bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial and Temporal Relationships Between Atrophy and Hypometabolism in Behavioral-Variant Frontotemporal Dementia
Authors: Stocks Jane , Gibson Erin , Popuri Karteek , Beg Mirza F. , Rosen Howard , Wang Lei 
Published: May 2024

Purpose:
Individuals with behavioral-variant frontotemporal dementia (bvFTD) show changes in brain structure as assessed by MRI and brain function assessed by 18FDG-PET hypometabolism. However, current understanding of the spatial and temporal interplay between these measures remains limited.

Methods:
Here, we examined longitudinal atrophy and hypometabolism relationships in 15 bvFTD subjects with 2 to 4 follow-up MRI and PET scans (56 visits total). Subject-specific slopes of atrophy and hypometabolism over time were extracted across brain regions and correlated with baseline measures both locally, via Pearson correlations, and nonlocally, via sparse canonical correlation analyses (SCCA).

Results:
Notably, we identified a robust link between initial hypometabolism and subsequent cortical atrophy rate changes in bvFTD subjects. Network-level exploration unveiled alignment between baseline hypometabolism and ensuing atrophy rates in the dorsal attention, language, and default mode networks. SCCA identified 2 significant and highly localized components depicting the connection between baseline hypometabolism and atrophy slope over time. The first centered around bilateral orbitofrontal, frontopolar, and medial prefrontal lobes, whereas the second concentrated in the left temporal lobe and precuneus.

Conclusions:
This study highlights 18FDG-PET as a dependable predictor of forthcoming atrophy in spatially adjacent brain regions for individuals with bvFTD.
Low-field MRI for use in neurological diseases
Authors: Balaji Sharada , Wiley Neale , Poorman Megan E. , Kolind Shannon H. 
Published: May 2024

Purpose of reviewTo review recent clinical uses of low-field magnetic resonance imaging (MRI) to guide incorporation into neurological practice.Recent findingsUse of low-field MRI has been demonstrated in applications including tumours, vascular pathologies, multiple sclerosis, brain injury, and paediatrics. Safety, workflow, and image quality have also been evaluated.SummaryLow-field MRI has the potential to increase access to critical brain imaging for patients who otherwise may not obtain imaging in a timely manner. This includes areas such as the intensive care unit and emergency room, where patients could be imaged at the point of care rather than be transported to the MRI scanner. Such systems are often more affordable than conventional systems, allowing them to be more easily deployed in resource constrained settings. A variety of systems are available on the market or in a research setting and are currently being used to determine clinical uses for these devices. The utility of such devices must be fully evaluated in clinical scenarios before adoption into standard practice can be achieved. This review summarizes recent clinical uses of low-field MR as well as safety, workflows, and image quality to aid practitioners in assessing this new technology.
Predicting Primary Graft Dysfunction in Lung Transplantation: Machine Learning–Guided Biomarker Discovery
Authors: Nord Dianna , Brunson Jason Cory , Langerude Logan , Moussa Hassan , Gill Blake , Machuca Tiago , Rackauskas Mindaugas , Sharma Ashish , Lin Christine , Emtiazjoo Amir , Atkinson Carl 
Published: May 2024

AbstractBACKGROUNDThere is an urgent need to better understand the pathophysiology of primary graft dysfunction (PGD) so that point-of-care methods can be developed to predict those at risk. Here we utilize a multiplex multivariable approach to define cytokine, chemokines, and growth factors in patient-matched biospecimens from multiple biological sites to identify factors predictive of PGD.METHODSBiospecimens were collected from patients undergoing bilateral LTx from three distinct sites: donor lung perfusate, post-transplant bronchoalveolar lavage (BAL) fluid (2h), and plasma (2h and 24h). A 71-multiplex panel was performed on each biospecimen. Cross-validated logistic regression (LR) and random forest (RF) machine learning models were used to determine whether analytes in each site or from combination of sites, with or without clinical data, could discriminate between PGD grade 0 (n= 9) and 3 (n= 8).RESULTSUsing optimal AUROC, BAL fluid at 2h was the most predictive of PGD (LR, 0.825; RF, 0.919), followed by multi–timepoint plasma (LR, 0.841; RF, 0.653), then perfusate (LR, 0.565; RF, 0.448). Combined clinical, BAL, and plasma data yielded strongest performance (LR, 1.000; RF, 1.000). Using a LASSO of the predictors obtained using LR, we selected IL-1RA, BCA-1, and Fractalkine, as most predictive of severe PGD.CONCLUSIONSBAL samples collected 2h post-transplant were the strongest predictors of severe PGD. Our machine learning approach not only identified novel cytokines not previously associated with PGD, but identified analytes that could be used as a point-of-care cytokine panel aimed at identifying those at risk for developing severe PGD.
Self-assembled DNA-collagen bioactive scaffolds promote cellular uptake and neuronal differentiation
Authors: Singh Nihal , Singh Ankur , Bhatia Dhiraj 
Published: May 2024

AbstractDifferent modalities of DNA-Collagen complexes have been utilized primarily for gene delivery studies. However, very few studies have investigated the potential of these complexes as bioactive scaffolds. Further, no studies have characterized the DNA-Collagen complex formed from the interaction of self-assembled DNA macrostructure and collagen. Towards this investigation, we report herein the fabrication of novel bioactive scaffolds formed from the interaction of sequence-specific, self-assembled DNA macrostructure and collagen type I. Varying molar ratios of DNA and collagen resulted in highly intertwined fibrous scaffolds with different fibrillar thicknesses. The formed scaffolds were biocompatible and presented as a soft matrix for cellular growth and proliferation. Cells cultured on DNA/Collagen scaffolds promoted enhanced cellular uptake of transferrin, and the potential of DNA/Collagen scaffolds to induce neuronal cell differentiation was further investigated. The DNA/Collagen scaffolds promoted neuronal differentiation of precursor cells with extensive neurite growth in comparison to control groups. These novel, self-assembled DNA/Collagen scaffolds could serve as a platform for the development of various bioactive scaffolds with potential applications in neuroscience, drug delivery, tissue engineering, and in vitro cell culture.Graphical Abstract
Differential prevalence and risk factors for infection with coronaviruses in bats collected during 2020 in Yunnan Province, China
Authors: Li Ruiya , Tendu Alexander , Kane Yakhouba , Omondi Victor , Ying Jiaxu , Mao Lingjing , Xu Shiman , Xu Rong , Chen Xing , Chen Yanhua , Descorps-Declère Stéphane , Bienes Kathrina Mae , Fassatoui Meriem , Hughes Alice C. , Berthet Nicolas , Wong Gary 
Published: May 2024

AbstractCoronaviruses (CoVs) pose a threat to human health globally, as highlighted by severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) and the COVID-19 pandemic. Bats from the Greater Mekong Subregion (GMS) are an important natural reservoir for CoVs. Here we report the differential prevalence of CoVs in bats across biological and ecological factors within Yunnan Province. We also show the coexistence of CoVs in individual bats and identify an additional putative host for SARS-related CoV, with higher dispersal capacity than other known hosts. Notably, 11 SARS-related coronaviruses (SARSr-CoVs) were discovered in horseshoe bats and a Chinese water myotis bat by pan-CoV detection and Illumina sequencing. Our findings facilitate an understanding of the fundamental features of the distribution and circulation of CoVs in nature as well as zoonotic spillover risk in the One health framework.
Potential impact of switching from a two- to one-dose gender-neutral routine HPV vaccination program in Canada: A mathematical modeling analysis
Authors: Drolet Mélanie , Laprise Jean-François , Chamberland Éléonore , Sauvageau Chantal , Wilson Sarah , Lim Gillian H. , Ogilvie Gina , Tuite Ashleigh , Brisson Marc 
Published: May 2024

ABSTRACTBackgroundWorldwide, countries are examining whether to implement one-dose HPV vaccination. To inform policy recommendations in Canada, we used mathematical modeling to project the population-level impact and efficiency of switching from two-to one-dose gender-neutral routine HPV vaccination.MethodsWe used HPV-ADVISE, an individual-based transmission-dynamic model of HPV infections/diseases, to model 2 provinces (Quebec, Ontario), which represent higher (≈85%) and lower (≈65%) HPV vaccination coverage in Canada. We examined non-inferior and pessimistic scenarios of one-dose efficacy (VE=98%, 90%) and average duration (VD=lifelong, 30 years, 25 years) versus two doses (VE=98%, VD=lifelong). Our main outcomes were the relative reduction in HPV-16 (among females/males) and cervical cancers, and the number of doses needed to prevent one cervical cancer (NNV).ResultsOur model projects that one-dose HPV vaccination would avert a similar number of cervical cancers as two doses in Canada, under various non-inferior and pessimistic scenarios. Under the most pessimistic scenario (VD=25 years), one-dose vaccination would avert ∼3 percentage-points fewer cervical cancers than two doses over 100 years. All one-dose scenarios were projected to lead to cervical cancer elimination and were projected to be a substantially more efficient use of vaccine doses compared to two doses (NNVs one-dose vs no vaccination=800-1000; incremental NNVs two-dose vs one-dose vaccination >10,000).InterpretationIf the average duration of one-dose protection is longer than 25 years, individuals would be protected during their peak ages of sexual activity and one-dose vaccination would prevent a similar number of HPV-related cancers, while being a more efficient use of vaccine doses.
Dividend policy and residual dividend theory: evidence from Indonesia
Authors: Wirama Dewa Gede , Krisnadewi Komang Ayu , Artini Luh Gede Sri , Ardiana Putu Agus 
Published: May 2024

PurposeUsing the residual dividend theory, this study examines the impact of capital expenditures and working capital on the dividend policies of publicly listed companies in Indonesia.Design/methodology/approachUsing data on public companies (other than those in the financial sector) listed on the Indonesia Stock Exchange from 2011 to 2020, this study collected 870 observations (firm-years). This study employs a regression analysis technique using the STATA application program. The main variables in this study are capital expenditure and working capital, and the control variables are sales growth, firm size, leverage, profitability, liquidity and dummy variables for state-owned enterprises. The dependent variable of dividend policy is proxied by the dividend payout ratio.FindingsThis study’s results support the residual dividend theory’s hypothesis, in which capital expenditure negatively affects a company’s dividend policy. This study also analyzes this effect on companies that pay cash dividends at quantile positions of 25, 30, 50 and 60. The results show that the effect of capital expenditure on cash dividend payments is more pronounced in the case of companies whose cash dividends are in the 50th quantile. This result holds across different specification and endogeneity tests.Originality/valueThis study analyzes the residual dividend theory in Indonesian companies, focusing on localized factors and investment priorities. It challenges traditional Western dividend policies and provides empirical data that enhances the theory’s robustness. The findings have practical implications for investors, policymakers and corporate decision-makers in the Indonesian market.
Thinking fast, not slow: intuitive nutrition labels increase healthier food preferences under time pressure
Authors: Motoki Kosuke , Saito Toshiki 
Published: May 2024

PurposeFront-of-pack (FOP) nutrition labeling has attracted considerable attention in a wide range of communities. However, the limited effects of FOP nutrition labels on healthier food preferences have been reported. Drawing on the dual system theory, this study aimed to investigate which FOP nutrition labels increase healthier food preferences and when. Drawing on the dual-process theory, this study aimed to investigate the effects of Nutri-Scores on healthy food preferences under time pressure.Design/methodology/approachParticipants saw two food packages (healthier and less healthy) with either intuitive (nutrient score) or numeric FOP labels. They then had to choose one of their preferred products with or without time pressure.FindingsAcross two studies (including one pre-registered replication), the results consistently demonstrated that the Nutri-Score (vs numeric labels) increases healthier food preferences under time pressure. No significant difference in the likelihood of choosing healthier food was found between the labels under non-time pressure.Originality/valueTogether, our results suggest that intuitive FOP labeling (i.e. Nutri-Score) enhances healthier food preferences during Type 1 processing and provides practical implications for promoting healthy eating.
Navigating the challenges of extending working life: a study of employment support services for older workers in Hong Kong
Authors: Chan Ka Ki , Au-Yeung Tat Chor 
Published: May 2024

PurposeThis research highlights age-specific barriers to employment for older workers and the gap between activation policy design and implementation, focusing on difficulties in extending working life under employment support services.Design/methodology/approachThis research employed a qualitative approach, utilizing semi-structured interviews to gather perspectives on extending the working lives of older adults. Eighteen experienced social workers who worked in employment support services for older workers who aged fifty-five and above participated in the study.FindingsThis study underscores the importance of comprehensively understanding the heterogeneity of individuals' circumstances and emphasizes the impact of intersectionality on the development of extending working life. It incorporates individual and familial difficulties, including considering caregiving responsibilities, health issues and housing challenges before exploring employment-related concerns. The study also highlights external factors influencing older workers' employment prospects, including employer perspectives, government support levels and public recognition of the necessity to extend working life.Research limitations/implicationsThis research sheds light on the impact of welfare-related stigma, which imposes obstacles and inflexibility on older workers seeking employment. It ultimately contributes to the sustainability and dynamism of the Asia–Pacific workforce while also informing regional discussions on social security and welfare services.Originality/valueIt uniquely employs the perspectives of social workers providing employment support services to highlight challenges and policy gaps in extending the working lives of older workers in Hong Kong. It also provides practical insights into strategies and mechanisms for extending working life across diverse social contexts.
Performance coaching and training transfer in micro, small and medium enterprises of India: examining the mediating role of employee agility
Authors: Srigouri V.V. , Muduli Ashutosh 
Published: May 2024

PurposeThe study investigates the role of performance coaching (PC) and employee agility (EA) in training transfer (TT). Research reveals that initially 40% of trainees struggle to apply what they've learned, increasing to 70% after a year, resulting in just a 50% overall training success rate. Following Holton et al.'s learning transfer system (LTS) framework, much research explores the factors affecting TT in various contexts, emphasizing organizational contexts, individual factors and training design, mainly in large corporations. This research, however, delves into the influence of PC (as an organizational context) and EA (as an individual characteristic) on TT in medium- and small-scale Indian enterprises. Building on the resource-based view (RBV) theory, the study also examines how EA mediates the relationship between PC and TT.Design/methodology/approachFollowing LTS framework and building on the RBV theory, the survey research has been designed. Using a validated instrument, data from 411 respondents of Indian micro, small and medium enterprises (MSMEs) are analyzed using structural equation modeling (SEM) by SPSS-AMOS.FindingsThe result proved that PC and EA exert a significant and positive influence on TT. Further, the result proved that EA mediates the relationship between PC and TT.Originality/valueThe research is unique and original, as little research are available on the exploration of the interplay between PC and EA within the framework of MSMEs.
When and why does customization reduce booking cancellations? Field evidence from two hotels
Authors: Mathmann Frank , Wang Di , Christian Jesse Elias 
Published: May 2024

PurposeThis study employs S-D Logic to examine the hotel booking behaviors of individuals, with a focus on the impact of service customization on service cancellation. Additionally, the moderating role of social co-creation is explored to provide further insight.Design/methodology/approachThe paper draws on booking data from two hotels: a resort hotel with 40,060 recorded bookings, including 11,122 cancellations, and bookings from a city hotel with 79,330 bookings, including 33,102 cancellations.FindingsThe result reveals that bookings with higher levels of initial customization, such as special requests, are more likely to be modified later and less likely to be canceled. Interestingly, while multi-adult bookings were found to have a higher cancellation rate than individual bookings, the effects of customization commitment were more pronounced for multi-adult bookings.Originality/valueThis paper is the first to establish a connection between service customization, the number of adults on a booking and the likelihood of cancellation, thus providing new empirical evidence for the emergence of customization effects in services. Additionally, the study identifies important contingencies based on the number of consumers in a booking.
The value of store brand customization: consider demand learning and preference matching
Authors: Shen Qichao 
Published: May 2024

PurposeThis study examined the reciprocal influence of demand learning and preference matching in the context of store brand customization. The demand-learning effect refers to the collection of market demand information through production, based on pre-order demands, enabling retailers to accurately predict and allocate product quantities, thus improving inventory management. The preference-matching effect involves engaging consumers in the production and design processes of store brands to align fully with their preferences, thereby increasing the purchase impact of store brand products and promoting consumption.Design/methodology/approachWe employ game-theoretic models to analyze a two-echelon supply chain consisting of a manufacturer and a retailer. The retailer offers both national brands, manufactured by the supplier and in-house store brands. To enhance their competitive edge, the retailer can adopt a customized strategy targeting the store brand to attract a wider consumer base.FindingsThe analysis reveals that, under low commission fees, the manufacturer consistently opts for high production quantities, irrespective of the level of demand uncertainty. However, when the perceived value of a store brand is low and demand uncertainty is either low or high, the retailer should choose a minimal or zero production quantity. The decision-making process is influenced by the customization process, wherein the effects of demand learning and preference matching occasionally mutually reinforce each other. Specifically, when the perceived value of a store brand is low, or the product cost is high, along with high customization costs, the interplay between demand learning and preference matching becomes mutually inhibiting. Consequently, the significance of store brand customization diminishes.Originality/valueThis study enhances the current body of knowledge by providing a deeper understanding of the theoretical value of store brand customization. In addition, it offers valuable decision-making support to enterprises by assisting them in selecting appropriate inventory and customization strategies.
Enabling creativity: the interplay of participative leadership, coworkers’ knowledge sharing behavior and employee’s creative idea validation
Authors: Kumar Nilesh , Wang Changfeng , Liu Zhiqiang 
Published: May 2024

PurposeBased on theory Z of leadership, this research aims to investigate the direct relationship between participative leadership (PL) and creative idea validation (CIV) fostering both radical (RC) and incremental creativity (IC). Additionally, by utilizing attribution theory, it explores the moderating effect of coworkers’ knowledge-sharing behavior (KSB) on both the direct and indirect relationships.Design/methodology/approachData were collected through a descriptive approach and convenient sampling from three sources – leaders, subordinates and coworkers – in R&D departments at multi-levels within 97 high-tech firms in China. Data comprised 446 employees (subordinates and coworkers) and 94 leaders, and multilevel path analysis was conducted using Mplus software.FindingsThe results indicate that PL exhibits both a direct and indirect positive association with RC and IC through the CIV. Moreover, the relationship is enhanced by coworkers’ high-KSB.Practical implicationsOur study offers implications that managers can leverage to foster employee creativity. Leaders are encouraged to embrace a PL style for collective idea validation. However, to overcome coworkers’ reciprocal behavior, they may facilitate trust and team-building exercises, enabling employees to strengthen relationships and share critical information and knowledge resources for the development and validation.Originality/valueThis study is the first to empirically extend the relationship between PL and CIV, utilizing a multilevel approach to assess its impact on distinctive types of creativity – namely, radical and incremental. Further, it testifies the significance of coworkers’ knowledge as an attribution effect influencing the relationships.