bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of Caregivers and Their Children With Cancer Regarding Information Provided by Healthcare Teams: Advancing Stages Toward the Creation of a Structured Education Program at the National Level
Authors: De la Maza Verónica , Fierro Virginia , Facusse Carolina , Carvajal Daniela , Pavez Tiare , Méndez Karen , Barra María , Torres Juan P. , Torres Daniela , Moscoso Paz , Santolaya María , Paris Claudia 
Published: February 2025

ABSTRACTIntroductionThe dissemination of information to caregivers of pediatric cancer patients in Chilean hospitals is now sporadic and contingent upon available time, underscoring the need for a systematic education program. This study assesses caregivers’ perceptions of the information provided by healthcare teams to support the development of a national education program tailored to their needs.MethodsA descriptive, prospective, multicenter study was conducted from June 2021 to March 2022 across six public hospitals in Chile. The study included caregivers of children undergoing cancer treatment. Caregivers completed a survey assessing the education received and their preferred educational methods. Data were analyzed using STATA 18 and Graph Pad 6.0, with qualitative responses analyzed through an iterative coding process.ResultsOf 173 respondents, 94% rated the education received as very good or good. While 51% felt well‐informed at hospital discharge, 28% desired more information. Caregivers preferred information from healthcare teams (88%), websites (55%), and written materials (51%). Significant differences were found in preferred educational content based on cancer type and the time elapses since diagnosis.ConclusionCaregivers generally rated the education provided positively but expressed a need for more structured and targeted information. The findings inform the design of a national education program, emphasizing the need for tailored content and improved communication strategies to enhance caregiver support.
Research on the effects of contents and types of water‐soluble chitosan on properties of antibacterial natural latex foam
Authors: Li Yi , Xue Yuanyuan , Zhu Yanchao , Li Xiaoye , Gao Shuang 
Published: February 2025

AbstractThis study used carboxymethyl chitosan (CMCS) and quaternized chitosan (QCS) as antibacterial agents to produce antibacterial natural rubber latex foam (NRLF) via the Dunlop method. The micro‐morphology, physical properties, tensile strength, compressive properties, and antibacterial activities were evaluated. The experimental results show that adding chitosan significantly reduces the pore size of the NRLF foam and makes its microstructure more compact. Specifically, at 0.4phr NRLF‐QCS, 42% of the foam pores are 0.2 mm in size. Both NRLF‐CMCS and NRLF‐QCS showed increased density, cross‐linking density, and water absorption with higher filler content. Compared to the control, both foams exhibited improved tensile properties: NRLF‐CMCS increased by 85% to 0.26 MPa, while NRLF‐QCS increased by 178% to 0.39 MPa. However, rebound properties after compression declined, with 0.8phr NRLF‐CMCS showing the lowest rebound rate at 48.56%. In terms of antibacterial properties, both NRLF‐CMCS and NRLF‐QCS show enhanced antibacterial activities against Escherichia coli, with NRLF‐CMCS demonstrating superior performance. The inhibition zone diameter increased from 10.6 to 13.24 mm, indicating significantly improved antibacterial efficacy.Highlights
The antibacterial natural rubber latex foam (NRLF) was prepared by Dunlop method.
Carboxymethyl chitosan (CMCS) and quaternized chitosan (QCS) were used as antibacterial agents to fabricate antibacterial NRLF.
The physical properties of NRLF‐CMCS and NRLF‐QCS exhibit an increasing trend.
Both NRLF‐CMCS and NRLF‐QCS exhibited enhanced efficacy against Escherichia coli.
Use of deep eutectic solvents based on choline chloride, urea, and lactic acid as plasticizers in low‐density polyethylene films
Authors: Küçükçakır Özgür , Dağdelen Adnan Fatih 
Published: February 2025

AbstractThis study aims to investigate the performance of deep eutectic solvents (DESs) as plasticizers in low‐density polyethylene (LDPE) films and to compare them with di(2‐ethylhexyl) phthalate (DEHP). DESs were produced by mixing choline chloride with lactic acid and urea in 1:1 and 1:2 molar ratios. The prepared DESs were added to LDPE at two different ratios (10% and 30%), and films with 10 different compositions were produced by the extrusion method. The densities, viscosities, pH, volatility, and thermal values of the produced DESs were determined between 1.14 and 1.18 g/cm3, 22 and 99 mPa.s, 0.05 and 9.02, 0.7% and 18.9%, and <−70 and 63°C, respectively. When the DESs were examined in terms of their bond structure, it was observed that they could be produced successfully. The LDPE films with DES were characterized by thickness, mechanical, barrier, optical, DSC, FTIR, SEM, water behavior properties, heat sealability, and overall migration (OM) properties. According to the results of some basic analyses performed on the films, the first three films with the best properties (CL1:30, CL2:30, and DEHP:30) were determined using TOPSIS from the multi‐criteria decision hierarchy techniques. It was determined that the DES films with the most suitable properties had better properties than the control and DEHP films in terms of tensile strength (10–12 MPa), elongation at break (500%–545%), water vapor permeance (0.03–0.04 g/m2/h/kPa), and oxygen transmission rate (13–14 cm3/m2/day), water contact angle (>99°), and UV light barrier analyses. DES did not cause any change in the DSC and OM values of LDPE films. In general, important results were obtained regarding the use of DES as effective plasticizers in LDPE films.Highlights
DES is a sustainable alternative to DEHP for LDPE plasticization.
DES‐plasticized films showed 400% better elongation performance.
DES‐plasticized films showed 25% better water vapor and 80% better oxygen barriers.
DES‐plasticized films have superior UV light barrier and hydrophobic properties.
DES‐plasticized films did not affect thermal stability or OM.
Rheological, microstructural, thermal and barrier properties of polylactide/polyethylene glycol/inulin/encapsulated cinnamon essential oil films
Authors: Ahmed Jasim , Joseph Antony , Ejaz Mohammad , Al‐Attar Hasan 
Published: February 2025

AbstractThe ongoing use of polymeric materials and associated pollution is a challenge to our society. It has resulted in a shift in the industry from polymeric to sustainable packaging. The aim of this work was to fabricate extruded polylactide (PLA)‐based packaging by incorporating inulin, polyethylene glycol, and cinnamon essential oil encapsulates. The fabricated film samples were characterized by various analytical tools (rheometer, TGA, FTIR, XRD, and AFM) to gain deeper insights into their compatibility and the effect of microstructure evolution on film‐forming properties for their potential packaging applications. Rheologically, the blend melt exhibited a shear‐thinning behavior and improved the mechanical rigidity of plasticized PLA films upon incorporation of CEO encapsulates. The thermal stability of the films was validated by the TGA thermograms, and the analyzed films showed insignificant variations from one another. The smoothness of the PLA/PEG/CEOINL film, along with the presence of some inulin particles on the surface, was evident. The XRD and FTIR peaks suggest a loss of volatiles during extrusion. The barrier properties of the films did not enhance with the addition of encapsulates or inulin to PLA. Overall, the PLA/PEG/CEOINL film has potential for active food packaging in anticipation of its antimicrobial properties, as demonstrated in the encapsulates.Highlights
PLA/inulin/cinnamon essential oil active packaging films were fabricated.
The addition of inulin lowered the mechanical and thermal properties of the film.
The melt rheology of the films exhibited the shear‐thinning behavior.
Unlike inulin, CEO distributes well on the PLA composite films.
Room‐Temperature Healable and Mechanically Robust Polyurea‐Urethane Based on Dynamic Tetrahedral Boronate‐Esters Bonds and Hydrogen Bonds
Authors: Hao Yujia , Zhu Guangming , Li Ben 
Published: February 2025

ABSTRACTAlthough some studies have reported high‐toughness or high‐strength self‐healing materials, the self‐healing process still requires demanding conditions such as high temperatures. It remains challenging to achieve a balance between mechanical properties and self‐healing efficiency under mild conditions. Herein, we design a novel self‐healing polyurea‐urethane (PUU) material. The polymer has crosslinked internal “cores” and well‐designed flexible chains with multiple alicyclic structures, which are crosslinked via tetrahedral boronate‐esters bonds (TBEs) and hydrogen bonds, resulting in a dynamic crosslinked PUU network (denoted as TBE‐PUU). The resulting materials (TBE‐PUU2) not only exhibit outstanding tensile strength (28.5 MPa), stretchability (1217%), toughness (166.1 MJ m−3), etc., but also possess excellent self‐healing ability in response to water or thermal stimuli. It achieves high self‐healing efficiency of 92.0% at room temperature for 48 h with the aid of water and 97.7% at 60°C for only 8 h. The new strategy offers new possibilities to seek a balance between material dynamic properties and mechanical robustness.
scSCC: A swapped contrastive learning‐based clustering method for single‐cell gene expression data
Authors: Wang Xiang , Yang Sansheng , Li Hongwei 
Published: February 2025

AbstractCell clustering plays a pivotal role in deciphering the intricacies of cell types, facilitating subsequent cell annotation endeavors within scRNA‐seq data analysis. In this paper, we propose a novel swapped contrastive clustering algorithm for scRNA‐seq data called scSCC. scSCC combines two contrastive learning modules, namely the instance contrastive learning module and the swapped prediction module, to extract clustering‐friendly cell representations. Through the combination of swapped prediction module and instance contrastive learning module, scSCC can retrieve disentangled cell representations and amplify the clustering signals in the latent space, leading to satisfactory clustering performance. Different from existing contrastive‐learning‐based scRNA‐seq data clustering algorithms, the swapped prediction module of scSCC injects clustering signals to the latent space through some clustering prototypes. The swapped prediction module encourages cells of the same cluster to gravitate toward the common clustering prototype and naturally stay away from other prototypes in the latent space, hence cell representations obtained by scSCC are more clustering‐friendly compared to other algorithms. Experimental results on real scRNA‐seq datasets show that scSCC achieves improved clustering performance compared with the benchmark methods. The ablation study on two contrastive modules exhibits the promotion by the combination of instance learning module and swapped prediction module. The source codes are available at the GitHub website (EnchantedJoy/scSCC).
Full Study, Model Verification, and Control of a Five Degrees of Freedom Hybrid Robotic‐Assisted System for Neurosurgery
Authors: Sedky Ahmed , Mansour Nader A. , El‐Assal Ahmed , Magdy Mahmoud 
Published: February 2025

ABSTRACTBackgroundNeurosurgery demands high precision, and robotic‐assisted systems are increasingly employed to enhance surgical outcomes. This study focuses on a hybrid robotic‐assisted system for neurosurgery, addressing forward and inverse kinematics, Jacobian matrices, and system singularities.MethodsThe system is simulated using MATLAB/Simscape Multibody to achieve accurate kinematic and dynamic representations. An inverse kinematics framework was developed for generating and validating a circular trajectory at the end‐effector tip. Two control strategies are compared: traditional active joint PID control and combined trajectory feedback plus feedforward control.ResultsThe combined control strategy significantly improves performance, reducing the maximum absolute error of each output by an average of 46.5% and the mean square error by 50.31% under optimal conditions.ConclusionThe findings highlight the potential of trajectory feedback and feedforward control to enhance the precision and reliability of robotic‐assisted neurosurgical procedures.
From Concrete to Nature: Navigating Paradigm Shifts in River Management Through a Sustainability Lens
Authors: Lee Chia‐Chi , Hsueh Hsin‐Yi , Ku Ya‐Wen , Kuo Shih‐Yun , Huang Kuo‐Ching , Tung Ching‐Pin , Lo Wei‐Cheng , Lu Jing‐Chein , Cheng Yung‐Chen , Chiang Yi‐Chang , Yeh Chao‐Pin , Tseng Wen‐Hsiao , Hung Yan‐Liang , Lee Wen‐Sen 
Published: February 2025

ABSTRACT“Sustainable river management” (SRM) and “paradigm shifts in river management” (PSRM) are frequently employed in the field of river management, widely recognized by both researchers and policymakers. However, past studies often present these concepts as implicitly understood, typically addressing one in isolation without exploring the interrelationship between the two or their combined potential as a comprehensive analytical tool for practical river management. This paper aims to elucidate the connection between SRM and PSRM, proposing an integrated framework to enhance the analysis of river management practices. Using Taiwan's Keelung River as a case study, the findings reveal that the river's management history can be divided into four paradigms: “structural emergency measures,” “dominant structural measures,” “integrated water management,” and ultimately, SRM. Each paradigm reflects the negotiations, compromises, and coordination efforts of stakeholders at that time, with enduring influence on the Keelung River today. While historically effective, the long‐standing preference for flood control through levee construction now struggles to address the challenges posed by short‐duration extreme rainfall and emerging environmental and ecological management needs, testing the adaptive capacities of both central and local governments.
Root and Leaf Traits of Alfalfa Exhibit Distinct Responses to Soil Microbial Communities and Environmental Stresses
Authors: Saraswat Anuj , Tian Jing , Hraiz Fatima M. S. J. , Al Harasi Laila Z. D. , Al Mayahi Maitha H. , Alyahyaee Mariam K. H. , Gururani Mayank A. , Liu Yuan , Kumar Amit 
Published: February 2025

ABSTRACTOngoing climate change is negatively impacting crop productivity globally. Past research has highlighted that a diverse soil microbial community and variation in plant traits for resource acquisition can mitigate the negative impacts of climate change factors on crop productivity. This study investigates the effects of two major environmental stressors—drought and salinity stress, on plant productivity, biomass allocation, and root and leaf trait responses under distinct soil microbial diversities. Our results showed that salinity stress had stronger negative impacts on plant productivity than drought stress. Shoot biomass decreased by 30% and 32.5% under drought and salinity stress, respectively, whereas the root biomass decreased by 32% only under salinity stress. Soil microbial diversity did not affect plant productivity. Next, root traits were mainly impacted by drought and salinity stress, whereas leaf traits were impacted by both environmental stresses and soil microbial diversity. Specific root length and specific root area decreased under drought, and root tissue density was minimal under salinity stress. Root traits were not affected by soil microbial communities. In contrast, the leaf nitrogen content increased, whereas pheophytin content (a breakdown product of chlorophyll) decreased when plants were grown in diverse microbial communities under environmental stresses, especially drought. These results highlight the importance of soil microbial diversity in impacting plant traits in response to environmental stresses. We showed that the soil microbial diversity influences both aboveground and belowground plant traits, indicating the need for better management practices to conserve and promote soil microbial diversity.
Effect of Coping Strategies on Perceived Stress and Hair Cortisol Levels During the COVID‐19 Pandemic According to Sex
Authors: Arcand Maryse , Zerroug Yasmine , Peyrot Clémence , Cernik Rebecca , Herba Catherine M. , Marin Marie‐France 
Published: February 2025

ABSTRACTThe COVID‐19 crisis generated subjective and physiological stress, with important interindividual differences. Studies have shown that coping strategies and sex modulate subjective stress, although their effects on stress hormones have been overlooked. In addition, it remains unknown whether sex and coping interact to predict these stress metrics during long‐term stressful events. To examine the impact of coping strategies, sex, and their interaction on subjective and physiological indicators of stress during the year following the arrival of the COVID‐19 virus. Coping strategies were assessed using the Brief COPE questionnaire in May 2020. Stress symptoms were assessed as a subjective indicator of stress every 3 months (June 2020 to March 2021) with the Perceived Stress Scale questionnaire in 155 participants (49 men). Of these individuals, 111 provided a 6‐cm hair sample in June 2020 to estimate cortisol levels as a physiological indicator of stress before and during the first lockdown. A factor analysis identified three clusters of coping strategies: positive‐oriented, avoidance‐oriented, and social support. For subjective stress, a linear‐mixed model showed that women reported more stress than men. Positive‐oriented and avoidance‐oriented strategies were associated with less and more stress, respectively. An interaction between sex and coping strategies indicated a positive relationship between social support and perceived stress levels in men. However, among men and women who used this strategy infrequently, women reported higher stress levels than men. For physiological stress, a regression revealed that women had greater cortisol secretion in response to the pandemic. These findings suggest that coping and sex modulate subjective stress, whereas sex influences physiological stress.
How shareholder litigation risk influences firm orientation toward stakeholders
Authors: Park Eunyoung , Lange Donald , Jeon Chunhu 
Published: February 2025

AbstractResearch SummaryThis study examines whether U.S. corporate executives would adopt a stronger stakeholder orientation if constraints imposed by shareholder litigation risk were relaxed. Leveraging the staggered adoption of Universal Demand (UD) laws across states as a quasi‐experimental setting, we test whether reduced litigation risk leads to managers prioritizing broader stakeholder initiatives. We find that firms increase stakeholder‐focused efforts following UD law adoption, with this shift more pronounced in firms with weaker shareholder governance provisions and lower levels of outside director ownership. Our study advances corporate governance and stakeholder theory by demonstrating how shareholder litigation risk acts as a governance mechanism that shapes managerial priorities. Additionally, we identify key boundary conditions moderating the relationship between governance constraints and stakeholder engagement.Managerial SummaryWhat happens when corporate executives feel less constrained by the risk of shareholder litigation? This study examines how reducing litigation risk leads to managers shifting their focus toward initiatives that benefit broader stakeholder groups, including employees, communities, and the environment. Using state‐level legal changes as a natural experiment, we find that firms adopt a more stakeholder‐oriented approach when shareholder litigation risk decreases—particularly in firms with weaker governance mechanisms tied to shareholder oversight. These findings highlight the critical role of legal frameworks and governance structures in shaping how executives balance shareholder and stakeholder priorities. For practitioners, this underscores the function of governance systems in influencing a firm's stakeholder strategy.
Navigating market entry decisions in the solar PV industry: The role of founders' pre‐entry experience across the value chain
Authors: Guerra Mara , Clarysse Bart , Wadhwa Anu 
Published: February 2025

AbstractResearch SummaryIn emerging industries characterized by several technological generations giving rise to multiple submarkets that emerge at different points in time, start‐ups entering with novel technologies encounter markets at varying development stages and are confronted with the choice to enter either a nascent or an established market. We study the solar photovoltaic industry between 1985 and 2017 to examine how founders' pre‐entry experience along the industry value chain helps them navigate this complex decision. We find that founders with upstream industry experience possess operational acumen and manufacturing knowledge, prompting them to favor established markets. Conversely, founders with focal industry experience, guided by their unique insights into new applications and the limitations of existing technologies in fulfilling emerging customer needs, are more inclined to enter nascent markets.Managerial SummaryNew technologies often enable fulfillment of new user needs. In emerging industries witnessing successive waves of technologies, new markets materialize at different point in times. When firms enter these industries with fungible technologies, they can target markets in the early phases of formation or markets that are more mature and well developed. Evidence from the solar PV industry shows that the experience that entrepreneurs gained before founding their start‐up in this industry influences the choice of market: founders with prior experience developing solar technologies enter markets addressing new and undefined user needs while founders with prior experience in upstream industries that supply components to the solar industry gravitate toward mature markets, which place greater value on value efficiency enhancements.
Harnessing a Self‐Regenerated Hybridization Circuit for Differentiating Heart Failure Patients of Varied Severity
Authors: Liu Qinglian , Wu Jianglin , Zhang Jiajia , Wang Fuan , Jiang Zhongwei , Wang Yi , Gong Xue , Zhang Pu 
Published: February 2025

AbstractHeart failure (HF) is a globally threatening cardiovascular disease associated with poor quality of life and high mortality, therefore, timely diagnosis and risk prediction for HF disease are urgently needed. Herein, a compact yet robust self‐regenerated hybridization circuit (SHC) aptasensor is developed for the amplified detection of N‐terminal pro‐brain natriuretic peptide (NT‐proBNP), a “gold standard biomarker” for HF. The aptamer transduction module can specifically recognize NT‐proBNP, thus initiating the cascade hybridization reaction with the successively self‐regenerated triggers that reversely initiate the cross‐hybridization reaction. Benefiting from the aptamer‐specific recognition and the self‐replicated signal amplification, the robust SHC aptasensor demonstrated a more impressive diagnostic performance for HF in elderly patients than the clinical fluorescence immunochromatography assay (FICA) in terms of positive predictive value (21 vs 17), specificity (39 vs 32), and diagnostic accuracy (37 vs 36). Furthermore, this approach allows for differentiation among HF patients with varying disease severities, achieving a sufficiently high accuracy of 78.3%, thus facilitating more timely and accurate therapeutic intervention. The versatile and reliable SHC system offers a new approach to analyzing low‐abundance biomarkers from clinical rare specimens, which is highly important for early disease diagnosis and prognosis assessment.