bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermal convection and radiation in a rotating cabinet with time-dependent heat-generated solid element and heat-conducting solid walls
Authors: Mikhailenko Stepan , Ghalambaz Mohammad , Sheremet Mikhail A. 
Published: February 2021

Purpose
This paper aims to study numerically the simulation of convective–radiative heat transfer under an effect of variable thermally generating source in a rotating square chamber. The performed analysis deals with a development of passive cooling system for the electronic devices.

Design/methodology/approach
The domain of interest of size H rotating at a fixed angular velocity has heat-conducting solid walls with a constant cooling temperature for the outer boundaries of the vertical walls and with thermal insulation for the outer borders of the horizontal walls. The chamber has a heater on the bottom wall with a time-dependent volumetric heat generation. The internal surfaces of the walls and the energy element are both grey diffusive emitters and reflectors. The fluid is transparent to radiation. Computational model has been written using non-dimensional parameters and worked out by the finite difference technique. The effect of the angular velocity, volumetric heat generation frequency and surface emissivity has been studied and described in detail.

Findings
The results show that growth of the surface emissivity leads to a diminution of the mean heater temperature, while a weak rotation can improve the energy transport for low volumetric thermal generation frequency.

Originality/value
An efficient computational approach has been used to work out this problem. The originality of this work is to analyze complex (conductive–convective–radiative) energy transport in a rotating system with a local element of time-dependent volumetric heat generation. To the best of the authors’ knowledge, an interaction of major heat transfer mechanisms in a rotating system with a heat-generating element is scrutinized for the first time. The results would benefit scientists and engineers to become familiar with the analysis of complex heat transfer in rotating enclosures with internal heat-generating units, and the way to predict the heat transfer rate in advanced technical systems, in industrial sectors including transportation, power generation, chemical sectors and electronics.
Soft computing for availability optimization of a crushing system of sugar plant using PSO
Authors: Aggarwal Anil Kr. , Kumar Amit 
Published: February 2021

PurposeIn this paper, the objective is to perform mathematical modeling to optimize the steady-state availability of a multi-state repairable crushing system of a sugar plant using the evolutionary algorithm of Particle Swarm Optimization (PSO). The system availability is optimized by evaluating the optimal values of failure and repair rate parameters concerned with the subsystem of the system.Design/methodology/approachMathematical modeling of the multi-state repairable system is performed to develop the first-order differential equations based on the exponential distribution of the failure and repair rates. These differential equations are recursively solved to obtain the availability under normalizing conditions. The availability of the system is optimized by using the PSO algorithm. The results obtained by PSO are validated by using the Genetic Algorithm (GA).FindingsThe availability analysis of the system concludes that the cane preparation (F1) is critical of the crushing system and the optimized availability of the system using PSO is achieved as high as 87.12%.Originality/valueA crushing system of the sugar plant is evaluated as it is the main system of the sugar plant. The maintenance data associated with failure and repair rate parameters were analyzed with the help of maintenance records/logbook and by conducting personal meetings with maintenance executives of the plant. The results obtained in the paper helped them to plan maintenance strategies accordingly to get optimal system availability.
Studying approaches: samples in China, Kuwait, and USA
Authors: Fusilier Marcelline , Bhuyan Rafiqul , Russell John , Lin Shan , Yang Shuai 
Published: February 2021

PurposeStudent approaches to studying were explored in business courses with samples in China, Kuwait and the USA. Information on approaches to studying is critical as delivery and content of educational practices are increasingly adapted to different world regions.Design/methodology/approachThe Revised Approaches to Studying Inventory (RASI) was administered to address the extent to which students focused studying on deep learning of concepts, surface learning/memorization of material or strategic maximization of grades.FindingsResults suggested (1) acceptable reliability for the RASI scales, (2) higher mean scores on deep, surface and strategic approaches for the Kuwait versus the China or USA samples, and (3) an interaction effect between country sample and strategic studying on the dependent variable of reported grade point average.Originality/valueThe research focuses on student initiative in the educational process. Also, comparative evidence from the Middle Eastern context is provided. This area has received relatively little attention in the literature.
Siting refugee camps in mainland Greece using geographic information systems-based multi-criteria decision-making
Authors: Denekos Sotirios N. , Koutsoukis Nikitas-Spiros , Fakiolas Efstathios T. , Konstantopoulos Ioannis , Rachaniotis Nikolaos P. 
Published: February 2021

PurposeRefugee camps are not easily welcomed by local communities. The purpose of this paper is to outline a structured approach to support the decision-making process for siting refugee camps in mainland Greece using multiple criteria, including local opposition. A suitability analysis generates a list of potential sites and a multiple criteria evaluation is applied. The motivation is the development of a methodology that can support choices and policies regarding the refugee camps siting problem, incorporating the need to address local opposition.Design/methodology/approachThe proposed methodology combines geographic information systems (GIS) with multiple criteria decision-making (MCDM) techniques. These are used to develop a location classification and ranking model based on related criteria and subcriteria, attributes and weights. The region of Peloponnese in Greece is selected as a case study to validate the approach.FindingsThe lack of predefined candidate sites for refugee camps necessitates, initially, tackling a site search problem to generate a pool of potential sites through a suitability analysis. Subsequently, using the GIS the pool yields a subset of potential sites, satisfying all the criteria to setup a refugee camp. Through the current analysis the suitability of the single existing refugee camp site in Peloponnese can be evaluated. Finally, a “with and without” analysis, excluding the social criterion, depicts the changes in the candidate sites pool and their scores.Research limitations/implicationsThere is a lack of relevant literature taking into account the local opposition or sociopolitical implications as decision criteria. The selection of the appropriate criteria is a complex process that involves the cooperation of many experts. The main criteria, subcriteria and their attributes were determined according to existing literature and authors' informed judgment.Originality/valueThe proposed methodology can help decision-makers to setup a decision-making system and process for identifying refugee camps' sites using multiple criteria, including local opposition.
Investigating the impact of knowledge sharing system on workplace deviance: a moderated mediated process model in Indian IT sector
Authors: Malik Pooja , Malik Parul 
Published: February 2021

PurposeThis study aims to ascertain the impact of perceived knowledge sharing systems on destructive and constructive deviance through employee engagement. Also, this study explores the moderating role of perceived organizational support (POS).Design/methodology/approachData were collected from 403 entry-level IT employees. Structural equation modeling and PROCESS macro by Preacher and Hayes were used to examine the proposed hypotheses.FindingsResults specified a significant impact of perceived knowledge sharing systems on employee engagement, which in turn, exhibited a negative relationship with a destructive and positive relationship with constructive deviance, respectively. Results revealed that employee engagement significantly mediated the relationship between perceived knowledge sharing systems and destructive and constructive deviance. Concerning moderating role of POS, it was found that at a high level of POS, the effect of knowledge sharing systems on employee engagement was significant in a positive direction and reached its highest level. Finally, for moderated mediation, results only supported the indirect effects of knowledge sharing systems on destructive deviance through employee engagement at different levels of POS.Research limitations/implicationsThis study infers that IT organizations must implement measures to enhance employee engagement and POS by investing in embedded knowledge sharing systems. This will not only cater to the customized needs of employees but will also reduce destructive deviance and stimulate constructive deviance.Originality/valueGiven a few studies integrating workplace deviance, this is the first study that proposes an integrated process model to overcome destructive and stimulate constructive deviance among IT employees by assessing the role of knowledge sharing systems as an antecedent, employee engagement as a mediator and POS as a moderating variable.
Feedback effects of economic growth on innovation: a country-level empirical study
Authors: Thangavelu Senthilkumar , Gunasekar Sangeetha , Jyotishi Amalendu 
Published: February 2021

PurposeThe purpose of this paper is to understand the nature of the feedback effects of economic growth on innovation. The question is whether the economies with higher levels of endowments have a declining feedback effect of income on innovation and contribute to the development of effective innovation policies are raised.Design/methodology/approachThis study hypothesizes that innovation input’s response to economic growth in terms of income is an inverted “U” shaped path, whereas the innovation output’s response to income is positive and asymptotic. This paper uses the global innovation index data of 154 countries over the period 2013–2017 on innovation and gross domestic product for the analysis using the fixed-effect regression models.FindingsThe results confirmed the inverted U shaped relationship in the line of Kuznets’s curve for innovation input and that of negative slope and asymptotic behaviour for innovation output.Research limitations/implicationsIn this study, the analysis performed using the global innovation index 2013–2017 data. This study can be extended at each factor level to understand this phenomenon in depth with more data and to help in improving the innovation policies for the betterment of the economic growth.Practical implicationsThis study suggests that developed countries need to guard against complacency in their innovation efforts because of the asymptotic nature exhibited through the effective development of innovation policies. The developing economies can look forward to establishing themselves in the domains of innovation input through imitation of technologies.Originality/valueThis paper extends the study of feedback effects of economic growth on innovation. This study brings out the nature of feedback effects of economic growth on input innovation and output innovation activities. The results show a declining feedback effect of income on innovation in economies with a higher level of endowments and highlight the inclusion of feedback effects of economic activities on the innovation while designing the innovation and economic policies of a country.
Effect of different temperature distribution on multi-stack BGA package
Authors: Tung Lun Hao , Ng Fei Chong , Abas Aizat , Abdullah M.Z. , Samsudin Zambri , Tura Ali Mohd Yusuf 
Published: February 2021

Purpose
This paper aims to determine the optimum set of temperatures through correlation study to attain the most effective capillary flow of underfill in a multi-stack ball grid array (BGA) chip device.

Design/methodology/approach
Finite volume method is implemented in the simulation. A three-layer multi-stack BGA is modeled to simulate the underfill flow. The simulated models were well validated with the previous experimental work on underfill process.

Findings
The completion filling time shows high regression R-squared value of up to 0.9918, which indicates a substantial acceleration on the underfill process because of incorporation of thermal delta. An introduction of 11 °C thermal delta to the multi-stacks BGA managed to reduce the filling time by up to 16.4%.

Practical implications
Temperature-induced capillary flow is a relatively new type of driven underfill designed specifically for package on package BGA components. Its simple implementation can further improve the productivity of existing underfill process in the industry that is desirable in reducing the process lead time.

Originality/value
The effect of temperature-induced capillary flow in underfill encapsulation on multi-stacks BGA by means of statistical correlation study is a relatively new topic, which has never been reported in any other research according to the authors’ knowledge.
Predicting future diseases based on existing health status using link prediction
Authors: Shabaz Mohammad , Garg Urvashi 
Published: February 2021

Purpose
The purpose of this paper is to predict future diseases based on existing health status using link prediction and explores how long the link survives.

Design/methodology/approach
The authors aimed to compare SULP with other approaches of link prediction especially DLS and try to find which one is better on parameters like AUROC and precision over disease–disease network data set. The implementation is done over MATLAB.

Findings
The authors have found that on the parameters such as AUROC and precision, SULP performs better. The AUROC value of SULP is 0.9805 and lies in between the standard value of 0.5 and 1 and precision value is 0.76.

Originality/value
The approach is novel and is applicable on almost every type of network model.
Parental involvement in the education of their children with disabilities in primary schools of Bahir Dar, Ethiopia: Do education, income and employment status matter?
Authors: Wondim Mebrat G. , Asrat Getahun Dawit , Golga Dawit Negassa 
Published: February 2021

AbstractThis study explored the extent of parental involvement (PI) in the education of children with disabilities (CwDs), focusing on the influence of parents’ socio‐economic status (SES) on their involvement, and guided by Epstein’s PI framework. Data were collected using a questionnaire designed to measure six dimensions of PI from 143 parents (n = 143) and analysed using descriptive and inferential statistics. Analysis revealed that among the six dimensions (parenting, communicating, volunteering, learning at home, decision‐making and collaborating) 'parenting' is more prevalent than others. Further ranking of the means of dimensions proved that parental participation in ‘parenting’ was the top‐ranked one, while the ‘decision‐making’ and ‘volunteering’ were the lower ranked dimensions. Significant differences were observed in PI based on employment and income status. However, no significant difference in PI was found for parents at different levels of education. Thus, irrespective of SES, the study found parents appeared to have minimal involvement in their child’s education. Similarities and divergence from previous research are highlighted. Educative programmes designed to help parents discharge their multifaceted responsibilities and support their child's education is a key recommendation.
Transitioning towards inclusion: a triangulated view of the role of educational assistants
Authors: Bennett Sheila , Gallagher Tiffany , Somma Monique , White Rebecca 
Published: February 2021

AbstractThe current work employs the use of multiple lenses to illuminate the integral role of the Educational Assistant (EA) in a Canadian school district’s transition from a segregated to inclusive service delivery model for students with special needs. Often compatible, but also distinctive viewpoints and understandings shape the role of EA in this journey towards inclusive practice in the context of a district that deployed Inclusion Coaches to support educators over the course of five years. Through deductive analysis, qualitative data (interviews, focus groups, blog‐style reflections) were analysed from EAs (n = 6), elementary and secondary school teachers (n = 31), and Inclusion Coaches (n = 13). Findings indicated that the voices of EAs, teachers, and Inclusion Coaches all align on three main themes: necessity of collaboration among educators, coordinated and dedicated time for programming and redefining relationships within the inclusive model. During the transition from segregated classrooms to full inclusion, it is imperative that the role of the Educational Assistant (EA) is understood by administrators, teachers and the EAs themselves. With a more clearly delineated and mutually understood role, EAs and educators can develop collaborative relationships, working towards incorporating differentiation and supporting all students in a diverse learning and social community.
Duckweed protein supports the growth and organ development of mice: A feeding study comparison to conventional casein protein
Authors: Roman B. , Brennan R.A. , Lambert J.D. 
Published: February 2021

AbstractAs global population growth and meat consumption increases, sustainable alternatives to conventional protein‐rich fodder crops for livestock are needed to reduce negative environmental impacts. Duckweed, a small floating aquatic plant, can generate 5 to 10 times higher protein yields than conventional land‐grown crops. Although some in vivo feeding trials with duckweed have been conducted, those measuring animal weight are limited, and those examining organ development are nonexistent. To secure broad acceptance of new protein sources, such controlled studies are critical. This study measured the food intake, growth, and final organ and adipose tissue mass of male CF‐1 mice fed a semi‐purified diet containing casein or diets in which 10% or 25% of the casein was replaced with duckweed protein (DWP). Proximate analysis showed that the DWP preparation used contained 39.9% protein (w/w), and contained all of the essential amino acids with Met as the limiting amino acid. The average growth rates were not significantly different among the treatment groups: 0.21 g/day; 0.24 g/day; and 0.25 g/day for the control, 10%, and 25% DWP protein diets, respectively. The daily food intake of both DWP diets was 6.5% to 8.0% higher than the control diet, but feeding efficiency did not differ among diets. The relative weight of the liver, spleen, kidneys, heart, and epidydimal fat, and colon length were not significantly different between treatment groups. The results from this study show that replacement of up to 25% dietary casein with DWP has no adverse effects on the growth rate and final organ and adipose tissue weights of laboratory mice.Practical ApplicationDuckweed can produce 5 to 10 times more protein per area than land‐grown crops such as soybean. In this study, up to a 25% replacement of casein with duckweed protein had no observable effect on the growth or organ development of laboratory mice. Thus, duckweed has the potential to be used as a protein supplement for livestock, poultry, and fish, thereby decreasing environmental impacts from land‐grown crops used for animal feed.
Blood T cell diversity associated with the prognosis of advanced non‐small cell lung carcinoma treated with first‐line pemetrexed based chemotherapy
Authors: Qian Li , Zhaohui Zhang , Yaping Xu , Zhentian Liu , Zhentao Liu , Qiqi Wang , Yangchun Gu , Yan'e Liu , Wencheng Yin , Fumei Yi , Yanhong Yao , Baoshan Cao , Li Liang 
Published: February 2021

AbstractBackgroundThe tumor microenvironment is associated with prognosis in advanced non‐small cell lung carcinoma (NSCLC). The aim of this study was to explore the relationship between blood T cell diversity and survival of patients treated with pemetrexed‐based chemotherapy for nonsquamous NSCLC.MethodsThis prospective clinical study enrolled 26 patients with advanced NSCLC treated with 4–6 cycles of first‐line pemetrexed combined with platinum‐based therapy. The complementarity‐determining region 3 (CDR3) located in the T cell receptor beta chain (TCR β chain) was captured and deeply sequenced using next‐generation sequencing (NGS) technology, and the correlation between TCR changes and efficacy after chemotherapy was analyzed.ResultsPatients with an inferior quarter diversity index showed a significantly shorter progression‐free survival (PFS) than the others (median, 5.0 months vs. 8.1 months, P = 0.014). After two cycles of chemotherapy, the TCR diversity was significantly higher than the baseline (P = 0.034). Just as with the baseline, patients with an inferior quarter diversity index at the endpoint of cycle 2 showed a shorter progression‐free survival (PFS) than the others (median, 5.0 months vs. 8.4 months, P = 0.024).ConclusionsIn advanced NSCLC patients treated with first‐line pemetrexed combined with platinum, the low level of blood TCR diversity at baseline with an endpoint of two cycles of chemotherapy was correlated with a poor prognosis.
Durvalumab‐induced lesions of bronchiolitis and fully reversible bronchiectasis in a patient with non‐small cell lung cancer: A case report
Authors: Domblides Maël , Geier Margaux , Decroisette Chantal , Descourt Renaud 
Published: February 2021

AbstractDurvalumab is a humanized monoclonal antibody targeting programmed cell death ligand‐1 (PD‐L1), leading to an antitumor activity, used as consolidation therapy in patients with locally advanced unresectable non‐small cell lung cancer (NSCLC). Several immune‐related adverse events (irAEs) have previously been described in patients following treatment with immune checkpoint inhibitors (ICIs). To the best of our knowledge, we report the first case of immunotherapy‐induced fully reversible bronchiolitis and bronchiectasis, despite the fact that its pathophysiological mechanism has been previously considered to be irreversible.