bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prominent scholars in Islamic economics and allied disciplines: a bibliometric review
Authors: Akbar Mohamed Aslam , Mohd Thas Thaker Mohamed Asmy , Mohammed Mustafa Omar , Nik Mat Nik Hziman , Abd.Aziz Hassanuddeen 
Published: November 2023

Purpose
The purpose of this study is to address the lack of a proper database or finding system for scholars of Islamic economics (IE), as well as the dearth of literature on bibliographic search and trend analyses of scholars in this field. This study aims to adopt a bibliometric review of the bibliography of experts in IE and scholars in disciplines allied to IE.

Design/methodology/approach
This study adopts a bibliometric review of the bibliography of experts in IE and scholars in disciplines allied to IE. The researchers collected data on scholars’ profiles and scholarly works and analyzed them to identify trends and patterns.

Findings
This study presents two main themes: the profiles of the scholars in IE and allied disciplines, and their scholarly works. The findings on the scholars’ profiles reveal that most scholars are contemporaries born between the 1940s and 1990s, concentrated in Malaysia and affiliated with the International Islamic University Malaysia. Regarding their scholarly works, the majority of their efforts resulted in 11,736 materials in the form of books, articles and conference papers spread across 13 sub-areas in IE.

Originality/value
This study fills the gap in literature by providing a database and finding system for scholars in IE and conducting a bibliographic search and trend analysis of scholars in this field. The findings shed light on the profiles of scholars and their scholarly works, which can guide future research in this area.
Impact of gender discrimination on young Indian women’s mental health: do benevolent childhood experiences play any role?
Authors: Jadhav Bhoomika N. , Padma Sri Lekha P. , Abdul Azeez E.P. , Sharma Jyoti , Yadav Archana , Begam J. Mufina 
Published: November 2023

Purpose
Gender discrimination exists in various settings globally and harms women’s mental health. This study aims to understand the impact of gender discrimination on hopelessness and emotional vulnerability. Further, we attempted to determine whether benevolent childhood experiences (BCEs) moderate the relationships of gender discrimination with hopelessness and emotional vulnerability.

Design/methodology/approach
Data from 445 young women from India was gathered from a cross-sectional survey. Measures included gender discrimination inventory, Beck’s hopelessness inventory, emotional vulnerability scale and BCE scale.

Findings
Results yielded a significant positive association of gender discrimination with hopelessness and emotional vulnerability. BCEs were negatively related to hopelessness, emotional vulnerability and gender discrimination. Further, gender discrimination predicted increased feelings of hopelessness and emotional vulnerability. However, BCEs do not neutralize the effect of gender discrimination.

Social implications
It is evident from this study that gender discrimination exists independent of socioeconomic class, domicile and educational qualification, taking a toll on women’s well-being and mental health. Incorporating attitudinal changes at the community and societal level in reducing gender norms responsible for negative outcomes will allow women to function to their full capacity and experience improved mental health.

Originality/value
The research on gender discrimination and its impact on women’s mental health is limited, especially exploring the role of BCEs. Previous studies have indicated that BCEs have protective roles in neutralizing adversities. However, the present study uniquely contributes to establishing the limited role of BCEs in the context of gender discrimination, though it contributes to mental health. The policy and psychosocial implications of the study are discussed.
Application of biosensors against food-borne pathogens
Authors: Singh Lochan , Sharanagat Vijay Singh 
Published: November 2023

Purpose
Nature and occurrence of food-borne pathogens in raw and processed food products evolved greatly in the past few years due to new modes of transmission and resistance build-up against sundry micro-/macro-environmental conditions. Assurance of food health and safety thus gained immense importance, for which bio-sensing technology proved very promising in the detection and quantification of food-borne pathogens. Considering the importance, different studies have been performed, and different biosensors have been developed. This study aims to summarize the different biosensors used for the deduction of food-borne pathogens.

Design/methodology/approach
The present review highlights different biosensors developed apropos to food matrices, factors governing their selection, their potential and applicability. The paper discusses some related key challenges and constraints and also focuses on the needs and future research prospects in this field.

Findings
The shift in consumers’ and industries’ perceptions directed the further approach to achieve portable, user and environmental friendly biosensing techniques. Despite of these developments, it was still observed that the comparison among the different biosensors and their categories proved tedious on a single platform; since the food matrices tested, pathogen detected or diagnosed, time of detection, etc., varied greatly and very few products have been commercially launched. Conclusively, a challenge lies in front of food scientists and researchers to maintain pace and develop techniques for efficiently catering to the needs of the food industry.

Research limitations/implications
Biosensors deduction limit varied with the food matrix, type of organism, material of biosensors’ surface, etc. The food matrix itself consists of complex substances, and various types of food are available in nature. Considering the diversity of food there is a need to develop a universal biosensor that can be used for all the food matrices for a pathogen. Further research is needed to develop a pathogen-specific biosensor that can be used for all the food products that may have accuracy to eliminate the traditional method of deduction.

Originality/value
The present paper summarized and categorized the different types of biosensors developed for food-borne pathogens.

Graphical abstract
Regulatory constraints, responsibilities and consultation (CRC) for legal institutionalization of cryptocurrencies in Pakistan
Authors: Khan Rahman Ullah , Ullah Karim , Atiq Muhammad 
Published: November 2023

Purpose
This study aims to synthesize the existing literature with insights gained from interviews conducted with regulatory experts. The objective is to analyse the challenges associated with incorporating cryptocurrencies into regulatory frameworks and to explore constraints in the regulatory institutionalization of cryptocurrencies.

Design/methodology/approach
The study methodology consists of two steps. The first step is to identify regulatory constraints in the literature review and in the next step, interviews are conducted with officials of the State Bank of Pakistan (SBP). The study used a qualitative case study methodology, in which a single case (regulatory constraint) was selected as a unit of analysis.

Findings
The findings show that lack of traceability, legal status, lack of governmental control due to decentralization, difficulty enforcing laws, volatility, lack of skills with regulators and difficulty integrating cryptocurrencies into the current financial system are the main obstacles to the introduction of a regulatory framework. Thus, on a broader conceptual level, the findings can be grouped into opportunism, lack of strategic capability and fragmented global laws.

Research limitations/implications
This study could inform global cryptocurrency regulation discussions, sharing a developing country’s views on balancing the government, central banks, the financial sector and public interests. This could guide countries to consider cryptocurrency adoption in similar situations. This could affect the cryptocurrency market, impacting demand, supply and investor trust in Pakistan.

Practical implications
The study has implications for policy making officials. The research aims to offer valuable insights to the SBP and other regulatory authorities, helping them identify potential risks and create an effective regulatory framework for cryptocurrencies.

Social implications
The study has implications for society in knowing about the volatile nature of cryptos and anonymity of their issuers, which poses regulatory constraints. This then implies its harmfullness to its traders and the huge losses that may arise from their trading due to its volatile nature.

Originality/value
This study contributes to the literature on the constraints, responsibilities and consultation framework of cryptocurrency regulations.
Handle with care; considerations of Braun and Clarke's approach to thematic analysis
Authors: Hole Lee 
Published: November 2023

PurposeThe purpose of this paper is to support potential users of thematic analysis (as outlined by Virginia Braun and Victoria Clarke). Researchers with the intention of applying thematic analysis are advised to consider the theoretical framework of their work and how differing ontological and epistemological standpoints influences their approach to thematic analysis.Design/methodology/approachThis paper considers aspects of the work that has been done around thematic analysis to guide future potential users. The flexibility, recipe-like use and ease of thematic analysis are discussed, along with guidance being offered to avoid the seemingly common trip hazards of navigating the approach.FindingsUsers of thematic analysis seemingly continue to cite Braun and Clarke's thematic analysis whilst repeatedly contradicting the guidance of their work.Practical implicationsReaders of this paper that intend on using thematic analysis will be redirect to further learning, personal reflection and adjustments to the way in which they engage with, utilise and report their qualitative work using Braun and Clarke's approach to thematic analysis.Social implicationsIt is possible that past research that has been reported as using Braun and Clarke's approach to thematic analysis has been misinterpreted, misunderstood and misused. This as a result of researchers potentially having failed to embrace the need to engage in reflexive, epistemological and ontologically clear processes during the use of thematic analysis.Originality/valueWhile Braun and Clarke's approach to thematic analysis seems to have developed a significant level of popularity and use, the finer but impactful understanding of the approach has been overlooked. Other work has been done in relation to thematic analysis but there has not been anything to support thinking and learning around the suitable, accurate and knowledgeable use of the approach.
The role of contextual voice efficacy on employee voice and silence
Authors: Huang Xu , Wilkinson Adrian , Barry Michael 
Published: November 2023

AbstractGiven recent studies have begun to question the siloed nature of employee voice research this paper attempts to theorise the boundaries between Organisational Behavior (OB), Human Resource Management (HRM) and Industrial and Employment Relations (I/ER) voice. Researchers examine specific organisational contexts that may influence employees' voice behavior, with OB researchers paying particular attention to the micro contextual influences of leadership behavior and psychological safety climate on individual voice behavior; HR researchers emphasizing the meso role of HR practices that may facilitate employee voice; and I/ER researchers focusing more on how macro institutional supports such as unions and collective bargaining can protect employees and facilitate voice. The paper proposes a model of “contextual voice efficacy” as a bridge between these disparate literatures, and develops propositions as to how OB, HR and I/ER voice mechanisms can combine together in a single model.
Representing personal and common futures: Insights and new connections between the theory of social representations and the pragmatic sociology of engagements
Authors: Wallace Ross , Batel Susana 
Published: November 2023

AbstractTo understand social issues and practices such as those related to climate change and technological change that are clearly future‐oriented – collectively experienced events that are “not yet” – and co‐constructed by different actors, we need nuanced conceptualizations of how people think about, negotiate and co‐create futures that allow us to understand not only what people (can) think and do about future‐related issues but also how that happens, what for and with which implications. However, so far, one of the key theoretical approaches that has conceptualised how people make meaning in situations of change and uncertainty – the socio‐psychological social representations theory (SRT) – has not often engaged with the future or with different forms of temporality. By contrast, the French pragmatic sociology of engagements and critique (PS) has engaged with these notions, conceptualising them in relation to materiality and a plurality of moral orientations – two dimensions often seen as key to how collective futures are made and imagined. To offer a more nuanced and systematic conceptualization of how people represent the future and with what consequences, this paper will present, compare and synthesise SRT and PS, as a first step towards an interdisciplinary research agenda on social change and representations of the future.
Human Circovirus is not detected in plasma pools for fractionation
Authors: Pérot Philippe , Da Rocha Nicolas , Farcet Maria R. , Kreil Thomas R. , Eloit Marc 
Published: November 2023

AbstractBackgroundHuman Circovirus 1 and 2 were recently described in a French hepatitis case and in two Chinese drug users. Because of its small size and presumable high resistance to both inactivation and removal by nanofilters, such viruses—if determined to be even pathogenic—should be considered with respect to the safety of plasma derivatives. We, therefore, investigated the prevalence and titer of these viruses in plasma pools before fractionation.Methods and MaterialsWe tested for the presence of Human Circovirus 1 and 2 by qPCR in 48 plasma pools derived from healthy donors from Europe, USA, and Japan, corresponding to more than 200,000 plasma donations.ResultsWe did not detect the presence of Human Circovirus 1 and 2 in any of the plasma pools, with a limit of detection of 300–600 genome copies per mL of plasma.ConclusionsThese results indicate that high levels of circovirus are not widely prevalent in such donations.
Numerical Investigations of Turbulent Flow Through a 90-Degree Pipe Bend and Honeycomb Straightener
Authors: Jurga Agata Patrycja , Janocha Marek Jan , Ong Muk Chen , Yin Guang 
Published: November 2023

Abstract
Pipe bends are commonly used in piping systems in offshore and subsea installations. The present study explores the design considerations for the honeycomb straightener inserted downstream of a 90-degree pipe bend. The objective of the study is to evaluate the effectiveness of the honeycomb in suppressing the flow swirling for different distances from the bend outlet (Lb) and different values of the honeycomb thickness (t). The turbulent flow through the 90-degree circular pipe bend with the honeycomb straightener is investigated by carrying out numerical simulations using the Reynolds-averaged Navier–Stokes (RANS) turbulence modeling approach. The explicit Algebraic Reynolds Stress Model (EARSM) is adopted to resolve the Reynolds stresses. The honeycomb thickness to pipe diameter ratio (t/D) is varied between 0.1 and 1. The normalized distance from the bend outlet to the honeycomb straightener (Lb/D) is varied between 1 and 5. The disturbance in the velocity field is generated by the pipe bend with the curvature radius to pipe diameter ratio (Rc/D) of 2 and Reynolds number (Re) of 2 × 105. It is found that both the increase in Lb/D and t/D improve the performance of the device in removing the swirl behind the bend outlet. The best performance is observed for the honeycomb straightener with the distance Lb/D=5 and thickness t/D=0.5.
Instability of Poiseuille Flow in a Bidisperse Porous Medium Subject to a Uniform Vertical Throughflow Effect
Authors: Hajool Shahizlan Shakir , Harfash Akil J. 
Published: November 2023

Abstract
In this article, we investigate the influence of the vertical throughflow Reynolds number on the instability of Poiseuille flow in a bidisperse porous medium. The Brinkman model was employed to describe fluid flow in the porous medium with large pores, referred to as “macropores,” while the Darcy model was utilized for fluid flow in the porous medium with small pores, referred to as “micropores”. The resulting eigenvalue system was solved using the Chebyshev collocation method (CCM), renowned for its accuracy and flexibility, rendering it one of the most reliable methods available. Regardless of its direction, the impact of the vertical throughflow Reynolds number on system instability is not uniform; it exhibits a dual nature, acting as a destabilizing factor at specific values while serving as a stabilizing influence at others. In the case of the permeability ratio, porous parameter, and interaction parameter, our observations indicate that elevating these parameters results in an enhancement of system stability.
0D Modeling of Dry-Electrical Discharge Machining Plasma Discharge
Authors: Mujumdar Soham , Bayki Shayan 
Published: November 2023

Abstract
There is a growing interest in developing the dry electrical discharge machining (EDM) process as a sustainable alternative to the conventional liquid dielectric-based EDM process. It is shown that the dry EDM process possesses advantages over the conventional process in terms of thermal damage, recast layer, and tool wear. However, there is a need to increase the productivity of the dry EDM process for its successful adaptation in the industry. This paper presents a dry EDM plasma discharge model with air as the dielectric medium. The model uses global modeling (0D) approach in which equations of mass balance, energy balance, and plasma expansion are solved simultaneously to obtain a time-dependent description of the plasma in terms of its composition, temperature, diameter, and heat flux to electrodes. The model includes reaction kinetics involving 622 reactions and 55 species to determine the air plasma composition. A single discharge dry EDM operation is successfully simulated using the model, and the effects of the interelectrode gap and discharge current on the plasma are studied. An increase in the interelectrode gap decreases the average electron density, plasma temperature, and heat flux. On the other hand, an increase in the discharge current increases the electron density, temperature, and diameter of the plasma linearly, while heat flux to the workpiece increases exponentially. Overall, the model provides an essential tool to study the dry EDM process mechanisms at a fundamental level and devise methods for process improvements.
Data-Efficient Surrogate Model for Rapid Prediction of Temperature Evolution in a Microscale Selective Laser Sintering System
Authors: Grose Joshua , Liao Aaron , Foong Chee Seng , Cullinan Michael 
Published: November 2023

Abstract
Current metal additive manufacturing (AM) systems suffer from limitations on the minimum feature sizes they can produce during part formation. The microscale selective laser sintering (μ-SLS) system addresses this drawback by enabling the production of parts with minimum feature resolutions of the order of a single micrometer. However, the production of microscale parts is challenging due to unwanted heat conduction within the nanoparticle powder bed. As a result, finite element (FE) thermal models have been developed to predict the evolution of temperature within the particle bed during laser sintering. These thermal models are not only computationally expensive but also must be integrated into an iterative model-based control framework to optimize the digital mask used to control the distribution of laser power. These limitations necessitate the development of a machine learning (ML) surrogate model to quickly and accurately predict the temperature evolution within the μ-SLS particle bed using minimal training data. The regression model presented in this work uses an “Element-by-Element” approach, where models are trained on individual finite elements to learn the relationship between thermal conditions experienced by each element at a given time-step and the element's temperature at the next time-step. An existing bed-scale FE thermal model of the μ-SLS system is used to generate element-by-element tabular training data for the ML model. A data-efficient artificial neural network (NN) is then trained to predict the temperature evolution of a 2D powder-bed over a 2 s sintering window with high accuracy.
Acoustic Assembly Photopolymerization of Bioinspired Multimaterial Hierarchical Films With Programmable Adhesion
Authors: Lichade Ketki M. , Pan Yayue 
Published: November 2023

Abstract
Devices with stimuli-responsiveness, programmable and reversible adhesion, and adaptability to uneven surfaces have attracted extensive attention for applications such as microgrippers and soft robots. Despite recent advances, challenges still exist in rapid shape morphing, noncontact control, and reversible switching between attachment and detachment. Fundamentally, those challenges are owing to the material limitation, manufacturing constraints, and design complexity involved in the production of those devices. To overcome these challenges, we report a simple and rapid manufacturing approach, acoustic assembly photopolymerization (AAP), for the production of magnetic-responsive devices with programmable and reversible adhesion. The proposed AAP process provides an environmentally sustainable approach to fabricating micro- to macroscale multimaterial films with hierarchical surface features within seconds. The locally controlled composition enables precise magnetic control, while the flexible hierarchical surface structures allow rapid attachment and detachment. The combined effects of material and structural composition enable remarkable control over the adhesive property without requiring any complicated treatment and power source. In this work, a photocurable magnetic composite material was developed, and the adhesion programmability of the printed films was investigated. As a proof of concept, test cases were performed, including soft magnetic robots and untethered grippers. The results indicated the promising applications of such AAP-printed films, with the advantages of programmable adhesion, locally engineered flexibility, rapid, and remote noncontact magnetic actuation. The AAP manufacturing capability and the proposed multimaterial hierarchical film design possess a broad range of applications, including surface engineering, soft robotics, and microfluidics.