Strategic optimization of engine performance and emissions with bio-hydrogenated diesel and biodiesel: A RVEA-GRNNs framework by Niti Klinkaew, Attasit Wiangkham, Atthaphon Ariyarit, Prasert Aengchuan, Anupap Pumpuang, Sarunporn Sripratum, Atthaphon Maneedaeng, Jiraphon Srisertpol, Ekarong Sukjit

“…The Generalized Regression Neural Networks model demonstrated high accuracy in predicting engine performance and emissions, with coefficient of determination (R2) values exceeding 0.98 and mean absolute percentage errors below 5 %. …”
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Directed disruption of IL2 aggregation and receptor binding sites produces designer biologics with enhanced specificity and improved production capacity by Amy Dashwood, Ntombizodwa Makuyana, Rob van der Kant, Arman Ghodsinia, Alvaro R. Hernandez, Stephanie Lienart, Oliver Burton, James Dooley, Magda Ali, Lubna Kouser, Francisco Naranjo, Matthew G. Holt, Frederic Rousseau, Joost Schymkowitz, Adrian Liston

“…Here we use SolubiS and dTANGO, computational algorithm-based methods, to predict mutations within the IL2 structure to improve protein production yield in muteins with altered cellular selectivity, to generate combined muteins with elevated therapeutic potential. …”
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Multi-omics analyses of the heterogenous immune microenvironment in triple-negative breast cancer implicate UQCRFS1 potentiates tumor progression by Yuhui Tang, Aiqi Xu, Zhongbiao Xu, Jindong Xie, Wei Huang, Liulu Zhang, Yitian Chen, Lu Yang, Shasha Du, Kun Wang

“…Particularly, IL32high Treg imparted an essential effect on tumor evasion and predicted a worsened prognosis of TNBC patients. Furthermore, MCI model enabled to notify the inferior prognosis and immunotherapy resistance in TNBC. …”
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A cloud-metaheuristic-based framework for stochastic optimization of a hybrid wind/hydrogen based-Fuel cell system in distribution network considering uncertainty by Ali S. Alghamdi

“…An improved Fire Hawks Optimization (IFHO) algorithm is utilized in solving the optimization problem by determining the optimal installation locations and sizes of HRES components. …”
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Preliminary evaluation of ShallowHRD performance compared to HRDetect in familial breast cancer tumors by Louise Adel Jensen, Caroline Hey Baekgaard, Mie Bohnensack Larsen, Susanne Eriksen Boonen, Anne Marie Bak Jylling, Zainab Hikmat, Qin Hao, Thomas van Overeem Hansen, Inge Søkilde Pedersen, Martin Jakob Larsen, Mads Thomassen

“…Abstract Determining the Homologous Recombination Deficiency (HRD)-status of a malignant tumor is central in predicting patient response to specific treatments. …”
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Serum Lipid Biomarkers for the Diagnosis and Monitoring of Neuromyelitis Optica Spectrum Disorder: Towards Improved Clinical Management by Li R, Wang J, Wang J, Xie W, Song P, Zhang J, Xu Y, Tian D, Wu L, Wang C

“…Additionally, a combination of these lipid biomarkers was found to predict relapse with the AUC of 0.861. A user-friendly smartphone application was developed to facilitate the straightforward “input-index, output-answer” screening process, enhancing both clinical decision-making and patient care.Conclusion: The diagnostic model based on the serum lipid-related indexes (TC, TG, LDL, HDL, ApoA1, and ApoB) may be the useful tool for NMOSD in diagnosis and monitoring of disease stage, thereby improving the treatment outcome for patients. …”
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Experimental Study on Compressive Capacity Behavior of Helical Anchors in Aeolian Sand and Optimization of Design Methods by Qingsheng Chen, Wei Liu, Linhe Li, Yijin Wu, Yi Zhang, Songzhao Qu, Yue Zhang, Fei Liu, Yonghua Guo

“…The compressive capacity of helical anchors constitutes a pivotal performance parameter in geotechnical design. To precisely predict the compressive bearing behavior of helical anchors in aeolian sand, this study integrates in situ testing with finite element numerical analysis to systematically elucidate the non-linear evolution of its load-bearing mechanisms. …”
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Immunotyping of thyroid cancer for clinical outcomes and implications by Jin Xu, Zhen Luo, Dayong Xu, Mujing Ke, Cheng Tan

“…Furthermore, the prognostic model’s utility in predicting immunotherapy response was analyzed. The potential therapeutic drugs were obtained. …”
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Simplification of the diagnostic approach and treatment of Hepatitis C Virus. by Clara C. Sanchez-Rodriguez, Ana M. Mendoza-Martínez, Héctor R. Sánchez-Nuncio, Jorge H. Luna-Domínguez

“…Fibrosis was calculated using the APRI algorithm, finding 53/130 with >1.5 and 60/130 with >3.25, which predicted F3-4. …”
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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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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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Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data by Qiuping Li, Hui Meng, Li Zhuo

“…Finally, the Q-learning algorithm is utilized to reconstruct vehicle travel paths between adjacent ALPR sensors based on the comprehensive reward function. …”
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An Update on Hepatorenal Syndrome by Samuel Chan, Kenneth Au, Ross Francis, David W Mudge, David W Johnson, Tony Rahman

“…HRS is associated with poor prognosis and represents the end-stage of a sequence of reductions in renal perfusion induced by progressively severe hepatic injury. …”
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Development of an accessible system to enhance driving instruction for individuals with hearing impairments by Diana Peralta, Giovanni Rafael Caicedo Escorcia, Adolfo Duarte Rueda

“…The project’s approach introduces innovative methodologies compared to those used in other countries, contributing to educational and inclusive advancement through technology. …”
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