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It makes the impact of disruptions on the whole supply chain greater than ever before. Many natural and man-made disasters, such as Hurricane Katrina 2005, Great East Japan Earthquake 2011, Thailand Flood 2011, Kumamoto Earthquake 2016, COVID-19 2019, and the recent Russia-Ukraine war 2022, have resulted in large-scale supply chain disruptions. Manufacturers had a large amount of opportunity losses due to production interruptions caused by the shortage of components. Moreover, a number of manufacturers were unable to get survived anymore due to component procurement disruptions.
In the past, how to reduce procurement costs, shorten procurement lead time, and maintain good relationships with suppliers are considered the most important matters when manufacturers make their decisions on procurement. Since the Great East Japan Earthquake of 2011, the development of an effective business continuity plan (BCP) has been considered one of the most important matters to Japanese manufacturers. As a part of BCP development, sourcing decision-making with consideration of supply chain disruption risks is becoming the most important process. In the increasingly competitive global environment, manufacturers should not only focus on the efficiency of their own production and logistics operations but also take measures, such as understanding the location of risks in the supply chain and diversifying procurement sources to reduce the risks of procurement shortages due to supply chain disruptions [1].
As known to all, BCP defines the activities for business continuity. It should be carried out under both normal and emergency situations to enable the business continuation or early recovery of core business operations in the event of natural disasters, major fires, terrorist attacks, or other emergency situations. With the aim of increasing the development rate of BCP in Japan, the Small and Medium Enterprise Agency has published a BCP development manual on its website, which explains how to develop a BCP for each business in detail. The process of BCP development is shown in Figure 1 [2].
BCP development and operation cycle.
There are five steps for BDP development and operation, including (1) understand business operations, (2) consider BCP preparations and prior measures, (3) formulate BCP, (4) establish BCP culture, and (5) test, maintain, and update BCP. Step 2 and step 3 are considered the most important and difficult steps among all the five steps. The significance of BCP and its economic effects are mentioned to show that BCP should be a system that also could generate economic effects even in normal periods compared to conventional disaster prevention measures [3]. However, many manufacturers are stuck between step 2 and step 3. Lacking visibility of benefits under normal situations and lacking mitigation effects against losses due to supply chain disruptions are cited as the main reasons for lacking progress in BCP development.
To help manufacturers to make their decision-making on risk mitigation measures creation as well as effectiveness evaluation, research on supply chain disruption risk management (SCDRM) to deal with supply chain disruptions has been attracting much attention and the number of papers has been increasing rapidly in recent 10 years. Proposals of these papers could be broadly divided into two types which are pre-measures and post-measures. Risk assessment of supply chain structures, supplier evaluation, and procurement allocation is considered the pre-measures. On the other hand, switching to alternative components and switching procurement sources are considered the post-measures. In addition, since most of the post-measures are ineffective without any pre-measures, pre-measures can be considered as plans for post-measures.
Based on the levels of decision-making, risk mitigation measures could be divided into strategic level, tactical level, and operational level. Assessing supply chain risks and determining what kind of supply chain structure should be built is considered the strategic level of decision-making. As a part of supply chain building, evaluating and selecting suppliers based on the decided supply chain structure is also considered the strategic level of decision-making. Concluding risk-hedging trading contracts, including procurement agreements, supply and penalty terms between upstream and downstream companies are considered the tactical level of decision-making. How to make post-measures more efficient is considered an operational level of decision-making. Figure 2 shows the risk mitigation measures by different decision-making levels. In this chapter, decision-making models of risk mitigation measures at the strategic level and tactical level are mainly discussed.
Risk mitigation measures at different decision-making levels.
The remainder of this chapter is organized as follows. Section 2 provides an introduction to the risk assessment of supply chain structures. Section 3 provides a study on the decision-making of manufacturers on suppliers selection and procurement allocation based on the risk assessment of supply chain structures. Section 4 presents a robust and competitive contract model for manufacturers. The chapter is concluded in Section 5.
This section presents literature reviews and a previous study about risk assessment of supply chain structures [4].
The economic impact of supply chain disruptions immediately after the Great East Japan Earthquake was examined and the amount of production losses caused by the supply chain disruptions to at least 0.35% of the GDP was estimated in [5]. In ref. [6], the responses of Japanese manufacturing firms to natural disasters, such as earthquake, tsunami, and nuclear disasters, were discussed. Based on case studies, several supply-chain recovery processes after natural disasters as well as humanitarian disruptions were discussed and reflection points in terms of disaster planning, and recovery responses were summarized. In ref. [7], several supply-chain structural models were built and the tradeoff relation between supply-chain efficiency and robustness under supply-chain disruption risks was discussed. Countermeasures for mitigating supply-chain disruption risks in terms of redundancy, robustness, and flexibility were discussed after the research work on supply-chain visualization in ref. [8].
As typical natural disasters, earthquakes cause significant damage to supply chains. Since earthquakes occur frequently in Japan, procurement disruptions due to earthquakes also occur frequently. Occurrence probability, as well as impact, are two main evaluation indicators of earthquakes. In this study, the recovery period of the supply chain from the earthquake is considered as the earthquake impact. A model of procurement disruptions due to earthquakes is developed to clarify the loss difference among different supply-chain structures in Japan.
Although the probability of an earthquake cannot be expressed accurately, as a general thought, occurrence probability could be estimated based on historical data on earthquakes. Since earthquakes less than seismic intensity 7 only have little impact on production and procurement activities, only earthquakes with a seismic intensity of 7 or over are considered in this study.
Table 1 shows the data about earthquakes over seismic intensity 7 in the last 10 years (2011–2021) which was collected from the website of the Japan Weather Association [9]. With the data in Table 1, the average annual probability of an earthquake which seismic intensity is 7 could be estimated. Since seismic intensity 7 earthquakes occurred 4 times in 11 years including 2021, the average annual occurrence probability is 0.36 and the average monthly occurrence probability should be 0.03.
Date and time | Epicenter | Magnitude | Max seismic intensity |
---|---|---|---|
2018/9/6 3:08 | Eastern Iburi of Hokkaido | M6.7 | 7 |
2016/4/16 1:25 | Kumamoto region of Kumamoto | M7.3 | 7 |
2016/4/14 21:26 | Kumamoto region of Kumamoto | M6.5 | 7 |
2011/3/11 14:46 | Sanriku offshore | M7.9 | 7 |
Earthquakes over seismic intensity 7 in the last 10 years (2011–2021) in Japan.
In addition, the number of related areas is an important attribute of the supply chain when discussing the probability of supply-chain disruptions. In general, the larger the number of related areas of a supply chain, the higher the probability of disruption will be. Japan is divided into seven regions which are used for statistical by government officials. They are Hokkaido, Tohoku, Kanto, Chubu, Kinki, Chugoku-Shikoku, and Kyushu-Okinawa. In this study, the relation between a number of related areas of component procurement activities and the probability of disruptions is focused to verify the disruption impact. Table 2 shows the disruption probability according to the number of related areas of a supply chain. It is calculated with a number of regions and the average monthly occurrence probability of earthquakes over seismic intensity 7.
Related areas | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
---|---|---|---|---|---|---|---|
Disruption probability | 0.004 | 0.009 | 0.013 | 0.017 | 0.022 | 0.026 | 0.030 |
Disruption probability by related areas of supply chain.
The recovery period of the supply chain from the earthquake could also be estimated based on past earthquake occurrences. Generally, the recovery period from earthquakes depends on industry types; it is necessary to estimate the recovery period with the data which should be collected from the manufacturing industry. Table 3 shows the recovery periods of several electronic device manufacturers after the Kumamoto earthquake on April 16, 2016 [10].
Business office | Location | Date of partial recovery | Date of full recovery |
---|---|---|---|
Renesas Semicond. Manuf. Co., Ltd., Kawashiri factory | Kumamoto-shi | Apr. 22 | May 22 |
FUJIFILM Kyusyu Co.,Ltd. | Kikuyomachi | Apr. 23 | May 23 |
Mitsubishi Electric Corp. Power Device Works Kumamoto | Koushi-shi | May 9 | May 31 |
Tokyo Electron Kyushu Ltd. | Koushi-shi | Apr. 25 | End of June |
Sony Semicond. Manuf. Co., Ltd., Kumamoto Tech. Ctr. | Kikuyomachi | May 9 | End of July |
Recovery dates of electronic device manufacturers after Kumamoto earthquake 2016.
The date of partial recovery in the table is the date when production activities are restarted partially. The date of full recovery in the table is the date when production activities recovered as the same as the production capacity planned beforehand. It is difficult to show the recovery of production capacity over time without the information on the recovery speed. Furthermore, it is also difficult to collect information on the recovery speed of production capacity since it is considered confidential information to manufacturers. To simplify this problem, in this study, only two conditions which are “recovered” and “not recovered” are taken into consideration, and then the average period of partial and full recovery of all manufacturers according to Table 3 is set as the estimated recovery period. With the results of the calculation, the estimated recovery period should be 36.6 days, nearly 1 month after the earthquake.
How to build and maintain competitive supply chains is the most important task for manufacturers. In particular, manufacturers whose products are in the competition period, such as smartphones in Japan market in the 2010s, LCD TV and PC in Japan market in 2000s.
In general, manufacturers adjust their suppliers and procurement terms for the next year annually based on their strategies and evaluation results of performances in the last year. In the past, procurement plans were decided by manufacturers based on an overall evaluation of procurement cost, quality of the component, and delivery time. In most cases, the minimum number of suppliers at the lowest procurement costs was decided as the procurement plan for next year. Figure 3 shows a basic supply chain structure which is a one-supplier-one-manufacturer structure. It is considered an extreme model of a few sources supply chain. In an electronic products supply chain, such as LCD TV and smartphone, comparing with the order receiving cycle of finished products, the procurement lead time of electronic components such as LCD panel is much longer. With reference to many LCD TV and smartphone assembly manufacturers, in this supply-chain model, the order receiving cycle of products from retailers is set to 1 month, lead time of component procurement from the supplier is set to 3 months.
A simple centralized procurement structure.
To analyze the impact of components procurement disruptions on the supply-chain structure, profit of the manufacturer should be the most important indicator. Eq. (1) shows the profit function of manufacturer. It is the difference between sales amount and costs including component procurement cost, inventory cost, and production cost.
Such centralized procurement structures can help manufacturers to reduce procurement costs in normal periods. However, manufacturers are not able to achieve components in the recovery periods when a supply chain disruption occurs. It makes manufacturers a huge opportunity loss due to production stoppages. As a general robust countermeasure for hedging disruption risks, multiple sourcing has been used widely. Figure 4 shows a simplified robust procurement structure with one more supplier adding to Figure 3. If one of the procurement channels gets disrupted, the manufacturer can receive part of the total components from another supplier at least. The with this procurement structure. The manufacturer is able to keep its production facility utilization to a certain degree and avoid some opportunity losses. The profit of the manufacturer in this structure is shown in Eq. (2).
A simple decentralized procurement structure.
In general, costs such as supplier management fees, contract fees, and ordering costs increase with the number of suppliers increasing. Although this decentralized procurement structure can be expected to reduce opportunity losses in the event of supply chain disruptions, the cost competitiveness of the supply chain is also decreased due to higher operating costs during normal periods.
Attributes of the supply chain, including related areas of procurement, are discussed to analyze the profit of manufacturer to clarify the difference between centralized procurement structure and decentralized procurement structure. The period of experiments is set to 3 years, and data for experiments is shown below.
Estimated product demand/month: 1000
Component procurement cost: 10,000
Component order lot size: 3000
Production cost (fixed): 10,000,000
Production cost (variable): 1000
Component procurement lead time: 3 months
Actual product demand/month:
Product price: 35,000
Inventory cost/month: 200
Figure 5 shows the total profit of the manufacturer which is the average value of 50 simulation runs with the number of related areas from 1 to 5. The vertical axis of the graph is the ratio of profit to maximum profit which could be achieved in a centralized procurement structure without any procurement disruptions in 3 years. From Figure 5, we can find that in more related areas of component procurement, lower profits for manufacturers in both centralized and decentralized procurement structures would be. However, comparing with a centralized structure, no significant profit reduction with increasing in related areas with a decentralized procurement structure. The effect of opportunity loss avoidance of a decentralized procurement structure is confirmed. The peak profit difference between the two structures could be confirmed in Figure 5 with the trend of increase and decrease.
Total profit of manufacturer by different related areas.
Supplier selection and procurement allocation are considered one of the most important strategy level decisions to manufacturers in planning component procurement. Generally, the decision-making of supplier evaluation and selection is based on the determined supply-chain structure. This section presents literature reviews and previous work on supplier selection and procurement allocation [11].
The procurement evaluation problem which was dealt with as a multi-objective function optimization problem with randomly varying weights of cost, quality, delivery, as well as economic risks was discussed in ref. [12]. Supplier selection from all candidate suppliers by comprehensive scale assessment, including procurement risks and costs is shown in ref. [13]. In ref. [14], the problem of an optimal number of suppliers selection by considering the component inventory level under procurement lead-time uncertainty is discussed. In [15], a supplier selection method for the purpose of minimizing both procurement costs and opportunity losses was proposed. The method is based on the assumption that the component procurement price of each supplier is the same, and the order volume from each supplier is also the same. Reference [16] focused on the decoupling of recurrent supply risks and disruption risks during sourcing decisions and procurement allocation.
As decision-making of supplier selection and procurement allocation based on the decentralized procurement structure, minimum total procurement costs, including management cost, purchasing cost, transportation cost, and the opportunity cost with considering procurement disruption should be set as the objective function.
An optimization method for supplier selection and procurement allocation based on a one-manufacturer-multiple-suppliers supply-chain structure is proposed in this study. It is the decision-making of the manufacturer on where and how many components to procure from candidate component suppliers whose basic attributes, such as quality and delivery could meet the requirements of the manufacturer for the next period. Therefore, decision variables are set as below.
Objective function
As discussed before, minimum total procurement costs, including management cost, purchasing cost, transportation cost, and the opportunity cost with considering procurement disruption, are considered as the objective function. Management cost is the cost involved in managing supplier activities and contracts. It increases or decreases depending on the number of suppliers. The purchasing cost is the total cost of purchasing components from all suppliers. Transportation costs can be calculated by multiplying the unit transportation cost of each component from one supplier to the manufacturer by transportation quantity which is the same as purchasing quantity.
Eq. (7) shows the amount of opportunity loss due to any
Constraints
Equations from Eq. (9) to Eq. (11) are considered as the constraints for decision-making, including total demand for components, procurement volume from each supplier, and the number of suppliers. Eq. (9) shows the constraint of component demand. The total volume of component
In many cases, procurement plans are decided based on the discussion in a procurement strategy meeting. As a support tool for management decisions, create and re-create supplier selection and procurement allocation plans in a short time are important. The effectiveness of Tabu-Search (TS) has been confirmed by numerous previous studies on a lot of classical optimization problems as well as practical problems. Comparing with other meta-heuristics, it is expected to search more neighborhood solutions with fewer search times. Since prohibitions are introduced to discourage search from coming back to previous-visited solutions. With considering of the applicability, a TS-based decision-making is proposed. There are five steps to decide the optimal supplier combination and procurement volume from each supplier. In this study, the average procurement cost of the supplier combination is considered as the evaluation index.
Initial supplier combination according to the tentatively determined numbers of suppliers is generated randomly. The procurement amount of each component from each supplier in the initial supplier combination is set randomly based on the constraint Eq. (10).
Check whether or not the solution could be improved according to the evaluation index. If it could be improved, create new supplier combinations by selecting the unselected suppliers in all candidate suppliers to replace the supplier with the highest procurement cost in the supplier combination after checking the constraints as well as the Tabu list. Otherwise, proceed to Step 4.
Update the Tabu list by adding the supplier combination with the lowest unit cost from supplier combinations generated by Step 2.
Adjust the component volume from the supplier with the highest procurement cost to the supplier with the lowest component procurement cost by minimum adjustment unit.
If the execution time
The effectiveness of the proposed TS-based decision-making is discussed in this subsection. The data for the numerical experiment is shown below.
Number of candidate suppliers: 8
Type of components: 3
Demand for each component type: 400, 300, 200
Range of management cost: 1500–2500
Minimum procurement volume range of each component type: 60–100, 45–75, 30–50
Maximum procurement volume range of each component type: 100–180, 80–150, 60–100
Component price range of each component type/per unit: 35–52, 40–62, 49–72
Transportation cost range of each component type/per unit: 3–7, 3–7, 3–7
Disruption probability of candidate suppliers: 18–27%
Figure 6 shows an example of the performance of TS-based decision-making against a random search in the terms of three suppliers. Comparing with random search, TS-based decision-making could reach a more accurate solution with much less search times. It could support managers to discuss and make a procurement plan efficiently in a management strategy meeting.
Total procurement cost search with random search and TS-based decision-making based on three suppliers.
With the results of risk assessment of supply-chain structures, as well as the results of supplier selection and procurement allocation, a trading contract between manufacturer and suppliers in which component procurement details are determined, should be discussed. In general, the procurement allocation determines the reference procurement volume of each component from each supplier. A trading contract that is concluded between manufacturer and supplier determines the terms of component trading. The manufacturer procures components from the supplier based on the estimated demand for a decided period. According to the example of LCD TV and smartphone assembly industry mentioned in Section 2, if the order-receiving cycle of products from retailers is 1 month and the lead time of component procurement from the supplier is 3 months, the manufacturer should place an order to the supplier with considering of the estimated demand for one month after the next 3 months and its component inventory.
Risk assessment of supply-chain structures and supplier selection and procurement allocation with risk evaluation can help manufacturers to reduce their procurement risks, but they could not help manufacturers to alleviate their losses in the event of a supply disruption. A robust and competitive procurement contract with post-measures execution consideration is also necessary for manufacturers. Many previous studies discussed the effectiveness of options contracts in managing supply-chain disruption risks. In ref. [17], a model for a three-echelon supply chain including two different manufacturers, one distributer and one retailer, to analyze the effect of the combination of option and buyback contracts under supply-disruption risk was created. In ref. [18], a supply-chain problem where a buyer receives a product from a cheap but unreliable main supplier and signs an option contract with a perfectly reliable backup supplier to share supply and demand uncertainty was discussed. A mechanism was developed to maximize system efficiency and a win–win relationship between supplier and buyer based on an optimization problem with option contracts. Reference [19] focused on a supply chain including a manufacturer who faces stochastic demand, an overseas module supplier, and two local module suppliers. The overseas supplier offers high-quality products while being susceptible to disruption risks. Though local suppliers have high reliability, it may decrease sharply if they offer products of lower quality. Optimal order volume and reservation volume of the manufacturer based on capacity reservation contract were derived.
The purpose of the contracts discussed above is to give procurement volume an adjustable range to avoid loss caused by uncertainties including supply disruptions. If this adjustable range is large enough, manufacturers can procure the necessary quantity of parts based on fluctuations in demand, and part of the loss caused by disruption can be covered by procuring the maximum level of the adjustable range from other suppliers.
To realize such an adjustable range for procurement, it is necessary for manufacturers to make a lump-sum payment to suppliers to determine the upper limit of procurement volume in advance. On the other hand, the higher the upper limit of the procurement volume range is, the supplier has to bear more inventory risk. Generally, the lump-sum amount is decided by the supplier with considering the inventory risk based on the upper limit of procurement volume.
Figure 7 shows the structure of trading volume and price with the upper limit of procurement volume that is dependent on the amount of lump-sum payment.
Structure of trading volume and price with the lump-sum payment.
Eq. (12) shows the profit of the manufacturer with this contract structure based on the simple decentralized procurement structure, as shown in Figure 4. It is similar to Eq. (2). With the lump-sum payment
The contract structure shown in Figure 7 with an adjustable range for procurement could be considered a robust method, however, the lump-sum payment makes the manufacturer cost extra expenses when the required volume of components is less than the reference volume or no procurement disruptions occur. The determination of procurement volume by lump-sum payments makes the price competitiveness of the manufacturer lower. To improve the problem, a structure of 2-stage procurement cost without lump-sum payments is proposed in this study. Figure 8 shows the concept of the contract structure.
Structure of 2-stage procurement cost.
Instead of lump-sum payments, the manufacturer should procure components at a higher unit price than the normal procurement price when the procurement volume is more than the reference procurement volume according to the result of procurement allocation.
Eq. (13) shows the profit of the manufacturer with this contract structure while
It is considered that the competitiveness of the contract structure which is shown in Figure 7 should be higher than the contract structure which is shown in Figure 8 when product demand is in an expanding trend with high fluctuation. On the other hand, when product demand is in a stable trend with low fluctuation, it is considered that the competitiveness of the contract structure which is shown in Figure 8 should be higher than the contract structure which is shown in Figure 7.
As shown in Figure 9, it is a combination structure of lump-sum payments and 2-stage procurement cost. The amount of lump-sum payments and procurement price to the additional volume are adjusted by the manufacturer with considering the features of product demand. The supplier should guarantee its supply volume by or over
Structure of lump-sum payment and 2-stage procurement cost.
Profit of manufacturer with this contract structure could be expressed by Eq. (12) while
The experiment environment is set as the same as in Section 2.3. It is considered that there are no differences in lump-sum payment, procurement volume and
Total profit of manufacturer by different related areas with normal trading model and proposed contract model.
The vertical and horizontal axes of Figure 10 are set as the same as in Figure 5. The results in Figure 10 are also the average value of 50 simulation runs. The normal trading model is the model in which the manufacturer places an order to the supplier based on the estimated product demand, and the supplier supplies components according to the order at a pre-determined trading price. On the other hand, the proposed contract model is the contract structure of lump-sum payment and 2-stage procurement cost. From Figure 10, it could be found that with the proposed contract model, there is no significant reduction in profit with increasing in related areas.
As discussed in Section 1, many manufacturers are stuck between step 2 and step 3 of the BDP development and operation cycle. Lack of visibility of benefits under normal situations as well as mitigation effects against losses due to supply chain disruptions is considered the main reasons. Figure 11 shows the detail of Figure 2 which is the summary of prior measures discussion and design. In this chapter, except for the process of execution based on contract terms, the hierarchy of prior measures and ideas on specific measures, including risk assessment of supply-chain structures, supplier selection, procurement allocation, and risk-hedging contracts conclusion, is proposed. The effectiveness of these proposed measures is confirmed by numerical experiments.
Summary of prior measures discussion and design.
In Section 2, the profit of manufacturers with a centralized procurement structure model and decentralized procurement structure model is confirmed under supply-chain disruption risks due to earthquakes in Japan. The loss aversion effect of a decentralized procurement structure is confirmed quantitatively. In Section 3, a decision-making method for a decentralized procurement structure is proposed based on Tabu Search. It is confirmed that it could help decision-makers to make more accurate solutions effectively in supplier selection and procurement allocation. In Section 4, the lump-sum payment and 2-stage procurement cost structure contract model based on the selected suppliers and the results of procurement allocation is proposed. It could help manufacturers to solve the problem of securing procurement volume while falling in procurement disruptions and the problem of keeping procurement at low cost even in normal periods.
Market power and cooperation level between upstream and downstream companies are necessary to be considered in designing and planning supply chains. Furthermore, all of the analyses and proposals in this chapter are from the perspective of the manufacturer. Actually, a robust and competitive supply chain could not be built and kept without cooperation from suppliers. Therefore, analysis from the perspective of the supplier to clarify the conditions for realizing a win–win relationship is also an important task.
Product price
Volume of product orders from the retailer
Inventory level of components
Component procurement cost/per unit
Volume of component procurement
Inventory cost/per unit
Fixed cost of production
Variable cost of production
Period (Month)
Volume of product orders from the retailer
Volume of component procurement from supplier 1
Volume of component procurement from supplier 2
If there is no procurement disruption,
If there is no procurement disruption,
Number of suppliers
If components are sourced from the supplier
Procurement volumes of components
Supplier ID (
ID of component types (
Demand for component
Management cost of supplier
Price of component
Minimum procurement volume of components
Maximum procurement volume of components
Opportunity loss of components
Transportation cost of components
Disruption probability of supplier
ID of interrupted suppliers among selected suppliers (
ID of among selected suppliers (
The interrupted supplier group (Ex.
The uninterrupted supplier group (Ex.
Maximum procurement volume of components
The amount of opportunity loss due to any
Upper limit of procurement volume determined by the supplier according to the unit price of the additional procurement volume
Lump-sum payment to supplier 1
Lump-sum payment to supplier 2
Product price
Volume of product orders from the retailer
Inventory level of components
Component procurement cost/per unit
Inventory cost/per unit
Fixed cost of production
Variable cost of production
Period (Month)
Reference procurement volume of supplier 1
Reference procurement volume of supplier 2
Component procurement unit cost for additional volume
Volume of component procurement
Volume of component procurement from supplier 1
Volume of component procurement from supplier 2
Upper limit of procurement volume from supplier 1 according to the amounts of lump-sum payments to supplier 1
Upper limit of procurement volume from supplier 2 according to the amounts of lump-sum payments to supplier 2
Upper limit of procurement volume determined by the supplier according to the unit price of the additional procurement volume
If there is no procurement disruption,
In recent years, supply chains in the manufacturing industry have become more and more complicated, and many cases of supply chain disruptions due to natural disasters have been confirmed. It is necessary for manufacturers to build a system that can help them alleviate losses and shorten recovery periods due to supply chain disruptions. Supplier diversification, as well as supplier evaluation and selection, are discussed as risk aversion measures in many papers. However, even if the procurement source has been evaluated enough, there are problems, such as opportunity loss during recovery periods and soaring procurement costs during normal periods. In this chapter, to help Japanese manufacturers to alleviate opportunity loss under component procurement disruption situations and keep cost competitiveness in normal periods, decision-making models of supply chain structure assessment, supplier selection, procurement allocation, and trading contracts are designed and verified.
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2022",editors:[{id:"59529",title:"Dr.",name:"Ke",middleName:null,surname:"Xu",slug:"ke-xu",fullName:"Ke Xu"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11356",title:"Molecular Cloning",subtitle:null,isOpenForSubmission:!1,hash:"671c629dd86e97f0fb467b9e70e92296",slug:"molecular-cloning",bookSignature:"Sadık Dincer, Hatice Aysun Mercimek Takcı and Melis Sumengen Ozdenef",coverURL:"https://cdn.intechopen.com/books/images_new/11356.jpg",editedByType:"Edited by",publishedDate:"July 27th 2022",editors:[{id:"188141",title:"Prof.",name:"Sadik",middleName:null,surname:"Dincer",slug:"sadik-dincer",fullName:"Sadik Dincer"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7827",title:"Interpersonal Relationships",subtitle:null,isOpenForSubmission:!1,hash:"ebf41f4d17c75010eb3294cc8cac3d47",slug:"interpersonal-relationships",bookSignature:"Martha Peaslee Levine",coverURL:"https://cdn.intechopen.com/books/images_new/7827.jpg",editedByType:"Edited by",publishedDate:"July 27th 2022",editors:[{id:"186919",title:"Dr.",name:"Martha",middleName:null,surname:"Peaslee Levine",slug:"martha-peaslee-levine",fullName:"Martha Peaslee Levine"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10908",title:"Advances in Decision Making",subtitle:null,isOpenForSubmission:!1,hash:"126486f7f91e18e2e3539a32c38be7b1",slug:"advances-in-decision-making",bookSignature:"Fausto Pedro García Márquez",coverURL:"https://cdn.intechopen.com/books/images_new/10908.jpg",editedByType:"Edited by",publishedDate:"July 27th 2022",editors:[{id:"22844",title:"Prof.",name:"Fausto Pedro",middleName:null,surname:"García Márquez",slug:"fausto-pedro-garcia-marquez",fullName:"Fausto Pedro García Márquez"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10669",title:"Corrosion",subtitle:"Fundamentals and Protection Mechanisms",isOpenForSubmission:!1,hash:"4a76d54f8a40fc2e7002a8d13fd617c1",slug:"corrosion-fundamentals-and-protection-mechanisms",bookSignature:"Fahmina Zafar, Anujit Ghosal and Eram Sharmin",coverURL:"https://cdn.intechopen.com/books/images_new/10669.jpg",editedByType:"Edited by",publishedDate:"July 27th 2022",editors:[{id:"89672",title:"Dr.",name:"Fahmina",middleName:null,surname:"Zafar",slug:"fahmina-zafar",fullName:"Fahmina Zafar"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10677",title:"Advanced Topics of Topology",subtitle:null,isOpenForSubmission:!1,hash:"bf964c52f9e653fac20a7fcab58070e5",slug:"advanced-topics-of-topology",bookSignature:"Francisco Bulnes",coverURL:"https://cdn.intechopen.com/books/images_new/10677.jpg",editedByType:"Edited by",publishedDate:"July 27th 2022",editors:[{id:"92918",title:"Dr.",name:"Francisco",middleName:null,surname:"Bulnes",slug:"francisco-bulnes",fullName:"Francisco Bulnes"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11195",title:"Recent Advances in Biometrics",subtitle:null,isOpenForSubmission:!1,hash:"2d32e33e0f499cb5241734bb75dd2a83",slug:"recent-advances-in-biometrics",bookSignature:"Muhammad Sarfraz",coverURL:"https://cdn.intechopen.com/books/images_new/11195.jpg",editedByType:"Edited by",publishedDate:"July 27th 2022",editors:[{id:"215610",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sarfraz",slug:"muhammad-sarfraz",fullName:"Muhammad Sarfraz"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},subject:{topic:{id:"332",title:"Melittology",slug:"entomology-melittology",parent:{id:"35",title:"Entomology",slug:"entomology"},numberOfBooks:3,numberOfSeries:0,numberOfAuthorsAndEditors:72,numberOfWosCitations:63,numberOfCrossrefCitations:52,numberOfDimensionsCitations:100,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicId:"332",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"8929",title:"Modern Beekeeping",subtitle:"Bases for Sustainable Production",isOpenForSubmission:!1,hash:"cbf5aca68ed2c6690ad99f68aaaddcaf",slug:"modern-beekeeping-bases-for-sustainable-production",bookSignature:"Ramón Eduardo Rebolledo Ranz",coverURL:"https://cdn.intechopen.com/books/images_new/8929.jpg",editedByType:"Edited by",editors:[{id:"193813",title:"Dr.",name:"Ramón Eduardo",middleName:null,surname:"Rebolledo Ranz",slug:"ramon-eduardo-rebolledo-ranz",fullName:"Ramón Eduardo Rebolledo Ranz"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7561",title:"Beekeeping",subtitle:"New Challenges",isOpenForSubmission:!1,hash:"1c47c831256fe10ff19fb10f490930fc",slug:"beekeeping-new-challenges",bookSignature:"Ramón Eduardo Rebolledo Ranz",coverURL:"https://cdn.intechopen.com/books/images_new/7561.jpg",editedByType:"Edited by",editors:[{id:"193813",title:"Dr.",name:"Ramón Eduardo",middleName:null,surname:"Rebolledo Ranz",slug:"ramon-eduardo-rebolledo-ranz",fullName:"Ramón Eduardo Rebolledo Ranz"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"5163",title:"Beekeeping and Bee Conservation",subtitle:"Advances in Research",isOpenForSubmission:!1,hash:"fc469ff4d2cf6651cfdbf3c5cf90a469",slug:"beekeeping-and-bee-conservation-advances-in-research",bookSignature:"Emerson Dechechi Chambo",coverURL:"https://cdn.intechopen.com/books/images_new/5163.jpg",editedByType:"Edited by",editors:[{id:"94059",title:"Dr.",name:"Emerson",middleName:"Dechechi",surname:"Dechechi Chambó",slug:"emerson-dechechi-chambo",fullName:"Emerson Dechechi Chambó"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:3,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"50073",doi:"10.5772/62487",title:"Impacts of Pesticides on Honey Bees",slug:"impacts-of-pesticides-on-honey-bees",totalDownloads:3411,totalCrossrefCites:19,totalDimensionsCites:39,abstract:"This chapter focuses on the detrimental effects that pesticides have on managed honey bee colonies and their productivity. We examine first the routes of exposure of bees to agrochemicals used for crop protection and their application to crops, fate and contamination of water and plants around the fields. Most of the time, the exposure of bees to pesticides is through ingestion of residues found in the pollen and nectar of plants and in water. Honey bees are also exposed to pesticides used for the treatment of Varroa and other parasites. The basic concepts about the toxicity of the different kinds of pesticides are explained next. Various degrees of toxicity are found among agrochemicals, and emphasis is given to the classic tenet of toxicology, “the dose makes the poison,” and its modern version “the dose and the time of exposure makes the poison.” These two factors, dose and time, help us understand the severity of the impacts that pesticides may have on bees and their risk, which are analysed in the third section. Sublethal effects are also considered. The final section is devoted to some practical advice for avoiding adverse impacts of pesticides in beekeeping.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Francisco Sanchez-Bayo and Koichi Goka",authors:[{id:"74970",title:"Dr.",name:"Francisco",middleName:null,surname:"Sánchez-Bayo",slug:"francisco-sanchez-bayo",fullName:"Francisco Sánchez-Bayo"},{id:"192045",title:"Dr.",name:"Koichi",middleName:null,surname:"Goka",slug:"koichi-goka",fullName:"Koichi Goka"}]},{id:"50307",doi:"10.5772/62654",title:"From Extraction to Meliponiculture: A Case Study of the Management of Stingless Bees in the West-Central Region of Mexico",slug:"from-extraction-to-meliponiculture-a-case-study-of-the-management-of-stingless-bees-in-the-west-cent",totalDownloads:2743,totalCrossrefCites:5,totalDimensionsCites:9,abstract:"Currently, stingless bees' populations are declining due to environmental degradation. In this context, the authors have developed a research project in the central-western region of Mexico with the goal to generate strategies for conservation and sustainable management of stingless bees. The chapter aims to present the process of this investigation and its main results in terms of a) local knowledge and management strategies of stingless bees, and b) the social process of technological appropriation of meliponiculture by beekeepers. We recognized specific knowledge on the biology and ecology of stingless bees that result in a system for identifying species and management strategies of wild populations of these bees based on the extraction of nests. The implementation of an innovative productive activity based on the principles of meliponiculture and current techniques has been well received by producers, which has led to the formation of the Meliponicultores Michoacanos del Balsas Association, which grows five species of stingless bees. The research suggests that conservation associated with the use of bees (integral meliponiculture) can be enhanced in the region. Faced with the loss of biodiversity and environmental crisis, it is essential to maintain and enhance local knowledge of stingless bees and management practices. This represents an alternative to develop management schemes that allow the raising and breeding of these bees, while its products are obtained.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Alejandro Reyes-González, Andrés Camou-Guerrero and Salvador\nGómez-Arreola",authors:[{id:"179951",title:"Dr.",name:"Andres",middleName:null,surname:"Camou-Guerrero",slug:"andres-camou-guerrero",fullName:"Andres Camou-Guerrero"},{id:"185413",title:"MSc.",name:"Alejandro",middleName:null,surname:"Reyes-González",slug:"alejandro-reyes-gonzalez",fullName:"Alejandro Reyes-González"},{id:"192049",title:"Dr.",name:"Salvador",middleName:null,surname:"Gómez-Arreola",slug:"salvador-gomez-arreola",fullName:"Salvador Gómez-Arreola"}]},{id:"50170",doi:"10.5772/62395",title:"A Comprehensive Characterization of the Honeybees in Siberia (Russia)",slug:"a-comprehensive-characterization-of-the-honeybees-in-siberia-russia-",totalDownloads:2296,totalCrossrefCites:4,totalDimensionsCites:8,abstract:"A comprehensive study of some populations of honeybee (332 colonies) in Siberia (Tomsk region, Krasnoyarsk Krai (Yenisei population), Altai) using morphometric and molecular genetic methods was conducted. Infestation of bees (132 colonies) by Nosema has also been studied. Three variants of the COI-COII mtDNA locus were registered: PQQ, PQQQ (typical for Apis m. mellifera), and Q (specific for southern races). It was established that 64% of bee colonies from the Tomsk region and all colonies studied from the Krasnoyarsk and the Altai territories originate from Apis m. mellifera on the maternal line. According to the morphometric study, the majority of bee colonies of the Tomsk region are hybrids; in some colonies the mismatch of morphometric and mtDNA data was observed. Moreover, the majority of bee colonies infected by Nosema were hybrids. Yenisei population may be considered as a unique Apis m. mellifera population. Microsatellite analysis (loci А008, Ap049, AC117, AC216, Ap243, H110, A024, A113) showed the specific distribution of genotypes and alleles for some loci in the bees, which differ by geographical location. Loci A024 and Ap049 are of considerable interest for further study as candidate markers for differentiation of subspecies; locus A008 can be considered informative for determining of different ecotypes of Apis m. mellifera.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Nadezhda V. Ostroverkhova, Olga L. Konusova, Aksana N. Kucher\nand Igor V. Sharakhov",authors:[{id:"180112",title:"Ph.D.",name:"Nadezhda",middleName:null,surname:"Ostroverkhova",slug:"nadezhda-ostroverkhova",fullName:"Nadezhda Ostroverkhova"},{id:"180249",title:"Ms.",name:"Olga",middleName:null,surname:"Konusova",slug:"olga-konusova",fullName:"Olga Konusova"},{id:"180342",title:"Prof.",name:"Aksana",middleName:null,surname:"Kucher",slug:"aksana-kucher",fullName:"Aksana Kucher"},{id:"180343",title:"Prof.",name:"Igor",middleName:null,surname:"Sharakhov",slug:"igor-sharakhov",fullName:"Igor Sharakhov"}]},{id:"50683",doi:"10.5772/63145",title:"Advances in Pharmacological Activities and Chemical Composition of Propolis Produced in Americas",slug:"advances-in-pharmacological-activities-and-chemical-composition-of-propolis-produced-in-americas",totalDownloads:2578,totalCrossrefCites:2,totalDimensionsCites:8,abstract:"Propolis is a resinous material produced by bees from the selective collection of plant exudates that are subsequently mixed with beeswax and salivary bee secretions. Propolis has been used in folk medicine, and certainly, several studies have validated its biological properties. The chemical composition and pharmacological activities of propolis collected through North (including Central America and Caribbean) and South America have been studied in the last years, and several papers have reported differences and similarities among the analysed geographical samples. Propolis has been classified according to its aspect and plant source; however, the ecological diversity present along the Americas provides a plethora of botanical resins. Herein, we summarize and discuss most of the studies performed at present on this profitable product for apiculture, attempting to compare the bioactivity, phytochemical diversity and botanical sources of honeybee propolis produced in Americas.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Efrain Alday, Moisés Navarro-Navarro, Adriana Garibay-Escobar,\nRamón Robles-Zepeda, Javier Hernandez and Carlos Velazquez",authors:[{id:"96966",title:"MSc.",name:"Moises",middleName:null,surname:"Navarro-Navarro",slug:"moises-navarro-navarro",fullName:"Moises Navarro-Navarro"},{id:"180409",title:"Dr.",name:"Carlos",middleName:null,surname:"Velazquez",slug:"carlos-velazquez",fullName:"Carlos Velazquez"},{id:"186351",title:"Dr.",name:"Ramón",middleName:null,surname:"Robles-Zepeda",slug:"ramon-robles-zepeda",fullName:"Ramón Robles-Zepeda"},{id:"186352",title:"MSc.",name:"Efrain",middleName:null,surname:"Alday",slug:"efrain-alday",fullName:"Efrain Alday"},{id:"186353",title:"Dr.",name:"Javier",middleName:null,surname:"Hernandez",slug:"javier-hernandez",fullName:"Javier Hernandez"},{id:"189161",title:"Dr.",name:"Adriana",middleName:null,surname:"Garibay-Escobar",slug:"adriana-garibay-escobar",fullName:"Adriana Garibay-Escobar"}]},{id:"71161",doi:"10.5772/intechopen.91196",title:"Detailed Review on Pesticidal Toxicity to Honey Bees and Its Management",slug:"detailed-review-on-pesticidal-toxicity-to-honey-bees-and-its-management",totalDownloads:1053,totalCrossrefCites:1,totalDimensionsCites:6,abstract:"This chapter deals with the effects of different pesticides used in agro-ecosystem on honey bees and other pollinators and probable measures to manage this escalating problem of global decline of managed as well as the wild insect pollinators. This chapter describes different routes from which pollinators, especially honey bees get exposed to the different toxicants, followed by poisoning symptoms in honey bees. Further, this chapter focuses on the classification of different toxicants in different classes as per their nature. Finally, the management of these different toxicants and their toxicity to avoid bee poisoning has been considered in the later portion of the chapter.",book:{id:"8929",slug:"modern-beekeeping-bases-for-sustainable-production",title:"Modern Beekeeping",fullTitle:"Modern Beekeeping - Bases for Sustainable Production"},signatures:"Gaurava Kumar, Swoyam Singh and Rukesh Pramod Kodigenahalli Nagarajaiah",authors:[{id:"305621",title:"Ph.D. Student",name:"Gaurava",middleName:null,surname:"Kumar",slug:"gaurava-kumar",fullName:"Gaurava Kumar"},{id:"315507",title:"Dr.",name:"Swoyam",middleName:null,surname:"Singh",slug:"swoyam-singh",fullName:"Swoyam Singh"},{id:"315508",title:"Dr.",name:"Rukesh",middleName:null,surname:"Pramod K.N.",slug:"rukesh-pramod-k.n.",fullName:"Rukesh Pramod K.N."}]}],mostDownloadedChaptersLast30Days:[{id:"50170",title:"A Comprehensive Characterization of the Honeybees in Siberia (Russia)",slug:"a-comprehensive-characterization-of-the-honeybees-in-siberia-russia-",totalDownloads:2302,totalCrossrefCites:4,totalDimensionsCites:8,abstract:"A comprehensive study of some populations of honeybee (332 colonies) in Siberia (Tomsk region, Krasnoyarsk Krai (Yenisei population), Altai) using morphometric and molecular genetic methods was conducted. Infestation of bees (132 colonies) by Nosema has also been studied. Three variants of the COI-COII mtDNA locus were registered: PQQ, PQQQ (typical for Apis m. mellifera), and Q (specific for southern races). It was established that 64% of bee colonies from the Tomsk region and all colonies studied from the Krasnoyarsk and the Altai territories originate from Apis m. mellifera on the maternal line. According to the morphometric study, the majority of bee colonies of the Tomsk region are hybrids; in some colonies the mismatch of morphometric and mtDNA data was observed. Moreover, the majority of bee colonies infected by Nosema were hybrids. Yenisei population may be considered as a unique Apis m. mellifera population. Microsatellite analysis (loci А008, Ap049, AC117, AC216, Ap243, H110, A024, A113) showed the specific distribution of genotypes and alleles for some loci in the bees, which differ by geographical location. Loci A024 and Ap049 are of considerable interest for further study as candidate markers for differentiation of subspecies; locus A008 can be considered informative for determining of different ecotypes of Apis m. mellifera.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Nadezhda V. Ostroverkhova, Olga L. Konusova, Aksana N. Kucher\nand Igor V. Sharakhov",authors:[{id:"180112",title:"Ph.D.",name:"Nadezhda",middleName:null,surname:"Ostroverkhova",slug:"nadezhda-ostroverkhova",fullName:"Nadezhda Ostroverkhova"},{id:"180249",title:"Ms.",name:"Olga",middleName:null,surname:"Konusova",slug:"olga-konusova",fullName:"Olga Konusova"},{id:"180342",title:"Prof.",name:"Aksana",middleName:null,surname:"Kucher",slug:"aksana-kucher",fullName:"Aksana Kucher"},{id:"180343",title:"Prof.",name:"Igor",middleName:null,surname:"Sharakhov",slug:"igor-sharakhov",fullName:"Igor Sharakhov"}]},{id:"70501",title:"Southeast Asian Meliponiculture for Sustainable Livelihood",slug:"southeast-asian-meliponiculture-for-sustainable-livelihood",totalDownloads:1262,totalCrossrefCites:2,totalDimensionsCites:4,abstract:"Stingless bees (Apidae: Meliponini) are one of the most important pollinators of native plants and economic crops in tropical and subtropical parts of the world. They not only establish large perennial colonies with complex social organization but also have a diverse nesting biology. The economic utilization of a total of 60 stingless bee species in Asia has been reported. The current status of meliponiculture in Southeast Asia is mainly focused on pollination utilization and honey and propolis production. This chapter shows that small-scale beekeeping of stingless bees, which is suitable for the flowering pattern in the tropics, is one of the best potential alternative opportunities. The cost-effectiveness analysis based on production yield, investment cost, and profit-return rate is reviewed. Finally, a sustainable utilization of stingless bees is considered to be an enhancer of pollination services both in an agricultural crop and natural ecosystem.",book:{id:"8929",slug:"modern-beekeeping-bases-for-sustainable-production",title:"Modern Beekeeping",fullTitle:"Modern Beekeeping - Bases for Sustainable Production"},signatures:"Atsalek Rattanawannee and Orawan Duangphakdee",authors:[{id:"283087",title:"Ph.D.",name:"Atsalek",middleName:null,surname:"Rattanawannee",slug:"atsalek-rattanawannee",fullName:"Atsalek Rattanawannee"},{id:"306411",title:"Dr.",name:"Orawan",middleName:null,surname:"Duangphakdee",slug:"orawan-duangphakdee",fullName:"Orawan Duangphakdee"}]},{id:"50073",title:"Impacts of Pesticides on Honey Bees",slug:"impacts-of-pesticides-on-honey-bees",totalDownloads:3419,totalCrossrefCites:20,totalDimensionsCites:41,abstract:"This chapter focuses on the detrimental effects that pesticides have on managed honey bee colonies and their productivity. We examine first the routes of exposure of bees to agrochemicals used for crop protection and their application to crops, fate and contamination of water and plants around the fields. Most of the time, the exposure of bees to pesticides is through ingestion of residues found in the pollen and nectar of plants and in water. Honey bees are also exposed to pesticides used for the treatment of Varroa and other parasites. The basic concepts about the toxicity of the different kinds of pesticides are explained next. Various degrees of toxicity are found among agrochemicals, and emphasis is given to the classic tenet of toxicology, “the dose makes the poison,” and its modern version “the dose and the time of exposure makes the poison.” These two factors, dose and time, help us understand the severity of the impacts that pesticides may have on bees and their risk, which are analysed in the third section. Sublethal effects are also considered. The final section is devoted to some practical advice for avoiding adverse impacts of pesticides in beekeeping.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Francisco Sanchez-Bayo and Koichi Goka",authors:[{id:"74970",title:"Dr.",name:"Francisco",middleName:null,surname:"Sánchez-Bayo",slug:"francisco-sanchez-bayo",fullName:"Francisco Sánchez-Bayo"},{id:"192045",title:"Dr.",name:"Koichi",middleName:null,surname:"Goka",slug:"koichi-goka",fullName:"Koichi Goka"}]},{id:"50135",title:"Breeding Program Design Principles for Royal Jelly",slug:"breeding-program-design-principles-for-royal-jelly",totalDownloads:2780,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This research was carried out to infer the genetic value to produce royal jelly in Africanized Apis mellifera L. honeybees with the compilation of data collected from 2006 to 2011. Genetic information of the selected and accessed colonies was obtained using the total DNA extraction techniques of nurse honeybees’ thorax with molecular markers for MRJP3 protein and characterized in Apis mellifera L. From the information on the colonies and genealogical structure were predicted genetic values of the colonies and queens for the larvae acceptance trait (%), royal jelly per colony (g), and royal jelly per cup (mg). Animal model with Bayesian Inference was used from Multiple Trait Gibbs Sampling software in Animal Models, Gibbs chains 58,500 cycles resulting from 650,000 cycles with intervals and disposal of 65,000 and 10 withdraw, respectively. From the predicted values, the colonies were classified into upper and lower. To compare the average of the genetic values according to the genotypes, the average multiple comparison tests were proceeded and implemented in routine PROC GENMOD from the Statistical Analysis System. Environmental effects were considered, time and hive type (standard Langstroth) as having flat distribution and collection as chi-square distribution. The studies presented an increase in the alleles C and D and the alleles D and E—referring to MRJPs—found in the highest genetic value for royal jelly production. Alleles D, E, and C are important when evaluating the parameters larvae acceptance, royal jelly per colony, and royal jelly per cup and, occasionally, it was the DE genotype that stood out royal jelly production. Genotypes DE, DC, and EC are those that should be kept in this evaluation system for royal jelly production, and the other genotypes should be discarded because they had the worst performance for the parameters evaluated.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Katia Ostrovski-Tomporoski, Patrícia Faquinello, Fabiana Martins\nCosta-Maia, Maria Claudia Ruvolo-Takasusuki, Pedro da Rosa\nSantos and Vagner Arnaut de Toledo",authors:[{id:"92329",title:"Dr.",name:"Vagner",middleName:"De Alencar",surname:"Arnaut De Toledo",slug:"vagner-arnaut-de-toledo",fullName:"Vagner Arnaut De Toledo"},{id:"119608",title:"Dr.",name:"Maria Claudia",middleName:"Colla",surname:"Ruvolo-Takasusuki",slug:"maria-claudia-ruvolo-takasusuki",fullName:"Maria Claudia Ruvolo-Takasusuki"},{id:"180234",title:"Dr.",name:"Patricia",middleName:null,surname:"Faquinello",slug:"patricia-faquinello",fullName:"Patricia Faquinello"},{id:"180235",title:"Prof.",name:"Fabiana",middleName:null,surname:"Costa-Maia",slug:"fabiana-costa-maia",fullName:"Fabiana Costa-Maia"},{id:"180368",title:"M.Sc.",name:"Katia",middleName:"Regina",surname:"Ostrovski-Tomporoski",slug:"katia-ostrovski-tomporoski",fullName:"Katia Ostrovski-Tomporoski"}]},{id:"50521",title:"Rearing Bumble Bees for Research and Profit: Practical and Ethical Considerations",slug:"rearing-bumble-bees-for-research-and-profit-practical-and-ethical-considerations",totalDownloads:2928,totalCrossrefCites:4,totalDimensionsCites:4,abstract:"The commercial production of bumble bee colonies is a multi-million dollar business worldwide. The pollination of greenhouse tomatoes is largely dependent on this industry. However, microparasites are prevalent in many of these colonies and can spread to wild populations of bumble bees. Academic researchers now commonly purchase colonies for their work. I believe that this raises some questions: (a) What is the danger of exacerbating the problem of spread of parasites and pathogens to wild population of bumble bees from field studies using purchased colonies? (b) How representative studies are done on only a few species, for example, B. terrestris, B. impatiens? (c) Does the purchase and use of these colonies give tacit approval to the industry, which may be having a detrimental effect on the native populations of bumble bees? This is an ethical issue. (d) Loss of “feeling for the organism” by researchers and particularly graduate students. These issues were discussed, and the classical method of bumble bee rearing which avoids these problems was described.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Robin E. Owen",authors:[{id:"101485",title:"Dr.",name:"Robin",middleName:"Edward",surname:"Owen",slug:"robin-owen",fullName:"Robin Owen"}]}],onlineFirstChaptersFilter:{topicId:"332",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:330,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:9,numberOfPublishedChapters:139,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:122,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:112,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:21,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"July 5th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"27",title:"Multi-Agent Systems",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",isOpenForSubmission:!0,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:20,paginationItems:[{id:"82526",title:"Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge",doi:"10.5772/intechopen.105627",signatures:"Theocharis Kravaris and George A. Vouros",slug:"deep-multiagent-reinforcement-learning-methods-addressing-the-scalability-challenge",totalDownloads:19,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Multi-Agent Technologies and Machine Learning",coverURL:"https://cdn.intechopen.com/books/images_new/11445.jpg",subseries:{id:"27",title:"Multi-Agent Systems"}}},{id:"82196",title:"Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature",doi:"10.5772/intechopen.104944",signatures:"Kamarajugadda Kishore Kumar and Movva Pavani",slug:"multi-features-assisted-age-invariant-face-recognition-and-retrieval-using-cnn-with-scale-invariant-",totalDownloads:14,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"82063",title:"Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics",doi:"10.5772/intechopen.105116",signatures:"Michele Bennett, Ewa J. Kleczyk, Karin Hayes and Rajesh Mehta",slug:"evaluating-similarities-and-differences-between-machine-learning-and-traditional-statistical-modelin",totalDownloads:7,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Machine Learning and Data Mining - Annual Volume 2022",coverURL:"https://cdn.intechopen.com/books/images_new/11422.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"81791",title:"Self-Supervised Contrastive Representation Learning in Computer Vision",doi:"10.5772/intechopen.104785",signatures:"Yalin Bastanlar and Semih Orhan",slug:"self-supervised-contrastive-representation-learning-in-computer-vision",totalDownloads:57,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}}]},overviewPagePublishedBooks:{paginationCount:9,paginationItems:[{type:"book",id:"7723",title:"Artificial Intelligence",subtitle:"Applications in Medicine and Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7723.jpg",slug:"artificial-intelligence-applications-in-medicine-and-biology",publishedDate:"July 31st 2019",editedByType:"Edited by",bookSignature:"Marco Antonio Aceves-Fernandez",hash:"a3852659e727f95c98c740ed98146011",volumeInSeries:1,fullTitle:"Artificial Intelligence - Applications in Medicine and Biology",editors:[{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}}]},{type:"book",id:"7726",title:"Swarm Intelligence",subtitle:"Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/7726.jpg",slug:"swarm-intelligence-recent-advances-new-perspectives-and-applications",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Javier Del Ser, Esther Villar and Eneko Osaba",hash:"e7ea7e74ce7a7a8e5359629e07c68d31",volumeInSeries:2,fullTitle:"Swarm Intelligence - Recent Advances, New Perspectives and Applications",editors:[{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",institutionURL:null,country:{name:"Spain"}}}]},{type:"book",id:"7656",title:"Fuzzy Logic",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7656.jpg",slug:"fuzzy-logic",publishedDate:"February 5th 2020",editedByType:"Edited by",bookSignature:"Constantin Volosencu",hash:"54f092d4ffe0abf5e4172a80025019bc",volumeInSeries:3,fullTitle:"Fuzzy Logic",editors:[{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. 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He previously worked as a post-doctoral fellow at the Ben-Gurion University of Negev, Israel; University of the Free State, South Africa; and Central University of Technology Bloemfontein, South Africa. He obtained his Ph.D. in Organic Chemistry from Nagaoka University of Technology, Japan. He has published more than seventy-four journal articles and attended several national and international conferences as speaker and chair. Dr. Kendrekar has received many international awards. He has several funded projects, namely, anti-malaria drug development, MRSA, and SARS-CoV-2 activity of curcumin and its formulations. He has filed four patents in collaboration with the University of Central Lancashire and Mayo Clinic Infectious Diseases. 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Dr. Adimule has attended, chaired, and presented papers at national and international conferences. He is a guest editor for Topics in Catalysis and other journals. He is also an editorial board member, life member, and associate member for many international societies and research institutions. His research interests include nanoelectronics, material chemistry, artificial intelligence, sensors and actuators, bio-nanomaterials, and medicinal chemistry.",institutionString:"Angadi Institute of Technology and Management",institution:null},{id:"284317",title:"Prof.",name:"Kantharaju",middleName:null,surname:"Kamanna",slug:"kantharaju-kamanna",fullName:"Kantharaju Kamanna",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/284317/images/21050_n.jpg",biography:"Prof. K. Kantharaju has received Bachelor of science (PCM), master of science (Organic Chemistry) and Doctor of Philosophy in Chemistry from Bangalore University. He worked as a Executive Research & Development @ Cadila Pharmaceuticals Ltd, Ahmedabad. He received DBT-postdoc fellow @ Molecular Biophysics Unit, Indian Institute of Science, Bangalore under the supervision of Prof. P. Balaram, later he moved to NIH-postdoc researcher at Drexel University College of Medicine, Philadelphia, USA, after his return from postdoc joined NITK-Surthakal as a Adhoc faculty at department of chemistry. Since from August 2013 working as a Associate Professor, and in 2016 promoted to Profeesor in the School of Basic Sciences: Department of Chemistry and having 20 years of teaching and research experiences.",institutionString:null,institution:{name:"Rani Channamma University, Belagavi",country:{name:"India"}}},{id:"158492",title:"Prof.",name:"Yusuf",middleName:null,surname:"Tutar",slug:"yusuf-tutar",fullName:"Yusuf Tutar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/158492/images/system/158492.jpeg",biography:"Prof. Dr. Yusuf Tutar conducts his research at the Hamidiye Faculty of Pharmacy, Department of Basic Pharmaceutical Sciences, Division of Biochemistry, University of Health Sciences, Turkey. He is also a faculty member in the Molecular Oncology Program. He obtained his MSc and Ph.D. at Oregon State University and Texas Tech University, respectively. He pursued his postdoctoral studies at Rutgers University Medical School and the National Institutes of Health (NIH/NIDDK), USA. His research focuses on biochemistry, biophysics, genetics, molecular biology, and molecular medicine with specialization in the fields of drug design, protein structure-function, protein folding, prions, microRNA, pseudogenes, molecular cancer, epigenetics, metabolites, proteomics, genomics, protein expression, and characterization by spectroscopic and calorimetric methods.",institutionString:"University of Health Sciences",institution:null},{id:"180528",title:"Dr.",name:"Hiroyuki",middleName:null,surname:"Kagechika",slug:"hiroyuki-kagechika",fullName:"Hiroyuki Kagechika",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/180528/images/system/180528.jpg",biography:"Hiroyuki Kagechika received his bachelor’s degree and Ph.D. in Pharmaceutical Sciences from the University of Tokyo, Japan, where he served as an associate professor until 2004. He is currently a professor at the Institute of Biomaterials and Bioengineering (IBB), Tokyo Medical and Dental University (TMDU). From 2010 to 2012, he was the dean of the Graduate School of Biomedical Science. Since 2012, he has served as the vice dean of the Graduate School of Medical and Dental Sciences. He has been the director of the IBB since 2020. Dr. Kagechika’s major research interests are the medicinal chemistry of retinoids, vitamins D/K, and nuclear receptors. He has developed various compounds including a drug for acute promyelocytic leukemia.",institutionString:"Tokyo Medical and Dental University",institution:{name:"Tokyo Medical and Dental University",country:{name:"Japan"}}},{id:"94311",title:"Prof.",name:"Martins",middleName:"Ochubiojo",surname:"Ochubiojo Emeje",slug:"martins-ochubiojo-emeje",fullName:"Martins Ochubiojo Emeje",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94311/images/system/94311.jpeg",biography:"Martins Emeje obtained a BPharm with distinction from Ahmadu Bello University, Nigeria, and an MPharm and Ph.D. from the University of Nigeria (UNN), where he received the best Ph.D. award and was enlisted as UNN’s “Face of Research.” He established the first nanomedicine center in Nigeria and was the pioneer head of the intellectual property and technology transfer as well as the technology innovation and support center. Prof. Emeje’s several international fellowships include the prestigious Raman fellowship. He has published more than 150 articles and patents. He is also the head of R&D at NIPRD and holds a visiting professor position at Nnamdi Azikiwe University, Nigeria. He has a postgraduate certificate in Project Management from Walden University, Minnesota, as well as a professional teaching certificate and a World Bank certification in Public Procurement. 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He received his post-doctoral training in oncology and cancer proteomics for two years at the Cancer Research Institute of Human Medical University in China. In 2001, he went to the University of Tennessee Health Science Center (UTHSC) in USA, where he was a post-doctoral researcher and focused on mass spectrometry and cancer proteomics. Then, he was appointed as an Assistant Professor of Neurology, UTHSC in 2005. He moved to the Cleveland Clinic in USA as a Project Scientist/Staff in 2006 where he focused on the studies of eye disease proteomics and biomarkers. He returned to UTHSC as an Assistant Professor of Neurology in the end of 2007, engaging in proteomics and biomarker studies of lung diseases and brain tumors, and initiating the studies of predictive, preventive, and personalized medicine (PPPM) in cancer. In 2010, he was promoted to Associate Professor of Neurology, UTHSC. Currently, he is a Professor at Xiangya Hospital of Central South University in China, Fellow of Royal Society of Medicine (FRSM), the European EPMA National Representative in China, Regular Member of American Association for the Advancement of Science (AAAS), European Cooperation of Science and Technology (e-COST) grant evaluator, Associate Editors of BMC Genomics, BMC Medical Genomics, EPMA Journal, and Frontiers in Endocrinology, Executive Editor-in-Chief of Med One. He has\npublished 116 peer-reviewed research articles, 16 book chapters, 2 books, and 2 US patents. His current main research interest focuses on the studies of cancer proteomics and biomarkers, and the use of modern omics techniques and systems biology for PPPM in cancer, and on the development and use of 2DE-LC/MS for the large-scale study of human proteoforms.",institutionString:null,institution:{name:"Xiangya Hospital Central South University",country:{name:"China"}}},{id:"40482",title:null,name:"Rizwan",middleName:null,surname:"Ahmad",slug:"rizwan-ahmad",fullName:"Rizwan Ahmad",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/40482/images/system/40482.jpeg",biography:"Dr. Rizwan Ahmad is a University Professor and Coordinator, Quality and Development, College of Medicine, Imam Abdulrahman bin Faisal University, Saudi Arabia. Previously, he was Associate Professor of Human Function, Oman Medical College, Oman, and SBS University, Dehradun. Dr. Ahmad completed his education at Aligarh Muslim University, Aligarh. He has published several articles in peer-reviewed journals, chapters, and edited books. His area of specialization is free radical biochemistry and autoimmune diseases.",institutionString:"Imam Abdulrahman Bin Faisal University",institution:{name:"Imam Abdulrahman Bin Faisal University",country:{name:"Saudi Arabia"}}},{id:"41865",title:"Prof.",name:"Farid A.",middleName:null,surname:"Badria",slug:"farid-a.-badria",fullName:"Farid A. Badria",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/41865/images/system/41865.jpg",biography:"Farid A. Badria, Ph.D., is the recipient of several awards, including The World Academy of Sciences (TWAS) Prize for Public Understanding of Science; the World Intellectual Property Organization (WIPO) Gold Medal for best invention; Outstanding Arab Scholar, Kuwait; and the Khwarizmi International Award, Iran. He has 250 publications, 12 books, 20 patents, and several marketed pharmaceutical products to his credit. He continues to lead research projects on developing new therapies for liver, skin disorders, and cancer. Dr. Badria was listed among the world’s top 2% of scientists in medicinal and biomolecular chemistry in 2019 and 2020. He is a member of the Arab Development Fund, Kuwait; International Cell Research Organization–United Nations Educational, Scientific and Cultural Organization (ICRO–UNESCO), Chile; and UNESCO Biotechnology France",institutionString:"Mansoura University",institution:{name:"Mansoura University",country:{name:"Egypt"}}},{id:"329385",title:"Dr.",name:"Rajesh K.",middleName:"Kumar",surname:"Singh",slug:"rajesh-k.-singh",fullName:"Rajesh K. Singh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/329385/images/system/329385.png",biography:"Dr. Singh received a BPharm (2003) and MPharm (2005) from Panjab University, Chandigarh, India, and a Ph.D. (2013) from Punjab Technical University (PTU), Jalandhar, India. He has more than sixteen years of teaching experience and has supervised numerous postgraduate and Ph.D. students. He has to his credit more than seventy papers in SCI- and SCOPUS-indexed journals, fifty-five conference proceedings, four books, six Best Paper Awards, and five projects from different government agencies. He is currently an editorial board member of eight international journals and a reviewer for more than fifty scientific journals. He received Top Reviewer and Excellent Peer Reviewer Awards from Publons in 2016 and 2017, respectively. He is also on the panel of The International Reviewer for reviewing research proposals for grants from the Royal Society. He also serves as a Publons Academy mentor and Bentham brand ambassador.",institutionString:"Punjab Technical University",institution:{name:"Punjab Technical University",country:{name:"India"}}},{id:"142388",title:"Dr.",name:"Thiago",middleName:"Gomes",surname:"Gomes Heck",slug:"thiago-gomes-heck",fullName:"Thiago Gomes Heck",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/142388/images/7259_n.jpg",biography:null,institutionString:null,institution:{name:"Universidade Regional do Noroeste do Estado do Rio Grande do Sul",country:{name:"Brazil"}}},{id:"336273",title:"Assistant Prof.",name:"Janja",middleName:null,surname:"Zupan",slug:"janja-zupan",fullName:"Janja Zupan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/336273/images/14853_n.jpeg",biography:"Janja Zupan graduated in 2005 at the Department of Clinical Biochemistry (superviser prof. dr. Janja Marc) in the field of genetics of osteoporosis. Since November 2009 she is working as a Teaching Assistant at the Faculty of Pharmacy, Department of Clinical Biochemistry. In 2011 she completed part of her research and PhD work at Institute of Genetics and Molecular Medicine, University of Edinburgh. She finished her PhD entitled The influence of the proinflammatory cytokines on the RANK/RANKL/OPG in bone tissue of osteoporotic and osteoarthritic patients in 2012. From 2014-2016 she worked at the Institute of Biomedical Sciences, University of Aberdeen as a postdoctoral research fellow on UK Arthritis research project where she gained knowledge in mesenchymal stem cells and regenerative medicine. She returned back to University of Ljubljana, Faculty of Pharmacy in 2016. She is currently leading project entitled Mesenchymal stem cells-the keepers of tissue endogenous regenerative capacity facing up to aging of the musculoskeletal system funded by Slovenian Research Agency.",institutionString:null,institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"357453",title:"Dr.",name:"Radheshyam",middleName:null,surname:"Maurya",slug:"radheshyam-maurya",fullName:"Radheshyam Maurya",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/357453/images/16535_n.jpg",biography:null,institutionString:null,institution:{name:"University of Hyderabad",country:{name:"India"}}},{id:"418340",title:"Dr.",name:"Jyotirmoi",middleName:null,surname:"Aich",slug:"jyotirmoi-aich",fullName:"Jyotirmoi Aich",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000038Ugi5QAC/Profile_Picture_2022-04-15T07:48:28.png",biography:"Biotechnologist with 15 years of research including 6 years of teaching experience. Demonstrated record of scientific achievements through consistent publication record (H index = 13, with 874 citations) in high impact journals such as Nature Communications, Oncotarget, Annals of Oncology, PNAS, and AJRCCM, etc. Strong research professional with a post-doctorate from ACTREC where I gained experimental oncology experience in clinical settings and a doctorate from IGIB where I gained expertise in asthma pathophysiology. A well-trained biotechnologist with diverse experience on the bench across different research themes ranging from asthma to cancer and other infectious diseases. An individual with a strong commitment and innovative mindset. Have the ability to work on diverse projects such as regenerative and molecular medicine with an overall mindset of improving healthcare.",institutionString:"DY Patil Deemed to Be University",institution:null},{id:"349288",title:"Prof.",name:"Soumya",middleName:null,surname:"Basu",slug:"soumya-basu",fullName:"Soumya Basu",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035QxIDQA0/Profile_Picture_2022-04-15T07:47:01.jpg",biography:"Soumya Basu, Ph.D., is currently working as an Associate Professor at Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India. With 16+ years of trans-disciplinary research experience in Drug Design, development, and pre-clinical validation; 20+ research article publications in journals of repute, 9+ years of teaching experience, trained with cross-disciplinary education, Dr. Basu is a life-long learner and always thrives for new challenges.\r\nHer research area is the design and synthesis of small molecule partial agonists of PPAR-γ in lung cancer. She is also using artificial intelligence and deep learning methods to understand the exosomal miRNA’s role in cancer metastasis. Dr. Basu is the recipient of many awards including the Early Career Research Award from the Department of Science and Technology, Govt. of India. She is a reviewer of many journals like Molecular Biology Reports, Frontiers in Oncology, RSC Advances, PLOS ONE, Journal of Biomolecular Structure & Dynamics, Journal of Molecular Graphics and Modelling, etc. She has edited and authored/co-authored 21 journal papers, 3 book chapters, and 15 abstracts. She is a Board of Studies member at her university. She is a life member of 'The Cytometry Society”-in India and 'All India Cell Biology Society”- in India.",institutionString:"Dr. D.Y. Patil Vidyapeeth, Pune",institution:{name:"Dr. D.Y. 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He pursued post-doctoral research at College of Pharmacy, Health Science Center, Texas A & M University and was involved in another postdoctoral research at Department of Translational Neurosciences and Neurotherapeutics, John Wayne Cancer Institute, Santa Monica, California. In 2015, he worked in Harvard-MIT Health Sciences & Technology as a visiting scientist. He has substantial experience in nanotechnology-based formulation development and successfully served various Indian organizations to develop pharmaceuticals and nutraceutical products. He is an inventor in many US patents and an author in many peer-reviewed articles, book chapters and books published in various media of international repute. Dr. Mukherjee is currently serving as Principal Scientist, R&D at Esperer Onco Nutrition (EON) Pvt. 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He is currently investigating the role of extracellular vesicles in premalignant lung cell migration and detecting the metastatic phenotype of lung cancer via machine-learning-based analyses of exosomal signatures. Dr. Paul has published in more than fifty peer-reviewed international journals and is highly cited. 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Graduated in Pharmacy, specialization in Cosmetology and Cosmeceuticals applied to aesthetics, specialization in Aesthetic and Cosmetic Health, and a doctorate in Pharmaceutical Nanotechnology. Teaching experience in Pharmacy and Aesthetics and Cosmetics courses. She works mainly on the following subjects: nanotechnology, cosmetology, pharmaceutical technology, aesthetics.",institutionString:"Universidade Federal de Juiz de Fora",institution:{name:"Universidade Federal de Juiz de Fora",country:{name:"Brazil"}}},{id:"219081",title:"Dr.",name:"Abdulsamed",middleName:null,surname:"Kükürt",slug:"abdulsamed-kukurt",fullName:"Abdulsamed Kükürt",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/219081/images/system/219081.png",biography:"Dr. Kükürt graduated from Uludağ University in Turkey. He started his academic career as a Research Assistant in the Department of Biochemistry at Kafkas University. In 2019, he completed his Ph.D. program in the Department of Biochemistry at the Institute of Health Sciences. He is currently working at the Department of Biochemistry, Kafkas University. He has 27 published research articles in academic journals, 11 book chapters, and 37 papers. He took part in 10 academic projects. He served as a reviewer for many articles. He still serves as a member of the review board in many academic journals. He is currently working on the protective activity of phenolic compounds in disorders associated with oxidative stress and inflammation.",institutionString:null,institution:{name:"Kafkas University",country:{name:"Turkey"}}},{id:"178366",title:"Dr.",name:"Volkan",middleName:null,surname:"Gelen",slug:"volkan-gelen",fullName:"Volkan Gelen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178366/images/system/178366.jpg",biography:"Volkan Gelen is a Physiology specialist who received his veterinary degree from Kafkas University in 2011. Between 2011-2015, he worked as an assistant at Atatürk University, Faculty of Veterinary Medicine, Department of Physiology. In 2016, he joined Kafkas University, Faculty of Veterinary Medicine, Department of Physiology as an assistant professor. Dr. Gelen has been engaged in various academic activities at Kafkas University since 2016. There he completed 5 projects and has 3 ongoing projects. He has 60 articles published in scientific journals and 20 poster presentations in scientific congresses. His research interests include physiology, endocrine system, cancer, diabetes, cardiovascular system diseases, and isolated organ bath system studies.",institutionString:"Kafkas University",institution:{name:"Kafkas University",country:{name:"Turkey"}}},{id:"418963",title:"Dr.",name:"Augustine Ododo",middleName:"Augustine",surname:"Osagie",slug:"augustine-ododo-osagie",fullName:"Augustine Ododo Osagie",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/418963/images/16900_n.jpg",biography:"Born into the family of Osagie, a prince of the Benin Kingdom. I am currently an academic in the Department of Medical Biochemistry, University of Benin. Part of the duties are to teach undergraduate students and conduct academic research.",institutionString:null,institution:{name:"University of Benin",country:{name:"Nigeria"}}},{id:"192992",title:"Prof.",name:"Shagufta",middleName:null,surname:"Perveen",slug:"shagufta-perveen",fullName:"Shagufta Perveen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/192992/images/system/192992.png",biography:"Prof. Shagufta Perveen is a Distinguish Professor in the Department of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia. Dr. Perveen has acted as the principal investigator of major research projects funded by the research unit of King Saud University. She has more than ninety original research papers in peer-reviewed journals of international repute to her credit. She is a fellow member of the Royal Society of Chemistry UK and the American Chemical Society of the United States.",institutionString:"King Saud University",institution:{name:"King Saud University",country:{name:"Saudi Arabia"}}},{id:"49848",title:"Dr.",name:"Wen-Long",middleName:null,surname:"Hu",slug:"wen-long-hu",fullName:"Wen-Long Hu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49848/images/system/49848.jpg",biography:"Wen-Long Hu is Chief of the Division of Acupuncture, Department of Chinese Medicine at Kaohsiung Chang Gung Memorial Hospital, as well as an adjunct associate professor at Fooyin University and Kaohsiung Medical University. Wen-Long is President of Taiwan Traditional Chinese Medicine Medical Association. He has 28 years of experience in clinical practice in laser acupuncture therapy and 34 years in acupuncture. He is an invited speaker for lectures and workshops in laser acupuncture at many symposiums held by medical associations. He owns the patent for herbal preparation and producing, and for the supercritical fluid-treated needle. Dr. Hu has published three books, 12 book chapters, and more than 30 papers in reputed journals, besides serving as an editorial board member of repute.",institutionString:"Kaohsiung Chang Gung Memorial Hospital",institution:{name:"Kaohsiung Chang Gung Memorial Hospital",country:{name:"Taiwan"}}},{id:"298472",title:"Prof.",name:"Andrey V.",middleName:null,surname:"Grechko",slug:"andrey-v.-grechko",fullName:"Andrey V. Grechko",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/298472/images/system/298472.png",biography:"Andrey Vyacheslavovich Grechko, Ph.D., Professor, is a Corresponding Member of the Russian Academy of Sciences. He graduated from the Semashko Moscow Medical Institute (Semashko National Research Institute of Public Health) with a degree in Medicine (1998), the Clinical Department of Dermatovenerology (2000), and received a second higher education in Psychology (2009). Professor A.V. Grechko held the position of Сhief Physician of the Central Clinical Hospital in Moscow. He worked as a professor at the faculty and was engaged in scientific research at the Medical University. Starting in 2013, he has been the initiator of the creation of the Federal Scientific and Clinical Center for Intensive Care and Rehabilitology, Moscow, Russian Federation, where he also serves as Director since 2015. He has many years of experience in research and teaching in various fields of medicine, is an author/co-author of more than 200 scientific publications, 13 patents, 15 medical books/chapters, including Chapter in Book «Metabolomics», IntechOpen, 2020 «Metabolomic Discovery of Microbiota Dysfunction as the Cause of Pathology».",institutionString:"Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology",institution:null},{id:"199461",title:"Prof.",name:"Natalia V.",middleName:null,surname:"Beloborodova",slug:"natalia-v.-beloborodova",fullName:"Natalia V. Beloborodova",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/199461/images/system/199461.jpg",biography:'Natalia Vladimirovna Beloborodova was educated at the Pirogov Russian National Research Medical University, with a degree in pediatrics in 1980, a Ph.D. in 1987, and a specialization in Clinical Microbiology from First Moscow State Medical University in 2004. She has been a Professor since 1996. Currently, she is the Head of the Laboratory of Metabolism, a division of the Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russian Federation. N.V. Beloborodova has many years of clinical experience in the field of intensive care and surgery. She studies infectious complications and sepsis. She initiated a series of interdisciplinary clinical and experimental studies based on the concept of integrating human metabolism and its microbiota. Her scientific achievements are widely known: she is the recipient of the Marie E. Coates Award \\"Best lecturer-scientist\\" Gustafsson Fund, Karolinska Institutes, Stockholm, Sweden, and the International Sepsis Forum Award, Pasteur Institute, Paris, France (2014), etc. Professor N.V. Beloborodova wrote 210 papers, five books, 10 chapters and has edited four books.',institutionString:"Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology",institution:null},{id:"354260",title:"Ph.D.",name:"Tércio Elyan",middleName:"Azevedo",surname:"Azevedo Martins",slug:"tercio-elyan-azevedo-martins",fullName:"Tércio Elyan Azevedo Martins",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/354260/images/16241_n.jpg",biography:"Graduated in Pharmacy from the Federal University of Ceará with the modality in Industrial Pharmacy, Specialist in Production and Control of Medicines from the University of São Paulo (USP), Master in Pharmaceuticals and Medicines from the University of São Paulo (USP) and Doctor of Science in the program of Pharmaceuticals and Medicines by the University of São Paulo. Professor at Universidade Paulista (UNIP) in the areas of chemistry, cosmetology and trichology. Assistant Coordinator of the Higher Course in Aesthetic and Cosmetic Technology at Universidade Paulista Campus Chácara Santo Antônio. Experience in the Pharmacy area, with emphasis on Pharmacotechnics, Pharmaceutical Technology, Research and Development of Cosmetics, acting mainly on topics such as cosmetology, antioxidant activity, aesthetics, photoprotection, cyclodextrin and thermal analysis.",institutionString:null,institution:{name:"University of Sao Paulo",country:{name:"Brazil"}}},{id:"334285",title:"Ph.D. Student",name:"Sameer",middleName:"Kumar",surname:"Jagirdar",slug:"sameer-jagirdar",fullName:"Sameer Jagirdar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/334285/images/14691_n.jpg",biography:"I\\'m a graduate student at the center for biosystems science and engineering at the Indian Institute of Science, Bangalore, India. I am interested in studying host-pathogen interactions at the biomaterial interface.",institutionString:null,institution:{name:"Indian Institute of Science Bangalore",country:{name:"India"}}},{id:"329248",title:"Dr.",name:"Md. Faheem",middleName:null,surname:"Haider",slug:"md.-faheem-haider",fullName:"Md. Faheem Haider",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/329248/images/system/329248.jpg",biography:"Dr. Md. Faheem Haider completed his BPharm in 2012 at Integral University, Lucknow, India. In 2014, he completed his MPharm with specialization in Pharmaceutics at Babasaheb Bhimrao Ambedkar University, Lucknow, India. He received his Ph.D. degree from Jamia Hamdard University, New Delhi, India, in 2018. He was selected for the GPAT six times and his best All India Rank was 34. Currently, he is an assistant professor at Integral University. Previously he was an assistant professor at IIMT University, Meerut, India. He has experience teaching DPharm, Pharm.D, BPharm, and MPharm students. He has more than five publications in reputed journals to his credit. Dr. Faheem’s research area is the development and characterization of nanoformulation for the delivery of drugs to various organs.",institutionString:"Integral University",institution:{name:"Integral University",country:{name:"India"}}},{id:"329795",title:"Dr.",name:"Mohd Aftab",middleName:"Aftab",surname:"Siddiqui",slug:"mohd-aftab-siddiqui",fullName:"Mohd Aftab Siddiqui",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/329795/images/system/329795.png",biography:"Dr. Mohd Aftab Siddiqui is an assistant professor in the Faculty of Pharmacy, Integral University, Lucknow, India, where he obtained a Ph.D. in Pharmacology in 2020. He also obtained a BPharm and MPharm from the same university in 2013 and 2015, respectively. His area of research is the pharmacological screening of herbal drugs/natural products in liver cancer and cardiac diseases. He is a member of many professional bodies and has guided many MPharm and PharmD research projects. Dr. Siddiqui has many national and international publications and one German patent to his credit.",institutionString:"Integral University",institution:null}]}},subseries:{item:{id:"15",type:"subseries",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11411,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. 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He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. 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