bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sepsis in Global Health: Current global strategies to fight against sepsis
Authors: Saito Hiroki 
Published: February 2025

AbstractSepsis is prevalent globally, causing a significant disease burden in global health. Sepsis is a complex disease condition, and therefore, the effective strategies to overcome sepsis need to be set up in layers across different sectors and populations. Over the years, the global society has been making progress in addressing sepsis as a public health threat. This review aims to examine and describe the current sepsis strategies globally and to sustain the fight against sepsis in the context of global health.
Application Potential of UHMWPE Based Composite Materials With MWCNTs and ZnO Addition in Acetabular Cup Prostheses
Authors: Wang Songquan , Yu Lu , Bo Yun , Jia Jiaqi , Dong Yudie , Cui Yuming , Li Haiquan , Hang Wenlu 
Published: February 2025

ABSTRACTIn order to improve the wear and aging resistance of UHMWPE based polymer acetabular cup prosthesis, the hot‐embossing method is used to prepare multi‐component MWCNTs/ZnO added UHMWPE based composite materials in this article. The research results found that the diffusion characteristics of MWCNTs/ZnO additives in composite materials have a significant impact on their wear resistance. Under the condition of 25% NBS, the wear rate of the UMZ‐3 sample was 13.94% lower than that of the pure U sample. Although MWCNTs can play a role in reducing friction to a certain extent, their high hardness characteristics may lead to the release of the composite material as a third body during friction. The optimization of heat transfer performance of MWCNTs/ZnO composite materials has alleviated the aging process to a certain extent and suppressed the softening phenomenon. Compared with the OI value of the pure U sample, which is in the range of 1.4–5.1, the OI value of the UMZ‐3 sample is in the range of 2.62–3.06. In addition, the synergistic effect of MWCNTs/ZnO effectively inhibits the oxidation process while also having a positive impact on cell proliferation, demonstrating its potential as an additive to enhance the service life of polymer acetabular cups.
Variability of jaw muscles in Tunisian street dogs and adaptation to skull shape
Authors: Brassard Colline , Wertani Lobna , Herrel Anthony , Jerbi Hassen 
Published: February 2025

AbstractThe impact of artificial selection on the masticatory apparatus of dogs has been poorly studied, and comparative data with dogs subjected to more natural constraints are lacking. This study explores the jaw musculature of Tunisian street dogs, which are largely free from the influence of breed‐specific selection. The masticatory muscles (digastric, masseter, temporalis, and pterygoid) of 27 adult dogs were dissected and muscle mass and physiological cross‐sectional area (PCSA) were quantified, providing a baseline for comparisons between dogs from more natural versus more controlled environments. Our findings reveal that the morphology of the jaw adductor muscles is remarkably conserved among dogs, despite significant variation in skull shape. Additionally, all masticatory muscles scale isometrically with body mass. Notably, females exhibit functional adaptations that optimize muscle strength, particularly in the temporalis muscle, despite showing smaller overall muscle volumes compared to males. This could be linked to differences in predation, competition for food, or factors related to sexual behavior. Preliminary evidence suggests that captivity may limit the development of muscle mass and PCSA in the temporalis muscle, likely due to changes in lifestyle and diet. Significant relationships were also observed between skull shape and muscle data, particularly in the mandible, indicating that skull variability reflects jaw adductor muscle anatomy to some degree. This study enhances our understanding of jaw muscle morphology and function in feral dog populations and offers insights into the adaptation of the masticatory apparatus in dogs.
Evaluating the Potential Immunostimulatory Effects of Cryptomeria japonica Leaf Essential Oil on Honey Bees (Apis mellifera)
Authors: Wang Hao‐Yung , Chen Ying‐Yu , Liu Chin‐Jung , Huang Shih‐Wei , Ho Shang‐Tse 
Published: February 2025

ABSTRACTThis study investigated the effects of Cryptomeria japonica leaf essential oil (CjLEO) on honey bee health, focusing on both toxicity and gene expression modulation. Initial toxicity assessments revealed that high concentrations of CjLEO (75 and 100 ppm) were lethal to honey bees, resulting in complete mortality within a short period. Conversely, a lower concentration of 10 ppm exhibited no significant toxic effects, prompting further investigation into its sublethal impacts. Transcriptome analysis via next‐generation sequencing demonstrated that CjLEO at 10 ppm induced significant changes in honey bee gene expression compared to the control group. Principal component analysis (PCA) and differential gene expression (DEG) analysis identified more than 9,000 genes, with notable upregulation of immune‐related genes, including hymenoptaecin, abaecin, and apidaecin1. Gene ontology (GO) enrichment analysis indicated that these differentially expressed genes were primarily associated with immune responses, such as defense and innate immune pathways. The chemical composition of CjLEO, characterized by GC–MS, identified 16 compounds, with major components including α‐pinene, elemol, α‐eudesmol, and kaur‐16‐ene. These compounds are known for their antimicrobial properties, which likely contribute to the observed immunomodulatory effects. CjLEO at a concentration of 10 ppm enhances honey bee immunity without exhibiting significant toxicity, positioning it a promising candidate for improving honey bee resilience against pathogens. Future research should investigate the mechanisms of immune activation and optimize application methods for practical beekeeping, aiming to improve colony health while reducing dependence on synthetic chemicals.
High‐Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression
Authors: Burk Lukas , Bender Andreas , Wright Marvin N. 
Published: February 2025

ABSTRACTVariable selection is an important step in the analysis of high‐dimensional data, yet there are limited options for survival outcomes in the presence of competing risks. Commonly employed penalized Cox regression considers each event type separately through cause‐specific models, neglecting possibly shared information between them. We adapt the feature‐weighted elastic net (fwelnet), an elastic net generalization, to survival outcomes and competing risks. For two causes, our proposed algorithm fits two alternating cause‐specific models, where each model receives the coefficient vector of the complementary model as prior information. We dub this “cooperative penalized regression,” as it enables the modeling of competing risk data with cause‐specific models while accounting for shared effects between causes. Coefficients that are shrunken toward zero in the model for the first cause will receive larger penalization weights in the model for the second cause and vice versa. Through multiple iterations, this process ensures stronger penalization of uninformative predictors in both models. We demonstrate our method's variable selection capabilities on simulated genomics data and apply it to bladder cancer microarray data. We evaluate selection performance using the positive predictive value for the correct selection of informative features and the false positive rate for the selection of uninformative variables. The benchmark compares results with cause‐specific penalized Cox regression, random survival forests, and likelihood‐boosted Cox regression. Results indicate that our approach is more effective at selecting informative features and removing uninformative features. In settings without shared effects, variable selection performance is similar to cause‐specific penalized Cox regression.
Polysulfone Membrane Embedded With Chiral Condensation Product: A Dual Approach of Experimental Validation and Theoretical Prediction for Enantiomeric Separation of Racemic Alanine
Authors: Gogoi Monti , Goswami Rajiv , Hazarika Swapnali 
Published: February 2025

ABSTRACTThe precise separation of enantiomers is crucial in the pharmaceutical industry for the production of single enantiomer drugs. In this study, a novel chiral composite membrane was developed by embedding L‐alanine glutaraldehyde condensation product (L‐AGCP) onto a polysulfone (PSf) matrix for enantioselective separation. The PSf‐L‐AGCP membranes were systematically characterized using spectroscopic techniques to confirm the successful incorporation of L‐AGCP and to evaluate the structural properties. Permeation studies using DL‐alanine demonstrated that the membrane achieved an enantiomeric excess (ee) of 94% for D‐alanine, with a flux of 68.1 mmol·m−2·h−1 under optimal conditions of 4 bar of transmembrane pressure and 25 mL·min−1 flow rate. The enantioselective performance of the membrane was influenced by varying in feed concentration, transmembrane pressure, and flow rate, achieving the highest ee at lower feed concentrations and moderate pressures. Computational study using density functional theory (DFT) revealed a significant interaction energy difference between L‐AGCP and the alanine enantiomers, with values of −32.63 kJ·mol−1 for L‐alanine and −16.94 kJ·mol−1 for D‐alanine, explaining the selective retention of L‐alanine on the membrane. This study demonstrates the potential of L‐AGCP embedded PSf membranes in overcoming the permeability‐selectivity trade‐off in enantioselective separations, offering a promising avenue for scalable, efficient chiral separations in pharmaceutical applications.
How ESG Performance Promotes Organizational Resilience: The Role of Ambidextrous Innovation Capability and Digitalization
Authors: Deng Qining , Karia Noorliza 
Published: February 2025

ABSTRACTEnterprises are increasingly under pressure to respond to volatile market environments and uncertainties. Although higher environmental, social, and governance (ESG) performance facilitates the stabilization of corporate operations, studies provide limited understanding on how ESG performance affects organizational resilience. By analyzing dataset from China's listed enterprises from 2010 to 2023, this research examines the connection between ESG performance and organizational resilience, as well as its influence mechanism. Results evidence that ESG performance significantly increases organizational resilience. In addition, ESG performance promotes organizational resilience by improving ambidextrous innovation capability (AIC). Further analysis indicated that digitalization amplified the positive influence of ESG on financial volatility. Our research determines the value of ESG, AIC, and digitalization in assisting enterprises to develop a resiliency capability to cope with threat and stressful environment. This research offers a novel theoretical perspective through the integration of stakeholder theory and dynamic capability view (DCV) to explore how ESG promotes organizational resilience by releasing the value of its own, AIC and digitalization. It offers practical implications for practitioners to shape strategies to actively embracing ESG practices, nurturing dynamic capabilities, such as AIC and higher degree of digitalization to effectively promote organizational resilience to respond to crises and uncertainty.
Water Disclosure and Firm Value: A Pathway to Corporate Sustainability
Authors: Santoso Arif , Setiawan Doddy , Brahmana Rayenda Khresna 
Published: February 2025

ABSTRACTThis paper examines the relationship between water disclosure and firm value within the stakeholder framework. Data were collected from non‐financial companies listed on the FTSE Emerging Asia Pacific index from 2018 to 2022, encompassing 779 observations from seven countries. Using a robust panel regression model, our results indicate that water disclosure positively impacts firm value. Transparent water disclosure not only enhances corporate reputation but also fulfills stakeholders' growing demand for environmental accountability. This study provides empirical evidence that companies' transparent water management enhance their market value, supporting Stakeholder Theory. We also tested the robustness of our findings using sub‐sampling, alternative measurements, and address potential endogeneity issues. Our study uniquely focuses on the specific impact of water disclosure, contrasting previous research on overall corporate social responsibility (CSR) disclosure. This research offers significant theoretical, empirical, and managerial insights into the role of environmental disclosure in business ethics and firm valuation.
Detergent/surfactant retention during ultrafiltration in the formulation of biotherapeutics
Authors: Chu Liang‐Kai , Du Zhuoshi , Billups Matthew , Oh Hee Jeung , Zydney Andrew L. 
Published: February 2025

AbstractSurfactants like polysorbate (Tween®) are commonly used as excipients in the production of monoclonal antibodies and other recombinant proteins. The retention behavior of these excipients in the final ultrafiltration step can be difficult to predict due to the presence of both monomers and micelles. This study examined the retention of polysorbate during ultrafiltration through cellulose and polyethersulfone membranes with nominal molecular weight cutoffs of 10, 30, and 100 kDa. Novel flux stepping experiments were performed to examine the effects of concentration polarization on surfactant transmission. Polysorbate 20 transmission through the 30 kDa membrane was a strong function of the surfactant concentration, decreasing from nearly 100% for a 2.5 mg/L solution to <10% for a 50 mg/L solution due to high retention of the micelles. Polysorbate transmission was lower for the polyethersulfone membrane due to polysorbate adsorption. A simple mathematical model was developed to describe the polysorbate transmission accounting for the effects of concentration polarization as well as the presence of surfactant monomers and micelles. Model calculations were in good agreement with the experimental data, providing a framework for the analysis and design of ultrafiltration/diafiltration processes for biopharmaceutical formulations containing surfactants.
Multi‐Institutional MR‐Derived Radiomics to Predict Post‐Exenteration Disease Recurrence in Patients With T4 Rectal Cancer
Authors: O'Sullivan Niall J. , Tohidinezhad Fariba , Temperley Hugo C. , Ajredini Mirac , Sokmen Bedirye Koyuncu , Atabey Rumeysa , Ozer Leyla , Aytac Erman , Corr Alison , Traverso Alberto , Meaney James F. , Kelly Michael E. 
Published: February 2025

ABSTRACTIntroductionLocal recurrence and distant metastasis remain a concern in advanced rectal cancer, with up to 10% and 20%–30% of patients suffering local and distal progression, respectively. Radiomics refers to a novel technology that extracts and analyses quantitative imaging features from images, which can be subsequently used to develop and test clinical models predictive of outcomes. We aim to develop and test an MRI‐based radiomics nomogram predictive of disease recurrence in patients with T4 rectal cancer.MethodsWe conducted a multi‐institutional retrospective analysis of 55 patients with T4 rectal cancer treated with neoadjuvant chemoradiotherapy followed by exenterative surgery. Radiomic features were extracted from pre‐treatment T2‐weighted MRI scans and used to construct predictive models. The top‐performing radiomic signatures were identified, and internal validation with 1000 bootstrap samples was performed to calculate optimism‐corrected performance measures.ResultsTwo radiomic signatures were identified as strong predictors of post‐operative disease recurrence. The best‐performing model achieved an optimism‐corrected AUC of 0.75, demonstrating good discriminative ability. Calibration plots showed a satisfactory fit of the predictions to the actual rates, and decision curve analyses confirmed the positive net benefit of the models.ConclusionThe MRI‐based radiomics nomogram provides a promising tool for predicting disease recurrence in T4 rectal cancer patients post‐exenteration. This model could improve risk stratification and guide more personalized treatment strategies. Further studies with larger cohorts and external validation are needed to confirm these findings and enhance the model's generalizability.
“When Too Many Become Too Much”: Social Crowding and Its Consequences for Social Exclusion
Authors: Zhang Junnan , Wang Yixiang , Wang Wuyu , Feng Guo 
Published: February 2025

ABSTRACTGiven the dearth of research on the psychological mechanisms underlying social exclusion behaviour in crowded environments, the present study delves into the psychological implications of social crowding, examining its consequential effects on social exclusion behaviour. Utilising a stigmatisation induction Cyberball paradigm, two experiments were conducted to explore how social crowding affects exclusionary actions and the moderating role of group type. Experiment 1 revealed that social crowding significantly increases both the frequency of exclusions and the subjective sense of exclusion, with perceived control and negative emotions mediating this relationship in a sequential chain. Experiment 2 extended these findings by demonstrating that the crowding‐induced increase in social exclusion behaviour is moderated by the type of group; specifically, the effect was pronounced when the crowd consisted of strangers but not when composed of acquaintances. These results provide a clearer understanding of how environmental factors can influence social dynamics, suggesting potential interventions to reduce social exclusion in crowded environments. Please refer to the section to find this article's community and social impact statement.
INtravaScular OptIcal Frequency Domain ImaGing EvaluaTion of the Femoropopliteal Lesion With JETSTREAM Atherectomy (INSIGHT JETSTREAM)
Authors: Kuroda Koji , Kozuki Amane , Uzu Kenzo , Todoroki Takafumi , Iwasaki Masamichi , Imanishi Junichi , Yamashita Souichiro , Fujimoto Wataru , Takemoto Makoto , Masuda Mayuka , Okuda Masanori 
Published: February 2025

ABSTRACTBackgroundThere have been no prior reports of detailed evaluations using intravascular imaging during Jetstream treatment.AimsThis study, therefore, aimed to investigate the effects of calcification characteristics and wire bias on lumen gain in Jetstream atherectomy using optical frequency domain imaging (OFDI).MethodsThis study enrolled consecutive patients who underwent OFDI‐guided Jetstream atherectomy with 1.85 mm, 2.4 mm blade down (BD), and 2.4 mm blade up (BU). Cross‐sections were categorized into three groups based on OFDI findings before Jetstream atherectomy: fibrous plaques (FPs), calcified protrusions (CPs), and eruptive calcified nodules (ECNs).ResultsTwenty‐seven patients (36 limbs) were enrolled, and 1502 cross‐sections were serially analyzed. There were 186 FPs, 753 CPs, and 563 ECNs. The acquired lumen gain after all atherectomy steps was significantly larger in the ECNs group than in the CPs and FPs groups. ECNs had the strongest effect on the variability in the lumen gain. In the effect of wire bias on the degree of debulking, a significant correlation was observed between wire distance and lumen gain in 1.85‐ and 2.4‐mm BD atherectomy procedures. However, in the 2.4‐mm BU procedure, no significant correlation was recorded.ConclusionsJetstream atherectomy for ECNs can result in greater lumen gain. In the 1.85‐ and 2.4‐mm BD atherectomy procedures, wire bias may be involved in lumen gain, whereas in the 2.4‐mm BU procedure, lumen gain is obtained regardless of wire bias. In Jetstream atherectomy procedures, a detailed assessment using OFDI may contribute to predicting the degree of debulking.Trial RegistrationUMIN ID: UMIN000054588. https://center6.umin.ac.jp/cgi-bin/ctr/ctr_view_reg.cgi?recptno=R000061997.
Detection of Lead Chrome Green in Tea Based on Near‐Infrared Reflectance Spectroscopy
Authors: Jiang Xiaogang , Cheng Penghui , Ge Kang , Lv Siwei , Liu Yande 
Published: February 2025

ABSTRACTTea color is a part of tea quality, and illegal addition of lead chrome green (LCG) to improve tea quality cannot be identified by human eyes. This paper is based on near‐infrared (NIR) reflectance spectroscopy to detect LCG stained tea and to investigate the feasibility of qualitative and quantitative methods. Firstly, the LCG in tea was qualitatively analyzed by partial least squares discriminant analysis (PLS‐DA), random forest (RF), and least squares support vector machine (LSSVM) classification models, and the results showed that the classification accuracy of LSSVM reached 100%. For quantitative analysis, Savitzky–Golay convolutional smoothing (S‐G) preprocessing combined with three feature extraction algorithms, namely, joint competitive adaptive weighted sampling (CARS), uninformative variable elimination (UVE), and successive projection algorithm (SPA), were used to build partial least squares (PLS), RF, and LSSVM regression models sequentially on the preprocessed data. The S‐G‐UVE‐LSSVM showed the best regression prediction ability in detecting LCG in tea, with a tested R2 of 0.96. These results show the feasibility of NIR spectroscopy for the detection of added LCG in tea.
Application of fiber optic sensors at different tunnel linings at the Kühtai 2 hydropower station
Authors: Henzinger Michael R. , Frissen Mitch , Cvetanovic Aleksandra , Klarer Andreas , Erlacher Thomas 
Published: February 2025

AbstractThis study presents the innovative application of fiber optic sensors, specifically Fiber Bragg Grating (FBG) sensors, in the Kühtai 2 hydropower station project in Austria. The project involves the construction of a pressure tunnel connecting the Kühtai and Finstertal reservoirs, incorporating concrete linings with and without sealing membrane as well as steel linings. The sensors were accurately installed individually to each lining type, overcoming problem statements such as positioning sensors on unreinforced concrete without damaging the sealing foil or compromising the structural integrity. The monitoring system enables real‐time data collection on strain and temperature variations during key phases, including concreting, prestressing, pressure, or filling tests. This approach illustrates the effectiveness of integrating fiber optic technology into hydropower infrastructure, offering enhanced monitoring accuracy and improved decision‐making for maintenance and operational strategies. The findings serve as a reference for future projects, presenting the potential of the demonstrated sensor applications in demanding engineering environments.