Recurrent syncope after hysteroscopy finally diagnosed as cerebral venous sinus thrombosis: a case report by Yongqing Zhang, MD, Hongxing Ye, MD, Danqing Chen, MD, PhD, Guohui Yan, MD, Zhanfu Li, MD, Qianhui Xie, MD, Guodong Shan, MD, Zhaoxia Liang, MD, PhD

“…Ten hours later, she had recurrent syncope, nausea, and vomiting. Head computed tomography suggested cerebral edema, potentially indicating TURP syndrome. …”
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Defining the sensitivity of cosmic ray muons to groundwater storage changes by Tramontini, Matías, Rosas-Carbajal, Marina, Zyserman, Fabio Iván,  Longuevergne, Laurent, Nussbaum, Christophe, Marteau, Jacques

“…We use a muon detector to compute a muon image of average density, and to study muon rate variations over time. …”
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Re-locative guided search optimized self-sparse attention enabled deep learning decoder for quantum error correction by Umesh Uttamrao Shinde, Ravikumar Bandaru

“…In addition, the use of statistical features computes the statistical properties of the input, thus aiding the model to perform complex tasks effectively. …”
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Rheology and Stability of Hydrocarbon-Based Gelled Fuels for Airbreathing Applications by Simone Dell’Acqua, Francesco Morando, Stefania Carlotti, Filippo Maggi

“…Finally, the ideal gravimetric specific impulse was evaluated through ideal thermochemical computations. The results showed that promising formulations can be found in both kerosene-based and ethanol-based gels. …”
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Combined exposure to mixed brominated flame retardants on obstructive sleep apnea syndrome in US adults by Junping Liu, Zhaoyue Liu, Xinru Liu, Nan Wang, Lin Wu, Xiaoxue Xu, Wei Liu, Yajie Feng, Huanyu Zhang, Yue Zhou, Xinle Yin, Yaping Liu, Qunhong Wu, Ning Ning, Libo Liang

“…To investigate the OSAS risk with BFRs exposure, multivariate logistic regression, weighted quantile sum (WQS) regression, quantile g-computation (QGC), Bayesian kernel machine regression (BKMR) models, and restricted cubic splines (RCS) were implemented. …”
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Re-conceptualizing trafficking-in-persons victimization using latent class analysis: Results from a community study in Cape Town, South Africa by Annah K. Bender, Erica L. Koegler, Edna G. Rich, Nicolette V. Roman, Rumi Kato Price

“…An interdisciplinary, international research team thus launched a study to estimate the prevalence of human trafficking using a computational algorithm in the Western Cape of South Africa. …”
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Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm by Liang Li, Jia Wang, Xuetao Li

“…With the rapid development of technologies such as big data, intelligent data analysis and cloud computing, the application of Internet financial technology has become more and more extensive, and with the advent of the era of large asset management in the domestic wealth management industry, in order to improve the efficiency of financial services, traditional finance is needed. …”
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Serum amyloid A protein as a predictor of severity in coronavirus disease 2019-infected Egyptian patients by Dalia A.E.M.A.E.R. Negm, Wafaa M.A.E.-W. Elzefzafy, Sabah E.A. El Raheem, Nessren M.B. El Deen

“…Patients and methods This was an observational case–control study conducted on 80 participants: 60 patients with RT-PCR positive and computed tomography chest for COVID-19 disease classified into three groups according to disease severity: group I (20 patients) mild cases, group II (20 patients) moderate cases, and group III (20 patients) severe cases, and 20 participants as a control group. …”
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Impact of image size reducing for image quality assesment by Yu. I. Golub, F. V. Starovoitov, V. V. Starovoitov

“…At the same time, the computation time of estimates is reduced on average by 4 times while reducing images by 2 times. …”
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Deformation of the void space of pores and fractures of carbonates: Comprehensive analysis of core and field data by Dmitriy A. Martyushev, Inna N. Ponomareva, Shadfar Davoodi, Yousef Kazemzadeh, Ali Kadkhodaie, Zhang Tao

“…The study was based on actual production data from wells rather than just on model data or results from computational experiments. Well-test data (170 well tests) and laboratory core samples (45 samples) results were used in the analysis. …”
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Speciation of heavy metals in coastal water of Qeshm Island in the Persian Gulf by A.R. Karbassi, S. Tajziehchi, H. Khoshgalb

“…Oil type, climatic condition and characteristics of oil tanks are among the main variables in computing evaporative losses. The present study brings out the results of a project that was carried out to investigate the adverse effects of oil terminal on coastal waters of Qeshm Island and aims to elaborate on speciation of metals in coastal waters. …”
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Distinct cortico-striatal compartments drive competition between adaptive and automatized behavior. by William H Barnett, Alexey Kuznetsov, Christopher C Lapish

“…Specifically, we develop a computational model of cortico-striatal interactions that performs concurrent goal-directed and habit learning. …”
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Uncovering the Heterogeneity of Signaling Pathways in Skin Cutaneous Melanoma: Insights into Prognostic Values and Immune Interactions by Liu Y, Li C, Deng W

“…However, functional heterogeneity of signaling pathways in skin cutaneous melanoma (SKCM) has not been established.Methods: Based on a recent computational pipeline, pathway activities between SKCM and normal samples were identified.Results: The results showed that high activities in 12 pathways were associated with poor prognoses, while high activities in 17 pathways were associated with favorable prognoses. …”
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Impact of Extracellular Matrix-Related Genes on the Tumor Microenvironment and Prognostic Indicators in Esophageal Cancer: A Comprehensive Analytical Study by Yinghong Wu, Wenjie Hu, Zhihong Jia, Qiying Zhu, Jinghui Xu, Liang Peng, Renjie Wang

“…Our study utilized next-generation sequencing and clinical data from esophageal cancer patients provided by The Cancer Genome Atlas, employing the R package in RStudio for computational analysis. This analysis identified significant associations between patient survival and various ECM-related genes, including IBSP, LINGO4, COL26A1, MMP12, KLK4, RTBDN, TENM1, GDF15, and RUNX1. …”
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Assessment of seed quality and identifying sources of contaminants for maize seed across seed generations accessed through different seed source in Northwest Amhara. by Tilaye Anbes, Dereje Abebe, Melkamu Elmihun, Semagn Asredie, Wasihune Ewenetu, Yematew Chanie

“…Mean percentages of quality parameters were computed and used for comparing the formal seed sources. …”
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Fragment optimized chalcone derivatives targeting OmpA protein as a therapeutic approach against multidrug resistant Acinetobacter baumannii by Muhammad Naveed, Amina Abid, Tariq Aziz, Ayesha Saleem, Arooj Arshad, Khushbakht Javed, Hafiz Muzzammel Rehman, Ghulam Nabi, Mitub Al-harbi, Abdullah F. Alasmari

“…Overall, chalcone derivatives show promise as antibacterial agents against A. baumannii, with computational analyses aiding in compound selection and optimization. …”
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Modelling and Experimental Investigation of an Active Damper by Rafael Luís Teixeira, Francisco Paulo Lépore Neto, José Francisco Ribeiro

“…However, for the proper control design and system operation, the direct use of the finite element model becomes unviable due to its high computational time. Then, a reduced second order discrete dynamic model for the damper was developed. …”
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Single-cell and spatial transcriptomics reveal SPP1-CD44 signaling drives primary resistance to immune checkpoint inhibitors in RCC by Junfeng Zhang, Qingyan Peng, Jin Fan, Fuzhong Liu, Hongbo Chen, Xing Bi, Shuai Yuan, Wei Jiang, Ting Pan, Kailing Li, Sihai Tan, Peng Chen

“…Methods We integrated single-cell RNA sequencing, spatial transcriptomics, and clinical sample analysis to investigate the tumor microenvironment and intercellular signaling. Advanced computational methods, including cell–cell communication networks, pseudotime trajectories, and gene set enrichment analysis (GSEA), were employed to uncover the underlying resistance mechanisms. …”
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Modern trends of digitalization of innovation process by E. N. Bykovskaya, G. P. Kharchilava, Yu. N. Kafiyatullina

“…Modern information technologies are characterized by high computing power, they take control of the organization, production, creation of innovations to a fundamentally different quality level.Currently, the success of competition is determined by the ability of organizations to quickly implement and commercialize innovations and obtain superprofits, in this regard it seems relevant to explore the possibilities of digital solutions and technologies for the effective management and management of innovation.The article analyzes the current state of the information technology industry and the information and communication technologies industry, on the basis of which the problems of the industry development have been identified, and proposals have been developed to use digital products to stimulate the innovation process.…”
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Study of the Adsorption Mechanism and the Structure of Adsorbed Layers of Polyelectrolytes at the Metal Oxide/Solution Interface by S. Chibowski, M. Wiśniewska

“…Because the experimental determination of the number and the length of trains, loops and tails in such polyelectrolytes was not possible, the participation of such segments of polymer structure at the interface was computed using the Scheutjens–Fleer model of polymer adsorption. …”
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