Assessment of Antibiotic Resistance and Efflux Pump Gene Expression in Neisseria Gonorrhoeae Isolates from South Africa by Quantitative Real-Time PCR and Regression Analysis by Nireshni Mitchev, Ravesh Singh, Veron Ramsuran, Arshad Ismail, Mushal Allam, Stanford Kwenda, Florah Mnyameni, Nigel Garrett, Khine Swe Swe-Han, Abraham J. Niehaus, Koleka P. Mlisana

“…There is the potential to predict an isolate as either susceptible or nonsusceptible based on the mRNA expression level of specific candidate markers, to inform patient management. …”
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Comprehensive performance evaluation of satellite-based and reanalysis rainfall estimate products in Ethiopia: For drought, flood, and water resources applications. by Desta Yoseph Wodebo, Assefa M Melesse, Tekalegn Ayele Woldesenbet, Kirubel Mekonnen, Ahmed Amdihun, Diriba Korecha, Hailay Zeray Tedla, Gerald Corzo, Asaminew Teshome

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Integrated singlecell and bulk RNA-seq analysis identifies a prognostic signature related to inflammation in colorectal cancer by Wen Yin, Yanting Ao, Qian Jia, Chao Zhang, Liping Yuan, Sha Liu, Wanmeng Xiao, Gang Luo, Xiaomin Shi, Chen Xin, Maolin Chen, Muhan Lü, Zehui Yu

“…Therefore, this study aimed to investigate the potential of inflammation-related genes in CRC risk prediction. Inflammation gene models were constructed and validated by combining transcriptomic and single-cell data from TCGA and GEO databases, and the expression of inflammation-related genes was verified by RT-qPCR. …”
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Medium Energy Electron Flux in Earth's Outer Radiation Belt (MERLIN): A Machine Learning Model by A. G. Smirnov, M. Berrendorf, Y. Y. Shprits, E. A. Kronberg, H. J. Allison, N. A. Aseev, I. S. Zhelavskaya, S. K. Morley, G. D. Reeves, M. R. Carver, F. Effenberger

“…At these energies, electrons are driven by both convective and diffusive transport, and their prediction usually requires sophisticated 4D modeling codes. …”
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Time-series single-cell transcriptomic profiling of luteal-phase endometrium uncovers dynamic characteristics and its dysregulation in recurrent implantation failures by Dandan Cao, Yijun Liu, Yanfei Cheng, Jue Wang, Bolun Zhang, Yanhui Zhai, Kongfu Zhu, Ye Liu, Ye Shang, Xiao Xiao, Yi Chang, Yin Lau Lee, William Shu Biu Yeung, Yuanhua Huang, Yuanqing Yao

“…A computational model capable of both temporal prediction and pattern discovery is used to analyze single-cell transcriptomic data from over 220,000 endometrial cells. …”
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Comparison of Deep-Learning-Based Segmentation Models: Using Top View Person Images by Imran Ahmed, Misbah Ahmad, Fakhri Alam Khan, Muhammad Asif

“…The network consists of a set of max-pooling and convolution layers to identify pixel-wise class labels and prediction of the mask. The second model is based on FCN called U-Net with Encoder-Decoder architecture. …”
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NIRS as an alternative method for table grapes Seedlessness sorting by Chaorai Kanchanomai, Parichat Theanjumpol, Phonkrit Maniwara, Sila Kittiwachana, Sujitra Funsueb, Shintaroh Ohashi, Daruni Naphrom

“…Clear classification tendency can be obtained from SOMs. Good predictive results from SSOM were obtained, as it gave a percentage correctly classified of 97.14 and 94.64% for training and test sample sets, respectively.…”
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Bioinformatics and Expression Profiling of the DHHC-CRD S-Acyltransferases Reveal Their Roles in Growth and Stress Response in Woodland Strawberry (<i>Fragaria vesca</i>) by Si Gu, Xinghua Nie, Amal George, Kyle Tyler, Yu Xing, Ling Qin, Baoxiu Qi

“…A complementation assay in yeast PAT mutant <i>akr1</i> and auto-S-acylation assay of one FvPAT (FvPAT19) confirmed its enzyme activity where the Cys in the DHHC motif was required. An AlphaFold prediction of the DHHC and the mutated DHHC155S of FvPAT19 provided further proof of the importance of C155 in fatty acid binding. …”
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Forty-two-year frequencies of river buffaloes calving in the Terecay ranch, Venezuela by Renny Jesús Becerra, Inés Valentina Reggeti-Gómez, Francisco Miguel Reggeti Gómez, Néstor Simón Montiel-Urdaneta

“…For calculating calving frequency, the PROC FREC procedure of the statistical package SAS version 9.1 was used, and a polynomial regression analysis was performed to evaluate the prediction of future behavior of the calving distribution. …”
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Residual analysis for the identification of potential mid-infrared-derived biomarkers of heat stress in dairy cattle by Pauline Lemal, Clément Grelet, Frédéric Dehareng, Hélène Soyeurt, Martine Schroyen, Nicolas Gengler

“…ABSTRACT: Numerous prediction equations have been developed based on mid-infrared (MIR) spectra, and some could be potentially used as biomarkers of heat stress. …”
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Predictors of non-response to successive waves of surveys in the Japan Environment and Children’s Study during the 3-year postpartum period: a longitudinal cohort study by Mika Kigawa, Akiko Tsuchida, Tomomi Tanaka, Kei Hamazaki, Yuichi Adachi, Hidekuni Inadera, Kenta Matsumura, Haruka Kasamatsu

“…The strength of the impact of related factors and the prediction of response status were examined and compared using binominal logistic regression analysis.Results For all six follow-up questionnaire surveys, higher maternal age was strongly associated with providing a response. …”
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Proactive Maintenance and Data-Driven Optimization of Mineral Lubricating Oil in a Gas Engine Cogeneration System Extending Oil Change Intervals for Cost Savings and a Reduced Envi... by Krzysztof Pytel, Roman Filipek, Adam Kalwar, Małgorzata Piaskowska-Silarska, Wiktor Hudy, Jana Depešová, Franciszek Kurdziel

“…Data obtained from SCADA (Supervisory Control and Data Acquisition) systems and laboratory analysis were utilized to establish oil quality criteria, enabling the prediction of oil degradation and optimization of oil change intervals. …”
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Molecular correlates for HPV-negative head and neck cancer engraftment prognosticate patient outcomes by Matthew Waas, Christina Karamboulas, Benson Z. Wu, Shahbaz Khan, Stephanie Poon, Jalna Meens, Meinusha Govindarajan, Amanda Khoo, Salvador Mejia-Guerrero, Annie Ha, Lydia Y. Liu, Kevin C. J. Nixon, Joseph Walton, Scott V. Bratman, Shao Hui Huang, David Goldstein, Federico Gaiti, Laurie Ailles, Thomas Kislinger

“…Strikingly, these markers significantly improve prediction of outcomes beyond nodal status alone and can significantly stratify patients without any nodal involvement. …”
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MRI-based intratumoral and peritumoral radiomics for assessing deep myometrial invasion in patients with early-stage endometrioid adenocarcinoma by Jing Yang, Yang Liu, Xiaolong Liu, Yaoxin Wang, Xianhong Wang, Conghui Ai, Qiu Bi, Ying Zhao

“…The integrated models are of little value in increasing the prediction.…”
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WeiFu: A Novel Pan-Cancer Driver Gene Identification Method Using Incidence-Weighted Mutation Scores by Yanjie Ren, Azlan Mohd Zain, Yan Zhang, Rozita Abdul Jalil, Mahadi Bahari, Norfadzlan Bin Yusup, Mazlina Abdul Majid, Azurah A. Samah, Didik Dwi Prasetya, Nurhafizah Moziyana Mohd Yusop

“…Evaluation results on an integrated pan-cancer dataset comprising 29 different cancer types demonstrate that WeiFu significantly outperforms current well-known approaches in prediction accuracy, sensitivity, and specificity. Notably, WeiFu recovers 277 known cancer genes among the top 500 ranked candidates and successfully identifies potential driver genes supported by strong evidence. …”
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Machine Learning in the Management of Patients Undergoing Catheter Ablation for Atrial Fibrillation: Scoping Review by Aijing Luo, Wei Chen, Hongtao Zhu, Wenzhao Xie, Xi Chen, Zhenjiang Liu, Zirui Xin

“…ResultsThe analysis of 23 included studies showcased the contributions of ML in identifying potential ablation targets, improving ablation strategies, and predicting patient prognosis. The patient data used in these studies comprised demographics, clinical characteristics, various types of imaging (9/23, 39%), and electrophysiological signals (7/23, 30%). …”
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Validation of an MPS-based intestinal cell culture model for the evaluation of drug-induced toxicity by Stefanie Hoffmann, Philip Hewitt, Isabel Koscielski, Dorota Kurek, Wouter Strijker, Kinga Kosim

“…With the development of advanced microphysiological systems (MPS) more in vivo like conditions can be generated which increase the physiological nature and also the predictive validity of these models. Caco-2 cells are known for their capability to build tight junctions. …”
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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

“…Additionally, we introduce a spatially-constrained loss function that mitigates gradient stability issues by considering the distance between label and prediction boundaries. We rigorously evaluated SSR-UNet on the ISIC2017 and ISIC2018 skin lesion segmentation benchmarks. …”
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The potential of Curcuma longa L. bioactive compounds as RSK inhibitors for the treatment of prostate cancer: in silico study by Olusola Olalekan Elekofehinti, Foluso Adeola Taiwo, Moses Orimoloye Akinjiyan, Ifeoluwa Rachael Adetoyi, Folasade Oluwatobiloba Ayodeji, Adedotun Olayemi Oluwatuyi, Oluwapelumi Nifesimi Akintoye, Idayat Oyinkansola Kehinde, Bolanle Esther Adedapo, Opeyemi Iwaloye

“…These hit compounds after ADMET prediction do not violate Lipinski's rule of five. Conclusion The work suggested that turmeric phytocompounds are effective RSK inhibitors for prostate cancer treatment. …”
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Pendekatan Ensemble untuk Analisis Sentimen Covid19 Menggunakan Pengklasifikasi Soft Voting by Nova Agustina, Candra Nur Ihsan

“…The application of the ensemble method increases the accuracy of the model for sentiment prediction by up to 91%. …”
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