Heart Rate Variability Analysis in Congestive Heart Failure: The Need for Standardized Assessment Protocols by Monika Míková, David Pospíšil, Jan Řehoř, Marek Malik

“…HRV does not provide a clinically useful prediction of sudden cardiac death or other cardiac events in CHF patients. …”
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Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Met... by Amir Moslemi, Laurentius Oscar Osapoetra, Archya Dasgupta, Schontal Halstead, David Alberico, Maureen Trudeau, Sonal Gandhi, Andrea Eisen, Frances Wright, Nicole Look-Hong, Belinda Curpen, Michael Kolios, Gregory J. Czarnota

“…Materials and Methods: A total of 851 textural biomarkers were determined from CT images and their wavelet coefficients for 117 patients with LABC to evaluate the response to NAC. …”
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Advanced Computational Methods for Mitigating Shock and Vibration Hazards in Deep Mines Gas Outburst Prediction Using SVM Optimized by Grey Relational Analysis and APSO Algorithm by Xiang Wu, Zhen Yang, Dongdong Wu

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Identification Methods of Tumor Tissue Origin Based on Different STR Typing Kits by WU Li-ming, CHEN An-qi, ZHANG Su-hua, LI Cheng-tao

“…ObjectiveTo establish the identification method of tumor tissue origin based on commonly used STR typing kits.MethodsForenSeqTM DNA Signature Prep kit was used to detect the typing of 27 autosomal STR loci in 55 paired tumor tissue samples （tumor tissue paired with normal tissue of the same individual） and 75 unrelated individual whole blood samples. …”
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Evaluation of performance and statistical analysis of rigid pavement incorporating recycled aggregate concrete through the BBD methodology by Karuppasamy S, Ganapathi Malarvizhi

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Artificial intelligence for determining learning strategies in university students by Ángel Ramón Sabando-García, Cynthia Michel Olguín-Martínez, Raul Marcelo Benavides-Lara, Teresa Irina Salazar-Echeagaray, Eduardo Alfonso Huerta-Mora, Bibian Bibeca Bumbila-García, Lizandro Agustín Cedeño-Barcia, Jenniffer Sobeida Moreira-Choez

“…In this context, the objective of this study was to determine the learning strategies of students at the Pontifical Catholic University of Ecuador, Santo Domingo campus (PUCESD) using artificial intelligence.MethodsThe research followed a quantitative, correlational, and predictive approach, with a probabilistic sample of 162 students aged 17–24, of whom 29% were male and 71% female, from public, private religious, private secular, and semi-private institutions. …”
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Deep Learning Based 3D Visualization Health Condition Monitoring Method for Anchor Digging Machines by YANG Xueqi, GAO Xinqin, ZHENG Haiyang, YANG Jun

“…This study integrates deep learning and 3D visualization technology, designs a comprehensive health monitoring system framework, and proposes a health monitoring method for anchor digging machines.MethodsBased on deep learning, a data-driven remaining useful life (RUL) prediction method was proposed for key components of anchor digging machines. …”
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Arctic tern-optimized weighted feature regression system for predicting bridge scour depth by Jui-Sheng Chou, Asmare Molla

“…Comparative analyses against single AI models, conventional ensemble models, hybrid techniques, and empirical methods demonstrate that ATO-WFLSSVR's reliability outperforms others in performance evaluation metrics. …”
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An Evaluation of the Precision of Ocular Trauma Score and Factors for Poor Visual Outcomes in Open Globe Injury: A Retrospective Analysis of Resourcelimited Hospital Settings by Takarn Oughtkaew, Siwatus Puangrab

“… Objective: To evaluate the accuracy and validity of ocular trauma scores (OTS) among patients with open globe injury (OGI) in rural hospital settings and to identify the determinants predicting poor visual outcomes. …”
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Evaluation and analysis of risk factors for fractured vertebral recompression post-percutaneous kyphoplasty: a retrospective cohort study based on logistic regression analysis by YingLun Zhao, Bo Li, Lu Qian, XueMing Chen, YanHui Wang, LiBin Cui, Yuan Xin, Liang Liu

“…Objective To identify independent risk factors for postoperative recompression and develop predictive models for risk assessment. Methods We retrospectively analyzed 284 OVCF patients treated with PKP, grouped by recompression status. …”
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A new method for multi-factor capacity review of underground gas storage under complex geological conditions by HU Jun, YANG Jiakun, XU Hongcheng, ZHOU Dongliang, XU Feng, SHI Yuxia, ZHANG Siyuan, SONG Lina, PEI Gen, FAN Jiayi

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CARBOXYHEMOGLOBIN LEVELS IN PRETERM NEONATAL LATE-ONSET SEPSIS: TO PREDICT OR NOT TO PREDICT by GONCA VARDAR, Eren Ozek

“… Abstract Background: To evaluate carboxyhemoglobin (COHb) levels in diagnosing late-onset sepsis (LOS) in preterm neonates. …”
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Methodology Based on BERT (Bidirectional Encoder Representations from Transformers) to Improve Solar Irradiance Prediction of Deep Learning Models Trained with Time Series of Spati... by Llinet Benavides-Cesar, Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira

“…Accurate solar resource forecasting is important because of the inherent variability associated with solar energy and its significant impact on the cost for energy producers. The traditional method applied in solar irradiance forecasting involves two main phases, related to (1) data selection and (2) model selection, training, and evaluation. …”
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Sound quality control method of 110 kV transformer based on distributed variable stiffness dynamic vibration absorber by Cai Zeng, Xing Du, Songbo Guo, Jian Han, Xiaoqiong He, Xinbiao Xiao

“…To measure the actual impact of transformer noise on humans more effectively, this paper proposes to introduce the sound quality evaluation method into the evaluation of transformer noise. …”
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Machine learning based method for forecasting short-term passenger flow in urban rail stations by HU Mingwei, SHI Xiaolong, WU Wenlin, HE Guoqing

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Evaluating the efficacy of ultrasound-assisted extraction of Plantago major L. leaves by response surface methodology through determination of aucubin levels by Kurnia Rahayu Purnomo Sari, Zullies Ikawati, Retno Danarti, Nur Hasna Nafiisah, Triana Hertiani

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Quality of explanation in medical articles: A systematic review by Seyedeh Zahra Hashemi Nejad, Keyvan Salehi

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Evaluation of the structural models of the human reference proteome: AlphaFold2 versus ESMFold by Matteo Manfredi, Castrense Savojardo, Pier Luigi Martelli, Rita Casadio

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Evaluating subjective cognitive decline: a systematic review of tools available for evaluating cognitive complaints in Portuguese by Wyllians Vendramini BORELLI, Vanessa Nicola LABREA, Eduardo LEAL-CONCEICAO, Mirna Wetters PORTUGUEZ, Jaderson Costa da COSTA

“…Methods: Four databases (Web of Science, SciELO, LILACS and MEDLINE) were primarily utilized in this study (Phase 1). …”
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Explainable Ensemble Learning Model for Residual Strength Forecasting of Defective Pipelines by Hongbo Liu, Xiangzhao Meng

“…This approach resolves the issues of excessive iterations and high computational costs associated with conventional hyperparameter optimization methods, significantly enhancing the model’s predictive performance. …”
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