Decision-Making Grid (Labib, 1998b)
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"intechopen-supports-asapbio-s-new-initiative-publish-your-reviews-20220729",title:"IntechOpen Supports ASAPbio’s New Initiative Publish Your Reviews"},{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"}]},book:{item:{type:"book",id:"889",leadTitle:null,fullTitle:"Robotic Systems - Applications, Control and Programming",title:"Robotic Systems",subtitle:"Applications, Control and Programming",reviewType:"peer-reviewed",abstract:"This book brings together some of the latest research in robot applications, control, modeling, sensors and algorithms. 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From 1994 to 2000 he was with the Bhabha Atomic Research Center (India) where he worked on telemanipulator design and control for nuclear applications. Since 2002 he has been working with the department of mechanical engineering in the Indian Institute of Technology Kanpur, in addition to working as an assistant professor in Nagoya University, Japan from 2006 to 2007 in the department of Mechanical Science and Engineering. 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SMI contributes in generating employment and engage in small and medium-scale manufacturing lines to generate profit and employment.
\n\t\t\tIn fact, the largest portion of manufacturing firms fall into SMI categories and the SMI businesses are the backbone of the large-scale industry (Shamsuddin et al. (2004)). However, Junaidah (2007) reported that SMIs lacking appropriate decision making. According to her, SMI do not have a good system to evaluate the overall system of machines, contractors performance and their business\'s principles. Therefore, maintenance decision support system (DSS) is essential to ensure maintainability and reliability of equipments in industries. Poor machinery maintenance management will result in capacity loss, poor product quality and customer dissatisfaction. These downturns usually occur depending on the efficiency of the reliability programs executed by the organization.
\n\t\t\tThis chapter reveals on the important DSS models i.e. Decision Making Grid (DMG) to be embedded with computerized maintenance management system (CMMS) to aid maintenance strategies for the machines as an adoption of technology management in SMI. Next this chapter demonstrates on how DMG model can be used as a decision support module in Failure-based Maintenance (FBM).
\n\t\t\n\t\t\t\tShamsuddin et al. (2004) conducted a survey to study FBM issues faced by SMI. They have listed issues related to equipment maintenance, as follows:
\n\t\t\tLack of human resources, both in terms of number and skill or expertise;
Emphasis on short-term gains and lack of long-term plans;
Lack of state-of-the-art modern technology;
Lack of understanding about the role of technology;
Insufficient funding for machinery investment;
Lack of time to think, and reengineering is expensive;
Operators have poor technical knowledge about the machine they are operating;
Poor participation from non-manufacturing units such as administration, marketing, and purchasing i.e. looking at the system from the point of sub optimization, which is contrary to Total Productive Maintenance or Total Quality Maintenance practices;
Overall low level equipment effectiveness evaluation, especially on availability, performance rates, and quality rates; and
Slow response of the contractors on maintenance work.
\n\t\t\t\tSaleh and Ndubisi (2006) highlighted that SMI lack a comprehensive framework to be used in solving critical issues. Later, Kittipong (2008) conducted more comprehensive studies on technology relationships in SMI. He conducted the surveys and identified 20 factors of technology relationship and innovations. He conducted hypotheses and concluded that technology expertise is the first priority for SMI success in the area of manufacturing. SMI should start to look at the technology escalation procedure and manage their vendors or contractors efficiently. He has suggested a further research direction for factorial and decisional analyses using longitudinal data in his thesis. This motivates this study to aid maintenance decision-making in FBM for SMI.
\n\t\tThe primary functions of most machines in industries are concerned, in some way, with the need to earn revenue or to support revenue earning activities. Poor machinery maintenance will lead to more emergency breakdowns. The breakdowns affect the production capability of physical assets by reducing output, increasing operational costs, and, thus, interfering with customer services. Machinery failures in SMI production lines will increase the operation cost and reduce their profit margin.
\n\t\t\tln brief, the effects of downtime are much greater than the cost of repairing the failures. For example, if a filling machine fails in a SMI production line, the end products will spill over. This also results in labour safety issues as well as business losses.
\n\t\tIt has been a long journey for the evolution of maintenance management models and techniques from 1940 until now. Maintenance is a wide area, and involves planning, coordinating, controlling, supervising and managing activities in order to achieve the organization’s purposes and goals. Palmer (1999) defines maintenance management as control that must be taken to keep the equipment in its working state, by preserving it from any failures. The goals of the maintenance study are to reduce downtime and cost, while improving the adequacy and quality of service to maximize the availability of equipment in an operative state. There are many literatures available from various researchers and practitioners in the field of maintenance management.
\n\t\t\tIn general, Burhanuddin (2009) narrowed down maintenance literature into four main-classes, sub-classes and sub-divisions, as shown in Figure 1.
\n\t\t\tSome observations of the study in each of the above four main-classes in maintenance management and their fractions are presented in detail as follows.
\n\t\t\tAbbreviation represent: CMMS: Computerized Maintenance Management System; DSS: Decision Support System; RCM: Reliability-centred Maintenance; KPI: Key Performance Index; TPM: Total Productive Maintenance; FBM: Failure-based Maintenance; RBM: Risk-based Maintenance; CBM: Condition-based Maintenance; TQM: Total Quality Maintenance; PM: Preventive Maintenance; VBM: Vibration-based Maintenance; MILP: Mixed Integer Linear Programming; MInLP: Mixed Integer non-Linear Programming; AI: Artificial Intelligence; DSM: Decision Support Model; MCDM: Multiple Criteria Decision-Making; DMG: Decision-Making Grid; and AHP: Analytical Hierarchical ProcessSub-division Tree of Maintenance Management
\n\t\t\t\t\tGuy and Steve (1999) reviewed the general terms of maintenance. They studied maintenance development and the reason behind it changing from time to time. After that, they focused on the enhancement and evolution of information systems in maintenance.Some important findings on enhancement of the development of information systems in maintenance are given, as they have discovered that new strategic development in maintenance is due to information system application and development.
\n\t\t\t\t\n\t\t\t\t\tLam and Lin (2004) integrated some replacement policies into corrective maintenance. Corrective or Failure-based Maintenance (FBM) is unscheduled maintenance or repair to return the machine to a defined state. There are no interventions until a failure has occurred. Lewis (1999) addressed corrective maintenance as reactive maintenance, where any emergency breakdown will lead to a bigger impact on the operation. Since the failures are unplanned, they might result in a big loss to the organization in terms of cost and time. Therefore, a better maintenance concept must be introduced to prevent this unplanned downtime and reduce the cost of the failure. The breakdown maintenance concept is still applied to equipment that is not mission critical and where the downtime would not affect the main operation of the organization, such as light bulbs and consumable parts. Lam and Lin (2004) have introduced some numerical methods and designed optimal replacement policies in FBM.
\n\t\t\t\tAccording to Palmer (1999), if the plant spends a lot of time on breakdown maintenance, then it does not spend enough time on preventive maintenance. Thus, predictive maintenance is introduced to resolve deficiencies with scheduled downtime. Predictive maintenance involves monitoring certain conditions or variables associated with the equipment (Bentley, 1993). The simplest method of condition-based monitoring involves the four human senses of sight, sound, touch and smell to predict a failure. Repairing activities take place when the condition shows that a failure may be imminent.
\n\t\t\t\tUnlike the Condition-based Maintenance (CBM) policy, in predictive maintenance the acquired controlled parameters data are analyzed to find a possible temporal trend. This makes it possible to predict when the controlled quantity value will reach or exceed the threshold values. The maintenance staffs will then be able to plan when, depending on the operating conditions, the component substitution or revision is really unavoidable. The following main activities can help to avoid machine breakdown (Bentley, 1993):
\n\t\t\t\tFault detection,
Fault isolation,
Fault elimination, and
Verification.
The same was demonstrated by Geert and Liliane (2004), who distinguished five basic maintenance policies in corrective and preventive maintenance. Preventive maintenance is carried out using a planned, periodic and specific schedule to keep a machine in a stated working condition, throughout the process of checking and reconditioning. Preventive maintenance is defined as the pre-breakdown model performed on equipment to either eliminate or reduce the emergency failures within pre-determined economic limits (Lewis, 1999). The model has been introduced to enhance reliability and confidence of the machine in advance. This maintenance is categorized as proactive maintenance. The service is repeated at a pre-determined frequency to avoid any unplanned breakdown of the machine. Bentley (1993) divides the preventive maintenance (PM) model into CBM with two main categories, as follows:
\n\t\t\t\tMonitored PM, which involves monitoring when the machine is in operation. Triggers on any potential failure will be detected. Repair activities are to be conducted before any unplanned breakdown; and
Scheduled maintenance, where the service is being conducted on the same machine at specific counter or time intervals. The maintenance crew always follows the standard checklist to conduct PM activities, which involves scheduled replacement of parts, service, alignment, greasing, lubrication, confidence testing, etc.
\n\t\t\t\t\tGeert and Liliane (2004) distinguished five basic policies in maintenance, as follows:
\n\t\t\t\tFailure-based Maintenance (FBM);
Use-based Maintenance (UBM);
Condition-based Maintenance (CBM);
Detection-based Maintenance (DBM); and
Design-out Maintenance (DOM).
They have suggested seven steps to follow in a modular framework on maintenance policies, before building any maintenance policies, as follows:
\n\t\t\t\tIdentification of the objectives and resources,
Selection of the most important maintenance systems,
Identification of the most critical machines and their components,
Maintenance policy selection,
Optimization of the maintenance policy parameters,
Implementation and evaluation, and
Feedback.
Later, Geert and Liliane (2007) discovered more findings. They have designed concrete policies and developed a framework to set up an industrial management centre. There is a group of people in the centre to control all maintenance work and escalate the work to the respective site. Their model can be used to develop a customized maintenance concept that is suitable for multinational companies.
\n\t\t\t\tSince centralized maintenance control in a centre requires more people, Dhillon and Liu (2006) presented the impact of human errors on maintenance. They conducted a literature survey of human errors in maintenance and their impact on the manufacturing plant. They reported that human errors will reduce production profit. Imad (2007) highlighted the role of maintenance as a profit-generating functionality, by introducing a maintenance quality concept in the manufacturing system. He has intimated the relationship between a manufacturing system’s capacity and the total manufacturing costs per unit of quality item, in order to describe and illustrate how maintenance generates profit to the company.Finally, Imad (2007) proved that maintenance is not a cost centre, but a profit-generating centre in the manufacturing sectors. Attempting to fulfil maintenance as a profit-making centre, Alexandre et al. (2008) introduced the excellent-maintenance concept of doing more work with fewer people and less money. They stressed this new generation maintenance concept, which includes:
\n\t\t\t\tRemote maintenance: By leveraging information, wireless and internet technologies, users may log in from anywhere and with any kind of device as soon as they get an internet connection. The maintenance operation team can connect remotely to the equipment in the factory, then run setup, control, configure, diagnose, debug, fix, monitor performance, or download data for analysis;
Cooperative or collaborative maintenance: Excellent-maintenance symbolizes the opportunity to implement an information infrastructure connecting geographically dispersed subsystems;
Immediate or on-line maintenance: The real-time remote monitoring of equipment status, coupled with programmable alerts, enables the maintenance operator to respond whenever any breakdown occurs. In addition, high-rate communications allow them to quickly obtain several kinds of expertise and to accelerate the feedback reaction in the local loop, connecting the product, monitoring agent and maintenance support system together. It has almost unlimited potential to reduce the complexity of traditional maintenance guidance through on-line guidance, based on the results of decision-making and analysis of product condition;
Fault diagnosis or localization: Excellent-maintenance offers experts the ability to perform on-line fault diagnosis, share their valuable experiences with each other, and suggest remedies to the operators if an anomalous condition occurs in the inspected machine. In addition, lock-outs and isolation can be performed and recorded on location. Consequently, the amount of time it takes to communicate a production problem to the potential expert solution provider can be reduced, the quality of the information shared can be improved, and thereby the resolution time reduced. All these factors increase the availability of production and facilities equipment, reduce the mean time taken to repair, and significantly utilize field service resources and costs;
Repair or rebuilding: Remote operators could, via an electronic connection, tap into specialized expertise rapidly without any travelling or scheduling delays. Downtimes could be conceivably reduced through direct troubleshooting with source designers and engineers. In addition, diagnosis, maintenance work performed, and parts replaced are documented on the spot, through structured responses to work steps displayed on the mobile workstation; and
Modification or improvement: The multi-source knowledge and data environment provided by excellent-maintenance allows efficient information sharing. With the availability of tools for interacting, handling, and analysing information about product state, the development of maintenance engineering for product lifecycle support, including maintenance and retirement stages such as disassembly, recycling, reuse and disposal, is becoming feasible.
The excellent-maintenance concept requires a good information technology system. There are very promising developments in information technology, which can help to improve maintenance practice. However, the information system development in maintenance is still relatively young in the business area, and its recent development is discussed in the next section.
\n\t\t\tThe information system is becoming an important tool for achieving efficiency and effectiveness within maintenance, provided that the correct and relevant information technology is applied. In fact, there are many papers on the maintenance information system and technologies, where they are always integrated with other disciplines such as inventory control, supply chain management and communication technology on the manufacturing shop floor. Here, four reviews are worth discussing under this sub-section. The first review is given by Labib (2004), who discusses the CMMS development to facilitate the management of maintenance resources, to monitor maintenance efficiency and to provide appropriately analysed management information for further consideration. Labib (2004) has suggested some benefits that CMMS can offer, as follows:
\n\t\t\t\tIt allows operators to report faults faster by filling-up the electronic-form. At the same time, it enables the maintenance team to respond to and update the form promptly;
It can facilitate improvements in communication between operators and maintenance personnel, and is influential in ameliorating the consistency of information flow between these two departments;
It offers insight into wear-and-tear in FBM activities;
It provides maintenance planners with the historical information necessary for developing next PM schedules; and
It can track the movement of spare parts and requisition replacements whenever necessary.
In the second review, O’Donoghue and Prendergast (2004) proved that CMMS is very beneficial. They examined the basis of various maintenance management strategies used to date in international manufacturing. They have demonstrated how CMMS is used to capture maintenance activities, and analysed maintenance time and cost in an Irish textile manufacturing company.
\n\t\t\t\tLately, rapid growth in computer technology has opened up new possibilities in CMMS development. This brings us to the third review, in which Mirka (2008) reported that CMMS provides tremendous benefit to maintenance. She identified salient characteristics of CMMS by showing that information technology investment has a positive correlation to company profitability and competitiveness. She also developed information technology tools based on a company’s factors of goal and purpose.
\n\t\t\t\tDespite providing significant characteristics of CMMS, which may fit in with the needs of the industries, Labib (2004) also discovered that the majority of available CMMS in the market lack decision support for management. Last but not least, the fourth crucial review, highlighted by Sherif et al. (2008). They managed to embed DSS into CMMS as an advanced software engineering approach. DSS constitutes a class of computer-based information systems, including knowledge-based systems that support decision-making activities. A computer program is written using available maintenance techniques to automate the analysis and results. The program is executed in sub-procedures in CMMS as a DSS module.
\n\t\t\t\t\n\t\t\t\t\tSherif et al. (2008) synthesized DSS with problem-solving in concrete bridge decks maintenance activities. They proposed different decisions for different types of repair, i.e. shallow repair, deep repair, protective repair, non-protective repair, and deck replacement. All decision-makers must consider the cost of repair when making any recommendation. Sherif et al. (2008) also deliberated on how DSS is used to model human reasoning and the decision-making process for concrete bridge decks. At the end of the study, they concluded that buying sophisticated hardware or software is not the complete answer. However, justification on middleware software, and an object-oriented system by integrating some maintenance techniques into the DSS, is another potential area to consider. There are various available techniques in maintenance that can be programmed into CMMS and can measure maintenance activities. The techniques are elaborated on in the next section.
\n\t\t\tDSS gathers and presents data from a wide range of sources in a way that can be interpreted by humans. Important features of DSS are given as follows (Williams and Sawyer, 2006):
\n\t\t\t\tlnputs and outputs;
Assist tactical-level managers in making tactical decisions; and
Produce analytical models, such as mathematical representation of a real system.
A quantitative approach in the DSS model allows maintenance manager to play a simulation what-if game to reach decisions. They can simulate certain aspect of the organization\'s environment in order to decide how to react to a change in the conditions affecting it. By changing the hypothetical inputs to the maximum and minimum levels, the managers can see how the model\'s outputs are affected. There are four aspects to maintenance optimization models, as follows (Amik and Deshmukh (2006)):
\n\t\t\t\tDescription of a technical system, its function and importance;
Modeling of the deterioration of the system in time and possible consequences for this system,
Description of the available information about the system and action open to management and
Objective function and an optimization technique, which helps in finding the best practice.
An efficient DSS for SMI should have some real time data analysis capabilities, and be able to query from the database, perform the calculation and provide decisions such as:
\n\t\t\t\tWhich machines should go for FBM, fixed time maintenance, design-out maintenance, condition-based maintenance, preventive maintenance, etc.
When the next maintenance is due for every machine;
Which contractor should be called to perform the maintenance work;
Estimates of man-hours required;
Description of the tasks involved and how much time is required;
Lists of all required replacement parts and their locations;
Forecast on the spare parts, tools and their costs;
Re-order level of the machine parts and other accessories; and
An estimate of the maintenance priorities and their impact.
The most prominent objective of the various techniques in maintenance DSS is to supply vital data and evidence, to derive better strategies to minimize machine downtime and maintenance cost. DMG is one of the famous techniques in DSS as suggested as follows.
\n\t\t\tThe maintenance Decision-Making Grid (DMG), introduced by Labib (1998) acts as a map where the performances of the worst machines are placed based on multiple criterions, i.e. frequency of failures and downtime. The results provide guidelines for the action, which will lead to the movement of machines towards an improvement of the maintenance strategies with respect to multiple criterions. Labib (2004) defined the main input from the failures for DMG analysis as follows:
\n\t\t\tThe response time;
The diagnostic time;
The repair time; and
Frequency of failures.
Based on the input, machines are mapped into a two-dimensional matrix and appropriate maintenance strategies will then be implemented, such as total productive maintenance, reliability-centred maintenance, design-out maintenance, condition-based maintenance, fixed-time maintenance, etc.
\n\t\t\tThere are many researchers who have studied the DMG and apply it in the equipment management area. Among those, there are three selected reviews that are worth discussing under this sub-section. In the first Labib (1998a) has introduced the DMG model to help maintenance management identify breakdown maintenance strategies. In short DMG is a control chart in two dimensional matrix forms. The columns of the matrix show the three criterions of the downtime, whilst the rows of the matrix show another three criterions of the frequency of the failures. The model consists of these three steps:
\n\t\t\tCriteria analysis;
Decision mapping and
Decision support.
Here, a better maintenance model for quality management can be formed by handling both the rows and columns of the matrix respectively. The matrix offers an opportunity to decide what maintenance strategies are needed for decision-making such as to practice Operate to Failure (OTF), Fixed Time Maintenance (FTM), Service Level Upgrade (SLU), Condition-based Maintenance (CBM), Designed-out Maintenance (DOM), Total Productive Maintenance (TPM) and Reliability-centered Maintenance (RCM).
\n\t\t\tThe second important review was undertaken by Fernandez et al. (2003), in which implementation of DMG in CMMS was discussed in detail. They extended the theory of the maintenance maturity grid and implemented it into a disk brake pad manufacturing company in England. The results can provide maintenance policies in the respective functional group in production lines, to achieve their common goal to reduce downtime.
\n\t\t\tLater, Zulkifli et al. (2008), in the third review, comprehended the model and demonstrated the hybrid intelligent approach using the DMG and fuzzy rule-based techniques. In their study, the DMG is employed in small and medium food processing companies to identify their maintenance strategies. DMG is used in these study as the model is flexible, and considers OTF, FTM, SLU, CBM, DOM, TPM and RCM strategies in the same grid. The model is able to analyze multiple criteria and is the best choice when the number of machines is less than fifty (Pascual et al, 2009). It can be used to detect the top ten problematic machines on the production floor with several system conditions. This is with regards to failures such as fatigue, imbalance, misalignment loosened assemblies, and turbulence, which can occur in rotational or reciprocating parts such as bearings, gearboxes, shafts, pumps, motors and engines. Identifying the top ten problematic machines is in alignment with the 80-20 rule. The rule states that eighty percent of the problems arise from the same twenty percent of the root causes.
\n\t\t\tln another word, once twenty percent of the root cause had been fixed, then eighty percent of the problem is resolved. The application of the model can have a breakthrough performance, as it fulfils the purpose of the model to map machines into a certain grid in a matrix and suggests the appropriate maintenance strategies to comply with.
\n\t\t\tThere are many publications on CMMS and DMG applications in the area of maintenance. Among them, there are three journal papers that are most related to this study of the DMG model, written by Labib (1998b and 2009) and Fernandez et al. (2003). Labib (1998b) introduced DMG as a maintenance decision-making tool to be embedded in CMMS. Later, Fernandez et al. (2003) included DMG as a sub-module in their CMMS. They tested the model in one of the brake pad manufacturing companies in England. Next Zulkifli et at. (2010) integrated DMG with a fuzzy rule-based hybrid approach. The DMG model was formed as a control chart by itself in two-dimensional matrix forms. The columns of the matrix show the three criterions of the downtime, whilst the rows of the matrix show another the criterions of the frequency of the failure.
\n\t\t\t\tA better maintenance model for quality management can be formed by handling both the rows and columns of the matrix respectively. The matrix offers an opportunity to decide what maintenance strategies are needed for decision-making such as to practice OTF, FTM, SLU, CBM or DOM. The matrix also suggests maintenance concepts that are useful for each defined cell of the matrix such as TPM or RCM approaches. The results can provide maintenance policies in the respective functional group in production lines to achieve their common goal, to reduce downtime. There are two basic steps to follow in the DMG model as follows:
\n\t\t\t\tCriteria Analysis: Establish a pareto analysis of two important criteria:
\n\t\t\t\tDowntime, which is the main activity conducted by a maintenance crew; andFrequency of breakdown calls, which is always a concern for a customer service centre.
The objective of this phase is to assess how bad the worst performing machines are over a certain period of time. The machines, as regards each criterion are sorted and placed into a top ten list of high, medium, and low boundaries, which are divided into three categories using the tri-quadrant approach as follows (Burhanuddin (2009)). let x be the frequency of failures. Let k =\n\t\t\t\t\t\t\t\t
Similarly, let y be the downtime of the machines. Let l =\n\t\t\t\t\t\t
Using the above formulae, machines are mapped into a two-dimensional matrix based on their respective intervals on frequency of failures and downtime. Next, decision strategies for machines such as OTF, FTM, SLU, CBM, DOM, RCM or TPM can be implemented (Labib (1998b)).
\n\t\t\t\tDecision Mapping: Those machines that meet both criteria and are ranked in Step 1, are then mapped on the grid as shown in Table 1.
\n\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t||
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t|
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tOTF | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tFTM3 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
Decision-Making Grid (Labib, 1998b)
In this phase the decision is developed by comparing two-dimensional matrices. The objective of this exercise is to implement appropriate actions that will lead to the movement of machines towards improved machine maintenance strategies, complying with Labib (1998b) in respect of the multiple criterions as follows:
\n\t\t\t\tOperate to failure (OTF): Machines that are very seldom failed (low frequency). Once failed, the downtime is short (low downtime). The machines in this region are performing well and are easy to repair
Skill levels upgrade (SLU): Machines that always fail (high frequency), but can be fixed quickly (low downtime). Basically, the problems faced by the machines in this grid are relatively easy to fix. Upgrading operators\' skill levels in fixing the problem will help to reduce response time;
Condition-based maintenance (CBM): Machines that seldom fail (low frequency). However, this is a killer machine, as it takes a long time to bring it back to normal operation (high downtime). Machines in this region should be monitored closely. It is a good idea to equip the machines with sensors or any condition-based monitoring devices to observe their performance;
Design-out maintenance (DOM): Machines that always fail (high frequency). Once failed, it takes a long time to bring them back to normal operation (high downtime). This region consists of the worst production machines and it is recommended that they be structurally modified. A maintenance department should consider a major design-out project and spend money to upgrade the machines in this grid; and
Fixed time maintenance (FIM): There are five categories as follows:
\n\t\t\t\tFTMI: Concern about the timing of the maintenance. Maintenance department should revise when is the best time to conduct the preventive maintenance;
FTM2: Maintenance department should study who is the most suitable person to conduct the maintenance job for those machines in this grid, i.e. operator, technicians, contractors or maintenance engineers;
FTM3: Failure frequency and downtime are almost at the moderate cases,
FTM4: Maintenance department should revise on their maintenance checklist and instructions. What are the instructions that must be included during maintenance; and
FTM5: Maintenance department should revise on how the maintenance should be conducted and improved.
The TPM approach should be applied for the lower triangle of the DMG matrix, as shown in Table 2 (Labib, 1998b). TPM is applied globally and one of the TPM concepts is to empower the operators to maintain continuous production on totally efficient lines (Nakajima,1988). TPM is the continuous knowledge transfer to operators and the maintaining of the production equipment together with the maintenance crew. Hence, we can slowly reduce the waiting time for technicians to be in the production plant. On the other hand it gives operator the opportunity to eliminate the root causes of the machines\' errors on a small level, before they become big ones.
\n\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
DMG-TPM Strategy (Labib 1998b)
The RCM approach should be applied for the upper triangle of the matrix as shown in Table 3. RCM involved a study and measurement of the probability that a machine will operate as expected at the desired level, for a specific period of time, under the design operating conditions, and without any failures. Once the problematic machines are identified, the maintenance strategy should be adjusted to ensure the longest survival of the machine to complete a mission at a specific time (Elsayed, 1996). Strategies such as CBM or DOM are executed based on measurements and estimates.
\n\t\t\t\tOnce the top ten worst performing machines are identified from DMG, the appropriate action to identify the next focused action is implemented. In other word, maintenance staffs need to move from the strategic systems level to the operational component level.
\n\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
DMG-RCM Strategy (Labib, 1998b)
As a case study, the dataset from Fernandez et al. (2003) on the disk brake pad manufacturing company in England is used. Table 4 shows the level of the frequency of failures decision analysis using formulas in (1), (2) and (3).
\n\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t23 | \n\t\t\t\t\t\t\tHigh | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t19 | \n\t\t\t\t\t\t\tHigh | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t16 | \n\t\t\t\t\t\t\tMedium | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t16 | \n\t\t\t\t\t\t\tMedium | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t16 | \n\t\t\t\t\t\t\tMedium | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t16 | \n\t\t\t\t\t\t\tMedium | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t15 | \n\t\t\t\t\t\t\tLow | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t14 | \n\t\t\t\t\t\t\tLow | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t13 | \n\t\t\t\t\t\t\tLow | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t12 | \n\t\t\t\t\t\t\tLow | \n\t\t\t\t\t\t
Frequency of Failure Decision Analysis (Fernandez et al., 2003)
Decision analysis graph on frequency of failures is shown in Figure 2.Once intervals of the machine are categorized correctly using formulae (4), (5) and (6), the DMG matrix can be constructed as shown in Table 6. Next, a strategic decision is identified by mapping at DMG in Table 1, given by Labib (1998b). Then, a valid recommendation can be given to the SMI maintenance management team to implement maintenance strategy.
\n\t\t\t\tFrequency of Failure Decision Analysis (
\n\t\t\t\t\tTable 5 shows the level of decision analysis on downtime in hours, from Fernandez et al. (2003) data using formulas in (4), (5) and (6).
\n\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t64 | \n\t\t\t\t\t\t\tHigh | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t32 | \n\t\t\t\t\t\t\tHigh | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t29 | \n\t\t\t\t\t\t\tHigh | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t28 | \n\t\t\t\t\t\t\tLow | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t27 | \n\t\t\t\t\t\t\tLow | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t25 | \n\t\t\t\t\t\t\tLow | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t25 | \n\t\t\t\t\t\t\tLow | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t22 | \n\t\t\t\t\t\t\tLow | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t20 | \n\t\t\t\t\t\t\tLow | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t20 | \n\t\t\t\t\t\t\tLow | \n\t\t\t\t\t\t
Decision Analysis on Downtime (Fernandez et al., 2003)
Decision analysis graph on downtime is shown in Figure 3.
\n\t\t\t\tDecision Analysis on Downtime (
This chapter aim to improve maintenance strategies in FBM by extending some theoretical method introduced by Labib (1998b) and Burhanuddin (2009) in DMG model to provide maintenance strategies for SMI. The analysis provides insight by using collective approaches in two-dimensional matrices, and simultaneously measures multiple criterion of the downtime and frequency of failures.
\n\t\t\tMaintenance strategies are identified using the DMG model, based on important factors, including the machines\' downtimes and their frequency of failures. The machines are categorized into the downtime criterions and frequency of failures, which are high, medium and low using tri-quadrant formulae. The experimental studies are conducted using maintenance dataset given by Fernandez et al. (2003). The proposed models can be used by decision makers to identify maintenance strategies and enhance competitiveness among contractors in FBM. There have been very promising development in computer science, which can help SMI to monitor and compare maintenance activities.
\n\t\t\tThe analysis provides insight by using collative approaches in two-dimensional matrices, and simultaneously investigates three criterion of the downtime and frequency of failures. Tri-quadrant analysis is used to ascertain the model through the incorporation of multiple criterions of the decision-making analysis for SMI. The result of the analysis provides some decision-making strategies for machinery maintenance.
\n\t\t\tThis study focuses on DMG based on few factors respond time, diagnostic time, repair time and frequency of failures. More research on organization procedures and underlying characteristics of the machines, such as their model, age, made, price, etc., can lead to a more comprehensive study in FBM. The external factors such as economic, geographical and social aspects could be incorporated into the models.
\n\t\tThe authors would like to thank the management of Faculty of Information Technology and Communication, Universiti Teknikal Malaysia Melaka and Faculty of Computing and Information Technology Rabigh, King Abdulaziz University Rabigh for providing facilities and financial support.
\n\t\tNepal is an agrarian country and 60.4% of its population is dependent on agriculture and it contributes to 26.8% of national GDP [1, 2]. Commercialization of agriculture is needed to accelerate the economic growth in the country, which is largely subsistence type. Since Nepal has entered World Trade Organization (WTO) as a member country in 2004, it is necessary to exploit the globalized trade for the nation [3]. Most of the people who are engaged in agriculture are rural dwellings and they are the prime driver of the agriculture of the country, Nepal. However, the commercialization of agriculture demands high-value inputs, which are often associated with higher use of improved, and hybrid cultivars, machinery, fertilizers, pesticides, etc.
Pesticides are those chemical substances that are used to control pests of an agricultural and urban setting. These substances include fungicides, insecticides, rodenticides, herbicides, molluscicides, nematicides, miticides, avicides, etc. Insecticides are used for a very long time to deter, minimize, and manage insect pests in an agricultural field, forest land, and in human settlements. In agricultural crop production only, insects and other pests cause around 35% yield decline [4].
The role of insecticides to reduce the insect pests attack on various crops, damage to the health of humans and livestock is crucial. Due to the advantage of the rapid action of these chemicals over target organisms, these are widely being used all over the world. Nepal could not be an exception regarding the use of chemical insecticides. Insecticides encompass a broad range of chemicals that are toxic not only to insects but also to other organisms. These chemicals often lead to pesticide resistance, the resurgence of insect pests, and the decline of beneficial organisms, along with the detrimental impact on human health and the environment [5]. Unscientific use of pesticides is of major concern to the farmers of the developing countries and Nepal could not be the exception, which further exacerbates the situation.
Phytophagous insects only do the damage to grown crops, on average of 35–40%. Sometimes, it exceeds more than that based on the severity of the pest [6]. Commercial growers mainly depend on various insecticides to get rid of the various insect pests. But, the exact amount of import of these insecticides, their use, and the effect on human health and the environment is of major concern to Nepalese agriculture [7].
A rigorous and thorough study was done to collect and synthesize information on the topic of the review. Different research papers, review articles, reports, governmental websites, and their publications were studied and screened for data compilations. Gathered data were coded in the MS-Excel and subsequent tabulation and column graphs were generated.
The use of insecticides started in Nepal in early 1950s with intention of control of malaria, especially to eradicate the disease transmitted by mosquitoes for the Gandaki Hydropower Project [8]. First introduced chemicals to Nepal were Paris green, gramaxone, nicotine sulfates, Dichloro-diphenyl –trichloroethane (DDT), and these all were brought from the USA. These chemicals were followed by other organochlorines, organophosphates, carbamates, and synthetic pyrethroids [8, 9]. In the agricultural field, pesticides were started to use in the early sixties. This is the era of the green revolution where farmers were instructed to get maximum yield from a crop by using higher inputs such as improved seeds, chemical fertilizers, pesticides, etc. Until that period, farmers were unaware of the chemicals and insecticides to manage the various insect pests of agricultural crops. At the time, farmers have a preference over broad-spectrum pesticides due to the effective work to knock down the pests [10]. Nepal does not produce any insecticides till now but imported primarily from six countries, that is, India, China, Malaysia, Singapore, Italy, and Japan [3]. Till now, 54 types of insecticides were introduced to Nepal with 14 bio-pesticides, which are depicted in Tables 1 and 2. Organochlorines and some other highly toxic chemical pesticides were banned in Nepal, which are shown in Table 3. Insecticides were registered in 1787 commercial names by Plant Quarantine and Pesticide Management Center (PQPMC) under the Department of Agriculture, Nepal. In Nepal, there are altogether 16,110 retailers, 5 pesticide formulators, 37 pesticide applicators, and 286 pesticide importers [11]. Traders of pesticides are mainly concentrated in the commercial agricultural areas such as in plain regions, in the valley, and in and around the major cities of the country. Still, pesticide business has not penetrated the mid-hills, hills, and larger rural areas of the country.
S. No. | Insecticide chemical group (in use) | Common names |
---|---|---|
1 | Organophosphate | Acephate, Azamethiphos, Chlorantraniliprole, Chlorpyrifos, Dimethoate, Ethion, Malathion, Phenthoate, Profenofos, Quinalphos, Temephos |
2 | Carbamates | Propoxur, Thiodicarb |
3 | Synthetic pyrethroids | Cypermethrin, Permthrin, Alphacypermethrin, Alphamethrin, Bifenthrin, Beta-cyfluthrin, Cyfluthrin, Etofenprox, Fenvalerate, Flumethrin, Lambda Cyhalothrin |
4 | Nicotinoid | Acetamiprid, Dinotefuran, Imidacloprid, Nitenpyram, Thiacloprid, Thiamethoxam |
5 | Avermectin | Abamectin, Emamectin benzoate |
6 | Methyl | Amitrazz |
7 | Organic thiophosphate | Azamethiphos |
8 | Nereistoxin analogue | Cartap hydrochloride |
9 | Halogenated pyrroles | Chlorfenapyr |
10 | Thioureas | Diafenthiuron |
11 | Benzoylurea | Diflubenzuron |
12 | Pyrazole | Fipronil |
13 | Pyridine compound | Flonicamid, Pymetrozin |
14 | Diamide | Flubendiamide |
15 | Isoxazoline | Fluralaner |
16 | Oxadiazine | Indoxacarb |
17 | Spinosyns | Spinosad |
18 | Tetronic acid | Spriomesifen |
19 | Tetramic acid | Spriotetreamat |
20 | Insect growth regulator | Novaluron, Lufenuron, Cyromazine, Chlorfluazuron, Buprofezin |
21 | Dazomet | — |
Registered pesticides in Nepal till 14 July, 2020.
S. No. | Common name | Origin |
---|---|---|
1 | Neem based | |
2 | Bacteria | |
3 | Bacteria | |
4 | Bacteria | |
5 | Bacteria | |
6 | Fungus | |
7 | Fungus | |
8 | Fungus | |
9 | Fungus | |
10 | Fungus | |
11 | Fungus | |
12 | Fungus | |
13 | Nematode | |
14 | Nuclear polyhedrosis virus | Virus |
List of bio-pesticides registered in Nepal.
S. No. | Banned pesticides | Decision year | S. No. | Banned pesticides | Decision year |
---|---|---|---|---|---|
1 | DDT | 2001 | 13 | Monocrotophus | 2006 |
2 | BHC | 2001 | 14 | Methyl Parathion | 2006 |
3 | Aldrin | 2001 | 15 | Endosulphan | 2012 |
4 | Dieldrin | 2001 | 16 | Phorate | 2015 |
5 | Endrin | 2001 | 17 | Carbofuran | 2019 |
6 | Heptachlor | 2001 | 18 | Dichlorvos | 2019 |
7 | Chlordane | 2001 | 19 | Triazophos | 2019 |
8 | Mirex | 2001 | 20 | Carbaryl | 2019 |
9 | Phosphamidon | 2001 | 21 | Benomyl | 2019 |
10 | Organo Murcuric Fungicides | 2001 | 22 | Carbosulphan | 2019 |
11 | Lindane | 2001 | 23 | Dicofol | 2019 |
12 | Toxapheone | 2001 | 24 | Aluminium Phosphide 56% | 2019 |
Banned pesticides in Nepal.
In average, consumption of pesticide inactive ingredient is very low, that is, 0.396 kg/ha compared to other countries such as India (0. 481 kg/ha), China (2.0–2.5 kg/ha), Japan (10.8 kg/ha), Europe (1.9 kg/ha) and USA (1.5 kg/ha) [12]. But, in highly commercial agricultural areas have much higher use of pesticides than the national average.
Since insecticides are imported highly from foreign countries based on higher demand, farmers are using those chemicals in their fields injudiciously. Comparatively use of insecticides and other pesticides used in Nepal are lower than in developed countries, but the real problem is in the commercial pocket areas where growers are using exceedingly higher than they needed. There is a wider perception to the farmers that they have got the only chemical measures to control insect pests. Lack of awareness and knowledge of farmers, lack of alternatives of insect pests’ management other than chemicals, lack of governmental regulation and monitoring policies and actions for pesticide use are some of the reasons for improper and excessive use of insecticides in Nepal [13]. Insecticide use is reported much higher in vegetables compared to cereal crops and others. Since the vegetable growers are commercial, they tend to use insecticides more often. One study reported that more than 85% of insecticides imported were used in vegetable crops to deter various insect pests and oftentimes farmers are using insecticides even the insects are not at a damaging level. It is reported that a higher concentration of insecticides residues, that is, Cypermethrin than the permissible limit was detected in tomato and brinjal. The same study also showed that the concentration of Deltamethrin was higher in cowpea and was followed by cauliflower, tomato, and brinjal [14]. The residues of carbamate and organophosphate group of insecticides were observed in the vegetables sampled from the leading vegetable market of Nepal located in the heart of the capital city, Kathmandu. Tomato and cowpea were having higher residues of insecticides and these were grown in the commercial pocket of vegetables of Nepal, that is, Sarlahi and Kavre districts. The same study has revealed that 21.38% of tomato samples and 18.75% of cowpea samples were of sub-standard quality among the samples which were tested positive in pesticide residue analysis using the reagent kit method were [15]. The trend of insecticide use is increasing in Nepal by 10–20% per year and this signifies the prevailing crisis of Nepalese agriculture not only in terms of economic losses but also of associated detrimental effects [16].
It is reported that 25% of farmers of plain regions, 9% of mid-hills, and 7% of mountains use pesticides in their fields, and their usage in these ecological zones of Nepal is depicted inFigure 1 [17]. It is also reported that insecticides application is significantly higher in cotton and tea plantation in Nepal and it is worthwhile to mention that, compared to the cereal crops, use of insecticides and other pesticides is significantly higher in vegetables and other commercial/cash crops, as shown in Figure 2 [11]. In Kavrepalanchok district, near to the capital city, farmers were using insecticides 1–3 times whereas the same farmers were using 2–15 times in vegetables such as cabbage, potato, tomato, bitter gourd, cucumber, etc. It is even comparable to the share of pesticides in the production of various crops. Wheat has no pesticide application whereas, pesticide application in bitter gourd accounts for an 8.41% share in crop production [18] Farmers have reported the use of a cocktail spray of insecticides. Some farmers have also malpractice of dipping green vegetables in insecticide solutions such as malathion, mancozeb, etc. for a shiny and fresh look to fetch a good price in the market [12]. Farmers are very unaware and they hardly care for the waiting period to pick their harvest before they take it to the market. And, these products are purchased by the consumer and immediately taken for their food requirement and this makes the case more worsen [15].
Crop wise pesticide use (a. i. gm/ha) in Nepal (Source: PQPMC, 2021).
Ecological scenario of pesticide use in Nepal (Source: PQPMC, 2021).
Farmers of Nepal are very unaware of pesticide risk and it is the case of the area where people are engaged in conventional agriculture. In one survey conducted in Gaidahawa Rural Municipality of Rupandehi district, about 73% of the vegetable farmers have the practice of reusing the leftover pesticides. In the farmers’ field, researchers have reported that farmers have left the pesticide containers and packets in the open field, without thinking about the risk those containers possess [19]. Among the various pesticides reported in the area, chlorpyrifos was with higher concentration, that is, 177 μg/kg from the soil samples collected from three different depths of soil, that is, 0–5 cm, 15–20 cm, and 35–40 cm. DDT although banned in Nepal from 2001, its residues were found at all depths of the soil, which shows its persistent nature in the environment [19, 20]. The DDT mean concentration at 35–40 cm soil depth from the above-mentioned research area was found higher than 10 μg/kg, which is more than the threshold value for the safety of various soil organisms. Other insecticides such as Profenofos and imidacloprid were also found in the soil samples abundantly at different soil samples and found to be toxic to different soil organisms [19].
Insecticides can be used in a variety of forms, including liquid, concentrated, powder, dust, particle, aerosol, and fog, to control various insect pests of various crops. Those chemicals sprayed in a crop’s field will move and transfer to the environment via water, wind, and absorption. It can be transferred to long distances and in various forms. A large part of the most commonly used insecticides do not reach their target insect and may be affecting non-target organisms or polluting the environment. Non-target organisms include not only other insects, but also vertebrates such as wildlife, humans, and domestic animals. Insecticides can enter non-target habitats or ecosystems and affect non-target organisms [20]. Since food is a basic need and the practices of insecticide use do have a greater impact on human health. The most contaminated insecticides group, that is, carbamate and organophosphates are neurotoxic and are acetylcholinesterase inhibitors. These insecticides belong to the toxicity categories I and II. These are categorized under the most dangerous insecticides to the non-target organisms including humans and the environment [21]. These chemical insecticides may have contaminate on the environment such as soil, water (surface and ground), various flora and fauna, etc.
Since the import of pesticides including insecticides is increasing every year. The import of pesticides in the year 2013/14 was 454 tons but now, in the year 2019/20, import has been increased to 681 tons as shown in Figure 3 [11]. The residues of those chemicals on the soil and water are accumulating every year. One research has highlighted the moderate risk of cancer to the public where the soil is contaminated with organochlorine residues such as DDT and endosulfan [22]. This signifies not only the impending to the human health but also to the rich flora and fauna of the country itself. This sort of unsustainable practices in agriculture could be the cause of the loss of rich fauna which includes 17,097 species [23]. Various biotas inhabiting the soil such as bacteria, fungi, nematodes, earthworms, soil-inhabiting insects, and other arthropods with the presence of other organisms help to maintain the quality of soil and provide major ecosystem services for maintaining soil health and ultimately the quality of food production. The malpractices of insecticides along with other hazardous pesticides could have a detrimental effect on those organisms and ultimately deteriorate the quality and quantity of food production [19]. Another research conducted at Biratnagar of Nepal reported the presence of DDT and endosulfan in soil. The research also suggested that the use of DDT is still ongoing in the region but endosulfan residues were of past use [22].
Scenario of yearly pesticide import into Nepal (Source: PQPMC, 2021).
These insecticides exposure to humans causes detrimental health defects such as hormonal imbalance, immune suppression, lower intelligence, reproductive anomaly, damage on kidney, liver, neural regions, and cancer. Farmworkers who have also exposure to insecticides get the symptoms of headache, drowsiness, dizziness, skin irritation, muscular twitching, respiratory discomfort, etc. [24, 25].
It is reported that the estimated health cost of the pesticide user individual who has got exposure to pesticides is Nepalese Rupee (NPR) 287. Of the total household expenditure, pesticide-induced health costs take 0.2% of annual household expenditure and 10.32% of annual health care expenditure [26].
More than the optimal concentration of insecticides also has unprecedented results human health and their expenditure on health care. One unit increase in insecticide concentration, that is, by 1 ml/L of water, would cause increased sickness cases by 6.8% and health costs by nearly NPR 30. Similarly, more hours of insecticide or any other pesticides application would bring unintended results to the health of the farmers and their expenditure [26].
It is also upsetting to mention the intentional or suicidal attempts of pesticide poisoning are common in Nepal. Most of the time, insecticides; mainly organophosphate are used by suicidal attempters. The most commonly used insecticides for self-pesticide poisoning were methyl parathion, dichlorvos, aluminum phosphide, and zinc phosphide [27].
It is speculated that the insecticide reduction will cause a decline in the yield of the crops. But, it is not the case of the countries which are following a reduction in pesticide use because of their focus on the ecology of pests and agro-ecosystem. In that scenario, their production has been affected as speculated. Sweden has reduced pesticide use by 68% and public health poisonings by 77%. Their cutoff to the pesticides did not cause increased crop losses by the various pest species including insects. Indonesia also has reduced pesticide use by 65% and on the contrary, their production of rice has increased by 12%. India is also practicing the same and reducing the use significantly over the past years. But, Nepal is doing the opposite [25]. We are quite increasing the pesticide use for the sake of higher production, but, we are not aware of the fact that we are using unwarranted pesticides. Farmers, the ones who are not trained with the Integrated Pest Management (IPM) practices, are spraying the chemical pesticides more often than the ones who are trained. It is found that the trained farmers are spraying the pesticides 2.7 more times than the optimal whereas; the ones who are not trained are spraying 4.4 times of control [27]. This suggests the need of organizing community-based IPM training and environmental awareness programs about harmful effects of pesticides and sharing the know-how of insect pest management other than chemicals. It is also reported that Nepalese farmers are willing to pay higher prices (53–79%) than the current pesticide costs to mitigate the detrimental effect on their health and environment, and this clearly shows that they are willing to adopt alternative measures of pest management. But, the IPM programs of Nepal do have a contribution to the reduction of pesticide use but do not have a significant contribution to the reduction of health damages associated with the pesticides [25].
For the first time in Nepal’s history, the pesticide act was enacted in 1991, regulations were approved in 1993, and pesticide board was formulated in 1994 [18, 28]. Currently, Pesticides Management Act, 2019 was enacted which provisioned registration of bio-pesticides and also included the provision of facilitating warehouses for storing the date expire, band, and obsoleted pesticides in seven provinces of Nepal. It also included the provision of bringing back the pesticides which are spoiled, banned, or obsolete pesticides. It also included the provincial pesticide committee. Punishment was also provisioned in the act and upon defiance of these laws minimum of 25 thousand Nepalese Rupee (NPR) penalty, one-month prison, and maximum 200 thousand NRS penalty, and one-year prison was provisioned. Overall, the pesticide act regulates the manufacture, import, sale, transport, distribution, and use of pesticides in the country. This enabled the registration of pesticides, monitoring and inspection of pesticides, registration of importers and traders, and banning of highly toxic pesticides to minimize the exposure to humans, livestock, and other associated environmental components [29]. But, there is a great scope for proper inaction of law so that the widespread misuse of chemical pesticides in the country either by the importers, traders, and applicators could be minimized greatly. Since Nepal shares an open border with India, there are unintended pesticide imports to the country and many of them are more toxic, banned, and unregistered. Tracking the trade with India is oftentimes difficult since a porous border gives the opportunity to the persons who are involved in illegal trades.
Nepal is also a signatory country for WHO and follows the rules, regulations, and treaties proposed by them. Recently as directed by WHO, the country has banned 1a and 1b types of extremely hazardous pesticides. As a responsible member, Nepal has signed international treaties like the Basal convention, Stockholm convention, and Rotterdam convention, which have aimed to minimize the use of persistent and toxic pesticides [3].
Since Nepali farmers do not have much more information and knowledge about the methods of pest management other than chemicals. But, the Nepal Government and Department of Agriculture have started to prioritize the IPM program. Integrated Pest Management (IPM) is a pest control strategy that aims to combine various techniques of pest management such as mechanical, physical, cultural, biological, and chemical to minimize the risks possessed by the pest in a given ecosystem [30]. IPM always considers the use of chemicals as a last resort and before using chemicals, it seeks out all the possible alternatives for insect pest management.
Since 1999, the Nepalese government has used the Farmer Field School approach to strengthen farmers for cultivating healthy crops with decisions based on an understanding of the field agroecosystem with having eyes on beneficial organisms such as predators and parasites of insect pests. A Farmer Field School, also known as a school without walls, is a school that teaches basic agroecology and crop management skills. A group of farmers gathers in one of their own fields to observe, discuss, record, and analyze real-world field problems from crop planting to harvest. This field school is based on the concept of “learning by doing” rather than “seeing is believing”. The FFS was specially designed for farmers to learn and adopt IPM practices to their diverse and ever-changing ecological conditions [31]. Several crop season-long FFS have been organized in Nepal in recent years to provide knowledge and know-how on IPM to vegetable farmers in the hope of reducing their use of pesticides [32].
IPM farmer’s field schools in the country have positive impacts on the farmers for using a lesser amount of pesticides. This was evident in the Bhaktapur district of the country, which is also well known for commercial vegetable production, and seasonal and off-seasonal vegetables are produced here. As reported, farmers were using a significantly higher amount of pesticides where mean active ingredient (a.i.) of fungicides and insecticides were 2373 and 1963 g respectively and on average use of pesticide use was 2011 g a.i./ha. Among the used pesticides to cruciferous vegetables, the share of insecticides was more, that is, 76% which was followed by fungicides (19%) and unknown were 5%. The participants of IPM farmer’s field school had reduced significantly lower amounts of pesticides compared to non-participants. It was reported the 36% lesser amount of pesticides due to the effect of participation of IPM farmer’s field school [32]. In another report, pesticide application by the farmers was decreased by 40% upon participation in farmer’s field school [33]. This obviously shows the importance of these programs organized by governmental institutions.
Bio-pesticide could be a viable alternatives for Nepalese farmers since it will not be toxic to humans, other organisms, and the environment at large. There are altogether 14 registered bio-pesticides in Nepal which are effective to manage various insect pests and in some instances, other pests too of various crops. In Nepal, the use of bio-pesticides started commercially roughly after 2000. The share of bio-pesticides in the year 2019/20 is 0.005% of the total quantity of pesticides imported and used. This shows the predominantly higher use of conventional pesticides compared to commercial bio-pesticides. But, the use of locally available plant resources for pest control is a long practiced tradition of the farmers of Nepal. Many plants possess pesticide properties and these are all available all around the country. Three hundred and twenty four species of botanicals are found in Nepal only and among them, 23 species have special importance to the farming community of Nepal. The most common plants used as pesticides are as follows: Neem (
Although Nepal shares larger scope of isolation of different micro-organisms from the soil of Nepal, it offers only the formulation of two funguses, that is,
Nepal, an agrarian country located in Southeast Asia is going to face unprecedented changes in human health, environment, and ecosystems due to more use of insecticides to deter insect pests in the farmer’s field. Large amounts of insecticides are imported from foreign countries. These chemicals certainly have negative impacts on the farming community and the environment at large. The situation seems even worse because of a lack of knowledge and skills related to the safety aspects of the farming community about the use of insecticides and its negative effects not only to the consumers but on them too. Many researches have confirmed the presence of undesirable residues of insecticides in vegetables, fruits, and other agricultural commodities. Incidences of human diseases such as immune dysfunction, kidney failure, cancer, etc. are also increasing in the country which somehow has a direct or indirect relation to the more use of insecticides in the field. Because farmer knowledge and behavior can reduce the ecological risk of pesticides, programs such as IPM training and farmer’s field school (FFS), etc. could be determined to change the status quo. Prioritizing the botanicals by the Nepal government and its respective agricultural agencies to the area where there is no practice of using conventional pesticides has special significance to protect the health of humans, various flora and fauna, and the environment.
The author wishes to appreciate the contribution of all the individuals and organizations who are constantly working on pesticides, their residues, effects, and mitigation in Nepal, and who has helped the author directly and indirectly in preparing this manuscript.
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Fuchs"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6210",title:"Thalassemia and Other Hemolytic Anemias",subtitle:null,isOpenForSubmission:!1,hash:"857e8a4bff6f78189f15a00423bde1a6",slug:"thalassemia-and-other-hemolytic-anemias",bookSignature:"Isam AL-Zwaini",coverURL:"https://cdn.intechopen.com/books/images_new/6210.jpg",editedByType:"Edited by",editors:[{id:"30993",title:"Prof.",name:"Isam Jaber",middleName:null,surname:"Al-Zwaini",slug:"isam-jaber-al-zwaini",fullName:"Isam Jaber Al-Zwaini"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6439",title:"Hematology",subtitle:"Latest Research and Clinical Advances",isOpenForSubmission:!1,hash:"38a4394f1ec01ccab623df90e56e5992",slug:"hematology-latest-research-and-clinical-advances",bookSignature:"Margarita Guenova 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Venous Thromboembolism in Neonates, Renal Disease and Cancer Patients",subtitle:null,isOpenForSubmission:!1,hash:"be0025c7b271840b95d54511f2783fc5",slug:"pathophysiology-and-clinical-aspects-of-venous-thromboembolism-in-neonates-renal-disease-and-cancer-patients",bookSignature:"Mohamed A. Abdelaal",coverURL:"https://cdn.intechopen.com/books/images_new/832.jpg",editedByType:"Edited by",editors:[{id:"106431",title:"Dr.",name:"Mohamed A.",middleName:null,surname:"Abdelaal",slug:"mohamed-a.-abdelaal",fullName:"Mohamed A. Abdelaal"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1830",title:"Hematology",subtitle:"Science and Practice",isOpenForSubmission:!1,hash:"5bcd8875467e51b02e0ea4aec429ad51",slug:"hematology-science-and-practice",bookSignature:"Charles H. Lawrie",coverURL:"https://cdn.intechopen.com/books/images_new/1830.jpg",editedByType:"Edited by",editors:[{id:"103158",title:"Dr.",name:"Charles",middleName:null,surname:"Lawrie",slug:"charles-lawrie",fullName:"Charles Lawrie"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:9,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"31178",doi:"10.5772/38961",title:"Physiological Factors in the Interpretation of Equine Hematological Profile",slug:"haematological-profile-of-the-horse-phisiological-factors-influencing-equine-haematology",totalDownloads:10779,totalCrossrefCites:15,totalDimensionsCites:35,abstract:null,book:{id:"1830",slug:"hematology-science-and-practice",title:"Hematology",fullTitle:"Hematology - Science and Practice"},signatures:"K. Satué, A. Hernández and A. Muñoz",authors:[{id:"125292",title:"Dr.",name:"Katy",middleName:null,surname:"Satué Ambrojo",slug:"katy-satue-ambrojo",fullName:"Katy Satué Ambrojo"}]},{id:"37047",doi:"10.5772/32080",title:"Microparticles: Role in Haemostasis and Venous Thromboembolism",slug:"microparticles-role-in-haemostasis-and-venous-thromboembolism",totalDownloads:2455,totalCrossrefCites:0,totalDimensionsCites:4,abstract:null,book:{id:"832",slug:"pathophysiology-and-clinical-aspects-of-venous-thromboembolism-in-neonates-renal-disease-and-cancer-patients",title:"Pathophysiology and Clinical Aspects of Venous Thromboembolism in Neonates, Renal Disease and Cancer Patients",fullTitle:"Pathophysiology and Clinical Aspects of Venous Thromboembolism in Neonates, Renal Disease and Cancer Patients"},signatures:"Anoop K. Enjeti and Michael Seldon",authors:[{id:"90071",title:"Dr.",name:"Anoop",middleName:null,surname:"Enjeti",slug:"anoop-enjeti",fullName:"Anoop Enjeti"},{id:"151786",title:"Dr.",name:"Michael",middleName:null,surname:"Seldon",slug:"michael-seldon",fullName:"Michael Seldon"}]},{id:"59051",doi:"10.5772/intechopen.70937",title:"Acute Myeloid Leukemia in Pediatric Patients: A Review About Current Diagnostic and Treatment Approaches",slug:"acute-myeloid-leukemia-in-pediatric-patients-a-review-about-current-diagnostic-and-treatment-approac",totalDownloads:1565,totalCrossrefCites:1,totalDimensionsCites:4,abstract:"Acute leukemia is the most common childhood malignancy, accounting for almost 35% of all childhood cancers. Acute myeloid leukemia (AML) represents 15–20% of pediatric acute leukemia. Majority of AML cases appear de novo, however a minority of cases can present as a secondary malignancy. AML is a highly heterogeneous disease and its diagnosis involves a combination of diagnostic analyses including morphology, immunophenotyping, cytochemistry, and leukemic blasts derived from peripheral blood or bone marrow demonstrating cytogenic and molecular characteristics. Through the identification of recurrent genetic mutations, it has been made possible to refine individual prognosis and guide therapeutic management. The current survival rate of children with AML is approximately 70%. The standard therapeutic regimen is a combination of cytarabine- and anthracycline-based regimens with allogenic stem cell transplantation in appropriate patients. Relapse in pediatric patients suffering from AML occurs in approximately 30% of cases, whereas death occurs in 5–10% of patients as a result of disease complications or chemotherapeutic side effects. In understanding the genetic basis of AML, targeted therapies will have the ability to reduce treatment-related morbidity and mortality. Here, we provide a comprehensive review of AML, its biology, diagnosis and therapeutic management in pediatric patients.",book:{id:"6261",slug:"myeloid-leukemia",title:"Myeloid Leukemia",fullTitle:"Myeloid Leukemia"},signatures:"Katarzyna Derwich, Dorothy Mitkowski and Jolanta Skalska-\nSadowska",authors:[{id:"205540",title:"Dr.",name:"Katarzyna",middleName:null,surname:"Derwich",slug:"katarzyna-derwich",fullName:"Katarzyna Derwich"},{id:"214057",title:"Dr.",name:"Dorothy",middleName:null,surname:"Mitkowski",slug:"dorothy-mitkowski",fullName:"Dorothy Mitkowski"},{id:"214058",title:"Dr.",name:"Jolanta",middleName:null,surname:"Skalska-Sadowska",slug:"jolanta-skalska-sadowska",fullName:"Jolanta Skalska-Sadowska"}]},{id:"61695",doi:"10.5772/intechopen.76931",title:"Angiogenesis and Antiangiogenesis in Multiple Myeloma",slug:"angiogenesis-and-antiangiogenesis-in-multiple-myeloma",totalDownloads:1183,totalCrossrefCites:1,totalDimensionsCites:4,abstract:"Multiple myeloma progression is characterized by a dense interaction between cancer cells and bone marrow microenvironment. The interactions of myeloma cells with various stromal cells and extracellular matrix components are the main regulator of the biological processes that underlie the progression of the disease and of the classic symptomatology correlated. The bone marrow of myeloma patients has recognized autocrine and paracrine loops that regulate multiple signaling pathways and the malignant phenotype of plasma cells. One of the pivotal biological processes which are responsible for myeloma progression is the formation of new vessels from existing ones, known as angiogenesis. It represents a constant hallmark of disease progression and a characteristic feature of the active phase of the disease. Near angiogenesis, other two ancestral processes were active in the bone marrow: vasculogenesis and vasculogenic mimicry. These processes are mediated by the angiogenic cytokines, interleukins, and inflammatory cytokines directly secreted by plasma cells and stromal cells. Neovascularization is also mediated by direct interaction between plasma cells and the various components of bone marrow microenvironment. The observation of the increased bone marrow angiogenesis in multiple myeloma and its correlation with disease activity and overall survival led to consider angiogenesis as a new target in the treatment of multiple myeloma.",book:{id:"6710",slug:"update-on-multiple-myeloma",title:"Update on Multiple Myeloma",fullTitle:"Update on Multiple Myeloma"},signatures:"Roberto Ria, Antonio Solimando, Assunta Melaccio, Azzurra\nSportelli and Angelo Vacca",authors:null},{id:"31163",doi:"10.5772/35840",title:"Intravascular Leukocyte Chemotaxis: The Rules of Attraction",slug:"intravascular-leukocyte-chemotaxis-the-rules-of-attraction",totalDownloads:2342,totalCrossrefCites:1,totalDimensionsCites:4,abstract:null,book:{id:"1830",slug:"hematology-science-and-practice",title:"Hematology",fullTitle:"Hematology - Science and Practice"},signatures:"Sara Massena and Mia Phillipson",authors:[{id:"106058",title:"Dr.",name:"Mia",middleName:null,surname:"Phillipson",slug:"mia-phillipson",fullName:"Mia Phillipson"},{id:"106366",title:"Dr.",name:"Sara",middleName:null,surname:"Massena",slug:"sara-massena",fullName:"Sara Massena"}]}],mostDownloadedChaptersLast30Days:[{id:"64871",title:"Diagnosis and Classification of Myelodysplastic Syndrome",slug:"diagnosis-and-classification-of-myelodysplastic-syndrome",totalDownloads:3255,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"Myelodysplastic syndrome (MDS) is a clonal hematopoietic stem cell disorder characterized by morphological dysplastic changes in one or more of the major hematopoietic cell lines. MDS can present with varying degrees of single or multiple cytopenias including neutropenia, anemia and thrombocytopenia. Presentation of MDS can range from asymptomatic to life threatening. MDS diagnosis and classification present important challenges, particularly in the distinction from benign conditions. French-American-British (FAB) classification proposed a classification based on easily obtainable laboratory information and was recommended in early and as modified by guidelines of new classification of World Health Organization (WHO). The strategy of diagnostic laboratory in MDS depends on morphological changes and is based on existence of dysplastic changes in the peripheral blood and bone marrow including peripheral blood smear, bone marrow aspirate smear and bone marrow trephine biopsy. The correct morphological interpretation and the use of cytogenetics, immunophenotyping, immunohistochemistry and molecular analysis will give valuable information on diagnosis and prognosis.",book:{id:"7138",slug:"recent-developments-in-myelodysplastic-syndromes",title:"Recent Developments in Myelodysplastic Syndromes",fullTitle:"Recent Developments in Myelodysplastic Syndromes"},signatures:"Gamal Abdul Hamid, Abdul Wahab Al-Nehmi and Safa Shukry",authors:[{id:"36487",title:"Prof.",name:"Gamal",middleName:null,surname:"Abdul Hamid",slug:"gamal-abdul-hamid",fullName:"Gamal Abdul Hamid"},{id:"273724",title:"Dr.",name:"Safa",middleName:null,surname:"Shukry",slug:"safa-shukry",fullName:"Safa Shukry"},{id:"277511",title:"Dr.",name:"Abdulwahab",middleName:null,surname:"Al-Nehmi",slug:"abdulwahab-al-nehmi",fullName:"Abdulwahab Al-Nehmi"}]},{id:"60442",title:"Invasive and Noninvasive Approaches in Prenatal Diagnosis of Thalassemias",slug:"invasive-and-noninvasive-approaches-in-prenatal-diagnosis-of-thalassemias",totalDownloads:1778,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Thalassemia is a significant health problem worldwide. There are two main classifications, α- and β-thalassemias, which are usually caused by the defective synthesis of the α-globin, and which are commonly caused by different mutations of the β-globin chain. Different hemoglobin mutations have been identified to date. Thalassemias can result in profound anemia from early life and, if not treated with regular blood transfusions, can lead to death in the first year. Prenatal diagnosis of thalassemia is the essential part of preventive medicine and is currently dependent on the use of invasive diagnostic tests within the first 2 months of pregnancy. These diagnostic techniques carry a small but significant risk of fetal loss up to 1%. Molecular diagnostic methods have been developed for genotyping thalassemias based on PCR techniques and high-throughput technologies. Noninvasive tests using cell-free DNA (cfDNA) from a maternal blood sample is also an alternative method, thus eliminating the risk of miscarriage. This chapter summarizes the current invasive approaches and the noninvasive methods using cell-free fetal DNA as new molecular diagnostic methods for genotypic diagnosis of thalassemia in clinical practice. Prevention strategies that encompass carrier screening, genetic counseling, and prenatal diagnosis are discussed.",book:{id:"6210",slug:"thalassemia-and-other-hemolytic-anemias",title:"Thalassemia and Other Hemolytic Anemias",fullTitle:"Thalassemia and Other Hemolytic Anemias"},signatures:"Abdullah Tuli and Ebru Dündar Yenilmez",authors:[{id:"183998",title:"Ph.D.",name:"Ebru",middleName:null,surname:"Dündar Yenilmez",slug:"ebru-dundar-yenilmez",fullName:"Ebru Dündar Yenilmez"},{id:"215677",title:"Prof.",name:"Abdullah",middleName:null,surname:"Tuli",slug:"abdullah-tuli",fullName:"Abdullah Tuli"}]},{id:"62044",title:"Sickle Cell Disease: A Genetic Disorder of Beta-Globin",slug:"sickle-cell-disease-a-genetic-disorder-of-beta-globin",totalDownloads:1816,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Sickle cell disease (SCD) is a structural and monogenetic genetic disorder due to a mutation that occurs in the globin β-chain, resulting in the formation of hemoglobin S (Hb S), a protein composed of two normal, and two β-type mutant chains. Estimates indicate that the prevalence among live births is 4.4% in the world. The difficulty in circulating the sickle cell, its interaction with endothelial cells, leukocytes, platelets, endothelial dysfunction, and the abnormal expression of adhesion molecules permeate the beginning of the blood vessel occlusion process as well as pathophysiological aspects of SCD. Among the secondary complications are the stroke, pulmonary hypertension, leg ulcer, renal disorders, and all complications associated with vascular dysfunction. Clinical and biochemical markers of disease severity can be used to predict risk, prevent complications, and increase the expectation and quality of life of the SCD population. The entire scenario generated by Hb S has implications for the health and social inclusion of patients, so the treatment of the person with SCD needs an approach focused on the prevention of these complications in an individualized way.",book:{id:"6210",slug:"thalassemia-and-other-hemolytic-anemias",title:"Thalassemia and Other Hemolytic Anemias",fullTitle:"Thalassemia and Other Hemolytic Anemias"},signatures:"Karen Cordovil",authors:[{id:"228575",title:"M.D.",name:"Karen",middleName:null,surname:"Cordovil",slug:"karen-cordovil",fullName:"Karen Cordovil"}]},{id:"66394",title:"Diffuse Large B-Cell Lymphoma",slug:"diffuse-large-b-cell-lymphoma",totalDownloads:2482,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Diffuse large B-cell lymphoma (DLBCL) is a heterogenous class of aggressive lymphoma and is considered as the most common subtype of non-Hodgkin lymphomas (NHL). Several genetic anomalies such as point mutations, numerical alterations, and, more rarely, translocations and gene amplifications play a role in the pathogenesis of this class of B-cell lymphoma and have been related to specific histological and immunophenotypic subtypes. On the other hand, the treatment protocol in DLBCL did not witness significant changes during the last two decades. The widespread adoption of rituximab as an important adjuvant to standard chemotherapy protocol in CD20+ cases was a notable exception, which provided significant improvement in disease-free survival and overall survival, with limited toxicity. However, no less than 20% of patients diagnosed with DLBCL exhibit relapse after the initial response to R-CHOP regimen, while more than 15% of the patients exhibit primary refractory disease. This is the reason why a review of all the morphological, clinical, and therapeutic particularities of DLBCL is required.",book:{id:"8316",slug:"normal-and-malignant-b-cell",title:"Normal and Malignant B-Cell",fullTitle:"Normal and Malignant B-Cell"},signatures:"Patrascu Ana Maria, Ionela Rotaru, Valeriu Surlin and Stefan Patrascu",authors:[{id:"158096",title:"Associate Prof.",name:"Valeriu",middleName:null,surname:"Surlin",slug:"valeriu-surlin",fullName:"Valeriu Surlin"},{id:"194539",title:"Dr.",name:"Stefan",middleName:null,surname:"Patrascu",slug:"stefan-patrascu",fullName:"Stefan Patrascu"},{id:"290810",title:"Dr.",name:"Ana Maria",middleName:null,surname:"Patrascu",slug:"ana-maria-patrascu",fullName:"Ana Maria Patrascu"},{id:"292959",title:"Dr.",name:"Ionela",middleName:null,surname:"Rotaru",slug:"ionela-rotaru",fullName:"Ionela Rotaru"}]},{id:"61929",title:"Idiosyncratic Drug-Induced Severe Neutropenia and Agranulocytosis: State of the Art",slug:"idiosyncratic-drug-induced-severe-neutropenia-and-agranulocytosis-state-of-the-art",totalDownloads:1621,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"In this chapter, we report and discuss the diagnosis and management of idiosyncratic drug-induced, or drug-associated, severe neutropenia, and agranulocytosis (neutrophil count of <0.5 × 109/L). In this setting, neutropenia remains a potentially serious adverse event due to the frequency of severe sepsis, with severe deep tissue infections (e.g., pneumonia), life-threatening infections, septicemia, and septic shock in two-thirds of all hospitalized patients. Recently, several poor prognostic factors, impacting the hematological recovery, the duration of hospitalization, and the outcome have been identified that may be helpful when identifying “frailty” patients. These factors include: old age, poor performance status, septicemia or shock, comorbidities such as renal failure, and a neutrophil count below 0.1 × 109/L. recovery. In this situation, modern management, with broad-spectrum antibiotics in case of any sepsis sign and hematopoietic growth factors (HGF) (particularly G-CSF), is likely to improve the prognosis, with a current mortality rate around 5%.",book:{id:"6439",slug:"hematology-latest-research-and-clinical-advances",title:"Hematology",fullTitle:"Hematology - Latest Research and Clinical Advances"},signatures:"Emmanuel Andrès and Rachel Mourot-Cottet",authors:[{id:"143493",title:"Prof.",name:"Emmanuel",middleName:null,surname:"Andrès",slug:"emmanuel-andres",fullName:"Emmanuel Andrès"}]}],onlineFirstChaptersFilter:{topicId:"1026",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:108,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:140,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:123,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:22,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:11,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:59,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. 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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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