Fire resistance of the fire-separating structures according to STN 730821 [12].
\r\n\tAtherosclerosis is a systemic disease. Some 60% of patients with peripheral artery disease will have ischaemic heart disease, and 30% have cerebrovascular disease. Within five years of diagnosis, 10-15% of patients with intermittent claudication will die from cardiovascular disease. Therefore, management begins with the identification and modification of risk factors that are common to peripheral artery disease, heart disease, and stroke. Treatment goals include reducing cardiovascular risk and improving functional capacity. Revascularization is indicated for persistent symptoms.
\r\n\tThe main objective of the book is to deal with peripheral arterial disease in the most diverse aspects. Addressing issues such as pathophysiology, signs and symptoms, clinical aspects, treatment, and prognosis.
\r\n\t
The successful restoration or renovation of a historic building depends on the integration of new operational requirements into the existing premises without the necessity of changing its original structure, layout and appearance. It is important for the building conservation to preserve the building’s originality after its renovation and provide better microclimate and safety standard. The extent of the construction changes is connected with the extent of changes to fire safety solution. Restoration of a historic building can be defined as a set of layout and construction modifications implemented into the building structures in such a way that the building’s original height and ground plan can be preserved. The construction interventions modify the building’s technical parameters such as layout, load-bearing capacity, thermal and acoustic protection and fire safety. The building proceeding in the Slovak Republic related to the above-mentioned changes follows Act No. 50/1976 Coll. on town planning and building code.
\nRestoration of a historic building can be as follows: (a) an exact restoration, based on the detailed documentation of the building’s original condition; (b) analogous restoration, based on the verifiable similarity or sameness with a better preserved building; and (c) hypothetical restoration, based on a substantiated, scientifically formulated hypothesis (assumption), giving the base for rebuilding a destroyed or disappeared building or its part.
\nNowadays, most original historic buildings are not suitable for the occupation; they do not meet either hygiene or static, thermal and fire protection requirements. As for the restoration of a historic building, it is important to pay attention to the choice and optimization of building materials and the optimization of the building’s functional use in terms of fire safety.
\nIn these cases, the fire safety measures should be the result of a compromise among the fire protection, building conservation, building law and quality requirements for the building’s new function. Fire safety in historic buildings is applied using passive and active fire protection of spaces and structures.
\nBased on the data from fire and rescue corps from 2013 to 2017, there are 2450 buildings of historic significance in Slovakia. Nowadays, the fire safety in historic buildings of great national and cultural importance (e.g. castles, cathedrals, mansions, etc.) where many rare museum exhibits are located is provided by electric fire signalization (EFS) equipment, fire extinguishers, internal and external fire cocks and firefighting measures applied in the building’s operation. These measures are related to the fire training of employees who stay in the building during the operation. Each employee is trained how to eliminate fire in its initial phase, evacuate persons and exhibits and call the firefighters.
\nAs stated in the Act of the Slovak Ministry of Interior No. 199/2009 on fire protection as amended, the building’s operator is obliged to work up, keep and maintain the fire documentation according to the current condition and ensure it is respected. Each owner or administrator of a listed building should determine a qualified person who will be responsible for respecting all operational and organizational measures related to fire safety in a building and will keep and update the fire documentation. Trained persons provide and take regular prophylactic fire inspections of firefighting equipment.
\nFire brigades regularly carry out training exercises in significant listed buildings to check their firefighting skills, means and methods and the accessibility of fire equipment in buildings. Despite the above measures, the real fire protection in most historic buildings in Slovakia is weak, and fire alarm systems are not located in all buildings. As Fire and Rescue Service Report 2018 states, there were 40 fires in such heritage buildings in the last 10 years. The most common cause was negligence, technical failure or deliberateness combined with the fire risk at the time of the building’s operation.
\nAnalysis of fire safety in listed buildings is primarily focused on firefighting equipment in terms of its location, availability and functionality as well as on staff readiness to use it effectively [1]. The most common deficiencies found during the fire inspections or in analyses of fire causes in such buildings are as follows:
Missing or non-functional electrical fire alarm
Non-functional hand fire extinguishers or their bad location in terms of accessibility at the time of fire
Missing, capacity-insufficient or unmaintained fire hydrants
Access roads badly rideable for the fire brigade due to insufficient road width and reinforcement or badly designed crossroads
Employees inadequately trained for firefighting and missing fire documentation determining evacuation plans for employees, visitors or exhibits
Insufficient maintenance of public spaces in terms of fire spread, location and storage of flammable materials in the immediate vicinity of the building
Improper handling with the heat or ignition source, that is heaters, welding kits and handling with an open fire, where smoking is prohibited, etc.
Technical defects in electrical installations or other equipment
Incendiarism, vandalism
It is not always possible to prevent fire in a building despite the implementation of fire-protective and operational measures, especially in unforeseeable natural disasters. In general, if fire safety measures are kept at all levels of protection, it is supposed that the building does not collide with fire. If fire safety measures are missing, neglected or non-functional at the time of fire, it often causes big artistic and architectural losses.
\nHere is the example of fire in the castle of Krásna Hôrka from 2012. The fire progress is shown in Figure 1b. Fire was caused by children who carelessly handled free flame near the castle hill. They threw a burning object into dry grass that ignited. As there was strong wind, fire spread rapidly onto the combustible castle roofs covered by wooden shingles (see Figure 1a). The castle consists of three buildings. The original upper castle dates from the fourteenth century; the middle and lower castles were built later by the original owners. The castle housed a permanent display of period works of art giving basic information on the castle and its original owners. There were original exhibits with a high museum value. The original roof structure consisted of timber trusses covered with wooden shingles and took the area of about 5000 m2. The lower and middle castle has vaulted ceilings; the upper castle has steel-bearing ceiling structure with a wooden flap. The castle has stone and brick external walls.
\nThe castle of Krásna Hôrka before fire, during fire, after fire and at the present time. (a) Original castle timber roofs before fire in 2012; (b) fire in the castle in 2012; (c) the castle after fire in 2012; (d) the castle at the present time.
Fire safety in the castle before fire included passive fire protection, roof space had no accidental fire load, and timber truss members were treated with fire coating in 2000, and active fire protection—electric fire signalization—is installed in the roof space [2].
\nThe Gothic tower contained a water reservoir of about 66 m3; the upper castle contained fire-water hose systems and wall hydrants. Powder fire extinguishers were installed in all spaces. Although the castle was protected at the time of fire by both passive and active fire protection, its protection was not sufficient considering the outside source of fire, climatic conditions and burning rate of dried roof timber.
\nThe fire lasted for about 3 days in terms of the quantity of timber structures and unfavorable natural conditions—strong wind. The roofs burned down (see Figure 1c). The firefighting was slowed down due to the road that was badly accessible for the fire brigade—there is only one access road leading to the castle. The water source was far from the burning area, and it was not possible to use the water reservoir in the castle.
\nThe fire affected mainly the Gothic castle that was restored in 1982. The part of the ceiling fell down; some exhibits such as swords and other historical weapons were destroyed. The interior exhibits in the lower and middle castle and the Francis Museum survived without harm. Overall, 90% of all historic exhibits were saved. The castle building suffered fire damage especially on its construction, and the total damage was estimated at approx. 8.05 million €.
\nNowadays, the castle’s restoration is coming to an end. All roofs, including load-bearing and truss structures, were built as replicas of the original structures, taking into account the forms they had at the time of the last major castle’s style alternation after fire in 1817 (1818). The original wooden shingle roof is replaced by burnt ceramic roofing, and the bastions have metal roofing (see Figure 1d). In this case, fire was caused by negligence and climatic conditions.
\nNo legislative standards were applied to the construction of buildings in terms of fire protection in the Middle Ages. The fire protection criteria in buildings with timber load-bearing structures were set out in the regulation issued probably by William I. Conqueror (1028–1087). All fireplaces in buildings were required to be put out at night and in the absence of persons. Furthermore, this regulation was supplemented by the requirement to cover the fireplace to prevent air access to the hot ash [3]. It is known from history that after the fire outbreak in the settlement, the consequences were global and fatal for inhabitants due to the combustible roofs and limited possibilities of firefighting at the time. For this reason, the past legislation focused on the fire protection in buildings due to the high risk of easy and rapid fire spreading from building to building.
\nThe oldest legislation valid in our territory for the royal free cities, as well as the towns and villages of higher importance with an authorized municipal office that deserved to be added to the royal free cities, was “Fire Regulations for the Kingdom of Hungary” issued in Presburg in 1788. This regulation was divided into four chapters:
How to prevent the occurrence of fire—related to the rules for construction of chimneys and internal fireplaces
How to detect fire early if it occurs—signals generated by bells
How to extinguish fire as quickly as possible—each settlement was obliged to have a public water reservoir, pond, lime trees planted on four sides of neighboring farm houses, etc.
How to prevent harmful consequences that may occur after fire
Growth in the manufacturing sector in the late nineteenth century brings the use of technique for firefighting. Fire protection starts to be provided by professional fire brigades. Non-combustible building materials—reinforced concrete, burnt ceramic blocks, etc.—are used for the construction of buildings that have natural protection against fire spreading within the building as well as from one building to another. The timber load-bearing elements of ceilings were protected by plasters and embankments made of non-combustible materials. Wooden shingles, straw and reed on the roofs were replaced by ceramic roofing. The timber trusses were separated from chimneys and treated with fire-resistant coatings to reduce their flammability. There was no fire risk in the roof spaces with trusses; they were separated from vertical shafts.
\nThe obligatory regulation for fire protection currently valid in Slovakia is Act No. 314/2001 as amended and implementary regulation issued by the Slovak Ministry of the Interior No. 121/2002 Coll. on fire prevention, as amended. The implementary regulation No. 94/2004 as amended specifies requirements for the project solution. The restoration of historic buildings takes into account mainly all society’s requirements for the preservation of their original appearance and material solutions considering adequate fire safety. Legislation valid for the restoration of historic buildings in Slovakia is Act No. 49/2002 on the heritage protection as amended, issued by the Slovak National Council and followed by the implementary regulations. Details on the performance of monument research are specified in the implementary regulation No. 253/2010 Coll. issued by the Slovak Ministry of Culture. It determines, based on monumental survey, the conditions for methods and extent that can be used in the remediation of existing historic buildings. Survey conclusions are one of the bases for the design and extent of construction work as well as the choice of materials used in the renovation. The requirements and conditions for the restoration of historic buildings in terms of fire safety are limited due to the specific conditions. The restoration and renovation of buildings in Slovakia follows the criteria specified in Slovak Standard STN 730834 on construction changes.
\nIn terms of fire safety, the building’s alternation is the only alternation resulting in a higher fire risk, number of persons, replacement of load-bearing structures and installations within the affected spaces. The extent of fire safety measures is determined by the extent of changes in the building’s construction or operation [4]. The alternations of buildings can be divided into three categories:
\nThe
The
The
The building’s functional change often brings the exchange of a building’s owner or manager whose criteria for the heat-moisture regime in the indoor environment are higher. As a result of this change, there is a requirement to increase building’s thermal protection if the building conservationists give the permit. Thermal protection in historic buildings is done at least to eliminate microclimate deficiencies, optimally considering the building’s energy efficiency and sustainability in terms of its environmental impact [5].
\nIf listed buildings are restored, the fire safety solution must contain an expert opinion analyzing the specific building’s conditions and determining requirements for its fire safety depending on the boundary conditions such as functional use, design, layout in the vertical direction, occupancy, number and quality of emergency routes, availability of access roads and firefighting water. The fire safety solution should take into account at least the following requirements: the operations with the high fire load and fire factor higher than 1.1, except theaters, exhibition halls, museums and areas for visitors, cannot be situated in the listed buildings whose original function of spaces is modified.
\nThe fire alarm systems are required to be installed in the unique historic spaces, e.g. spaces containing murals, unique historic collections, unique structures or elements made of flammable materials.
\nThe fire safety reassessment is required to be done if alternations to historic buildings result in their restoration or renewal.
\nHistoric buildings were usually constructed using a combination of combustible and non-combustible materials. The most used building material was wood—in roof structures, ceilings and stairs. It was used in the past as a single building material to construct buildings of folk architecture in Slovakia. Historic buildings usually contain composite construction systems. The cellars and basements had stone or masonry walls, and ceilings had ceramic vaults. The above-ground floors had peripheral walls that were built using a combination of non-combustible masonry made of burnt and non-burnt bricks or stone and combustible wood-beamed ceilings. The ceilings were either visible or covered with plaster usually applied to the reed mats. Roof load-bearing structures contained roof trusses with wooden purlins statically independent on the last floor ceiling. Depending on the building’s ground plan dimensions, the purlin or collar systems were mostly used for small spans in folk architecture; a combination of standing saddles and hanging trusses or strut frames was used for larger spans, e.g. mansions, castles or churches.
\nThe roof space was usually naturally ventilated and had no functional use. The attic was accessible via wooden or stone single or spiral stairs due to the repairs and maintenance. The wooden ceilings and trusses as well as the dimensions of their members were based primarily on the spans they covered and empirical and technical possibilities of the builders at the time of construction. Due to the technical possibilities of the joints affecting the load-bearing capacity of the purlin system, the wooden members were dimensioned with a significant static reserve. The wooden members were usually joined by mortising or lapping, and their fire resistance was achieved by partial walling [6].
\nThe fire safety degree is determined on the basis of fire load density with dependence on the ventilation parameter, fire risk, building’s fire height and combustibility of used building elements according to Table 8 STN 730802/10. The degree of fire safety in building structures (DFSB) value is the basis for determining fire safety requirements of load-bearing and fire-separating structures given in Table 12 STN 730802/10. These requirements are compared to the current fire resistance of the existing structures.
\nThe fire resistance of the original structures can be taken from the table in STN 730821 or calculated according to Eurocodes depending on their static stress.
\nFire resistance is the ability of building structures to withstand the effect of fire. It is defined by the time during which the structures can be exposed to fire without damaging their function. The fire structures can be divided into load-bearing and non-load-bearing, in terms of their function, and fire-separating or interior load-bearing, in terms of their location in a fire compartment. If the fire-separating structure is load-bearing and located at the frontier between fire compartments, it must meet the criteria of load-bearing capacity (R), integrity (E) and thermal insulation (I) at the time of fire. If the load-bearing structure within the fire compartment is a post, it must meet the R criterion at the required time. The stability of fire structures along the building’s height must not depend on the stability of structures with lower fire resistance on lower floors. The fire resistance of fire-separating structures is determined by a test or calculation. The design and assessment of fire resistance of building structures follow a set of standards—Eurocodes EN 1991-1-2, EN 1992-1-2, EN 1993-1-2, EN 1994-1-2, EN 1995-1-2, EN 1996-1-2 and EN 1999-1-2.
\nThe fire resistance of building structures is calculated using the design procedure in terms of the requirement for the result accuracy and specific boundary conditions of a fire compartment. First, thermal analysis of a fire compartment is done, then the heat transfer into the structure and temperature development within the structure is determined, and finally the fire-separating structure is analyzed. Detailed analyses of the temperature in a fire compartment are determined by dynamic simulations and end-element methods. Simpler procedures are used to determine the temperature in a fire compartment by parametric temperature curves or nominal temperature curves. The resulting fire resistance determined according to the nominal standard curves is the standard fire resistance (Figure 2).
\nSurface temperature on fire-separating structures without surface fire protection and with fire-protective lining during standard fire [
The heat transfer within the structure for detailed solutions is determined by the end-element method; for less detailed solutions, it is determined by incremental or direct methods. Direct methods used for heat transfer are conservative and valid only to a limited extent and can be used to assess only particular elements of a fire-separating structure. The calculation is based on room temperature [7, 8, 9]. Fire resistance verification of a fire-separating structure can be done by the three following views:
\n
where tfi,d is the design time of fire resistance and tfi,requ is the required time of fire resistance.
\n\n
Rfi,d,t is the design value of load-bearing capacity of a member in fire during the time t and Efi,d,t is the design value of fire load effects during the time t.
\n
where θd is the design value of material temperature and θcr,d is the design value of critical material temperature.
\nSimplified assessment of structural elements in terms of their fire resistance is given in tables in STN 730821: 1973, which is currently valid for the assessment of building structures during construction changes. The fire resistance values of building structures are given in particular tables considering building materials and static load of the structures—walls, columns and ceilings [11].
\nThe following model example shows a fire safety solution used in the restoration of a folk house situated in the village of Vel’ké Leváre. The folk house is dated to the Hutterian culture period. It was restored with the intention of preserving its original layout including the original constructions and elements. The building has a combined structural system—the brick external walls, wooden beam ceiling and collar beam truss. It was necessary to optimize the boundary conditions of the given solution so that the consequences of a functional change regarding the current constructions could be minimal. The museum display showing the original culture was situated in the restored space after the original supporting elements, roof covering and original wall and floor surfaces had been replaced or repaired. The external wall is combined stone with bricks. There are wooden ceilings with visible beams supported by a wooden beam. This beam is embedded into the perimeter walls, and its center is supported by a column. The wooden truss has a two-level collar beam.
\nThe building’s functional use was changed in terms of fire safety—it became a museum, that is its original residential function was changed into an exhibition one. The fire load increased but only on the first floor. The required value of the fire safety degree was not changed compared to the original one. The attic spaces used as living rooms serve today only to show the original truss construction. Considering the fire height of 0 m and the combined building’s construction, the required fire safety degree is I, that is the same as in the original functional use.
\nThe fire resistance requirement for the original load-bearing and fire-separating structures was not changed after the functional change of the restored spaces. The fire resistance requirement for the load-bearing ceiling members and perimeter wall is given according to STN 73082 and is dependent on the average fire load, that is the sum of the accidental and permanent fire load, coefficients of ventilation, flammability factor and use and type of firefighting equipment. In terms of the calculated fire load pv = 66 kg/m2, the fire resistance requirement for the fire-separated structures is REI 30 (building envelope and roof), and the fire resistance requirement for load-bearing structures of a non-compact ceiling in an assessed fire compartment is R 30.
\nThe external wall is made of stone and brick and has a variable thickness of 530–630 mm. The required fire resistance for this model solution is REI 30 min.
\nIn accordance with the values given in Table 1A STN 730821, the real fire resistance of the perimeter wall is well above the required value (Table 1).
\nType of a structural member | \nThickness [mm] | \nFire resistance REI | \n
---|---|---|
Masonry walls made of solid bricks perforated up to 15% of the volume, built on mortar of 4-CSN 2430 class, loaded and non-loaded with double-sided plaster | \n>180 | \n240 | \n
Wooden beams loaded in bending, unprotected from three sides | \n140/200 | \n40 | \n
Unprotected wooden columns loaded in buckling at λ = 75, see CSN 731701 | \n200/200 | \n20 | \n
Fire resistance of the fire-separating structures according to STN 730821 [12].
As the dimensions of the assessed wooden ceiling members and column in a model solution are different from the members given in the standard, their real fire resistance is calculated according to EN 1996-1-2: 2004 Eurocode 6: Design of masonry structures, Section 1.2 general rules—fire resistance design of masonry structures.
\nIn specific cases, the fire resistance of fire-separating structures can be determined by a calculation according to EN 1996-1-2: 2004 Eurocode 6: Design of masonry structures, Section 1.2 general rules—fire resistance design of masonry structures.
\nThere is a wooden beamed ceiling above the ground plan in the model example. The ceiling material and structure are visible (see Figure 3).
\nLayout and visible ceiling in a model solution (left) and ground plan with assessed wooden truss (right).
The ceiling beams are supported by a wooden beam. The wooden beam is fastened on the load-bearing peripheral walls and supported by a wooden column (see Figure 4).
\nSupporting using a wooden beam and column (left) and ceiling wooden beam with a wooden decking (right).
The real fire resistance for load-bearing and fire-separating structures was calculated according to the methodology given in STN EN 1991-1-2: 2004; the fire resistance of wooden members was calculated according to STN EN 1995-1-2 (Eurocode 5) depending on their mechanical stress [13, 14].
\nThe real fire resistance for load-bearing and fire-separating structures is primarily dependent on their mechanical load during fire and fire load density caused by building’s operation. Determination of fire resistance for structures in a fire compartment depends on the typical fire load density per unit of floor area (qf, d), burning rate coefficient, fire risk coefficients and fire protection coefficients. Estimated fire duration in the assessed fire compartment is determined after considering the influence of structures, ventilation and active firefighting equipment.
\nThe fire resistance of wooden members affected by fire (wooden beam ceiling, column and girder) was specified using the effective cross-section method [15]. The methodology is based on the assumption that the first phase of burning wooden elements causes the surface burning and forms a carbonized layer. Such element becomes partially thermo-insulated by further thermal stress, which prolongs its fire resistance. The charring thickness is determined by the fire duration to which the element is exposed and by the charring rate. This interface or the location of the carbonized line in most coniferous and deciduous trees corresponds to the isothermal position of 300°C. After obtaining an effective cross-section, the element is assessed according to [16]. The method of reduced properties works with the residual cross-section (obtained after reading the carbonized layer) taking into account the changed strength and stiffness material properties based on the modified coefficient. In light of this assessment, all wooden load-bearing members in the assessed fire section of the museum met the required fire resistance without additional structural modifications.
\nThe assessment of ceiling supporting members in terms of static load at a room temperature is given in Table 2. Table 3 gives the assessment of supporting ceiling members in terms of static and fire load during a standard fire [17].
\nNo | \nMember | \nb [mm] | \nh [mm] | \nMy,Ed [kNm] | \nMz,Ed [kNm] | \nNEd\n\n1\n [kN] | \n\n | \n
---|---|---|---|---|---|---|---|
1 | \nCeiling beam | \n200 | \n250 | \n6.35 | \n0.63 | \n0.53 | \n0.6 | \n
2 | \nRoof girder | \n300 | \n270 | \n14.64 | \n−0.16 | \n15.8 | \n0.6 | \n
3 | \nColumn | \nd = 230\n2\n\n | \n0.11 | \n1.30 | \n55.50 | \n0.6 | \n
Parameters of static load of wooden ceiling supporting members at the room temperature.
Positive sign (+) means tensile force; negative sign (−) means compression force.
The average column diameter at its narrowest spot.
where: ηfi—reducing factor for combined load. As simplification it is possible to use the value 0.6 (according to STN EN 1995-1-2).
No | \nMember | \nb [mm] | \nh [mm] | \nMy,Ed,fi [kN] | \nMz,Ed.fi [kNm] | \nNEd,fi [kN] | \nσm,y,d,fi [MPa] | \nσm,z,d,fi [MPa] | \nσc(t),0,d,fi [MPa] | \nAssessment bend + pressure (bend + tension) | \n
---|---|---|---|---|---|---|---|---|---|---|
R30 | \n||||||||||
1 | \nCeiling beam | \n200 | \n250 | \n3.81 | \n0.38 | \n0.32 | \n3.454 | \n0.544 | \n0.011 | \n0.15 < 1.0 meets | \n
2 | \nRoof girder | \n300 | \n270 | \n8.78 | \n−0.10 | \n9.05 | \n5.118 | \n0.050 | \n0.180 | \n0.23 < 1.0 meets | \n
3 | \nColumn | \nd = 230\n2\n\n | \n0.07 | \n0.78 | \n33.30 | \n0.142 | \n1.676 | \n1.502 | \n0.16 < 1.0 meets | \n
Parameters of static load of wooden ceiling supporting members at the standard fire temperature.
The average column diameter at its narrowest spot.
\n1Positive sign (+) means tensile force; negative sign (−) means compression force.
For material characteristics the following are considered: kfi, coefficient of solid timber, kfi = 1.25; kmod,fi, modification factor for fire, kmod,fi = 1.0; and γM,fi, partial factor for timber in fire, γM,fi = 1.0. For the calculation of charring depth, the following are considered: βn, notional design charring rate under standard fire exposure, βn = 0.8 mm/min (for solid timber); k0, coefficient for non-protected surfaces, k0 = 1.0; and d0, layer thickness with assumed zero strength and stiffness, d0 = 7 mm.
\nThe structures assessed in terms of table values given in STN 730821 (see Tables 3 and 5) as well as values determined by a calculation in dependence on the current boundary conditions—static load and material characteristics of wood—meet the required fire resistance value [16].
\nIf the restoration of listed buildings is designed, its preparatory phase analyzes the current fire risk in the building. The fire risk analysis examines the current fire risk and the extent of fire-technical and organizational measures [5].
\nThe fire risk assessment can be divided into four phases:
\n\n
\n
\n
\n
The fire safety in buildings is generally a combination of passive and active measures ensuring the following points for each fire section during the fire:
Retain the carrying capacity and stability of load-bearing structures and firefighting partitions at the required time.
Reduce the development and spread of fire and smoke within the building.
Reduce the spread of fire toward the surrounding buildings through windows, roofs and burning other structures.
Enable safe evacuation of persons from the building.
Enable effective and safe intervention of fire brigades.
The building solution for a historic building whose original function is planned to be changed contains mostly:
Fire compartmentation of the building excluding concentrated fire load and reducing the open layouts going through more floors
Detection of the fire risk resulting from the building’s operation
Fire resistance assessment of existing fire separation structures considering the fire risk, fire height and combustibility of load-bearing and fire separation structures including the possible solution for their additional fire protection
Construction of protected emergency routes if it is possible; if not, it is necessary to reduce the building’s occupancy
Ensuring the accessibility of sufficient source of firefighting water and hand fire extinguishers
Construction of the safe intervention routes including access roads and boarding areas
If there are some barriers on the access roads to the building such as castle hills or impassable entrance gates, it is necessary to determine a set of construction and fire-technical measures using active elements of fire protection, e.g. stationary fire extinguishing equipment.
\nIf it is possible in terms of building’s operation, it should always be divided into several smaller fire compartments to minimize fire damage and increase the occupants’ safety during evacuation and fire intervention. If there are no complications during the fire intervention and the fire brigade arrive in the first phase of fire, then there is minor material damage found usually in the fire-affected part of the building.
\nThe separate fire compartments always include emergency routes, gathering areas, rooms with a high fire load, warehouses and technical rooms.
\nThe fire separation of an existing staircase from adjacent spaces with vertical fire load divides the building into more floors that are simultaneously fire compartments. They reduce the spread of thermal radiation and smoke within the building and relatively safe evacuation [18]. The staircases are separate fire compartments without fire risk; their layout, ventilation and air exchange frequency depend on the time required for evacuation of persons.
\nThe separate fire compartments should be all spaces with installations—air-conditioning engine rooms, boiler rooms, switch rooms, installation shafts as well as storage areas, deposits, etc.
\nIf the spaces are modified for housing, accommodation, hospital or meeting, they must be divided into the fire compartments. Each dwelling unit must be a separate fire compartment; the same is valid for bed sections in hospital, hotel rooms or meeting rooms and museums, exhibition halls, theaters, etc. Any room or fire compartment containing more than 200 people is considered to be a meeting room. There are no exceptions allowed, and it is always necessary to reach an agreement between the fire safety requirements and building conservation.
\nThe multistory fire sections require higher fire resistance of building structures than single-story ones, as the fire load is concentrated on the first floor. If fire occurs, it is supposed that the entire building will burn at the same time. The building structures are required to withstand thermal stress without breaking their stability and integrity throughout the fire of the entire building, that is longer than the single-story fire compartment. Finance that are saved by reducing the fire-separating structures such as doors, ceilings, etc. are usually used to ensure the fire resistance of the existing structures if they are composite and combustible. Such solutions absolutely do not respect property protection and safety of persons in the building. If fire damage is to be minimized, the building must be divided into fire compartments. The maximum area of fire compartments depends on the combustibility of the structure, number of floors and coefficient of combustible substances.
\nThe fire safety solution in historic buildings whose original function is changed depends on the extent of construction modifications and planned functional use of the original spaces. If the functional use of historic buildings is planned to be changed, the real fire risk related to the planned operation should be taken into account. The fire risk is specified for each fire compartment. Its value depends on the combustibility and heating capacity of materials used in particular spaces depending on their functional use, coefficient of combustible substances, ventilation and active fire safety equipment. It is calculated from the relation:
\nwhere qf, k is the fire load density per floor area unit MJ/m2; m is the burning rate coefficient; δq1 is the fire danger; δq2 is the fire danger; and δqn is the function of active fire-protective measures (δqn1–δqn2 automatic fire extinguishers, δqn3–δqn5 automatic fire alarms).
\nThe fire load density expresses the probable fire intensity in the fire compartment or its part.
\nFire load can be determined by a calculation from relation (5) or from statistical values; examples for selected types of operations are given in Table 1 (source EN 1991-1-2 and comparison with parameters STN 920201-1).
\nFire load Q in a fire compartment is defined as the total energy that can be released in fire occurrence. One part of the total energy will be used to heat the space (walls and internal gas); the rest of the energy will be released through openings—building elements such as wall and ceiling linings. The building content such as furniture is the fire load. Fire load Q divided by the floor area gives the fire load density qf. Typical fire load density in EC 1 is defined by the equation [10]:
\nwhere Mi is the mass of material i [kg]; Hui is the net heating value of material i [MJ/kg]; mi is the factor describing combustible properties of material i; Ψi is the factor assessing protected fire load of material i; and Af is the floor area of the fire compartment [m2].
\nHuiMi represents the total amount of energy that is contained in material i and released if combustion process is complete. Factor “m” is a non-dimensional factor between 0 and 1 representing combustion efficiency: m = 1 corresponds to complete combustion, and m = 0 if materials do not contribute to fire. The value of m = 0.8 is suggested for standard materials; the value of Hu = 17.5 MJ/kg is suggested for wood, resulting in 14 MJ/kg for (m.Hu).
\nCommon building designs supposing the use of similar material quantities with the same heating capacity in installations can work with the statistical value of typical fire load density, as defined in EN 1991-1-2; if the designs are done in Slovakia, they follow Table A1 STN 730802. The value of accidental fire load stated in this standard is the weight of wood in kg calculated per unit of the floor area of fire compartment in m2, whose heating capacity is the same as heating capacity of all combustible materials in this area. Table 4 shows the data comparison.
\nDensities in mega-joules per square meter | \nPn conversion from EK (16,75) 80% fractile | \nPn value from Table A1 in STN 730802 | \n||||
---|---|---|---|---|---|---|
Occupancy | \nMean (MJ/m2) | \nPercent fractile\n*\n\n | \n||||
80 | \n90 | \n95 | \n\n | \n | ||
Dwellings | \n780 | \n870 | \n920 | \n970 | \n52 | \n40 | \n
Hospitals | \n230 | \n350 | \n440 | \n520 | \n21 | \n20 | \n
Hotel rooms | \n310 | \n400 | \n460 | \n510 | \n24 | \n30 | \n
Offices | \n420 | \n570 | \n670 | \n760 | \n34 | \n40 | \n
Shops | \n600 | \n900 | \n1100 | \n1300 | \n54 | \n90 | \n
Museums | \n300 | \n470 | \n590 | \n720 | \n28 | \n60 | \n
Libraries | \n1500 | \n2250 | \n2550 | \n--- | \n134 | \n120 | \n
Schools | \n285 | \n360 | \n410 | \n450 | \n22 | \n25 | \n
Comparison of the fire load density values in different occupancies according to the data given in EN 1991-1-2 and Table A1 STN 730802.
The percent fractile is the value that is not exceeded in that percent of the rooms or occupancies.
Conversion factors: 1 MJ ≈ 0.948 BTU, 1 m2 ≈ 10.8 ft2.
The functional change of the original spaces changes the fire risk and number of persons. The change of building’s fire height, e.g. by roof extension, changes the original building’s fire height, fire protection requirements and evacuation plans. An increasing number of persons in the building change the requirements for the capacity and ventilation of emergency routes as well as the fire resistance of fire separation structures. Therefore, it is very important for the investment plan (as for space function and useful floor area extension) to be optimized in such a way that the original boundary conditions would not be changed fundamentally in terms of fire safety and would not require additional significant alternations to the building structures affecting their historic value.
\nThe fire resistance requirements for building constructions specified in STN 73 0802 are directly dependent on calculated fire load, building’s fire height and combustibility of constructions used in a building. It is optimal to prefer operations with a calculated fire load up to 50 kg/m2 if the function of restored buildings containing mostly composite construction systems was changed. This value considers the operational fire load, surface finishes, effect of ventilation and fire-technical equipment. Classrooms, hotel rooms, coffee bars, offices or galleries are classified as spaces with medium fire load (medium fire development) (see Table 5).
\nOriginal functional use of buildings, fire height | \nFunctional usability | \nFire hazard | \nDFSB STN 730802 | \nRequirements for fire-separating structures in the composite construction unit on the first/last floor | \n||||
---|---|---|---|---|---|---|---|---|
a | \npv (kg/m2) | \nWalls | \nCeilings | \nRoof | \nFire dampers | \n|||
REI | \nREI | \nREI | \nEI, EW | \n|||||
Churches, fh = 0 m | \nGalleries | \n1.2 | \n18 | \nI. | \n30/15 | \n30/15 | \n15 | \n30/15 | \n
Museums | \n1.1 | \n66 | \nI. | \n30/15 | \n30/15 | \n15 | \n30/15 | \n|
Concert halls | \n1.1 | \n33 | \nI. | \n30/15 | \n30/15 | \n15 | \n30/15 | \n|
Cloister premises, fh ≤ 9 m | \nLibraries | \n0.7 | \n84 | \nIV. | \n90/60 | \n90/60 | \n60 | \n60/D1 | \n
Coffee bars | \n1.2 | \n37 | \nIII. | \n60/45 | \n60/45 | \n45 | \n45/30 | \n|
Accommodation, apartment buildings | \n1.0 | \n40 | \nIII. | \n60/45 | \n60/45 | \n45 | \n45/30 | \n|
Administration | \n1.0 | \n40 | \nIII. | \n60/45 | \n60/45 | \n45 | \n45/30 | \n|
Education | \n0.9 | \n22 | \nII. | \n45/30 | \n45/30 | \n30 | \n30/30 | \n|
Gallery | \n1.2 | \n18 | \nII. | \n45/30 | \n45/30 | \n30 | \n30/30 | \n|
Museums | \n1.1 | \n66 | \nIII. | \n60/45 | \n60/45 | \n45 | \n45/30 | \n|
Hotels | \n1.0 | \n30 | \nIII. | \n60/45 | \n60/45 | \n45 | \n45/30 | \n|
Castles, mansions, fh ≤ 12 m | \nGalleries, museums | \n1.1 | \n66 | \nIII. | \n60/45 | \n60/45 | \n45 | \n45/30 | \n
Hotels | \n1.0 | \n30 | \nIII. | \n60/45 | \n60/45 | \n45 | \n45/30 | \n|
Club spaces | \n1.1 | \n33 | \nIII. | \n60/45 | \n60/45 | \n45 | \n45/30 | \n|
Townhouses, villas, palaces, fh ≤ 12 m | \nKindergartens | \n0.9 | \n32 | \nIII. | \n60/45 | \n60/45 | \n15 | \n45/30 | \n
Hotels, apartment buildings | \n1.0 | \n30 | \nIII. | \n60/45 | \n60/45 | \n45 | \n45/30 | \n|
Administration | \n1.0 | \n40 | \nIII. | \n60/45 | \n60/45 | \n45 | \n45/30 | \n
Optimization of functional changes in historic buildings in terms of fire protection requirements for original structural elements according to STN 73 0802/2010 and 2015.
fh—building’s fire height; pv—calculated fire load in kg/m2 (the average fire load value of the entire fire compartment); a—coefficient of combustible materials (burning rate) (Table A1 STN 730802); b—coefficient of ventilation efficiency (ventilation rate); REI—time in minutes (minimal time during which the criteria for load, stability and integrity of thermal insulation are met); EI—time in minutes (minimal time during which the criteria for integrity of thermal insulation are met); EW—time in minutes (minimal time during which the criteria for insulation integrity guided by radiation are met); DFSB—degree of fire safety of building structures (expresses the summary of technical requirements for fire-separating structures).
Calculated fire load is determined by the relations:
\nwhich depends on: pn—accidental fire load from furnishings given in Table A1 STN 730802 [19]; ps—stable fire load from windows, doors, floor and wall coverings given in Table A1 STN 730802; and a—coefficient of combustible materials (burning rate),
\nwhere an is given in Table A1 STN 730802, as is 0.9 and b is the coefficient of ventilation efficiency (ventilation rate),
\nwhere S is the floor area of fire compartment; So is the total window area in fire compartment; ho is the average window height in fire compartment; k is the coefficient determined according to Section 4.5.4. STN 730802; and c is the factor of fire safety equipment efficiency,
\nwhere c1 is the coefficient of fire detection (see Table 2 STN 730802); c2 is the coefficient of fire brigade intervention (see Tables 3 and 4 STN 730802); c3 is the coefficient of fixed fire extinguishing system (see Table 5 STN 730802); and c4 is the coefficient of automatic fire sprinklers (see Table 6 STN 730802)
\n\nTable 5 gives the calculated fire load of a typical fire compartment considering the most common use of space in historic buildings whose function was changed during their use. Model examples considered medium ventilation effect with the coefficient value b = 1. As the most historic buildings do not contain active fire safety equipment, all calculations considered the coefficient value c = 1. Subsequently, DFSB is determined depending on the calculated fire load value, combustibility of structures in the fire compartment and the building’s fire height (see Table 8 STN 730802). DFSB expresses the summary of technical requirements for fire-separating structures; required minimum fire resistances of fire-separating structures are taken from Table 12 STN 730802.
\nIf building conservation and finance costs are taken into account, it is not possible to carry out every functional change in listed buildings. The building can be classified as unsuitable if fire safety cannot be ensured with reasonable economic and operational costs. The new functional use must not reduce the existing fire safety. In general, listed buildings renovated by using only technical solutions cannot have any functional use. It is optimal for listed buildings to have as low fire risk as possible in terms of fire safety and subsequent fire safety measures [20].
\nPeople evacuated from a burning building are endangered by toxic gases released during combustion, flame, high temperature, smoke and lack of oxygen. The safe evacuation depends on the building’s division into fire compartments using fire-separating structures. Their design is based on the assumption that fire will occur in a fire compartment so people present in other fire compartments will not be exposed to fire. The building’s division into fire compartments is done in such a way that the life and health loss would be minimal or none. Fire-separating structures in fire compartments should prevent fire and its products from spreading. Separate fire compartments always form protected emergency routes.
\nFire compartmentation in historic buildings is often limited due to the building conservation. This fact has a major impact on the safe evacuation. Open staircases, galleries and non-solid ceiling structures help fire spreading within such buildings. Thermal radiation, toxic gases and smoke are spread throughout the building. The fire intensity and time are increased by combustible materials in built-in ceilings, columns, staircases, wall facings and insulations of technical installations. This affects the safety and speed of people’s movement within the affected fire compartment on unprotected emergency routes.
\nSafety and fluency of evacuation in historic buildings with original layout and functional use is often limited by:
Open staircases—unprotected emergency routes with limited evacuation time and no other evacuation staircase
Partially protected existing narrow spiral or ladder stairs limiting the speed of people’s movement that can be used by a limited number of persons during evacuation
Missing exits from stairs leading to an open area outside the building
Limited number of exits leading to an open area through locked doors without automatic opening during fire in single-story buildings
Missing other emergency routes—an absence of other staircases or alternative escape possibilities through windows, ladders, etc.
Insufficient capacity of escape lanes—inwards opening doors narrowing the escape lane and slowing the people’s movement speed
These circumstances cause the time for evacuation to be longer, people’s safety to be lower and the risk for firefighting brigade to be higher.
\nThe fire development and spreading is a function of time, that is time is crucial for evacuation of people or historic exhibits. Fluent evacuation is conditioned by the number and quality of emergency routes in terms of ventilation, slope, width and number of evacuated persons. Their ventilation and number depend on the building’s fire height and the number of evacuated persons. There should be at least two emergency routes available for evacuation in every space; there is significantly better chance of people’s survival in spaces directly affected by fire. Evacuated persons can use the emergency route that is less affected by fire.
\nStaircases are used to evacuate people between floors in buildings. According to STN 730802 and the time required for safe evacuation, staircases can be divided into unprotected, partially protected and protected emergency routes.
\nUnprotected routes are open staircases and those located within the fire compartment. Partially protected routes are staircases with fire-separating structures preventing the heat and smoke from spreading and those that are not adequately ventilated. Internally enclosed staircases without natural ventilation are the most common. Protected routes are staircases with fire-separating structures preventing the heat and smoke from spreading and natural or artificial ventilation. Routes of type A with natural or forced ventilation with a maximum evacuation time of 6 min are sufficient for historic buildings with the fire height up to 22.5 m. The ventilation requirement is ten times the air change per hour.
\nThe change of building’s functional use and fire load usually results in an increasing number of persons in building compared to the original solution. The evacuation conditions are also changed if the building’s fire height is changed, e.g. due to the addition of one or two floors into the attic. Since both cases fundamentally affect the evacuation conditions, it is necessary to check the original emergency routes and modify so that they would be suitable for the new number of evacuated persons or longer emergency route.
\nHere is the solution example of a model building. The new owner of a manor house changed the building’s functional use and fire height by adding a floor into the unused attic space. The manor house is a typical baroque building with a U-shaped ground plan. The manor house had originally three above-ground floors with a mansard roof. The building once served as a residence of a noble family. After restoration, it will serve as a hotel. There are social spaces containing inner halls, smaller salons, restaurants, kitchen and sanitary operational background on the ground floor and first floor. Hotel rooms with technical and operational facilities are located on the upper floors (see Figure 5).
\nEmergency routes on the first floor leading to an open area in a model solution of the restored manor house.
Each side wing contains one double-wing staircase that was originally open and classified as unprotected at the time of evacuation. Designed building’s alternation by hotel rooms built in the attic changed building’s fire height and extended staircases beyond the allowable dimensional limits defined in Table 16 STN 730802. It was necessary to alter existing staircases in the side wings. The staircases on each floor were fire-separated from the other fire-loaded spaces and ventilated through existing windows facing the inner courtyard (see Figure 5).
\nTo achieve higher fire safety in historic buildings whose functional use was changed, it is recommended to optimize the fire risk considering combustibility of building structures and building’s fire height. Authors J. Li, H. Li, B. Zhou and X. Wang in their work “Investigation and Statistical Analysis of Fire Load of 83 Historic Buildings in Beijing” analyzed the fire load in timber historic buildings where the primary requirement of the restoration was the optimization of accidental fire load [20].
\nThe building should be divided into fire compartments if it is acceptable in terms of the building conservation. If it is possible, another emergency route with direct ventilation should be created. This route would also serve for firefighting intervention. The large roof spaces should be divided into smaller units using fire-separating walls overlapping the roof by at least 300 mm. An accidental fire loads should be excluded from the attic space. All attic entrances should be provided with self-closing fire doors. Interventions into the original floors should be reduced.
\nHidden cavities in the floors should be analyzed in the project documentation due to the load-bearing capacity during the fire intervention as well as in terms of the occurrence of hidden fire caused by short circuits in electrical installations. All cable entries, pipes and anchoring of heavy chandeliers through ceilings should be carefully fire-sealed. The copper roofing on wooden decking or wooden shingles should be replaced with non-combustible roofing made of burnt tiles or slate—see an example of the castle of Krásna Hôrka. The baroque buildings on the Svatá Hora near the town of Příbram in the Czech Republic underwent a similar restoration after a large fire in 1798. The fire affected buildings’ wooden roofs as in Krásna Hôrka. The original wooden shingles were replaced by ceramic tiles after fire. The roof spaces in buildings of significant historic importance should be equipped with an automatic fire alarm system, ideally supplemented with an automatic fire extinguishing system. An example of such solution is the protection of the supporting truss members in St. Vitus Cathedral in Prague, Czech Republic. There is an electrical fire alarm and automatic sprinkler fire extinguishing system installed in its roof space.
\nThe spaces containing visible combustible load-bearing and fire-separating structures should be equipped with an automatic fire alarm system. Water sources that can be used for fire extinguishing should be sufficient and located near the building. Accessibility of water sources is often complicated in historic buildings. One of the possibilities is the use of water tanks with 10 m3 capacity equipped with a 50-m-long fire hose [21].
\nAccess roads should be verified and optimized within natural possibilities. It is important for the building’s operation and its fire safety to have functional firefighting equipment and fire-trained staff so that the risks associated with building’s restoration and maintenance can be minimized [22, 23, 24].
\nThe current fire documentation should be elaborated and updated so as to provide sufficient information on the evacuation plans for persons and exhibits, building’s structural design, firefighting water sources and technical condition of access and emergency roads.
\nThe work is published with the financial support of the project VEGA 1/0248/19. The work presents knowledge from the author’s design practice.
\nSEM is a multivariate method whose use has grown exponentially in medicine and health sciences. The SEM is a statistical method considered as a causal model that includes, among other techniques, the Linear Regression Model (LRM), Factor Analysis (FA), Confirmatory Factor Analysis (CFA), and Path Analysis. This statistical model can help the researcher to test or confirm theoretical models or hypotheses and validate causal relations between variables, which can be latent and observed, or only between observed variables.
When a researcher is interested in investigating the causal relationships between a grouping of variables that define a factor or latent variable, he is interested in proving or confirming (or discontinuing) that his hypothetical model is appropriate for the data analyzed.
As a result, the researcher has the following options: a) when the hypothetical model is confirmed by the analyzed data, he can include new elements to the original model and then analyze that new structure; b) when the hypothetical model is not appropriate for the analyzed data, the original model can be modified or a new model can be tested.
Pearl cited by Kline [1] defines SEM as a causal method that considers as input (a) a set of qualitative causal hypotheses based on theory or the results of empirical studies represented by a set of equations, (b) a set of questions about the causal relationship between factors or latent variables of interest. Many SEM applications focus on non-experimental or observational designs and data from quasi-experimental or experimental designs.
SEM models assume probabilistic causality. This allows changes in the results to occur with a probability between 0 and 1.0. The estimation of effects using the data is founded on probability distribution assumptions; thus, causality is understood as a functional relationship between two quantitative variables, effects change a probability distribution. Causality assumptions for a researcher in Medicine and Health are done through a synthesis of logic, theory, and prior knowledge, in this way the causal relationship between observed and latent variables is conceptually hypothesized with expert clinical judgment [2].
The SEM includes observed or manifest variables, latent variables, errors or disturbances, and parameters. There are two main ways to communicate and understand the equations that the SEM represents: through simultaneous equations or by a path diagram. A path diagram is a visualization of the conceptual model, and a conceptual model is an idea of the relationship under study. Behind the ideas of causal inference are Bayesian networks and causal graphs; for example, a causal directed graph can include, common causes, whether measured or unmeasured variables.
Observed variables are measured and recorded in the data (e.g. sex, age, height, weight, systolic blood pressure, diastolic blood pressure, body mass index). In a path diagram, these variables are represented by rectangles or a box. A standardized variable is a variable that has a mean zero and a variance one. Latent variables or latent constructs are variables that are not directly measured (e.g. depression, metabolic syndrome, obesity, and anxiety). In a path diagram, they are described by circles or ovals. Observed or latent variables can be exogenous or endogenous. Exogenous variables are variables that are not influenced (not caused) by others variables in a model. This variable is the cause or effect of one or more variables in the model. Endogenous variables are those variables that are influenced by other variables. An endogenous variable can affect another variable of the same type.
Disturbances are the unspecified causes of the effect variable. Each endogenous variable is assigned a disturbance, and this is considered as a latent variable.
Effects can be direct, indirect, and totals. These effects can be represented by directed lines. The direct effect (
Indirect effect is a causal effect of an independent variable on a dependent through the pathway of a third variable. This effect is synonymous with the mediation effect. The total effect is the sum of all possible effects of one independent variable on another dependent. All the effects are estimated by various techniques from the sample data.
It is a graphical description of an SEM that includes a measurement model and a structural model, where measured or observed variables are represented by rectangles, latent variables by circles, and curved lines represent unanalyzed associations. The covariances or correlations between exogenous variables are described by a curved line with two arrowheads. The variance is represented by two-headed curved arrows on the same variable observed or latent. Here, the latent variables are treated as continuous in what we shall refer to as conventional SEM (or what is sometimes called first-generation SEM). Hypothesized causal effects or direct effects, on endogenous variables, are represented by a line with a single arrowhead.
Kline [1] on parameters of SEM, when means are not included, suggests defining parameters in words that are parallel to three symbols utilized in Reticular Action Model (RAM) symbolis a direct effect, on endogenous variables, is represented by a line with a single arrowhead; double-headed curved arrows that go out and re-enter the same variable, represent the variance of an exogenous variable; and the double-headed curved arrows entering one variable and leaving another variable to represent the covariance.
In medicine and health sciences, it is common to assess a latent variable by several observed variables, for example, obesity can be indirectly measured by the observed variables percentage of fat (FAT), body mass index (BMI), and abdominal circumference (AC) (Figure 1).
A path diagram representing the latent variable obesity measured by three observed variables: Percentage of FAT (FAT), body mass index (BMI), and abdominal circumference (AC).
In medicine and health sciences, it is common to use one of the four types of SEM that exist in the literature. Next, each one is briefly described.
The path diagram above represents the indirect effect between FAT and LV diastolic dysfunction, and the path diagram below shows the direct effects of socioeconomic status and obesity, and between disease and obesity [
The causal relationships between latent variables are represented by the directional arrows according to the hypothetical model. Typically, model fit indices are examined first, followed by hypothesis tests. The latent growth curve model is a statistical technique of longitudinal analysis that estimates or explains the growth over a period of time.
In this chapter, we will only address the Structural Regression Model.
This part of the path diagram is necessary to analyze all the items or observed variables that are “loaded” in the latent variable, their variances, and errors, as well as the relation between the observed variables.
The measurement model quantifies linkages among the latent variables and observed variables that characterize the hypothetical model.
The latent variables are representations of the concepts of interest. Previously the concept is selected, Bollen [4] recommends for the measurement process: (1) Determine its meaning, (2) Represent it with latent variables, (3) Form measures, and (4) Establish the relation among latent variables and measures variables.
The measurement model analyzes the relation between the measure and latent variables. The latent variable is the representation of a concept. This relation can be described or represented by an equation or in a path diagram (Figure 3).
A path diagram of the CFA model on Matsuda index with 11 observed variables: Percentage of FAT (FAT), body mass index (BMI), abdominal circumference (AC), arginine (ARG), glycine (GLY), leucine (LEU), phenylalanine (PHE), valine (VAL), liver ultrasound (USG), alanine aminotransferase (ALT), aspartate aminotransferase (AST); and 3 latent variables: Amino acids (AA1), fatty liver, and obesity [
The CFA is a method for evaluating a measurement model. Klein [1] mentioning Bollen suggests applying some rules to ensure the identification of the measurement model re specifying it as a CFA. When it comes to a CFA, a factor must have at least three observed variables, when there are two or more factors or latent variables each factor must have at least two observed variables.
The path diagram of structural regression (SR) includes the set of latent variables and their relationships. Unlike the measurement model (CFA) where all the factors or latent variables are exogenous and can be assumed to covary or have a dependency, the causal effects between latent variables are described only in the SR. Causal inference in latent variable modeling is more laborious than measurement model analysis. In SR models the effects between latent variables can also be direct or indirect. Similarly, the structural component can also be recursive or non-recursive. A recursive SR is a model in which causation is directed in one single direction, while a non-recursive structural model has causality going in both directions on some variables.
Identification of the SR model is analogous to the identification of the measurement model. However, before validating the SR, the measurement model needs to be identified (i.e., valid) and then evaluate the fully SEM model. The only valid identification of the CFA does not guarantee the identification of the SR.
Therefore, the analysis of a fully SEM must include the variances and covariances between the factors or latent variables A fully SR model is identified by [4]: (1) In the first, the researcher must analyze the measurement model as a CFA, that is, ignore in the analysis the relations among the latent variables of the SR model. After reformulating the model, discover if the model is identified. If identification is obtained, apply it to the second step; (2) in the second step, you must analyze the equation or equations that contain the relation among the latent variables of the SR model must be analyzed and then determine if the SR model is identified, assuming that the latent variables are observed variables. If in step 1 it is proved that the measurement parameters are identified and in step 2 that the parameters of the SR are also identified, both conditions are sufficient to fully identify the SR model. Figure 4 shows a path diagram of a complete SEM, which includes 9 observed variables and two latent variables. The objective is to analyze the relationship among central obesity (FAT), systemic inflammation (Inflammation), and left ventricular diastolic dysfunction (LV diastolic). This figure does not show the variances or the disturbances or errors.
SEM to analyze relationships between adiposity, inflammatory responses, LV diastolic dysfunction. Fasting plasma glucose (FPG); high-density lipoprotein (HDL); homeostasis model of insulin resistance (HOMA); high sensitivity C-reactive protein (hsCRP); peritoneum fat area (Peri fat); retroperitoneum fat area (retro fat); subcutaneous fat area (sub fat); triglyceride (TG). The latent variable FAT directly influences the inflammation variable and indirectly on the observed variable LV diastolic [
The basic goal of SEM is to generalize the CFA to assess relationships between latent variables [7]. A classic form of SEM representation is the LISREL model which involves a measurement model and a structural model. The measurement model defines the relationship between the latent variables and their indicators or observed variables, and the structural model defines the relationship between the latent variables. In this section, we will address the linear SEM model and the nonlinear case.
The measurement equations are:
In Eq. (1),
In summary, the object of the measurement model is to analyze the relation of the latent variables in
The structural equation for linear SEMs is:
The structural equation for nonlinear SEMs is:
where
When the complexity of the SEM increases, the sample size must also increase, and when the data depart from the normal distribution it is essential to increase the number of observations [1]. The non-normality assumption can be detected by univariate tests, multivariate tests, and skewness and kurtosis statistics. The skewness and kurtosis can be measured, separately or together in the same variable. In the context of SEM, the kurtosis is more problematic than skewness in terms of the effects on inference. If the absolute value of the skewness exceeds 2 and kurtosis exceeds 4, then the distribution is non-normal [8].
Let
where the matrix
Note that this matrix does not depend on observed or latent variables but on the matrices of unknown parameters
where
The ML estimator has among others the following advantages: is asymptotically consistent, unbiased, efficient, and the model fit statistic
Two other estimation methods that consider endogenous variables with MVN distributions are generalized least squares (GLS) and unweighted least squares (ULS), which are described below.
In general, the ML estimator is preferred over both GLS and ULS, especially when the number of observations is large.
GLS estimator requires well-specified models but allows small sample sizes to do an acceptable job in terms of theoretical and empirical fit. WLS estimator also requires well-specified models, but in contrast to GLS and ML, it also requires large sample sizes to perform well [14]. In general, the ML estimator is preferred over both GLS and ULS, especially when the number of observations is large.
The SEM tests a hypothetical theoretical model about the relation among latent and observed variables, the goal of model evaluation consists in test the causal relationships of a model. There are several criteria for evaluating the fit of an SEM, so it is difficult to adopt a single specific model fit criterion. The researcher generally uses three criteria to assess the statistical significance and the substantive significance of a hypothesized model [15]:
The non-significance of the chi-square test indicates that the proposed model fits the data.
The statistical significance of individual parameter estimates is applied as a t or z value, and are compared to a t or normal distributions.
The magnitude and direction are positive or negative of the parameter estimates.
Kline [1], Schumacker and Lomax [15], Thakkar [12] and Douglas [2] provided indices and criteria for evaluating the fit of the model. This chapter only presents some indices: A statistical test and four basic fit statistics criteria.
Chi-square
This statistic is based on a function of the fitting function
where
Root Mean Square Error of Approximation (RMSEA) and its 90% confidence interval.
The RMSEA is a function of
where
The Comparative Fit Index (CFI).
Let
Goodness of Fit Index (GFI)
GFI is the amount of variances and covariances jointly accounted for by the model. It is given by:
GFI varies from 0 to 1.0.
Standardized Root Mean Square Residual (SRMR).
SRMR is an absolute fit index that is a badness-of-fit statistic that consists of standardizing the Root Mean Square Residual (RMR). It is a measure of the mean absolute covariance residual. An SRMR = 0 means an ideal model fit, and increasingly higher values indicate a worse fit [1].
In Table 1 a summary is given about the interpretation of the most important goodness of fit indices.
Model fit value | Rule of Thumb Guidelines | ||
---|---|---|---|
Absolute fit indices | Excellent | Acceptable | |
Chi-square | Smaller values | ||
CFI | |||
RMSEA | |||
SRMR |
Guidelines in SEM for select model fit statistics and indices [2].
To illustrate the application of the packages lavaan of the R software, data from a study carried out in a Public Maternal Hospital in the state of Guerrero, Mexico, are used. The database corresponds to a cross-sectional study of pregnant women who presented to the emergency department of the Maternal Hospital with a clinical picture compatible with an obstetric emergency [16]. Two groups of patients were constituted, one group was treated from January 2009 to December 2011, which corresponds to the period before the implementation of a process called Red Code (Before RC), which is aimed at pregnant women with obstetric emergency situations; and another group of patients treated from September 2013 to December 2015, in which the Red Code (RC) procedure was implemented. The observed variables are the same for both cases, and the number of observations for the RC period is 106 and 230 for Before RC. The code and analysis presented below correspond to data from the CR period. For the Before CR case, it is a similar way. Since these are two different data sets, it is not possible to apply an analysis of variance. Therefore, to compare the results of the studied models, only the fit indices and the coefficients of factor loadings and regression are compared.
SEM is based on the variance/covariance matrix of the observed variables. However, when the observed variables present very different variances, it is suggested to use the correlation matrix. The R software is available on GNU GPL (General Public License) on the CRAN website (Comprehensive R Archive Network) https://CRAN.R-project.org [17]. To implement SEM using the lavaan [18] package, you first need to install it using the instructions:
In this data set, the opinions of the expert medical personnel assigned to the Maternal Hospital are considered to determine the following latent variables and observed variables: First Hemodynamic State (FHS) is made up of the variables observed: Temperature (Tm1), heart rate (HR1), blood pressure (BP1), respiratory rate (BF1) and the number of seizures (NC). The latent variable Second Hemodynamic State (SHS) is made up of the observed variables: Temperature (Tm2), heart rate (HR2), blood pressure (BP2), respiratory rate (BF2). Gyneco-obstetric background (OGH) is measured by the variables number of abortions (NumAb), number of cesarean sections (NumCa), weight of the pregnant woman (PW), and number of vaginal deliveries (NVD). Treatment (Treat) formed by Plasma (PLAS), platelets (PLAT), and erythrocyte concentrates (EC).
Results of the Emergency Obstetric Care (Remoc) that measure the consequences of the actions carried out in the RC process, which are the number of sequelae (NumS), the weight of the newborn (NW) in kilograms, and the weeks of gestation (GW).
In this example, it applies the function SEM of library lavaan, which uses the correlation matrix,
The estimation method used in this example is the maximum likelihood method. To obtain results, it is common to use the function
It is common that before interpreting the results of the fitted model, it is necessary to verify that the fit is suitable. Table 2 presents the results of chi-square, degrees of freedom, p-value and some fit indices to make decisions about evaluating the fit of the model for Before RC and RC case.
Before RC | RC | Reference | |
---|---|---|---|
Chi-square | 295.5 | 156.0 | |
p-value = 0.00 | p-value = 0.216 | ||
CFI | 0.803 | 0.915 | |
RMSEA | 0.068 (0.057–0.079) | 0.029 (0.000–0.056) | 0.05–0.08 |
p-value = 0.004 | p-value = 0.887 | ||
SRMR | 0.078 | 0.087 | |
AGFI | 0.852 | 0.827 |
Goodness of fit indices for the two SEMs.
The chi-square results for the case of RD period are better than those of Before RD. Because the chi-square statistic is sensitive to sample size, correlation size, and non-normality, it is suggested that other adjustment indices be used. However, since there is no consensus on which goodness of fit index is the best to use, several of the indices available in the lavaan library of the R software are used here. The results of the goodness of fit indices: (a) CFI: 0.915 for RD is greater than 0.803 for Before RD, and is greater than the reference value (
Finally, the values of AGFI for both periods Before RD and RD are close to the reference value of 0.90. In summary, according to the General Rules Guidelines in the SEM literature for selecting indices and model fit statistics, cited by [1, 2], these results indicate a good fit of both models, in particular, for the RD case.
The interpretation for FHS is as follows: in the Before RC period, when the FHS increases by one unit, then BP1, BF1, HR1, Tm1, and NC increase by 1.0, 1.41, 1.73, 1.33, and 0.55, respectively. While for the RC period, when FHS increases by one unit, then BP1, HR1, and Tm1 increase by 1.0, 4.4, and 0.10, respectively, but BF1 and NC decrease by 1.76 and 1.98, respectively. The interpretation of the other latent variables is done in a similar way.
The observed variables that have the greatest impact or effect on each latent variable in the measurement model are: (a) In FHS: BF1 in both periods Before RC and RC (1.41 and − 1.76, respectively) and HR1 for Before RC (1.73) and for RC (4.40).
Additionally, all the factor loadings for Before RC are Significant, while for the RC period are Not Significant; (b) In SHS: All factor loadings have similar effects in both periods and also resulted in NS; (c) In OGH: the effect of NVD increased from 2.58 for the Before RC period to 30.96 for the RC period. In contrast, the effect of NumAb decreased from 0.84 for Before RC to −6.99 for period RC. However, all loads resulted in NS in both periods; (d) In Treat: The effect of the PLAS variable increased from 0.95 of the Before RC period to 1.48 of the RC period. In this latent variable, all factor loadings were significant in both periods; and (e) In Remoc: the effects of the observed variables NW and GW increased from the Before RC period to the RC period from −13.85 to 5.65 and from −18.22 to 5.14, respectively; however, all factor loadings were NS.
Although the results presented in Table 3, for the structural model, in both periods, are not significant, it can be said that: (a) when OGH increases one unit, then FHS increases 0.11 units in the Before RC period, but decreases by 1.27 units in the RC period; (b) When FHS increases by one unit, then SHS increases by 1.23 units in the Before RC period, but decreases by 0.25 units in the RC period. In a similar way, the other interpretations of the results of the structural model are made in both periods.
Measurement model | Structural model | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
LV | Before RC | RC | LV | Before RC | RC | |||||
FHS = | FHS | |||||||||
BP1 | 1.000 | 1.000 | OGH | 0.111 | NS | −1.270 | NS | |||
BF1 | 1.410 | *** | −1.755 | NS | SHS | |||||
HR1 | 1.729 | *** | 4.401 | NS | FHS | 1.224 | *** | −0.248 | NS | |
Tm1 | 1.333 | *** | 0.103 | NS | Treat | |||||
NC | 0.548 | *** | −1.978 | NS | OGH | 1.194 | NS | −8.185 | NS | |
SHS = | FHS | −0.182 | NS | −0.174 | NS | |||||
HR2 | 1.000 | 1.000 | SHS | 0.354 | NS | −0.251 | NS | |||
Tm2 | 0.491 | *** | 0.497 | NS | Remoc | |||||
BP2 | 0.803 | *** | 0.201 | NS | Treat | 0.010 | NS | 0.087 | NS | |
BF2 | 0.563 | *** | 0.650 | NS | OGH | −0.042 | NS | 0.478 | NS | |
OGH = | FHS | −0.062 | NS | −0.054 | NS | |||||
PW | 1.000 | 1.000 | SHS | 0.017 | NS | 0.010 | NS | |||
NVD | 2.579 | NS | 30.956 | NS | ||||||
NumAb | 0.838 | NS | −6.993 | NS | ||||||
NumCa | −0.978 | NS | 0.381 | NS | ||||||
Treat = | ||||||||||
PLAT | 1.000 | 1.000 | ||||||||
PLAS | 0.949 | *** | 1.483 | *** | ||||||
EC | 0.407 | *** | 0.531 | *** | ||||||
Remoc = | ||||||||||
NumS | 1.000 | 1.000 | ||||||||
NW | −13.848 | NS | 5.654 | NS | ||||||
GW | −18.224 | NS | 5.138 | NS |
Estimates of the measurement model and structural model for both models.
LV: Latent variable model, NS: Non significant.
*** : P(> |Z|) < 0.05. That is, a value of statistical significance less than 0.05.
Finally, it is convenient to say that although the number of observations corresponding to the Before RC (230) is greater than the total number of observations to the RC period (106), the results of the fit indices are better for the RC case.
It is quite common and useful to display the SEM results in a route diagram, for which the following semPlot package function can be used.
Figure 5 corresponds to the case of the RC period, it shows the final diagram of the model established in the model specification section, as well as the values of the estimates. Negative effects are shown in red and positive effects in green.
Diagram path of SEM for RC period.
In summary, it can be concluded that there was a positive effect on the health status of patients treated with the RC process compared to patients who were not treated. The results of this study can provide information that allows the design of hospital management strategies for pregnant women with high morbidity to improve the quality of service, but in a particular way, for the Hospital de la Madre y el Nio Guerrense they can help in the care of their service. Finally, the contribution of this proposed SEM, in addition to helping to understand the management and interpretation of the model, can help to evaluate the effects of emergency obstetric care, using some observed and latent variables.
The authors declare no conflict of interest.
Adjusted Goodness of Fit Index
Body Mass Index
Comparative Fit Index
Confirmatory Factor Analysis
Comprehensive R Archive Network
Factor Analysis
Goodness of Fit Index
General Least Squares
Linear Regression Model
Maximum Likelihood
Multiple Regression Models
Multivariate Normal Distribution
Path Analysis
Reticular Action Model
Red Code
Root Mean Square Error of Approximation
Structural Equation Models
Structural Regression
Standardized Root Mean Square Residual
Tucker-Lewis Index
Unweighted Least Squares
Linear Structural Relations
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Particular attention is paid to the purification of mesophilic SRB since they can be in close interaction with other microorganisms (Clostridium, Bacteroides, Pseudomonas, etc.), which are their frequent satellites. 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This chapter presents a review of the history of biocontrol, its advantages and disadvantages; the different types of biological control agents (BCAs) including predators, parasites (parasitoids) and pathogens (fungi, bacteria, viruses and virus‐like particles, protozoa and nematodes); the effect of biocontrol on native biodiversity; a few case studies of the successful implementation of biocontrol methods and the challenges encountered with the implementation of biocontrol and future perspectives.",book:{id:"5527",slug:"natural-remedies-in-the-fight-against-parasites",title:"Natural Remedies in the Fight Against Parasites",fullTitle:"Natural Remedies in the Fight Against Parasites"},signatures:"Tebit Emmanuel Kwenti",authors:[{id:"191763",title:"Dr.",name:"Tebit Emmanuel",middleName:null,surname:"Kwenti",slug:"tebit-emmanuel-kwenti",fullName:"Tebit Emmanuel Kwenti"}]},{id:"70336",title:"Plastics Polymers Degradation by Fungi",slug:"plastics-polymers-degradation-by-fungi",totalDownloads:1453,totalCrossrefCites:3,totalDimensionsCites:6,abstract:"The studies on plastic degradation are very important for the development of biodegradable plastics, and for reduction of pollution, since plastic waste can remain in the environment for decades or centuries. 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He completed a one-year Post-Doctoral Fellowship awarded by the DFAIT (Foreign Affairs and International Trade Canada) at the Institute of Biomedical Engineering of the University of New Brunswick (Canada) in 2010. Currently, he is Professor in the Faculty of Electrical Engineering (UFU). He has authored and co-authored more than 200 peer-reviewed publications in Biomedical Engineering. He has been a researcher of The National Council for Scientific and Technological Development (CNPq-Brazil) since 2009. He has served as an ad-hoc consultant for CNPq, CAPES (Coordination for the Improvement of Higher Education Personnel), FINEP (Brazilian Innovation Agency), and other funding bodies on several occasions. He was the Secretary of the Brazilian Society of Biomedical Engineering (SBEB) from 2015 to 2016, President of SBEB (2017-2018) and Vice-President of SBEB (2019-2020). 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Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}}]},{type:"book",id:"7123",title:"Current Topics in Neglected Tropical Diseases",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7123.jpg",slug:"current-topics-in-neglected-tropical-diseases",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Alfonso J. 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Dr. Patra serves on the editorial boards of several reputed journals.",institutionString:null,institution:{name:"West Bengal University of Animal and Fishery Sciences",country:{name:"India"}}},{id:"53998",title:"Prof.",name:"László",middleName:null,surname:"Babinszky",slug:"laszlo-babinszky",fullName:"László Babinszky",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/53998/images/system/53998.png",biography:"László Babinszky is Professor Emeritus, Department of Animal Nutrition Physiology, University of Debrecen, Hungary. He has also worked in the Department of Animal Nutrition, University of Wageningen, Netherlands; the Institute for Livestock Feeding and Nutrition (IVVO), Lelystad, Netherlands; the Agricultural University of Vienna (BOKU); the Institute for Animal Breeding and Nutrition, Austria; and the Oscar Kellner Research Institute for Animal Nutrition, Rostock, Germany. In 1992, Dr. Babinszky obtained a Ph.D. in Animal Nutrition from the University of Wageningen. His main research areas are swine and poultry nutrition. He has authored more than 300 publications (papers, book chapters) and edited four books and fourteen international conference proceedings.",institutionString:"University of Debrecen",institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"201830",title:"Dr.",name:"Fernando",middleName:"Sanchez",surname:"Davila",slug:"fernando-davila",fullName:"Fernando Davila",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201830/images/5017_n.jpg",biography:"I am a professor at UANL since 1988. My research lines are the development of reproductive techniques in small ruminants. We also conducted research on sexual and social behavior in males.\nI am Mexican and study my professional career as an engineer in agriculture and animal science at UANL. Then take a masters degree in science in Germany (Animal breeding). Take a doctorate in animal science at the UANL.",institutionString:null,institution:{name:"Universidad Autónoma de Nuevo León",country:{name:"Mexico"}}},{id:"309250",title:"Dr.",name:"Miguel",middleName:null,surname:"Quaresma",slug:"miguel-quaresma",fullName:"Miguel Quaresma",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309250/images/9059_n.jpg",biography:"Miguel Nuno Pinheiro Quaresma was born on May 26, 1974 in Dili, Timor Island. He is married with two children: a boy and a girl, and he is a resident in Vila Real, Portugal. He graduated in Veterinary Medicine in August 1998 and obtained his Ph.D. degree in Veterinary Sciences -Clinical Area in February 2015, both from the University of Trás-os-Montes e Alto Douro. He is currently enrolled in the Alternative Residency of the European College of Animal Reproduction. He works as a Senior Clinician at the Veterinary Teaching Hospital of UTAD (HVUTAD) with a role in clinical activity in the area of livestock and equine species as well as to support teaching and research in related areas. He teaches as an Invited Professor in Reproduction Medicine I and II of the Master\\'s in Veterinary Medicine degree at UTAD. Currently, he holds the position of Chairman of the Portuguese Buiatrics Association. He is a member of the Consultive Group on Production Animals of the OMV. He has 19 publications in indexed international journals (ISIS), as well as over 60 publications and oral presentations in both Portuguese and international journals and congresses.",institutionString:"University of Trás-os-Montes and Alto Douro",institution:{name:"University of Trás-os-Montes and Alto Douro",country:{name:"Portugal"}}},{id:"38652",title:"Prof.",name:"Rita",middleName:null,surname:"Payan-Carreira",slug:"rita-payan-carreira",fullName:"Rita Payan-Carreira",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRiFPQA0/Profile_Picture_1614601496313",biography:"Rita Payan Carreira earned her Veterinary Degree from the Faculty of Veterinary Medicine in Lisbon, Portugal, in 1985. She obtained her Ph.D. in Veterinary Sciences from the University of Trás-os-Montes e Alto Douro, Portugal. After almost 32 years of teaching at the University of Trás-os-Montes and Alto Douro, she recently moved to the University of Évora, Department of Veterinary Medicine, where she teaches in the field of Animal Reproduction and Clinics. Her primary research areas include the molecular markers of the endometrial cycle and the embryo–maternal interaction, including oxidative stress and the reproductive physiology and disorders of sexual development, besides the molecular determinants of male and female fertility. She often supervises students preparing their master's or doctoral theses. She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",country:{name:"Portugal"}}},{id:"283019",title:"Dr.",name:"Oudessa",middleName:null,surname:"Kerro Dego",slug:"oudessa-kerro-dego",fullName:"Oudessa Kerro Dego",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/283019/images/system/283019.png",biography:"Dr. Kerro Dego is a veterinary microbiologist with training in veterinary medicine, microbiology, and anatomic pathology. Dr. Kerro Dego is an assistant professor of dairy health in the department of animal science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. He received his D.V.M. (1997), M.S. (2002), and Ph.D. (2008) degrees in Veterinary Medicine, Animal Pathology and Veterinary Microbiology from College of Veterinary Medicine, Addis Ababa University, Ethiopia; College of Veterinary Medicine, Utrecht University, the Netherlands and Western College of Veterinary Medicine, University of Saskatchewan, Canada respectively. He did his Postdoctoral training in microbial pathogenesis (2009 - 2015) in the Department of Animal Science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. Dr. Kerro Dego’s research focuses on the prevention and control of infectious diseases of farm animals, particularly mastitis, improving dairy food safety, and mitigation of antimicrobial resistance. Dr. Kerro Dego has extensive experience in studying the pathogenesis of bacterial infections, identification of virulence factors, and vaccine development and efficacy testing against major bacterial mastitis pathogens. Dr. Kerro Dego conducted numerous controlled experimental and field vaccine efficacy studies, vaccination, and evaluation of immunological responses in several species of animals, including rodents (mice) and large animals (bovine and ovine).",institutionString:"University of Tennessee at Knoxville",institution:{name:"University of Tennessee at Knoxville",country:{name:"United States of America"}}},{id:"251314",title:"Dr.",name:"Juan Carlos",middleName:null,surname:"Gardón Poggi",slug:"juan-carlos-gardon-poggi",fullName:"Juan Carlos Gardón Poggi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/251314/images/system/251314.jpeg",biography:"Juan Carlos Gardón Poggi received University degree from the Faculty of Agrarian Science in Argentina, in 1983. Also he received Masters Degree and PhD from Córdoba University, Spain. He is currently a Professor at the Catholic University of Valencia San Vicente Mártir, at the Department of Medicine and Animal Surgery. He teaches diverse courses in the field of Animal Reproduction and he is the Director of the Veterinary Farm. He also participates in academic postgraduate activities at the Veterinary Faculty of Murcia University, Spain. His research areas include animal physiology, physiology and biotechnology of reproduction either in males or females, the study of gametes under in vitro conditions and the use of ultrasound as a complement to physiological studies and development of applied biotechnologies. Routinely, he supervises students preparing their doctoral, master thesis or final degree projects.",institutionString:null,institution:{name:"Valencia Catholic University Saint Vincent Martyr",country:{name:"Spain"}}},{id:"309529",title:"Dr.",name:"Albert",middleName:null,surname:"Rizvanov",slug:"albert-rizvanov",fullName:"Albert Rizvanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309529/images/9189_n.jpg",biography:'Albert A. Rizvanov is a Professor and Director of the Center for Precision and Regenerative Medicine at the Institute of Fundamental Medicine and Biology, Kazan Federal University (KFU), Russia. He is the Head of the Center of Excellence “Regenerative Medicine” and Vice-Director of Strategic Academic Unit \\"Translational 7P Medicine\\". Albert completed his Ph.D. at the University of Nevada, Reno, USA and Dr.Sci. at KFU. He is a corresponding member of the Tatarstan Academy of Sciences, Russian Federation. Albert is an author of more than 300 peer-reviewed journal articles and 22 patents. He has supervised 11 Ph.D. and 2 Dr.Sci. dissertations. Albert is the Head of the Dissertation Committee on Biochemistry, Microbiology, and Genetics at KFU.\nORCID https://orcid.org/0000-0002-9427-5739\nWebsite https://kpfu.ru/Albert.Rizvanov?p_lang=2',institutionString:"Kazan Federal University",institution:{name:"Kazan Federal University",country:{name:"Russia"}}},{id:"210551",title:"Dr.",name:"Arbab",middleName:null,surname:"Sikandar",slug:"arbab-sikandar",fullName:"Arbab Sikandar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210551/images/system/210551.jpg",biography:"Dr. Arbab Sikandar, PhD, M. Phil, DVM was born on April 05, 1981. He is currently working at the College of Veterinary & Animal Sciences as an Assistant Professor. He previously worked as a lecturer at the same University. \nHe is a Member/Secretory of Ethics committee (No. CVAS-9377 dated 18-04-18), Member of the QEC committee CVAS, Jhang (Regr/Gen/69/873, dated 26-10-2017), Member, Board of studies of Department of Basic Sciences (No. CVAS. 2851 Dated. 12-04-13, and No. CVAS, 9024 dated 20/11/17), Member of Academic Committee, CVAS, Jhang (No. CVAS/2004, Dated, 25-08-12), Member of the technical committee (No. CVAS/ 4085, dated 20,03, 2010 till 2016).\n\nDr. Arbab Sikandar contributed in five days hands-on-training on Histopathology at the Department of Pathology, UVAS from 12-16 June 2017. He received a Certificate of appreciation for contributions for Popularization of Science and Technology in the Society on 17-11-15. He was the resource person in the lecture series- ‘scientific writing’ at the Department of Anatomy and Histology, UVAS, Lahore on 29th October 2015. He won a full fellowship as a principal candidate for the year 2015 in the field of Agriculture, EICA, Egypt with ref. to the Notification No. 12(11) ACS/Egypt/2014 from 10 July 2015 to 25th September 2015.; he received a grant of Rs. 55000/- as research incentives from Director, Advanced Studies and Research, UVAS, Lahore upon publications of research papers in IF Journals (DR/215, dated 19-5-2014.. He obtained his PhD by winning a HEC Pakistan indigenous Scholarship, ‘Ph.D. fellowship for 5000 scholars – Phase II’ (2av1-147), 17-6/HEC/HRD/IS-II/12, November 15, 2012. \n\nDr. Sikandar is a member of numerous societies: Registered Veterinary Medical Practitioner (life member) and Registered Veterinary Medical Faculty of Pakistan Veterinary Medical Council. The Registration code of PVMC is RVMP/4298 and RVMF/ 0102.; Life member of the University of Veterinary and Animal Sciences, Lahore, Alumni Association with S# 664, dated: 6-4-12. ; Member 'Vets Care Organization Pakistan” with Reference No. VCO-605-149, dated 05-04-06. :Member 'Vet Crescent” (Society of Animal Health and Production), UVAS, Lahore.",institutionString:"University of Veterinary & Animal Science",institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}},{id:"311663",title:"Dr.",name:"Prasanna",middleName:null,surname:"Pal",slug:"prasanna-pal",fullName:"Prasanna Pal",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/311663/images/13261_n.jpg",biography:null,institutionString:null,institution:{name:"National Dairy Research Institute",country:{name:"India"}}},{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. Dr. Rutland also obtained an MMedSci (Medical Education) and a Postgraduate Certificate in Higher Education (PGCHE). She is the author of more than sixty peer-reviewed journal articles, twelve books/book chapters, and more than 100 research abstracts in cardiovascular biology and oncology. She is a board member of the European Association of Veterinary Anatomists, Fellow of the Anatomical Society, and Senior Fellow of the Higher Education Academy. Dr. Rutland has also written popular science books for the public. https://orcid.org/0000-0002-2009-4898. www.nottingham.ac.uk/vet/people/catrin.rutland",institutionString:null,institution:{name:"University of Nottingham",country:{name:"United Kingdom"}}},{id:"283315",title:"Prof.",name:"Samir",middleName:null,surname:"El-Gendy",slug:"samir-el-gendy",fullName:"Samir El-Gendy",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRduYQAS/Profile_Picture_1606215849748",biography:"Samir El-Gendy is a Professor of anatomy and embryology at the faculty of veterinary medicine, Alexandria University, Egypt. Samir obtained his PhD in veterinary science in 2007 from the faculty of veterinary medicine, Alexandria University and has been a professor since 2017. Samir is an author on 24 articles at Scopus and 12 articles within local journals and 2 books/book chapters. His research focuses on applied anatomy, imaging techniques and computed tomography. Samir worked as a member of different local projects on E-learning and he is a board member of the African Association of Veterinary Anatomists and of anatomy societies and as an associated author at local and international journals. Orcid: https://orcid.org/0000-0002-6180-389X",institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"246149",title:"Dr.",name:"Valentina",middleName:null,surname:"Kubale",slug:"valentina-kubale",fullName:"Valentina Kubale",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246149/images/system/246149.jpg",biography:"Valentina Kubale is Associate Professor of Veterinary Medicine at the Veterinary Faculty, University of Ljubljana, Slovenia. Since graduating from the Veterinary faculty she obtained her PhD in 2007, performed collaboration with the Department of Pharmacology, University of Copenhagen, Denmark. She continued as a post-doctoral fellow at the University of Copenhagen with a Lundbeck foundation fellowship. She is the editor of three books and author/coauthor of 23 articles in peer-reviewed scientific journals, 16 book chapters, and 68 communications at scientific congresses. Since 2008 she has been the Editor Assistant for the Slovenian Veterinary Research journal. She is a member of Slovenian Biochemical Society, The Endocrine Society, European Association of Veterinary Anatomists and Society for Laboratory Animals, where she is board member.",institutionString:"University of Ljubljana",institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"258334",title:"Dr.",name:"Carlos Eduardo",middleName:null,surname:"Fonseca-Alves",slug:"carlos-eduardo-fonseca-alves",fullName:"Carlos Eduardo Fonseca-Alves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/258334/images/system/258334.jpg",biography:"Dr. Fonseca-Alves earned his DVM from Federal University of Goias – UFG in 2008. He completed an internship in small animal internal medicine at UPIS university in 2011, earned his MSc in 2013 and PhD in 2015 both in Veterinary Medicine at Sao Paulo State University – UNESP. Dr. Fonseca-Alves currently serves as an Assistant Professor at Paulista University – UNIP teaching small animal internal medicine.",institutionString:null,institution:{name:"Universidade Paulista",country:{name:"Brazil"}}},{id:"245306",title:"Dr.",name:"María Luz",middleName:null,surname:"Garcia Pardo",slug:"maria-luz-garcia-pardo",fullName:"María Luz Garcia Pardo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/245306/images/system/245306.png",biography:"María de la Luz García Pardo is an agricultural engineer from Universitat Politècnica de València, Spain. She has a Ph.D. in Animal Genetics. Currently, she is a lecturer at the Agrofood Technology Department of Miguel Hernández University, Spain. Her research is focused on genetics and reproduction in rabbits. The major goal of her research is the genetics of litter size through novel methods such as selection by the environmental sensibility of litter size, with forays into the field of animal welfare by analysing the impact on the susceptibility to diseases and stress of the does. Details of her publications can be found at https://orcid.org/0000-0001-9504-8290.",institutionString:null,institution:{name:"Miguel Hernandez University",country:{name:"Spain"}}},{id:"350704",title:"M.Sc.",name:"Camila",middleName:"Silva Costa",surname:"Ferreira",slug:"camila-ferreira",fullName:"Camila Ferreira",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/350704/images/17280_n.jpg",biography:"Graduated in Veterinary Medicine at the Fluminense Federal University, specialist in Equine Reproduction at the Brazilian Veterinary Institute (IBVET) and Master in Clinical Veterinary Medicine and Animal Reproduction at the Fluminense Federal University. She has experience in analyzing zootechnical indices in dairy cattle and organizing events related to Veterinary Medicine through extension grants. I have experience in the field of diagnostic imaging and animal reproduction in veterinary medicine through monitoring and scientific initiation scholarships. I worked at the Equus Central Reproduction Equine located in Santo Antônio de Jesus – BA in the 2016/2017 breeding season. I am currently a doctoral student with a scholarship from CAPES of the Postgraduate Program in Veterinary Medicine (Pathology and Clinical Sciences) at the Federal Rural University of Rio de Janeiro (UFRRJ) with a research project with an emphasis on equine endometritis.",institutionString:null,institution:null},{id:"41319",title:"Prof.",name:"Lung-Kwang",middleName:null,surname:"Pan",slug:"lung-kwang-pan",fullName:"Lung-Kwang Pan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/41319/images/84_n.jpg",biography:null,institutionString:null,institution:null},{id:"125292",title:"Dr.",name:"Katy",middleName:null,surname:"Satué Ambrojo",slug:"katy-satue-ambrojo",fullName:"Katy Satué Ambrojo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/125292/images/system/125292.jpeg",biography:"Katy Satué Ambrojo received her Veterinary Medicine degree, Master degree in Equine Technology and doctorate in Veterinary Medicine from the Faculty of Veterinary, CEU-Cardenal Herrera University in Valencia, Spain.Dr. Satué is accredited as a Private University Doctor Professor, Doctor Assistant, and Contracted Doctor by AVAP (Agència Valenciana d'Avaluació i Prospectiva) and currently, as a full professor by ANECA (since January 2022). To date, Katy has taught 22 years in the Department of Animal Medicine and Surgery at the CEU-Cardenal Herrera University in undergraduate courses in Veterinary Medicine (General Pathology, integrated into the Applied Basis of Veterinary Medicine module of the 2nd year, Clinical Equine I of 3rd year, and Equine Clinic II of 4th year). Dr. Satué research activity is in the field of Endocrinology, Hematology, Biochemistry, and Immunology in the Spanish Purebred mare. She has directed 5 Doctoral Theses and 5 Diplomas of Advanced Studies, and participated in 11 research projects as a collaborating researcher. She has written 2 books and 14 book chapters in international publishers related to the area, and 68 scientific publications in international journals. Dr. Satué has attended 63 congresses, participating with 132 communications in international congresses and 19 in national congresses related to the area. Dr. Satué is a scientific reviewer for various prestigious international journals such as Animals, American Journal of Obstetrics and Gynecology, Veterinary Clinical Pathology, Journal of Equine Veterinary Science, Reproduction in Domestic Animals, Research Veterinary Science, Brazilian Journal of Medical and Biological Research, Livestock Production Science and Theriogenology, among others. Since 2014 she has been responsible for the Clinical Analysis Laboratory of the CEU-Cardenal Herrera University Veterinary Clinical Hospital.",institutionString:null,institution:null},{id:"201721",title:"Dr.",name:"Beatrice",middleName:null,surname:"Funiciello",slug:"beatrice-funiciello",fullName:"Beatrice Funiciello",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201721/images/11089_n.jpg",biography:"Graduated from the University of Milan in 2011, my post-graduate education included CertAVP modules mainly on equines (dermatology and internal medicine) and a few on small animal (dermatology and anaesthesia) at the University of Liverpool. After a general CertAVP (2015) I gained the designated Certificate in Veterinary Dermatology (2017) after taking the synoptic examination and then applied for the RCVS ADvanced Practitioner status. After that, I completed the Postgraduate Diploma in Veterinary Professional Studies at the University of Liverpool (2018). My main area of work is cross-species veterinary dermatology.",institutionString:null,institution:null},{id:"291226",title:"Dr.",name:"Monica",middleName:null,surname:"Cassel",slug:"monica-cassel",fullName:"Monica Cassel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/291226/images/8232_n.jpg",biography:'Degree in Biological Sciences at the Federal University of Mato Grosso with scholarship for Scientific Initiation by FAPEMAT (2008/1) and CNPq (2008/2-2009/2): Project \\"Histological evidence of reproductive activity in lizards of the Manso region, Chapada dos Guimarães, Mato Grosso, Brazil\\". Master\\\'s degree in Ecology and Biodiversity Conservation at Federal University of Mato Grosso with a scholarship by CAPES/REUNI program: Project \\"Reproductive biology of Melanorivulus punctatus\\". PhD\\\'s degree in Science (Cell and Tissue Biology Area) \n at University of Sao Paulo with scholarship granted by FAPESP; Project \\"Development of morphofunctional changes in ovary of Astyanax altiparanae Garutti & Britski, 2000 (Teleostei, Characidae)\\". She has experience in Reproduction of vertebrates and Morphology, with emphasis in Cellular Biology and Histology. She is currently a teacher in the medium / technical level courses at IFMT-Alta Floresta, as well as in the Bachelor\\\'s degree in Animal Science and in the Bachelor\\\'s degree in Business.',institutionString:null,institution:null},{id:"442807",title:"Dr.",name:"Busani",middleName:null,surname:"Moyo",slug:"busani-moyo",fullName:"Busani Moyo",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Gwanda State University",country:{name:"Zimbabwe"}}},{id:"439435",title:"Dr.",name:"Feda S.",middleName:null,surname:"Aljaser",slug:"feda-s.-aljaser",fullName:"Feda S. Aljaser",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"King Saud University",country:{name:"Saudi Arabia"}}},{id:"423023",title:"Dr.",name:"Yosra",middleName:null,surname:"Soltan",slug:"yosra-soltan",fullName:"Yosra Soltan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"349788",title:"Dr.",name:"Florencia Nery",middleName:null,surname:"Sompie",slug:"florencia-nery-sompie",fullName:"Florencia Nery Sompie",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Sam Ratulangi University",country:{name:"Indonesia"}}},{id:"428600",title:"MSc.",name:"Adriana",middleName:null,surname:"García-Alarcón",slug:"adriana-garcia-alarcon",fullName:"Adriana García-Alarcón",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}},{id:"428599",title:"MSc.",name:"Gabino",middleName:null,surname:"De La Rosa-Cruz",slug:"gabino-de-la-rosa-cruz",fullName:"Gabino De La Rosa-Cruz",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}},{id:"428601",title:"MSc.",name:"Juan Carlos",middleName:null,surname:"Campuzano-Caballero",slug:"juan-carlos-campuzano-caballero",fullName:"Juan Carlos Campuzano-Caballero",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}}]}},subseries:{item:{id:"38",type:"subseries",title:"Pollution",keywords:"Human Activity, Pollutants, Reduced Risks, Population Growth, Waste Disposal, Remediation, Clean Environment",scope:"\r\n\tPollution is caused by a wide variety of human activities and occurs in diverse forms, for example biological, chemical, et cetera. In recent years, significant efforts have been made to ensure that the environment is clean, that rigorous rules are implemented, and old laws are updated to reduce the risks towards humans and ecosystems. However, rapid industrialization and the need for more cultivable sources or habitable lands, for an increasing population, as well as fewer alternatives for waste disposal, make the pollution control tasks more challenging. Therefore, this topic will focus on assessing and managing environmental pollution. It will cover various subjects, including risk assessment due to the pollution of ecosystems, transport and fate of pollutants, restoration or remediation of polluted matrices, and efforts towards sustainable solutions to minimize environmental pollution.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/38.jpg",hasOnlineFirst:!1,hasPublishedBooks:!0,annualVolume:11966,editor:{id:"110740",title:"Dr.",name:"Ismail M.M.",middleName:null,surname:"Rahman",slug:"ismail-m.m.-rahman",fullName:"Ismail M.M. Rahman",profilePictureURL:"https://mts.intechopen.com/storage/users/110740/images/2319_n.jpg",biography:"Ismail Md. Mofizur Rahman (Ismail M. M. Rahman) assumed his current responsibilities as an Associate Professor at the Institute of Environmental Radioactivity, Fukushima University, Japan, in Oct 2015. He also has an honorary appointment to serve as a Collaborative Professor at Kanazawa University, Japan, from Mar 2015 to the present. \nFormerly, Dr. Rahman was a faculty member of the University of Chittagong, Bangladesh, affiliated with the Department of Chemistry (Oct 2002 to Mar 2012) and the Department of Applied Chemistry and Chemical Engineering (Mar 2012 to Sep 2015). Dr. Rahman was also adjunctly attached with Kanazawa University, Japan (Visiting Research Professor, Dec 2014 to Mar 2015; JSPS Postdoctoral Research Fellow, Apr 2012 to Mar 2014), and Tokyo Institute of Technology, Japan (TokyoTech-UNESCO Research Fellow, Oct 2004–Sep 2005). \nHe received his Ph.D. degree in Environmental Analytical Chemistry from Kanazawa University, Japan (2011). He also achieved a Diploma in Environment from the Tokyo Institute of Technology, Japan (2005). Besides, he has an M.Sc. degree in Applied Chemistry and a B.Sc. degree in Chemistry, all from the University of Chittagong, Bangladesh. \nDr. Rahman’s research interest includes the study of the fate and behavior of environmental pollutants in the biosphere; design of low energy and low burden environmental improvement (remediation) technology; implementation of sustainable waste management practices for treatment, handling, reuse, and ultimate residual disposition of solid wastes; nature and type of interactions in organic liquid mixtures for process engineering design applications.",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorTwo:{id:"201020",title:"Dr.",name:"Zinnat Ara",middleName:null,surname:"Begum",slug:"zinnat-ara-begum",fullName:"Zinnat Ara Begum",profilePictureURL:"https://mts.intechopen.com/storage/users/201020/images/system/201020.jpeg",biography:"Zinnat A. Begum received her Ph.D. in Environmental Analytical Chemistry from Kanazawa University in 2012. She achieved her Master of Science (M.Sc.) degree with a major in Applied Chemistry and a Bachelor of Science (B.Sc.) in Chemistry, all from the University of Chittagong, Bangladesh. Her work affiliations include Fukushima University, Japan (Visiting Research Fellow, Institute of Environmental Radioactivity: Mar 2016 to present), Southern University Bangladesh (Assistant Professor, Department of Civil Engineering: Jan 2015 to present), and Kanazawa University, Japan (Postdoctoral Fellow, Institute of Science and Engineering: Oct 2012 to Mar 2014; Research fellow, Venture Business Laboratory, Advanced Science and Social Co-Creation Promotion Organization: Apr 2018 to Mar 2021). 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