bluuebunny/crossref_metadata_2025_split huggingface dataset:
Utilization of HIV testing services among men who have sex with men inNew Delhi, India: A qualitative study on barriers and facilitators
Authors: Vashisht Shruti , Rai Sanjay , Kant Shashi , Haldar Partha , Goswami Kiran , Misra Puneet , Reddy DCS , Panda Samiran 
Published: September 2023

Abstract
Background & objectives: In India, the prevalence of HIV among men who have sex with men (MSM), a core risk group for HIV was estimated to be 4.3%, 16 times higher than the national average. In Delhi, the estimated prevalence among MSM was 1.8%. Despite free HIV testing services being available across the public health systems, for over two decades, MSM did not avail themselves, these services optimally. The objective of this study was to understand the barriers to and facilitators of the utilisation of standard HIV testing among MSM.
Methods: A qualitative study was conducted among MSM who were registered with the selected targeted intervention sites (TIs) in New Delhi, India. MSM were recruited for focus group discussions (FGDs) between January and May 2021. A total of six FGDs were conducted using a prepared FGD guide that covered questions on issues, challenges faced during and facilitators of the utilization of standard HIV testing. The data were manually coded and entered into NVivo release 1.5 and themes were identified.
Results: A total of 67 MSM participated in the FGDs. Major barriers reported with utilization of standard HIV testing were rude behavior of health care workers (HCWs), long queues, sexual stigma - disclosure of one’s identity on being spotted in queues by acquaintances, discomfort with the too many questions on sexual behavior being asked by HCWs and HIV related stigma- fear of turning out positive. The facilitators identified were knowledge about and perceived risk of HIV/AIDS and exclusive MSM NGOs/ TI sites.
Interpretation & Conclusions: We identified factors within the individual as well as the environment that acted as barriers and facilitators to the utilization of standard HIV testing by MSM.
Non‑intrusive polynomial chaos expansion for robust topology optimization of truss-like continua under random loads
Authors: Guo Xinze , Zhou Kemin 
Published: September 2023

Abstract
This paper dedicates to presenting an uncertain analysis framework for robust topology optimization (RTO) based on truss-like material model that integrates non-intrusive polynomial chaos expansion (PCE) approach. In this framework, the RTO problem is formulated as a bi-objective optimization one to simultaneously minimize the expectancy and its standard deviation of structural compliance with volume constraints. The magnitude and direction of load uncertainty are assumed to follow a Gaussian distribution independently. A standard non-intrusive PCE requires a large number of multivariate integrals to calculate the expansion coefficient. Therefore, response metrics such as structural compliance are efficiently characterized using the decoupling techniques based on the expansions of the uncertain parameters. The mechanical analysis and uncertainty analysis are separated, so that the number of simulations in the original PCE procedure is greatly reduced for linear structures by means of superposition. The optimization is achieved by gradient-based methods. The appreciable accuracy and efficiency are validated by the brutal Monte Carlo simulation. Three numerical examples are provided to demonstrate that the proposed method can lead to designs with completely different topologies and superior robustness.
Subject-specific brain functional fingerprints are preserved during general anesthesia
Authors: Liu Hesheng , Fu Xiaoxuan , Ren Jianxun , Wei Wei , Li Shiyi , Wang Danyang , Wang Yezhe , Yang Zekun , Zhang Yifei , Zhang Ping , Wang Meiyun 
Published: September 2023

Abstract
Functional MRI often requires general anesthesia for noncompliant individuals. However, it remains unclear how anesthesia affects brain network organization and whether individuals’ idiosyncratic functional fingerprints remain identifiable. Here, we performed individualized analyses on prolonged fMRI data (96 minutes) collected from 14 participants in both awake and anesthetized states. We found that functional connectivity in the primary sensorimotor, visual and auditory cortices was particularly susceptible to anesthesia. Within- and between-network connectivity was generally reduced under anesthesia, indicating weakened integration. Individual differences in connectivity profile were diminished, however, subject-specific functional fingerprints were well-preserved and highly identifiable, especially in the association cortices. A model was developed to reconstruct individuals’ awake connectomes using anesthesia data. The model's ability to identify autism-related dysfunctions in social network was demonstrated using data from 29 anesthetized, autistic children. This work revealed anesthetic effects on functional connectivity, and established a reconstructive model that may bridge conscious and unconscious states.
Interaction of Gravitational Waves with Yang-Mills fields
Authors: Gosala Narasimha Reddy , Dasgupta Arundhati 
Published: September 2023

Abstract
In this paper, we discuss the interaction of non-Abelian SU(2) Yang-Mills progressive waves with gravitational waves. We solve and obtain solutions to pure Yang-Mills equations in different backgrounds, and perturbative solutions induced due to gravitational waves. These induced solutions show 'beat patterns' and depending on boundary conditions, changes in frequency. We find that in the symmetry broken phase of the gauge fields, the interactions are perturbative only for an infinitesimal time. The system has to be studied using non-perturbative methods for predicting new observational physics in colliders.
Unraveling the pivotal role of cellular senescence genes in intervertebral disc degeneration: insights from bioinformatics analysis and experimental validation
Authors: Liu Fei , Yin Ji , Guo Daru , Cai Weiye , Cheng Kang , Song Chao , Mei Yongliang , Zhou Daqian , Gao Silong , Lv He , Wang Zhaoqiang , Chen Feng , Liu Zongchao 
Published: September 2023

Abstract
Intervertebral disc degeneration (IVDD) is a complex age-related physiological change involving mainly cellular senescence (CS), inflammation, impaired tissue biomechanical function, and degradation of the extracellular matrix, and is a major cause of lumbar disc herniation and low back pain. Nonetheless, the specific role of CS and its associated genes in IVDD remains unclear. In this study, we first obtained 53 differentially expressed CS-related genes (CSRGs) by differential analyses of IVDD patients and non-IVDD patients from the GSE124272 and GSE150408 microarray expression datasets of the GEO database. We then performed GO and KEGG pathway enrichment analysis on these 53 CSRGs to explore their functions and pathways. To find the key genes from these 53 CSRGs, we first built a protein-protein interaction (PPI) network to recognize hub genes, and then on top of that we also applied the support vector machine recursive feature elimination (SVM-RFE) algorithm, random forest (RF) algorithm, and least absolute shrinkage and selection operator (LASSO) analysis. We finally obtained 4 hub CSRGs (DUSP3, MAPKAPK5, SP1 and VEGFA) to forecast the risk of IVDD. Based on the four hub genes we previously obtained, we built a nomogram model and performed a decision curve analysis, which ultimately suggested that the model was beneficial to patients. Based on the selected 4 hub CSRGs, we classified IVDD patients into two Hub gene patterns (hub gene clusters A and B) by the consensus clustering method, while the 297 DEGs obtained by screening based on the two hub gene clusters were classified into two gene patterns using the same method. We then applied a PCA algorithm to determine Hub gene scores for each sample to measure Hub gene patterns and found that patients in cluster A had higher Hub gene scores than those in cluster B. We also showed the correlation of two Hub gene patterns and Gene patterns with immune cell infiltration and the differential expression levels of four Hub genes by constructing heat maps and histograms. We performed GO enrichment analysis on these 297 DEGs to explore their role in IVDD. Finally, we used qPCR analysis and western blot to verify the expression levels of mRNA and protein in normal and IVDD cells of 4 hub CSRGs. In summary, CSRGs play an important role in the pathogenesis of IVDD, and our study of the hub gene cluster may guide future therapeutic strategies for IVDD.
Hazard function analysis of prognosis after recurrent colorectal cancer
Authors: Ise Ichiro , Kawai Kazushige , Nakano Daisuke , Takao Misato , Natsume Soichiro , Kato Hiroki , Nakamori Sakiko , Dejima Akira , Yamaguchi Tatsuro 
Published: September 2023

Abstract
Background and objectives: Mean survival time (MST) is used as the indicator of prognosis in patients with a recurrence of colorectal cancer (CRC). Alternative to MST, we aimed to visualize the changes in death risk after a CRC recurrence using hazard function analysis (HFA).
Methods: The medical records of 726 consecutive patients with a recurrence after R0 radical surgery for CRC were retrospectively reviewed.
Results: The five-year survival rate post-recurrence was 37.7%, and the MST was 3.5 years, while the risk of death peaked at 2.90 years post-recurrence. Seven variables were found to predict short survival, including number of metastatic organs ≥ 2, non-surgical treatment for the recurrence, and a short interval before recurrence. In patients with a recurrence in one organ, the MST was four years, the peak time of death visualized by HFA was 2.9 years, and the five-year survival rate was 45.7%. In patients with surgical resection of the recurrence, the MST was 8 years, the peak time of death was 3.3 years, and the five-year survival rate was 61.8%.
Conclusions: The present study established a novel method of assessing changes in mortality risk over time using HFA, in patients with a recurrence of colorectal cancer.
WITHDRAWN: Optimization and characterization of biochar obtained from weedy biomass of Calotropis gigantea by vacuum pyrolysis
Authors: Poonia Poonam , Gaur Loveena , Panwar Narayan Lal 
Published: September 2023

Abstract
In the present study, response surface methodology (RSM) was employed to optimize the preparation conditions of biochar to obtain better quality biochar. The maximum fixed carbon, carbon, surface area, pore volume and pore size were predicted at the optimised preparation parameters of 450°C temperature and 50-100mm particle size. The objective of the present study is to evaluate and characterized the application of biochar of invasive weed Calotropis gigantea obtained under optimized parameters by vacuum and slow pyrolysis for one hour of reaction time. The biochar was characterized with the presence of high carbon content of 64.65%, and; low H/C and O/C molar ratio of 0.08 and 0.15 respectively. The surface of biochar was observed porous constituting mesoporous pore structure with remarkable high surface area of 99.91m2/g and pore volume of 0.0398cm3/g along with traces of minerals fractions such as K- 1.33%, Na- 1.17%, Mg- 1.05%. Strong FTIR bands observed at 1994.1 cm-1, 1110 cm-1, and 745 cm-1, representing allenes (R 2C=C=CR 2) , aryl alkyl ethers (R − O – R) and aromatic (C–H) bending. All these parameters indicate its potential in the application for carbon sequestration, climate change mitigation, environment pollutants adsorption (both organic and inorganic) and soil improvement.
Retrospective study of Diameter-axial-polar nephrometry score in predicting high pathological grade of clear cell renal cell carcinoma and papillary renal cell carcinoma
Authors: Liu Ziwen , Sun Ting , Huang Hao 
Published: September 2023

Abstract
Purpose: To explore whether Diameter-axial-polar nephrometry score has the ability to predict high pathological grade of clear cell renal cell carcinoma (ccRCC) and papillary renal cell carcinoma (pRCC).
Patients and Methods: We included 430 patients who underwent robotic or laparoscopic partial nephrectomy (PN) or radical nephrectomy (RN) at our center from 1 January, 2021 to 31 March, 2023. Tumor features was recorded using Diameter-axial-polar nephrometry score (DAP score). Logistic regression was performed to analyse the relationship between DAP score and other clinical data with the high pathological grade of ccRCC and pRCC.
Results: In univariate analysis, male (p=0.006), older(p=0.008), BMI≤ 25 kg/m2 (p=0.036), tumor size (p<0.001). the age-related comorbidity index (ACCI) (p =0.010) and DAP score (p <0.001) was significantly correlated with high pathological grade. Multivariate analysis showed that gender, BMI≤ 25 kg/m2 and DAP score were independent risk factors of high pathological grade of ccRCC and pRCC. The areas under the curve (AUC) of Multivariate logistic regression was 0.774 (95%CI 0.725-0.823).
Conclusion: We confirmed that DAP score is independent risk factor of high pathological grade of ccRCC and pRCC and that a multivariate model incorporating gender and BMI≤ 25 kg/m2 may help urologist provide treatment recommendations.
Anti-ARHGAP26 Autoantibody-associated Autoimmune Cerebellar Ataxia with Medulloblastoma：A Case Report and Review of the Literature
Authors: Li Biyun , Xiao Huimei , Luo Xingang , Liu Fang , Wang Lingan , Pei Zheng , Chang Yanqun 
Published: September 2023

Abstract
Background
The Rho GTPase-activating protein 26 (ARHGAP26) antibody, or anti-Ca, was recently identified as a subacute cerebellar ataxia autoantibody. Medulloblastoma is the most malignant brain tumor in children, with G4 medulloblastoma being the most common subgroup. Ten cases involving ARHGAP26 autoantibody-associated autoimmune cerebellar ataxia (ACA) have been reported to date, with an age of onset of 24 to 84 years. Five patients had a history of tumors. However, there is no reported case of ARHGAP26 ACA coexisting with medulloblastoma.
Case presentation:
Here we report a 28-month-old boy with cerebellar ataxia associated with the presence of anti-ARHGAP26 autoantibody and medulloblastoma. The patient demonstrated gait instability, coughing when drinking, and irritability and was positive for ARHGAP26 antibodies in the serum. Magnetic resonance imaging showed a space-occupying lesion in the fourth ventricle and supratentorial obstructive hydrocephalus. A pathological section of the lesion revealed medulloblastoma originating from the cerebellar vermis.
Conclusions
This case may further the understanding of anti-ARHGAP26 autoantibody-associated cerebellar ataxia, its age of onset, and associated tumors. This case might suggest a potential connection between ARHGAP26 antibodies and tumors such as medulloblastoma in patient with ACA.Therefore, we recommend anti-ARHGAP26 antibody testing and cancer screening for patients diagnosed with ACA. Moreover, we propose that simultaneous cerebrospinal fluid (CSF) and serum testing may help elucidate the connection between the presence of a tumor and anti-ARHGAP26 antibodies in the CSF or serum samples. However, in some cases, testing only serum samples may be sufficient for the diagnosis. Although, double sample tests are necessary to explore pathogenic relevance.
Efficacy and safety of mechanical thrombectomy in the posterior cerebral circulation– a single center study
Authors: Borończyk Michał , Kuźniak Mikołaj , Borończyk Agnieszka , Żak Amadeusz , Binek Łukasz , Wagner-Kusz Anna , Lasek-Bal Anetta 
Published: September 2023

Abstract
Mechanical thrombectomy (MT) is the gold standard for the treatment of ischemic stroke in both the anterior (AMT) and posterior (PMT) cerebral circulation. Existing literature suggests that PMT may lead to worse patient outcomes. The aim of this study was to analyze the impact of selected clinical phenodata on favorable outcomes in patients who underwent PMT and to compare the clinical characteristics of patients who received AMT and PMT. The study group consisted of 623 patients who underwent MT. Patients with PMT had significantly lower median NIHSS scores both at admission (9 vs. 13; p < 0.001) and after MT (7 vs. 12; p = 0.006), compared with those with AMT. In multivariate analysis, the most influential parameters for favorable outcomes in the PMT group at were: National Institutes of Health Stroke Scale score 24 hours after procedure (OR: 0.865 and 0.900), time of MT (OR: 0.993), and leukocytosis (OR: 0.961 and 0.974). Patients with AMT and PMT have different clinical profiles. Most importantly, neurological status one day after MT proved to be the most important prognostic factor for a favorable outcome. In addition, several factors play an important role in predicting outcome, especially in the PMT group.
Comparison of Biuret and Refractometry Method for Serum Total Protein Measurement in Cattle and Goat
Authors: Mesa Sileshi Melese , Megerssa Yoseph Cherinet 
Published: September 2023

Abstract

Objectives
The biuret method is frequently used to determine serum total protein. On the other hand refractometer, a quicker and less expensive option is also determine serum protein. However no study was conducted in Ethiopia to determine validity of refractometer Therefore the purpose of this study was to compare the serum total protein concentration measurement in cattle and goats obtained by the biuret method and refractometer.
Results
Serum samples from 60 cattle and 60 goats were assayed by both methods and data analyzed with a paired t-test, Pearson’s correlation, and Bland-Altman plots. There was a strong correlation between the total protein values determined with the refractometer and the biuret method in cattle (r= 0.9332) and goats (r = 0.9746). There were no significant variations in the protein values measured with the refractometer and those evaluated with the biuret method in both species (P> 0.05). Bland-Altman plots showed that biases indicating the analytic and user error were 8.33% in both species which is below the acceptable total error (<10%). Thus refractometer can be used in place of biuret method since it was valid enough to measure serum total protein in cattle and goats.
Can green finance alleviate the resource curse of China?
Authors: Wei Hua , liu zheng 
Published: September 2023

Abstract
China's economy has transitioned from a phase of rapid growth to a stage of high-quality development, thereby entering a pivotal period wherein the optimization of its economic structure and the transformation of its development mode are of utmost significance. Against this backdrop, the present paper endeavors to investigate whether green finance can effectively mitigate the perils associated with the "resource curse." We measure the coefficient of the resource curse of each province in China and make a specific analysis of its "resource curse" situation. Subsequently, utilizing inter-provincial panel data spanning the years 2011 to 2020, we employ both the fixed effect model and mediating effect model to examine the impact and mechanisms through which green finance can effectively counteract the resource curse. The research findings corroborate the widespread prevalence of the "resource curse" phenomenon across China, with the western region being particularly severely affected. However, on the whole, the majority of provinces in China have experienced some degree of alleviation about this phenomenon. Furthermore, green finance can effectively curtail the occurrence of the "resource curse." Additionally, it can dismantle the resource curse by attracting foreign investments, fostering technological innovation, and facilitating the transformation of the industrial structure. Hence, it is crucial to enhance the development level of green finance, expedite the transformation of regional industrial structures, fully unleash the potential of green finance in mitigating the "resource curse," and ultimately achieve high-quality economic growth at the regional level. We believe that this study can offer novel insights and recommendations to government agencies, financial institutions, environmental organizations, and relevant scholars in their collective endeavors to address the challenges posed by the "resource curse" within the realm of green finance.
Family Socioeconomic Status and Social Withdrawal in Chinese Left-Behind Children: The Moderated Mediating Role of Resilience and Teacher-Child Relationships
Authors: Cai Yingqi , Zhan Shuwei , Zhang Liying 
Published: September 2023

Abstract
BackgroundAs their parents sustained go out for labor service, the left-behind children in Chinese society can not be ignored. The significant effects of family socioeconomic status (SES) may have a direct intergenerational impact on a child’s social adjustment. Although many studies have looked into this topic, few studies have focused on the underlying mechanism and protective factors impacting family SES and offspring social adjustment in the Chinese immigrant context.
Objective This study seeks to examine the mediating effect of resilience on the relationship between family socioeconomic status and social withdrawal behavior and explore whether teacher-child relationships (TCR) can moderate this association.
Participants and setting The sample was 945 left-behind preschoolers (54.8% male) with an average age of 62.35 months (SD = 7.96). These children were from 21 kindergartens in the northern, central, and western regions of China's Guangdong Province, where with average and below-average economic levels.
MethodsData were collected from the teachers about resilience, teacher-child relationships, and social withdrawal. Parents provide information concerning family socioeconomic status. Through SPSS and Mplus, a moderated mediation model was examined.
ResultsFirst, SES is negatively correlated with left-behind preschoolers' social withdrawal. Second, resilience mediated the relationship between SES and social withdrawal.Third, teacher-child relationships moderated the indirect association between SES and social withdrawal behavioral problems via resilience.
ConclusionsOur results support the critical role of resilience and teacher-child relationships in the association between family SES and social withdrawal behavior. Interventions should concentrate on left-behind children's resilience and teacher-child relationships to reduce harmful impacts being passed down through the generations.
AttentiveBugLocator: A Bug Localization Model using Attention-based SemanticFeatures and Information Retrieval
Authors: Ahmad Aminu A. , Yu Lasheng , Kholief Mohamed , Garba Abba 
Published: September 2023

Abstract
In recent years, deep learning-based algorithms such as CNN, LSTM, and autoencoders have been proposed to rank suspicious buggy files. Meanwhile,representational learning has served to be the best approach to extract rich semantic features of bug reports and source code to reduce their lexical mismatch. In this paper, we propose AttentiveBugLocator, a Siamese-based representational learning modelfor improved bug localization performance. AttentiveBugLocator employs BERT and code2vec embedding models to produce richer semantic representations and a Siamese BiLSTM network with context attention to learn semantic matching between BRs and SFs. To further improve the effectiveness of AttentiveBugLocator, the semantic matching features are carefully fused with VSM, stack trace, and code complexity features. Evaluation results on four data sets show that AttentiveBugLocator can identify buggy files on the scale of 56% and 62% on MAP and MRR – thus, outperforms several state-of-the-art approaches.