bluuebunny/crossref_metadata_2025 huggingface dataset:
Modifiable Risk Factors for Stroke, Dementia, and Late-Life Depression: A Systematic Review and DALY Weighted Risk Factors for a Composite Outcome
Authors: Senff Jasper R. , Tack Reinier W.P. , Mallick Akashleena , Gutierrez-Martinez Leidys , Duskin Jonathan , Kimball Tamara N. , Chemali Zeina , Newhouse Amy , Kourkoulis Christina , Rivier Cyprien , Falcone Guido J , Sheth Kevin N , Lazar Ronald M , Ibrahim RN Sarah , Pikula Aleksandra , Tanzi Rudolph E. , Fricchione Gregory , Brouwers H. Bart , Rinkel Gabrël J.E. , Yechoor Nirupama , Rosand Jonathan , Anderson Christopher D. , Singh Sanjula D.
Published: July 2024

Background

At least 60% of stroke, 40% of dementia, and 35% of late-life depression (LLD) are attributable to modifiable risk factors, with great overlap due to a shared underlying pathophysiology. This study aims to systematically identify overlapping risk factors for these diseases and calculate their relative impact on a composite outcome.

Methods

A systematic literature review was performed in Pubmed, Embase, and PsycInfo, between January 2000 and September 2023. We included meta-analyses reporting effect sizes of modifiable risk factors on the incidence of stroke, dementia, and/or LLD. The most relevant meta-analyses were selected, and Disability Adjusted Life Year (DALY) weighted beta-coefficients were calculated for a composite outcome. The beta-coefficients were then normalized to assess relative impact.

Results

Our search yielded 182 meta-analyses meeting the inclusion criteria, of which 59 were selected to calculate DALY-weighted risk factors for a composite outcome. Identified risk factors included alcohol use (normalized beta-coefficient highest category: -20), blood pressure (87), BMI (42), fasting plasma glucose (57), total cholesterol (14), leisure time cognitive activity (-54), depressive symptoms (34), diet (27), hearing loss (35), kidney function (60), pain (25), physical activity (-34), purpose in life (-30), sleep (44), smoking (58), social engagement (32), and stress (32).

Discussion

This study identified overlapping modifiable risk factors and calculated the relative impact of these factors on the risk of a composite outcome of stroke, dementia, and LLD. These findings could guide preventative strategies and serve as an empirical foundation for future development of tools that can empower people to reduce their risk of these diseases.

Funding

US National Institutes of Health and American Heart Association.
Associations between social network characteristics and COVID-19 vaccination intention – the SaNAE study
Authors: Steijvers Lisanne CJ , van Bilsen Céline JA , Brinkhues Stephanie , Stutterheim Sarah E , Crutzen Rik , Ruiter Robert AC , Hoebe Christian JPA , Dukers-Muijrers Nicole HTM
Published: July 2024

Background

Social networks, our social relationships, play a role in the spread of infectious diseases but also in infection prevention behaviors such as vaccination. Here, we aimed to assess which individual, interpersonal (social network characteristics), community and societal factors are associated with COVID-19 vaccination intention during the second wave of the COVID-19 pandemic.

Methods

The cross-sectional study utilized online questionnaire data collected between August and November 2020 in community-dwelling adults aged 40 years and older. COVID-19 vaccination intention was measured by assessing whether respondents were willing to receive a COVID-19 vaccination if the vaccines became available. At the time of data collection, vaccines were still in development. Associations between individual (sociodemographic variables, health, health concerns), interpersonal (social network characteristics including structure, function, and quality), community (social and labor participation) and societal factors (degree of urbanization), and the outcome variables COVID-19 vaccination intention (yes vs no, yes vs unsure, unsure vs no) were assessed in stepwise multivariable regression analyses.

Results

Of all participants (N=3,396), 59% reported a positive intention to vaccinate against COVID-19, 35% were unsure, and 6% had no intention. Men, individuals of older age, those with a college or university degree, and those concerned about their personal and family health were more likely to have the intention to vaccinate. Interpersonal factors associated included having a larger network size (social network structure) and a larger proportion of informational and emotional supporters (social network function). Living outside of urban areas, a societal factor was also associated with the intention to vaccinate.

Conclusion

In this study, we determined key characteristics of COVID-19 vaccination intention. Health promotion and vaccination communication strategies should focus not only on individual factors but also incorporate the social environment. Our findings highlight the importance of organizing social networks to mobilize social support for pandemic preparedness.
Perceived levels of mental health service accessibility and associated factors among psychiatric outpatients in Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia, 2024
Authors: Ayenew Surafel , Haile Kibrom , Leyew Weldehawariat , Abate Solomon , Chaka Asrat
Published: July 2024

Background

We live in multifaceted, dynamic and interconnected world in which the importance of physical, mental, and social wellbeing has not been well emphasized. Given the intricate nature of life, it is clear that mental health is essential to the welfare of people, communities, nations, and the entire planet. The main tactic to address unmet mental health needs has been to integrate psychiatric treatment into primary care, however this approach has been ineffective, and psychiatric services have been concentrated in Ethiopia and other major cities in sub-Saharan Africa. This study aimed to assess the perceived levels of mental health service accessibility and associated factors among psychiatric outpatients at Amanuel mental specialized hospital, Addis Ababa, Ethiopia, 2024.

Objective

To assess the perceived levels of mental health service accessibility and associated factors among psychiatric outpatients at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia, 2024.

Methods

Institution-based cross-sectional study were employed from 03 January, to 03 February 2024. A total of 415 participants were participated. A systematic sampling technique was used. Binary logistic regression model was fitted to identify the factors associated with service accessibility. Adjusted odds ratio (AOR) with 95% confidence interval (CI) and p-value less than 0.05 during multivariable logistic regression were used to declare the factors associated with the outcome variable.

Results

The perceived level of mental health service accessibility was 10.4%; 95% CI: (7.5%, 25. 9%).Service accessibility was associated with urban resident [(AOR = 3.563, 95% CI: (1.065, 11.9155)], and Medication access [(AOR = 2.604, 95%CI: (1.220, 5.555)].

Conclusions and recommendations

The study observed that the prevalence of perceived service accessibility was found to be low in this study. Availability of medication and urban resident are the factors associated with perceived level of mental health service accessibility. There is a need to have proper coordination and cooperation among various mental health service providers.
Gender-specific associations of adverse childhood experiences (ACEs) and schizotypal traits – an observational study in healthy young adults
Authors: Christina Kirchhoff , David Riedl , Maria-Sophie Rothmund , Katharina Hüfner , Gabrielle Scantamburlo , Felix Scholtes , Marius Brandenberg , Anna Steiner , Noemi Dannecker , Werner Surbeck , Philipp Homan
Published: July 2024

Background and Hypotheses

Schizotypy is a complex model containing a broad spectrum of personality traits that can be observed in the general population as well as in psychiatric patients. There is compelling evidence that Adverse Childhood Experiences (ACEs) are correlated with schizotypal traits in healthy individuals. We hypothesize that associations between specific forms of abuse and distinct schizotypal traits will demonstrate gender-specific differences.

Study Design

The present study relies on a dataset designed and collected for the VELAS-study (VELAS: Ventral language stream in schizophrenia with regard to semantic and visuo-spatial processing anomalies) in Zurich, Switzerland. Young adults completed an online questionnaire which included the Childhood Trauma Questionnaire (CTQ) and the Oxford-Liverpool Inventory of Feelings and Experiences (O-LIFE). To test individual associations, gender-specific linear regression models were calculated.

Study Results

A total of 597 healthy young adults completed the online questionnaire. Gender-specific linear regression models revealed strong associations of emotional abuse with all schizotypal traits in both sexes with stronger effect sizes for male subjects. In men, sexual abuse was associated with Unusual Experiences, while in women it was associated with Disorganisation. Emotional neglect showed an association with Introvertive Anhedonia in both genders, with stronger effect sizes for male than female participants. Physical neglect exhibited an association with Introvertive Anhedonia solely in male subjects.

Conclusions

Our gender-specific results give a deeper insight into associations of ACEs with schizotypal traits and serve as a puzzle piece in understanding risk constellations in the development of schizophrenia spectrum disorders.
Unearthed Novel Molecular Phenotypes and Potential Therapeutic Targets in Esophagogastric Adenocarcinoma
Authors: Windon Annika , Al Assaad Majd , Hadi Kevin , Mendelson Nicole , Hissong Erika , Deshpande Aditya , Tranquille Marvel , Mclee Justin , Patel Minal , Medina-Martínez Juan S. , Chiu Kenrry , Manohar Jyothi , Sigouros Michael , Ocean Allyson J. , Sboner Andrea , Jessurun José , Elemento Olivier , Shah Manish , Mosquera Juan Miguel
Published: July 2024

Background

Esophagogastric adenocarcinoma demands a deeper molecular understanding to advance treatment strategies and improve patient outcomes. Here, we profiled the genome and transcriptome landscape of these cancers, explored molecular characteristics that are invisible to other sequencing platforms, and analyzed their potential clinical ramification.

Methods

Our study employed state-of-the-art analyses of whole genome and transcriptome sequencing on 52 matched tumor and germline samples from 47 patients, aiming to unravel new therapeutic targets and deepen our understanding of these cancers’ molecular foundations.

Results

The analyses revealed 88 targetable oncogenic mutations and fusions in 62% of the patients, and further elucidated molecular signatures associated with mismatch repair and homologous recombination deficiency. Notably, we identifiedCDK12-type genomic instability associated withCDK12fusions, novelNTRK, NRG1, ALK,andMETfusions, and structural variants in relevant cancer genes likeRAD51B.

Conclusions

Our findings demonstrate the power of integrative whole genome and transcriptome sequencing in identifying additional therapeutic targets, supporting a promising path for precision medicine in treating esophagogastric adenocarcinoma.
Magnetotransport of fluxoids in intermediate-phase type-II superconducting NbN thin films around
Tc
Authors: Kanduri Sai Vaishnavi , Vegesna Sahitya V. , Bürger Danilo , Li Zichao , Born Detlef , Schmidt Heidemarie
Published: July 2024

The mixed state transport properties of type-II superconductors are strongly influenced by the dynamic behavior of quantized magnetic fluxoids around the critical temperature (Tc), where a combination of normal and superconducting properties is exhibited. To understand the mixed state transport properties of type-II superconducting NbN ultrathin films (2D) we measured sheet resistance (RxxM) and Hall resistance (RxyM) of a 5-nm-thick NbN film around Tc (10.75 K) at temperatures 10.40, 10.68, and 10.77 K. Hall resistance (HR) was measured in external out-of-plane and in-plane magnetic fields up to 6 T, using 100 µA and 1 mA driving current in Van der Pauw geometry. The electric field of applied bias and Lorentz force of applied external magnetic field causes a movement of the normal conducting electrons within each fluxoid. The moving fluxoids cause dissipation and generation of Hall voltage. We developed a macroscopic analysis of the Hall resistance arising from fluxoids, to advance the differentiation between dissipating current and superconducting currents in type-II superconductors at Tc. We have extracted the number of normal conducting carriers per fluxoid and areal density and mobility of the fluxoids in dependence on the external magnetic field. This differentiation provides valuable insights into the dissipation mechanisms observed during transport measurements, e.g., after localized heating due to single photon absorption in nanostructured type-II superconductors. Furthermore, the developed macroscopic analysis of Hall resistance of fluxoids shows promising potential for investigating the fundamental aspects of fluxoid-defect interactions in type-II superconductors.

Published by the American Physical Society
2024
Exponentially improved efficient machine learning for quantum many-body states with provable guarantees
Authors: Che Yanming , Gneiting Clemens , Nori Franco
Published: July 2024

Solving the ground state and the ground-state properties of quantum many-body systems is generically a hard task for classical algorithms. For a family of Hamiltonians defined on an m-dimensional space of physical parameters, the ground state and its properties at an arbitrary parameter configuration can be predicted via a machine learning protocol up to a prescribed prediction error ɛ, provided that a sample set (of size N) of the states can be efficiently prepared and measured. In a recent work [Huang , ], a rigorous guarantee for such a generalization was proved. Unfortunately, an exponential scaling for the provable sample complexity, N=mO(1ɛ), was found to be universal for generic gapped Hamiltonians. This result applies to the situation where the dimension of the parameter space is large, while the scaling with the accuracy is not an urgent factor, not entering the realm of more precise learning and prediction. In this work, we consider an alternative relevant scenario, where the effective dimension m is a finite, not necessarily large constant, while the scaling with the prediction error becomes the central concern. By jointly preserving the fundamental properties of density matrices in the learning protocol and utilizing the continuity of quantum states in the parameter range of interest, we rigorously obtain a polynomial sample complexity for predicting quantum many-body states and their properties, with respect to the prediction error ɛ and the number of qubits, n, with N=poly(ɛ−1,n,ln1δ), where poly denotes a polynomial function, and (1−δ) is the probability of success. Moreover, if restricted to learning local quantum-state properties, the number of samples can be further reduced to N=poly(ɛ−1,lnnδ). Numerical demonstrations confirm our findings, and an alternative approach utilizing statistical learning theory with reproducing kernel Hilbert space achieves consistent results. The mere continuity assumption indicates that our results are not restricted to gapped Hamiltonian systems and properties within the same phase.

Published by the American Physical Society
2024
Efficient and secure quantum secret sharing for eight users
Authors: Qin Yue , Cheng Jialin , Ma Jingxu , Zhao Di , Yan Zhihui , Jia Xiaojun , Xie Changde , Peng Kunchi
Published: July 2024

Quantum secret sharing (QSS) has emerged as a promising avenue for storing secret with quantum-enhanced security. However, practical applications are hindered by the challenge for simultaneously implementing high-efficiency, high-security, and high-flexibility QSS with multiple users. Here we present an efficient, secure, and flexible QSS involving eight users with a continuous-variable eight-partite bound entanglement (BE) state, where only two nondegenerated optical parameter amplifiers are required. Such abilities are attributed to the generation of the eight-partite BE state with precise phase controlling systems and a large entanglement network, and fiber distribution with polarization-division multiplexing. In the QSS, a higher key rate can be demonstrated, when a secret is extracted through flexible combinations of more collaborative users. Our system may pave the way for the spatially separated multiuser quantum communications, while minimizing quantum hardware.

Published by the American Physical Society
2024
Crystal structure determination and Hirshfeld surface analysis of N-acetyl-N-3-methoxyphenyl and N-(2,5-dimethoxyphenyl)-N-phenylsulfonyl derivatives of N-[1-(phenylsulfonyl)-1H-indol-2-yl]methanamine
Authors: Madhan S. , NizamMohideen M. , Pavunkumar Vinayagam , MohanaKrishnan Arasambattu K.
Published: July 2024

Two new [1-(phenylsulfonyl)-1H-indol-2-yl]methanamine derivatives, namely, N-(3-methoxyphenyl)-N-{[1-(phenylsulfonyl)-1H-indol-2-yl]methyl}acetamide, C24H22N2O4S, (I), and N-(2,5-dimethoxyphenyl)-N-{[1-(phenylsulfonyl)-1H-indol-2-yl]methyl}benzenesulfonamide, C29H26N2O6S2, (II), reveal a nearly orthogonal orientation of their indole ring systems and sulfonyl-bound phenyl rings. The sulfonyl moieties adopt the anti-periplanar conformation. For both compounds, the crystal packing is dominated by C—H...O bonding [C...O = 3.312 (4)–3.788 (8) Å], with the structure of II exhibiting a larger number, but weaker bonds of this type. Slipped π–π interactions of antiparallel indole systems are specific for I, whereas the structure of II delivers two kinds of C—H...π interactions at both axial sides of the indole moiety. These findings agree with the results of Hirshfeld surface analysis. The primary contributions to the surface areas are associated with the contacts involving H atoms. Although II manifests a larger fraction of the O...H/H...O contacts (25.8 versus 22.4%), most of them are relatively distal and agree with the corresponding van der Waals separations.
Research on relative reachable domain in target orbit for maneuvering spacecraft
Authors: Li Xuehua , Zhang Lei
Published: July 2024

Purpose

Lots of successful space missions require that the maneuvering spacecraft can reach the target spacecraft. Therefore, research on relative reachable domain (RRD) in target orbit for maneuvering spacecraft is particularly important and is currently a hot-debated topic in the field of aerospace. This paper aims at analyzing and simulating the RRD in target orbit for maneuvering spacecrafts with a single fixed-magnitude impulse and continuous thrust, respectively, to provide a basis for analyzing the feasibility of spacecraft maneuvering missions and improving the design efficiency of spacecraft maneuvering missions.

Design/methodology/approach

Based on the kinematics model of relative motion, RRD in target orbit for maneuvering spacecraft with a single fixed-magnitude impulse can be calculated via analyzing the relationship between orbital elements, position vector and velocity vector of spacecrafts, and relevant studies are introduced to compare simulation results for the same case and validate the method proposed in the paper. With analysis of the dynamic model of relative motion, the calculation of RRD in target orbit for maneuvering spacecraft with continuous thrust can be transformed as the solution of the optimal control problem, and example emulations are carried out to validate the method.

Findings

For the case with a single fixed-magnitude impulse, simulation results show preliminarily that the method is in agreement with the method in Ref. (Wen et al., 2016), which treats the same case and thus is plausibly correct and feasible. For the case with continuous thrust, analysis and simulation results confirm the validity of the proposed method. The methods based on relative motion in this paper can efficiently determining the RRD in target orbit for maneuvering spacecraft.

Originality/value

Both theoretical analyses and simulation results indicate that the method proposed in this paper is comparatively simple but efficient for determine the RRD in target orbit for maneuvering spacecraft swiftly and precisely.
Accuracy compensation method with the combined dissimilar measurement devices for enhanced measurement quality: a digital aircraft assembly technology
Authors: Miah Md Helal , Singh Chand Dharmahinder , Malhi Gurmail Singh
Published: July 2024

Purpose

The pivotal aspect of aircraft assembly lies in precise measurement accuracy. While a solitary digital measuring tool suffices for analytical and small surfaces, it falls short for extensive synthetic surfaces like aircraft fuselage panels and wing spars. The purpose of this study is to develop a “combined measurement method” (CMM) that enhances measurement quality and expands the evaluative scope, addressing the limitations posed by singular digital devices in meeting measurement requirements across various aircraft components.

Design/methodology/approach

The study illustrated the utilization of the CMM by combining a laser tracker and a portable arm-measuring machine. This innovative approach is tailored to address the intricate nature and substantial dimensions of aircraft fuselage panels. The portable arm-measuring machine performs precise scans of panel components, while common points recorded by the laser tracker undergo coordinate conversion to reconstruct the fuselage panel’s shape. The research outlines the CMM’s measurement procedure and scrutinizes the data processing technique. Ultimately, the investigation yields a deviation vector matrix and chromatogram deviation distribution, pivotal in achieving enhanced measurement precision for the novel CMM device.

Findings

The use of CMM noticeably enhances fuselage panel assembly accuracy, concurrently reducing assembly time and enhancing efficiency compared to conventional measurement systems.

Practical implications

The research’s practical implication lies in revolutionizing aircraft assembly by mitigating accuracy issues through the innovative digital CMM for aircraft synthetic structure type product (aircraft fuselage panel). This ensures safer flights, reduces rework and enhances overall efficiency in the aerospace industry.

Originality/value

Introducing a new aircraft assembly accuracy compensation method through digital combined measurement, pioneering improved assembly precision. Also, it enhances aerospace assembly quality, safety and efficiency, offering innovative insights for optimized aviation manufacturing processes.
ChatGPT in education: unveiling frontiers and future directions through systematic literature review and bibliometric analysis
Authors: Amarathunga Buddhini
Published: July 2024

Purpose

This is a dual-focused study that anticipates qualitatively and quantitatively examining the literature on the recently initiated revolutionizing concept of ChatGPT in education by performing a Systematic Literature Review (SLR) and bibliometric analysis. Current study analyzed eight research questions: (1) the main information and annual scientific publications on ChatGPT in education, (2) the pioneer authors and collaborative authors exploring ChatGPT in education, (3) the authors' productivity through Lotka’s Law of Authors’ Scientific Productivity, (4) the most pertinent sources on ChatGPT in education and how are sources clustered through Bradford’s Law of Scattering, (5) the most related, cited countries and the nature of international collaborations exploring ChatGPT in education, (6) the most relevant publications exploring ChatGPT in education, (7) the most occurring and trending keywords in the empirical studies on ChatGPT in education, and (8) the themes and areas for future investigations on ChatGPT in education.

Design/methodology/approach

The current study was designed as a SLR and bibliometric analysis, extracting articles from the Scopus database and utilizing both Biblioshiny and VOSviewer software for advanced scientific mapping and visualizations via quantitative and qualitative analysis approaches.

Findings

The results indicated that ChatGPT in education is a progressively evolving worldwide concept generating 45 scientific publications from 2023 to 2024 (May). The USA, China, and Indonesia are the most productive countries that have published articles on ChatGPT in education. The education systems, AI, students, educational computing, human experiments, teaching, educational status, chatbots, generative AI, academic integrity, educational technology, worldwide education, and technology acceptance are the pertinent future directions in the field of ChatGPT in education.

Originality/value

The analysis’s outcomes will enhance the area of study with theoretical and practical implications and benefit students, teachers, policymakers, regulators of educational and higher educational sectors, government, and the general public worldwide with effective utilization of ChatGPT in education.
A conceptual exploration of researcher positionality and critical reflexivity in disaster research through the lens of Bourdieu
Authors: Uekusa Shinya
Published: July 2024

Purpose

The purpose of this paper is to deconstruct the current discourse on researcher positionality in disaster research and it aims to enhance disaster researchers’ reflexivity, using Bourdieu’s capital, field and habitus theories.

Design/methodology/approach

This conceptual paper relies on secondary literature from empirical and theoretical works and incorporates critical self-reflection from author’s own research experience.

Findings

As Bourdieu would argue, one’s habitus is interactive and responsive to contexts (field and other agents’ habitus and capital), thus reflexivity requires more than the acknowledgement of one’s ascribed and achieved social characteristics. Bourdieu’s theories help disaster researchers enhance their reflexivity and better understand the nature of researcher positionality: contextual, dynamic and negotiated.

Originality/value

This research provides a critical and theoretical discussion of researcher positionality in disaster research. Drawing from Bourdieu’s theories, researcher positionality can be framed in relation to not only researcher’s structurally differentiated insider–outsider status but also how interactions with the research participants and contexts in which the research is conducted influence that positionality.
Enhancing decision-making in Australian concrete construction: a decision support model using an Entropy-TOPSIS approach
Authors: Pouraghajan Marjan , Omrani Sara , Drogemuller Robin
Published: July 2024

Purpose

This study addresses the global landscape of offsite construction, highlighting its variable adoption patterns and the challenge posed by the prevalent use of suboptimal decision-making methods. In response, the decision-making model seeks to equip decision-makers with tools for well-informed decisions on concrete construction systems, tailored to the unique characteristics of each project, in contrast to the persisting reliance on expert knowledge, checklists or similar tools.

Design/methodology/approach

The study extracts decision-making criteria through literature reviews, pilot studies and surveys amongst Australian construction professionals. A comprehensive comparison of four concrete systems against each identified criterion is conducted, followed by the application of an integrated decision model (Entropy-TOPSIS) to rank the systems, considering all criteria simultaneously. Real-world case studies validate the practical applicability of the model.

Findings

An analysis of 15 criteria demonstrated the multifaceted nature of selecting concrete construction systems, emphasising evolving industry priorities like time efficiency, environmental considerations and logistical constraints. The enduring appeal of in-situ concrete in complex projects underscores the significance of traditional methods. The integration of the Entropy-TOPSIS model proved to be a robust decision-making tool, enabling professionals to simultaneously consider all criteria and make well-informed, customised decisions.

Originality/value

The study’s originality lies in its comprehensive approach, considering diverse criteria and presenting a flexible decision-making model suitable for the dynamic demands of the construction industry.
Exploring the determinants of fashion clothing rental consumption among young Indians using the extended theory of reasoned action
Authors: Kala Devkant , Chaubey Dhani Shanker
Published: July 2024

Purpose

This study aims to explore the influence of external factors and the characteristics of young Indian consumers on their behavioral intention toward fashion clothing rental (FCR), using the theory of reasoned action (TRA) as a theoretical framework.

Design/methodology/approach

This study used quantitative research methods, collecting data from 396 Indian participants, and tested the proposed hypotheses using PLS-structural equation modeling.

Findings

The results indicated that young Indian consumers' favorable attitudes toward FCR are mainly driven by perceived usefulness, novelty-seeking, fashion orientation, narcissism and environmental consciousness. These drivers, together with subjective norms, further lead to their intention to rent fashion clothing. This study also found that perceived risk has a negative impact on consumers' attitudes toward FCR, but minimalism does not significantly affect consumer attitudes.

Originality/value

By integrating additional constructs into traditional TRA, this study contributes to existing literature and provides insight for fashion retailers on the role of consumer characteristics in the adoption of FCR in emerging markets.
Research trends in criteria importance through intercriteria correlation (CRITIC) method: a visual analysis of bibliographic data using the Tableau software
Authors: Krishnan Anath Rau
Published: July 2024

Purpose

Criteria importance through intercriteria correlation (CRITIC) is a multicriteria decision-making method that helps compute the weights of decision criteria by considering the contrast intensity and conflicting relationships inherent in each criterion. This study aims to conduct a bibliometric analysis to provide quantitative insights into the research trends concerning the CRITIC method.

Design/methodology/approach

The study assembled bibliographic data from 220 CRITIC-based publications retrieved from the Scopus database. Subsequently, the gathered data were processed using Tableau software, using specific functions within the software to format them to suit the analysis requirements. Following data preparation, a visual analysis was then conducted based on five parameters that can characterize the research evolutions in CRITIC. These parameters include research productivity across years, dominant countries, dominant researchers, dominant publication outlets and popular research topics. Various visualization techniques, such as combined charts, geographical maps and word clouds, were used to draw conclusions for each parameter.

Findings

The study discovered a burgeoning trend in CRITIC research in recent years, particularly from 2019 onwards. The COVID-19 pandemic unexpectedly contributed to this upward trend, prompting remarkable collaboration among researchers who used diverse decision-making methods, such as CRITIC, to provide data-driven solutions for addressing COVID-19 challenges. Additionally, the study identified China and Iran as the leading countries in CRITIC research, with notable researchers such as Xindong Peng and Mehdi Keshavarz-Ghorabaee predominantly affiliated with institutions in these countries. Keyword analysis indicated the application of CRITIC across various trending topics, including Industry 4.0 and environmental sustainability.

Originality/value

No bibliometric analyses have been conducted on the CRITIC method in the literature since its inception in 1995, leaving the scientific community clueless about its research trends. To the best of the author’s knowledge, this study serves as the first bibliometric analysis, providing quantitative evidence on the research trends associated with the CRITIC method. By shedding light on these trends, this study enables the scientific community, including researchers and funding agencies, to make informed decisions regarding future research endeavors involving the CRITIC method.
Quantitative framework for shariah-compliant multi-period fuzzy portfolio optimization: a sustainable approach to ethical investing
Authors: El Kharrim Moad
Published: July 2024

Purpose

This paper aims to propose a Shariah-compliant multi-period fuzzy portfolio optimization model that accounts for Shariah compliance through purification processes and incorporates various Shariah constraints, including sustainability constraints. This model aims to ensure both ethical alignment and robust portfolio management while navigating modern financial complexities and fostering responsible and sustainable investment practices.

Design/methodology/approach

The methodology involves a dynamic programming method to solve the proposed program, with returns of the assets assumed to be trapezoidal fuzzy variables. This approach allows for the quantification of portfolio return and risk by the possibilistic mean and semivariance of the fuzzy returns, respectively. A numerical study based on real stock market data tests the efficiency of the proposed algorithm.

Findings

The research showcases the model’s effectiveness in managing Shariah-compliant portfolios under financial uncertainties and supports the importance of incorporating ethical and sustainability constraints in investment decisions. It highlights the capability of the proposed model to offer a structured approach to ethical investing within the Islamic finance framework.

Research limitations/implications

While the paper provides a solid foundation for Shariah-compliant portfolio optimization, it acknowledges the complexity and computational demands of the model. Future research could explore simplifying the model without compromising its ethical and Shariah-compliant principles.

Originality/value

This work introduces a novel integration of Shariah compliance with fuzzy portfolio optimization techniques, addressing the need for dynamic, ethical investment strategies in Islamic finance. The incorporation of purification processes and sustainability constraints into a fuzzy portfolio optimization model represents a unique contribution to the field.
Intersection of generative artificial intelligence and copyright: an Indian perspective
Authors: Vig Shinu
Published: July 2024

Purpose

The main objective of this study is to present a compact overview analysis of intellectual property laws, specifically copyright-related provisions applicable to generative artificial intelligence (GenAI) in the Indian context.

Design/methodology/approach

The paper adopts a qualitative research methodology that is grounded in secondary sources of information. The data were gathered from the Scopus database for a systematic literature review.

Findings

GenAI technology has given rise to numerous questionable issues within the domain of intellectual property that need resolution in the form of policy solutions. Based on the findings of this paper, it can be deduced that Indian copyright laws are not adequate for addressing the rights pertaining to AI and its creations and outputs. Different countries like the United States, European Union and China have approached the regulation and protection of AI-generated content within the realm of copyright law in different ways. The future of law, as it has been established thus far, seems to be on a path of substantial evolution.

Practical implications

The study has implications for policymakers globally as there is a need to create feasible policy solutions that can efficiently safeguard against risks stemming from large language models (LLMs) and other GenAI models, while also promoting innovation, technical advancement and adoption.

Originality/value

The paper discusses the copyright-related issues in GenAI technology in the context of an emerging economy, India.
Enhancing firm performance through knowledge sharing, knowledge management, supply chain efficiency and integration: exploring the moderating influence of reverse logistic
Authors: Nazir Samera , Mehmood Saqib , Nazir Zarish , Zhaolei Li
Published: July 2024

Purpose

This study aimed to examine how knowledge sharing, knowledge management, supply chain efficiency and integration collectively impacted firm performance. Additionally, it investigated the moderating influence of reverse logistics on these relationships, seeking to enhance understanding of the complex dynamics within organizations.

Design/methodology/approach

A comprehensive method was used in the research design, combining a thorough evaluation of the body of literature with organized questionnaire data collection. Random sampling was used to collect data from Pakistani manufacturing companies, and PLS-SEM was used to analyze the collected data.

Findings

The findings demonstrated the strong positive relationships between knowledge management, integration, supply chain effectiveness, and information sharing and business performance. The study also showed that reverse logistics improved and moderated these correlations, highlighting the significance of managing reverse logistics well for the best possible company performance.

Practical implications

In terms of practical implications, the study offered organizations looking to improve performance useful information. Making informed strategic decisions was made possible by realizing the benefits of knowledge management, integration, supply chain efficiency, and sharing. The relevance of using successful tactics to maximize company outcomes was highlighted by highlighting the moderating effects of reverse logistics.

Originality/value

By thoroughly analyzing the connections between knowledge management, supply chain effectiveness, integration, and firm performance—while taking into account the moderating influence of reverse logistics—this study enhanced the body of existing literature. The discoveries significantly added value to this research topic by enhancing our understanding of how these elements collectively influence business performance, especially in the sometimes disregarded field of reverse logistics.
The mediating role of knowledge management processes on the relationship between knowledge-based HRM practices and open innovation in SMEs
Authors: Shahin Mohammad , Chong Chin Wei , Ojo Adedapo O.
Published: July 2024

Purpose

Studies have demonstrated the role of human resource management (HRM) practices and knowledge management processes (KMPs) in innovative performance. However, there is limited focus on the role of HRM practices in facilitating KMPs in organizations, most especially in small and medium enterprises (SMEs) that are constrained by lack of adequate resources, making them dependent on external sources of knowledge. In addressing this gap, this study aims to investigate the link between knowledge-based HRM practices and open innovation (OI) activities through KMPs in Jordanian SMEs.

Design/methodology/approach

Following the survey method, 500 manufacturing SMEs in Jordan were randomly selected as participants, with a total of 335 responses collated. The structural equation modeling technique, based on AMOS, was used in analyzing the collected data.

Findings

The findings revealed a significant positive relationship between knowledge-based HRM practices and OI. In addition, KMPs was determined to be a significant mediator of the relationship between knowledge -based HRM practices and OI.

Originality/value

The study contributes to the literature by emphasizing the organizational elements that boost OI in SMEs. The findings hold significant implications for enhancing the performance of innovativeness, competitiveness and the socioeconomic advancement in the SMEs sector.
Positive spatial and temporal density‐dependence drive early reproductive economy‐of‐scale effects of masting in a European old‐growth forest community
Authors: Pesendorfer Mario B. , Bogdziewicz Michał , Oberklammer Iris , Nopp‐Mayr Ursula , Szwagrzyk Jerzy , Gratzer Georg
Published: July 2024

Masting, the spatial synchronization of interannual variation in seed production, can enhance reproductive efficiency through positive density‐dependent processes (DD) that result in economies of scale (EOS), such as decreased pollen limitation and predator satiation in years of high reproduction.

While the general occurrence of such EOS effects has been documented for masting species, few studies simultaneously investigated how spatial and temporal variation in reproduction affects pollination and predation. Furthermore, it is unclear whether the same mechanisms apply to co‐occurring species with different levels of conspecific density, pollen limitation, and seed defences.

Here, we use a long‐term dataset with high spatial resolution of seed production of European beech (Fagus sylvatica), Norway spruce (Picea abies), and silver fir (Abies alba) in a primeval montane forest to investigate the relationship between reproductive effort, pollination efficiency and predispersal predation by insects.

We found that, along the temporal axis, the proportion of sound (fertilized and unpredated) seeds correlated positively with annual seed production over the 14‐year study period in all three species, most strongly in beech and only weakly in silver fir. Moreover, the results show that in beech, spatial seed density interacts with plot‐wide annual seed rain to enhance DD effects on seed predation, suggesting additive effects of synchronous reproduction on fitness benefits.

Synthesis: For both pollination and predispersal predation in beech and spruce, the strongest DD effects occur at low levels of reproduction and quickly reach asymptotes at higher levels, suggesting the presence of thresholds in different EOS mechanisms. As variability and synchrony in mast‐seeding are expected to decline with climate change, EOS effects driven by DD may remain stable until the threshold is reached, at which sudden declines would result in devastating effects on the availability of viable seeds for germination and recruitment.
Amnioinfusion compared with expectant management in oligohydramnios with intact amnions in the second and early third trimesters
Authors: Yang Ziling , Yao Jie , Yin Zongzhi , Yang Yuanyuan , Wei Zhaolian
Published: July 2024

Introduction

Treatment of oligohydramnios in the mid‐trimester is challenging, because of the high incidence of adverse perinatal outcomes mainly due to bronchopulmonary dysplasia. Antenatal amnioinfusion has been proposed as a possible treatment for oligohydramnios with intact amnions, but there are few relevant studies. This study aimed to evaluate the effectiveness of transabdominal amnioinfusion in the management of oligohydramnios without fetal lethal malformations in the second and early third trimesters.

Material and Methods

It is a historical cohort study. A total of 79 patients diagnosed with oligohydramnios at 18–32 weeks gestation were enrolled. In the amnioinfusion group (n = 39), patients received transabdominal amnioinfusion with the assistance of real‐time ultrasound guidance. In the expectant group (n = 41), patients were treated with 3000 mL of intravenous isotonic fluids daily. The perioperative complications and perinatal outcomes were analyzed.

Results

Compared with the expectant group, the delivery latency was significantly prolonged, and the rate of cesarean delivery was significantly reduced in the amnioinfusion group (p < 0.05). Although the rate of intrauterine fetal death was significantly reduced, the incidence of spontaneous miscarriage, premature rupture of membranes (PROMs), and threatened preterm labor were significantly higher in the amnioinfusion group than in the expectant group (p < 0.05). There was no significant difference in terms of perinatal mortality (28.9% vs. 41.4%, p > 0.05). Multivariate logistic regression revealed that amnioinfusion (odds ratio [OR] 0.162, 95% confidence interval [CI] 0.04–0.61, p = 0.008) and gestational age at diagnosis (OR 0.185, 95% CI 0.04–0.73, p = 0.016) were independently associated with neonatal adverse outcomes. Further subgrouping showed that amnioinfusion significantly reduced the frequency of bronchopulmonary hypoplasia for patients ≤26 weeks (26.7% vs. 75.0%, p = 0.021). The rates of other neonatal complications were similar in both groups.

Conclusions

Amnioinfusion has no significant effect on improving the perinatal mortality of oligohydramnios in the second and early third trimesters. It may lead to a relatively high rate of PROM and spontaneous abortion. However, amnioinfusion may significantly improve the latency period, the rate of cesarean delivery, and neonatal outcomes of oligohydramnios, especially for women ≤26 weeks with high risk of neonatal bronchopulmonary hypoplasia.
Therapeutic application of nicotinamide: As a potential target for inhibiting fibrotic scar formation following spinal cord injury
Authors: Zhang Ce , Shao Qiang , Zhang Ying , Liu Wenjing , Kang Jianning , Jin Zhengxin , Huang Nana , Ning Bin
Published: July 2024

Aim

We aimed to confirm the inhibitory effect of nicotinamide on fibrotic scar formation following spinal cord injury in mice using functional metabolomics.

Methods

We proposed a novel functional metabolomics strategy to establish correlations between gene expression changes and metabolic phenotypes using integrated multi‐omics analysis. Through the integration of quantitative metabolites analysis and assessments of differential gene expression, we identified nicotinamide as a functional metabolite capable of inhibiting fibrotic scar formation and confirmed the effect in vivo using a mouse model of spinal cord injury. Furthermore, to mimic fibrosis models in vitro, primary mouse embryonic fibroblasts and spinal cord fibroblasts were stimulated by TGFβ, and the influence of nicotinamide on TGFβ‐induced fibrosis‐associated genes and its underlying mechanism were examined.

Results

Administration of nicotinamide led to a reduction in fibrotic lesion area and promoted functional rehabilitation following spinal cord injury. Nicotinamide effectively downregulated the expression of fibrosis genes, including Col1α1, Vimentin, Col4α1, Col1α2, Fn1, and Acta2, by repressing the TGFβ/SMADs pathway.

Conclusion

Our functional metabolomics strategy identified nicotinamide as a metabolite with the potential to inhibit fibrotic scar formation following SCI by suppressing the TGFβ/SMADs signaling. This finding provides new therapeutic strategies and new ideas for clinical treatment.