Infrastructure of animal farms: key constructional elements in terms of biosecurity based on experience from Germany

PurposeEvery day, small and big incidents happen all over the world, and given the human, financial and spiritual damage they cause, proper planning should be sought to deal with them so they can be appropriately managed in times of crisis. This study aims to examine humanitarian supply chain models.Design/methodology/approachA new model is developed to pursue the necessary relations in an optimal way that will minimize human, financial and moral losses. In this developed model, in order to optimize the problem and minimize the amount of human and financial losses, the following subjects have been applied: magnitude of the areas in which an accident may occur as obtained by multiple attribute decision-making methods, the distances between relief centers, the number of available rescuers, the number of rescuers required and the risk level of each patient which is determined using previous data and machine learning (ML) algorithms.FindingsFor this purpose, a case study in the east of Tehran has been conducted. According to the results obtained from the algorithms, problem modeling and case study, the accuracy of the proposed model is evaluated very well.Originality/valueObtaining each injured person's priority using ML techniques and each area's importance or risk level, besides developing a bi-objective mathematical model and using multiple attribute decision-making methods, make this study unique among very few studies that concern ML in the humanitarian supply chain. Moreover, the findings validate the results and the model's functionality very well.

Immunization and upgrading of structures are for the prevention of physical and financial losses due to earthquake. The importance of structures is not the same regarding the physical and financial losses caused by the earthquake damage, although the responsibility to improve and secure them in terms of providing financing according to the type of ownership is different. The formulation of rules, regulations and necessary letters, the supervision over the various stages of immunization, and the establishment of appropriate facilities are in accordance with the financial and executive capacity of the country, the prioritization and preparation of a major plan for the improvement and securing of government responsibilities. Old buildings in worn-out textures generally have a wall system without vertical and horizontal shafts. The experiences from Boijin Zahra, Tabas, Rudbar and Bam earthquakes indicate that the destruction of such buildings in the time of devastating shakes is definite. The importance of structures is not the same considering the physical and financial losses caused by the earthquake damage. The principal destruction and rehabilitation for prevention of physical and financial losses due to the earthquake in terms of providing financing and according to the type of ownership varies, and this requires a rebuild time and high costs for the employer. Therefore, it is recommended that according to the conditions of the buildings of the country, arrangements and decisions, whether for financial facilities, etc. are considered so that everyone can carry out the executive steps of the safe room according to their existing structures.

This research analysed human-robot cooperation and interaction in the basement of a Danish hospital, where kitchen staff and porters conducted their daily routines in an environment shared with mobile service robots. The robots were installed to ease the everyday routines of kitchen staff and carry out physically demanding tasks, such as transporting heavy cargo between destinations in the hospital basement. The cooperation and interaction were studied through ethnographic inspired fieldwork and the results highlighted how robots affect the real-life environments into which they are gradually moving. The analysis revealed how the great human expectations of robots clashed with reality and identified three key elements that influence human-robot cooperation in hospitals: 1) environmental factors, 2) behavioural factors and 3) factors related to human reliance on robots. We emphasise the importance of considering socio-technical factors when deploying robots to cooperate with humans in hospital environments.

This paper explores the daily routines of people aged 75 or more who live in their own homes and who have been receiving prescribed medication for twelve months or more. It draws on a representative UK sample of 77 such people and uses a variety of methods: diaries, interviews and observation. First it examines patterns of medication, identifying different daily routines and the impact of disruptions and intermittent medication. It then goes on to consider ways of organising and managing medication. This focuses on three key elements: storage, access and reminders. In conclusion, it argues that if a more collaborative approach to prescribing is to replace the traditional emphasis upon compliance, then a clearer understanding of the daily routines of later life is much needed.

En el presente articulo se reflexiona y se expone parte de los resultados de un trabajo investigativo referido a la apropiacion de conocimientos mediante la expresion plastica, actividad en la que participaron docentes y estudiantes escolares pertenecientes a lamodalidad educativa denominada “Aula Abierta”.Concluida la investigacion, queda manifiesto que elestudio, la indagacion, la reflexion y la busquedasistematica de conocimientos y formas de aprender yensenar de parte del docente, son elementos fundamentales que propician cambios cualitativos en laformacion academica de este, lo que le permite llevaral aula formas innovadoras para lograr aprendizajes significativos en sus estudiantes. El diseno de situaciones de aprendizaje desde una perspectiva constructivista, holista y ludica, asi como el aprovechamiento de contextos, permitieron el logro de aprendizajes cognitivos, afectivos y psicomotores mediante laexpresion de actividades plasticas, lo que le posibilitaal joven el desarrollo de una personalidad integral

The embankments act as a life line for deltaic people of the Sundarbans. The reclamation of immature land through the construction of embankment without proper planning has been increasing the vulnerability of embankment breaching due to various natural and anthropogenic causes. The construction and maintenance of embankments are difficult tasks without prior knowledge about the mode of vulnerability and ground situations of the sites. To understand the scenario of embankment breaching and its recent management strategy, an intensive field survey was conducted to comprehend the underlying reasons for embankment breaching and its management techniques at the ground level. The modern techniques were also incorporated to identify the vulnerable sites of river bank erosion. The study reveals that the southern part of the delta is more vulnerable due to intensive river bank erosion. To understand potential capabilities of these embankments to combat against fluvio-hydrological challenges, a sequential change of embankment construction from historical past to present and recent scientific engineering model of Aila Dam has been chalked out in this study. The present study is an attempt to understand the geo-historical perspectives of embankment construction and to identify the vulnerable coastal zone of Gosaba Island of Sundarban. The study also aims to illustrate the modern techniques of embankment management for its longevity in such a dynamic land.

BackgroundExplosions are classified as both man-made and complex accidents. Explosive events can cause serious damage to people, property, and the environment. This study aimed to investigate the pattern and nature of damage incurred to the victims of the Neyshabur Train Explosion.MethodsThe current study is a descriptive cross-sectional study that was retrospectively performed on 99 individuals using census method and documents victims hospitalized due to the Neyshabur train disaster (February 2004) in 2016. In this study, different variables such as age, sex, type of injury, treatment, etc. were examined using a questionnaire and were analyzed using SPSS16.ResultsThe results showed that 50.5% of victims were males with mean age of 30.33 ± 4.27 years and most of them were in 20- to 40-year age group. A total of 98 victims were discharged after treatment, and 1 victim died due to the severity of injuries after 3 days of hospitalization. Second type of injuries caused by the explosion accounted for most of the injuries (55.6%), and most treatments (54.5%) were related to the specific field of orthopedics.ConclusionHandling and transportation of fuels and chemicals via rail transport system is one of the potential hazards that threatens human life. The results showed that the highest numbers of victims were in 20- to 40-year age group, which is the age of economic efficiency. The prevention and reduction of human and financial losses resulting from accidents require proper national planning.

During the outbreak of the Covid-19 epidemic, many countries took strict measures of prevention, including city lockdowns, production, school shutdowns, and home quarantine, to prevent further spread of the pandemic. Relevant actions have affected people's daily routines and life patterns, even changed the original lifestyle. Especially for youngsters, their diversified lifestyle is significantly impacted. Related studies show that abnormal changes in daily life patterns or bad habits change the lifestyle and lead to the emergence of a sub-health state. Therefore, the primary purposes of this study are 1. to investigate the differences in lifestyle among young generation before and during the epidemic; 2. to further analyze the changes and the factors that may affect their health. in order to increase people's interest in the research and enhance the participation of young generation, this study introduces the method of "Life Stripe Project" established by Japanese designers. Based on this model, the questionnaire of daily life patterns was derived online, where data of daily life activities of college students in Taiwan and mainland China were collected through an online survey. At the same time, six factors of health-promoting lifestyle theory have been introduced to analyze the factors affecting the lifestyle change before and during the epidemic, and to find out the reasons resulting in the sub-health state, to guide the young generation to deal with the possible continuation of the epidemic situation. Proper adjustment and plans for their daily life activities will help to enhance their awareness of health-promoting life in the future.

ABSTRACTAlthough burn disaster is not a frequent event, with urbanisation and industrialisation, burn disaster is becoming an emerging problem in Bangladesh. On 3 June 2010, a fire disaster killed 124 people in Neemtali, Dhaka, Bangladesh. This paper narrates the management of burn patients of this disaster in the burn unit of Dhaka Medical College Hospital. The burn unit managed 192 burn victims of the disaster. Forty-two victims were admitted and 150 of them received primary care at the emergency room and were sent back home. Ten patients among 42 in-patients died. The in-patient mortality was 23.8%. Burn unit in Dhaka Medical College Hospital is the only burn management centre in Bangladesh. Proper planning and coordinated effort by all sectors and persons concerned were the key elements in this successful management.

Chapter 3 - Planning Activities

Although burn disaster is not a frequent event, with urbanisation and industrialisation, burn disaster is becoming an emerging problem in Bangladesh. On 3 June 2010, a fire disaster killed 124 people in Neemtali, Dhaka, Bangladesh. This paper narrates the management of burn patients of this disaster in the burn unit of Dhaka Medical College Hospital. The burn unit managed 192 burn victims of the disaster. Forty-two victims were admitted and 150 of them received primary care at the emergency room and were sent back home. Ten patients among 42 in-patients died. The in-patient mortality was 23.8%. Burn unit in Dhaka Medical College Hospital is the only burn management centre in Bangladesh. Proper planning and coordinated effort by all sectors and persons concerned were the key elements in this successful management.

Any system small, medium or large can function effectively if all aspects relating to the system are considered in detail and proper planning is done to organize the various activities involved. It is always difficult to define in quantitative terms the attention needed to various aspects of the program planning for optimum utilization of input resources. Program Planning based on detailed analysis of the system is, therefore, a necessity. The utility of program planning can be increased further by application of fuzzy set theory to incorporate the qualitative aspects associated with the system.The paper deals with the application of Fuzzy Program Planning to ‘Energy Conservation in Indian Cement Industry’, identifying and analysing various elements and sub‐elements of the program, the key elements and the key sub‐elements based on Possibility of Interactions (POI) between them. Ranking of each sub‐element based on the POI has also been worked out and compared with rankings worked out using binary (0–1) analysis.Identification of key sub‐elements, their interaction with other sub‐elements and the ranking based on the fuzzy interaction is an extension of the work already done in the field of program planning. The superiority of Fuzzy Program Planning over the Program Planning based on binary (0–1) analysis has also been demonstrated successfully.

Q fever is a zoonosis occurring worldwide in livestock. Often neglected in differential diagnoses, Q fever can persist in herds causing financial losses in the long run. In ruminants, well-known manifestations of Q fever are abortion, stillbirth, delivery of weak offspring and premature delivery. In cattle, Q fever is frequently asymptomatic and/or under-reported. The use of new methodologies in veterinary clinical epidemiology is of prime importance to find accurate clinical indicators of exposure to C. burnetii at herd level. A retrospective randomly cross-sectional survey was conducted to estimate the seroprevalence of Q fever in southern Belgium by means of an ELISA test performed on the bulk tank milk (n=206 cattle herds). At the same time, a questionnaire was accomplished allowing the investigation of presumptive clinical signs observed at herd level during the previous twelve months for dairy cows. A multivariate logistic regression analysis was used to identify abortion and irregular repeat breeding as two indicators associated with Q fever exposure in dairy herds. In addition, a bootstrapped quantile regression revealed that the average score of putative clinical signs related to Q fever was significantly more important in exposed versus non-exposed herds. A classification and regression tree (CART) analysis confirmed the importance of the average clinical score and the irregular repeat breeding as main splitters, considering or not each clinical sign separately. Considering herd clinical patterns, instead of taking each clinical sign separately, seems to be more useful to differentiate herds at risk of Q fever exposure.

Enhanced sustainability and efficiency are among the prime indicators to achieve in the power generation sector of any country. The decline in efficiency might be caused by improper utilization of fuels and increasing entropy in outdated generation units. Reduced efficiency in power generation is particularly detrimental for the sustainability in developing countries, as resources are limited and need to be carefully allocated and maintained. Exergy analysis based on the laws of thermodynamics are currently gaining traction among researchers to study the overall performances of power generation units. Taking Bangladesh as a case study, this work investigates the power generation data for the country since 2009 till 2019 to study the internal energy losses of natural gas, oil, high-speed diesel, coal, and hydro based plants and provides a baseline for investment policy formulation. Our study found that, due to lack of maintenance and proper planning during the initial phases, the overall energy efficiencies among these sectors are relatively low, staying in the range of 34.55%–36.1% while the exergy efficiencies are 35.07%–36.59%. Corresponding exergetic parameters as depletion number, exergy sustainability index, relative irreversibility, lack of production, cumulative exergy loss, waste exergy ratio, and environmental effect factor pointed to similar findings in terms of sustainability as well. Comparing these parameters, it is observed that hydroelectric plants are more sustainable and efficient compared to fossil fuel-based generation units. Cost estimation of fuels and financial losses in the power generation sector are also explored for a better understanding of the return on investment.

The spread of infectious diseases such as COVID-19, flu influenza, malaria, dengue, mumps, and rubella in a population is a big threat to public health. The infectious diseases spread from one person to another person through close contact. Without proper planning, an infectious disease can become an epidemic and can result in large human and financial losses. To better respond to the spread of infectious disease and take measures for its control, the public health authorities need models and simulations to study the spread of such diseases. In this paper, an agent-based simulation engine is presented that models the spread of infectious diseases in the population. The simulation takes as an input the human-to-human interactions, population dynamics, disease transmissibility and disease states and shows the spread of disease over time. The simulation engine supports non-pharmaceutical interventions and shows its impact on the disease spread across locations. A unique feature of this tool is that it is generic; therefore, it can simulate a wide variety of infectious disease models (SIR), susceptible-infectious-susceptible (SIS) and susceptible-infectious (SI). The proposed simulation engine will help the policy-makers and public health authorities study the behavior of disease spreading; thus, allowing for better planning.