Identification of flood atmospheric patterns and simulation of rainfall to runoff conversion in Shiraz Watershed by Hamid Jorkesh, Mohammad Javad Amiri, Ahmad Nohegar

“…By recognizing the mechanisms and developing atmospheric patterns of flood generation, the first step can be taken in flood control; Also, by predicting the amount of runoff produced, how to deal with it can be identified. …”
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Structures, dynamics, and hydrogen-bond interactions of antifreeze proteins in TIP4P/Ice water and their dependence on force fields. by Hwankyu Lee

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The effect of cell geometry on polarization in budding yeast. by Michael Trogdon, Brian Drawert, Carlos Gomez, Samhita P Banavar, Tau-Mu Yi, Otger Campàs, Linda R Petzold

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Optimizing Superior Seed Bunches: A New Approach to Artificial Pollination with Machine Learning Models by Yabani Yabani, Retna Astuti Kuswardani

“…The K-means clustering algorithm is applied to group data based on similarities in key variables. …”
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Polypharmacy driven synergistic toxicities in elderly breast cancer chemotherapy drug management and adverse drug reactions: a mini review by Xiran Wang, Xiran Wang, Jin Yang, Jin Yang, Jieying Zhang, Jieying Zhang, Hong Yang, Hong Yang

“…Pharmacist-led reconciliation coupled with algorithmic deprescribing removes ≥1 potentially inappropriate medication in 80% of elders, while electronic rPDDI alerting and DPYD/CYP2D6 genotyping halve severe events without sacrificing efficacy. …”
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High resolution human leukocyte antigen class I allele frequencies and HIV-1 infection associations in Chinese Han and Uyghur cohorts. by Yanhou Liu, Zhongfang Zhao, Tianyi Li, Qi Liao, Nicholas Kushner, Neal Y Touzjian, Yiming Shao, Yongtao Sun, Amie J Strong, Yichen Lu

“…We observed statistically significant increases in expectation-maximization (EM) algorithm predicted haplotype frequencies of HLA-A*0201-B*5101 in the Uyghur HIV-1 negative group, and of Cw*0304-B*4001 in the Han HIV-1 negative group. …”
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Protocol for the impact of machine learning-based clinician decision support algorithims in perioperative care (IMAGINATIVE) in Singapore general hospital : a large prospective ran... by Marcus Ong, Hairil Rizal Abdullah, Ecosse Lamoureux, Elaine Lum, Gek Hsiang Lim, Tan Pei Yi Brenda, Celestine Loh

“…In Singapore General Hospital (SGH), we introduced the Combined Assessment of Risk Encountered in Surgery-Machine Learning (CARES-ML) in June 2023, focusing on predicting 30-day postoperative mortality and the need for post-surgery intensive care unit (ICU) stays. …”
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Practical Recommendations for Artificial Intelligence and Machine Learning in Antimicrobial Stewardship for Africa by Tafadzwa Dzinamarira, Elliot Mbunge, Claire Steiner, Enos Moyo, Adewale Akinjeji, Kaunda Yamba, Loveday Mwila, Claude Mambo Muvunyi

“…The deployment of AI‐driven solutions presents unprecedented opportunities for optimizing treatment regimens, predicting resistance patterns, and improving clinical workflows. …”
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Prevalence, types, risk factors and clinical correlates of anaemia in older people in a rural Ugandan population. by Joseph O Mugisha, Kathy Baisley, Gershim Asiki, Janet Seeley, Hannah Kuper

“…Further studies should be done on unexplained anaemia and serum ferritin levels that predict iron deficiency anaemia in older people.…”
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Research on the Construction of Event Evolutionary Graph for Urban Rail Transit Train Operation and Maintenance Safety by FAN Qianqi, ZUO Jianyong, GONG Ming, JIA Bo, LI Zhengjiang

“…［Result & Conclusion］ Traditional fault analysis based on mathematical statistics and risk analysis relying on manual experience have certain limitations in terms of predictability, comprehensiveness, and timeliness. The complete path from theory to application of event evolutionary graph in operation and maintenance risk management is presented, and a comprehensive methodology for data analysis and visual representation is realized. …”
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Mapping of cotton bolls and branches with high-granularity through point cloud segmentation by Lizhi Jiang, Javier Rodriguez-Sanchez, John L. Snider, Peng W. Chee, Longsheng Fu, Changying Li

“…For the first time, this study accomplished high-granularity spatial mapping of cotton bolls and branches, but directly predicting fiber quality from 3D point clouds remains a challenge. …”
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Identification and validation of a thirteen-gene signature based on ubiquitin related genes in cervical cancer by Wenxiu Ding, Shu Liu, Huiai Zhang, Hongxia Ding, Shaobing Zhou, Hongxun Ye

“…Conclusion This study successfully established and validated a novel 13-gene signature, a valuable marker for predicting cervical cancer patient survival.…”
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INCREASED LEVEL OF MIR-204-5P EXPRESSION IN MELANOMA CELLS UNDER THE INFLUENCE OF DACARBAZINE by S. N. Lavrentiev, M. B. Aksenenko, A. S. Averchuk, A. V. Komina, N. V. Palkina, T. G. Ruksha

“…Further studies are required to understand the metastasis development and predict the response to antitumor therapy for melanoma.…”
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Simulation model for determining the rational dimensions of the irreducible reserve of locomotives at the stations of its turnover by E. A. Sotnikov, M. M. Gonik, S. V. Khomyakov, S. V. Mikhaylov

“…To solve this problem, a mathematical model of train operation has been developed on locomotive circulation areas, taking into account the daily fluctuations of train traffic, possible deviations in predicting composition formation and other factors. …”
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Decision-making power enhances investors’ neural processing of persuasive message in partnership investment by Jianbiao Li, Peikun Chen, Jingjing Pan, Chengkang Zhu

“…Furthermore, using a support vector machine (SVM) algorithm, the INS could accurately predict receivers’ adoption of persuasive messages when they held dominant decision-making power. …”
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Application of Remote Sensing and GIS in Monitoring Forest Cover Changes in Vietnam Based on Natural Zoning by An Nguyen, Vasily Kovyazin, Cong Pham

“…The study’s reliability was confirmed by a Kappa coefficient of 0.81–0.89. To predict forest cover changes, two methods—the CA-Markov model and the MOLUSCE module—were compared. …”
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MonoAMP: Adaptive Multi-Order Perceptual Aggregation for Monocular 3D Vehicle Detection by Xiaoxi Hu, Tao Chen, Wentao Zhang, Guangyi Ji, Hongxia Jia

“…Thus, we propose MonoAMP, an adaptive multi-order perceptual aggregation algorithm for monocular 3D object detection. We first introduce triplet attention to enhance the interaction of cross-dimensional feature attention. …”
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Wear analysis and optimization of nanoclay and copper coated carbon fiber strengthened hybrid aluminium composite by N. Senthilkumar, K. Gajalakshmi, K. Palanikumar, B. Deepanraj, Abdul Rahman Afzal

“…The ANOVA reveals that sliding speed was the most significant factor, contributing 74.88 % to the grey relational grade (GRG), 10.09 % to the nanoclay reinforcement, and 8.32 % to the axial load, with an R2 value of 95.21 %. The predicted GRG (0.973) lies within the computed confidence interval (CI) values of 0.790 and 1.156. …”
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Data‐driven designing on mechanical properties of biodegradable wrought zinc alloys by Zongqing Hu, Shaojie Li, Jianfeng Jin, Yuping Ren, Rui Hou, Lei Yang, Gaowu Qin

“…Machine learning models were applied to predict mechanical properties, in which random forest (RF) model exhibited the best performance and further validated by a new experimental sample of Zn‐0.05Mg‐0.5Mn, with the mean absolute percentage error (MAPE) less than 10%. …”
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Lightweight CNN-based seizure classification via leveraging chimera states in iEEG recordings by Fatemeh Azad, Saeed Bagheri Shouraki, Soheila Nazari, Mansun Chan

“…These states provide a potential tool for predicting and detecting epileptic seizures. Effective detection and classification of chimera states in intracranial electroencephalography (iEEG) signals are critical for improving patient outcomes and deepening our understanding of neurological disorders. …”
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