bluuebunny/crossref_metadata_2025_split huggingface dataset:
The apelinergic system accelerates skin repair of full-thickness excisional wounds in a diabetic murine model
Authors: Geraldes Pedro , Robillard Stéphanie , Théroux Léa , Lemay Ariane , Ouellet Marike , Lizotte Farah , Boudreault Pierre-Luc 
Published: February 2024

Abstract

Introduction: Chronic wounds are a serious complication of diabetes. Multiple components in the healing process are impaired by diabetes, creating hard-to-heal or non-healing wounds, increasing the risk of infection, enlargement and amputation. Altered angiogenesis is a major contributor of delayed healing process in diabetic wounds. The apenilergic system (APJ/Apelin/ELABELA) is an activator of the angiogenic response in endothelial cells, and apelin treatment has been shown to improve vascular density in animal models of ischemia. This study explored the impact of Pyr-apelin-13 and Pyr-ELABELA-32 on wound healing processes in diabetic mice and on fibroblast function.
Methods: Two full-thickness excisional wounds were created on the mid-back of nondiabetic and diabetic mice. Diabetic mice received topical application of Pyr-apelin-13 or Pyr-ELABELA-32 daily for 14 days, and wounds were individually photographed to measure global wound closure and healing process. In vitro, fibroblasts were exposed to normal (NG) or high glucose (HG) levels and hypoxia. Cell migration and proliferation assays were performed following either Pyr-apelin-13 or Pyr-ELABELA-32 stimulation.
Results: Fourteen days post-injury, global wound closure was improved in diabetic mice receiving Pyr-apelin-13 or Pyr-ELABELA-32 compared to untreated diabetic mice. Wound treatment with Pyr-apelin-13 and Pyr-ELABELA-32 improved re-epithelialization and angiogenesis, reduced inflammation and promoted collagen synthesis in diabetic scar tissue. In cultured fibroblasts, Pyr-apelin-13 and Pyr-ELABELA-32 stimulation induced cell migration and proliferation through Akt and ERK signaling pathways under both NG or HG concentrations and hypoxia exposure.
Conclusion: Our results demonstrated the therapeutic potential of the endogenous ligands of APJ, apelin and ELABELA, for the treatment of diabetic wounds.
Quantifying CMIP6 Data Accuracy: A Comprehensive Analysis Using Multiple Metrics for the Whole India Grid Region to Identify Optimal Climate Models
Authors: Tiwari Suraj 
Published: February 2024

Abstract
The efficacy of the climate model in forecasting temperature measurements iscarefully examined in this work, with a particular emphasis on the impact of biascorrection and model-specific characteristics. The Mean Bias Error (MBE) analysesshow a consistent pattern: for both highest (Tmax) and minimum (Tmin)temperatures, positive MBE values suggest overestimation and negative valuesimply underestimating of recorded temperatures. This shows that MBE valuesand model accuracy are positively correlated, especially when it comes totemperature extreme prediction. Examining the linear relationship fol- lowingthe bias adjustment reveals different effects on correlation strength. A modestpositive connection is maintained by certain models, such as IPSL-CM6ALR,whereas a significant positive association is maintained by others. Nuancedinsights are revealed by skill scores and Root Mean Square Error (RMSE)computations, which show consistent pre-correction skill ratings among models.After rectification, there is a slight improvement in skill ratings. EC-Earth3 andAWI-CM-1-1-MR regularly show the lowest RMSE values, indicating better performance,particularly when it comes to portraying Tmax. This refined studyconcludes by highlighting the complex relationship between bias correction andspecific model properties and the performance of climate models. Both EC-Earth3and AWI-CM-1-1-MR consistently show themselves to be reliable predictors oftemperature extremes.
The Spatial Effect of Low-Carbon Development of Regional Industries Driven by the Digital Economy: Evidence from Chinese Cities
Authors: Zhang Tian , ZHANG TIAN 
Published: February 2024

Abstract

Utilizing data that encompass municipalities and regions within China at the prefectural level and beyond, spanning the period from 2012 to 2021, this study employed the spatial Durbin model to assess the spatial spillover impact of the digital economy in propelling low-carbon advancement within regional physical industries. This investigation elucidates the spatial spillover mechanism that underlies the low-carbon evolution of regional industries catalyzed by the digital economy and offers nuanced insights. The findings delineate the following observations: (1) The digital economy propels the low-carbon progression of indigenous physical industries and stimulates the low-carbon development of proximate regions’ physical industries through discernible spatial spillover effects. (2) The spatial spillover ramifications of the digital economy manifest a substantive correlation with urban attributes, including geographical positioning, population size, and market integration levels. Notably, municipalities situated in the southeast coastal region, those characterized by larger population sizes, and those exhibiting heightened market integration levels show greater spatial spillover effects attributable to the digital economy. (3) The safeguarding of intangible asset equity property, a pivotal institutional underpinning for fostering digital economic development, amplifies the spatial spillover effect of the digital economy in propelling low-carbon development within regional industries. (4) As geographical and spatial distances expand, the spatial spillover effect of the digital economy attenuates, indicating a diminishing influence with increasing spatial separation.
Rutin attenuates the alcohol withdrawal-induced depressive like behaviour in rats
Authors: Mali Prashant , Bandawane Deepti 
Published: February 2024

Abstract

The presence of rutin in Schinus molle elicited antidepressant-like effects by enhancing the availability of serotonin and noradrenaline in the synaptic cleft. Thus, the main objective of the present study was to explore the antidepressant potential of rutin and its probable underlying mechanism(s) in alcohol withdrawal-induced depression-like behavior in rats. Depressive behaviors were induced by subjecting the rats to ethanol-dependent withdrawal syndrome. The rats were administered varying concentrations of alcohol for 21 days, and withdrawal symptoms were investigated. The animals were administered vehicle, fluoxetine, or rutin for 7 days. Animals were observed for depressive-like state via helplessness, which was reflected as an increase in immobility time in the forced swim test and tail suspension test. Various biochemical alterations, including serum corticosterone levels; endogenous antioxidant enzymes superoxide dismutase (SOD), catalase (CAT), and glutathione (GSH); and lipid peroxidation, in terms of malondialdehyde (MDA) formation in the brain, were studied. The experimental findings demonstrated that rutin elicited a significant reduction in immobility time and prevented the decrease in SOD, CAT, and GSH levels in alcohol withdrawal-induced depressive-like behaviour. Furthermore, to substantiate these findings, our histopathological studies corroborated that rutin ameliorated brain alterations due to stress mediated by alcohol withdrawal. Thus, rutin attenuated depressive-like behaviour through amelioration of oxidative stress by restoration of SOD, GSH, and CAT levels and attenuation of corticosterone, MDA, and NO levels.
Detecting phytoestrogens and mammalian estrogens in blackcurrants (Ribes nigrum L.)
Authors: Nanashima Naoki , Horie Kayo , Maeda Hayato , Kato Yoji 
Published: February 2024

Abstract

Phytoestrogens are estrogen-like molecules found in various plants. Menopausal women experience various menopausal symptoms due to reduced estrogen secretion. The ingestion of phytoestrogens is known to alleviate these symptoms. Blackcurrant (Ribes nigrum L.) is a fruit rich in phytochemicals, including anthocyanins. Blackcurrant extract (BCE) and anthocyanins have phytoestrogenic effects. Although BCE has stronger phytoestrogenic activity than blackcurrant anthocyanins, this aspect has not been explored. BCE likely contains phytoestrogens other than anthocyanins. In this study, the components of blackcurrant fruits were comprehensively investigated through metabolome analysis. In addition to phytoestrogens, such as naringenin, daizein, and resveratrol, mammalian estrogens, such as estrone and β-estradiol, were detected in blackcurrant fruits. An ultrasensitive estrogen measurement analysis revealed that BCE contains approximately 40.2 and 24.5 pg/g of estrone and β-estradiol, respectively, corresponding to approximately 100 times the estrogen content in blackcurrant fruits. We report for the first time that blackcurrant contains phytoestrogens and mammalian estrogens.
Allostatic Load as a Predictor of Postoperative Complications in Patients with Breast Cancer
Authors: Obeng-Gyasi Samilia , Chen JC , Elsaid Mohamed , Handley Demond , Anderson Lisa , Andersen Barbara , Carson William , Beane Joal , Kim Alex , Skoracki Roman , Pawlik Timothy 
Published: February 2024

Abstract

BACKGROUND Allostatic load (AL) is a biological measure of cumulative exposure to socioenvironmental stressors (e.g., poverty). This study aims to examine the association between allostatic load (AL) and postoperative complications (POC) among patients with breast cancer.METHODS Assigned females at birth ages 18 + with stage I-III breast cancer who received surgical management between 01/01/2012-12/31/2020 were identified in the Ohio State Cancer registry. The composite AL measure included biomarkers from the cardiovascular, metabolic, immune, and renal systems. High AL was defined as composite scores greater than the cohort’s median (2.0). POC within 30 days of surgery were examined. Univariable and multivariable regression analysis examined the association between AL and POC.RESULTS Among 4,459 patients, 8.2% had POC. A higher percentage of patients with POC were unpartnered (POC 44.7% vs no POC 35.5%), government-insured (POC 48.2% vs no POC 38.3%) and had multiple comorbidities (POC 32% vs no POC 20%). Patients who developed POC were more likely to have undergone sentinel lymph node biopsy followed by axillary lymph node dissection (POC 51.2% vs no POC 44.6%). High AL was associated with 29% higher odds of POC (aOR 1.29, 95% CI 1.01–1.63). A one-point increase in AL was associated with 8% higher odds of POC (aOR 1.08, 95% CI 1.02–1.16) and a quartile increase in AL was associated with 13% increased odds of POC (aOR 1.13, 95% CI 1.01–1.26).CONCLUSION Among patients undergoing breast cancer surgery, increased exposure to adverse socioenvironmental stressors, operationalized as AL, was associated with higher odds of postoperative complications.
Fmoc-FF hydrogels and nanogels for improved and selective delivery of Dexamethasone in leukemic cells and diagnostic applications
Authors: Gallo Enrico , Diaferia Carlo , Smaldone Giovanni , Rosa Elisabetta , Pecoraro Giovanni , Morelli Giancarlo , Accardo Antonella 
Published: February 2024

Abstract

Dexamethasone (DEX) is a synthetic cortisol used for the treatment of different pathological states, thus comprising cancer, ocular disorders, and COVID-19 infection. Its clinical use is hampered by the low solubility and severe side effects related to its systemic administration. The capability of peptide-based nanosystems, like hydrogels (HGs) and nanogels (NGs), to serve as vehicles for the passive target of active pharmaceutical ingredients and the selective internalization into leukemic cells has been demonstrated. Peptide based HG loaded with DEX were formulated via the “solvent-switch” method, using Fmoc-FF homopeptide as building block. Due to the tight interaction of the drug with the peptidic matrix, a significant rigidification of the gel (G’ = 67.9 kPa) was observed. The corresponding injectable NG, obtained for submicronization of the HG in the presence of two stabilizing agents (TWEEN®60 and SPAN®60, 48/52 mol/mol), were found to be stable at least up to 90 days with a mean diameter of around 105 nm. NG does not exhibit hemolytic effect on human serum and is selectively internalized by RS411 leukemic cells, passively target leukemic cells over healthy PBMCs, paving the way for the generation of new diagnostic strategies targeting onco-hematological diseases.
Modeling the impact of genetically modified humans on the transmission dynamics of COVID-19: Case study of Nigeria
Authors: Idisi Oke Isaiah , Onifade Akindele Akano , Kareem Lateef 
Published: February 2024

Abstract
The emergence of a coronavirus disease (COVID-19) pandemic caused by severe acute respiratorysyndrome coronavirus 2 (SARS-COV 2) has caused an unprecedented global societal andpublic health crisis. A novel variable (genetically resistant humans, which they serve as reservoirhost) that could influence the prevalence of COVID-19 pandemic have been incorporatedand analyzed rigorously. Detection and testing for COVID-19 (in humans that are geneticallyresistant to COVID-19), proper preventive measures, and timely medical care are essential inmanaging and controlling COVID-19 outbreak. First, we analyze the disease-free state of theCOVID-19 model, calculate the baseline control reproduction number, and obtain the localstability of disease-free equilibrium. The model is calibrated using data obtained from NigeriaCentre for Disease Control and key parameters of the model are estimated. Sensitivity analysisis carried out to investigate the influence of the parameters in curtailing the disease. Numericalsimulations are then used to explore the behaviour of the model solutions involving the novelvariable (genetically resistant humans) and control measures. Our results suggest that strictintervention effort (early detection of genetically resistant individuals, testing and isolation ofthe infected individuals) is required for quick suppression of the disease.
Ultra-selective and Stable Ethylene Detection via Exsolution of Catalytic Ni Nanoparticles in Chemiresistive Gas Sensors
Authors: Jeong Youngkyu , Lee Jieon , Kwon Yong Jung , Choi Hyeunseok , Kim Soo Young , Lee Jung-Hoon 
Published: February 2024

Abstract
Ethylene, a gaseous indicator that provides critical information about plant aging, is biologically active in plants, even at trace levels. Therefore, it must be precisely monitored and controlled at sub-ppm levels. However, the accurate detection and clear identification of ethylene has been a major challenge, owing to its low chemical reactivity and severe interference with other gases, including water vapor. In this study, we devised a novel sensor capable of detecting even trace amounts of ethylene using ZnO nanoflowers embedded with exsolved Ni nanocatalysts. It completely removed interferents via catalytic oxidation and exhibited remarkable gas selectivity (approximately 60 and 32 to 1 and 0.2 ppm ethylene, respectively) and an excellent stability against humidity variations. Furthermore, owing to robust metal-support interactions in the nanocatalysts, the sensor exhibited excellent thermal stability and reliable long-term sensing performance at elevated temperatures. This study provides an approach for facilitating the successful commercialization of ethylene detectors.
Integrating Numerical Techniques and Predictive Diagnosis for Precision Enhancement in Roller Cam Rotary Table
Authors: Chan Tzu-Chi , Wu Shao Chi , Ullah Aman , Farooq Umar , Wang I-Hung , Chang Shinn-Laing 
Published: February 2024

Abstract
Currently, various industries are increasingly trending towards multi-axis machining and Industry 4.0. As a result, the demand for machining flexibility, speed, and precision in machine tools is also rising. Different manufacturers provide many components of machine tools, and the alignment precision, main structure, component rigidity, and dynamic performance of these components all impact the machining precision of multi-axis machine tools. Therefore, the structural design of each component is crucial. In this study, a roller cam rotary table is selected for analysis using the Finite Element Method, considering the constraints of the machine environment. The investigation includes Vibration mode shape, gravitational load, External loading, transient, spectral, and topology optimization inspection. The static analysis reveals weak points in the machine's structure. Modal analysis helps understand the natural frequencies that affect the machine's structure, resulting in mitigation of resonance during the machining process and enhancing machining precision. Finally, the modal impact test is conducted using accelerometers and an impact hammer whereas ME'scope curve fitting is employed to determine the mode shapes and natural frequencies. The results are compared to validate the accuracy of the analysis, with a deviation of 8.5%, 8.3%, and 1.4%. Topological optimization analysis is performed on machine components, aiming to reduce weight and improve natural frequencies as compared to the original design. Precision tests such as repeatability and segmentation accuracy are essential for rotary tables. These tests provide information about the errors at different angles, ensuring accuracy, reliability, and quality during the machining process. In this study, vibration signals from the rotary table are captured using a smart predictive diagnosis performance system (PDPS). An algorithm is used to analyze the normal vibration signals and establish a healthy model for continuous monitoring of the rotary table's health status. Principal Component Analysis (PCA) is applied to identify fault features and diagnose mechanical problems. This enables early detection of anomalies in the rotary table, reducing downtime and maintenance costs due to damage and improving the machine's efficiency.
Basic magnesium sulfate@TiO2 composite for efficient adsorption and photocatalytic degradation of 4-dodecylmorpholine in brine
Authors: Song Zhongmei , Zhang Huifang , Ma Liang , Lu Miao , Wu Chengyou , Liu Qingqing , Yu Xuefeng , Liu Haining , Ye Xiushen , Ma Zhen , Wu Zhijian 
Published: February 2024

Abstract

More than 70% of the potash fertilizer globally is produced by the froth flotation process, in which 4-dodecylmorpholine (DMP) serves as a reverse flotation agent. As the potash fertilizer production rapidly rises, the increased DMP levels in discharged brine pose a threat to the production of high-value chemicals. In this paper, composite particles of basic magnesium sulfate@TiO2 (BMS@TiO2) were prepared using a simple and mild loading method. These particles were utilized for the adsorption and photocatalytic degradation of DMP in brine. Compared with normal powdered materials, the granular BMS@TiO2 in this study can be easily separated from liquid, and the degradation intermediates will not enter the brine without causing secondary pollution. BMS@TiO2 consists of 5·1·7 phase (5Mg(OH)2·MgSO4·7H2O) whisker clusters embedding 2.3% TiO2. The adsorption equilibrium of DMP on BMS@TiO2 particles was achieved through electrostatic attraction and pore interception with the adsorption capacity of approximately 5 mg·g-1 after 6 hours. The photodegradation efficiency of DMP adsorbed on BMS@TiO2 reached about 92% within 16 hours, which is compared with that of pure TiO2 nanoparticles. Additionally, excellent stability and recyclability of BMS@TiO2 were also observed in five cycle tests of adsorption and photocatalytic degradation of DMP, and the possible photocatalytic degradation pathways and mechanism of DMP are proposed following molecular electrostatic potential analysis. This work provides a sustainable and environmentally friendly approach for eliminating organic micropollutants from water environments.
Gender sensitivity in nursing practice: Exploring the relationship with childhood experience of domestic violence and perception of sexism
Authors: Yun Sun Jeong , Kim Hye Young 
Published: February 2024

Abstract
Background
Gender sensitivity is the ability to recognize gender discrimination and inequality, starting with awareness of ‘gender difference’ issues. Research on nurses' gender sensitivity is very important because nursing is sensitive to gender differences and provides nursing care based on a holistic understanding of individuals. Therefore, this study will determine the impact of childhood experience of domestic violence and perception of sexism of nurses providing health care on gender sensitivity and provide basic data for disseminating the practical concept of gender equality within nursing organizations.
Methods
A cross-sectional survey was conducted among 146 nurses aged 24 years or older living in Daegu. The general characteristics of nurses, childhood experience of domestic violence, perception of sexism, and gender sensitivity were determined. Data were analyzed using SPSS for t-test, one-way analysis of variance, Pearson's correlation coefficient, and hierarchical regression analysis.
Results
Participants' gender sensitivity was not statistically significantly related to the extent to which they childhood experience of domestic violence, but it was negatively related to their perceptions of sexism (r = − .46, p < .001). Age (β = .13, p < .001) and perception of sexism (β = − .48, p = .002) were identified as factors influencing gender sensitivity. According to the regression model, the explanatory power of the factors influencing gender sensitivity among nurses was 42.7%.
Conclusion
To improve nurses' gender sensitivity, it is necessary to acknowledge cultural differences between generations and adopt a flexible and open approach within nursing organizations. Additionally, there is a need to strengthen the cultural awareness and capabilities of leaders within nursing organizations to increase perception of sexism. Meanwhile, because the standards for understanding the extent of childhood experience of domestic violence vary depending on society and culture, additional research is needed that considers sociodemographic differences.
Determination of direct tensile strength of rocks using a load converter
Authors: Baêsso Ana Carolina Dias , Vargas Eurípedes Amaral , Velloso Raquel Quadros , Marques Eduardo Antonio Gomes 
Published: February 2024

Abstract
The tensile strength of rocks is of great importance in many engineering and geophysical applications. Considered a key parameter in rock mechanics projects, its determination in the laboratory has been discussed for years by many researchers with two approaches: the direct tensile test, considered the ideal and most realistic, has its credibility compromised due to eventual poor execution issues; and, on the other hand, indirect tests, due to its practicality and dissemination around the world. In this context, the present work presents the results obtained with an equipment named compression to tension load converter (CTC), which allows the determination of the tensile strength of rocks in a direct and reliable way. A numerical analysis was carried out to study the stress distribution in the specimen during testing with the apparatus. Uniaxial compression tests, Brazilian and CTC tests were performed in a granitic rock from Southeastern Brazil, in order to compare the results obtained with results available in the literature. This work presents and discusses the results obtained with the CTC apparatus and compared them with results obtained with conventional indirect tensile strength tests.