bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of HMGB1 in posttraumatic epilepsy and cognitive decline among traumatic brain injury patients: A prospective longitudinal study in Kuala Lumpur
Authors: Ngadimon Irma Wati , Mohan Devi , Shaikh Mohd. Farooq , Khoo Ching Soong , Tan Hui Jan , Lee Yu Mey , Chamhuri Nor Syazwani , Fadzil Farizal , Zolkafli Nursyazwana , Arulsamy Alina , Thanabalan Jegan , Aledo-Serrano Angel , Cheong Wing Loong 
Published: February 2024

Abstract

Background Posttraumatic epilepsy (PTE) and cognitive impairment are severe complications following traumatic brain injury (TBI). Neuroinflammation likely contributes, but the role of specific inflammatory mediators requires clarification. High mobility group box 1 (HMGB1) is an inflammatory cytokine released after brain injury that may be involved. This prospective longitudinal study investigated whether serum HMGB1 levels are associated with PTE development and cognitive decline over 12 months post-TBI.Methods Serum samples were collected from 41 TBI patients at baseline, 6, and 12 months following TBI. HMGB1 was quantified by ELISA alongside interleukin-1β (IL-1β) and tumour necrosis factor-α (TNF-α). Cognitive assessment using validated neuropsychological assessments were performed at 6 and 12 months. The occurrence of PTE was also tracked.Results HMGB1 remained elevated at 12 months post-TBI only in the subgroup (n = 6) that developed PTE (p = 0.026). Higher HMGB1 levels at 12 months correlated with a greater decline in Addenbrooke's Cognitive Examination scores (p < 0.05). Reductions in HMGB1 (p < 0.05), IL-1β (p < 0.05) and TNF-α (p < 0.001) levels from 6 to 12 months correlated with improvements in cognitive scores. Multivariate regression analysis confirmed that HMGB1 level changes was independently associated with cognitive trajectory post-TBI (p = 0.003).Conclusions Persistently elevated HMGB1 post-TBI associates specifically with epileptogenesis and exacerbates cognitive dysfunction. HMGB1 links acute neuroinflammatory responses to chronic neurological outcomes. Longitudinal tracking supports HMGB1-directed interventions as a strategy for improving prognosis after TBI. Additional multicenter studies can clarify HMGB1's utility as a prognostic biomarker.
Citation metrics and quality of the top cited systematic reviews in dentistry: a meta-research
Authors: Pereira-Cenci Tatiana , Cenci Jaisson , Franco Marina Christ , Daneris Ândrea Pires , Cenci Maximiliano Sérgio , Montagner Anelise Fernandes 
Published: February 2024

Abstract
Objective: This study evaluated the methodological quality and risk of bias of the most cited systematic reviews in dentistry.
Methods: An electronic search was performed in Scopus database to select the 50 most cited systematic reviews, including any type of study design as primary studies, with outcomes in dental sciences. Two reviewers independently selected the studies and extracted the data items. Reporting of general components was assessed according to the PRISMA Statement. The methodological quality was assessed using the AMSTAR-2 tool checklist. The risk of bias was assessed using the ROBIS tool. The correlation between the citation and the AMSTAR-2 and ROBIS scores was also investigated.
Results: The 50 most cited systematic reviews in dentistry varied from 252 to 980 citations and were published between 2002 and 2015. The adherence to PRISMA items varied, presenting low adherence rates for some items. Most reviews presented critically low (n=43; 86%) methodological quality, while 3 studies showed low quality (6%), 3 presented moderate quality (6%), and only 1 study was of high quality (2%). Risk of bias assessment showed a high risk of bias mainly for domains 1 (n=32, 64%), 2 (n=24 studies, 48%), and 4 (n= 25, 50%). Coefficients between the number of citations with AMSTAR-2 and ROBIS scores showed weak correlation (rho < 0.28).
Conclusions: The most cited systematic reviews in dentistry present critically low methodological quality and a high risk of bias for several domains. Reporting guidelines adherence is also questionable regarding the analysis of the available data.
Clinical Significance: A poor-quality systematic review can provide misleading conclusions that might affect decisions. The readers of systematic reviews should be aware about those possible falls.
Evaluation of Errors and Uncertainties in Debris Flow Modeling with RAMMS
Authors: Majid GALOIE , MOTAMEDI Artemis 
Published: February 2024

Abstract
The Rapid Mass Movement Simulation (RAMMS) which is one of the most commonly used tools for debris flow modeling, especially in Europe, requires input data such as Digital Elevation Model (DEM), the Voellmy-fluid friction coefficients, etc. The main aim of this study is to evaluate the uncertainties in RAMMS outputs using various input data. For this purpose, a real debris flow event was considered whose observed data were available. After the calibration of the model, various input data were used to assess the deviation of the outputs from the corresponding calibrated one. Different scenarios were defined, which included different DEM cell sizes (1, 2, 3, 4, 5, 10, 15, and 20 meters), different values of friction coefficient, different directions of inflow, and active or inactive consideration of terrain curvature. The final results showed that only by increasing the DEM cell size, holding all other parameters constant, the accuracy of the model outputs (e. g. overall inundation area) reduced intensively which was up to 724% for DEM-20 m in comparison to DEM-1 m. Also, the results showed that the impact of the Dry-Coulomb type friction coefficient (µ) was much greater than the viscous-turbulent friction coefficient (ξ) on the results. In addition, although the curvature of the debris flow path in this study was relatively sound, the effect of the terrain curvature activation on the results was not significant. Furthermore, changing in inflow direction to up to ± 50 degrees did not cause a significant change in the overall results.
Trends in Endometrial Cancer Incidence and Mortality by Race/Ethnicity, and Age Among Women Aged ≥20 Years-United States, 2000-2019
Authors: Xu Ran , Chen Jiayi , Niu Chunlan , Li Xiumin , Jiang Shenglin 
Published: February 2024

Abstract
Background: Endometrial cancer is one of the most common tumors in women. Its incidence has increased significantly in the past three decades, while mortality has fallen. Both trends varied by age and race/ethnicity.
Methods: Incidence and mortality rates of endometrial cancer were extracted from the Surveillance, Epidemiology, and End Results (SEER) cancer registry program. Trends were quantified by average annual percent change and annual percentage changes, using the Joinpoint program.
Results: Overall, 217,228 patients with endometrial cancer were included in the incidence analysis and 45,812 deaths were included in the mortality analysis. The overall incidence rate was 32.76 cases per 100,000 person-years and the incidence-based mortality was 20.57 deaths per 100,000 person-years. The overall incidence rate increased by 0.95% annually from 2000 to 2019, while mortality rate increased by 0.29% per year only from 2005 to 2019. Incidence rates increased rapidly from 2000 to 2019 in all racial/ethnic groups, except for non-Hispanic white, which increased 1.2% annually only from 2003 to 2016. The incidence of young and middle-aged women increased rapidly, while the incidence of elderly women decreased significantly (AAPC = -1.28%). Similarly, the mortality rates of endometrial cancer in young and middle-aged women were increasing significantly.
Conclusions: Incidence and mortality of endometrial cancer varied significantly by age group and race/ethnicity. Their trends showed that the incidence and mortality of young and middle-aged women increased rapidly from 2000 to 2019. Although non-Hispanic whites accounted for the overwhelming majority of cases, the trend was relatively stable compared with other ethnic groups. These findings may provide evidence for future exploration of risk factors for endometrial cancer as well as uncovering health disparities among women.
Experimental Investigation to Evaluate Impacts of Surface Asperities on the Shear Behavior of Granular Materials
Authors: Arslan Haydar 
Published: February 2024

Abstract

Impacts of surface characteristics on the behavior of granular materials have been investigated experimentally. Manufactured granular materials produced by pelletization method are used to assess the relation of particle surface characteristics and overall behavior of granular materials. Surface characteristics of four different manufactured granular materials have been investigated using an optical microscope and image analysis techniques. A series of direct shear tests was conducted to investigate the development of particle crushing under shear stress of this manufactured granular material. A Plexiglas shear box was developed to reduce the friction at the boundaries of traditional steel shear box. Shear behavior of these granular materials was analyzed under three different confinement pressures to evaluate impact of stress level. The experimental study shows that asperities of grain surface give higher frictional behavior of the manufactured materials. However, higher confinement causes to crushing of asperities of the grains. Based on the grain size distribution of the sample obtained before and after the test, the abrasion of particle was most influenced by the confinement applied to the sample. The failure surface created by shear loading decreases the roughness of particle because this surface is much smoother than original. The observed evolution from strain hardening to softening with displacement is interpreted as being due to the change in the microstructures of grains. Strain accommodation from grain crushing to slip between adjacent grains is associated with the observed evolution of a fractal grain structure. The failure surface created by shear loading decreases the roughness of particle because this surface is much smoother than original.
Correlation Study of Peripheral Blood miR-155 and miR-146a Expression Levels with Diabetic Peripheral Neuropathy in Patients with Type 2 Diabetes
Authors: 华 季 , lu yating , liu gui , zhao xiaotong , xu murong , Chen Mingwei 
Published: February 2024

Abstract
Objective
To investigate the correlation between microRNA-155 (miR-155) and microRNA-146a (miR-146a) expression in peripheral blood among patients with Diabetic Peripheral Neuropathy (DPN) and assess the clinical significance of miR-155 and miR-146a in diagnosing and predicting treatment outcomes of DPN.
Methods
The study comprised 51 patients with type 2 diabetes mellitus (T2DM) without DPN (T2DM group), 49 patients with T2DM and DPN (DPN group) and 50 normal controls (NC group). Levels of miR-155 and miR-146a in the peripheral blood were determined using quantitative real-time PCR. Additionally, clinical features and risk factors of DPN were examined. Multivariate stepwise logistic regression analysis was conducted to identify factors influencing DPN development. The diagnostic efficacy of miR-155 and mi-R146a levels in DPN was assessed using ROC curve analysis.
Results
The T2DM group exhibited significantly lower expression levels of miR-155 and miR-146a compared to the NC group (P < 0.05). Moreover, the DPN group exhibited a significantly decreased expression level of miR-155 and miR-146a compared to the T2DM group (P < 0.01). Multivariate logistic regression analysis indicated that higher levels of miR-155 and miR-146a might serve as protective factors against DPN development. ROC curve analysis revealed that miR-155 (sensitivity 91.8%, specificity 37.3%, AUC 0.641,) and miR-146a (sensitivity 57.1%, specificity 84.3%, AUC 0.722) possess a strong ability to discriminate between T2DM and DPN. Their combined use further enhanced the diagnostic potential of DPN (sensitivity 83.7%, specificity 60.8%, AUC 0.775). A multi-index combination can improve DPN diagnostic efficiency.
Conclusion
The decreased expression of miR-155 and miR-146a in the peripheral blood of patients with T2DM is closely associated with DPN occurrence, suggesting their potential as valuable biomarkers for the diagnosis and prognosis of DPN.
Examining the Phase Equilibria of Choline Chloride + Tripotassium Phosphate + Water and Exploiting the Liquid- Liquid Zone for Biomolecule Partitioning: Influence of Salt Additives
Authors: Norouzi Elham 
Published: February 2024

Abstract

Initially, the phase diagram for tripotassium phosphate + choline chloride + water was established by delineating binodals encompassing the solid-liquid-liquid triphasic zone, solid-liquid biphasic zone, liquid-liquid biphasic zone, and the liquid monophasic zone. Tie-lines within the liquid-liquid biphasic zone, serving as an aqueous two-phase system (ATPS), were determined through equilibrium concentration measurements of the components. The ATPS was applied for the partitioning of bovine serum albumin (BSA) and L-tryptophan. Results indicated that the current ATPS is unsuitable for BSA partitioning due to its low solubility, whereas it exhibited notable efficacy in L-tryptophan partitioning, achieving a maximum partition coefficient of 150.65. Subsequently, the impact of two salt additives, NaCl and K2CO3, on enhancing L-tryptophan partitioning in the ATPS was explored. Both salts increased the partition coefficient, with K2CO3 demonstrating significantly greater effectiveness.
WITHDRAWN: Numerical investigation of fluid flow simulation through a cylindrical shape orifice flow meter using Ansys-fluent software
Authors: Zema Tesfaye Barza 
Published: February 2024

Abstract
Orifices are typical flow meter used to measure fluid flow in industrial pipe work. The choice of an appropriate standard K-epsilon turbulence model is critical for achieving acceptable flow measurement accuracy in numerical simulations. This work offers a numerical investigation of fluid flow simulation in a cylindrical orifice using Ansys-fluent with turbulence modeling. It is used for continuous and incompressible flows. The computations were performed in three-dimensional axisymmetric flow, and the governing equations of the flow were determined using continuity and Navier-Stokes equations (NSEs). Furthermore, the simulation results in terms of velocity and pressure profiles are determined. Finally, CFx-Post simulations were used to determine the position of the vena contracta. The location and position of the vena contracta reveal that as the area ratio increases, the location of the vena contracta changes towards the orifice.
In vitro and in silico characterization of N-formylated two-peptide bacteriocin from Enterococcus faecalis CAUM157 with anti-listeria activity
Authors: Elnar Arxel G. , Kim Geun-Bae 
Published: February 2024

Abstract

Enterococcus faecalis CAUM157 (KACC 81148BP), a Gram-positive bacteria isolated from raw cow’s milk, was studied for its bacteriocin production. The antimicrobial activity of CAUM157 was attributed to a two-peptide Class IIb bacteriocin with potent activity against food-borne pathogen Listeria monocytogenes and periodontal disease-causing pathogens (Prevotella intermedia KCTC 15693T and Fusobacterium nucleatum KCTC 2488T). M157 bacteriocin exhibits high temperature and pH stability and resist hydrolytic enzyme degradation and detergent denaturation, potentially due to their structural conformation. Based on amino acid sequence, M157A and M157B were predicted to be 5.176 kDa and 5.182 kDa in size, respectively. However, purified bacteriocins and chemically-synthesized N-formylated M157 peptides both showed 5.204 kDa (M157A) and 5.209 kDa (M157B) molecular mass, confirming the formylation of the N-terminal methionine of both peptides produced by strain CAUM157. Further, the strain demonstrated favorable growth and fermentation with minimal bacteriocin production when cultured in whey-based media, whereas a 1.0% tryptone or soytone supplementation resulted in higher bacteriocin production. Although Ent. faecalis CAUM157 innately harbors genes for virulence factors and antimicrobial resistance (e.g., tetracycline and erythromycin), its bacteriocin production is valuable in circumventing the need for live microorganisms, particularly in food applications for pathogen control.
The effects of power posing on neuroendocrine levels and risk-taking
Authors: Efrat Barel , Shahrabani Shosh , Mahagna Lila , Massalha Refaat , Colodner Raul , Tzischinsky Orna 
Published: February 2024

Abstract

Background
The current study attempted to replicate the original findings regarding the effects of power posing on testosterone and cortisol levels as well as on feelings of power and risk-taking. We further extended the investigation by testing the effect of power posing on estrogen and progesterone levels.
Methods
A sample of 92 young adults (30 men; 32 women taking oral contraceptives; and 30 women not taking oral contraceptives who were in their midluteal phase) were randomly assigned to high-power-pose or low-power-pose conditions. They completed a risk-taking task which asked about their feelings of power, and their neuroendocrine levels were measured at baseline and following the power manipulation.
Results
Power posing was not found to replicate the original results regarding effects on testosterone levels or feelings of power; however, our findings supported the original results regarding effects on cortisol levels and risk-taking. Among high-power posers, a decrease in cortisol levels was associated with risk tolerance. Power posing was not found to influence progesterone levels. However, among women taking oral contraceptives, high-power posing increased estrogen levels, while low-power posing decreased estrogen levels.
Conclusions
These preliminary findings suggest that estrogen is influenced by short-term exposure to social cues under specific hormonal profiles.
Construction of a risk prediction model for colorectal cancer prognosis and immunotherapy based on angiogenesis-related gene
Authors: Huang Shaoxiong , Zhu Jianlin , Qiu Xiantu , Ni Limei , Lin Wei 
Published: February 2024

Abstract
Many angiogenesis-related genes (ARGs) regulate angiogenesis, which is closely linked to the immune microenvironment and prognosis of colorectal cancer patients (CRC). The purpose of this study was to develop an ARG-based prognostic model that could effectively predict the prognosis and immunotherapy response of colorectal cancer patients. To investigate the difference in immune cell infiltration abundance between Cluster 1 (high ARGs, C1) and Cluster 2 (low ARGs, C2), CRC data for CRC patients were obtained from the public database. The results showed that C2 had a lower percentage of immune cells, particularly CD4+ T cells, entering its body. Additionally, a model based on C1 and C2 differential expression genes (DEGs) was created. The validation results demonstrated that the ARGs-DEGs model could properly predict CRC patients' survival and generate prognostic risk classification. Using a combination of clinical characteristics and univariate and multivariate COX regression analysis, the ARGs-DEGs model's risk score was identified as an independent risk factor for colorectal cancer patients. The prognosis of CRC patients can be predicted more precisely with extra Norman chart creation and the incorporation of numerous clinical factors. Furthermore, our additional research demonstrated that signaling pathways involved in extracellular matrix remodeling and intercellular communication may be potential mechanisms of the ARGs-DEGs paradigm. Based on the distribution of immunological checkpoints, we discovered significant differences between the high-risk and low-risk groups, implying that the low-risk groups may have responded better to immunotherapy.
Energy Efficient Fault Tolerant Multipath Routing (EEFTMR) Topology for Wireless Sensor Networks
Authors: Shukla Rupal , Kumar Ashwini , Niranjan Vandana 
Published: February 2024

Abstract
The Wireless sensor networks (WSNs) getting especially designed auto configured networks to sense and transmit the data from constituent deployed sensor nodes to base station. These networks are immensely prone to a variety of faults. This work puts forward an Energy Efficient Fault Tolerant Multipath Routing (EEFTMR) scheme. The elite group-based routing scheme has been employed for routing the sensor nodes and cluster head selection. A fault tolerant cluster head node is going to get selected to improve the fault tolerance of the cluster heads. This fault tolerant cluster head node enables monitoring of cluster head performance and temporary storage of cluster head data until the successful data transmission. A chart was drawn and the hypothesis-based testing was employed in cluster head node to identify the faulty sensor node. In addition, a multipath scheme was adopted for fault tolerant data transmission based on an overall resultant performance parameter derived from residual energy, hop count, network reliability and data speed. The simulation results showcase the superiority of the proposed scheme with respect to network delay (73.7%), energy efficiency (9.6%), network lifetime (9%) and fault free data throughput (61.3%) in comparison of existing elite group-based routing scheme.
Evaluation of Groundwater Quality and Health Risk Assessment of Nitrate Concentration in the Rayen Basin, Kerman, Southeast Iran
Authors: Shayestehfar Mohammadreza , Rezaei Ali , Mousavi Seyedeh Belgheys Fard , Yashooa Noor Kh. 
Published: February 2024

Abstract
The problem of poor water quality has spread throughout the world, especially in areas where water is scarce. Groundwater hydrochemistry and its controlling factors are crucial for human development and global ecosystem stability. The objective of this investigation is to provide a basis for the scientific advancement and sustainable use of groundwater in the Rayen basin in southeast Iran. Furthermore, the study offers data and theoretical support for both the superior development of the study area and ecological protection. In the study area, physiochemical parameters such as temperature, pH, conductivity, and total dissolved solids (TDS), as well as the concentrations of major anions (Cl−, HCO3−, CO32−, NO3−, and SO42−) and major cations (K+, Na+, Ca2+, and Mg2+) have investigated. These factors are vital in determining how well-maintained and useful water bodies. The assessment included the Drinking Water Quality Index (WQI), Groundwater Pollution Index (GPI), and the Nitrate pollution index (NPI) to determine the suitability of Rayen groundwater for human consumption. Through the study the groundwater 120 samples from the Rayen basin, Kerman have been obtained and it has been computed that the GPI values there fall in the range of 0.17 to 9.14 with an average of 1.75. A little less than 47% of samples were reported to be acceptable for drinking due to their low pollution levels. About 9% of them also were characterized as low, another 14% as moderate, 11% were seen as having a high level of pollution, and 19% were regarded as very high which makes them unadvisable for drinking directly. The WQI values shows that 32% of groundwater samples with poor and very poor quality are inappropriate for direct human consumption and requires treatment and only 68% of samples have good water quality. Another thing to consider is that the NPI is varied and ranges between − 0.25 and 4.65. Our findings indicated that the human activities, especially in agriculture and urban areas, as a result of excessive fertilizer use in agriculture also have a significant impact on groundwater solutes.