Application of artificial neural networks in the prediction of sugarcane juice Pol by Anderson P. Coelho, João V. T. Bettiol, Alexandre B. Dalri, João A. Fischer Filho, Rogério T. de Faria, Luiz F. Palaretti

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Pre-Routing Slack Prediction Based on Graph Attention Network by Jinke Li, Jiahui Hu, Yue Wu, Xiaoyan Yang

“…Subsequently, inspired by the Nonlinear Delay Model (NLDM), the node embeddings are propagated through multiple levels by alternately applying net propagation layers and cell propagation layers. Evaluated on 21 real circuits, the framework achieved a 16.62% improvement in average <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> score for slack prediction and a 15.55% reduction in runtime compared to the state-of-the-art (SOTA) method.…”
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Heart disease prediction using autoencoder and DenseNet architecture by Norah Saleh Alghamdi, Mohammed Zakariah, Achyut Shankar, Wattana Viriyasitavat

“…Heart disease continues to be a prominent cause of death globally, emphasizing the critical requirement for precise prediction techniques and prompt therapies. This research presents a new method that utilizes the collective capabilities of autoencoder and DenseNet architectures to predict heart illness. …”
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Prediction of high-risk pregnancy based on machine learning algorithms by Xinyu Pi, Junzhi Wang, Liangliang Chu, Guochun Zhang, Wenli Zhang

“…By applying the MLP method, the study successfully established an efficient pregnancy risk prediction model. …”
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Liver Segment Disposition of Hepatocellular Carcinoma Predicts Microvascular Invasion by Arnold Nongmoh Forlemu, Raissa Nana Sede Mbakop, Praneeth Bandaru, Vijay Gayam, Hamsika Moparty, Tomoki Sempokuya, Faruq Pradhan, Madhavi Reddy, Marco Olivera

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Predicting carbon peak at the provincial level using deep learning by Xiaoyan Tang, Kunsheng Fang

“…The framework involves identifying the critical emission sources and their primary contribution sectors using the LASSO regression method, predicting the CO _2 emissions of critical sources using recurrent neural networks, and exploring mitigation schemes using scenario analysis. …”
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Suicide risk prediction for Korean adolescents based on machine learning by Haitao Wang, Han Yuan, Yunong Zhang, Qixuan Wang, Zeng Gao, Mujuan Zhao

“…Both the Expert Consultation Method (ECM) and Random Forest-Based Filter Feature Selection (RFFS) datasets revealed that the GBM model achieved the best results, with a predictive accuracy (ACC) of 88%, sensitivity (SENS) of 97%, specificity (SPEC) of 26%, positive predictive value (PPV) of 90%, negative predictive value (NPV) of 56%, and an area under the curve (AUC) of 83%. …”
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Performance of EncephalApp Stroop Test in Cirrhotic Patients for Evaluating Covert Hepatic Encephalopathy by Juferdy Kurniawan, Stefanus Satrio Ranty, Andri Sanityoso Sulaiman, Rino Alvani Gani

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Hidden challenges in evaluating spillover risk of zoonotic viruses using machine learning models by Junna Kawasaki, Tadaki Suzuki, Michiaki Hamada

“…However, the lack of comprehensive datasets for viral infectivity poses a major challenge, limiting the predictable range of viruses. Methods In this study, we address this limitation through two key strategies: constructing expansive datasets across 26 viral families and developing the BERT-infect model, which leverages large language models pre-trained on extensive nucleotide sequences. …”
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Hot Topics and Directions of Human Resource Analytics Based on a Hybrid Method (Bibliometric Analysis, Fuzzy Delphi Method and SWARA) by Mona Kardani Malekinezhad, Fariborz Rahimnia, GHasem Eslami, Mohammad Mahdi Farahi

“…Therefore, the present study utilized a hybrid method based on bibliometric analysis (co-word analysis), Fuzzy Delphi, and SWARA (Step-Wise Weight Assessment Ratio Analysis) and evaluated 87 articles from the Scopus database. …”
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Predictive analysis of clinical features for HPV status in oropharynx squamous cell carcinoma: A machine learning approach with explainability by Emily Diaz Badilla, Ignasi Cos, Claudio Sampieri, Berta Alegre, Isabel Vilaseca, Simone Balocco, Petia Radeva

“…This study aims to provide a comprehensive method based on pre-treatment clinical data for predicting the patient’s HPV status over a large OPSCC patient cohort and employing explainability techniques to interpret the significance and effects of the features. …”
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Modified Test Kit for Detecting Polar Compounds and Evaluating Their Distribution in Reused Frying Oil by Rapeepan Yongyod, Anusak Kerdsin

“…The modified test kit was evaluated using six types of oils, which were heated and tested against a standard method with 100 samples. …”
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Personalised Medicine in Cervical Cancer: Evaluating Therapy Resistance Through Multi‐Model Approaches by Madré Meyer, Carla Eksteen, Cayleigh deSousa, Nireshni Chellan, Ruzayda Van Aarde, Meenal Bhaga, Johann Riedemann, Matthys H. Botha, Frederick H. van derMerwe, Anna‐Mart Engelbrecht

“…Resistance is frequently associated with therapy‐induced cellular senescence, underscoring the need for more personalised treatment strategies tailored to individual patient profiles. Methods and Materials This study aimed to assess ex vivo methods' utility in predicting patient‐specific therapy responses. …”
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Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms by Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Nauman Ali Larik

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Evaluating the Impact of Frequency Decomposition Techniques on LSTM-Based Household Energy Consumption Forecasting by Maissa Taktak, Faouzi Derbel

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Machine-learning synergy in high-entropy alloys: A review by Sally Elkatatny, Walaa Abd-Elaziem, Tamer A. Sebaey, Moustafa A. Darwish, Atef Hamada

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Useful Biomarkers for Preeclampsia: Evaluating the Diagnostic Potential of FIB-4 and FIB-5 Indices by Mehmet Albayrak, Hilmi Furkan Arslan

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Risk prediction model of physical frailty for a rural older population: a cross-sectional study in Hunan Province, China by Xiuyan Guo, Chunhong Shi

“…This study investigated the risk variables among rural older adults in Hunan Province, China, and developed a physical frailty prediction model to inform policymaking to enhance their health and well-being.MethodsThis study was conducted from July 22 to September 3, 2022. …”
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Changes of b2-microglobulin and electrolytes in different stages of COPD and their value in evaluating prognosis by Wang Lin, Yi Rong, Wei Lanlan, Xiong Jiali

“…Prognostic accuracy was significantly enhanced when b2-microglobulin and electrolyte levels were analyzed together, offering a superior method for predicting patient outcomes.…”
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Ultrasonographic and Radiographic Evaluation of Osteoarthritic Changes in the Temporomandibular Joint by Didem Dumanlı, Çiğdem Şeker

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