Predictive Value of Direct Disk Diffusion Testing from Positive Blood Cultures for Detection of Antimicrobial Nonsusceptibility by Tammy Ting-Yan Wong, Chung-Ho Lee, Hester Wing-Sum Luk, Cindy Wing-Sze Tse, Pak-Leung Ho

“…Direct disk diffusion testing (dDDT), utilizing positive blood culture broth as an inoculum, provides results one day earlier than the standard method using bacterial colonies. This retrospective study evaluated the ability of dDDT to predict nonsusceptibility to commonly used antibiotics. …”
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Epidemiological and Clinical Baseline Characteristics as Predictive Biomarkers of Response to Anti-VEGF Treatment in Patients with Neovascular AMD by Miltiadis K. Tsilimbaris, Maria I. López-Gálvez, Roberto Gallego-Pinazo, Philippe Margaron, George N. Lambrou

“…To review the current literature investigating patient response to antivascular endothelial growth factor-A (VEGF) therapy in the treatment of neovascular age-related macular degeneration (nAMD) and to identify baseline characteristics that might predict response. Method. A literature search of the PubMed database was performed, using the keywords: AMD, anti-VEGF, biomarker, optical coherence tomography, treatment outcome, and predictor. …”
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Predictive Modeling of Long-Term Care Needs in Traumatic Brain Injury Patients Using Machine Learning by Tee-Tau Eric Nyam, Kuan-Chi Tu, Nai-Ching Chen, Che-Chuan Wang, Chung-Feng Liu, Ching-Lung Kuo, Jen-Chieh Liao

“…A total of 44 features were included, utilizing four machine learning models and various feature combinations based on clinical significance and Spearman correlation coefficients. Predictive performance was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve and validated with the DeLong test and SHAP (SHapley Additive exPlanations) analysis. …”
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Simultaneous Energy Optimization of Heating Systems by Multi-Zone Predictive Control—Application to a Residential Building by Rina Bitar, Nicolas Youssef, Julien Chamoin, Fadi Hage Chehade, Didier Defer

“…The research methodology uses dynamic thermal simulation, parallel predictive models based on multiple linear regressions, and a multi-objective non-dominated sorting genetic algorithm II (NSGA-II) for the optimization process, which evaluates various generated heating strategies. …”
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Predictive Modeling of soil salinity integrating remote sensing and soil variables: An ensembled deep learning approach by Sana Arshad, Jamil Hasan Kazmi, Endre Harsányi, Farheen Nazli, Waseem Hassan, Saima Shaikh, Main Al-Dalahmeh, Safwan Mohammed

“…Initially, Recursive Feature Elimination was implemented as a feature-selection method to select the most effective predictors. Subsequently, deep learning architectures, including a Feedforward Neural Network (FFNN), Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM), were employed to predict soil salinity. …”
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Novel Prognostic Methods for System Degradation Using LSTM by Waleed Bin Yousuf, Syed Muhammad Umar Talha, Abdul Ahad Abro, Sadique Ahmad, Syed Muhammad Daniyal, Naveed Ahmad, Abdelhamied Ashraf Ateya

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Detection of child depression using machine learning methods. by Umme Marzia Haque, Enamul Kabir, Rasheda Khanam

“…As a result, our objective is to 1) create a model that can predict depression in children and adolescents aged 4-17 years old, 2) evaluate the results of ML algorithms to determine which one outperforms the others and 3) associate with the related issues of family activities and socioeconomic difficulties that contribute to depression.…”
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Phylogenetic and functional assessment of orthologs inference projects and methods. by Adrian M Altenhoff, Christophe Dessimoz

“…We collected and mapped the results of nine leading orthology projects and methods (COG, KOG, Inparanoid, OrthoMCL, Ensembl Compara, Homologene, RoundUp, EggNOG, and OMA) and two standard methods (bidirectional best-hit and reciprocal smallest distance). …”
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Bridging spatiotemporal wildfire prediction and decision modeling using transformer networks and fuzzy inference systems by Parul Dubey, Pushkar Dubey

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Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction by Shweta Ashish Koparde, Sonali Kothari, Sharad Adsure, Kapil Netaji Vhatkar, Vinod V. Kimbahune

“…The proposed DRNN_FAOA model's ability to accurately predict influenza virus hosts suggests its 39 potential as a robust model in virus-host prediction.…”
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Liver Tumor Prediction using Attention-Guided Convolutional Neural Networks and Genomic Feature Analysis by S. Edwin Raja, J. Sutha, P. Elamparithi, K. Jaya Deepthi, S.D. Lalitha

“…The task of predicting liver tumors is critical as part of medical image analysis and genomics area since diagnosis and prognosis are important in making correct medical decisions. …”
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THE RISKS IN THE GOLD MINING INDUSTRY: CLASSIFICATION, METHODS OF IDENTIFICATION by V. M. Zaernyuk, N. O. Snitko

“…The paper substantiates the necessity of using not only the economical and statistical methods of the risk evaluation, but also heuristic and simulation methods for the proper characteristic of the gold production and economic processes. …”
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SVD-Based Evaluation of Multiplexing in Multipinhole SPECT Systems by Aaron K. Jorgensen, Gengsheng L. Zeng

“…The development of an objective evaluation method that is not based on experimentation would facilitate the optimization of multipinhole systems. …”
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Using Computational Methods for Persian Collocations Identification and Extraction by Zainabolhoda Heshmati, Mina Maleki Vika, Mahmood Bijankhan, Hadi Veisi

“…The results are then evaluated using several methods. Also, by fine-tuning ParsBert, the call of this language model is calculated using a thousand-item lists of collocations and non-collocations. …”
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Model Selection Methods for Model-Bridge Simulation Calibration by Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki

“…Finally, we discuss theoretical requirements which a surrogate model should satisfy to allow the use of information theory-based methods.…”
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Evaluation of Depth Anything Models for Satellite-Derived Bathymetry by E. Günaydın, İ. Yakar, T. Bakırman, M. O. Selbesoğlu

“…The accuracy of these predicted depth maps was evaluated by comparing them with bathymetric data obtained from the National Oceanic and Atmospheric Administration’s (NOAA) National Centers for Environmental Information (NCEI) as the ground truth. …”
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Prognostic Evaluation Model and Application for Computer Interlocking System by FENG Haonan, JIANG Qingyang, TENG Da, FAN Kai, WANG Jungao

“…System trend diagram implied that it had three operating condition stages, and corresponding maintenance strategies was linked with critical importance probability of failure events in each stage. The method provided theoretical basis for system prognostic evaluation, maintenance strategy.…”
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Balance evaluation system using wearable IMU sensing by Tiantian Wang, Minghui Liu, Benkun Bao, Senhao Zhang, Liuxin Yang, Hongbo Yang, Kai Guo, Dianhuai Meng

“…The evaluation of balance and postural stability holds significant importance in both medical rehabilitation and daily life. …”
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Dynamic Fracture Criteria Evaluation of Bridge Structural Steel by Antanas Žiliukas, Marius Gintalas

“…Considering ductile behavior of bridges steel integral approach is suitable for fracture toughness evaluation. The paper presents the method of dynamic fracture parameter J-integral evaluation in case of elastic-plastic deformation of bridge structural steel. …”
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Residents Demand Response Strategy Considering Rolling Evaluation by Yi SUN, Changli LIU, Di LIU, Bin LI, Dongsheng JING, Songsong CHEN

“…A response evaluation model is established, and the rolling evaluation method is used to select predictable users to participate in the business in descending order according to the evaluation results, so as to minimize the uncertainty of the automatic demand response for the participation of residential users. …”
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