bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early White Matter Microstructure Alterations in Infants with Down Syndrome
Authors: Azrak Omar , Garic Dea , Nasir Aleeshah , Swanson Meghan R. , Grzadzinski Rebecca L. , Al-Ali Khalid , Shen Mark D. , Girault Jessica B. , St. John Tanya , Pandey Juhi , Zwaigenbaum Lonnie , Estes Annette M. , Wolff Jason J. , Dager Stephen R. , Schultz Robert T. , Evans Alan C. , Elison Jed T. , Yacoub Essa , Kim Sun Hyung , McKinstry Robert C. , Gerig Guido , Pruett John R. , Piven Joseph , Botteron Kelly N. , Hazlett Heather , Marrus Natasha , Styner Martin A. ,   Infant Brain Imaging Study (IBIS) Network
Published: February 2025

AbstractImportanceDown syndrome, resulting from trisomy 21, is the most prevalent chromosomal disorder and a leading cause of intellectual disability. Despite its significant impact on brain development, research on the white matter microstructure in infants with Down syndrome remains limited.ObjectiveTo investigate early white matter microstructure in infants with Down syndrome using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI).DesignInfants were recruited and scanned between March 2019 and May 2024 as participants in prospective studies conducted by the Infant Brain Imaging Study (IBIS) Network. Data were analyzed in October 2024.SettingData collection occurred at five research centers in Minnesota, Missouri, North Carolina, Pennsylvania, and Washington.ParticipantsDown syndrome and control infants were scanned at 6 months of age. Control infants had no Down syndrome diagnosis and either had a typically developing older sibling or, if they had an older sibling with autism, were confirmed not to meet clinical best estimate criteria for an autism diagnosis.ExposureDiagnosis of Down syndrome.Main Outcomes and MeasuresThe outcome of interest was white matter microstructure quantified using DTI and NODDI measures.ResultsA total of 49 Down syndrome (28 [57.14%] female) and 37 control (18 [48.65%] female) infants were included. Infants with Down syndrome showed significant reductions in fractional anisotropy and neurite density index across multiple association tracts, particularly in the inferior fronto-occipital fasciculus and superior longitudinal fasciculus II, consistent with reduced structural integrity and neurite density. These tracts also demonstrated increased radial diffusivity, suggesting delayed myelination. The inferior fronto-occipital fasciculus and uncinate fasciculus exhibited increased neurite dispersion and fanning in Down syndrome infants, reflected by elevated orientation dispersion index. Notably, the optic tracts in Down syndrome infants exhibited a distinct pattern of elevated fractional anisotropy and axial diffusivity, and lower radial diffusivity and orientation dispersion index, suggesting an early maturation of these pathways.Conclusions and RelevanceThis first characterization of white matter microstructure in Down syndrome infants reveals widespread white matter developmental delays. These findings provide new insights into the early neurodevelopment of Down syndrome and may inform early therapeutic interventions.
Championing green sustainability in manufacturing of a developing economy: implications for sustainable performance through eco-regulatory compliance
Authors: Opoku Richard Kofi 
Published: February 2025

PurposeGiven the unprecedented rise in environmental problems today, global manufacturing businesses are strategically diverting their attention toward green sustainability. Green sustainability emphasises environmental management throughout manufacturing processes to address firms’ sustainable performance. This study investigates whether green sustainability and eco-regulatory compliance, as strategic management approaches, influence manufacturers’ economic, social and environmental performances.Design/methodology/approachUsing structured questionnaires, this quantitative-based explanatory research obtained a usable dataset of 385 from manufacturing firms in Ghana, a developing country. Data analysis was conducted using structural equation modelling.FindingsThe study found green sustainability and eco-regulatory compliance to influence manufacturers’ sustainable performance positively. Also, eco-regulatory compliance partially mediated the green sustainability-sustainable performance nexus in a developing economy, particularly Ghana.Research limitations/implicationsThe study’s conceptual model is limited to manufacturing industries in developing economies, particularly Ghana. It was also limited to the natural resource-based view, quantitative approach and cross-sectional design.Practical implicationsThe study found green sustainability and eco-regulatory compliance to influence manufacturers’ sustainable performance positively. Also, eco-regulatory compliance partially mediated the green sustainability-sustainable performance nexus in a developing economy, particularly Ghana.Social implicationsThe study raises awareness among industry players, consumers and the public about the significance of green sustainability practices in manufacturing. This will foster support and heavy investments in eco-friendly manufacturing businesses. Also, the study promotes local initiatives that advocate for sustainability, contributing to higher community involvement in environmentally conscious efforts. It contributes to waste and pollution (emission and water) minimisation while improving water, land and air quality by emphasising green sustainability and eco-regulatory compliance throughout manufacturing operations.Originality/valueThe study contributes significantly to the growing debate on sustainability in manufacturing by unearthing how green sustainability and eco-regulatory compliance enhance firms’ sustainable performance. It also demonstrates the intervening role of eco-regulatory compliance in the green sustainability–sustainable performance interplay.
Empirical investigation of barriers and benefits of smart farming
Authors: Narayanamurthy Gopalakrishnan , Shiva Jayanth R. Sai , Tortorella Guilherme , Fogliatto Flávio 
Published: February 2025

PurposeSmart farming (SF) holds immense potential in making farming viable and improving farmers' livelihoods. However, its adoption is still in the early stages, and the resulting impacts are underexplored. This study investigates the information systems/policy and implementation barriers to the adoption of SF and its implications for various socioeconomic aspects.Design/methodology/approachThis survey research used a structured questionnaire to collect data on farm details, farmer characteristics and usage of SF technologies from a sample of 197 farmers based in the State of Karnataka, India. Exploratory factor analysis with principal component extraction is used to validate the proposed questionnaire constructs. Results are analyzed using one-way and two-way ANOVAs and interaction plots.FindingsOur study throws light on the benefits and barriers of SF technologies. Advanced SF technologies displayed a significant positive effect on socioeconomic variables compared to startup SF technologies, which displayed no significant effect. Overcoming information systems/policy barriers for adopting startup and advanced SF technologies displayed significant positive effects on farmers' health and net income, whereas overcoming implementation barriers for adopting advanced SF technologies led to improvement in the farmers' gross income.Originality/valueAlthough the technical feasibility of SF has been explored in the literature, its adoption barriers and socioeconomic impacts have been underexplored. To the best of our knowledge, the interaction between different types of barriers and the level of SF adoption has not yet been investigated in the literature. Our study addresses those research gaps using data from a previously underexplored context, viz. developing nations.
Effect of laser energy density on the fretting wear behavior of TC4 alloys prepared by selective laser melting (SLM)
Authors: Li Wenlong , Zhang Po , Yue Zhiwen , Duan Wei , Cai Yun , Cai Zhaobing , Gu Le 
Published: February 2025

Purpose
This paper aims to investigate the effect of laser energy density on the fretting wear properties of TC4 alloys prepared by selective laser melting to enhance their service life.

Design/methodology/approach
The friction test used a ball-to-plane contact structure and simulated the actual working conditions by applying a linear reciprocating motion. In the experiments, the authors prepared TC4 alloys using different laser energy densities and performed fretting wear tests with D = 100 µm on a friction machine, as well as comparative analyses with conventional cast TC4 materials. 3D optical microscope, scanning electron microscopy and energy spectrum x-ray spectrometer were used to analyze the surface morphology and elemental content of the samples.

Findings
The results indicate that the friction coefficient and wear volume of selective laser melting (SLM)-TC4 are lower than those of cast TC4, demonstrating superior wear resistance. As the laser energy density increases, the grain size of the SLM-TC4 samples gradually coarsens, leading to an initial improvement followed by a decline in friction coefficient and wear resistance. Among the samples, ET3 (42 J/mm³) exhibits the lowest friction coefficient and wear volume, with the friction coefficient ranging from 0.67 to 0.7 and the wear volume being only 9.92% of that of cast TC4.

Originality/value
The main contribution of this work is to provide a new reference for improving the wear resistance of TC4 prepared by selective laser melting. By studying the effect of different laser energy densities on the wear resistance of TC4, it provides a theoretical basis for the preparation of SLM-TC4 alloys for industrial applications.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2024-0414/
Maslahah value optimization in exploring Muslim consumption behavior: a study of impulse buying on e­wallet users in East Java, Indonesia
Authors: Yudha Ana Toni Roby Candra , Atiya Nikmatul , Faidah Amelia Riski , Febriyanti Novi , Masrufah Nur 
Published: February 2025

Purpose
This study aims to analyze the value of maslahah in impulse buying behavior by investigating the influence of free shipping, cashback and religiosity of Muslim e-wallet users in East Java, Indonesia. Impulse buying, which is prevalent post-COVID-19, accounts for 60%–65% of total shopping, in contrast to conventional shopping, which is only 35%–40%.

Design/methodology/approach
This study used a survey study aimed at Millennials and Generation Z. There were 236 respondents, but only 207 were valid and complete. In addition, this study used structural equation modeling-partial least square (SEM-PLS) to validate the hypothesis and evaluate the model. Additional tests were also carried out using multigroup analysis (MGA) to obtain results based on gender perspective.

Findings
Free shipping and cashback were shown to have a significant positive impact on impulse buying behavior. Contrary to the initial hypothesis, religiosity showed a significant positive influence on impulse buying. Therefore, consumption behavior should be evaluated using the concept of maslahah, which prioritizes fulfilling the most important needs. Responsible consumption for a Muslim should align with Islamic principles, which teach that wealth should be used for good things. While ideally, maslahah comes first, in a 5.0 society influenced by discounts and added incentives, impulse buying has become a normalized phenomenon. Regarding gender, differences show that men prioritize practical incentives, whereas women focus more on rational considerations and opportunities.

Research limitations/implications
This study uses a sample of several e-wallet brands with the most users in Indonesia; the respondents come from Millennials and Generation Z who are on the island of Java, Indonesia. Thus, it needs to be considered for generalization purposes by adding other brands and respondents from areas outside Java.

Practical implications
The results of this study include implications regarding strengthening the value of religiosity and maslahat in impulse buying of goods.

Social implications
In line with the results and analysis of this research, which provides a maslahah perspective in the analysis and a gender perspective in the methodology. Thus, this can be recognized as a contribution of thought related to social implications.

Originality/value
This study explores impulse buying based on the gender of respondents, which is not often found in previous research.
The environment effect and health benefit evaluation based on machine learning and prediction
Authors: Zhu Suling , Li Min , Shi Yujie , Weng Qinnan , Liu Bowen , Zhang Zhenhua 
Published: February 2025

PurposeTo maximize health synergistic benefits and provide a scientific foundation for enhancing air pollution control policies, this research proposed a causal inference framework with a decomposition ensemble prediction model for comprehensive policy assessment.Design/methodology/approachWe introduced the CD-OASVR-Ensemble-CC method, a policy assessment approach that combined machine learning-based decomposition ensemble prediction (CD-OASVR-Ensemble) with counterfactual contrast (CC) analysis. The CD-OASVR-Ensemble model incorporated support vector regression (SVR) optimized through swarm intelligent optimization algorithms (OA), complete ensemble empirical model decomposition of adaptive noise (CD) and a linear ensemble model (Ensemble). This approach was applied to analyze patterns in historical PM2.5 data and predict the future trend. The predicted PM2.5 served as a counterfactual trend, enabling an evaluation of the policy’s environmental and health effects.FindingsAnalysis of prediction errors confirmed the proposed CD-OASVR-Ensemble model’s accuracy and robustness in predicting PM2.5 levels. The findings indicated that the implementation of “Regulation 2019” led to a significant reduction in PM2.5 concentration, preventing an estimated 7,960 premature deaths and saving approximately 2,602.95 m yuan in health-related economic costs.Originality/valueThis study introduces an innovative framework for evaluating the environmental effect of policies, with a specific emphasis on health synergistic benefits.
Development of electric/near-infrared light-driven shape memory rGO/EVA composite films for deployable structures
Authors: Jiang Xiaojian , Zhang Zhonggui , Cheng Jiafei , Ai Yongjie , Zhang Ziyue , Wang Shuolei , Xu Shi , Gao Hongyu , Dong Yubing 
Published: February 2025

Purpose
This study aims to fabricate the reduced graphene oxide (rGO)/ethylene vinyl acetate copolymer (EVA) composite films with electric-driven two-way shape memory properties for deployable structures application. The effect of dicumyl peroxide (DCP) and rGO on the structure and properties of the rGO/EVA composite films were systematically investigated.

Design/methodology/approach
The rGO/EVA composite films were fabricated by melting blend and swelling-ultrasonication method, DCP and rGO were used the crosslinking agent and conductive filler, respectively.

Findings
The research results indicate that the two-way shape memory properties of rGO/EVA composite films were significantly improved with the increase of DCP content. The rGO endowed rGO/EVA composite films with excellent electric-driven reversible two-way shape memory and anti-ultraviolet aging properties. The sample rGO/EVA-9 can be heated above Tm within 8 s at a voltage of 35 V and can be heated above the Tm temperature within 12 s under near-infrared light (NIR). Under a constant stress of 0.07 MPa, the reversible strain of the sample rGO/EVA-9 was 8.96% and its electric-driven shape memory behavior maintained great regularity and stability.

Research limitations/implications
The rGO/EVA composite films have potential application value in the field of deployable structures.

Originality/value
With the increase of DCP content, the two-way shape memory properties of rGO/EVA composite films were significantly improved, which effectively solved the problem that the shape memory properties of EVA matrix decreased caused by swelling. The rGO endowed rGO/EVA composite films with excellent electric/NIR driven reversible two-way shape memory properties.
Investigation of material extrusion parameters and printing material impacts on wear and friction using the Taguchi method
Authors: Aslan Enes 
Published: February 2025

Purpose
The purpose of this study is to find optimum production parameters using the Taguchi method in terms of printing material (a composite material produced from polylactic acid [PLA] and polypropylene [PP]) impacts on wear and friction.

Design/methodology/approach
A composite filament coil was fabricated from PLA and PP pellets using a lab-based extrusion device. The hardness and chemical structure of the filaments were examined. The filament-based material extrusion process was used to produce cylindrical shapes for tribological (pin-on-disc) analyses. Moreover, Taguchi methodology was performed to find the most influential parameter on tribological characteristics.

Findings
The hardness (Shore D) values of the filaments were polylactic acid (PLA) (85), polypropylene (PP) (58) and PLA and PP mixture of 50:50 (PLAPP) (63). Fourier-transform infrared spectroscopy (FTIR) and thermogravimetric analysis results show that PLA and PP mixtured successfully. The diameter deviation of all samples was found as lower than 5%. The honeycomb pattern presented the best dimensional accuracy. Changing printing patterns and temperatures affect the friction profile. Coefficient of friction (COF) values of cylindrical samples of PLA and PP samples around 0.35 and 0.31, respectively. Overall, material type for wear resistance applications is a key point.

Originality/value
To the best of the author’s knowledge, there seems to be a lack of 3D-printed PP and PLAPP studied in terms of tribological aspects as a neat polymer. The tribological profiles of PP, PLA and PLAPP (PLA and PP mixture of 50:50) were investigated in this study. The author believe that this is a preliminary study that might close the gap and add some novel information to the current literature.
Memorial K-means clustering for cooperative spectrum sensing in cognitive wireless sensor networks at low SNR regimes
Authors: Tao Boyan , Wu Jun , Dou Xiaoyu , Wang Jiayu , Xu Yanhong 
Published: February 2025

Purpose
The spectrum resources are becoming increasingly scarce and underutilized, and cooperative spectrum sensing (CSS) in cognitive wireless sensor networks (CWSNs) offers many solutions with good results, but this paper aims to address the significant issue of CSS in the context of low signal-to-noise ratio (SNR).

Design/methodology/approach
This study proposes Pearson Correlation Coefficient (PCC) to obtain value feature values under the Rayleigh channel model, which are then used for Memorial K-means Clustering (MKC) analysis of CSS in CWSNs at low SNR regimes. In addition, MKC algorithm is used for training and converted it into supervised model.

Findings
A series of numerical simulation results demonstrate that the correctness and effectiveness of the proposed MKC, especially the detection and false alarm probabilities in a low SNR condition. The detection probability is increased by 5%–12% at low SNR compared with other methods.

Originality/value
The MKC algorithm can reduce the impact of randomness on the clustering centers for multiple groups, which combined with PCC can effectively reduce the influence of noise at low SNR, and the unsupervised transformed model effectively reducing the complexity of re-discrimination.
The Road Not Taken: Evaluating the Consequences of the United States’ Nonadoption of IFRS in 2012
Authors: Jiang John X. , Koo David S. , Wang Isabel Y. 
Published: February 2025

Synopsis Research Problem This study investigated the ramifications of the SEC’s choice not to adopt the International Financial Reporting Standards (IFRS) in 2012. Motivation The nonadoption of IFRS by the United States in 2012 raised worries about the country’s influence on IFRS and the standards’ potential divergence from U.S. Generally Accepted Accounting Principles (GAAP). Our analysis offers insights into the United States’ reengagement with the IFRS, the development of sustainability reporting standards, and the evolution of accounting standards. Test Hypotheses We hypothesize that the United States has not lost influence over IFRS, and the momentum for these standards has not waned post-2012. Target Population We examined countries and firms’ use of U.S. GAAP or IFRS standards, including foreign companies listed in U.S. exchanges. Methodology We conducted a robust review of scholarly literature, an analysis of arguments surrounding IFRS adoption in the United States, and a comparative study of IFRS and U.S. GAAP standards through 2022. Analyses We examined the historical attempts to integrate IFRS in the United States, market share trends of firms using IFRS, the enduring influence of the United States on IFRS standard setting, empirical evidence on eliminating the IFRS-to-U.S. GAAP reconciliation, and implications for global sustainability standards. Findings Our findings challenge the fear that the divergence between IFRS and U.S. GAAP has widened after 2012. IFRS market share increased from 53.3% in 2011 to 76.7% in 2022, refuting assertions of declining momentum. The U.S. influence over IFRS remains intact. The elimination of IFRS-to-U.S. GAAP reconciliation requirements shows mixed empirical effects, warranting further research on market adaptations and firm-specific outcomes in post-reconciliation environments. Our analysis supports the value of pursuing global ESG reporting standards and highlights the complex investor reactions to potential U.S. IFRS adoption.
How to Generate Reader Interest in What You Write
Authors: Yaffe Philip 
Published: February 2025

Each "Communication Corner" essay is self-contained; however, they build on each other. For best results, before reading this essay and doing the exercise, go to the first essay "How an Ugly Duckling Became a Swan," then read each succeeding essay.
Who has not discovered to their dismay that no one wants to read their most carefully crafted, meritorious, compelling, and passionate writings? Think of all the proposals you have written that no one was interested in. Or the web pages, the blog posts, news releases, company brochures, etc. that fell flat. Chances are, such mishaps are linked to producing texts that fail to connect with what your readers would be interested in reading.
This article was originally published by Ubiquity in 2009 as a single contribution. It is now being republished as part of Communication Corner, the author's interrelated series of essays curated to help computer professionals communicate more effectively with each other and the general public.
Filling gaps: pentatomids (Hemiptera: Heteroptera) from Boraceia Biological Station (São Paulo, Brazil) with a preliminary checklist for the Atlantic Rain Forest
Authors: Roell Talita , López Guilherme Enrique Luisi , Schwertner Cristiano Feldens 
Published: February 2025

The Boraceia Biological Station (BBS) is located in the Salesópolis municipality, State of São Paulo, and represents an important natural protected area of the Atlantic Rain Forest in one of Brazil’s most urbanized states. In this work, an inventory for the BBS was compiled, using specimens deposited in the Zoology Museum of the University of São Paulo and through consultation of bibliography. We list 36 species of stink bugs (Hemiptera: Pentatomidae) collected over 80 years. Six species were recorded for the first time in the State of São Paulo. The inventory represents the first one comparing the diversity of species from BBS with the recorded diversity of the Atlantic Rain Forest. We also present a preliminary checklist of pentatomids of the Atlantic Rain Forest and highlight the importance of preserving natural areas in the Atlantic Rain Forest.