bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unraveling the Genetic Drivers of Heart Failure from Cardiac Endothelial Cells via Single-Cell RNA-Sequencing Data and Machine Learning Model
Authors: Zhong Jisheng , Wu Dongdong , Chen Junquan , Liu Aijun , Li Gang , Su Junwu , Liu Yu 
Published: May 2023

Abstract
Background
Heart failure is a complex syndrome that hinders the heart's ability to provide oxygen to the tissues and is a significant cause of death globally. Given that left ventricular failure is more common than left atrial failure, this study utilizes single-cell RNA-sequencing data to detect differentially expressed genes (DEGs) between the endothelial cells of the two chambers and examines whether these DEGs are related to heart failure development.
Method
The analysis of a healthy human dataset was performed using Seurat, an R package, to identify differentially expressed genes (DEGs) between endothelial cells from the left ventricle and the left atrium of the heart. These findings were validated using two datasets that included both humans and mice with and without heart disease. The overlapped DEGs from the datasets were then utilized to develop a risk prediction model by using linear regression, which can determine an individual's risk for heart failure based on the expression levels of the overlapped DEGs.
Results
Seven genes, including MYL3, MYH6, TNNC1, FN1, B2M, MYL2, and SAT1, were identified with a significant p-value in all three datasets. Enrichment analysis has shown that these genes play a critical role in muscle contraction and heart regulation, and mutations in these genes have been linked to cardiomyopathy. The risk prediction model had a high accuracy rate of 85% in an independent validation dataset.
Conclusion
This study has successfully identified significant genes in endothelial cells that are associated with heart failure and may explain the difference in morbidity between the left ventricle and left atrium.
Investigations on Confederated Unified Power Quality Conditioner with Three-Phase Photovoltaic System
Authors: Mudgal Yashvi , Singh Gurpinder 
Published: May 2023

Abstract
The photovoltaic (PV) system put on a roof has attracted a lot of attention because of its ability to generate clean energy while having a negligible effect on the natural environment. PV energy sources' intermittent operation causes voltage quality issues, and advances in semiconductor technology tend to raise current harmonic distortion levels. The most prevalent source of imbalance between the transmission and generating sides of the system is a problem with power quality at the load side. Unified Power Quality Conditioner (UPQC) is a method for improving power quality that may be employed when power quality issues take on new forms. The MATLAB-Simulink program stimulates a dynamic model of a confederated Three-Phase PV-UPQC study. The developed unified power quality conditioner with solar array successfully reduces the current and voltage harmonics, as shown by the MATLAB simulation results.
Demographic, Clinical, and Immunological features in Combined Immunodeficiency Patients with Pulmonary Complications: A Retrospective Multicenter Study from Iran
Authors: Khanbabaee Ghamartaj , Pourghasem Matin , Jamee Mahnaz , Tabatabaii Seyed Ahmad , Khalili Mitra , Mesdaghi Mehrnaz , Sadeghi-Shabestari Mahnaz , Shirvani Armin , Sadr Saeid , Zahmatkesh Arefeh , Delavari Samaneh , Eslami Narges , Farahbakhsh Nazanin , Mansouri Mahboubeh , Tabiei Ebrahim , Modarresi Seyedeh Zalfa , Behbahani Abdolhamid Taghizadeh , Eslamian Golnaz , Fallahi Mazdak , Enayat Javad , Fallah Shahrzad , Pourghasem Mahsa , Aghamohammadi Asghar , Chavoshzadeh Zahra 
Published: May 2023

Abstract
Background: Combined immunodeficiency (CID) is characterized by profound defects in the development and function of both B and T cells. We aimed to investigate clinical and immunological phenotype in CID patients with and without pulmonary complications.Methods: This retrospective study was performed on patients with established diagnosis of CID registered between 2009 and 2020, who had available thoracic computed tomography scan in their medical records. Patients were divided into two groups based on the development of pulmonary complications, and their demographic, clinical, and laboratory characteristics were compared. All data were analyzed by SPSS software, and a P-value < 0.05 was considered as a significant difference.Results: 53 patients [56.6% male and 43.4% females] were enrolled in the study and divided into two groups of patients with (n = 43) and without (n = 10) pulmonary abnormality in the HRCT. In patients with pulmonary complications, skin lesions, failure to thrive, and autoimmunity, were three top high provenances, and anemia was significantly presented in patients with complicated HRCT. Findings of thoracic high resolution computed topographies (HRCTs) included pneumonia (n = 15, 28.3%), bronchiectasis (n = 10, 18.9%), pulmonary nodules (n = 1, 1.9%), atelectasis (n = 2, 3.8%), interstitial lung disease (n = 2, 3.8%). Dead patients had significantly lower level of platelet (183000 cell/µL, P-value = 0.031), IgG (501 mg/dl, P-value = 0.037) and IgE (1.5 IU/ml, P-value = 0.046) compare to alive patients. The mortality rate was higher in patients with pulmonary complications compared to the other group (18.9% vs. 1.9%, p = 0.667).Conclusion: Respiratory disorders in CID are common and require early periodic monitoring by respiratory tests and HRCT to avoid irreversible injuries.
Risk-Benefits Assessment of Calcium Supplementation Based on Multi- Dimensional Nutritional Profiles in the Hungarian Population
Authors: Mirani Sara , Horváth László , Vecsernyés Miklós , Tóth Béla E. 
Published: May 2023

Abstract
Background Calcium intake is an essential component of a healthy diet and has been linked to numerous health benefits, including the prevention of osteoporosis and reduction of fracture risk in children and adults. The most plausible consequence of insufficient calcium intake can lead to osteoporosis over decades, which is a significant cause of morbidity and mortality with high burden of disease. However, attention should be given to the risk of potential overdoses, since some trials have linked excessive calcium supplementation to increased risk of health complications.Methods Our study aimed to evaluate the possible factors influencing the participants’ calcium profile through a “dietary intake specific questionnaire” to achieve the optimal calcium and vitamin D intake in the prevention of or during therapies for osteoporosis. A comprehensive multi-dimensional dietary survey was administered to evaluate various aspects of the participants' diets, including dietary and supplemented calcium intake, vitamin D exposure, vitamin supplementation profile, and relevant lifestyle parameters. In this article, we specifically analyzed the calcium intake profiles and pharmacovigilance aspects of the study participants.Results We received 478 evaluable datasets. The dietary calcium intake, on average, was close to optimal in the general public. Supplementation safety concerns were raised for the public in less than 7% of patients, who were reported to have a potential overload in daily calcium intake. Albeit, one-third (34%) of the population had a significant deficiency (average: 544 mg/day), and this effect was more relevant among ≤ 25-years old individuals, of them only less than 37% of the responders had an optimal calcium intake. More than half (52%) of the dietary calcium deficient participants did not take any additional calcium supplements. Although, in 73% of general population, most calcium supplementation dosage in use was equal to or below 200 mg/day.Conclusion Our study highlights the importance to implement a “Patient Focused Motivation Strategy” as a broader approach in pharmaceutical care for increasing the patient’s knowledge, understanding the needs of supplementation, and selecting the correct form and dose of the available non-prescription products. It is important to maintain motivation and adherence to the recommended therapy to achieve optimal health outcomes.
A Novel Approach to Biomarker Discovery: Four Key Genes as High-Performance Biomarkers for Colorectal Cancer
Authors: Liu Yongjun , Xu Yuqing , Li Xiaoxing , Chen Mengke , Wang Xueqin , Zhang Ning , Zhang Heping , Zhang Zhengjun 
Published: May 2023

Abstract
Objectives The goal of this study was to use a new machine-learning framework based on max-linear competing risk factor models to identify a parsimonious set of differentially expressed genes (DEGs) that play a pivotal role in the development of colorectal cancer (CRC).Methods Transcriptome data from six public datasets were analyzed, and a new Chinese cohort was collected to validate the findings.Results The study discovered a set of four critical DEGs - CXCL8, PSMC2, APP, and SLC20A1 - that exhibit high accuracy in detecting CRC in diverse populations and ethnicities. Notably, PSMC2 and CXCL8 appear to play a central role in CRC, and CXCL8 alone could potentially serve as an early-stage marker for CRC.Conclusions This work represents a pioneering effort in applying the max-linear competing risk factor model to identify critical genes for human malignancies, and the reproducibility of the results across diverse populations suggests that the four DEGs identified can provide a comprehensive description of the transcriptomic features of CRC. The practical implications of this research include the potential for personalized risk assessment and tailored treatment plans for patients.
Uric acid as a predictor of adverse treatment outcomes in women undergoing in vitro fertilization
Authors: Yan Niwei , Song Junli , Jie Huiying , Lee Pingyin , Liu Simin , Yuan Yuan 
Published: May 2023

Abstract
Introduction Current knowledge on the association of uric acid (UA) as a scavenger of free radicals with the reproductive outcomes of in vitro fertilization is largely limited, since most of the available data are focused on pregnancy complications, and high UA concentration was proposed as a risk indicator for adverse maternal and even infant risks. In the reproductive system, several studies have revealed that UA is involved in female reproductive diseases and that UA accumulation may cause reproductive disorders. However, the effect of UA on the progression of the evolution and quality of oocytes or embryos remains unexplored and unknown. This study aimed to explore the relationship between serum uric acid and reproductive outcomes in women undergoing in vitro fertilization procedures.
Methods 1027 women without any intervention on serum UA levels who underwent the COH procedure and treatment with PGT-M and PGT-A were included, leaving a total of 1,177 samples available for analysis. Finally, 1,177 subjects were further divided into 3 groups according to the serum UA levels: the ≤250 μmol/L group (N=347), the 251-360 μmol/L group (N=669), and the >360 μmol/L group (N=161).
Results The number of retrieved oocytes, mature oocyte rate and good-quality blastocyst rate were individually negatively related to hyperuricemia.
Conclusions The presence of high serum uric acid could lead to a change in the follicular microenvironment, insufficient ovarian blood supply and overexposure of ovarian follicles and embryos to hypoxia and inflammation responses, which strengthened the utility of uric acid as a promising biomarker in clinical practice, particularly in in vitro fertilization procedures, that could contribute to early detection, decision-making about intervention, and improvement of reproductive treatment outcomes.
Fertility-related Quality-of-Life in men undergoing Medically Assisted Reproduction during the pandemic: Sexual beliefs moderate the effects of sexual functioning
Authors: Vallone Francesco , Pugi Daniele , Dèttore Davide , Cuomo Alessandro , Fagiolini Andrea , Coccia Maria Elisabetta , Pozza Andrea 
Published: May 2023

Abstract
Background . Following a diagnosis of infertility, an increasing number of couples are turning to Medically Assisted Reproduction (MAR) to achieve a pregnancy, which can have a detrimental impact on the individual's Quality-of-Life, leading to heightened risks of anxious-depressive symptoms and stress. Little is known about men’s infertility-related Quality-of-Life, and among the variables potentially associated with it, the role of sexual beliefs is neglected.Methods . This study included 166 participants, with 83 men attending a MAR pathway, while a control group of 83 subjects, paired by age, marital status, and number of children was drawn from the general population. Sexual-Modes Questionnaire, Depression-Anxiety-Stress-Scale, Arizona Sexual Experience Scale, and Fertility Quality-of-Life Questionnaire were administered.Results . Among men undergoing MAR, higher levels of erection-related thoughts were associated with a worse Quality-of-Life, but when they occur alongside sexual dysfunction, they were linked to a better Quality-of-Life. Negative thoughts about sex were associated with a higher Quality-of-Life, but when combined with sexual dysfunction, they were associated with a worse Quality-of-Life.Conclusions . Overall, the study highlights the negative impact of certain sexual beliefs on the Quality-of-Life of men undergoing MAR and suggest that psychological interventions should be tailored to the beliefs with which men approach the infertility treatment.Trial Registration. The study was approved on October 27, 2020, by the Institutional Ethics Committee of the Careggi University Hospital of Florence, Italy (approval code: 18326_OSS). Participants provided written informed consent.
Bayesian optimization genetic algorithm based on automated stereo warehouse space optimization
Authors: Chen Jinpeng , Kang Shaobo , Cao Li 
Published: May 2023

Abstract
Automated three-dimensional warehouse is one of the important development directions of modern logistics industry, which can achieve efficient, accurate and safe logistics operation and improve the competitiveness of logistics enterprises. In order to fully exploit the advantages of automated three-dimensional warehouses, the storage of goods in automated three-dimensional warehouses must be reasonably designed and optimized to improve space utilization and logistics efficiency. In this paper, a hybrid algorithm based on a combination of Bayesian optimization algorithm and genetic algorithm is proposed to solve the problem of cargo space layout and cargo storage strategy in an automated three-dimensional warehouse. The method uses the Bayesian optimization algorithm to adaptively adjust the parameters of the genetic algorithm to improve the search capability and convergence speed of the genetic algorithm, while preventing the genetic algorithm from falling into local optimum solutions. Through experimental and simulation analysis, this paper demonstrates the effectiveness of the method in improving the cargo space utilization rate and warehouse operation efficiency, and outperforms the method using genetic algorithm alone in terms of performance and stability, providing a new way of thinking and method for the design and management of automated three-dimensional warehouses, with certain theoretical significance and practical value.
Study of the mechanical behavior of swelling and highly compacted clays in road construction
Authors: Ouslimane Noureddine , Bensalah Jaouad , Barebita Hanane , Belfaquir Mustapha 
Published: May 2023

Abstract
Clays considered “problematic” swelling clay soils in the construction of road infrastructures. They generally associated with high compression, high plasticity, and evolutionary behavior. The objective of this article is to study the mechanical behavior of swelling clays and particularly a clay from the Kenitra region. To do this, samples taken from the main clay sites in the region. They then subjected to several series of tests in the laboratory, namely identification tests and mechanical tests (shear test and odometer compressibility test). The results obtained show that the clays studied exhibit very different behaviors. Indeed, the clays of Sidi Slimane, Sidi Kacem and Ouazzane have very interesting mechanical characteristics and can offered in their natural state as road materials, at least for pavements. Ouazzane clay, on the other hand, has very swelling mechanical characteristics (Cg = 0.06), and clay from Sidi Slimane (Cg = 0.04) and Sidi Kacem (Cg = 0.05) and cannot be used in its raw state. Natural without any treatment.
Suwonella silvatica gen. nov., sp. nov., a new genus of family Neisseriaceae isolated from forest soil in Suwon, South Korea by a soil substrate membrane system
Authors: Trinh Ngoc Hoang , Kim Jaisoo 
Published: May 2023

Abstract
A novel Gram-stain-negative, aerobic, non-motile and rod-shaped bacterial strain designated JH1-16T, was isolated from a forest soil sample in Suwon, Republic of Korea by using a soil substrate membrane system. The strain grew well on Luria-Bertani agar, Mueller-Hinton agar, nutrient agar, R2A agar and tryptic soy broth agar. Strain JH1-16T could grow at temperature of 10–35 °C (optimum, 25–28 °C on R2A, MHA and TSB agar), tolerated pH 9.0 and 2.5% (w/v) NaCl. Phylogenetic analysis based on the sequences of 16S rRNA gene and whole genome indicated that JH1-16T made a distinct cluster with members of the family Neisseriaceae. Strain JH1-16T showed the highest 16S rRNA sequence similarity to Vogesella oryzae L3B39T (93.3%), Crenobacter cavernae K1W11S-7T (93.2%), Vogesella amnigena Npb-02T (93.2%), Crenobacter luteus YIM 78141T (92.9%). The major polar lipid profile comprised phosphatidylglycerol, diphosphatidylglycerol, phosphatidylethanolamine, two unidentified aminolipids, and an unidentified phospholipid. The major respiratory quinone system was ubiquinone Q-8. The main fatty acids were C12:0, C16:0, C12:0-3OH, and summed feature 3. The DNA G + C content of the isolated strain was 63.8 mol% calculated by the whole genome sequence. The average nucleotide identity and digital DNA–DNA hybridization between strain JH1-16T and its reference type strains were below the species threshold values. Based on evidences of polyphasic approach, strain JH1-16T (= KACC 21685T = JCM 35861T) could be proposed as the type strain of a new genus and species in the family Neisseriaceae, for which the name Suwonella silvatica gen. nov. is proposed.
Reliability of a Novel Method to Assess Acute Bacterial Conjunctivitis by Photographs With a Smartphone: A More Reliable Patient-Centred Care
Authors: Figus Michele , Rossetti Luca Mario , Posarelli Chiara , Romano Dario , Castellino Niccolò , Carnovali Marino , Ciprandi Giorgio , Avitabile Teresio 
Published: May 2023

Abstract

Purpose Acute bacteria conjunctivitis (ABC) is a common disease. As ABC diagnosis is usually based on clinical criteria, the present study aimed at investigating the reliability of photographs performed thorough smart phone.Methods This study was an observational, prospective, inter-method reliability study conducted in three sites in Italy. The patients with ABC enrolled in the study underwent two visits. The signs’ assessment was performed by the Investigators and compared with assessment of photographs’ scores.Results Twenty ABC patients completed the study. Considering the three cardinal signs separately, all the ICCs revealed excellent concordance, being the point estimates ranging between 0.92 and 0.96 and the corresponding 95% CIs totally above 0.75 (i.e., the cut-off of excellent agreement.Conclusions The photographic method's inter-method reliabilities, sensitivity, and specificity were excellent. Therefore, the photographic evaluation of patients suffering from acute bacterial conjunctivitis can allow an accurate follow-up of the evolution of the pathology, which needs to be carried out in clinical practice due to the difficulty of re-evaluating the patient in a clinical setting within a short timeframe. Furthermore, the photographic method could also be usefully employed in clinical trials requiring continuous patient monitoring to compare the speed at which different therapeutic approaches achieve control of disease signs.
Computational Intelligence-Based Classification System for The Diagnosis of Memory Impairment in Psychoactive Substance Users
Authors: Zhu Chaoyang 
Published: May 2023

Abstract
Computational intelligence techniques have emerged as a promising approach to the diagnosis of various medical conditions, including memory impairment. The increasing abuse of psychoactive drugs presents a global public health burden, as repeated exposure to these substances can cause neurodegeneration, premature aging, and negatively affect memory impairment. Although the basis for these neurotoxic effects has not been fully elucidated, compelling evidence has shown that dysregulation of neurotransmission, disruption of mitochondrial function and dynamics, impairment of neuroimmunomodulation, and epigenetic changes result from many psychoactive substances. (eg, alcohol, cannabis, opiates, amphetamines and cocaine). Computational intelligence used in this study to classify the brain image from MRI or CT scan and show the effective of dose ratio on the health with time of treatment, diagnosis of memory impairment in psychoactive substance users. Understanding the neurotoxic profiles of psychoactive substances and the underlying pathways is assumed to be of great importance towards improved risk assessment and treatment of substance use disorders. As such, we found the brain diagram and its effect on drug-induced cellular and molecular mechanisms. thus we conclude that good classification in such field may save human life or early detection of memory impairment via classification of brain cells and tissues.
The impact of agriculture production and renewable energy consumption on CO2 emissions in African countries: The Role of Governance
Authors: Dauda Lamini , Xingle Long , Mensah Claudia Nyarko , Ampon-Wireko Sabina 
Published: May 2023

Abstract
Environmental pollution has aggravated the Climate change issues posing unusual challenges to the survival and growth of humanity, including extreme weather, loss of species, and sustainability of the ecosystem in developing countries. The study therefore examines the effects of governance (corruption) and agriculture production on CO 2 emissions in 20 countries in Africa from 1990 to 2019. Unlike previous studies this paper incorporates corruption into agriculture production-environment nexus. The study employed recent panel econometric approach which accounts for cross section dependence in the variables. The findings of the fixed effect model and panel dynamic ordinary least square (PDOLS) show that forest and renewable energy consumption decrease CO2 emissions. However, corruption, agriculture production, export, and urbanization escalate CO2 emissions in African countries covered in the paper. Moreover, the Dumitrescu-Hurlin granger causality indicates a bidirectional causality between agriculture production and CO2 emissions, renewable energy use, agricultural output and forest. Also, unidirectional granger causality runs from corruption to forest and agriculture production. On these premise, consented effort by governments should be made to support good institutions in order to promote good governance to avert pervasive consequences of corruption on the environment.