bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficiency Analysis of International Research Collaboration: A DEA Approach on Indonesian University Research Partner Countries
Authors: Hermanu Adhi Indra , Sundari Tri , Radjasa Ocky Karna 
Published: January 2025

ABSTRACTThis research was carried out to analyse the efficiency on University International Research Collaboration (IRC) and examines disciplines that are popular areas for collaboration. Based on data for the years 2015–2021, an empirical study was conducted to determine how to implement Data Envelopment Analysis (DEA) in 56 research partner countries in Indonesia among selected Universities. A total of two inputs and four different outputs were defined for this assessment. Only three international partners have an efficiency score of 1, except for the fact that only one IRC has a lower efficiency score than Decision Making Units (DMU), that do not have an IRC. The Social sciences, health and medicine, and food and agriculture receive the majority of government funding for the IRCs. The originality of this study lies in from the quantitative methology typically used in efficiency analysis, but its use to evaluate research collaboration, particularly on global levels, adds a unique dimension to the study. In addition, the geographical focus on higher education in Indonesia provides a fresh perspective, as does the thematic investigation related to the identification of popular collaborative disciplines. The importance of efficiency metrics in assessing the effectiveness of research collaborations is emphasised in this discussion. There is need for closer collaboration with academics from these partner countries as evidenced by the limited presence of Indonesian academics in a number of sectors. In addition, the study offers recommendations for maximising resources and promoting more productive methods of collaboration in order to increase the output and significance of research.
Validity and Reliability of the Turkish Version of the Maternal Ambivalence Scale
Authors: Erbil Nülüfer , Boyraz Yanık Hilal Gül 
Published: January 2025

ABSTRACTAimThe aim of this study was to adapt the Maternal Ambivalence Scale (MAS) to Turkish culture and to conduct validity and reliability studies.DesignThe sample of the methodological type consisted of women (n = 302) who applied to the outpatient clinics of a university hospital in the north of Türkiye.MethodsThe data of the study were collected with the Personal Information Form, Depression Anxiety Stress Scale‐21 and MAS. Explanatory and confirmatory factor analysis was used to analyse the data, and Cronbach's alpha coefficient and item‐total correlation were used to analyse internal consistency.ResultsLanguage validity of the scales was ensured by the translation–back‐translation method and content validity according to expert opinions. It was found that MAS consists of three sub‐dimensions as the original structure, factor loadings are above 0.30 and the explained variance is 55.219%. It was found that the fit index values of the scale were x2/SD value 2.74, CFI 0.895, RMSA 0.0761 and SRMR 0.0679 and the model was acceptable. Cronbach's alpha reliability coefficient of MAS was found to be 0.824, and the mean score was 23.04 ± 6.96.ConclusionIt was determined that Turkish MAS is valid and reliable measurement tool.
Heat Stress Response Mechanisms and Resilience Strategies in Wheat
Authors: Khanzada Anab , Yan Keshuang , Hu Wenhao , Malko Maguje , Khan Khalid Ali , Bao Yinguang , Elboughdiri Noureddine , Li Yan 
Published: January 2025

ABSTRACTHeat stress is a significant climatic hazard, intensified by rising global temperatures and frequent heatwaves, hindering wheat production. Heat stress damage wheat maturity resulting in morphophysiological changes, biochemical disturbances and a decline in genetic potential. Understanding the morpho–physio–biochemical responses of wheat to heat stress is essential for identifying tolerance mechanisms and developing effective strategies to protect wheat under changing climatic conditions. Plants have evolved various mechanisms to cope with heat stress, which include alterations in their morphological and growth responses, as well as adjustments in physiological and biochemical pathways, alongside modifications in enzymatic activities. Recent advancements in conventional, molecular breeding and transgenic methods have facilitated the development of heat‐tolerant wheat cultivars exhibiting adaptive responses to heat stress whilst maintaining quality and productivity. This review illuminated the morpho‐physiological, biochemical and molecular impacts of heat stress, the mechanisms of tolerance and adaptation strategies in wheat. Besides, we aimed to explore the integration of innovative use of heat priming and the application of smoke water treatment for stress mitigation, thus providing the basis for identifying and promoting effective management practices to mitigate the effects of heat stress in wheat.
Self‐Efficacy in Hypertension Management Using e‐Health Technology: A Randomized Controlled Trial in Primary Care
Authors: Hermansson‐Borrebaeck Rasmus , Fors Andreas , Bengtsson Ulrika , Kjellgren Karin , Calling Susanna , Midlöv Patrik 
Published: January 2025

ABSTRACTSelf‐efficacy is tightly intertwined with person‐centered care and correlates with engaging in self‐care behaviors, an important part of hypertension treatment. Evidence indicates that e‐Health‐based self‐management interventions could increase self‐efficacy. The objectives of this study were to investigate whether an intervention with a person‐centered approach supported by e‐Health technology can impact self‐efficacy. Furthermore, to examine the impact of self‐efficacy on hypertension management, and assess if self‐efficacy can indicate which patients might see the greatest improvement on blood pressure from an e‐Health‐based self‐management intervention for hypertension. This multicenter randomized controlled trial included 949 primary healthcare patients with hypertension. After exclusions, data was analyzed for 862 patients. The intervention group used an e‐Health‐based self‐management system for 8 weeks. Self‐efficacy was measured with the general self‐efficacy (GSE) scale at inclusion, 8‐week follow‐up and 1‐year follow‐up. A significant increase in the mean GSE score in the intervention group was identified (p 0.042). No significant association between self‐efficacy and blood pressure control was found. GSE scores did not significantly differ between the patients that had the best effect on blood pressure and those that had none. This study showed a significant increase in self‐efficacy after the intervention. Self‐management‐based e‐Health interventions might have a role in clinical practice to increase self‐efficacy and improve general health. We found no association between self‐efficacy and achieving a blood pressure below 140/90. Furthermore, no support was found to claim that self‐efficacy would be an indicator of which patients might have the greatest effect from a self‐management‐based e‐Health intervention for hypertension.
Resveratrol Upregulates miR‐124‐3p Expression to Target DAPK1, Regulating the NLRP3/Caspase‐1/GSDMD Pathway to Inhibit Pyroptosis and Alleviate Spinal Cord Injury
Authors: Li Daohui , Dai Yongwen , Li Zhengtao , Bi Hangchuan , Li Haotian , Wang Yongquan , Liu Yuan , Tian Xinpeng , Chen Lingqiang 
Published: January 2025

ABSTRACTCurrently, an effective treatment for spinal cord injury (SCI) is not available. Due to the irreversible primary injury associated with SCI, the prevention and treatment of secondary injury are very important. In the secondary injury stage, pyroptosis exacerbates the deterioration of the spinal cord injury, and inhibiting pyroptosis is beneficial for recovery from SCI. The aim of this study was to clarify the role of resveratrol (RES) and the antipyroptotic mechanisms of RES and miR‐124‐3p in SCI to lay a theoretical foundation for the clinical treatment of SCI and provide new therapeutic approaches. Using cell staining and related molecular protein detection techniques to assess DAPK1, the effects of miR‐124‐3p and RES on pyroptosis were investigated, and the effects of RES on injured spinal cord repair in rats were evaluated using tissue staining and related functional recovery experiments. In vitro, DAPK1 interacts with NLRP3, exerting a pyroptotic effect through the NLRP3/Caspase‐1/GSDMD pathway and DAPK1 knockdown inhibits pyroptosis. miR‐124‐3P negatively regulates the level of DAPK1 and reduced cell pyroptosis. RES increased miR‐124‐3p expression and reduces DAPK1 expression, affecting the NLRP3/Caspase‐1/GSDMD pathway and inhibiting pyroptosis. In vivo, RES reduces GSDMD‐N levels in rats with SCI, promotes functional recovery, and thus promotes recovery from SCI. Therefore, we concluded that RES increases the level of miR‐124‐3p, which targets DAPK1, regulates the NLRP3/Caspase‐1/GSDMD pathway, inhibits pyroptosis and alleviates SCI.
NKD2 as a Mediator of IFIX Antioncogene‐Induced Wnt Signalling and Epithelial–Mesenchymal Transition in Human OSCC
Authors: Wang Shan , Fan Haixia , Bai Jie 
Published: January 2025

ABSTRACTThe activation of the human interferon‐inducible protein X (IFIX) isoform is associated with maintaining a stable cytoskeleton and inhibiting epithelial–mesenchymal transition (EMT). However, the mechanisms and pathways underlying IFIX‐mediated oncogenesis are not well understood. In this study, we investigated the effects of IFIX overexpression and knockdown in CAL‐27 and SCC‐25 oral squamous cell carcinoma (OSCC) cells. We observed significant variations in the expression of E‐cadherin, N‐cadherin, vimentin and Snail, as well as changes in wingless/integrated (Wnt) signalling. Our results indicated a strong correlation between IFIX and EMT, as evidenced by quantitative reverse‐transcription PCR and Western blotting, which revealed that Wnt3a and Wnt4 pathway components were regulated in IFIX‐overexpressing or knockdown cells, with naked cuticle 2 (NKD2) showing the strongest positive correlation. Both IFIX overexpression and knockdown modulated NKD2 expression. NKD2 silencing mimicked the phenotypic effects of IFIX knockdown, inhibiting E‐cadherin expression and increasing N‐cadherin, Snail and vimentin expression. Additionally, silencing NKD2 restored the anticarcinogenic phenotype associated with IFIX overexpression, affecting cell proliferation, invasion and migration. These findings provide mechanistic insights into the antioncogenic effects of IFIX in OSCC, involving the inhibition of Wnt signalling through NKD2, which leads to cancer‐inhibiting phenotypic effects, including restricted EMT.
LRP5 Down‐Regulation Exacerbates Inflammation and Alveolar Bone Loss in Periodontitis by Inhibiting PI3K/c‐FOS Signalling
Authors: Jiang Hui , Xi Yue , Jiang Qifeng , Dai Wei , Qin Xiaoru , Zhang Jing , Jiang Zhiwei , Yang Guoli , Chen Qianming 
Published: January 2025

ABSTRACTAimTo investigate the involvement of low‐density lipoprotein receptor‐related protein 5 (LRP5) in inflammation and alveolar bone loss in periodontitis.Materials and MethodsGingival tissues were obtained from 10 periodontitis patients and 10 healthy individuals. Wild‐type (WT) and osteoblast‐specific Lrp5 conditional knock‐out C57BL/6 (LRP5fl/fl;Oc‐Cre) mice were used to establish a ligature‐induced mouse model of periodontitis. Human periodontal ligament stem cells (hPDLSCs) were isolated and used to further verify the mechanism through which LRP5 mediates periodontitis in vitro. Micro‐computed tomography, haematoxylin and eosin staining, immunohistochemistry, quantitative reverse transcription PCR, western blotting, enzyme‐linked immunosorbent assay and RNA sequencing were performed to explore the role of LRP5 in periodontitis and the underlying mechanism.ResultsLRP5 expression was down‐regulated in human/mouse periodontal tissues compared to that in healthy controls. Compared to those in wild‐type mice, the periodontal tissues of LRP5fl/fl;Oc‐Cre mice had increased alveolar bone loss, higher proinflammatory cytokine levels, and lower osteogenesis‐related factor expression. LRP5 expression was down‐regulated in hPDLSCs after lipopolysaccharide treatment in vitro. LRP5 knockdown increased proinflammatory cytokine production and inhibited osteoblastogenesis by inhibiting PI3K/c‐FOS signalling.ConclusionLRP5 down‐regulation exacerbates inflammation and alveolar bone loss in periodontitis by inhibiting PI3K/c‐FOS signalling, suggesting LRP5 as a potential therapeutic target for periodontitis.
Machine Learning in Optimising Nursing Care Delivery Models: An Empirical Analysis of Hospital Wards
Authors: Aslan Manar , Toros Ergin 
Published: January 2025

ABSTRACTObjectiveThis study aims to assess the performance of machine learning (ML) techniques in optimising nurse staffing and evaluating the appropriateness of nursing care delivery models in hospital wards. The primary outcome measures include the adequacy of nurse staffing and the appropriateness of the nursing care delivery system.BackgroundHistorical and current healthcare challenges, such as nurse shortages and increasing patient acuity, necessitate innovative approaches to nursing care delivery. For instance, the COVID‐19 pandemic highlighted the need for flexible and scalable staffing models to manage surges in patient volume and acuity.Materials and MethodsA descriptive study was conducted in 39 inpatient wards across a university hospital and three state hospitals, involving 117 ward‐level observations. Data were collected using the Rush Medicus Patient Classification Scale and analysed using k‐Nearest Neighbour, Support Vector Machine, Random Forest, and Logistic Regression algorithms. Effectiveness was measured by the accuracy of machine learning predictions regarding nurse staffing adequacy, while suitability was determined by the congruence between observed nursing care models and patient needs.Reporting MethodSTROBE checklist.ResultsThe Random Forest algorithm demonstrated the highest accuracy in predicting both nurse staffing adequacy and the appropriateness of nursing care delivery systems. The study found that 68.4% of wards had sufficient nurse staffing and 26.5% of wards used appropriate care delivery models, with functional nursing and total patient care models being the most commonly used.DiscussionThe study highlights functional nursing and total patient care models, emphasising the need to consider nurse qualifications and patient needs in selecting care systems. Machine learning, particularly the Random Forest algorithm, proved effective in aligning staffing with patient requirements.ConclusionMachine learning, particularly the Random Forest algorithm, proves effective in optimising nursing care delivery models, suggesting significant potential for enhancing patient care and nurse satisfaction.ImplicationsThe research underscores machine learning's role in improving nursing care delivery, aligning nurse staffing with patient needs, and advancing healthcare outcomes.ImpactThe findings advocate for integrating machine learning in the planning of nursing care delivery models. This study sets a precedent for using data‐driven approaches to improve nurse staffing and care delivery, potentially enhancing global clinical outcomes and operational efficiencies. The global clinical community can learn from this study the value of employing machine learning techniques to make informed, evidence‐based decisions in healthcare management.Patient or Public ContributionWhile the study lacked direct patient involvement, its goal was to enhance patient care and healthcare efficiency. Future research will aim to incorporate patient and public insights more directly.
Phylogenetic and structural characterization of Kentomonas inusitatus n. sp.: Unique insect trypanosomatid of the Strigomonadinae subfamily naturally lacking bacterial endosymbiont
Authors: Motta Maria Cristina Machado , Camelo Tayná Mourão , Cerdeira Camillo Martins Costa , Gonçalves Camila Silva , Borghesan Tarcilla Corrente , Villalba‐Alemán Evaristo , de Souza Wanderley , Teixeira Marta Maria Geraldes , de Camargo Erney Felicio Plessmann 
Published: January 2025

AbstractAll insect trypanosomatids of the subfamily Strigomonadinae harbor a proteobacterial symbiont in their cytoplasm and unique ultrastructural cell organization. Here, we report an unexpected finding within the Strigomonadinae subfamily: the identification of a new species lacking bacterial symbiont, represented by two isolates obtained from Calliphoridae flies in Brazil and Uganda. This species is hereby designated as Kentomonas inusitatus n. sp. Molecular investigations targeting symbiont DNA, cell proliferation, and ultrastructural analyses agreed with the absence of bacterial symbionts in cultured flagellates. PCR‐screening specifically targeting symbiont DNA corroborated the absence of symbionts in K. inusitatus present in the intestine of the respective host flies. K. inusitatus exhibited forms varying in size and shape. While displaying overall ultrastructural features of the Strigomonadinae, the novel species showed mitochondrial branches juxtaposed to the plasma membrane in locations both without and notable, with subpellicular microtubules. The discovery of the first Strigomonadinae species naturally lacking a symbiont and closely related to K. sorsogonicus, suggests a unique evolutionary history for the genus Kentomonas. Our findings provide novel insights into the complex relationships between trypanosomatids and their symbionts.
Emerging Trends in Food Process Engineering: Integrating Sensing Technologies for Health, Sustainability, and Consumer Preferences
Authors: Alam Mir Waqas , Kumar Jothi Vinoth , Awad Mohammed , Saravanan P. , Al‐Sowayan Noorah Saleh , Rosaiah Pitcheri , Nivetha M. Sherlin 
Published: January 2025

ABSTRACTThe food processing industry, a significant global economic driver, encompasses diverse sectors ranging from agriculture to food service and is currently undergoing transformative changes fueled by engineering innovations, evolving consumer preferences, and regulatory demands. Cutting‐edge advancements in food technology, such as precision agriculture, intelligent packaging, and advanced food processing methods like high‐pressure processing and 3D food printing, are revolutionizing efficiency and sustainability. These innovations are reducing waste, improving food safety, and enhancing traceability throughout the supply chain. Simultaneously, consumer demands for healthier, sustainable, and ethically produced food are reshaping product offerings. Emerging trends include functional foods, clean labels, plant‐based diets, personalized nutrition, and allergen‐free products, all reflecting a focus on health and wellness. Sustainability remains a critical priority, with emphasis on eco‐friendly farming practices, food waste reduction, and biodegradable or recyclable packaging solutions. Digital technologies like IoT, blockchain, artificial intelligence, and robotics are enhancing operational efficiency and transparency. Intelligent food packaging featuring embedded sensors for monitoring freshness and quality is further bolstering consumer confidence and supply chain efficiency. These advancements position the food processing industry to address global challenges, ensuring food security, safety, and sustainability while adapting to dynamic market demands.
Long legs and small joints: The locomotor capabilities of Homo naledi
Authors: Chapman Tara J. , Walker Christopher , Churchill Steven E. , Marchi Damiano , Vereecke Evie E. , DeSilva Jeremy M. , Zipfel Bernhard , Hawks John , Jan Serge Van Sint , Berger Lee R. , Throckmorton Zachary 
Published: January 2025

AbstractThe lower limb of Homo naledi presents a suite of primitive, derived and unique morphological features that pose interesting questions about the nature of bipedal movement in this species. The exceptional representation of all skeletal elements in H. naledi makes it an excellent candidate for biomechanical analysis of gait dynamics using modern kinematic software. However, virtual gait analysis software requires 3D models of the entire lower limb kinematic chain. No single H. naledi individual preserves all lower limb elements, and what material is preserved is fragmentary. As an antecedent to future kinematic analysis, a 3D lower limb skeleton was reconstructed from the most complete fossil bones of different H. naledi individuals. As both juvenile and adult H. naledi were used, we tested if the knee joint remained congruent throughout ontogeny in a sample of great apes (N = 143) and modern humans (N = 70). The reconstruction and subsequent comparative analysis reveal that H. naledi had remarkably small joint sizes for their body size, a hyper‐elongated tibia, and a high crural index (90.2). We consider that the lower limb morphology of H. naledi could have improved locomotor economy, but the exceptionally small joints cast doubt on its capabilities for long distance travel, including endurance running. The unusual mixture of primitive and derived traits in H. naledi remains intriguing and might indicate that this hominin engaged both in bipedal walking and climbing, demonstrating that kinematic diversity in hominins persisted well into the Middle Pleistocene.
The influence of rurality on self‐reported physical therapy utilization among patients with severe chronic back pain in the United States
Authors: McLaughlin Kevin H. 
Published: January 2025

AbstractPurposeTo examine the association of rurality and physical therapy utilization among a nationally representative sample of individuals with severe chronic back pain.MethodsThis study utilized a publicly available dataset from the 2019 National Health Information Survey (Adult Sample). Individuals with severe chronic back pain were identified based on survey items examining respondents’ pain frequency and location. Physical therapy utilization was identified based on survey questions asking about pain management strategies utilized over the previous 3 months. Rurality was classified as large central metro, large fringe metro, medium and small metro, and nonmetropolitan/rural, based on the county of residence. Regression was used to examine the association between rurality and physical therapy utilization, while controlling for relevant covariates. National estimates were calculated using provided weighting variables.ResultsWe identified 2925 individuals (weighted = 20,468,134) meeting the criteria for severe chronic back pain. We observed that individuals with severe chronic back pain living in nonmetropolitan/rural areas had 34% lower odds of (weighted OR: 0.66, 95% CI: 0.47, 0.92) utilizing physical therapy compared to individuals living in large central metropolitan areas. We did not observe significant differences in the odds of utilizing physical therapy among individuals living in large fringe metropolitan areas or medium–small metropolitan areas.ConclusionsIndividuals living in rural parts of the United States have lower odds of using physical therapy for management of their severe chronic back pain. Additional research is needed to examine the factors that contribute to these differences and improve access to care.