bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of signature genes and functional genetic variants in heart failure by integrated bioinformatics analysis
Authors: Dai Li , Zhang Xu , Li Jiayu , Hu Jun , Tian Chongchong , Yang Ye , Qian Bingjun , Zuo Xianglin 
Published: April 2023

Abstract
Heart failure (HF) is a syndrome which the heart fails to meet the metabolic needs of the tissues and affects millions of people all over the world, bringing a great burden to families and society. Studies have shown that genetic factors play an important role in the occurrence and development of HF, but the genetic molecular mechanisms of HF remain to be explored. In our study, the bioinformatics methods were used in combination, the microarray datasets of GSE57338, GSE76701 were retrieved from the gene expression comprehensive database. After merging the above two microarray data and adjusting batch effects, differentially expressed genes (DEG) were determined. Functional enrichment analysis was performed based on Gene Ontology (GO) resources, Kyoto Encyclopedia of Genes and Genomes (KEGG) resources, gene set enrichment analysis (GSEA). Protein protein interaction (PPI) network was constructed using string database. Combined with the above important bioinformatics information, the potential key genes were selected. We identified 181 patients with HF and 140 normal controls (NC). There were 408 DEGs among HF samples, including 224 up-regulated genes and 184 down-regulated genes. The GO and KEGG enrichment analysis revealed the molecular mechanism of HF. GSEA enrichment analysis showed that most DEGs were significantly enriched in wnt signal pathway, histidine metabolism, beta alanine metabolism and so on. PPI networks showed that target genes CXCL10, DDX60, HERC6, IFI44L, IFIT1, IFIT2, IFIT3, MX1, RSAD2, XAF1 are expected to become new targets for HF. The eQTL analysis showed that the hub genes DDX60, HERC6, IFI44L, IFIT1, IFIT2, IFIT3, MX1, RSAD2, XAF1 are regulated by the eight genetic variations of single nucleotide polymorphisms, including rs55730499, rs140570886, rs600038, rs740363, rs1520832, rs10812610, rs6473383 and rs563519. Our findings provide potential biomarkers or therapeutic targets that are genetically regulated for the further study of HF, which contribute to the development of advanced prediction, diagnosis and treatment strategies.
A Nomogram for Predicting Mild Cognitive Impairment in Older Adults with Hypertension
Authors: Jingyu Lu , Wen Ding , Liping Zhang , Liu Xiaoling 
Published: April 2023

Abstract
Background: Hyper- and hypotension increase the risk of cognitive dysfunction. As effective control of blood pressure can reduce the risk of mild cognitive impairment(MCI), early risk assessment is necessary to identify mild cognitive impairment in senile hypertension as soon as possible and reduce the risk of developing dementia.
Method: This artical aims to explore the risk factors for MCI in older patients with hypertension and develop a nomogram model for predicting MCI. A total of 345 older patients with hypertension in Xixiangtang District, Nanning City were selected as modeling group(MG), and divided into MCI group (n=197) and non-MCI group(n=148). Comparing the general conditions, lifestyle, disease factors, psychosocial and other indicators of the two groups. Logistic regression was used to analyze risk factors for mild cognitive impairment in older hypertensive patients, and R Programming Language was used to draw the nomogram. A total of 146 older patients with hypertension in Qingxiu District, Nanning city were selected as verification group(VG). The effectiveness and discrimination ability of the nomogram were evaluated through internal and external verification.
Results: Multivariate logistic regression analysis identified 11 factors, including hypertension grade, education level, complicated diabetes, hypertension years, stress history, smoking, physical exercise, reading, social support, sleep disorders, and medication compliance, as risk factors for mild cognitive impairment in older community-dwelling patients with hypertension. To develop a nomogram model, the validity of the prediction model was evaluated by fitting the curve, which revealed a good fit for both the modeling (P = 0.98) and verification groups (P = 0.96). The discrimination of the nomogram model was evaluated in the modeling group using a receiver operating characteristic curve. The area under the curve was 0.795, sensitivity was 0.584, specificity was 0.919, Jordan Index was 0.503, positive-predictive value was 90.53%, negative-predictive value was 62.5%, and the Hosmer–Lemeshow test yielded P = 0.703. In the validation group, the area under the curve was 0.765, sensitivity was 0.63, specificity was 0.877, Jordan Index was 0.507, positive-predictive value was 84.46%, negative-predictive value was 65.52%, and the Hosmer–Lemeshow test yielded P = 0.234.
Conclusions: We developed a nomogram to help clinicians identify high-risk groups for mild cognitive impairment among community-dwelling older patients with hypertension. This model demonstrated good discrimination and validity, providing a scientific basis for community medical staff to evaluate and identify the risk of mild cognitive impairment in these patients at an early stage.
The use of acetylation to improve the performance of hyaluronic acid-based dermal filler
Authors: Gwak So-Jung , Lee Yu Bin , Lee Eun Joo , Park Kyoung Hwan , Kang Sun-Woong , Huh Kang Moo 
Published: April 2023

Abstract
Injectable dermal fillers, which are used for various plastic surgery purposes, are experiencing explosive growth in the market due to increasing interest in appearance management. Hyaluronic acid (HA) hydrogels have been considered an ideal material for fillers due to their high-water retention, biodegradability, and biocompatibility. However, their application is limited by shortcomings in durability and persistence caused by rapid enzymatic degradation. Therefore, in this study, we introduce acetylated hyaluronic acid-divinyl sulfone (AcHA-DVS) hydrogels for novel approach to improving the physical properties and gel retention time of HA. The AcHA-DVS hydrogels showed significant advantages in terms of longevity and performance as dermal fillers compared to HA-DVS hydrogels. These results suggest that our new AcHA-DVS hydrogel is a promising biomaterial for use as an injectable filler or scaffold of tissue engineering.
Base on solid-works design of compact high efficient solar water heating System.
Authors: STUBBLEFIELD RAMCY SAAH 
Published: April 2023

Abstract
A solar water heating system is a technology that uses the sun's energy to heat water for domestic or industrial purposes. The system consists of a solar collector, a storage tank, and a circulation pump. The solar collector is made up of an array of solar panels, which absorb the sun's energy and transfer it to the water flowing through them. The heated water is then stored in the tank for later use.
A solar water heater is a type of heating system that uses solar energy from the sun to heat water for domestic, industrial, or commercial use. It typically consists of a solar collector panel or array, a storage tank, and plumbing or circulation systems. The solar collector panel absorbs the energy from the sun and transfers it to the water in the storage tank. The heated water can then be used for various purposes, such as showering, washing, or space heating.[1,2]
A solar heating system, on the other hand, is a more general term that refers to any type of heating system that utilizes solar energy. This can include solar water heaters, but it can also include other systems, such as solar space heaters, solar air heating systems, or solar-assisted heat pumps. Solar heating systems can be used in residential, commercial, or industrial settings and can be integrated with existing heating systems to provide a renewable energy source and reduce reliance on fossil fuels.[1]
Solar water heating systems are becoming increasingly popular as they provide an efficient and cost-effective way of heating water. They are particularly useful in areas with abundant sunshine, where they can reduce the reliance on fossil fuels and lower carbon emissions. They are also well-suited for remote or off-grid locations where access to electricity or gas is limited or costly.
The performance of a solar water heating system depends on various factors, including the size and type of collector, the quality of insulation, and the climate conditions. Proper maintenance and regular cleaning of the collector and storage tank are essential to ensure optimal performance and longevity of the system.
Impacts of the COVID-19 Economic Slowdown on Soybean Crop Yields in the United States
Authors: Christopoulos Julianna , Tong Daniel , Campbell Patrick , Ma Siqi 
Published: April 2023

Abstract
It is without question that the COVID-19 pandemic has taken its toll on the U.S. economy. Stay-at-home orders led to reduced vehicular traffic and widespread declines in anthropogenic emissions, such as nitrogen oxides (NOx) and surface ozone (O3). This study is the first to explore the potential consequences of O3 changes resulting from the economic shutdown in the United States on soybean crop yields for 2020. The pandemic’s impact on surface O3 is quantified using the NOAA’s National Air Quality Forecasting Capability (NAQFC), which is based on the Community Multi-Scale Air Quality (CMAQ) model for May-July 2020. The “would-be”, 2020 level business-as-usual (BAU) emissions are compared to a simulation that uses representative COVID-19 (C19) emissions. For each emissions scenario, crop exposures are calculated using the AOT40 cumulative exposure index and then combined with county-level soybean production totals to determine regional yield losses. Exposure changes ranged between -0.8 - 1.25 ppmVhr-1. It was further shown that increased exposures (0.5 – 1.25 ppmVhr-1) in the Southeast counteracted decreased exposures (0.8 – 0.5 ppmVhr-1) in other regions. As a result, corresponding yield improvements counteracted yield losses around the Mississippi River Valley and allowed for minimal soybean production loss totaling $4.7 million over CONUS.
“Figuring stuff out myself” – A qualitative study on maternal vaccination in socially and ethnically diverse areas in England
Authors: Berendes Sima , Mounier-Jack Sandra , Ojo-Aromokudu Oyinkansola , Ivory Alice , Tucker Joseph D , Larson Heidi J. , Free Caroline 
Published: April 2023

Abstract
Background Maternal vaccinations against Influenza, Pertussis, and Covid-19 are recommended in the UK, and vaccines against further infections may become available soon. However, many pregnant women, especially in socially and ethnically diverse areas, have low vaccine uptake. Qualitative studies on the reasons and possible solutions are needed that are inclusive of disadvantaged and minority ethnic groups. We therefore aimed to understand the complex interplay between structural and behavioural factors contributing to the low maternal vaccine uptake in socially and ethnically diverse areas in England in the Covid-19 context.Methods In 2022, we conducted semi-structured interviews and a focus group discussion among a purposive sample of 38 pregnant/recently pregnant women and 20 health service providers, including 12 midwives. Participants were recruited in ethnically diverse London boroughs. We followed a critical realist paradigm and used a thematic analysis approach.Results The sample included participants who took all, some or none of the maternal vaccines, with some participants unsure whether they had taken or been offered the vaccines. Decision-making was passive or active, with the expectation for pregnant women to do their 'own research'. Participants described various individual, social and contextual influences on their decision-making as they navigated the antenatal care system. Missing or conflicting information from providers meant knowledge gaps were sometimes filled with misinformation from unreliable sources that increased uncertainties and mistrust. Both pregnant women and providers described structural and organisational factors that hindered access to information and vaccinations, including lack of training, time and resources, and shortcomings of health information systems and apps. Some participants described factors that facilitated vaccination uptake and many made recommendations for improvements.Conclusions Our study showed how structural and organisational factors can compound uncertainties around maternal vaccination among socially and ethnically diverse populations. Results highlight the need for more reliable resources, streamlined workflows, improved electronic information systems and training in their use. Roles and responsibilities should be clarified with potential greater involvement of nurses and pharmacists in vaccine provision. Education and communication should consider individual (language/digital) skills and needs for information and reassurance. Further research is needed to co-produce solutions with service users and providers.
Machine learning predicts venous thromboembolism events in traumatic brain injury
Authors: wu qiqi , Sun Shanshan , Xie Jie , Bai Xiangjun , Li Zhanfei , Wang Wei 
Published: April 2023

Abstract
Objective: Our study aimed to explore the clinical predict factors and establish a simple and concise model to early identify patients at high risk of venous thromboembolism (VTE) after traumatic brain injury (TBI).
Methods: We performed a retrospective study of 685 patients with TBI admitted to our trauma center from April 2018 to April 2021. The experimental group were consisted of the patients which were diagnosed with VTE during hospital, the control group were randomly selected from the rest patients at the ratio of 1:1. We performed a statistical analysis of the clinical predictors of VTE in TBI patients, and established a prediction model of VTE through the logistics and least absolute shrinkage and selection operator (LASSO) regression.
Results: Among the 685 included TBI patients, the incidence rate of VTE was 14.74% (101/685). Age, LOS, hemoglobin on admission, and anticoagulant therapy were the common predictors. The prediction model based on the LASSO regression was established and showed a satisfactory AUC value of 0.94 (95% confidential interval: 0.85-0.98) and an excellent calibration ability. The nomogram of the model was also given to help the clinicians identify the targeted patients efficiently.
Conclusion: We identified several risk factors for predicting VTE events in TBI patients. The prediction model based on the LASSO regression shows excellent forecasting performance both in the training and validation set.
Application of optoelectronic coupling technology in intelligent charging control of shared vehicles
Authors: Ma Ling , Ni Jinting , Li Cheng , Lu Yean 
Published: April 2023

Abstract
In the context of the continuous development of various innovative technologies, the development of the photoelectric industry is also accelerating. The rapid progress of the photoelectric industry needs to rely on corresponding technical support. The use and wide coverage of photoelectric coupling technology have laid a technical foundation for the rapid development of the photoelectric industry. Considering the use characteristics of photocouplers, traditional design methods cannot meet the requirements of high-voltage and low-voltage working environments, so it is necessary to improve their performance. As time goes by, the lifestyle and needs of Chinese people are developing in a diversified direction, and the "sharing" model has received more and more attention and recognition. Shared cars are one of the industries that has developed relatively rapidly. For shared electric vehicles, solving the charging problem is extremely important. Many cities have set up charging piles, and charging technology has also made significant progress due to the development of shared electric vehicles. However, optimizing the charging situation and scheduling vehicles during driving and parking has become the primary issue facing the development of charging technology. According to the characteristics of current charging technology development, a fuzzy adaptive PID control algorithm is used to identify and automatically control vehicles during the charging process, in order to improve the charging performance of the charging pile.
Leveraging diverse cell-death patterns to predict the prognosis, immunotherapy and drug sensitivity of clear cell renal cell carcinoma
Authors: Zhang Xi , Song Lebin , Wang Shuai , Wei Xiyi , Shao Wenchuan , Song Ninghong 
Published: April 2023

Abstract
Background Programmed cell death (PCD) on the prognosis, tumor microenvironment characteristics and immunotherapy response of patients with clear cell renal cell carcinoma (ccRCC) have not been fully elucidated.Methods The PCD-related signature (PRS) was constructed using the least absolute shrinkage and selection operator regression (LASSO) method to evaluate the PCD characteristics of ccRCC. The E-MTAB-1980 dataset was used as an external validation set. PCD-related clusters were constructed using non-negative matrix factorization (NMF). The different algorithms were used for the investigation of the immune infiltration scores. The Cancer Immunome Atlas (TCIA) was used to download immunotherapy data for ccRCC. The Genomics of Drug Sensitivity in Cancer (GDSC) database was employed to analyze the differences in drug sensitivity of the models. Single cell sequencing data, the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and qRT-PCR were used to check for differences in protein and mRNA expression of PRGs between cancerous and paracancerous tissue.Results PRS may be utilized to distinguish patients' prognosis, immune characteristics, tumor mutation burden, immunotherapy response, and drug sensitivity. Five genes were found to play crucial roles in the promotion of cancer and three genes in the suppression of cancer. qRT-PCR and CPTAC indicated that five genes were overexpressed and three genes were underexpressed in the ccRCC tissues.Conclusion Overall, by synthesising different cell death patterns, we have established a novel PCD model that can accurately predict the clinical prognosis, mutational and immune characteristics of ccRCC.
Sex- and reproductive status-specific relationships between body composition and non-alcoholic fatty liver disease
Authors: Cao Yu-tian , Zhang Wen-hui , Lou Yan , Yan Qian-hua , Zhang Yu-juan , Qi Fang , Xiang Liu-lan , Lv Tian-su , Fang Zhu-yuan , Yu Jiang-yi , Zhou Xi-qiao 
Published: April 2023

Abstract
Background: Gender and reproductive status differences exist in both non-alcoholic fatty liver disease (NAFLD) and body composition. Our purpose was to investigate the relationship between body composition and the severity of liver steatosis and fibrosis in NAFLD in different gender and reproductive status populations.
Methods: This cross-sectional study included 880 participants (355 men, 417 pre-menopausal women, 108 post-menopausal women). Liver steatosis and fibrosis and body composition data were measured using FibroScan and a bioelectrical impedance body composition analyzer (BIA), respectively. Multiple ordinal logistic regression (MOLR) was used to analyze the correlation between body composition indicators and liver steatosis grade and fibrosis stage in different gender and menopausal status populations.
Results: Men have higher waist circumference (WC), appendicular skeletal muscle mass (ASM), appendicular skeletal muscle mass index (ASMI), fat free mass (FFM), and fat free mass to fat mass ratio (FFM/FM) than pre- or post-menopausal women, while pre-menopausal women have higher percent body fat (PBF), visceral fat area (VFA), and fat mass (FM) than the other two groups (p < 0.001). Besides, men have greater controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) values (p < 0.001). For MOLR, after adjusting for confounding factors, WC (OR, 1.07; 95% CI, 1.02-1.12; P = 0.011) and FFM/FM (OR, 0.52; 95% CI, 0.31-0.89; P = 0.017) in men and visceral obesity (OR, 4.16; 95% CI, 1.09-15.90; P = 0.037) in post-menopausal women are independently associated with liver steatosis grade. WC, PBF, and visceral obesity are independently associated with liver fibrosis stage in men (OR, 1.05; 95% CI, 1.01-1.09, P = 0.013; OR, 1.08; 95% CI, 1.01-1.15; P = 0.018; OR, 3.92; 95% CI, 1.97-7.81; P < 0.001, respectively).
Conclusions: Increased WC and low FFM/FM in men and visceral obesity in post-menopausal women are independent correlates of aggravated liver steatosis. In addition, increased WC, PBF, and visceral obesity are independent correlates of worsening liver fibrosis in men. These data support the gender- and reproductive status-specific management of NAFLD.
The Effect of Asparaginase Conjugated with Carboxymethyl Dextran on Apoptosis and Autophagy in the NALM-6 Cell Line
Authors: Azizian Mahshid , Tamaddon Gholam Hossein , ashrafi mahboobeh , Chahardahcherik Marjan , Gharechahi Faezeh 
Published: April 2023

Abstract

Background:Acute lymphoblastic leukemia (ALL) is classified as a malignant disorder. L-asparaginase has several adverse effects and low serum stability as a chemotherapy agent for ALL treatment. Our previous study demonstrated an improvement in the biochemical properties of chemically modified L-asparaginase with carboxymethyl dextran. Afterwards, this study was conducted to confirm the potential application of these findings in the NALM-6 cell line.Methods and Results:In this experimental study, the MTT assay was used to determine the effect of modified L-asparaginase, on the viability of the NALM-6 cell line. Flow cytometry and real-time RT-PCR techniques were employed to assess cell apoptosis and changes in the expression of theATG2BandLC3-IIgenes. After 48 hours of treatment, conjugated L-asparaginase decreased the viability of the NALM-6 cell line, more than those of native L-asparaginase (P=0.01). Flow cytometry analysis revealed that modified L-asparaginase, increasesapoptosis compared to the control sample at all times (after 24 hoursP<0.01, 48 hoursP<0.01 and 72 hoursP=0.03). This increase was more than which, the native enzyme caused. Additionally, quantitative RT-PCR analysis revealed that both enzymes increasedLC3-IIgene expression after 24 hours (P<0.01) while the native enzyme caused the increase more than the modified one (P=0.02). A significant increase inATG2Bexpression was observed only after 24 hours of treatment with the native enzyme (P<0.01).Conclusions:This chemical modification induces apoptosis more, and stimulates the autophagy less than the native enzyme, and leads the cells to death instead of resistance to treatment.