bluuebunny/crossref_metadata_2025_split huggingface dataset:
Beneficial Effects of 6-Gingerol on Fatty Pancreas Disease in High-Fat High-Fructose Diet-Induced Metabolic Syndrome Rat Model
Authors: Munika Eka , Gunawan Shirly , Wuyung Puspita Eka , Soetikno Vivian 
Published: December 2023

Objective
To examine the effects of 6-gingerol (6-G) in overcoming fatty pancreas disease of high-fat high-fructose (HFHF) diet-induced metabolic syndrome in rats.

Materials and Methods
Male Sprague-Dawley rats were randomly divided into 5 groups. The healthy-control group (normal diet, n = 5) received a standard diet. The HFHF group (HFHF; n = 20) received an HFHF diet and a single-dose intraperitoneal injection of streptozotocin (22 mg/kgBW) at week 8. Metabolic syndrome–confirmed rats received 6-G at doses of 50 (6-G 50, n = 5), 100 (6-G 100, n = 5), and 200 (6-G 200, n = 5) mg/kgBW, respectively, for 8 weeks. All rats were killed at week 16. Pancreatic tissue and blood samples were obtained for histological and amylase analysis.

Results
The serum amylase, MDA, mRNA of TNF-α, and IL-6 significantly increased, whereas GPx decreased in the HFHF group as compared with the normal diet group, respectively. Rats in the HFHF group showed pancreatic lipid accumulation and a decreased mean number of α- and β-cells in the pancreas. Meanwhile, all rats in 6-G at all dose groups showed improvement in all parameters and histopathological scores for lipid accumulation.

Conclusions
6-Gingerol could attenuate pancreatic lipid accumulation and improve the cell number of α- and β-cells in the pancreas, leading to improvements in fatty pancreas disease.
Case Study of Autopsy Findings in a Population of Post-COVID-19 Vaccination in Thailand
Authors: Dul-amnuay Atthasit 
Published: December 2023

Abstract
Thailand began offering the coronavirus disease 2019 (COVID-19) vaccine nationwide in February 2021, with 1,885 deaths reported by the end of the year. Therefore, it is essential to assess the correlation between vaccination and cause of death from autopsy. This study included 34 autopsies of a deceased within 30 days after COVID-19 vaccination performed in Bangkok under the postmortem inquest service area of Bhumibol Adulyadej Hospital. The autopsies were performed by forensic pathologists. Moreover, detailed information about the deceased was collected, including age, sex, medical records, vaccination history, scene investigation reports, autopsy reports, cause of death, and a probable causal relationship between vaccination and cause of death. There were 24 males (70.59%), and the average age of the deceased was 52.76 years. Of all individuals, 28 (82.36%), 4 (11.76%), and 2 (5.88%) were vaccinated with AstraZeneca, Sinopharm, and SinoVac, respectively. The most common cause of death was ischemic heart disease (n = 17). None of the deceased patients had a causal relationship to the vaccine. Deaths were due to natural causes, as no definitive link between vaccination and cause of death was established in the study.
TOT Collar Use in Complex Case of Congenital Muscular Torticollis With Persistent Head Tilt
Authors: Tillinghast Amanda B. , Greve Kelly R. , Le Cras Sally P. 
Published: December 2023

Purpose:
The purposes of this case report were to (1) highlight the use and efficacy of the Tubular Orthosis for Torticollis (TOT) Collar in a prolonged and complex episode of care for an infant with congenital muscular torticollis (CMT) and (2) describe an infant with CMT receiving a physical therapy episode of care interrupted by the COVID-19 pandemic, leading to use of supplemental interventions.

Summary of Key Points:
The patient presented was an infant with CMT who received physical therapy treatment, including the TOT Collar, to resolve all symptoms.

Statement of Conclusions:
The TOT Collar helped achieve midline head position after all treatment options were exhausted at the end of a lengthy episode of care impacted by the COVID-19 pandemic.

Recommendation for Clinical Practice:
The TOT Collar may be an appropriate supplemental intervention choice for infants with CMT whose symptoms do not resolve with first-choice interventions.
Mapping the bioimaging marker of Alzheimer’s disease based on pupillary light response-driven brain-wide fMRI in awake mice
Authors: Liu Xiaochen , Hike David , Choi Sangcheon , Man Weitao , Ran Chongzhao , Zhou Xiaoqing Alice , Jiang Yuanyuan , Yu Xin 
Published: December 2023

AbstractPupil dynamics has emerged as a critical non-invasive indicator of brain state changes. In particular, pupillary-light-responses (PLR) in Alzheimer’s disease (AD) patients may be used as biomarkers of brain degeneration. To characterize AD-specific PLR and its underlying neuromodulatory sources, we combined high-resolution awake mouse fMRI with real-time pupillometry to map brain-wide event-related correlation patterns based on illumination-driven pupil constriction (Pc) and post-illumination pupil dilation recovery (amplitude,Pd, and time,T). ThePc-driven differential analysis revealed altered visual signal processing coupled with reduced thalamocortical activation in AD mice compared with the wild-type normal mice. In contrast, the post-illumination pupil dilation recovery-based fMRI highlighted multiple brain areas related to AD brain degeneration, including the cingulate cortex, hippocampus, septal area of the basal forebrain, medial raphe nucleus, and pontine reticular nuclei (PRN). Also, brain-wide functional connectivity analysis highlighted the most significant changes in PRN of AD mice, which serves as the major subcortical relay nuclei underlying oculomotor function. This work combined non-invasive pupil-fMRI measurements in preclinical models to identify pupillary biomarkers based on neuromodulatory dysfunction coupled with AD brain degeneration.
Learning to manage the unexpected: applying Weick and Sutcliffe’s HRO principles to oil tanker accidents
Authors: Amici Bianca , Farnese Maria Luisa 
Published: December 2023

PurposeWeick and Sutcliffe identified five principles that enable high-reliability organizations (HROs) to address environmental complexity and manage unexpected events. The current study aims to adopt this sensemaking perspective to analyze accidents within a typical HRO sector, namely maritime transport.Design/methodology/approachThrough a retrospective case study analysis, this study focused on seven oil tanker accidents, using them as illustrative examples.FindingsFindings show how the five principles contributed to the accidents' occurrence, explaining how failures in sensemaking affected the crew's capability to both prevent errors and cope with their consequences, thus leading to disasters.Research limitations/implicationsOverall, the study offers an applicative contribution showing how this model may provide a reliable framework for analyzing the psychosocial factors affecting an accident. This approach deepens the understanding of how latent factors are enacted and how the prevention and error management phases interrelate within a comprehensive flow of the entire accident sequence. Furthermore, the study emphasizes consistent patterns that emerge across multiple accidents within the same sector, in order to learn valuable lessons to improve safety measures in the future.Originality/valueThis study constitutes an exemplary application in support of how Weick and Sutcliffe’s model is valuable for investigating HROs. It offers a second-order interpretative framework to understand accidents and underscores the interplay among these factors during the dynamic development of an accident.
University contributions to sustainability via state-level climate action plans in the USA
Authors: Spaulding Nicole E. , Fernandez Ivan J. , Gassett Parker R. 
Published: December 2023

Purpose
The purpose of this study was to conduct a preliminary analysis of the role of higher education institutions (HEIs) in state climate science assessment (CSA) and state climate adaptation plan (CAP) development in the USA.

Design/methodology/approach
This study uses a content review of US state government and land grant (LG) university websites, including 36 CSAs and CAPs. These data informed the development of a tiered conceptual model of HEI engagement in state climate action planning. The conceptual model is evaluated through the lens of coproduction within knowledge networks.

Findings
HEI contributions to state-level climate action planning in the USA are highly variable, ranging from minimal engagement to defined roles in the development and implementation of robust state CAPs. Novel approaches to optimize effective exchange between scientists and decision-makers that also increase the engagement of academia are needed.

Practical implications
This study advocates for and provides a replicable example of HEI engagement in the development of mechanisms that increase the connectivity of in-state climate networks. Such mechanisms optimize information sharing and engagement, consequently building sustained capacity for in-state collaboration at the science–policy interface.

Originality/value
HEIs, particularly LG universities, are a stable source of state-specific climate science and expert assistance that persist beyond national and state political cycles. To the best of the authors’ knowledge, this research is the first to examine their unique contributions to climate science policy development and implementation. It investigates specifically the relationships and interactions between HEIs and state governments in the USA and offers a detailed case study from the state of Maine.
Logistics performance system and their impact on economic corridors: a developing economy perspective
Authors: Sumbal Muhammad Saleem , Agha Mujtaba Hassan , Nisar Aleena , Chan Felix T.S. 
Published: December 2023

PurposeThis study aims to investigate the various systems in logistics industry of Pakistan through the lens of the World Bank's logistics performance indicators (LPI) and understand their impact on the China–Pakistan economic corridor (CPEC) that is a vital part of China's belt and road initiative (BRI).Design/methodology/approachIn this study thematic analysis was performed on twenty-three semi-structured interviews with experts in Pakistan's logistics and supply chain sector to gain an in-depth insight into the logistics performance relative to CPEC.FindingsA performance gap exists in the logistics systems in Pakistan, both for hard and soft infrastructure. The significant challenges are the inefficiencies of the government, minimal use of information and computing technology (ICT), and an incapable workforce. It is essential to be cognizant of the ground realities and amendments required in the existing policies and practices in light of the challenges faced and best practices adopted by developed and developing countries with good standing in logistics performance. This study will guide policymakers and practitioners for hard and soft logistics infrastructure improvement, which may benefit economic corridors in general and CPEC in particular.Originality/valueThis study contributes to the existing literature by highlighting the role of ICT in improving both soft and hard logistics infrastructure, which can lead to significant development of economic corridors. The study makes use of a case study of the CPEC to demonstrate the lack of ICT can hamper the growth of an economic corridor despite billions of dollars of investment in the hard infrastructure development projects.
The COVID-19, a crossroads for female directors
Authors: Garcia-Sanchez Isabel-Maria , Uribe Bohorquez Maria Victoria , Aibar-Guzmán Cristina , Aibar-Guzmán Beatriz 
Published: December 2023

PurposeFor almost half a century, society has been aware of the existence of a glass ceiling, a term that describes the invisible barriers that hinder women’s access to power positions despite having equal or greater qualifications, skills and merits than their male counterparts. Nowadays, although there are signs of slow progress, women are still underrepresented in the upper echelons of large corporations and the risk of reversing the progress made in gender parity has increased because of the effects of the COVID-19 pandemic. This paper contributes to previous literature by analysing the impact that the uncertainty and cognitive effects associated with COVID-19 in 2020 had on the presence of women on the board of directors and whether this impact has been moderated by the regulatory and policy system on gender quotas in place at the time.Design/methodology/approachTo test the authors' research hypotheses, the authors selected the major global companies worldwide with economic-financial and non-financial information available in the Thomson Reuters EIKON database over the 2015–2020 period. As a result, the authors' final sample is made up of 1,761 companies from 52 countries with different institutional settings that constitute an unbalanced data panel of 8,963 observations. The nature of the dependent variables requires the use of logistic regressions. The models incorporate the terms to control for any unobservable heterogeneity and the error term. Any endogeneity issues were addressed by considering the explanatory variables with a time lag.FindingsThe authors find that almost 30% of the companies downsized their boards in 2020. This decision resulted in more female than male directors being made redundant, causing a reversal in the fulfilment of gender quotas focussed on ensuring balanced boards with a female presence of 40% or more. This effect was enhanced in countries with hard-law regulation because the penalty for non-compliance with gender quotas had led to a significant increase in the size of these bodies in previous years through the inclusion of the required number of female directors. In contrast, the reduction in board size in soft-law countries does not differ from that in laissez-faire countries, lacking any moderating effect or impact on the number of female board members dismissed as a result of the pandemic.Originality/valueThis paper aims to contribute to current knowledge by analysing the impact that the countries' regulatory and normative systems on gender parity on boards of directors have had on the decisions made in relation to leadership positions, moderating the effects of the COVID-19 pandemic on gender equality at a global level.
How are frontline managers supported in the performance management process?
Authors: Lee Qian Yi , Wilkinson Adrian , Townsend Keith 
Published: December 2023

Purpose Existing research has ignored the perspectives of frontline managers (FLMs) in relation to the support they receive. This study aims to understand the extent to which and how other organisational actors support FLMs in their implementation of performance.Design/methodology/approach This article used a qualitative method (57 semi-structured interviews) in two Singapore public sector organisations to understand the types of support provided to FLMs. The interviewees came from various levels and the hierarchical sampling frame allowed for comparisons to be made across the cases.Findings The authors found that the HR department, superiors and peers signalled to FLMs the custom and practice of performance management (PM) that led to the FLMs not prioritising their PM responsibilities. Notably, the focus of the FLMs was on meeting operational needs rather than the PM process.Originality/value The authors add to the literature by examining the how the support from other organisational actors signalled to FLMs the importance of PM within their work group. This paper also explores how FLMs seek support and the type of support they want in their role.
Multi‐model stacked structure based on particle swarm optimization for random noise attenuation of seismic data
Authors: Zhang Qing , Liao Jianping , Luo Zhikun , Zhou Lin , Zhang Xuejuan 
Published: December 2023

AbstractRandom noise attenuation is a fundamental task in seismic data processing aimed at improving the signal‐to‐noise ratio of seismic data, thereby improving the efficiency and accuracy of subsequent seismic data processing and interpretation. To this end, model‐based and data‐driven seismic data denoising methods have been widely applied, including f–x deconvolution, K‐singular value decomposition, feed‐forward denoising convolutional neural network and U‐Net (an improved fully convolutional neural network structure), which have received widespread attention for their effectiveness in attenuating random noise. However, they often struggle with low‐signal‐to‐noise ratio data and complex noise environments, leading to poor performance and leakage of effective signals. To address these issues, we propose a novel approach for random noise attenuation. This approach employs a multi‐model stacking structure, where the parameters governing this structure are optimized using a particle swarm optimizer. In the model‐based denoising method, we choose the f–x deconvolution method, whereas in the data‐driven denoising method, we choose K‐singular value decomposition for shallow learning and U‐Net for deep learning as components of the multi‐model stacking structure. The optimal parameters for the multi‐model stacking structure are obtained using a particle swarm optimizer, guided by the proposed novel hybrid fitness function incorporating weighted signal‐to‐noise ratio, structural similarity and correlation parameters. Finally, the effectiveness of the proposed method is verified with three synthetic and two real seismic datasets. The results demonstrate that the proposed method is effective in attenuating random noise and outperforms the benchmark methods in denoising both synthetic and real seismic data.
Insurance coverage and discontinuity during pregnancy: Frequency and associations documented in the PROMISE cohort
Authors: Booman Anna , Stratton Kalera , Vesco Kimberly K. , O'Malley Jean , Schmidt Teresa , Boone‐Heinonen Janne , Snowden Jonathan M. 
Published: December 2023

AbstractObjectiveTo describe insurance patterns and discontinuity during pregnancy, which may affect the experiences of the pregnant person: their timely access to care, continuity of care, and health outcomes.Data Sources and Study SettingData are from the PROMISE study, which utilizes data from community‐based health care organizations (CHCOs) (e.g., federally qualified health centers that serve patients regardless of insurance status or ability to pay) in the United States from 2005 to 2021.Study DesignThis descriptive study was a cohort utilizing longitudinal electronic health record data.Data Collection/Extraction MethodsInsurance type at each encounter was recorded in the clinical database and coded as Private, Public, and Uninsured. Pregnant people were categorized into one of several insurance patterns. We analyzed the frequency and timing of insurance changes and care utilization within each group.Principal FindingsContinuous public insurance was the most common insurance pattern (69.2%), followed by uninsured/public discontinuity (11.8%), with 6.4% experiencing uninsurance throughout the entirety of pregnancy. Insurance discontinuity was experienced by 16.6% of pregnant people; a majority of these reflect people transitioning to public insurance. Those with continuous public insurance had the highest frequency of inadequate prenatal care (19.5%), while those with all three types of insurance during pregnancy had the highest percentage of intensive prenatal care (16.5%). The majority (71.7%–81.2%) of those with a discontinuous pattern experienced a single insurance change.ConclusionsInsurance discontinuity and uninsurance are common within our population of pregnant people seeking care at CHCOs. Our findings suggest that insurance status should be regarded as a dynamic rather than a static characteristic during pregnancy and should be measured accordingly. Future research is needed to assess the drivers of perinatal insurance discontinuity and if and how these discontinuities may affect health care access, utilization, and birth outcomes.
Unlocking the potential of pasting properties to predict extrudate characteristics of corn grits blends with high amylose corn starch, potato starch, or rice flour
Authors: Debonne Els , Van de Velde Louise‐Marie , van den Navoij Camilla , Fratte Elia Dalle , Eeckhout Mia 
Published: December 2023

AbstractThe development of new production lines of extruded ready‐to‐eat (RTE) snacks often results in high losses of edible food due to the trial‐and‐error approach in industry. Being able to predict extrudate characteristics of new formulations before having to run trials on industrial scale would be beneficial for reducing waste and having a more efficient development process. With this study, the correlation between pasting properties of seven blends of flours/starches and extrudate characteristics was investigated (100% corn grits, 25% and 50% replacement of corn grits with high amylose starch, potato starch, and rice flour). The predictive power of pasting characteristics on extrudate's moisture content, water absorption and solubility index, sectional expansion index (SEI) and hardness was studied. Results indicated the potential of predicting SEI, water solubility index (WSI), and water absorption index (WAI) of RTE‐snacks. WSI and WAI were, respectively, negatively correlated with peak temperature (R2 = 0.897), and positively with peak temperature and positively with trough viscosity (R2 = 0.855). One can conclude that the rheometer can be a useful tool to gain insight into the characteristics of the extrudate, although further research with enlargement of the dataset is necessary to make the rheometer effectively deployable for potentially other extrudate characteristics.
The effect of modified atmosphere packaging at an early postmortem stage on lamb meat quality during subsequent aging
Authors: Zhao Yingxin , Wang Zhenyu , Bruce Heather L. , Roy Bimol C. , Yang Wei , Zhang Dequan , Hou Chengli 
Published: December 2023

AbstractThis study explores the influence of modified atmosphere packaging (MAP) on fresh lamb meat quality with respect to gas concentration, rigor state, and post‐mortem aging time. A comparison was done for the quality characteristics of lamb Longissimus thoracis lumborum chops that had been packaged separately in air, 75%O2 + 25%CO2 MAP or 50%O2 + 50%CO2 MAP at 1, 6, and 24 h post‐mortem and then stored for 6, 12, 24, 72, and 144 h post‐mortem, and the quality of lamb chops had been evaluated at each post‐mortem period separately. Chops packaged at 1 and 6 h post‐mortem in MAP had reduced pH decline, less purge loss, and enhanced redness at early post‐mortem storage times. Lamb color stability was evidently greater in 75%O2 + 25%CO2 MAP than in 50%O2 + 50%CO2 MAP during the early storage period when a* and R630/R580 were taken into account. Shear force values were lowest in lambs packaged at 1 h post‐mortem with 75%O2 + 25%CO2 MAP at 12 h post‐mortem and then increased until 72 h post‐mortem, suggesting that rigor has been delayed by such a high O2 MAP. Thus, fresh lamb quality was maintained most effectively when packaged at 1 h post‐mortem in 75%O2 + 25%CO2 MAP for consumption at 12 h post‐mortem. The exact mechanisms and optimization of MAP based on Chinese retail conditions should be considered in future studies.Practical ApplicationIn this study, three slaughter patterns in the meat industry involving boning immediately after dressing (hot‐boning) and chilling for a short period (warm‐boning) or overnight (cold‐boning) are considered, as well as the behavior of non‐immediate consumption after purchase. Modified atmosphere packaging provides an effective preservation of early post‐mortem muscles with enhanced color stability, water holding capacity, and texture during refrigerated storage. This could provide new insights into how to process lamb muscles in the early post‐mortem period to improve and stabilize lamb quality.