bluuebunny/crossref_metadata_2025_split huggingface dataset:
Entropy‐based method considering nonlinear hardening effect to predict the crack propagation life of superalloy GH4169 at elevated temperature
Authors: Ding Shuiting , Zuo Liangliang , Li Guo , Li Zhenlei , Zhou Huimin , Bao Shaochen , Xia Shuyang 
Published: August 2024

AbstractThis paper aims to determine the relationship between thermodynamic entropy generation and fatigue crack propagation life of superalloy GH4169 at 300–650°C. The entire specimen was considered as the thermodynamic system. The plastic energy dissipation in the crack tip was obtained by finite element simulation utilizing the Chaboche nonlinear hardening model. Then the cyclic entropy generation rate (CEGR) and the accumulated entropy generation are calculated by combining simulation and experimental methods. Results show that the CEGR is a power function of the stress intensity factor range, and it is almost a constant at fatigue failure. The fatigue fracture entropy (FFE) increases as fatigue cycles at failure increase at constant temperature, but it first decreases and then increases when temperature increases from 300 to 650°C. A fatigue life prediction model based on the thermodynamic damage parameter is established and verified by comparison with experimental results and available data in the literature.
Variability in thermal tolerance of clutches from different mothers indicates adaptation potential to climate warming in sea turtles
Authors: Kynoch Camille , Paladino Frank V. , Spotila James R. , Santidrián Tomillo Pilar 
Published: August 2024

AbstractThe current climate warming is a challenge to biodiversity that could surpass the adaptation capacity of some species. Hence, understanding the means by which populations undergo an increase in their thermal tolerance is critical to assess how they could adapt to climate warming. Specifically, sea turtle populations could respond to increasing temperatures by (1) colonizing new nesting areas, (2) nesting during cooler times of the year, and/or (3) by increasing their thermal tolerance. Differences in thermal tolerance of clutches laid by different females would indicate that populations have the potential to adapt by natural selection. Here, we used exhaustive information on nest temperatures and hatching success of leatherback turtle (Dermochelys coriacea) clutches over 14 years to assess the occurrence of individual variability in thermal tolerance among females. We found an effect of temperature, year, and the interaction between female identity and nest temperature on hatching success, indicating that clutches laid by different females exhibited different levels of vulnerability to high temperatures. If thermal tolerance is a heritable trait, individuals with higher thermal tolerances could have greater chances of passing their genes to following generations, increasing their frequency in the population. However, the high rate of failure of clutches at temperatures above 32°C suggests that leatherback turtles are already experiencing extreme heat stress. A proper understanding of mechanisms of adaptation in populations to counteract changes in climate could greatly contribute to future conservation of endangered populations in a rapidly changing world.
The relationship between serum uric acid level and carotid intima‐media thickness in hemodialysis patients
Authors: Kara Ali Veysel , Inan Hamza , Durmaz Onder , Ozdemir Ridvan 
Published: August 2024

AbstractIntroductionWe aimed to evaluate the relationship between carotid intima‐media thickness (CIMT), which is a known indicator of cardiovascular risk and atherosclerosis, and uric acid level, which may be an easy marker for cardiovascular diseases due to its antioxidant and pro‐oxidant properties in hemodialysis patients.MethodsIn this cross‐sectional study, we evaluated 77 hemodialysis patients. The mean CIMT of these patients was measured and recorded by Doppler ultrasonography. Patients were divided into two groups according to their serum uric acid levels. Correlation analysis and linear regression analysis were used to define the relationship between study parameters.FindingsThe mean CIMT levels in the normouricemic group and the hyperuricemic group were 0.95 ± 0.15 and 1.07 ± 0.15, respectively. There was a statistically significant difference between the two groups (p = 0.001). There was a statistically significant and moderate linear correlation between serum uric acid level and mean CIMT (r = 0.402; p = 0.002). Univariate and multivariate linear regression analyses were performed to identify variables that could independently affect the mean CIMT value. According to analysis, uric acid (p < 0.001), hypertension (p = 0.008), albumin (p = 0.029), and C‐reactive protein (p = 0.042) were found independent risk factors for mean CIMT value.DiscussionWe found a significant relationship between serum uric acid level and CIMT, which indicates carotid atherosclerosis. Serum uric acid level is a low‐cost laboratory parameter that can be measured in almost all laboratories, and it may be valuable in the hemodialysis patient group to identify patients at high risk of carotid atherosclerosis.
The role of red pepper on the colour and bioactive properties, polyphenols, minerals and sensory evaluation of the wheat breads enriched with red pepper powder at different concentrations
Authors: Younis Mahmoud , Ahmed Isam Ali Mohamed , Karrar Emad , Özcan Mehmet Musa 
Published: August 2024

SummaryIn current investigation, the effect of the breads enriched with red pepper powder at different concentrations (0.5%, 1.0%, 1.5% and 2.0%) on colour parameters, antioxidant activity, total phenolics, flavonoids, phenolic components, minerals and sensory properties was revealed. While the brightness results of the breads L* decreased, there was a significant increase in the a* and b* values. As the concentration of the pepper powder added to bread dough increased, a significant increase was observed in bioactive compounds such as total phenol, antioxidant activity and flavonoids in the bread. It was determined that bread enriched with 1% red pepper powder received the highest sensory scores compared to other breads. The phenolic compound amounts of the breads showed some changes based on the pepper concentrations. Protein amounts of the wheat bread fortified with red pepper powder were specified to be between 9.32 (0.5%) and 9.79% (control). Phosphorus (P) and potassium (K) quantities of the breads were assessed to be between 745.27 mg kg−1 (0.5%) and 846.69 mg kg−1 (2.0%) to 2266.63 mg kg−1 (control) and 2907.38 mg kg−1 (2.0%), respectively. The flavour, smell, colour and texture values of the pepper bread samples varied depending on the added pepper concentration. As a result, the most liked formulation by the consumers was the pepper bread with 1.0% added, followed by 1.5%, 2.0%, 0.5% in decreasing order.
Order prescriptions online: Determinants of purchase satisfaction in an emerging Indian e‐pharmacy sector
Authors: Bhatt Sudhanshu , Cheah Jun‐Hwa , Singh Rajita , Desai Anjali , Das Dikhita 
Published: August 2024

AbstractThe burgeoning Indian e‐pharmacy sector, spurred by digital commerce growth and affordable Internet access, presents a promising solution to distribution challenges, especially during the pandemic. Despite doubling online sales within a few months of lockdown and significant investments, understanding consumer behaviour in this novel domain remains crucial. This research addresses this gap by employing the stimuli–organism–response (SOR) model to conceptualize and empirically validate the determinants of customer purchase satisfaction in e‐pharmacies. In the e‐pharmacy context, stimuli encompass online cues like the perception of honesty (PH), convenience value (CV), perceived risk and quality perception. The organismic state embodies the user's propensity to purchase medications online (PPMS), whereas the response represents their customer purchase satisfaction (CPS). Employing partial least squares structural equation modelling on data from 220 consumers, this study reveals significant relationships between stimuli and PPMS and CPS. Furthermore, subjective norm moderates the influence of PH and CV on PPMS, highlighting the importance of social influence in online pharmacy decisions. These findings enrich the understanding of consumer behaviour in e‐pharmacies and demonstrate the utility of the SOR model in this context. This research contributes to both theory and practice. Theoretically, it pioneers applying the SOR model to e‐pharmacies, uncovering the interplay between environmental cues, internal states, and purchase satisfaction. Practically, the study offers valuable insights for e‐pharmacy platforms to enhance user experience and promote customer satisfaction.
A multi‐objective sustainable closed‐loop supply chain network problem with hybrid facilities
Authors: Rodríguez‐Escoto Joel‐Novi , Olivares‐Benitez Elias , Nucamendi‐Guillén Samuel , Drzymalski Julie 
Published: August 2024

AbstractA sustainable closed‐loop supply chain network requires conjunctive implementation of reverse logistics in the supply chain, with decisions that consider economic, environmental, and social factors. In real life, the problem needs to be addressed by prioritizing targets or interacting between them to give a range of solutions to the decision maker. In this context, this work proposes a novel multi‐objective sustainable closed‐loop supply chain network problem based on the revised network design model with hybrid recovery centers minimizing (1) the total economic cost, (2) the CO2 emission of vehicles used, and (3) the total obnoxious distance. The latter objective is a novel implementation of the social dimension of a sustainable model. A sensitivity analysis of the multi‐objective model is developed through ANOVA. A dataset of instances was generated to test the model and the solution methods, which are configured with AUGMECON2, a linear programming relaxation implemented to improve the CPU time, and AUGMECON2‐EXTENDED to obtain more solutions to avoid exploring all space of the solution. The results show that an AUGMECON2‐EXTENDED implementation outperforms all the selected performance metrics. These performance metrics include NPS, CPU time, RPOS, QM, and HV. The results show an improvement on average of at least , , , , and , respectively, in those metrics, in comparison to other implementations.
Unlocking university efficiency: a Bayesian stochastic frontier analysis
Authors: García‐Tórtola Zaira , Conesa David , Crespo Joan , Tortosa‐Ausina Emili 
Published: August 2024

AbstractIn this paper, we analyze the performance of the Spanish public university system over the 2010–2019 period, which was particularly turbulent due to the tight budget constraints imposed on universities. To disentangle the main sources of performance change, we adopt a dynamic approach by decomposing it into efficiency change (catching up) and technical change (shifts in the frontier). In contrast to many studies on higher education institutions (HEIs), we opt for stochastic frontier analysis, employing the ray production function proposed by Löthgren (1997) to account for the multiple‐output nature of HEIs. Additionally, to offer a more detailed examination of uncertainty quantification, we conduct inference within the Bayesian paradigm. Broadly, results point to an overall positive performance change over the entire period, particularly for technical change during 2010–2014. However, there were notable discrepancies across universities, which could be unlocked with certain precision via the posterior distributions of performance and its components.
Best practices in wound care for gastrointestinal stoma and colorectal cancer patients from a nursing perspective: A meta‐analysis
Authors: Xu Jing , Gan Tianyu 
Published: August 2024

AbstractColorectal cancer, a type of colon or bowel cancer, poses a major challenge in the treatment of colorectal lesions. Colorectal endoscopic mucosal resection (EMR) is a minimally invasive technique, but the risk of wound infections remains a significant concern. These infections can impede the healing process, affecting daily activities and patient satisfaction. To mitigate the risk of wound infections, various prophylactic measures have been explored, including medication, vaccines, lifestyle adjustments and hygiene practices. This study aims to investigate the prevention of wound infections through prophylactic measures in colorectal EMR. A comprehensive literature review was conducted to identify prophylactic measures that can prevent wound infections. A systematic literature search was conducted using both free words and search terms. The data extraction was performed after a comprehensive literature screening. The meta‐analysis was performed using the metabin function of the meta library in R to evaluate the infection incidences in intervention and control groups. A total of 599 infection incidences were considered, with 267 in intervention and 332 in the control group. The results of meta analysis demonstrated significant reduction of wound incidences following the prophylactic measures (risk ratio [RR] = 0.77, 95% confidence interval [CI]: 0.6747; 0.9016, I2 = 78.5%, p < 0.01). The wound infection ratio analysis also exhibited an approximate 6.6% less infection rate in the intervention group, demonstrating significantly less wound infection following the implementation of prophylactic measures. This study highlights the crucial significance of prevention of wound infections by prophylactic measures in colorectal EMR.
Assessing health‐related quality of life using the Wound‐QoL‐17 and the Wound‐QoL‐14—Results of the cross‐sectional European HAQOL study using item response theory
Authors: Janke Toni Maria , Kozon Vlastimil , Valiukeviciene Skaidra , Rackauskaite Laura , Reich Adam , Stępień Katarzyna , Chernyshov Pavel , Jankechova Monika , van Montfrans Catherine , Amesz Stella , Barysch Marjam , Conde Montero Elena , Augustin Matthias , Blome Christine , Braren‐von Stülpnagel Catharina C. 
Published: August 2024

AbstractFor assessing health‐related quality of life in patients with chronic wounds, the Wound‐QoL questionnaire has been developed. Two different versions exist: the Wound‐QoL‐17 and the Wound‐QoL‐14. For international and cross‐cultural comparisons, it is necessary to demonstrate psychometric properties in an international study. Therefore, the aim of this study was to test both questionnaires in a European sample, using item response theory (IRT). Participants were recruited in eight European countries. Item characteristic curves (ICC), item information curves (IIC) and differential item functioning (DIF) were calculated. In both questionnaires, ICCs for most items were well‐ordered and sufficiently distinct. For items, in which adjacent response categories were not sufficiently distinct, response options were merged. IICs showed that items on sleep and on pain, on worries as well as on day‐to‐day and leisure activities had considerably high informational value. In the Wound‐QoL‐14, the item on social activities showed DIFs regarding the country and age. The same applied for the Wound‐QoL‐17, in which also the item on stairs showed DIFs regarding age. Our study showed comparable results across both versions of the Wound‐QoL. We established a new scoring method, which could be applied in international research projects. For clinical practice, the original scoring can be maintained.
Maize Responses to High Night Temperature During Postflowering and Early Grain Filling: Effects on Yield Components, Kernel Growth and Dry Matter Allocation
Authors: Kettler Belén Araceli , Carrera Constanza Soledad , Nalli Sonzogni Federico David , Andrade Fernando Héctor , Neiff Nicolás 
Published: August 2024

ABSTRACTWarm night frequency has increased steadily in the last years across maize production regions, but high night temperature (HNT) effects on growth, grain yield and maize dry matter allocation (DMA) to different plant organs remain poorly understood. In this study, we aimed to (i) analyse the DMA among reproductive and vegetative organs, (ii) evaluate the individual kernel weight through its determinants, rate and duration of grain filling and (iii) quantify changes in grain yield per plant and its components due to HNT during the postflowering and early grain‐filling period. Field‐grown maize was subjected to HNT induced by shelters during a 15‐ or 30‐day period after silking, encompassing the postflowering period (HNT15) and extending the heating into early grain filling (HNT30), respectively. The HNT was applied from 1900 to 0700 h while control plots remained at ambient night temperature (ANT). Kernel number per plant was decreased under both temperature regimes (i.e., HNT15 and HNT30); however, significant reductions in grain yield were only observed under HNT30. The DMA during the heating period was differentially affected by the duration of heating. While DMA to the stem was likewise reduced by both heating treatments, the partition to the uppermost ear was only reduced under HNT30. Related to the lack of response to HNT treatments of the rate and duration of grain filling, the individual kernel weight was not reduced. The source‐sink ratio was not affected by HNT, meanwhile, the apparent reserve use was significantly reduced under HNT30. Our results demonstrate that the magnitude of HNT effects is subjected to the duration of the heating period, but also depends on the intensity of heating explored across seasons, especially for kernel number and grain yield.
Effect of MnO2 on crystallization behavior and specific capacity of phosphate glass anode
Authors: Tang Liangpeng , Shang Chen , Li Xinglong , Feng Siguang , Xu Shiqing , Zhang Junjie 
Published: August 2024

AbstractIn recent years, glass anodes have been widely studied. However, self‐crystallization often occurs during glass preparation, which leads to a reduction in the cycle stability of the glass anode. In this work, SnO–P2O5–MnO2 glass anode materials were prepared using the melt‐quenching method. By increasing the concentration of MnO2, the specific capacity (after 800 cycles) of the glass anode was increased by 62%, from 234.9 to 381.3 mAh g−1. The result indicates that the introduction of MnO2 makes the glass structure more compact and suppresses the glass's ability of self‐crystallization, which is beneficial for the long‐cycle performance of lithium‐ion batteries. In addition, with the introduction of MnO2 in glass, manganese–tin synergistic discharge disperses the internal stress during the alloying process, which further enhances the cycling stability of the glass anode. This research is to propose a new reference for improving the cycle life and specific capacity of glass anode materials.
Huanglian Jiedu decoction alleviates ischemia‐induced cerebral injury in rats by mitigating NET formation and activiting GABAergic synapses
Authors: Cui Youxiang , Cui Mingyue , Wang Leilei , Wang Ning , Chen Yao , Lv Shuquan , Zhang Limin , Chen Congai , Yang Yanwen , Wang Feng , Wang Lichun , Cui Huantian 
Published: August 2024

AbstractHuanglian Jiedu decoction (HLJD) has been used to treat ischemic stroke in clinic. However, the detailed protective mechanisms of HLJD on ischemic stroke have yet to be elucidated. The aim of this study is to elucidate the underlying pharmacological mechanisms of HLJD based on the inhibition of neuroinflammation and the amelioration of nerve cell damage. A middle cerebral artery occlusion reperfusion (MCAO/R) model was established in rats and received HLJD treatment. Effects of HLJD on neurological function was assessed based on Bederson's score, postural reflex test and asymmetry score. 2, 3, 5‐Triphenyltetrazolium chloride (TTC) staining, Hematein and eosin (HE) and Nissl staining were used to observe the pathological changes in brain. Then, transcriptomics was used to screen the differential genes in brain tissue in MCAO/R model rats following HLJD intervention. Subsequently, the effects of HLJD on neutrophil extracellular trap (NET) formation‐related neuroinflammation, gamma‐aminobutyric acid (GABA)ergic synapse activation, nerve cell damage and proliferation were validated using immunofluorescence, western blot and enzyme‐linked immunosorbent assay (ELISA). Our results showed that HLJD intervention reduced the Bederson's score, postural reflex test score and asymmetry score in MCAO/R model rats. Pathological staining indicated that HLJD treatment decreased the cerebral infarction area, mitigated neuronal damage and increased the numbers of Nissl bodies. Transcriptomics suggested that HLJD affected 435 genes in MCAO/R rats. Among them, several genes involving in NET formation and GABAergic synapses pathways were dysregulated. Subsequent experimental validation showed that HLJD reduced the MPO+CitH3+ positive expression area, reduced the protein expression of PAD4, p‐P38/P38, p‐ERK/ERK and decreased the levels of IL‐1β, IL‐6 and TNF‐α, reversed the increase of Iba1+TLR4+, Iba1+p65+ and Iba1+NLRP3+ positive expression area in brain. Moreover, HLJD increased GABA levels, elevated the protein expression of GABRG1 and GAT3, decreased the TUNEL positive expression area and increased the Ki67 positive expression area in brain. HLJD intervention exerts a multifaceted positive impact on ischemia‐induced cerebral injury in MCAO/R rats. This intervention effectively inhibits neuroinflammation by mitigating NET formation, and concurrently improves nerve cell damage and fosters nerve cell proliferation through activating GABAergic synapses.
Integrating single‐cell transcriptomics and machine learning to predict breast cancer prognosis: A study based on natural killer cell‐related genes
Authors: Mao Juanjuan , Liu Ling‐lin , Shen Qian , Cen Mengyan 
Published: August 2024

AbstractBreast cancer (BC) is the most commonly diagnosed cancer in women globally. Natural killer (NK) cells play a vital role in tumour immunosurveillance. This study aimed to establish a prognostic model using NK cell‐related genes (NKRGs) by integrating single‐cell transcriptomic data with machine learning. We identified 44 significantly expressed NKRGs involved in cytokine and T cell‐related functions. Using 101 machine learning algorithms, the Lasso + RSF model showed the highest predictive accuracy with nine key NKRGs. We explored cell‐to‐cell communication using CellChat, assessed immune‐related pathways and tumour microenvironment with gene set variation analysis and ssGSEA, and observed immune components by HE staining. Additionally, drug activity predictions identified potential therapies, and gene expression validation through immunohistochemistry and RNA‐seq confirmed the clinical applicability of NKRGs. The nomogram showed high concordance between predicted and actual survival, linking higher tumour purity and risk scores to a reduced immune score. This NKRG‐based model offers a novel approach for risk assessment and personalized treatment in BC, enhancing the potential of precision medicine.