METHODS OF EVALUATION OF THE FUNCTIONAL STATUS OF THE LIVER IN THE PLANNING OF ANATOMICAL RESECTIONS ABOUT PRIMARY AND METASTATIC TUMORS: CURRENT STATE OF THE PROBLEM, THEIR OWN EX... by D. V. Sidorov, N. A. Rubtsova, A. V. Leontyev, M. V. Lozhkin, L. O. Petrov, T. N. Lazutina, I. V. Pylova, P. A. Korolev, A. G. Isaeva

“…The aim of this study was to compare future remnant liver function assessed by 99mTc-technephyt dynamic hepatobiliary scintigraphy with results of methacetin breath test in the prediction of liver failure after major liver resection. …”
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Calculation of ternary Si-Fe-Al phase equilibrium in vacuum distillation by molecular interaction volume model by Liu K., Wu J.J., Ma W.H., Yang B., Yang X., Kong L.X., Zeng X.F., Dai Y.N.

“…A significant advantage of the model lies in its ability to predict the thermodynamic properties of liquid alloys using only binary infinite dilution activity coefficients. …”
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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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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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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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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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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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GPX3 as a Novel and Potential Therapeutic Target in the Shared Molecular Mechanisms of Traumatic Brain Injury and Parkinson’s Disease by Wang Y, Fang J, Yuan Q, Yu J, Hu J

“…Further analyses, including GO and KEGG pathway enrichment, protein-protein interaction (PPI) network construction, hub gene identification, as well as miRNA and transcription factor prediction and drug candidate screening, were conducted. …”
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Chromosome-level genome assembly and annotation of largemouth bronze gudgeon (Coreius guichenoti) by Xuemei Li, Xingbing Wu, Yongjiu Zhu, Xiaoli Li, Zihao Meng, Nian Wei, Miao Xiang, Deguo Yang, Tingbing Zhu

“…Moreover, a total of 22,506 protein-coding genes were predicted with average intron length of 2293 bp. Evolutionary analysis and divergence time prediction revealed that C. guichenoti was closely related to C. heterodon and they phylogenetically diverged from common ancestor ~20.7 million years ago (Mya), following the separation of Cyprinidae at 28.3 Mya. …”
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A novel regional forecastable multiscalar standardized drought index (RFMSDI) for regional drought monitoring and assessment by Aamina Batool, Veysi Kartal, Zulfiqar Ali, Miklas Scholz, Farman Ali

“…FCA reduce dimension by focus on components that are inherently more predictable. It ensures that reduced data has a built-in ability to predict future trends by selecting the maximized forecastable components. …”
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Taming of trinitromethyl-oxadiazole to access high density and high oxygen balance via a dual modulation strategy by Jinya Zhang, Teng Fei, Jingwei Meng, Jinxiong Cai, Lei Zhang, Siping Pang, Chunlin He

“…Notably, practical crystal morphology prediction was creatively introduced to guide the experimental crystallization conditions of 3, increasing the impact sensitivity and friction sensitivity from 1 J to 80 N (3-a) to 10 J and 240 N (3-b), respectively. …”
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Clinical validation of a biopsy‐based six‐gene signature prognostic for aggressive prostate cancer by Agnieszka Krzyzanowska, Debra F. Higgins, Stephen Barron, Tony Loughman, Amanda O'Neill, Katherine M. Sheehan, Chan‐Ju Angel Wang, Bozena Fender, Leah McGuire, Joanna Fay, Anthony O'Grady, Des O'Leary, R. William Watson, Anders Bjartell, William M. Gallagher

“…Abstract Objectives This study aimed to clinically validate the six‐gene prognostic molecular clinical risk score (MCRS) for the prediction of aggressive prostate cancer in diagnostic biopsy tissue. …”
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