Potential Metabolic Markers in the Tongue Coating of Chronic Gastritis Patients for Distinguishing Between Cold Dampness Pattern and Damp Heat Pattern in Traditional Chinese Medici... by Yuan S, Zhang R, Zhu Z, Zhou X, Zhang H, Li X, Hao Y

“…The model quality was evaluated by 7-fold cross-validation, and the model validity was evaluated based on R²Y (interpretability of categorical variable Y) and Q² (predictability of the model), and the permutation test was used for further verification. …”
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Novel computational One-Health analysis of fibrinogen-binding protein A in Streptococcus agalactiae Isolated from fish and human cases by Rifaldi Iqbal Yadiansyah, Endang Linirin Widiastuti, Wawan Abdullah Setiawan, Favorisen Rosyking Lumbanraja, Rifky Rizkiantino

“…Three-dimensional structures were predicted through ColabFold and validated using Ramachandran plots. …”
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Klasifikasi Kinerja Akademik Siswa Menggunakan Neighbor Weighted K-Nearest Neighbor dengan Seleksi Fitur Information Gain by Rizky Adinda Azizah, Fitra Bachtiar, Sigit Adinugroho

“…Neighbor Weighted K-Nearest Neighbor algorithm with Information Gain method will be applied to this study to help predict student performance. …”
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Development of policy research-evidence organizer and public health-policy evaluation tool (prophet): a computing paradigm for promoting evidence-informed policymaking in Nigeria by Kingsley Otubo Igboji, Chigozie Jesse Uneke, Fergus U. Onu, Onyedikachi Chukwu

“…It strategically evaluates and assess level of evidence content, and predict implementation prospects of health policy documents.…”
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Loneliness, insomnia symptoms, social jetlag, and vitamin D deficiency in relation to mental health problems in Japanese female university students: a cross-sectional study by Nodoka Yamashita, Shioka Ishii, Yoriko Kotoku, Takuya Shuo, Hiromi Eto, Hideaki Kondo

“…Loneliness was assessed using the Three-Item Loneliness Scale. Factors predicting mental health problems with a K6 score ≥ 5 were explored using the Mann–Whitney U test, Fisher’s exact probability test, and classification and regression tree (CART) analysis. …”
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Clinical portrait of an "ordinary" patient with benign prostatic hyperplasia and the efficacy of treating lower urinary tract symptoms by V. L. Medvedev, M. E. Efremov, P. V. Shornikov, D. S. Isayeva

“…Indicators of IPSS, Q max and PVR after 3 months of therapy allow predicting the effectiveness of therapy, or suspect the need for surgical treatment.…”
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Modeling the cooling effect of urban green infrastructures with an ecosystem services approach ( case study: Tehran metropolis) by S. Malekzadeh, H.R. Jafari, R. Nazari, T. Blaschke, A. Hof, M. Karimi

“…An additional reduction of 66 hectares is predicted over the next decade. The Urban Heat Mitigation Index was highest in the green District 22 with values of 0.91, 0.79, and 0.66, respectively, and lowest in District 10 with values of 0.22, 0.21, and 0.19. …”
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Identification and Validation of Key Genes Related to Lipophagy in Osteoporosis by Hu YX, Zuo ML, Wu Y, Yang Y, Shi XB, Zhang Q, Wu J, Xie RQ, Bi Y, Lin B, Mo C

“…In addition, we constructed a nomogram to predict the incidence of OP patients. Subsequently, multiple bioinformatics tools were used to reveal the associations between key genes and OP. …”
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Comparative estimation of the effectiveness of the Khorana, Vienna CATS, and TiC-Onco scores and the vWF/ADAMTS13 ratio in identifying a high risk of thrombotic complications in pa... by A. V. Vorobеv, A. G. Solopova, V. O. Bitsadze, M. M. Baeva, M. E. Sosnyagova, V. N. Galkin, D. O. Utkin, A. D. Makatsariya

“…The Khorana, Vienna CATS, and TiC-Onco scores demonstrate moderate accuracy in predicting thrombosis in cancer patients, partly due to their inability to consider the individual characteristics of endothelial dysfunction and/or overestimation of the impact of “silent” genetic mutations. …”
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Post-hoc Evaluation of Sample Size in a Regional Digital Soil Mapping Project by Daniel D. Saurette, Richard J. Heck, Adam W. Gillespie, Aaron A. Berg, Asim Biswas

“…Furthermore, the comparison of the optimal maps to the reference maps showed little difference in the global statistics (concordance correlation coefficient and root mean square error) and spatial trends of the data, confirming that the optimal sample size was sufficient for creating predictions of similar accuracy to the full calibration dataset. …”
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Dedicated homeless clinics reduce inappropriate emergency department utilization by Chad T. Holmes, Katherine A. Holmes, Andrew MacDonald, Frank R. Lonergan, Joel J. Hunt, Sajid Shaikh, Radhika Cheeti, James P. D'Etienne, Nestor R. Zenarosa, Hao Wang

“…The New York University algorithm was used to determine appropriate ED utilization. …”
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Development and validation of a prognostic staging system for primary plasma cell leukemia by Mengru Tian, Gang An, Weijun Fu, Wenqiang Yan, Lu Li, Chunyan Sun, Zhenyu Li, Lijuan Chen, Aijun Liao, Guangxun Gao, Xiaoqi Qin, Mengyao Li, Chunrui Li, Hua Xue, Li Gao, Yi Wang, Aili He, Fan Zhou, Dongmei Guo, Yujun Dong, Zhihong Fang, Xiaoxia Chu, Jianqing Mi, Chengcheng Fu, Hui Zeng, Shuling Hou, Xiaotao Wang, Hua Wang, Yongqiang Wei, Xinyue Liang, Xingcheng Yi, Yue Sun, Lugui Qiu, Yun Dai, Fengyan Jin

“…Univariate and multivariate analyses were conducted to identify variables predicting overall survival (OS) to develop a staging system. …”
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Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping by Oluwatobi Emmanuel Dare, Kennedy Okokpujie, Emmanuel Adetiba, Olabode Idowu-Bismark, Abdultaofeek Abayomi, Raymond Jules Kala, Emmanuel Owolabi, Udeme Christopher Ukpong

“…This low deviation means that the proposed CGAN REM model possesses an improved accuracy in predicting the spectrum activities within the television spectrum which is considered appropriate for DSS technology. …”
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Disturbance types play a key role in post-disturbance vegetation recovery in boreal forests of Northeast China by Yue Yu, Zhihua Liu, Wenjuan Wang, Wenru Xu, Qiushuang Lv, Kaili Li, Wenhua Guo, Lei Fang, Qinglong Zhang, Zhiwei Wu, Bo Liu

“…Understanding the patterns and effects of disturbances is important to predict post-disturbance vegetation recovery trajectories and inform adaptive recovery strategies. …”
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Bundled assessment to replace on-road test on driving function in stroke patients: a binary classification model via random forest by Lu Huang, Lu Huang, Xin Liu, Jiang Yi, Yu-Wei Jiao, Tian-Qi Zhang, Guang-Yao Zhu, Shu-Yue Yu, Zhong-Liang Liu, Min Gao, Xiao-Qin Duan

“…Furthermore, the established random forest classification model has demonstrated efficacy in predicting on-road test outcomes, which is worthy of further clinical application.…”
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Telomerase inhibiting phytochemicals derived from Blumea eriantha for cancer treatment: A comprehensive computational analysis by Rahil Ummar Faruk Abbu, Shaik Mohammad Abdul Fayaz, Divyashree M S, Raghu Chandrashekhar H, Prasanna Kumar Reddy Gayam, Archana Mahadev Rao

“…To further assess the interaction and stability of these phytochemicals and predict their behavior in a biological environment when targeting telomerase, we conducted molecular dynamic simulations using Desmond–Schrödinger. …”
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Mapping recent timber harvest activity in a temperate forest using single date airborne LiDAR surveys and machine learning: lessons for conservation planning by G. Burch Fisher, Andrew J. Elmore, Matthew C. Fitzpatrick, Darin J. McNeil, Jeff W. Atkins, Jeffery L. Larkin

“…This study provides a framework and validation for combining approachable machine-learning techniques with large-campaign LiDAR to accurately predict forest structure with application to a host of forestry, natural resource, and conservation-related problems. …”
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Permeability evolution of the thick Cretaceous aquifer and the high-level bed separation water accumulation model during coal mining by Wei QIAO, Xiangsheng MENG, Juan YANG, Liangang LI, Qijing LIANG, Mengnan LIU, Zhihe TAO, Changmin HAN, Weiteng KONG

“…The proposed aquifer permeability evolution-bed separation water accumulation model provides a research framework for predicting and analyzing the accumulation rate and evolution of high-level bed separation water.…”
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Non-Luminal Disease Score for Everolimus in Patients with Hormone Receptor‑positive and Human Epidermal Growth Factor Receptor 2-Negative Advanced Breast Cancer: A Mult... by Tan Y, Jiang H, Tian X, Ma F, Wang J, Zhang P, Xu B, Fan Y, Zhao W

“…The correlation between the benefits of everolimus and NOLUS failed to develop significance, suggesting that NOLUS may not be applicable in predicting everolimus efficacy in patients with HR+/HER2- ABC. …”
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Comprehensive analyses of telomerase component DKC1 and its association with clinical, molecular and immune landscapes in uterine corpus endometrial carcinoma by Chenxi Sun, Xu Liu, Tiantian Liu, Chenliu Fan, Yang Jiang, Binggen Li, Huiyang Yuan, Chengyun Zheng, Dawei Xu

“…Higher DKC1 expression predicted shorter patient overall and progression-free survival. …”
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