bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Static Stiffness of Soil on Internal Force Distribution of Building Structures Subjected to Earthquake Loads
Authors: mena adisu mesene , Manuka Dagimwork Asele 
Published: January 2023

Abstract
The soil structure interaction model is developed by substructure modeling method. For the purpose of comparative study, the SSI depth is varied by 0m, 1m, 3m, and 5m. To consider this case the foundation soil of firm soil, soil class-A and the soft soil, soil class-C is used to comparative study. By considering rigid foundation, the soil can be replaced by a set of equivalent springs and dashpots in the inertial interaction analysis. The soil structure interaction can be modeled by using equivalent static spring modeling method and static stiffness of spring can be calculated by using the supporting soil properties. To calculate elastic static stiffness of soil the most well-known G. Gazetas equation is used. The static stiffness calculated shows that for the increased depth of soil structure interaction there is increased static stiffness. So, the calculated static stiffness is used as elastic spring constant and it is assigned on the footing column base of building structure which modeled by SAP200 software. Time history analysis is conducted by applying earthquake load on the structure by using SAP200 V 14.
Serum alpha-CGRP levels are increased in COVID-19 patients with headache indicating an activation of the trigeminal system
Authors: Gárate Gabriel , Toriello María , González-Quintanilla Vicente , Pérez-Pereda Sara , Madera Jorge , Pascual Marta , Olmos José Manuel , Pascual Julio 
Published: January 2023

Abstract
Background: Headache is among the most frequent symptoms of acute COVID-19 infection. Its mechanisms remain obscure, but due to its migraine-like characteristics, the activation of the trigeminal system could account for its underlying pathophysiology.
Methods: Our aim was to compare the serum levels of CGRP, as a theoretical marker of trigemino-vascular activation, in 25 COVID-19 inpatients with lung involvement experiencing headache with those of 25 matched healthy controls with no headache history.
Results: Morning serum alpha-CGRPα levels, as measured by ELISA (Abbexa, UK), were increased in COVID-19 patients with headache (55.2±34.3 pg/mL) vs controls (33.9±14.0 pg/mL) (p<0.01).
Conclusions: CGRP levels are increased in COVID-19 patients experiencing headache in the acute phase of this disease, which could explain why headache frequently occurs in COVID-19 and strongly supports a role for trigeminal activation in the pathophysiology of headache in this viral infection.
Structural insights on RNA bridging HIV-1 Vif and antiviral factor APOBEC3G
Authors: Kouno Takahide , Shibata Satoshi , Shigematsu Megumi , Hyun Jaekyung , Kim Tae Gyun , Matsuo Hiroshi , Wolf Matthias 
Published: January 2023

Abstract
HIV-1 hijacks a host ubiquitin ligase complex using a viral infectivity factor, Vif, to degrade the antiviral factor, APOBEC3G (A3G) [1-5]. Great effort has been devoted to discovering the basis of A3G-Vif interaction, the key event of the viral counteraction mechanism. Amino acid determinants of A3G and Vif have been identified, and molecular structures of all components have been determined individually [6-8]; however, no evidence-based atomic configuration of their interface has been published, and the molecular mechanism of A3G recognition by Vif remains unknown. Here, we report the cryo-EM structure of the A3G-Vif complex at 2.8 Å resolution using solubility-enhanced variants of A3G and Vif. We present a conclusive atomic model of the A3G-Vif interface, which assembles in 1:2 stoichiometry via known amino acid determinants. This assembly is not achieved by protein-protein interaction alone, but also involves RNA. The cryo-EM structure and in vitroubiquitination assays identify an adenine/guanine base preference for the interaction and a unique Vif-ribose contact. This establishes the biological significance of an RNA ligand, i.e., Vif preferentially recognizes RNA-bound A3G. Further assessment of interactions between A3G, Vif, and RNA ligands show that the A3G-Vif assembly and subsequent ubiquitination can be controlled by amino acid mutations at the interface or by polynucleotide modification, suggesting that a specific chemical moiety would be a promising pharmacophore to inhibit the A3G-Vif interaction.
Physical Performance Determinants in Competitive Youth Swimmers: A Systematic Review
Authors: Price Todd Vincent Christopher , Legg Hayley , Cimadoro Giuseppe 
Published: January 2023

Abstract

Background Youth swimming performance is determined by several physiological, biomechanical and anthropometric characteristics. This review aimed to identify physical performance determinants of youth swimming performance, assessing strength, power, anaerobic, aerobic and body composition measures. Methods Searches were conducted in electronic databases (PubMed and Web of Science) using keywords relating to swimming and physiological measures, supplemented by citation searching of similar reviews. A total of 795 studies were identified in the initial search. The following inclusion criteria were used: participants were competitive/trained swimmers; swimming time-trial or event was conducted; data was provided on one or more physiological parameters; study was published in English and peer-reviewed. A total of 43 studies met the inclusion criteria. Risk of bias was assessed using Joanna Briggs Institute (JBI) checklist. Results Cross-sectional studies scored between 4–8 and randomised-controlled trials scored 8–9 on their respective JBI checklists. Youth swimming performance was determined by muscle strength, muscle power, lean body mass, anaerobic and aerobic metabolism measures in most studies, where improved performance values of these variables were conducive to swimming performance. Bodyfat % did not have a clear relationship with SP in youth performers. Conclusions Findings of this review suggest that greater levels of muscle strength, muscle power and lean body mass are favourable in swimming performance, with muscle strength and muscle power particularly beneficial for start and turn performance. Anaerobic and aerobic metabolism measures were good determinants of swimming performance, with middle- and long-distance events more influenced by the latter. Bodyfat % has a nuanced relationship with swimming performance, where further investigation is required. Findings were inconsistent across studies, potentially due to unidentified confounding factors. The evidence suggests enhanced physiological factors of strength, power and lean body mass in youth swimmers improves overall swim performance.
Dolutegravir based therapy showed CD4+ T cell count recovery and viral load suppression among ART naïve HIV positive individuals: A longitudinal evaluation
Authors: Gebremedhin Teshager , Ayenalem Melak , Adem Mohammed , Geremew Demeke , Aleka Yetemwork , Kiflie Amare 
Published: January 2023

Abstract
Background: Recently, dolutegravir (DTG)-based combined therapy, a more effective and safer first-line antiretroviral therapy (ART), has been recommended by the World Health Organization (WHO) for the treatment of Human Immunodeficiency Virus (HIV) since July 2018. However, its effectiveness in CD4+ T-cells count recovery and viral load suppression has not been studied yet in Ethiopia, where HIV is endemic. Therefore, we aimed to assess the effect of DTG-based therapy on CD4+ T-cell count and viral load count among HIV-positive patients in Ethiopia.
Methods: A longitudinal prospective cohort study was conducted from July 2020–February 2021. 109 HIV-positive individuals who are ART naive but plan to initiate DTG-based therapy were recruited. HIV viral ribonucleic acid (RNA) copies were determined using a CD4+ T-cell count and quantitative polymerase chain reaction (PCR). To compute the difference in viral load and CD4+ T-cell counts between the baseline, 3rd, and 6th months, a Friedman test was used.
Results: The study included 109 HIV-positive people who had never received antiretroviral medication. Participants taking DTG-based treatment showed significantly decreasing median (IQR) values of viral load count (copies/mL) from 446,812 (237,649.5–732,994.5) at baseline to 34 (23.5–46) at 3 months and 0.0 (0–19) at 6 months of treatment follow-up. Although the treatment increases the proportion of participants with HIV-1 RNA 50 copies/mL from 0 (0% at baseline) to 87 (79.8%) and 100 (91.7%) at the 3rd and 6th months of treatment, respectively, On the other hand, the CD4+ T-cell count increased significantly during treatment: median (IQR): 209 (81.5–417.5) versus 291 (132–522) versus 378 (181.–632.5) cells/L at baseline, the 3rd and 6th months of the treatment follow-up period, respectively.
Conclusion: We found dolutegravir-based therapy was a promising option with high virological suppression rates and CD4+ T-cell count recovery demonstrating a restoration of cellular immunity. More over Viral load suppression rates were high after the initiation of the treatment.
Irisin attenuates ethanol-induced behavioral deficits in mice through activation of Nrf2 and inhibition of NF-κB pathways
Authors: Jiang Xi , Lao Wendie , Lin Qian , Cao Haoran , Chen Lei , Chen Jin , Yu Xuefeng 
Published: January 2023

Abstract
This study aims to investigate the effect of irisin on ethanol-induced behavioral deficits and explore the underlying mechanisms. A mouse model of ethanol addiction/withdrawal was constructed through chronic ethanol administration. Depressive-like behaviors were evaluated by the tail suspension test and forced swimming test, and anxiety-like behaviors were evaluated by the marble-burying test and elevated plus maze test. The expression of Nrf2 was measured by western blotting. Levels of inflammatory mediators (NF-κB, TNF-α, IL-1β and IL-6) and oxidative stress factors (ROS, MDA, GSH and SOD) were detected by ELISA. The ethanol-induced PC12/BV2 cell injury model was used to elucidate whether the effect of irisin on ethanol-induced neurological injury was related to anti-inflammatory and antioxidant mechanisms. Ethanol-induced ethanol preference and emotional deficits were improved by chronic irisin treatment; however, these improvements were partly reversed by cotreatment with the Nrf2 inhibitor ML385. Further results implied that the improvement effect of irisin on behavioral abnormalities may be related to its anti-inflammatory and antioxidant effects. In detail, irisin inhibited ethanol-induced abnormal expression of ROS and MDA and upregulated the expression of GSH and SOD. Meanwhile, irisin treatment inhibited ethanol-induced overexpression of NF-κB, TNF-α, IL-1β and IL-6 in the hippocampus and cerebral cortex. The regulation of oxidative stress factors by irisin was reversed after ML385 treatment. In the in vitro study, overexpression of oxidative stress factors in ethanol-treated PC12 cells was inhibited by irisin treatment; however, the prevention was reversed after the knockdown of Nrf2 siRNA. Moreover, ethanol-induced overexpression of inflammatory mediators in BV2 cells was also inhibited by irisin treatment. Irisin improved depressive and anxiety-like behaviors induced by ethanol addiction/withdrawal in mice, and this protection was greatly associated with the NF-κB-mediated anti-inflammatory signaling pathway and Nrf2-mediated antioxidative stress signaling pathway.
Development of Revised ResNet-50 for Diabetic Retinopathy Detection
Authors: Lin Chun-Ling , Wu Kun-Chi 
Published: January 2023

Abstract
Diabetic retinopathy (DR) produces bleeding, exudation, and new blood vessel formation conditions. DR can damage the retinal blood vessels and cause vision loss or even blindness. If DR is detected early, ophthalmologists can use lasers to create tiny burns around the retinal tears to inhibit bleeding and prevent the formation of new blood vessels, in order to prevent deterioration of the disease. Imaging examination is a valuable technique for doctors in the prediction and treatment of diseases. The rapid improvement of deep learning has made image recognition an effective technology; it can avoid misjudgments caused by different doctors’ evaluations and help doctors to predict the condition quickly. Therefore, this paper adopts visualization and preprocessing in the ResNet-50 model to improve module calibration, to enable the model to predict DR accurately.
Polygenic Contributions to Performance on the Balloon Analogue Risk Task
Authors: Nurmi Erika , Laughlin Christopher , de Wit Harriet , Palmer Abraham , MacKillop James , Cannon Tyrone , Bilder Robert , Poldrack Russell , Congdon Eliza , Sabb Fred , Seaman Lauren , McElroy Jude , Libowitz Mark , Weafer Jennifer , Gray Joshua , Dean Andy , Hellemann Gerhard , London Edythe 
Published: January 2023

Abstract
Risky decision-making is a common, heritable endophenotype seen across many psychiatric disorders. Its underlying genetic architecture is incompletely explored. We examined behavior in the Balloon Analogue Risk Task (BART), which tests risky decision-making, in two independent samples of European ancestry. One sample (n=1138) comprised healthy participants and some psychiatric patients (53 schizophrenia, 42 bipolar disorder, 47 ADHD); the other (n=911) excluded for recent treatment of various psychiatric disorders but not ADHD. Participants provided DNA and performed the BART, indexed by mean adjusted pumps. We constructed a polygenic risk score (PRS) for discovery in each dataset and tested it in the other as replication. Subsequently, a genome-wide MEGA-analysis, combining both samples, tested genetic correlation with risk-taking self-report in the UK Biobank sample and psychiatric phenotypes characterized by risk-taking (ADHD, Bipolar Disorder, Alcohol Use Disorder, prior cannabis use) in the Psychiatric Genomics Consortium. The PRS for BART performance in one dataset predicted task performance in the replication sample (r=0.13, p=0.000012, pFDR=0.000052), as did the reciprocal analysis (r=0.09, p=0.0083, pFDR=0.04). Excluding participants with psychiatric diagnoses produced similar results. The MEGA-GWAS identified a single SNP (rs12023073; p=3.24 x 10-8) near IGSF21, a protein involved in inhibitory brain synapses; replication samples are needed to validate this result. A PRS for self-reported cannabis use (p=0.00047, pFDR=0.0053), but not self-reported risk-taking or psychiatric disorder status, predicted behavior on the BART in our MEGA-GWAS sample. The findings reveal polygenic architecture of risky decision-making as measured by the BART and highlight its overlap with cannabis use.
A Novel Honey Badger Algorithm with Golden Sinusoidal Survival Rate Selection
Authors: Wang Fengxian , Bi Senlin , Feng Shaozhi , Zhang HuanLong 
Published: January 2023

Abstract

The original Honey Badger Algorithm as one of the newest meta¬heuristic techniques has a better convergence speed. However, HBA has the potential disadvantages of poor convergence accuracy, insufficient balancing among exploration and exploitation, and the propensity to slip into local optimization. In this paper, a novel golden sinusoidal survival honey badger algorithm is proposed. Firstly, an opposing learning and chaos mechanism are applied to the initial individual generation so that they can be distributed throughout the entire search area, which improves the precision of initial populations. Secondly, in the position update phase, we use a nonlinear convergence strategy to balance the weight of prey in the next walk and to increase the global search ability. After that, evaluating the quality of honey badger by golden sinusoidal survival rate and updating precocious individuals by Lévy flight, through which the premature convergence of the algorithm can be avoided. Finally, 23 benchmark function, CEC2019 tests are employed to assess the effectivity of improved algorithm. Test results indicate that the algorithm's capabilities to evolve, to extricate the local optimal and to detect the global optimal placements are enhanced.
The Mediating Role of Perceived Behavioral Control on the Relationship between Entrepreneurship Education and Entrepreneurial Intentions of University Students in Ethiopia
Authors: Aga Messele Kumilachew 
Published: January 2023

Abstract
Unemployment of graduates from higher education institutions become a common phenomenon in Ethiopia. To minimize this problem entrepreneurship development and promoting an entrepreneurial ecosystem have been considered as a remedy. Among others, this could be achieved through fostering entrepreneurship education. Hence, the purpose of this paper is to investigate the mediating role of perceived behavioral control in the relationship between entrepreneurship education and entrepreneurial intentions in Ethiopian Universities. Explanatory research design was used and data were collected by a self-administered questionnaire from a sample of 335 undergraduate students who took the course entrepreneurship in four Ethiopian universities. Structural Equation Modeling (SEM) approach using AMOS software was employed and confirmed both measurement and structural model fit before analysis. Then, the findings revealed that entrepreneurship education has a positive and significant effect on entrepreneurial intentions and perceived behavioral control. Moreover, perceived behavioral control positively predicts entrepreneurial intentions. The findings further explained that perceived behavioral control has a partial mediating effect on the relationship between entrepreneurship education and entrepreneurial intentions. Therefore, universities in Ethiopia should work on different initiatives that enhance knowledge, attitude, and skills of students on entrepreneurship that could help them to develop perceived behavioral control so as to enhance their intentions to become nascent entrepreneur after their graduation.
Pericarotid fat stranding at CT angiography:a marker of the short-term prognosis of acute ischemic stroke
Authors: Liu Ying , Zhao Yinan , Guo Zhongping , Li Mengshuang , Shan Hangsheng , Zhang Yonggang , Miao Chongchang , Gu Yan 
Published: January 2023

Abstract
Purpose
Perivascular epicardial fat stranding detected in the coronary CT angiography was associated with culprit lesion and provided helpful information of risk for ACS. This study aimed to evaluate the potential clinical significance of pericarotid fat stranding (PCFS) and investigate the association between PCFS and short-term prognosis of acute stroke with head and neck CT angiography (CTA).
Methods
This study included 80 patients (mean age 69.69士11.03; 58 men) who underwent both head and neck CTA and magnetic resonance imaging (MRI) within 2 weeks. Baseline characteristics, PCAT attenuation, plaque characteristics, ischemic penumbra, infarct core volume, infarct core growth rate (CGR) and grade of collateral status between PCFS group and non-PCFS group were recorded, these data were compared by using two-sample t,Mann-Whitney U,Fisher tests and Spearman’s correlation test.
Results
We found that patients with PCFS had a significantly higher PCAT density than non-PCFS patients (-55.75 ± 5.53 vs -65.82 ± 9.65;P༜0.001 ). Those with PCFS showed a larger infarct core volume (166.43 ± 73.07 vs 91.43 ± 55.03;P = 0.001 ) and faster CGR (39.57 ± 12.01 vs 19.83 ± 32.77;P༜0.001), and that the frequency of adverse prognosis was more significant than in control subjects (83.33% vs 19.11%). The difference was statistically significant.
Conclusions
We discovered that individuals with PCFS had greater CGR, which was substantially related with a worse outcome in acute stroke patients with ipsilateral carotid atherosclerosis. Recognition of PCFS may help to predict stroke prognosis and allow doctors to take early action to improve patient prognosis.
Novel approach to extract candidate outcomes from literature for a standard outcome set: A case- and simulation study
Authors: Veen Kevin , Joseph A , Sossi F , Jaber P Blancarte , Lansac E , Das-Gupta Z , Aktaa S , Takkenberg JJM 
Published: January 2023

Abstract
Aims
Standard outcome sets enable the value-based evaluation of health care delivery. Whereas the attainment of expert opinion has been structured using methods such as the modified-Delphi process, standardized guidelines for extraction of candidate outcome measures from literature are lacking. As such, we aimed to describe a novel methodology to obtain a comprehensive list of candidate outcome measures for potential inclusion in standard outcome datasets.
Methods
We designed a three-key steps to develop a list of candidate outcome measures to evaluate healthcare and applied these steps for the development of the international consortium of health outcome measures Heart valve disease dataset to illustrate the method. Our methodological approach involves: 1) Benchmark review of relevant registries and Clinical Practice Guidelines; 2) Applying machine learning to screen (using frequent words in abstracts) the studies that have been extracted from a systematic search of the literature using only the disease term; and 3) Extracting the candidate outcome measures from randomly selected batches of the retrieved studies iteratively until saturation is reached. Batch cutoff choices were investigated using data of 1000 simulated cases.
Results
Simulation showed that on average 98% (range 92% to 100%) saturation is reached using a 100-article batch initially, with 25 articles in the subsequent batches. On average 1.7 repeating rounds (range 1-5) of 25 new articles were necessary to achieve saturation.
Conclusion
In this paper a standardized three-pillar approach is proposed to identify relevant outcome measures for a standard dataset. This approach creates a balance between comprehensiveness and feasibility in conducting literature reviews for the identification of candidate outcome measures.
Mutual regulation mechanism of the O-GlcNAcylation enzyme pair revealed by Cryo-EM structure of human OGT–OGA complex
Authors: Gao Haishan , Lu Ping , Liu Yusong , He Maozhou , Cao Ting , Yang Mengquan , Qi Shutao , Yu Hongtao 
Published: January 2023

Abstract
O-GlcNAcylation is a conserved post-translational modification that attaches N-acetyl glucosamine (GlcNAc) to myriad cellular proteins1–4. In response to nutritional and hormonal signals, O-GlcNAcylation regulates diverse cellular processes by modulating the stability, structure, and function of target proteins. Misregulation of O-GlcNAcylation is implicated in cancer, diabetes, and neurodegeneration5–7. A single pair of enzymes, the O-GlcNAc transferase (OGT) and the O-GlcNAcase (OGA), catalyzes the addition and removal of O-GlcNAc on over 3,000 proteins in the human proteome8,9. How OGT selects its native substrate(s) and maintains the homeostatic control of O-GlcNAcylation of so many substrates against OGA are not understood. Here we show that chemically induced degradation of OGT co-depletes OGA in human cells, suggesting the existence of a stable OGT–OGA complex in vivo. The cryo-electron microscopy (cryo-EM) structures of human OGT and the OGT–OGA complex reveal that OGT forms a functionally important scissor-shaped dimer. A long flexible OGA segment occupies the extended substrate-binding groove of OGT and positions a serine for O-GlcNAcylation, thus preventing OGT from modifying other substrates. Conversely, OGT disrupts the functional dimerization of OGA and occludes its active site, resulting in the blocking of access by other substrates. This unexpected but direct mutual inhibition between OGT and OGA limits futile O-GlcNAcylation cycles and maintains O-GlcNAc homeostasis.