bluuebunny/crossref_metadata_2025 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

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

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

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

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

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

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

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

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

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

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

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.
Do PANoptosis like cell death exist in Acute-on-chronic liver failure? Evidence from literature mining study, bioinformatics analyses and experimental research
Authors: Ye Qianling , Wang Hanjing , Chen Yue , Zheng Yihao , Du Yuqiong , Ma Chongyang , Zhang Qiuyun
Published: April 2023

ACLF (Acute on chronic liver failure) is a systemic inflammatory disease. PANoptosis is a newly discovered regulated cell death (RCD) that occurs in the infectious and inflammatory diseases. The purpose of this study is to investigate the presence of PANoptosis in liver failure. We selected articles from PubMed and Web of Science databases to collect data from these articles through bibliometrics, data mining, and other methods, and then integrated and analyzed these data. Then, we used the public dataset (GSE139602) to obtain central differentially expressed genes (DEGs) to perform various bioinformatics analyses to predict the potential biological mechanism of ACLF. Finally, we conducted experiment validation in a model of ACLF with rats. We found that in the same cell model or animal disease model of liver failure, three types of RDC can occur simultaneously. Enrichment analysis showed that RDC and immune signaling pathways are important pathways in ACLF, and DEGs are mainly involved in immune and inflammatory responses, biosynthesis, and metabolic pathways. The vivo experiments in rats have shown that a large release of inflammatory factors and the key proteins of PANoptosis were all detected separately in the ACLF rats. Those data support the existence of PANoptosis in ACLF.
Software Defined Network for Energy Efficiency in IoT and RPL Networks
Authors: Gasouma Amir , Yusof Kamaludin M. , MUBARAKALI AZATH , Tayfour Omer Elsier
Published: April 2023

Today's most significant developing technology is the Internet of Things (IoT), and investigating it is a hot issue in information technology. The Internet Engineering Task Force (IETF) in RFC6550 defined the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL), one of the IoT's core routing protocols, and it is the only standard protocol that assists the routing process in Low Power and Lossy Networks (LLNs) of IoT applications. LLNs are connecting smart devices to the Internet to monitor, control, or exchange data. These smart devices are tiny with limited battery capacity and power supply, and it is suffering from excessive energy consumption. This network issue may be addressed with innovative flexible network topology using Software-Defined networks. Our work proposes an (LBC-NDFA) algorithm for software-defined RPL networks to reduce the number of RPL control messages and increase energy efficiency using a Limit based Broadcast Control (LBC) approach that modified the Destination Oriented Directed Acyclic Graph (DODAG) Information Object (DIO) control message format and used the Non-Deterministic Finite Automata (NDFA) algorithm to determine whether a DIO message needs to be broadcasted. Using network simulator NS3, we assess the results. The results of our experiments show the viability of our proposal with decreased control overhead, and control messages, and reduced energy consumption by 40% and 60% with compared works.
DG Placement and Reconfiguration of Radial Distribution System with Different Load Models
Authors: Yadav Ravi Kant , Bharti Dibya , De Mala
Published: April 2023

The distribution system experiences a large power loss as a result of a significant voltage drop. Many techniques have been developed in the literature to mitigate this issue by considering a single-load model. This paper presents a methodology for reducing system loss by improving voltage profiles through Distributed Generations (DGs) placement followed by reconfiguration for different load models. Constant Power (CP), Constant Current (CI), and Constant Impedance (CZ) as well as ZIP (Constant Impedance, Current, and Power) load models with varying loads are considered. The index vector method and Modified whale optimization algorithm are used to determine the best location and size of DGs. A load increment of 7% is used to plan the distribution system for the next five years. The applicability of the proposed methodology is demonstrated in the modified IEEE-33 bus and modified IEEE69 bus Radial Distribution System (RDS) and the results are compared with the existing Genetic Algorithm (GA) technique. The result shows that reconfiguration followed by placement of DGs is an effective technique for minimizing system loss by improving voltage profiles.
Application of medical intelligence based on Apriori algorithm in the management of rehabilitation nursing personnel
Authors: Minmin SHI , Qiuyue WANG , Feng GUO
Published: April 2023

With the increasing demand for medical services, the amount of data in the field of health care is gradually increasing in a stepwise manner every year. These medical data actually capture the medical information of patients and the entire diagnosis and treatment process of doctors, and can reflect the actual situation in the medical and health field. Currently, most hospital rehabilitation nurses use simple statistical methods to process medical data, and the use value of medical data resources is limited. To improve the value of using medical information, check the relationship between hidden laws and medical information. As one of the effective methods in the field of data mining, Apriori's basic principle is to use specific association rules to define all common element sets that support exceeding the minimum support threshold, and to create association rules that use a common model to achieve the validity threshold. This article uses Apriori algorithm to detect rehabilitation nursing personnel in hospitals, conduct data mining and exploration on medical data, design and construct a medical intelligence system, and then use Apriori algorithm to conduct research, propose a disease classification model and inpatient flow model, and conduct training and testing through the disease classification model. Finally, 300 hospital rehabilitation nursing personnel have received training in using a medical intelligence system to test the actual performance of the system, which has proven to enable rehabilitation nursing personnel to better understand patient information and provide personalized services.
User interest modeling and collaborative filtering algorithms application in English personalized learning resource recommendation
Authors: Jin Wu
Published: April 2023

In order to solve the problem that the current traditional English classroom teaching in large classes has higher teaching efficiency, but it is difficult to take care of every student, and it is difficult to meet the needs of students' personalized learning, this paper combines user interest modeling and collaborative filtering algorithms to propose a knowledge-oriented learning resource recommendation method. Moreover, this paper proposes an algorithm based on user interest model. In addition, on the basis of obtaining the user's historical interest model, this paper combines user behavior information to obtain the user interest model and calculates the similarity between the candidate items and the user, and makes TOP-N recommendation based on the similarity calculation result. Finally, this paper conducts experiments on the news dataset, and compares the results with the benchmark algorithm to prove the effectiveness of the algorithm. The results show that this paper has achieved certain results in the research of combining multi-data source user interest modeling and recommendation and has made a little contribution to the research of interest modeling.
The Causality between Gut Microbiome and Psoriasis Vulgaris: Insights from a Bi-Directional Two-Sample Mendelian Randomization Analysis
Authors: Jin Qiubai , Ren Feihong , Dai Dan , Zhao Yuechun , Li Jiaqi , Qian Yiyun , Song Ping
Published: April 2023

Aims Growing evidence have shown a significant relationship between gut microbiome and psoriasis vulgaris. But their causality has not been clarified. To investigate the causality and the direction and strength of the association between gut microbiome and psoriasis vulgaris, we performed an Mendelian randomization (MR) analysis.Methods We obtained the summary statistics of gut microbiome and psoriasis vulgaris from the published genome-wide association study. The inverse-variance weighted model was the main analytical model for determining causal association in our MR analysis and was followed by multiple sensitivity analyses and reverse MR analysis to validate the robustness of MR results.Results 7 bacterial taxa related to psoriasis vulgaris were detected by the current MR analysis. In specific, the genus Eubacterium Fissicatena [P = 3.66×10− 5<(0.05/196)] was a risk factor for psoriasis vulgaris, whereas genus Alloprevotella (P = 0.040), genus Gordonibacter (P = 0.038), genus Lachnospira (P = 0.020), genus Odoribacter(P = 0.024), genus Terrisporobacter (P = 0.046), and phylum Actinobacteria (P = 0.042) were associate with a lower risk of psoriasis vulgaris. The reverse MR analysis suggest no evidence of causal association from psoriasis vulgaris to gut microbiome.Conclusion We validated the causalities between gut microbiome and psoriasis vulgaris and brought innovative insights into the therapy of psoriasis vulgaris: targeted regulating intestinal bacterial taxon to prevent and treat psoriasis vulgaris.
Accurate nonlinear dynamic characteristics analysis of quasi-zero-stiffness vibration isolator via a modified incremental harmonic balance method
Authors: Meng Qingye , HOU Lei , Lin Rongzhou , Chen Yi , Cui Gengshuo , Shi Wenhao , Chen Yushu
Published: April 2023

Quasi-zero-stiffness (QZS) vibration isolator is widely used in low-frequency vibration isolation due to its high-static-low-dynamic-stiffness (HSLDS) characteristics. The complex nonlinear force of the QZS vibration isolator increases the difficulty of solving it while realizing the HSLDS characteristics. The typical analysis method is to use Taylor expansion to simplify the nonlinear force and make it approximate to polynomial form, which leads to inaccurate analysis results in the case of large excitation and small damping. Therefore, the modified incremental harmonic balance (IHB) method is used to directly analyze the dynamic characteristics of the QZS vibration isolator without simplification in this paper. The classical three-spring QZS vibration isolation model is used as the calculation example. The results are different from the previous approximate equation analysis results in three aspects: (1) There is no unbounded response of the system under displacement excitation; (2) Even harmonics and constant terms also exist in the response of the system and can lead to multiple solution intervals; (3) In the case of small damping and large excitation, both displacement excitation and force excitation have subharmonic resonance, reducing the vibration isolation performance of the system. In addition, the accuracy of the solution obtained by the IHB method is verified by the Runge-Kutta method. The accurate analysis method in this paper provides favorable theoretical support for the design and optimization of vibration isolators.
A Study on the Facade Decorative in Kulangsu
Authors: 胡 谢恩 , Liu Yufan
Published: April 2023

The architectural decoration of Kulangsu is complex and magnificent, including the characteristics and styles of classicism, eclecticism, traditional style of southern Fujian, and decorative style of Amoy. It is a treasure house of architectural decoration patterns. At the same time, the development of Kulangsu architecture is the same as the internationalization of modern architecture. Therefore, many modern style gatehouse decoration appeared in the buildings of Kulangsu. Based on the outline of the gate building, the way of arching and the significance of decorative patterns, this paper traces its origin and analyzes its geometry. The geometric relationship in the decoration of the gate house on Kulangsu Island is sorted out, and the gate house style and the gate house mountain flower style are specifically and systematically classified. It is hoped that the relationship between overseas Chinese, local residents and colonists in Southeast Asia can be explained by tracing the origin of architectural decoration.
Effects of whole-grain cereals on fecal microbiota and short-chain fatty acids in dogs - A comparison of rye, oats and wheat
Authors: Palmqvist Hanna , Höglund Katja , Ringmark Sara , Lundh Torbjörn , Dicksved Johan
Published: April 2023

Dietary fiber in dog food is reported to promote healthy gut microbiota, but few studies have investigated the effects of whole-grain cereals, which contain a variety of fiber types and other bioactive compounds. The aim of the present study was to compare the effects of diets containing whole-grain rye (R), oats (O) and wheat (W) on fecal microbiota, short-chain fatty acid production and diet digestibility. Twenty dogs were fed three experimental diets, each for four weeks, in a cross-over design. Fecal samples were collected at the end of each diet period. Analysis of 16S rRNA gene amplicons showed that family Lachnospiraceae and genus Bacteroides were the gut microbial groups most affected by diet, with lowest relative abundance following consumption of diet R and a trend for a corresponding increase in genus Prevotella_9. Fecal acetate and propionate were higher after diet R compared with diet O, with no effects on fecal dry matter. Macronutrient apparent total tract digestibility, measured using acid-insoluble ash, was similar for all three diets. In conclusion, rye had the strongest effect on gut microbiota and short-chain fatty acids, although the implications for dog gut health are not yet elucidated.
Serum oxalate concentration is associated with coronary artery calcification and cardiovascular events in Japanese dialysis patients
Authors: Nishizawa Yoko , Miyata Satoshi , Tosaka Mai , Hirasawa Eriko , Hosoda Yumi , Horimoto Ai , Omae Kiyotsugu , Ito Kyoko , Nagano Nobuo , Hoshino Junichi , Ogawa Tetsuya
Published: April 2023

Coronary artery calcification (CAC) is associated with cardiovascular disease (CVD). CAC might contain calcium oxalate, and a high serum oxalate (SOx) concentration is associated with cardiovascular mortality in dialysis patients. We assessed the associations between SOx and CAC or cardiovascular events in Japanese hemodialysis patients. In 2011, 77 hemodialysis patients underwent multi-detector spiral computed tomography, and Agatston CAC score was calculated. Serum samples were collected and frozen in 2011, and SOx concentrations were retrospectively measured in 2021. Also, new-onset CVD events in 2011–2021 were recorded. The association between SOx concentration and CAC score ≥ 1,000, and new-onset CVD events were examined by logistic regression, Kaplan–Meier, and Cox proportional hazard models, respectively. Median SOx concentration and CAC score were 266.9 (229.5–318.5) µmol/L and 912.5 (123.7–2944), respectively. CAC score was associated with SOx (adjusted odds ratio [OR] 1.01, 95% confidence interval [CI], 1.00–1.02). The number of new-onset CVD events was significantly higher in patients with SOx ≥ median value (hazard ratio [HR] 2.71, 95%CI 1.26–6.16). New-onset CVD events was associated with SOx ≥ median value (adjusted HR 2.10, 95%CI, 0.90–4.91). SOx was associated with CAC score and new-onset CVD events in Japanese hemodialysis patients.
Molecular Docking and Dynamic Simulation-based Screening Identifies Inhibitors of targeted SARS-CoV-2 3CLpro and Human ACE2
Authors: Susha D , Zainab Rida , Sharma Sameer
Published: April 2023

Several genetic variations of Severe Acute Respiratory Ryndrome coronavirus (SARS-CoV) are continuously arising due to the uncontrolled dissemination of the virus during the pandemic. Omicron (B.1.1.529), the most prevalent variation of concern, has demonstrated extraordinary proliferation and pathogenicity and has emerged as the dominant variant as it has inflicted mass casualties worldwide. Impeding the expression of 3CLpro, a coronavirus protease that is essential for digesting the RNA polyproteins, and the human angiotensin-converting enzyme 2 (ACE2) that serves as a receptor for the viral protein is identified as a competent therapeutic target. In the current study, human ACE2 and the viral 3CLpro complex was the target for the designing of novel drugs against the lethal virus. The docked complex was validated by Procheck, and the covid ligand library was investigated for its pharmacological efficacy using admetSAR 2.0. The molecular docking study was performed with the screened compounds obtained from the PubChem database against the docked protein complex. The molecular dynamics simulation study was effectuated using Desmond Schrodinger 2019.2 to assess the stability and interaction of the 3CLpro-ACE2 complex with the ligand followed by normal mode analysis. In addition to having favorable pharmacological qualities, the ligand 1-(4-fluorophenyl)-N'-(4-methylphenyl) propane-1,3-diamine exhibited the best binding affinity with the complex. Consequently, this compound can be used to develop anti-covid medications to combat complications associated with Omicron infection.
WITHDRAWN: Impact of Dark Current on Pinned Photo-Diode Capacitance of CMOS Image Sensor in Low illumination Regime
Authors: Suharwerdi Mohsin , Qazi Gausia
Published: April 2023

Low-light imaging is an essential characteristic of Space and Quanta sensing applications. For an accurate design and optimization of image sensor pixels, the analysis of Dark Current generation mechanisms including effects of Temperature, Trap concentration and Trap Cross-section is essential. TCAD optoelectrical simulations are used to calculate the thresholds of the above generation effects and the corresponding Dynamic Pinned Photo-Diode (PPD) capacitance variations. An interfacial Trap model with various generation models activated allows comparison of variations in PPD capacitance on a widely used PPD model both in light and dark. This allows the remodeling of existing CMOS image sensor compact models to capture the Dark Current effects in a Low illumination regime. The compact model shows a deviation of 6.85% from the physical device.
A Next Generation Sequencing (NGS)-based approach to diagnosing Algerian patients with suspected Inborn Errors of Immunity (IEIs)
Authors: Peng Xiao P. , Al-Ddafari Moudjahed Saleh , Caballero-Oteyza Andres , Mezouar Chahrazed El , Mrovecova Pavla , Dib Saad Eddin , Massen Zoheir , Smahi Mohammed Chems-Eddine , Aldaffari Faiza , Hassaïne Rafik Terki , Lefranc Gérard , Aribi Mourad , Grimbacher Bodo
Published: April 2023

The advent of next-generation sequencing (NGS) technologies has greatly expanded our understanding of both the clinical spectra and genetic landscape of inborn errors of immunity (IEIs). As history has shown and recent large-scale studies of monogenic risk for severe COVID have confirmed, endogamous populations may be enriched for unique, ancestry-specific disease-causing variants as a consequence of geography and/or culture. From a diagnostic perspective, this consideration may significantly impact molecular testing and analysis strategies. Herein, we report on the diagnostic yield of a 2-step NGS-based testing approach beginning with targeted gene panels (TGPs) and reflexing to whole exome sequencing (WES) if negative for Northwest Algerian patients with suspected IEIs. A total of fourteen families were screened using TGPs tailored to their IEI subtypes of common variable immunodeficiency (CVID), inflammatory bowel disease (IBD) or chronic mucocutaneous candidiasis (CMC)-hyperIgE syndrome (HIES), resulting in a total of four definitive or highly likely molecular diagnoses (29% yield). Subsequent application of WES to eight of the ten remaining unsolved cases yielded an additional four diagnoses, giving a 57% overall yield. At least two additional individuals were found to harbor suggestive candidate variants on exome warranting further investigation, while others carried candidate variants or known risk alleles likely contributing to their clinical findings. Only in one patient’s case did we fail to identify any viable potential candidates. By achieving diagnostic yields comparable to those currently quoted for application of short-read NGS to IEI detection, our study demonstrates the viability of a 2-step NGS-based testing strategy in a selected endogamous population. Data from our localized cohort also showed some similarities and differences from NGS studies performed on larger regional IEI cohorts. Finally, our results also highlight many short-comings currently inherent to the application of genomics for clinical IEI diagnostics. Not only does the global community need to address ongoing inequities in representation, access, and infrastructure, but the ability to obtain precise and detailed clinical data remains paramount for achieving diagnostic certainty in the face of complex genotype-phenotype relationships.
In Vitro Culture and Phytochemical Analysis of Diospyros Anisandra
Authors: Santana Alberto Geovanny Aguilar , Pool Felipe Barredo , Alamillo Miguel Angel Herrera , Erosa Fabiola Escalante , Llañez Miguel Angel Keb , Castano Enrique , Argaez Rocio Borges , Rodriguez-Zapata Luis Carlos
Published: April 2023

Diospyros anisandra is a small tree that contains metabolites with antitubercular, antibacterial, larvicidal, antioxidant, antihistaminic, and antiviral properties in its leaves, stem bark, and roots. However, this plant is slowly growing and takes about 10 years to reach maturity in situ. Therefore, it makes it an ideal model to apply tissue cultures and thus be able to have the metabolites of interest as required. In the present work we report for the first time, the establishment and comparison of three different protocols of in vitro culture of D. anisandra. This work aimed to establish stable in vitro cultivation conditions with seeds, leaves and nodal segments. They were cultured in Murashige and Skoog (MS) medium supplemented with plant growth regulators such as Gibberellic acid (GA3), zeatin, 6-benzylaminopurine (BAP), and 2,4-dichlorophenoxyacetic acid (2,4-D). The results showed that a germination efficiency of 73% was achieved in seeds with 57.8 µM GA3. In leaf regeneration, 80% regeneration of embryonic mass was achieved with 28.9 µM of BAP and zeatin. Finally, in nodal segments, an 85% efficiency in axillary shoot regeneration was achieved with 28.9 µM zeatin. On the other hand, the hexane extract of the plant segments of all treatments was analyzed by thin layer chromatography and gas chromatography-mass spectrometry (GC/MS). The main compounds detected are plumbagin, stigmasterol, β-sitosterol, taraxasterol, vitamin E, betulinic acid among others in the three systems studied, therefore, we can conclude that success was obtained in generating a cultivation method that allows us to have these compounds in less than 1 year of growth.
Assessment of the impact of the inverse rotating scale on the body composition of shift workers
Authors: Cavalcante Gilberto , Silva Andressa , Silva Flavia , Crispim Cibele , Brant Valdênio , Guerreiro Renato , de Mello Marco
Published: April 2023

Change from the daily routine to night work and shift work leads to disturbances in the biological rhythms, which only slowly adapt to the new conditions. The processes, ingestion and metabolism and absorption of nutrients may present themselves in an opposite way in night shift workers, as a consequence of nighttime sleep deprivation causing misalignment of the circadian rhythm and dysregulation of nutrient intake and metabolism[1]. While the deleterious effects of inversion of the circadian rhythm caused by night work seem clear, rotating work schedules can favor physiological balance by reducing the loss of night sleep by diluting the days of night work among all workers on the scale and not to a specific group.
Purpose: We describe here the sleep profile, body composition, and basal metabolism in reverse rotating shift workers of operators of a mining company, in order to investigate whether shift work negatively impacts these conditions.
Methods: We aimed to assess whether the 4x1 scale model is harmful to the worker.
Results: sleep and body composition parameters did not be affect by shift work, not corroborating our hypothesis, that this scale would harm the health of the worker. It was impossible to observe differences in the body composition of shift workers considering only the duration of sleep.
Conclusion: Inverse rotating scale model evaluated in this study was interesting for shift workers, since both sleep time and the number of years worked in the shift were not associated with body composition as well as resting metabolism rate.