bluuebunny/crossref_metadata_2025_split huggingface dataset:
Magnitude of Potential Biases in COVID-19 Vaccine Effectiveness Studies due to Differential Healthcare seeking following Home Testing: Implications for Test Negative Design Studies
Authors: Qasmieh Saba A. , Ferdinands Jill M. , Chung Jessie R. , Wiegand Ryan E. , Flannery Brendan , Rane Madhura S. , Nash Denis 
Published: December 2024

AbstractThe test-negative design (TND) is widely used to estimate COVID-19 vaccine effectiveness (VE). Biased estimates of VE may result from effects of at-home SARS-CoV-2 rapid diagnostic test (RDT) results on decisions to seek healthcare. To investigate magnitude of potential bias, we constructed decision trees with input probabilities obtained from longitudinal surveys of U.S. adults between March 2022 – October 2023. Prevalence of at-home RDT use and healthcare seeking following a positive or negative RDT result was estimated by participant vaccination status and socio-demographic characteristics. At trueVEvalues ranging from 5% to 95%, we defined bias as the difference between the observed and trueVE. Among 1,918 symptomatic adults, prevalence of at-home RDT use was higher among vaccinated (37%) versus unvaccinated (22%) participants. At-home RDT use was associated with seeking care, and participants reporting positive RDT were more likely than those reporting negative RDT to have sought care when ill. In primary analyses, we observed downward bias in VE estimates that increased in magnitude when trueVEwas low. Variations in proportions of vaccination, at-home RDT use and healthcare seeking by socio-demographic characteristics may impact VE estimates. Further evaluation of potential impact of at-home RDT use on VE estimates is warranted.
Inference with Viral Quasispecies: Methods for Individual Samples Comparative Analysis
Authors: Gregori Josep 
Published: December 2024

AbstractThe study of viral quasispecies structure and diversity presents unique challenges in comparing samples, particularly when dealing with single observations of single biosamples, taken from different time points or conditions. Traditional statistical methods are often inapplicable in these scenarios, where a biosample observation is represented by a vector of haplotypes and associated frequencies, necessitating the use of resampling techniques to empirically generate haplotype distributions from which estimate estimate expected values and corresponding variability. The authors propose a random delete-d jackknife to estimate standard errors followed by a z-test for comparing single quasispecies observations. The research highlights several key challenges in quasispecies analysis, including the need for high sequencing depth, limited clinical samples, technical inconsistencies leading to coverage disparities, and the sensitivity of diversity indices to sample size differences. To address these issues, the authors suggest using a combination of metrics with varying susceptibilities to large sample sizes, ranging from observed differences and ratios to multitest adjusted p-values. The paper emphasizes the importance of not relying solely on p-values, as the high statistical power resulting from large sample sizes can lead to very low p-values for small, potentially biologically insignificant differences.
Context-Dependent PSIICOS: A Novel Framework for Functional Connectivity Estimation Accounting for Task-Related Power Leakage
Authors: Kleeva Daria , Ossadtchi Alexei 
Published: December 2024

AbstractFunctional connectivity (FC) analysis using non-invasive neuroimaging methods, such as MEG and EEG, is often confounded by artifacts from spatial leakage and task-related power modulations. To address these limitations, we present Context-Dependent PSIICOS (CD-PSIICOS), a novel framework that improves the estimation of FC by incorporating task-specific cortical power distributions into the projection operator applied to the vectorized sensor-space cross-spectrum. Unlike the original PSIICOS approach, which is prone to suppress spatial leakage from all the sources, CD-PSIICOS dynamically adjusts the projection based on the active source distribution, enabling more accurate suppression of spatial leakage while preserving true zero-phase interactions. We validated CD-PSIICOS using realistic simulations and a multi-subject MEG dataset. The results demonstrate that CD-PSIICOS outperforms the original PSIICOS in suppressing artifacts at lower projection ranks, maintaining robust detection of functional networks across theta, alpha, beta, and gamma frequency bands. By requiring lower projection ranks for optimal performance, CD-PSIICOS facilitates the reconstruction of physiologically relevant networks with improved specificity and stability.
Multi-Cellular Network Model Predicts Alterations in Glomerular Endothelial Structure in Diabetic Kidney Disease
Authors: Patidar Krutika , Ford Versypt Ashlee N. 
Published: December 2024

AbstractDiabetic kidney disease (DKD) progression is often marked by early glomerular endothelial cell (GEC) dysfunction, including alterations in the fenestration size and number linked to impaired glomerular filtration. However, the cellular mechanisms regulating GEC fenestrations remain poorly understood due to limitations in existingin vitromodels, challenges in imaging small fenestrationsin vivo, and inconsistencies betweenin vitroandin vivofindings. This study used a logic-based protein-protein interaction network model with normalized Hill functions for dynamics to explore how glucose-mediated signaling dysregulation impacts fenestration dynamics in GECs. We identified key drivers of fenestration loss and size changes by incorporating signaling pathways related to actin remodeling, myosin light chain kinase, Rho-associated kinase, calcium, and VEGF and its receptor. The model predicted how hyperglycemia in diabetic mice leads to significant fenestration loss and increased size of fenestrations. We found that glycemic control in the pre-DKD stage mitigated signaling dysregulation but was less effective as DKD developed and progressed. The model suggested alternative disease intervention strategies to maintain fenestration structure integrity, such as targeting Rho-associated kinase, VEGF-A, NFκB, and actin stress fibers.
Predicting adverse outcomes after cardiac surgery using multi-task deep neural networks, clinical features, and electrocardiograms
Authors: Ong Chin Siang , Padrós-Valls Raimon , Reinertsen Erik , Song Steven , Young Katherine , Sundt Thoralf , Stultz Collin M. , Aguirre Aaron D. 
Published: December 2024

AbstractBackgroundRisk stratification models estimate the probabilities of adverse outcomes after cardiac surgical procedures, which helps clinicians and patients make informed decisions.ObjectivesWe used the 12-lead electrocardiogram (ECG) and/or Society for Thoracic Surgeons (STS) variables to predict postoperative outcomes using deep learning methods that can incorporate diverse data types.MethodsWe developed a deep convolutional neural network (“ECGNet”) that predicts operative mortality and other adverse outcomes using preoperative 12-lead ECGs (n=30,877) from 12,933 patients who underwent 13,299 cardiac surgical procedures. We also developed a deep neural network applied to preoperative STS variables (“STSNet”). STSNet and ECGNet are multi-task neural networks that utilize secondary outcomes to augment prediction of mortality using the same neural network.ResultsECGNet achieved a mean area under the receiver operating characteristic curve (AUC) of 0.85 for predicting operative mortality for all procedures and 0.93 for valve procedures. STSNet achieved a mean AUC of 0.85 for all procedures, with statistically similar performance as ECGNet for all procedures. Combining ECGNet and STSNet achieved a mean AUC of 0.90 for predicting operative mortality after all procedures, which is significantly higher than either ECGNet or STSNet alone.ConclusionsA deep neural network trained on STS features has higher predictive performance than previously reported for existing conventional models and is not limited to certain types of cardiac surgical procedures. A model trained on ECG alone can predict operative mortality with similar performance as STS features and adding ECG to STS features in a neural network can improve performance. These findings demonstrate the potential in leveraging deep learning on multidimensional data sources to predict outcomes after cardiac surgery.Condensed abstractIn this study, deep learning (DL) is applied to electrocardiograms and clinical features used in the standard STS risk prediction tools to generate new high-performing risk calculators for cardiac surgical procedures. Preoperative voltage waveforms contain information about cardiovascular risk and cardiac function and are passed as inputs to the deep learning model. These risk models apply to all cardiac procedures including those procedures that do not have standard STS risk calculators and provide improved performance. DL models enable the incorporation of additional modalities of data to improve risk prediction in cardiac surgery.
Upper limit on dark matter mass in the inert doublet model
Authors: Treesukrat Wararat , Pumsa-ard Kem , Supanam Nopmanee , Uttayarat Patipan 
Published: December 2024

We study the upper limit on dark matter mass in the context of the inert doublet model. We derive an analytic expression for the upper bound as a function of the mass squared differences between dark matter and other new particles. We find that the upper limit varies between 20 and 80 TeV depending on the mass squared splitting.

Published by the American Physical Society
2024
Effects of Japanese ryokan photographs on attributes perception, values and purchase intention
Authors: Karakawa Ryuichi , Kwun David , Kang Juhee , Hara Tadayuki 
Published: December 2024

Purpose
This paper aims to explore what attributes of Japanese Ryokans are important to potential customers and to what extent these attributes could enhance perceived values toward Japanese Ryokans.

Design/methodology/approach
This study used photos and descriptions of luxury Japanese Ryokans to explore potential customers’ perceptions of luxury Japanese Ryokans, which may be a new concept of luxury accommodations and hot spring facilities.

Findings
The results identified four major dimensions of Japanese Ryokan’s attributes and two significant dimensions of perceived value. Overall, Japanese Ryokan’s attributes affected both value dimensions, but in different ways. In addition, the two dimensions of perceived value significantly mediated the relationship between Ryokan attribute dimensions and purchase intention.

Research limitations/implications
This research sample was collected from participants currently living in the Northeastern region of the US and may not represent potential customers elsewhere. Furthermore, this study evaluated pre-purchased stage customers’ perceptions. Post-purchase evaluation may provoke more emotive responses from consumers. Finally, even though this study verified the positive effects of the Japanese Ryokan attribute dimensions on perceived value, other possible variables may also exist.

Practical implications
The findings provide vital insights for Japanese lodging companies to formulate effective value-based marketing strategies using visual materials to attract potential consumers. Superior service and stimulating customers’ sense of functional/hedonic and symbolic/financial value are emphasized. Furthermore, the results showed that fundamental hotel attributes, Japanese servicescape and culture could enhance potential US customers’ value perceptions.

Social implications
This study contributes to the lodging literature by identifying attributes that reflect Japanese Ryokans’ unique characteristics within the luxury hot spring hotel/resort context. The results indicate four dimensions of Japanese Ryokan attributes: hotel attributes, Japanese servicescape, hot springs and spas and Japanese culture. Furthermore, this study extended the research on luxury hospitality value study.

Originality/value
The results of this study revealed potential consumers’ value perceptions toward luxury Japanese Ryokans and their effects on purchase intention. This study provides valuable guidelines for Japanese Ryokans to create a value-based marketing strategy.
Epictetus’ stoic philosophy glance at resistance to change
Authors: Georgiadis Vasileios , Sarigiannidis Lazaros 
Published: December 2024

Purpose
The purpose of this paper is a selective introduction of specific underlying principles of Epictetan Stoicism in change management, aiming to mitigate resistance to change and achieve positive outcomes through redefining the perception of change by both its agents and recipients.

Design/methodology/approach
The applied methodology included locating, distilling and extracting selected philosophical fragments, coherent in terms of contextualisation with the field of management and paralleling their content with organisational, strategic and wider social and political objectives, to provide an interdisciplinary enriched perspective on managing resistance to change in any area.

Findings
The selective combination of Epictetus’ Stoic philosophy with change management literature, focusing on resistance to change, contributes as a beneficial strategic choice, multiplying the available alternatives, not only in managing resistance to change but also in a more general sense.

Practical implications
Selectively introducing Epictetan Stoic philosophical ideas into the behavioural response of resistance to change could clarify and improve communication to avoid crises and conflicts, as well as extend Epictetan Stoic wisdom to the wider community, beyond organisations and institutions. Although the hyper-competitive, globalised market seems to contradict the tempered Stoic philosophy, from which they radically differ, this research highlights strong points of relational relevance that could facilitate overcoming resistance to change with a much wider impact.

Originality/value
Epictetus’ Stoic philosophy is already widely deployed in management, but in this project, to the best of the authors’ knowledge, it is selectively cross-discussed for the first time with the theory and practice of resistance to change as a pilot intellectual platform, identifying personal perception and distinction as the primary cognitive compass in the organisational and managerial realm, so that the upcoming change projects would mitigate resistance to change.
The role of animosity, ethnocentrism, perceived quality, and purchase intention in evaluating the country-of-origin effect for wines
Authors: Pagan Karina Munari , Pagan Natália Munari , dos Santos Vanessa Martins 
Published: December 2024

Purpose
Propose a model that reports ethnocentrism, animosity, perceived quality and purchase intention in the evaluation of the country-of-origin effect for wine.

Design/methodology/approach
The sample for this study consisted of 154 students from the University of São Paulo Campus Ribeirão Preto and Piracicaba. Using scales already validated in the literature, a survey was carried out with 27 questions in the seven-point Likert format. The structural model was estimated using the partial least squares method.

Findings
It was verified that the country of origin positively influenced the purchase intention of wines, ethnocentrism positively influenced perceived quality, ethnocentrism positively influenced animosity, animosity negatively influenced the purchase intention and the country of origin positively influenced the perceived quality of the wine. It was verified that ethnocentrism did not influence purchase intention and the country of origin did not influence animosity.

Practical implications
As a managerial contribution, it helps managers to devise more effective strategies for the wine market.

Originality/value
An innovative model was proposed to investigate the role of animosity, ethnocentrism, perceived quality and purchase intention in evaluating the country-of-origin effect for wine.
Non‐Cell‐Based Extracorporeal Artificial Liver Systems: Historic Perspectives, Approaches and Mechanisms, Current Applications, and Challenges
Authors: Novokhodko Alexander , Hao Shaohang , Ahmad Suhail , Gao Dayong 
Published: December 2024

ABSTRACTBackgroundLiver disease is a growing burden. Transplant organs are scarce. Extracorporeal liver support systems (ELSS) are a bridge to transplantation for eligible patients. For transplant‐ineligible patients the objective becomes liver recovery.MethodsWe review seven decades of non‐cell‐based ELSS research in humans. Where possible, we emphasize randomized controlled trials (RCTs). When RCTs are not available, we describe the available human clinical data.ResultsThere are three broad cell‐free approaches to remove protein‐bound toxins (PBTs) and treat liver failure. The first is a dialysate binder suspension. A material that binds the PBT (the binder) is added to the dialysate. Binders include albumin, charcoal, and polystyrene sulfonate sodium. The unbound fraction of the PBT crosses the dialyzer membrane along a chemical gradient and binds to the binder. The second approach is using grains of sorbent fixed in a plastic housing to remove PBTs. Toxin‐laden blood or plasma flows directly through the column. Toxins are removed by binding to the sorbent. The third approach is exchanging toxin‐laden blood, or fractions of blood, for a healthy donor blood product. Most systems lack widespread acceptance, but plasma exchange (PE) is recommended in many guidelines. The large donor plasma requirement of PE creates demand for systems to complement or replace it.ConclusionsNow that PE has become recommended in some, but not all, jurisdictions, we discuss the importance of reporting precise PE protocols and dose. Our work provides an overview of promising new systems and lessons from old technologies to enable ELSS improvement.
Study on the glazed tiles of the Wenjiangduo site, Tibet, China (7th–9th centuries CE)
Authors: Ma Ding , Xi Lin , Luo Wugan , Zhang Bo , Zhang Na , Wangdue Shargan 
Published: December 2024

AbstractThe Central Plains of China have a long history of using glazed tiles on high‐level architectural structures. This architectural practice also had a profound impact on ancient Tibet. This study selected glazed tiles belonging to the Tubo period (7th–9th centuries CE), unearthed from the Wenjiangduo site, Lhasa city, Tibet Autonomous Region, China. A series of scientific analyses are presented, including X‐ray fluorescence, optical microscopy, scanning electron microscopy–energy‐dispersive spectrometry, X‐ray diffraction, dilatometry, and multicollector inductively coupled plasma mass spectrometry. The results reveal SiO2–Na2O, SiO2–PbO, SiO2–Na2O–PbO, and SiO2–CaO–Na2O systems in the glazes. The bodies can be divided into two categories: calcareous and noncalcareous. The original firing temperatures were likely between 900°C and 1000°C. The lead isotopes indicate that the provenance of lead material for glaze was in Tibet. The comparisons of glazing techniques reveal influences from the Central Plains of China and South and Southeast Asia, and provide new insights into the cultural interaction between Tibet and its surrounding regions in the Tubo period.
Comparison of Clinical Outcomes Between Delta‐Shaped and Circular Anastomoses After Laparoscopic Distal Gastrectomy
Authors: Yamada Takanobu , Nagasawa Shinsuke , Kanematsu Kyohei , Morita Junya , Onuma Shizune , Tanabe Mie , Nakayama Yuta , Shiozawa Manabu , Yamamoto Naoto , Ogata Takashi , Oshima Takashi 
Published: December 2024

ABSTRACTIntroductionLaparoscopic distal gastrectomy (LDG) is the standard treatment for gastric cancer, during which the laparoscopic Billroth I anastomosis technique, also known as the delta‐shaped anastomosis (DA), is widely performed. This study aimed to evaluate the differences in short‐ and long‐term symptoms between DA and traditional circular anastomosis (CA) techniques.MethodsWe retrospectively compared DA and CA procedures in patients undergoing LDG and subsequent reconstruction using the Billroth I method at the Kanagawa Cancer Center from 2017 to 2022.ResultsOther than blood loss, no significant differences were observed in the short‐term outcomes between the two groups. However, 1‐year post‐surgery, the DA group had a higher incidence of diarrhea, lower incidence of remnant gastritis, and higher weight loss than the CA group.ConclusionBoth DA and CA techniques were similar in terms of safety. However, the DA group had a higher incidence of diarrhea and a lower incidence of remnant gastritis than the CA group 1‐year after surgery.
Laparoscopic Repair of Internal Hernia at the Pelvic Floor After Low Anterior Resection: A Case Report
Authors: Yagyu Takuki , Yamamoto Manabu , Yasui Chiharu , Ishiguro Ryo , Kono Yusuke , Kihara Kyoichi , Matsunaga Tomoyuki , Tokuyasu Naruo , Sakamoto Teruhisa , Fujiwara Yoshiyuki 
Published: December 2024

ABSTRACTInternal hernia following colorectal surgery is an uncommon but serious complication. Most reported cases have involved hernias resulting from mesenteric defects after left‐sided colon resection. We herein report a case of laparoscopic repair of an internal hernia at the pelvic floor following low anterior resection. A 78‐year‐old woman with a history of robotic low anterior resection for rectal cancer presented to our hospital with severe abdominal pain and vomiting. Computed tomography revealed a strangulated bowel passing dorsally behind the reconstructed colon in the pelvis, prompting emergency surgery. The hernia orifice was formed by the levator ani and the reconstructed colon. We successfully reduced the hernia, laparoscopically sutured the orifice, and resected the strangulated bowel segment. The patient was discharged without complications and has experienced no hernia recurrence to date. Although internal hernia at the pelvic floor is very rare, this case demonstrates that safe laparoscopic reduction and repair are possible.
From Traditional to Cutting‐Edge: Transforming Pulmonary Valve Assessment With Advanced Echocardiography Techniques
Authors: Kemaloglu Oz Tugba , Kavalerchyk Vladyslav , Hristova Krasimira , Felix Alex dos Santos , Sivashanmugarajah Anosh Shane , Baumann Angus A. , Mladenow Alexander 
Published: December 2024

AbstractThe pulmonary valve (PV), although often less emphasized than other heart valves, is crucial for cardiac function and hemodynamics. Historically, the PV has been underrepresented in echocardiographic assessments due to its rare involvement in pathological conditions, particularly in adults. Additionally, the anatomical position of the PV makes it one of the most challenging valves to visualize using conventional echocardiography. Traditional two‐dimensional (2D) techniques, while foundational, have limitations in capturing the full spectrum of valve pathology and dynamics. Recent advancements in echocardiography, especially the integration of three‐dimensional (3D) imaging, have significantly enhanced the assessment of PV disorders. 3D echocardiography (3DE) offers superior accuracy in visualizing valve morphology and function, overcoming the limitations of angle dependency and suboptimal imaging planes typical of 2D assessments. This evolution in imaging techniques facilitates more precise diagnoses and improved management of conditions such as pulmonary stenosis (PS) and regurgitation (PR). This review explores the transition from conventional echocardiographic methods to advanced approaches that are reshaping our understanding of the PV, emphasizing the importance of incorporating these cutting‐edge techniques into routine clinical practice to enhance patient outcomes.