bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seismic Risk Assessment of Vertical Geometric Irregular Buildings
Authors: Netke Bhushan , Bhosale Avdhoot 
Published: August 2023

Abstract
Historically, construction predominantly comprised conventional rectangular structures. However, modern construction has expanded to encompass organic designs, prompting a demand for seismic assessment techniques for irregular buildings. Analysing these structures poses intricate challenges, requiring innovative resolutions from structural engineers. This paper concentrates on enhancing the structural stability of vertical geometric irregular buildings. It continues by conducting a comparative analysis of diverse vertical geometric irregular buildings using pushover curves and performing seismic risk assessments. The study offers engineers and practitioners valuable insights to ascertain irregularities critical for ensuring structural stability. Ultimately, the research delves into studying the earthquake response of such irregular buildings in seismic zone 5, a high-risk area. This pursuit aligns with the broader goal of fortifying these structures against seismic forces through meticulous examination and comprehension of their behaviour.
Inhibition of granule cell dispersion and seizure development by AAV1-AEG-1 administration in a mouse model of TLE
Authors: Kim Sang Ryong , Leem Eunju , Kim Sehwan , Sharma Chanchal , Nam Youngpyo , Kim Tae Yeon , Shin Minsang , Lee Seok-Geun , Kim Jaekwang 
Published: August 2023

AbstractAlthough granule cell dispersion (GCD) in the hippocampus is known to be an important feature associated with epileptic seizures in temporal lobe epilepsy (TLE), the endogenous molecules that regulate GCD remain elusive. Here, we have identified that the expression of astrocyte elevated gene-1 (AEG-1) is upregulated in the dentate gyrus (DG) of a kainic acid (KA)-induced mouse model of TLE. We further demonstrated that AEG-1 upregulation by adeno-associated virus 1 (AAV1) delivery in the DG induced anticonvulsant activities such as the delay of seizure onset and inhibition of spontaneous recurrent seizures (SRS) through GCD suppression in the mouse model of TLE, while the inhibition of AEG-1 expression increased susceptibility to seizures. Thus, the present observations suggest that AEG-1 is a novel regulator of GCD formation and seizure development associated with TLE, and the induction of AEG-1 in the DG may have therapeutic potential against epilepsy.
Association between invasively measured central aortic pulse pressure and diameter of ascending aorta
Authors: Kim Hack-Lyoung , Joh Hyun Sung , Lim Woo-Hyun , Seo Jae-Bin , Kim Sang-Hyun , Zo Joo-Hee , Kim Myung-A 
Published: August 2023

Abstract
No study has investigated the relationship between arterial stiffness and aortic root geometry using invasive hemodynamic measurement. Thus, this study was aimed to assess the relationship between invasively measured aortic pulse pressure (aPP), a reliable indicator of aortic stiffness, and the diameter of ascending aorta (AoD). We analyzed 665 subjects (64.3 ± 11.0 years; 34.6% female) who underwent elective invasive coronary angiography (ICA) for the evaluation of coronary artery disease (CAD). Transthoracic echocardiography was performed on the same day, and AoD was measured at the level of 1 cm above the sinotubular junction at the end-diastole. Body surface area (BSA)-adjusted AD (AoD/BSA) was used for the analysis. A pig-tail catheter was used to measure aortic pressures at a level approximately 3 cm above the aortic valve just before ICA. aPP was calculated as the difference between systolic and diastolic pressures of the aorta. In multiple linear regression analyses, aPP (β = 0.259; P < 0.001) were found to be significantly correlated with AoD/BSA even after controlling for potential confounders. This correlation power was stronger than aortic systolic pressure (β = 0.189; P < 0.001) and brachial pulse pressure (β = 0.091; P = 0.018) at the same multivariable analyses. In conclusion, our study demonstrated a significant association between invasively measured aPP and AoD/BSA, providing stronger evidence for the link between central aortic stiffness and aortic root geometry.
Experimental assessment of bond behavior of HPC of beam column joint under static load
Authors: Lande Abhijeet Chandrakant , M.Awati Mahesh , Patil Vidya Malgonda 
Published: August 2023

Abstract
An experimental examination of high-performance column compression behaviour (HPC) under static loads is presented in this research. High performance concrete strength, amount and reinforcing space, connection, and yield strength of all materials are among the test variables. The loaded column is distinguished by the pre-cover opening caused by the split plate generated between the cover and the core. Twelve beam column joints specimens are built according to current practice by high performance with different grades and forms and tested under static loads to determine the common concrete effect of in place of traditional concrete at the joint location. The testing results indicate that high performance concrete specimens are more effective in T section than reference concrete specimens in L section. The software's response is appropriate. According to the experimental investigation's findings, the joint region's HPC and reinforcing components interact effectively. Thoroughly investigated the bond strength, crack initiation and propagation, load transfer mechanisms, and overall ductility. These results offer a greater comprehension of the role that HPC plays in the structural integrity of beam-column joints and the ways in which its characteristics affect how well the joint functions under static loading circumstances.
Experimental investigation of reinforced concrete beam behavior under pure torsion and bending and microstructure characteristics
Authors: Patane Atul , Vesmawala Gaurang 
Published: August 2023

Abstract
The present research paper presents the results of an experimental examination of the load behavior and microstructure property analysis of reinforced concrete beams. In addition, the mix design process involves a number of trials to determine the cement, fine aggregate, and coarse aggregate physical characteristics. Experimentally determined values are used in determining the mix design for M20 grade concrete. Eight different beams are produced from the same M20 concrete mixture. These beams range in length from 2100 mm to 2100 mm and have a width of 150 mm and a depth of 250 mm. The beam has 12 mm diameter longitudinal reinforcement at the bottom and 10 mm diameter reinforcement at the top. The employed stirrups have a diameter of 8 mm, a distance between each stirrup of 100 mm, and a distance between each support of 40 mm for a total length of 150 mm. All eight test beams are subjected to a wide range of loading conditions and BFRP wrapping combinations. The cracking load, ultimate load, twist angle and deflection are investigated for all the beams. It is observed that A6 beam combination is a good alternative over the beam with conventional reinforcement. It significantly enhanced the structural performance in all directions.
Construction and Control Tools in Karbandi Construction Technology
Authors: Ainechi shahrzad , Valibeig Nima 
Published: August 2023

Abstract
The design and construction of karbandies from the beginning of the drawing of the plans to the stage of the construction of the domical vault always requires a careful review and control of the construction process. Several control and construction tools are currently used in the same traditional method in the construction of Karbandi elements, however, these tools have not yet been investigated in detail and no sufficient data are available in this field. Knowledge of construction manner and arrangement of karbandi elements and control methods in construction might result in the identification of solutions for restoration and maintenance of such traditional structures. Karbandi control and construction tools have not been specifically studied so far and insufficient information is available. Understanding how the components are built and assembled and how they are controlled during karbandi construction can help identify ways to maintain and repair these traditional structures. This paper aims to clarify the construction and control tools in karbandi construction technology, especially in the rectangular base, based on the teachings of traditional masters and by examining real examples. For this purpose, information was first extracted through library studies, field observations, and direct interviews with master builders and architectural conservators, and then the geometrical system of the samples was constructed by 3D modeling software. The result of the research shows that the construction of the karbandi by traditional architects is the same in general, but differs in detail. The construction differences are discussed in terms of how the bricks are arranged, the fillers and the centering, how the centering is constructed, the size of the base, and so on. These various factors are at the discretion of the architect, making decisions about the details of these features. Also, during the construction of the karbandi, the control of the horizontal and vertical alignment of the centering and components by the control tools is very effective in increasing the accuracy of the execution.
Barriers to uptake of Family Planning Services among Married Women of Reproductive Age in Kenya
Authors: Mahuro Gerald , Kimani Murungaru 
Published: August 2023

Abstract
Unintended pregnancy has adverse social and maternal costs with a worldwide count of 85 million cases in 2012 and Kenya reporting 40% in 2014. Sustainable development goals targets to achieve universal reproductive healthcare services inclusive of family planning by 2030 where in this premise FP2020’s set an overarching goal to achieve 120 million new contraceptive users by 2020. Kenya aimed to increase modern contraceptive prevalence rate by 10% from 46% in 2014. PMA2020 surveys conducted between 2014 and 2020 in Kenya, showed improved contraceptive use from 45% to 58%. Despite this improvement, the supply does not fulfil demand leading to unmet needs for family planning. This study aimed at investigating social demographics, trends, differentials and associated factors affecting unmet need for family planning among married women using PMA2020 surveys. The survey used cross-sectional design with multi-stage sampling to document responses to family planning indicators from eligible women of reproductive age. Samples were drawn from nine randomly selected Counties using probability proportional to size based on households, 120 enumeration areas stratified by urban/rural and randomly selected 42 households. Unmet need for family planning was higher among younger women, in rural setting, low education level and with more children. Additionally, unmet need declined from 2014 to 2016, and decreased with increase in age, discussion about side-effects and age at first contraceptive use. Therefore, family planning programs should be accessible to all women, increase discussion of side-effects related to family planning methods and decrease the age at which women first use contraceptive.
Key words: Family planning; Unmet need; PMA2020 and, FP2020
Added sugar, lifestyle characteristics and serum uric acid levels are associated with the increased risk of coronary artery disease: A questionnaire-based case-control study
Authors: Liu Min , Ma Jianning , Gu Ye , Ao Li , Zhao Jing , Bao Kena , Xu Xiangdong 
Published: August 2023

Abstract
Background
Some studies suggest that the added sugar and unhealthy lifestyle are considered as risk factors for coronary artery disease (CAD), but the accurate relationship between them is less clear. This research evaluates the potential influence of added sugar, lifestyle characteristics and some clinical parameters on the risk of CAD.
Methods
A total of 223 participants including 111 cases and 112 controls were enrolled into this study. Population characteristics were obtained through questionnaires and clinical parameters. Data were tested by varieties of statistical methods.
Results
The comparison results of population characteristics and dietary survey showed that diabetes, physical exercise, UA level, juice, fired food, seafood and health products intake were significantly different between the two groups (p < 0.05). Logistic regression analysis results indicated that diabetes, physical exercise, UA level, BMI, weight changes, instant food, seafood, sugar beverage and health products intake were influence factors for CAD (p < 0.05). Stratified analysis results showed that UA levels of Non-CAD patients with HBP were significantly higher than that of normal subjects both in overweight and normal group (BMI > 24: p = 0.0154, BMI ≤ 24: p = 0.0343). The UA levels in CAD patients, with normal weight and smoking habit, were significantly high compared with Non-CAD group (p = 0.024).
Conclusions
Added sugar beverage and high UA level are independent risk factors associated with the increased risk of CAD. Healthy lifestyles such as physical exercise, intake of seafood are beneficial to prevent CAD. Traditional risk factors including smoking and HBP also potentially increase the risk of CAD in certain groups.
Efficacy of Small Molecules Blocking in Kv1.5 Potassium Channel From Machine Learning Models
Authors: Youme Samiya Kabir , Ahamed Hossain , Oishi Anika Mehjabin , UZ-Zaman Md.Tawfiq , Rahman Ramisha Anan , Hoque Kazi Sumaiya , Islam Md Shariful Islam , Rashid Md Harunur 
Published: August 2023

Abstract
Atrial fibrillation and associated cardiac problems may be treated with the development of potent potassium ion channel Kv1.5 blockers. Since the use of these blockers provides therapeutic advantages and potential side effects, it is significant to identify Kv1.5 channel blockers from compounds. In this work, we employed optimized machine learning models to predict the potential of small molecules in blocking the Kv1.5 channel to address the limitations of traditional screening methods in the drug discovery process. Several machine learning classifiers and regression models were employed utilizing molecular descriptors and fingerprints incorporating with SMOTE oversampling technique to overcome the class imbalance in active and inactive molecules. The results show that distinct models excelled in predicting different molecular attributes. The regression models demonstrated superior performance with random forest regression (RFR) (root-mean-square error = 0.668) and Substructure-Count-HGBR (Histogram-based Gradient Boosting Regression) having adjusted R² of 39.50% for predicting binding affinity. The best-performing models among the fingerprint-based models were the k-Nearest Neighbors Classifier (KNNC) and Substructure-RFC (Random Forest Classifier), which both demonstrated well-balanced predictive models. The generalized machine learning models for Kv1.5 can help researchers quickly narrow down drug candidates that are toxic or beneficial for treating atrial fibrillation in the early stages of drug discovery.
Extramammary Paget’s disease of the unilateral axilla: a case report and literature review
Authors: Liu Li , Liu Ying , Li Feng , Ding Xiaojie 
Published: August 2023

Abstract
Background: Extramammary paget disease (EMPD) is a rare neoplastic dermatosis that mainly affects areas with high parietal gland concentration, such as the vulva and groin, and is very rare in the axilla. Only a few cases have been reported internationally. It is the rarity of the disease that often leads to delayed diagnosis and delays in the condition. Accordingly, early diagnosis and treatment are very critical for prognosis. This report provides good clinical ideas for the diagnosis and treatment of EMPD.
Case presentation: In this study, we described a case of unilateral axillary paget disease. A 52-year-old female patient presented with recurrent erythema, erosion and pruritus in the right armpit for more than 10 years. The patient was finally diagnosed with EMPD by pathological biopsy and immunohistochemical examination, and was cured after surgical treatment. She is currently under follow-up observation.
Conclusions: EMPD of the axillary region is a rare fifinding even in a large medical center. This report provides good clinical ideas for the diagnosis and treatment of EMPD.
Uncertainty-Aware Graph Neural Network for Semi-Supervised Diversified Recommendation
Authors: Cao Minjie , Tran Thomas 
Published: August 2023

Abstract
Graphs are a powerful tool for representing structured and relational data in various domains, including social networks, knowledge graphs, and molecular structures. Semi-supervised learning on graphs has emerged as a promising approach to address real-world challenges and applications. In this paper, we propose an uncertainty-aware pseudo-label selection framework for promoting diversity learning in recommendation systems. Our approach harnesses the power of semi-supervised Graph Neural Networks (GNNs), utilizing both labeled and unlabeled data, to address data sparsity issues often encountered in real-world recommendation scenarios. Pseudo-labeling, a prevalent semi-supervised method, combats label scarcity by enhancing the training set with high-confidence pseudo-labels for unlabeled nodes, enabling self-training cycles for supervised models. By incorporating pseudo-labels selected based on the model’s uncertainty, our framework is designed to improve the model’s generalization and foster diverse recommendations. The main contributions of this paper include introducing the uncertainty-aware pseudo-label selection framework, providing a comprehensive description of the framework, and presenting an experimental evaluation comparing its performance against baseline methods in terms of recommendation quality and diversity. Our proposed method demonstrates the effectiveness of uncertainty-aware pseudo-label selection in enhancing the diversity of recommendation systems and delivering a more engaging, personalized, and diverse set of suggestions for users.
Research on event target recognition based on DRUNet and multi-scale attention
Authors: Liu Zi-Long , tan bing 
Published: August 2023

Abstract
Aiming at the problem of noise and insufficient feature extraction in event camera-based target recognition task, we proposes an event target recognition method based on DRUNet and multi-scale attention. Firstly, DRUNet is added as a filter to reduce the event noise during the conversion of the event stream into event tensor; secondly, a multi-scale convolutional layer is used instead of a single convolutional layer to extract feature information at different scales, and a depth-separable convolution is utilized to replace part of the standard convolution in the network structure to reduce the number of network parameters without losing the performance of the network; thirdly, multi-scale features are performed on different channel fusion and connecting the channel attention module to enhance the network's representation of effective features; then the classifier is redesigned to reduce feature loss and improve recognition accuracy by compressing the semantic information layer-by-layer and step-by-step; finally, the Adam optimizer based on the gradient centered algorithm is used for training to improve the network's generalization ability and training speed. On the N-Caltech101 and N-Cars datasets, the recognition accuracy of the model is 87.2% and 96.3%, respectively, which is significantly higher than other algorithms.
Hepatitis C Virus IgG antibody and HCV RNA status in young adults in ETSAKO, Edo State, Nigeria
Authors: OLANIYAN Mathew Folaranmi , MUHIBI Musa , OLANIYAN Tolulope , Shuaibu Bukhari 
Published: August 2023

Abstract
Study Background:
Hepatitis C Virus (HCV) infection is a significant public health issue globally, with Nigeria being one of the countries with a high frequency of HCV.
Aim and Objective: This study aimed to determine the frequency and frequency of HCV IgG antibody and HCV RNA in young adults in Etsako, Edo State, Nigeria, using.
Materials and Methods: The study used a cross-sectional design, and blood samples were collected and tested for HCV IgG antibody by ELISA and HCV RNA by Reverse Transcripatse PCR. The study participants' demographic information, such as gender, marital status, training, and occupation, were obtained using a structured questionnaire. Two hundred young adults (Female – 100; Male-100) were studied.
Results: The results showed an overall HCV IgG antibody frequency of 8.5%, with slightly higher rates in females (9.0%) than males (8.0%). The frequency of HCV IgG antibody was higher in single unmarried young adults with children (14.3%) compared to those without children (8.8%). The frequency of HCV RNA was 3.5%, with a higher frequency in single unmarried young adults with children (10.7%) compared to those without children (2.0%). The frequency of HCV IgG antibody was higher among females, single unmarried individuals with children, and certain occupations. However, there was a lower significant difference in the frequency of HCV RNA compared to HCV IgG antibody in young adults, single unmarried individuals without children, and gainfully employed graduates. Additionally, the frequency of HCV RNA was significantly lower in single unmarried young adults without children compared to those with children. These findings suggest that HCV frequency varies based on certain demographic and occupational factors, and that testing for HCV RNA may provide more accurate results for diagnosis and treatment. It is important to continue monitoring HCV frequency in different populations to inform prevention and treatment strategies.
Conclusion: The study highlights the need for increased awareness and screening for HCV among young adults, especially those with risk factors such as being single and having children. The findings also provide valuable insights for public health policies and interventions aimed at preventing and controlling the spread of HCV in the community.