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The purpose of this study was to use bridge curvature method (BCM) to quantify stress, while multiscale modeling with adaptive coarsening predicted distortions based on experimentally validated models. Taguchi method and response surface method were used to optimize process parameters (energy density, hatch spacing, scanning speed and beam diameter).

Laser powder bed fusion (LPBF) offers significant design freedom but suffers from residual stresses due to rapid melting and solidification. This study presents a novel approach combining multiscale modeling and statistical optimization to minimize residual stress in SS316L.

Optimal parameters were identified through simulations and validated with experiments, achieving an 8% deviation. This approach significantly reduced printing costs compared to traditional trial-and-error methods. The analysis revealed a non-monotonic relationship between residual stress and energy density, with an initial increase followed by a decrease with increasing hatch spacing and scanning speed (both contributing to lower energy density). Additionally, beam diameter had a minimal impact compared to other energy density parameters.

This work offers a unique framework for optimizing LPBF processes by combining multiscale modeling with statistical techniques. The identified optimal parameters and insights into the individual and combined effects of energy density parameters provide valuable guidance for mitigating residual stress in SS316L, leading to improved part quality and performance.

The purpose of this paper is to provide a critical appraisal of the theme of zulm (injustice/exploitation) in light of the Islamic finance literature and the general attitude and approach of the Islamic finance industry and its advocates.

Based on an expanding theoretical and empirical knowledge base about Islamic finance and banking movement, and the emerging understanding about the role of profit and corporate behavior, a critical analysis of the role of riba, interest and profit in widespread injustice and exploitation is presented.

On the basis of the behavior of the Islamic finance industry, it seems that the industry's current practices are either neutral to the issue of injustice/exploitation or mirrors the tendencies of the conventional finance. Furthermore, when comparing the exploitative role of interest and profit, the latter seems to be more consequential than generally understood and acknowledged.

Islamic economics/finance literature should have more empirical research in identifying and understanding the nature of exploitation in the contemporary world and in how the current practices or tendencies are minimizing or abetting the challenge of exploitation.

The larger goal of the Islamic finance and banking movement should be to be in harmony with the maqasid of Islam to minimize zulm (injustice/exploitation) in the society.

The larger goal of the Islamic finance and banking movement should be to be in harmony with the maqasid of Islam to minimize zulm (injustice/exploitation) in the society.

While the literature of Islamic economics and finance is rather robust, this might be the first work that critically examines the riba‐interest reductionism, especially to focus on its implication for attention of the industry being away from exploitation in general and the relationship between profit and exploitation in particular.

Wireless Body Area Network (WBAN) technology envisions a network in which sensors continuously operate on and obtained critical physical and physiological readings. Sensors deployed in WBANs have restricted resources such as battery energy, computing power and bandwidth. We can utilize these resources efficiently. By devising a mechanism that is energy efficient with following characteristics, i.e. computational complexity is less, routing overhead is minimized, and throughput will be maximum. A lot of work has been done in this area but still WBAN faces some challenges like mobility, network lifetime, transmission range, heterogeneous environment, and limited resources. In the present years well, contemplative studies have been made through a large body to reach some holistic points pertaining to the energy consumption in WBAN. Thus we/put forward appropriate algorithm for energy efficiency which can vividly corroborate the advances in this specific domain. We have also focused on various aspects and phases of the studies like study computational complexity, routing overhead and throughput type of characteristics. There is still a room for improvement to get the desired energy optimization in WBAN. The network performance mainly relies upon the algorithm used for optimization process. In this work, we intended to develop an energy optimization algorithm for energy consumption in WBAN which is based on evolutionary algorithms for inter-BAN communications using cluster-based routing protocol.

In this paper we propose a meta heuristics algorithm Goa to solve the optimization problem in WBAN. Grasshopper is an insect. Generally, this insect is viewed individually and creating large swarm in nature. Figure 5 shows the individual grasshoppers' primitive patterns in swarm. Figure 7 depicts the pseudo code of Goa. In Goa, experiments are done to view the behavior of grasshoppers in swarm. How they gradually move towards the stationary and mobile target. Through experimentation it is conceived that swarm gradually converge towards their target. Another interesting pattern related to convergence of grasshopper is that it slowly towards its target. This shows that grasshopper does not trapped in local optima. In starting iterations of exploration process Goa, search globally and in last iterations it searches local optima. Goa makes the exploration and exploitation process balanced while solving challenging optimization problems.

Energy efficiency is achieved in the optimization process of cluster formation process. As the use of proposed algorithm Goa creates the optimal number of clusters. Shorter cluster lifetime means more times clustering procedure is called. It increases the network computational cost and the communication overhead. Experimentation results show that proposed Goa algorithm performs well. We compare the results of Goa with existing optimization Algorithms ACO and MFO. Results are generated using MATLAB.

A lot of work has done for the sake of energy optimization in WBAN. Many algorithms are proposed in past for energy optimization of WBAN. All of them have some strengths and weaknesses. In this paper we propose a nature inspired algorithm Goa. We use the Goa algorithm for the sake of energy optimization in WBAN.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Abuse from work supervisors leads to higher levels of job dissatisfaction among employees who also become likelier to leave the form. Companies that implement measures to alleviate the effects of abusive supervision and focus on the benefits of increasing continuance commitment among employees become better positioned to reduce turnover intentions.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The purpose of this study is to explore the impacts of aid in the form of food, cash, and agricultural inputs on internal migration following a series of cyclones in the southern coastal areas of Bangladesh. The impacts of sources of aid, such as institutional or social network sources, were also analysed. With the increasing frequency of extreme climatic events, it becomes crucial to understand the impacts of different post-cyclonic aid on human mobility.

A total of 472 households across 16 blocks (moujas) in the Patharghata sub-district of Barguna district were selected for participation using a stratified sampling strategy. Data were captured via a survey which included individual and household-level demographics, migration and aid-receipt following cyclones. Data were analysed using a mixture of descriptive and inferential statistical methods.

The analysis revealed that migration was significantly higher among households which did not receive institutional food aid. More specifically, non-receipt of food aid and cash aid after a cyclone, different sources of income, non-availability of alternative sources of income, lack of land ownership and severity of cyclones up to a certain level increased migration among the households where a minority of household members migrated. In contrast, the absence of food aid and the severity of cyclones were found to be significant factors in increasing migration among the households where a majority of household members migrated. The authors argue that the decision to migrate from the households where most members migrated increased with the rise in cyclone severity.

The contribution of this research in the field of aid and migration is unique. To the best of the authors’ knowledge, no research was conducted before on the impacts of distribution and type of aid on internal migration following a cyclone.

Academic scholars have tested students’ entrepreneurial intention (SEI) through the Theory of Planned Behavior (TPB) and Social Cognitive Theory (SCT). Still, the link between entrepreneurial intention and career is missing in previous studies. An extensive literature review developed the rationale that existing theories in the entrepreneurial discipline have limitations in linking entrepreneurial intention with career. This research is conducted to develop a comprehensive model for the relationship between entrepreneurial university support, student entrepreneurial intention, behavior and career. Stimulus-Organism-Behavior-Consequence (SOBC) paradigm from organizational behavior research is borrowed to entrepreneurship literature.

The cross-sectional data was collected from Pakistani university students enrolled in business incubators. A sample of 100 responses was tested with a partial least square–structural equation modelling approach.

The study established that by the underpinning of SOBC, entrepreneurial university support influences students’ entrepreneurial intention. It is also found that the students’ entrepreneurial intention strongly influences their entrepreneurial behavior, leading them to entrepreneurship careers.

The policies influencing students’ entrepreneurial intention and behavior can be developed using the SOBC paradigm. Higher education institutions can improve students’ entrepreneurial intentions and behavior to lead them to entrepreneurship careers.

This research introduced the SOBC paradigm in entrepreneurial intention and behavior literature. SOBC underpinning explored a new dimension of entrepreneurial intention and behavior literature.

This document presents BasES, which is a tool kit disseminated as an open educational resource. BasES is focused on the topic of buildings-as-energy services, promoting the knowledge integration to envisage buildings as components of future distributed renewable and interactive energy systems (DRIs). BasES will allow users of exploring and analysing DRIs' emergent properties at the local level, developing, and implementing the tool kit proposed. The specific objective concerns the use of the tool kit in the organisation of a technology support net (TSN) for buildings-as-a-service. TSN is composed of a multitude of actors, who often have different perspectives and scopes, but they are called to work collaboratively in order to establish work rules, requisite skills, work contents, standards and measures, culture and organisational patterns with regard to the emergent systems. Buildings-as-a-service is a completely new topic, and thus, an appropriate TSN is needed urgently. Our tool kit (i.e. Buildings-as-Energy-Services; BasES) will be a ground-breaking cognitive apparatus for involving stakeholders in knowledge transfer and integration processes. Thus, a new generation of product-service systems will be promoted. BasES is expected to configure a multi-stakeholder co-designed UK roadmap on socio-technical innovation in DRIs transition.

This proposal aims to forecast energy consumption in residential buildings based on the effect of opening and closing windows by the deep architecture approach. In this task, the developed model has three stages: (1) collection of data, (2) feature extraction and (3) prediction. Initially, the data for the closing and opening frequency of the window are taken from the manually collected datasets. After that, the weighted feature extraction is performed in the collected data. The attained weighted feature is fed to predict energy consumption. The prediction uses the efficient hybrid multi-scale convolution networks (EHMSCN), where two deep structured architectures like a deep temporal context network and one-dimensional deep convolutional neural network. Here, the parameter optimization takes place with the hybrid algorithm named jumping rate-based grasshopper lemur optimization (JR-GLO). The core aim of this energy consumption model is to predict the consumption of energy accurately based on the effect of opening and closing windows. Therefore, the offered energy consumption prediction approach is analyzed over various measures and attains an accurate performance rate than the conventional techniques.

An EHMSCN-aided energy consumption prediction model is developed to forecast the amount of energy usage during the opening and closing of windows accurately. The emission of CO₂ in indoor spaces is highly reduced.

The MASE measure of the proposed model was 52.55, 43.83, 42.01 and 36.81% higher than ANN, CNN, DTCN and 1DCNN.

The findings of the suggested model in residences were attained high-quality measures with high accuracy, precision and variance.

Increasing environmental pollution and destruction have damaged sustainability in polluting societies and organizations. For this reason, various environmental management programs have recently been developed by governments and the environmental protection agencies (EPAs) to control and reduce environmental pollution. One of these programs is environmental audit (EA), which has not been fully implemented yet in developing countries and it has many disadvantages. It seems that one of the reasons for the lack of perfect implementation of EA in these countries is the lack of adequate review of the factors affecting its implementation. The purpose of this paper is to identify the factors affecting EA implementation and then analysis of causal relationships between them.

Decision-making trial and evaluation laboratory (DEMATEL) technique was used to identify causal relationships of factors affecting EA implementation. Based on the literature review and interviewing nine experts in EA, 17 factors were identified to influence EA implementation. Six experts were selected for the evaluation using snowball sampling method. Using the DEMATEL approach, a cause and effect relationship diagram was generated through which the effect of factors was analyzed.

Seventeen factors were categorized in terms of cause and effect, and the interrelationships of factors were also analyzed. “Reducing environmental impacts and improving environmental performance,” “obtaining environmental management system certificates” and “contributing to the environmental goals of investment projects” are the most prominent factors on the basis of their prominent score.

Analysis in the research is highly dependent on expert judgments and opinions may be biased. However, the initial matrix obtained from the experts is hindered by the ambiguity about some relationships. But this can be improved by using fuzzy and gray set theories. The factors used for the analysis may not be comprehensive and other researchers may find other factors.

Identifying the factors affecting EA implementation and analyzing causal relationships between them can be a guide and help governments to improve the implementation of EA or even develop this policy by being aware of the effect of the factors analyzed.

To the best of the authors’ knowledge, no comprehensive study of factors affecting EA implementation has been undertaken; this study is the first to identify these factors and analyze them using DEMATEL. Therefore, it is suggested that governments and EPAs in the policies focus on the significant factors.

This chapter provides a comprehensive description of special education in Bangladesh. It begins with the early origins of special education and then proceeds with definitions of and prevalence of current disabilities in Bangladesh. This section is followed by governmental policies and legislation related to the right to education for all students with disabilities. Next, educational intervention methods are delineated along with a description of governmental special schools and teacher training and preparation of special educational professions. Early intervention practices and working with families is also discussed. The chapter ends with the progress that Bangladesh has made and the challenges that remain.