Pregnancy and Hepatitis B Virus Infection by Selma TOSUN

“…For pregnant women with a serum level of HBV DNA >106-7 IU/ml antiviral therapy may be started to further reduce the transmission rate.…”
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Identification of marker genes associated with oxidative stress in hypertrophic cardiomyopathy using bioinformatics analysis and experimental validation by Jian Zhuo, Ding Ding, Mengkang Fan, Weiwei Lu, Xiaochen Lu, Lihong Yao, Hongzhuan Sheng

“…In addition, according to CIBERSORT analysis, PRKCD and EDNRA may have an effect on the immune microenvironment of HCM patients. …”
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An Integration of RNA Sequencing and Network Pharmacology Approaches Predicts the Molecular Mechanisms of the Huo-Xue-Shen Formula in the Treatment of Liver Fibrosis by Keying Jiang, Jianfeng Bao, Zhonghan Lou, Fei Liu, Keyang Xu, Hiu Yee Kwan

“…<b>Methods</b>: Network pharmacology, machine learning algorithms and RNA-seq were used to predict the immune-treated targets and mechanisms associated with HXS in liver fibrosis. …”
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Controlling user access with scripting to mitigate cyber-attacks by Owusu Nyarko-Boateng, Isaac Kofi Nti, Anastasia Akyamaa Mensah, Emmanuel Kojo Gyamfi

“…The script did not show any challenges, but real-world deployment may exhibit some potential challenges and limitations that may be associated with implementing the solution, such as resource constraints and legacy system compatibility.…”
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Investigation of criminal offences against property: typical investigative situations and problems of applying specialised knowledge by R. L. Stepaniuk, V. O. Husieva

“…It has been noted that such an approach does not exclude the possibility of using other criteria, which in some cases may be of auxiliary importance in the construction of methodological and forensic recommendations. …”
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Prediction of hypertensive disorders in pregnant women in the «gray» risk zone following combined first-trimester screening by N. V. Mostova, V. V. Kovalev, E. V. Kudryavtseva

“…In particular, this cohort usually consists of patients with borderline high risks, who may be designated as a medium risk group or located in a “gray” zone.   …”
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Identification of hub immune-related genes and construction of predictive models for systemic lupus erythematosus by bioinformatics combined with machine learning by Su Zhang, Weitao Hu, Yuchao Tang, Hongjie Lin, Xiaoqing Chen

“…Three machine learning algorithms were applied to DE-IRGs to screen for hub DE-IRGs. …”
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Assessment of copeptin and obestatin levels in coronary artery disease patients by Saraa Ali, Fatma F. Abdel Hamid, Samia Hussein, Shaimaa Wageeh, Doaa M. Ibrahim

“…They are currently assessed clinically through myocardial enzymes, electrocardiography, risk score algorithms, and angiography. It is important to find a suitable marker to differentiate them from other causes of chest pain. …”
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The use of culturally adapted and translated depression screening questionnaires with South Asian haemodialysis patients in England. by Shivani Sharma, Sam Norton, Kamaldeep Bhui, Roisin Mooney, Emma Caton, Tarun Bansal, Clara Day, Andrew Davenport, Neill Duncan, Philip A Kalra, Maria Da Silva-Gane, Gurch Randhawa, Graham Warwick, David Wellsted, Magdi Yaqoob, Ken Farrington

“…However, data indicate that standard cut-off scores may not be appropriate to classify symptom severity. …”
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Evaluating the performances of SVR and XGBoost for short-range forecasting of heatwaves across different temperature zones of India by Srikanth Bhoopathi, Nitish Kumar, Somesh, Manali Pal

“…These four zones are categorized based on the 30-year average maximum temperatures (T30AMT) during the summer months of April, May, and June (AMJ). Two Machine Learning (ML) algorithms eXtreme Gradient Boosting (XGBoost) and Support Vector Regression (SVR) are employed to achieve this goal. …”
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Establishment of an alternative splicing prognostic risk model and identification of FN1 as a potential biomarker in glioblastoma multiforme by Xi Liu, Jinming Song, Zhiming Zhou, Yuting He, Shaochun Wu, Jin Yang, Zhonglu Ren

“…We found that FN1, used for model construction, contained 4 abnormal ASEs resulting in high expression of non-canonical transcripts and the presence of premature termination codon. These abnormal ASEs may be regulated by tumour-related splicing factors according to the PPI network. …”
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Enhancing Route Optimization in Road Transport Systems Through Machine Learning: A Case Study of the Dakhla-Paris Corridor by Najib El Karkouri, Lahcen Hassine, Younes Ledmaoui, Hasna Chaibi, Rachid Saadane, Nourddine Enneya, Mohamed El Aroussi

“…The study relies on applying advanced mathematical modeling techniques and analyzing several datasets to train various machine learning algorithms. The main objective is to identify optimized routes, combining high safety standards, reduced costs, and shorter transport times. …”
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Creation of a cell culture bank: experience of the Pokrovsky Cell Technology Center by E. M. Prikhodko, O. V. Supilnikova, I. V. Maslennikova, N. I. Yenukashvili, A. V. Kotova, V. V. Bagaeva, T. L. Zolina, A. I. Konkina, G. S. atsemirsky

“…The developed approaches and work algorithms made it possible to create a collection of early passage cultures consisting of certified samples that meet the requirements for cell cultures for the manufacture of high-tech drugs and biomedical cell products, as well as for research.…”
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Application of Machine Learning to Statistical Evaluation of Artificial Rainfall Enhancement by Li Dan, Lin Wen, Liu Qun, Feng Hongfang, Hu Shuping, Wang Zhihai

“…Different historical regression statistical test schemes of rainfall enhancement effects are compared and analyzed, aiming to further optimize the best natural rainfall estimation algorithm based on alterable contrast area with statistical method, which can provide reference for the assessment of artificial rainfall enhancement effects. …”
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Exploration of Weak Peak Detection Method Based on Gamma Spectra Deconvolution by SONG Yiming, ZHOU Qianqian, CHEN Ye, LIU Dahai, ZHOU Hongzhao, XIAO Wuyun

“…And then the L-R deconvolution algorithm based on the system response matrices was used to improve the saliency of weak peaks. …”
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X-RAY MORPHOLOGICAL SEMIOTICS OF NON-TUBERCULOUS MYCOBACTERIAL PULMONARY DISEASE by R. B. Amansakhedov, L. N. Lepekha, L. I. Dmitrieva, I. Yu. Andrievskaya, A. T. Sigaev, N. N. Makar’yants, V. V. Romanov, A. E. Ergeshov

“…In 70.3% of cases, the foci were asymmetrically localized mainly in the subpleural areas of the lung and 12.3% of cases were accompanied by reactive involvement of the visceral pleura.CT study revealed a tree-in-bud sign in 96.7% of cases, frosted glass in 10.2%, and mosaic perfusion in 13.2%. …”
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Examining the Impact of Content Features on Customer Engagement in Social Media: A Data Mining Approach on Instagram by Azade Shekari, Mohammad Mehdi Poursaeed, Saeed Dehyadegari

“…Conclusion Previous research on Instagram has mainly emphasized likes and comments as customer engagement behaviors. …”
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Modelación numérica del concreto simple con elementos finitos mediante la teoría de la plasticidad y la función de fluencia de Hu y Schnobrich Numerical modeling of the simple conc... by Luis Rodríguez, Dorian Linero

“…<br>This article describes the formulation, implementation and validation of a constitutive model in the finite element method, which it represents the mechanical behavior of plain concrete subjected mainly to compression, considering the plane stress state and infinitesimal strain. …”
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Dynamic Optimization of Bus Line Schedule in Commuter Corridor Based on Bus IC Card Data by Zhihong Li, Han Xu, Shiyao Qiu, Jun Liu, Kairan Yang, Jiahao Wu

“…To solve the model, a dynamic departure interval optimization method based on improved Genetic Algorithm (GA) was designed under different decision preferences. …”
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Assessment of Risks of Voltage Quality Decline in Load Nodes of Power Systems by Pylyp Hovorov, Roman Trishch, Romualdas Ginevičius, Vladislavas Petraškevičius, Karel Šuhajda

“…The results of numerous studies show that the control of power grid modes is carried out mainly using a technical criterion. The economic criterion is taken into account through the use of complex and inaccurate models that do not accurately predict the result. …”
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