bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding use continuance of social networking sites in organizations from employees’ perspectives: multicontextual contrasts between Canada and Cote d’Ivoire
Authors: Kaba Bangaly 
Published: November 2024

Purpose
Limited research has espoused a comparative perspective to study social networking sites’ (SNS) use continuance despite most of them being abandoned after initial adoption. Most existing empirical works have been undertaken in western contexts, and they do not consider country-origin influence. Thus, they are of little benefit to global and transnational organizations. Awareness of countries’ similarities and contrasts provides the basis for understanding people’s behaviors in cross-cultural contexts, which can be crucial to ensuring technology acceptance and success, especially in multinational organizations. Our research aims to explain why and how people use SNSs sustainably in the workplace through a model and comparative study.

Design/methodology/approach
The theoretical framework was developed to integrate and extend two major behavioral adoption and technology use models in explaining SNS use continuance. This paper collected data through a survey and analyzed it using structural equation modeling through partial least squares (PLS).

Findings
One major contribution of this study is to highlight that the users in selected countries are driven strongly by subconscious factors rather than traditional factors based on the system attributes and users’ perceived rationality of continuing to use SNSs.

Research limitations/implications
This paper recommends that the model in this study be tested in other technology environments to evaluate the external validity of the research study. The research was based on an unspecified platform, but each SNS may have its own singularities that should merit further consideration.

Originality/value
This paper will contribute to the literature by integrating and extending two major theoretical frameworks and espousing a cross-national perspective.
Resources collection strategy of emergency materials based on evolutionary game model in complex network
Authors: Guohua Qu , Rudan Xue 
Published: November 2024

PurposeIn recent years, the frequency of emergencies, such as natural disasters and public health crises, has markedly increased globally. These occurrences have introduced new challenges to national public security systems and emergency management capabilities. Post-disaster humanitarian logistic operations involve the collection of emergency relief resources to mitigate the impact of disasters in affected areas. Effective coordination among governments, enterprises and charities is essential to enhance the efficiency of these operations. This study employs evolutionary game theory to explore the strategic interactions and behavioral patterns among these key stakeholders during the collection of emergency materials.Design/methodology/approachA tripartite evolutionary game model involving governments, enterprises and charities is developed. Subsequently, to validate the theoretical findings, a scale-free network is constructed for the purpose of numerical simulations. As this network evolves, both the edges between nodes and the strategy choices of the nodes also change. Numerical simulations are conducted using the network to examine the sensitivity of factors influencing strategic choices among game stakeholders.FindingsAccording to the model simulation results, penalties significantly influence government regulation strength, while enterprise philanthropic behavior is mainly affected by penalties, profit transfer benefits and trust loss. For charities, strategic choices are primarily driven by penalties, tax subsidies, illegal operation benefits and charitable costs. The findings provide a theoretical basis for governments, enterprises and charities to select the sensible strategy.Originality/valueOur study establishes a dynamic network of edges and nodes evolving over time to analyze the strategic evolutionary paths of governments, enterprises and charities from a micro perspective. The results assist governments, enterprises and charities in making more strategic decisions.
Role of mucous cells in the defence system of the cnidarian Actinia equina (Linnaeus, 1758): The keystone of evolution
Authors: Alesci Alessio , Marino Sebastian , Miller Anthea , Giliberti Angelo , Rigano Gabriele , Giuffrè Letterio , Fernandes Jorge M. O. , Savoca Serena , Capillo Gioele 
Published: November 2024

AbstractCnidarians are the first phylum of metazoans to exhibit a functional mucus layer. In evolution, mucous cells perform the classical secretory function of mucus and act as sentinels for external insults, particularly in mammals. However, this topic has not been much analysed in the lower metazoans. This study aims to investigate the role of mucous cells in Actinia equina (Anthozoa, Hexacorallia) (Linnaeus, 1758) by using confocal microscopy and bioinformatics. The results show colocalization of Toll‐like receptor 2 (TLR2) and Mucin2 (MUC2) on these cells, suggesting a crosstalk between defence response and mucus secretion in cnidarians. Furthermore, the presence of TLR2 on the surface of mucous cells suggests their involvement in host defence responses, as occurs in vertebrates. Moreover, through in silico analysis, we confirmed the presence of orthologous genes for the tested antibodies, providing additional evidence to support our results from an evolutionary perspective. These data suggest that mucous cells play a defensive role throughout evolution, helping us understand how these cells have developed and adapted across phylogenesis. This information also provides new insights into the defensive strategies of invertebrates and clarifies their evolutionary history.
A Phase 2 Study of PEGylated Recombinant Human Growth Hormone for 52 Weeks in Short Children Born Small for Gestational Age in China
Authors: Luo Xiaoping , Hou Ling , Zhong Yan , Zhao Sha , Chen Xiaobo , Dong Qian , Du Hongwei , Lu Honghua , Yang Yu , Wu Xian , Luo Feihong , Chen Ruoqian , Xu Zhuangjian , Ma Yaping , Song Wenhui , Feng Mei , Gu Xuefan , Qiu Wenjuan 
Published: November 2024

ABSTRACTObjectiveChildren born small for gestational age (SGA) are at increased risk of health issues. This study evaluated the efficacy, safety and optimal dose of PEGylated‐recombinant human growth hormone (PEG‐rhGH) in these children.DesignIn this multicentre, randomised, open‐label, Phase 2 trial conducted at nine clinical sites in China, patients were randomised 1:1 to receive subcutaneous injections of PEG‐rhGH at 0.1 mg/kg/week (low dose) or 0.2 mg/kg/week (high dose) for 52 weeks.PatientsNinety‐six children were born SGA.MeasurementsThe primary endpoint was the change in height standard deviation score (HT‐SDS) at Week 52.ResultsAt Week 52, the change in HT‐SDS in the high‐ and low‐dose groups was 0.923 ± 0.352 (p < 0.0001) and 0.511 ± 0.336 (p < 0.0001), respectively (least‐squares means difference, 0.410; 95% confidence interval 0.270–0.551; p < 0.0001). Height velocity (9.94 ± 1.55 vs. 8.37 ± 1.50 cm/year) was also significantly higher in the high‐dose than in the low‐dose group (p < 0.0001). Change in insulin‐like growth factor (IGF)‐1 SDS was 1.867 ± 1.747 and 1.168 ± 1.193 in the high‐ and low‐dose groups, respectively (p = 0.0189). IGF‐1/IGF binding protein‐3 and bone maturity were improved in both groups at Week 52. Most treatment‐emergent adverse events were mild to moderate; the safety profile was similar in both groups.ConclusionsPEG‐rhGH at either dose for 52 weeks was effective and well tolerated in children born SGA. Patients in the high‐dose group achieved greater improvement in HT‐SDS than in the low‐dose group.Trial RegistrationClinicalTrials. gov identifier: NCT02375620
CustomSketching: Sketch Concept Extraction for Sketch‐based Image Synthesis and Editing
Authors: Xiao Chufeng , Fu Hongbo 
Published: November 2024

AbstractPersonalization techniques for large text‐to‐image (T2I) models allow users to incorporate new concepts from reference images. However, existing methods primarily rely on textual descriptions, leading to limited control over customized images and failing to support fine‐grained and local editing (e.g., shape, pose, and details). In this paper, we identify sketches as an intuitive and versatile representation that can facilitate such control, e.g., contour lines capturing shape information and flow lines representing texture. This motivates us to explore a novel task of sketch concept extraction: given one or more sketch‐image pairs, we aim to extract a special sketch concept that bridges the correspondence between the images and sketches, thus enabling sketch‐based image synthesis and editing at a fine‐grained level. To accomplish this, we introduce CustomSketching, a two‐stage framework for extracting novel sketch concepts via few‐shot learning. Considering that an object can often be depicted by a contour for general shapes and additional strokes for internal details, we introduce a dual‐sketch representation to reduce the inherent ambiguity in sketch depiction. We employ a shape loss and a regularization loss to balance fidelity and editability during optimization. Through extensive experiments, a user study, and several applications, we show our method is effective and superior to the adapted baselines.
Digital Garment Alteration
Authors: Eggler A. M. , Falque R. , Liu M. , Vidal‐Calleja T. , Sorkine‐Hornung O. , Pietroni N. 
Published: November 2024

AbstractGarment alteration is a practical technique to adapt an existing garment to fit a target body shape. Typically executed by skilled tailors, this process involves a series of strategic fabric operations—removing or adding material—to achieve the desired fit on a target body. We propose an innovative approach to automate this process by computing a set of practically feasible modifications that adapt an existing garment to fit a different body shape. We first assess the garment's fit on a reference body; then, we replicate this fit on the target by deriving a set of pattern modifications via a linear program. We compute these alterations by employing an iterative process that alternates between global geometric optimization and physical simulation. Our method utilizes geometry‐based simulation of woven fabric's anisotropic behavior, accounts for tailoring details like seam matching, and incorporates elements such as darts or gussets. We validate our technique by producing digital and physical garments, demonstrating practical and achievable alterations.
VRTree: Example‐Based 3D Interactive Tree Modeling in Virtual Reality
Authors: Wu Di , Yang Mingxin , Liu Zhihao , Tu Fangyuan , Liu Fang , Cheng Zhanglin 
Published: November 2024

AbstractWe present VRTree, an example‐based interactive virtual reality (VR) system designed to efficiently create diverse 3D tree models while faithfully preserving botanical characteristics of real‐world references. Our method employs a novel representation called Hierarchical Branch Lobe (HBL), which captures the hierarchical features of trees and serves as a versatile intermediary for intuitive VR interaction. The HBL representation decomposes a 3D tree into a series of concise examples, each consisting of a small set of main branches, secondary branches, and lobe‐bounded twigs. The core of our system involves two key components: (1) We design an automatic algorithm to extract an initial library of HBL examples from real tree point clouds. These HBL examples can be optionally refined according to user intentions through an interactive editing process. (2) Users can interact with the extracted HBL examples to assemble new tree structures, ensuring the local features align with the target tree species. A shape‐guided procedural growth algorithm then transforms these assembled HBL structures into highly realistic, finegrained 3D tree models. Extensive experiments and user studies demonstrate that VRTree outperforms current state‐of‐the‐art approaches, offering a highly effective and easy‐to‐use VR tool for tree modeling.
𝒢‐Style: Stylized Gaussian Splatting
Authors: Kovács Áron Samuel , Hermosilla Pedro , Raidou Renata G. 
Published: November 2024

AbstractWe introduce 𝒢‐Style, a novel algorithm designed to transfer the style of an image onto a 3D scene represented using Gaussian Splatting. Gaussian Splatting is a powerful 3D representation for novel view synthesis, as—compared to other approaches based on Neural Radiance Fields—it provides fast scene renderings and user control over the scene. Recent pre‐prints have demonstrated that the style of Gaussian Splatting scenes can be modified using an image exemplar. However, since the scene geometry remains fixed during the stylization process, current solutions fall short of producing satisfactory results. Our algorithm aims to address these limitations by following a three‐step process: In a pre‐processing step, we remove undesirable Gaussians with large projection areas or highly elongated shapes. Subsequently, we combine several losses carefully designed to preserve different scales of the style in the image, while maintaining as much as possible the integrity of the original scene content. During the stylization process and following the original design of Gaussian Splatting, we split Gaussians where additional detail is necessary within our scene by tracking the gradient of the stylized color. Our experiments demonstrate that 𝒢‐Style generates high‐quality stylizations within just a few minutes, outperforming existing methods both qualitatively and quantitatively.
Using continuous glucose monitoring (CGM) to understand glucose control in women with obesity during pregnancy
Authors: Price Sarah A. , Lewin Alice , Nankervis Alison , Barmanray Rahul 
Published: November 2024

SummaryIn women with obesity but without diabetes, the factors driving poor pregnancy outcomes are inadequately understood. This study explores glucose as a potential mediator of adverse pregnancy outcomes in women with obesity. A two‐arm observational study was conducted in a single maternity hospital in Melbourne, Australia. Thirty‐eight women without diabetes, 20 of normal weight (BMI 20–24.9 kg/m2) and 18 with obesity (BMI ≥30 kg/m2), wore a continuous glucose monitor and had anthropometry and blood samples collected in early, mid and late pregnancy. Subjects who developed gestational diabetes were excluded prior to analysis. Groups were compared with respect to patient‐day mean glucose, mean blood glucose, daytime and nighttime glucose AUC, post‐prandial glucose AUC, HOMA‐IR and QUICKI. Five subjects developed gestational diabetes and were excluded from the analysis. Compared to controls (n = 19), women with obesity (n = 14) had significantly higher PDMG (p < .001), daytime and nighttime glucose AUC (p < .01) and post‐breakfast glucose AUC (p < .001 and p = .043) and post‐dinner glucose AUC (p < .001) in early and mid‐pregnancy. Mean plasma glucose and post‐lunch glucose AUC were only higher in women with obesity in early pregnancy (p = .009 and p < .001, respectively). In mid and late pregnancy, HOMA‐IR was significantly higher (p < .05) and QUICKI (p < .01) significantly lower in the women with obesity compared to controls. Most parameters that used to assess glycaemic control in pregnancy demonstrated significantly higher plasma glucose in women with obesity compared to controls. This supports the hypothesis that glucose is a mediator of adverse pregnancy outcomes in women with obesity.
Perinatal care in the earthquake disaster of the century: Nurses’ and midwives’ experiences
Authors: Özkan Asibe , Acar Zehra , Çömezoğlu Esra 
Published: November 2024

AbstractAimTo determine the experiences of nurses and midwives providing perinatal care in an earthquake area.BackgroundOn February 6, 2023, two earthquakes measuring 7.8 and 7.6 magnitudes struck Turkey, affecting a large area. It is crucial for perinatal care to be rapidly organized, provided under the most suitable conditions, and delivered by qualified health professionals. Understanding the post‐disaster experiences of nurses and midwives is crucial to addressing this issue.MethodThis is a qualitative study using phenomenological methodology with 8 nurses and 12 midwives in the earthquake‐affected area. Personal information and semistructured interview forms were used for data collection. Content analysis was used for data analysis.ResultsParticipants had a mean age of 33.75 years. The experiences of nurses and midwives were grouped into five themes: emotions experienced, challenges encountered, problems in perinatal services, coping mechanisms, and recommendations. The emotions experienced theme encompasses both positive and negative emotions. The challenges encountered theme includes challenging environmental conditions, organizational issues, problems with medical supplies and drugs, and being a victim of the earthquake. The problems in perinatal services theme includes pregnancy, childbirth, and postpartum services. The coping mechanism's theme encompasses problem‐focused and emotion‐focused coping strategies. The recommendations theme includes education and awareness, preparedness for disasters, and sustainable services.Implications for nursing/midwifery and health policyNurses and midwives working in the earthquake‐affected area experienced numerous physical and psychological challenges and encountered difficulties in delivering health services. A disaster education course including simulated disaster drills and practice can be integrated into the education system. Strengthening healthcare facilities against disasters and raising awareness among the community are crucial.
Hypothyroidism in a Psychiatric Outpatient Population of People With Intellectual Disabilities
Authors: Chester Verity , Cherukat Medha , Smith Nicholas , Patteril Elizabeth , Sawhney Indermeet , Zia Asif , Alexander Regi 
Published: November 2024

ABSTRACTIntroductionHypothyroidism is a chronic health condition which causes physical, cognitive and psychiatric symptoms. The prevalence of hypothyroidism in adults with intellectual disabilities is under researched.MethodHypothyroidism was examined among 463 patients within an outpatient intellectual disability psychiatric team. Clinic records were utilised for this study, including sociodemographic, psychiatric and physical health diagnoses.ResultsAmong the 463 patients, 43 (9%) had hypothyroidism. Compared to those without hypothyroidism, the hypothyroid group were significantly older, more likely to be female, and had increased rates of high cholesterol, diabetes, Down's Syndrome and dementia.DiscussionRates of hypothyroidism within this cohort of patients with intellectual disabilities were high (9%). The results suggest hypothyroidism in intellectual disability should be the focus of prospective research, in larger, more representative samples. This study indicates a need for increased awareness of, and resources for hypothyroidism in health services.
Comparison of the ability between dual‐energy X‐ray absorptiometry and bioelectrical impedance analysis for diagnosing low skeletal muscle mass and sarcopenia in patients with chronic liver disease
Authors: Tamura Yuki , Saeki Chisato , Kanai Tomoya , Kiryu Sachie , Nakano Masanori , Oikawa Tsunekazu , Torisu Yuichi , Saruta Masayuki , Tsubota Akihito 
Published: November 2024

AbstractBackground and AimSarcopenia and osteoporosis adversely impact the clinical outcomes of patients with chronic liver disease (CLD). The Japan Society of Hepatology (JSH) sarcopenia criteria utilize bioelectrical impedance analysis (BIA) for assessing muscle mass rather than dual‐energy X‐ray absorptiometry (DXA), which can simultaneously diagnose these comorbidities. We investigated the correlations and interchangeability between the appendicular skeletal muscle mass index (ASMI) values determined using BIA and DXA and evaluated the diagnostic ability of DXA for sarcopenia and osteosarcopenia in patients with CLD.MethodsThis cross‐sectional study included 173 patients with CLD. Sarcopenia was defined as low ASMIBIA according to the JSH and Asian Working Group for Sarcopenia (AWGS) criteria (ASMIBIA cutoff) or low ASMIDXA according to the AWGS criteria (ASMIDXA cutoff) and low handgrip strength. For women, a provisional cutoff value was set for ASMIDXA using the ASMIBIA cutoff (ASMIDXA‐altered cutoff).ResultsWe found that ASMIBIA and ASMIDXA were significantly correlated (r = 0.921; P < 0.001). The Bland–Altman plots demonstrated substantial agreement between ASMIBIA and ASMIDXA, with a mean difference of 0.0116 kg/m2. The prevalence rates of sarcopenia and osteosarcopenia diagnosed using the ASMIBIA cutoff were 26.0% and 17.3%, respectively. The kappa coefficients for the prevalence of sarcopenia and osteosarcopenia were 0.759 and 0.775 between ASMIBIA cutoff and ASMIDXA cutoff and 0.780 and 0.806 between ASMIBIA cutoff and ASMIDXA‐altered cutoff, respectively.ConclusionsThe utilization of DXA can facilitate the comprehensive assessment and management of musculoskeletal comorbidities in patients with CLD.
The regulatory network and critical factors promoting programmed cell death during embryogenesis
Authors: Luo An , Shi Ce , Luo Pan , Zhao Zifu , Sun Meng‐Xiang 
Published: November 2024

ABSTRACTProgrammed cell death (PCD) is essential for animal and plant development. However, the knowledge of the mechanism regulating PCD in plants remains limited, largely due to technical limitations. Previously, we determined that the protease NtCP14 could trigger PCD in the embryonic suspensor of tobacco (Nicotiana tabacum), providing a unique opportunity to overcome the limitations by creating synchronous two‐celled proembryos with ongoing PCD for transcriptome analysis and regulatory factor screening. Here, we performed comparative transcriptome analysis using isolated two‐celled proembryos and explored the potential regulatory network underlying NtCP14‐triggered PCD. Multiple phytohormones, calcium, microtubule organization, the immunity system, soluble N‐ethylmaleimide‐sensitive factor attachment protein receptor proteins, long non‐coding RNAs and alternative splicing are addressed as critical factors involved in the early stage of suspensor PCD. Genes thought to play crucial roles in suspensor PCD are highlighted. Notably, decreased antioxidant gene expression and increased reactive oxygen species (ROS) levels during suspensor PCD suggest a critical role for ROS signaling in the initiation of NtCP14‐triggered PCD. Furthermore, five genes in the regulatory network are recommended as immediate downstream elements of NtCP14. Together, our analysis outlines an overall molecular network underlying protease‐triggered PCD and provides a reliable database and valuable clues for targeting elements immediately downstream of NtCP14 to overcome technical bottlenecks and gain deep insight into the molecular mechanism regulating plant PCD.