bluuebunny/crossref_metadata_2025_split huggingface dataset:
The link between the risk of cardiovascular diseases and the intake of different types of dietary carbohydrates in Iranian adults
Authors: Beheshti Nazanin , Tavakoli Aryan , Saeedirad Zahra , Mousavi Zahra , Nooriani Narjes , Mobarakeh Khadijeh Abbasi , Mahmoudi Zahra , Kamali Majid , Mohammadi Saeideh , Namakian Seyed Ali , Bahmani Parsa , Khoshdooz Sara , Gholamalizadeh Maryam , Doaei Saeid , Kooshki Akram 
Published: October 2024

Background
The risk of cardiovascular diseases (CVDs) may be influenced by dietary carbohydrates. The aim of this study was to investigate the link between CVDs and the intake of carbohydrates.

Methods
In this cross-sectional study, data was extracted from the Prospective Epidemiologic Research Studies in Iran (PERSIAN) cohort in Sabzevar, Iran. A total of 4241 adults, including 1535 patients with CVDs and 2706 people without CVDs, were included. A validated 237-item food frequency questionnaire was used to estimate the intake of different types of dietary carbohydrates.

Results
A positive association was found between stroke and dietary intake of starch (OR = 1.108; 95% CI, 1.005–1.220; P = 0.039). Additionally, a negative association was found between stroke and dietary intake of sucrose (OR = 0.97; 95%CI, 0.94–0.99; P = 0.037). No association was found between other types of CVDs and the intake of different types of carbohydrates.

Conclusion
This study provided some evidence for the association between CVDs and different types of dietary carbohydrates. Consumption of starch may increase the risk of stroke, while a higher intake of sucrose may decrease the risk of stroke. Further studies are warranted.
Advancing Family Medicine in a Model Unit: A Living Lab for Health Care Design and Innovation
Authors: Paul Margaret M. , Matthews Marc R. , Greaney Gerry B. , Wallenstein Deanne W. , Greenwood Jason D. , Spaulding Tony , Eckdahl Jon S. , Rushlow David R. 
Published: October 2024

AbstractIntroductionThe population in need of primary care is rapidly growing and increasingly complex with respect to chronic disease burden. We must develop alternative and more efficient approaches to managing patients if we are to increase access to care without sacrificing continuity; however, there is little guidance for innovation strategies at the practice level.MethodsThe Mayo Clinic Department of Family Medicine engaged in a 2-year multistage planning process to develop plans for a Model Unit (MU) to identify opportunities for innovation to improve daily practice. The purpose of the MU is to operate as a “living lab” capable of driving continuous advancements within the context of a real-world health system with the goal of delivering high-quality care to a greater number of patients.ResultsKey lessons from the planning stage led to the development of a contextualized, incremental, and continuous approach to design and innovation. In its first phase, the MU includes 3 interventions that are novel to the unit itself, including nurse-led hypertension management, incorporating telehealth visits into routine clinician schedules, and ambient documentation to replace clinician-generated visit notes. We present a description of the overall MU approach including early-stage implementation findings and our evaluation strategy.ConclusionsThe MU structure is a generalizable model for identifying opportunities and operationalizing practice improvement activities in a strategic and pragmatic way that incorporates real-time feedback from clinicians and staff with the expectation of continuous and phased evolution.
GLE1 dysfunction compromises cellular homeostasis, spatial organization, and peripheral axon branching
Authors: Zárybnický T , Lindfors S , Metso S , Szabo Z , Valtonen R , Tulppo M , Magga J , Saarimäki S , Bläuer S , Miinalainen I , Kerkelä R , Väänänen J , Kivelä R , Zhang FP , Sipilä P , Hinttala R , Kuure S 
Published: October 2024

AbstractThe GLE1 protein is an enigmatic factor of RNA processing, associated with multiple developmental disorders including lethal congenital contracture syndrome 1 (LCCS1). Usingin vivogenetic engineering to study disturbed GLE1 functions under physiological conditions we demonstrate that inactivation ofGle1impedes cellular function and organization and causes pre-gastrulation lethality due to defects in adhesion and lineage specification. In contrast, the knock-in mice genocopying LCCS1-associatedGLE1FinMajorvariant (Gle1PFQ/PFQ) survive prenatal period but die suddenly at mid-adulthood.Gle1PFQ/PFQmice present irregular count and distribution of spinal motor neurons and impaired development of neural crest-derived tissues as demonstrated by defects in their sympathetic innervation of heart ventricles, paravertebral sympathetic ganglia volume, and adrenal chromaffin cell counts. Unlike previously reported for yeast and HeLa cells, analysis of molecular consequences ofGLE1FinMajorvariant identified normal poly(A)+ RNA distribution inGle1PFQ/PFQcells, which however were impaired in RNA and protein synthesis and simultaneously showed typical signs of cellular senescence.Gle1PFQ/PFQalso induced disturbed stress responses with significant changes in G3BP1-positive stress granule count. Our results show necessity of GLE1 functions for life and indicate that LCCS1 etiology is resultant of pathogenicGLE1FinMajorvariant impinging differentiation of neural crest derivatives and leading to complex multiorgan defects.HighlightsTotal inactivation of GLE1 results in disorganization of blastocyst inner cell mass and early embryonic lethality.TheGle1knock-in (KI) mice, which genocopy the humanGLE1FinMajorvariant causative for lethal congenital contracture syndrome 1 (LCCS1), die suddenly in mid-adulthood.Normal poly(A)+ RNA distribution was observed inGle1KI cells, but decreased number of G3BP1-positive stress granules were detected in response to stress.Abnormal sympathetic innervation of heart ventricles was detected inGle1KI mice.Neural crest-derived tissues represent a new target ofGLE1FinMajorand GLE1-related disorders.
Binge drinking trajectories across adolescence and early adulthood: Associations with genetic influences for dual-systems impulsive personality traits, alcohol consumption, and alcohol use disorder
Authors: Miller Alex P. , Spychala Kellyn M. , Slutske Wendy S. , Fromme Kim , Gizer Ian R. 
Published: October 2024

AbstractBinge drinking is a relatively common pattern of alcohol use among youth with normative frequency trajectories peaking in emerging and early adulthood. Frequent binge drinking is a critical risk factor for not only the development of alcohol use disorders (AUDs) but also increased odds of alcohol-related injury and death, and thus constitutes a significant public health concern. Changes in binge drinking across development are strongly associated with changes in impulsive personality traits (IPTs) which have been hypothesized as intermediate phenotypes associated with genetic risk for heavy alcohol use and AUD. The current study sought to examine the extent to which longitudinal changes in binge drinking and intoxication frequency across adolescence and early adulthood are associated with genetic influences underlying dual-systems IPTs (i.e., top-down [lack of self-control] and bottom-up [sensation seeking and urgency] constructs) alongside genetic risk for alcohol consumption and AUD. Associations were tested using conditional latent growth curve polygenic score (PGS) models in three independent longitudinal samples (N=10,554). Results suggested consistent significant and independent associations across all samples between sensation seeking PGSs and model intercepts (i.e., higher frequency of binge drinking at first measurement occasion) and alcohol consumption PGSs and model slopes (i.e., steeper increases toward peak binge drinking frequency). Urgency PGSs were not significantly associated with changes in binge drinking or intoxication frequency. Collectively, these findings highlight the role of unique but correlated IPT and alcohol-specific genetic factors in the emergence and escalation of binge drinking during adolescence and early adulthood.
The organic mindset: decoding the drivers of young Indian consumer’s purchase intentions
Authors: Thakur Anand , Prakash Neha , PK Muthubasin 
Published: October 2024

PurposeThe purpose of the present study is to explore the factors affecting young consumers’ purchase intention towards organic food products (OFPs) and gain a comprehensive understanding of the various factors that influence how consumers perceive and respond to organic food. Therefore, this study frames and validates the measurement scale to examine the factors that may impact purchase intention among young consumers in India.Design/methodology/approachIn order to frame and validate the measurement scale for this investigation, sophisticated statistical procedures such as exploratory factor analysis, confirmatory factor analysis and other statistical measures utilizing SPSS v.26 and AMOS v.24 were used. This study utilized 307 samples to investigate.FindingsThe main findings of the study show that Indian consumers' intent to buy organic food items is strongly associated with factors such as “warm glow”, “cultural values”, “environmental cognition”, “natural experience”, “food safety concern”, “self-identity” and “environmental ethics”. These factors explained 69.14% of the overall variance in research variables.Practical implicationsThe present offers a novel measurement mechanism for exploring the green consumer behaviour. By applying it in real-world settings, marketers will gain insights and develop more effective, targeted strategies to promote OFPs among young Indian consumers.Originality/valueThe study brings together a diverse set of antecedents that have not been collectively analysed in the context of consumer purchase intention for OFPs. The emphasis on environmental ethics, green self-identity and related constructs aligns with the growing global emphasis on sustainability.
Development of an integrated conceptual framework for the entrepreneurial intention and nascent entrepreneurial behavior
Authors: Silva H.M.S.V. , Pushpakumari M.D. , Nishantha B. 
Published: October 2024

Purpose
This study aims to identify the themes of entrepreneurial intention and develop an integrated conceptual framework for the antecedents and outcomes of entrepreneurial intention.

Design/methodology/approach
A Systematic Literature Review (SLR) is conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach (PRISMA). In total, 185 articles from six databases between 2010 and 2023 are included. A bibliometric analysis is performed using VOSviewer.

Findings
Unearthed are five pivotal themes, namely, personality traits, educational, contextual and cognitive factors, that profoundly influence entrepreneurial intention to deepen the understanding of nascent entrepreneurial behavior and illuminate new avenues for research in this domain.

Research limitations/implications
This study relied on six databases and 185 papers from scholarly journals written in English. Articles published before 2010 and after 2023 are not considered. It proposes an integrated conceptual framework incorporating personality traits and educational, contextual and cognitive factors for intention formation. The incremental aspect of augmenting Social Cognitive Career Theory (SCCT) theory is also explained.

Practical implications
Arms practitioners with the crucial insights needed to embark on nascent entrepreneurs’ entrepreneurial journey early in crafting effective policies, empowering them to spearhead economic growth and innovation at both the firm and national levels.

Originality/value
This study shows the nexus among personality traits, educational, contextual and cognitive factors, entrepreneurial intention and nascent entrepreneurial behavior with a solid theoretical foundation under one integrated conceptual framework while augmenting SCCT, offering a fresh and innovative perspective on nascent entrepreneurial behavior.
Electromagnetic performance analysis of a novel radial compound differential field-modulated magnetic gears
Authors: Wang Jungang , Zeng Zhiliang 
Published: October 2024

Purpose
The purpose of this study is to propose a new magnetic gearing device and the proposed transmission model can be applied in the field of wind power and wave energy generation gearboxes.

Design/methodology/approach
A novel radial differential field-modulated two-stage magnetic gear is introduced, using a unique radial differential linkage to integrate two single-stage magnetic gears. This design incorporates a magnetic isolation ring to enhance transmission efficiency by minimizing magnetic interference and preventing power circulation. The two-stage modulating ring rotor operates synchronously via a connecting bridge, ensuring system stability and efficiency. This configuration not only boosts the gear ratio but also maintains a compact structure, improving power density and efficiency. Leveraging the magnetic field modulation and differential transmission, a finite element model of this gear is developed and its electromagnetic performance is analyzed.

Findings
The torque density of the new radial differential field-modulated two-stage magnetic gear has increased by 44.97% compared to the traditional tandem two-stage magnetic gear. It achieves a high transmission ratio of 64 and maintains comparable power density, indicating strong torque transfer capabilities suitable for low-speed, high-torque applications. During steady-state operation, the torque pulsation difference between the two stages is minimal, ensuring stable working torque.

Social implications
This research not only propels the forefront of magnetic gear technology through heightened efficiency and streamlined design but also bears profound societal significance in fostering sustainable energy paradigms. By facilitating superior energy conversion efficiencies in wind turbines and wave energy converters, it plays a pivotal role in mitigating carbon emissions and accelerating the global pivot towards cleaner, renewable energy landscapes.

Originality/value
A magnetic gear transmission device is proposed, which can achieve high power density and large transmission ratio at the same time, and this study provides a useful reference for the design optimization of new high-performance multistage magnetic gears.
Computational multiphase mixture simulations of a two-phase R-744 ejector geometry in transcritical R-744 heat pump applications
Authors: Kanbur Baris Burak , Busch Alexander , Kriezi Ekaterini E. , Markussen Wiebke Brix , Kærn Martin Ryhl , Kristófersson Jóhannes , Walther Jens Honore 
Published: October 2024

Purpose
Two-phase R-744 ejectors are critical components enabling energy recovery in R-744 heat pump and refrigeration systems, but despite their simple geometry, the flow physics involve complex multiphase mixing phenomena that need to be well-quantified for component and overall system improvement. This study aims to report on multiphase mixture simulations for a specific two-phase R-744 ejector with supercritical inlet conditions at the motive inlet side.

Design/methodology/approach
Four different operating conditions, which have motive inlet pressure range of 90.1 bar–101.1 bar, are selected from an existing experimental data set. A two-phase thermodynamic equilibrium (TPTE) model is used, where the fluid properties are described by a thermodynamic look-up table.

Findings
The results show that the TPTE model overpredicts mass flow rates at the motive inlet, resulting in a relative error ranging from 15.6% to 21.7%. For the mass flow rate at the suction inlet, the relative errors are found less than 1.5% for three cases, while the last case has an error of 12.4%. The maximum deviation of the mass entrainment ratio is found to be 8.0% between the TPTE model and the experimental data. Ejector efficiency ranges from 25.4% to 28.0%. A higher pressure difference between the ejector outlet and the diverging nozzle exit provides greater pressure lift.

Research limitations/implications
Based on the results, near future efforts will be to optimize estimation errors while enabling more detailed field analysis of pressure, density, temperature and enthalpy in the computational domain.

Originality/value
The authors have two main original contributions: 1) the presented thermodynamic look-up table is unique and provides unique computation for the real-scale ejector domain. It was created by the authors and has not been applied before as far as we know. 2) To the best of the authors’ knowledge, this study is the first study that applies the STAR-CCM+ multiphase mixture model for R-744 mixture phenomena in heat pumps and refrigeration systems.
Analysing the feasibility of agro-based value chain configurations in the rural context with B2B marketing
Authors: Priyadarshi Rahul , Routroy Srikanta 
Published: October 2024

Purpose
This paper aims to advocate for small-scale entrepreneurship with commercial cultivation to earn better profits at the farmer level. This paper explores potential value chain configurations of vertical coordination.

Design/methodology/approach
The aloe vera supply chain was examined for the study where aloe vera juice is the product. The various configurations are complete vertical coordination, semi-vertical coordination and non-vertical coordination. These were analysed to find feasibility and market prospects based on parameters. The cyclic view of supply chains, comparative analysis and fuzzy-analytical hierarchy process algorithm are presented.

Findings
The semi-vertically coordinated supply chain is indicated as the optimum setup to initiate value chains. The entrepreneurs in this configuration will be able to sell semi-finished produce to a brand that will process and distribute the final product. This B2B setup will help the farmer to earn better revenues in the post-COVID-19 scenario. Effective marketing with improved execution and innovation will boost the food processing industry.

Research limitations/implications
This study uses an established methodology to distinguish among alternatives based on underlying factors. The study is based on data collected from stakeholders. The study reflects the most accurate picture of real-world scenarios at the farm and market level in the Indian context.

Practical implications
This study’s learnings will help understand the organisational approach to serve demand by designing unique business configurations. Adapting the fundamental model with technological intervention will improve supply chain performance and sustainability. The most modern approaches in agri-business, such as subscription models, vertical farming, corporate entrepreneurship and technological intervention, will be covered in future work.

Social implications
This study will help stakeholders, including the government, decide whether to introduce training skills, subsidy policies, business expansion ideas and feasibility studies.

Originality/value
The study highlights the strategic role of developing the B2B platform to support customer values and customer ecosystem with better product availability.
SMAR: self-supervised mobile application recommendation based on graph convolutional networks
Authors: Fu Zhongxiang , Cao Buqing , Liu Shanpeng , Peng Qian , Peng Zhenlian , Shi Min , Liu Shangli 
Published: October 2024

Purpose
With the exponential growth of mobile applications, recommending suitable mobile applications to users becomes a critical challenge. Although existing methods have made achievements in mobile application recommendation by leveraging graph convolutional networks (GCNs), they suffer from two limitations: the reliance on a singular acquisition path leads to signal sparsity, and the neighborhood aggregation method exacerbates the adverse impact of noisy interactions. This paper aims to propose SMAR, a self-supervised mobile application recommendation approach based on GCN, which is designed to overcome existing challenges by using self-supervised learning to create an auxiliary task.

Design/methodology/approach
In detail, this method uses three distinct data augmentation techniques node dropout, edge dropout and random walk, which create varied perspectives of each node. Then compares these perspectives, aiming to ensure uniformity across different views of the same node while maintaining the differences between separate nodes. Ultimately, auxiliary task is combined with the primary supervised task using a multi-task learning framework, thereby refining the overall mobile application recommendation process.

Findings
Extensive experiments on two real datasets demonstrate that SMAR achieves better Recall and NDCG performances than other strong baselines, validating the effectiveness of the proposed method.

Originality/value
In this paper, the authors introduce self-supervised learning into mobile application recommendation approach based on GCNs. This method enhances traditional supervised tasks by using auxiliary task to provide additional information, thereby improving signal accuracy and reducing the influence of noisy interactions in mobile application recommendations.