Thermal Characterization of the Overload Carbon Resistors by Ivana Kostić, Ljubiša Tomić, Aleksandar Kovačević, Saša Nikolić

“…With this paper, we provide insight into carbon resistors that have to hold out a rarely occurring transient overload. Using simple electrical circuit, the resistor is overheating with higher current than declared, and dissipation is observed by a thermal camera.…”
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Exploring artificial intelligence for differentiating early syphilis from other skin lesions: a pilot study by Jiajun Sun, Yingping Li, Zhen Yu, Janet M. Towns, Nyi N. Soe, Phyu M. Latt, Lin Zhang, Zongyuan Ge, Christopher K. Fairley, Jason J. Ong, Lei Zhang

“…Results Among the 11 classifiers, the Gradient Boosted Decision Trees (GBDT) with the wavelet filter applied on the images demonstrated the best performance, offering the stratified 5-fold cross-validation AUC of 0.832 ± 0.042 and accuracy of 0.735 ± 0.043. On the hold-out test dataset, the model shows an AUC and accuracy of 0.792 and 0.750, respectively. …”
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Comparative analysis of machine learning approaches for predicting the risk of vaginal laxity by Hongguo Zhao, Peng Liu, Fei Chen, Mengjuan Wang, Jiaxi Liu, Xiling Fu, Hang Yu, Manman Nai, Lei Li, Xinbin Li

“…Based on 1580 cases, we have established LightGBM, Random Forest, XGBoost, and AdaBoost models based on training dataset using 5-fold cross-validation and GridSearch, and analyzed the performance of the models on the hold-out test dataset. The confusion matrix, precision, recall, F1 score, overall accuracy, and ROC curve of the models on the hold-out test dataset are compared. …”
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Sahara occidental : divergences profondes autour d’un mode de règlement by Khadija Mohsen-Finan

“…The players have adopted an all-or-nothing posture regarding the outcome of the conflict : Morocco preaches Saharan autonomy within the kingdom, while the Algeriens and Sahrawis of the Polisario Front hold out for sovereign autonomy. In the absence of a clear victory for one or the other of the protagonists, the political solution will require a compromise reflecting the balance of power. …”
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Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

“…Kami mengevaluasi model dengan 5-fold dan 10-fold cross-validation untuk estimasi kinerja yang robust, serta teknik hold-out (70:30, 80:20, 85:15, dan 90:10) untuk perbandingan hasil yang jelas. …”
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Une « culture de guerre universitaire » ? L’expérience des professeurs de l’enseignement secondaire français mobilisés dans la Grande Guerre by Matthieu Devigne

“…This approach also makes it possible for me to explore how war orders and imperatives, such as killing or being killed, are understood and embraced by soldiers, who use them as performative tools contributing to build up their own reasons to “hold out”. Studying “War culture” thus means making sense of the complex relationships between the experience of fire and the civil culture of soldiers. …”
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Electrical Resistivity of Concrete for Durability Evaluation: A Review by Pejman Azarsa, Rishi Gupta

“…Ions are charged and the ability of concrete to hold out against transfer of ions greatly relies on its electrical resistivity. …”
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Challenges and limitations in using bacterial metabolites as immunomodulators by Chinnashanmugam Saravanan, Nandana Karrath Gopinath, Raja Ganesan, Durairaj Thirumurugan

“…We conclude by discussing promising advances in metagenomics, metabolomics, synthetic biology, and targeted delivery systems, which hold out hope for overcoming these limitations and paving the way for the clinical translation of bacterial metabolites as effective immunomodulators.…”
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Penerapan SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Kepribadian MBTI Menggunakan Naive Bayes Classifier by Mutiara Persada Pulungan, Andi Purnomo, Aliyah Kurniasih

“…Evaluasi menggunakan metode Hold-Out-Validation dengan membagi data menjadi 90% data latih dan 10% data uji. …”
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Protocol to generate dual-target compounds using a transformer chemical language model by Sanjana Srinivasan, Jürgen Bajorath

“…We then detail procedures for assembling ST- and corresponding DT-CPD data for specific protein pairs and evaluating the model’s performance on hold-out test sets.For complete details on the use and execution of this protocol, please refer to Srinivasan and Bajorath.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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The impact of medieval Armenian national-liberation eschatology on the psychology of the masses and military-political projects of the 16th and 18th centuries by A.M. Ayvazyan

“…In the 1720s, however, the legend completely failed to hold out against the historical reality and disappeared forever from the political agenda of the Armenian leadership.…”
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A comprehensive evaluation of histopathology foundation models for ovarian cancer subtype classification by Jack Breen, Katie Allen, Kieran Zucker, Lucy Godson, Nicolas M. Orsi, Nishant Ravikumar

“…Attention-based multiple instance learning classifiers were compared using three ImageNet-pretrained encoders and fourteen foundation models, each trained with 1864 whole slide images and validated through hold-out testing and two external validations (the Transcanadian Study and OCEAN Challenge). …”
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Mixture density networks for re-constructing historical ocean-color products over inland and coastal waters: demonstration and validation by Sundarabalan V. Balasubramanian, Ryan E. O’Shea, Ryan E. O’Shea, Arun M. Saranathan, Arun M. Saranathan, Christopher C. Begeman, Christopher C. Begeman, Daniela Gurlin, Caren Binding, Claudia Giardino, Michelle C. Tomlinson, Krista Alikas, Kersti Kangro, Moritz K. Lehmann, Moritz K. Lehmann, Lisa Reed

“…The median MdSR over all 10 variables for the hold-out testing method was 25.9%, 24.5%, and 28.9% for MODIS, MERIS, and VIIRS, respectively. …”
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Multistaged In Silico Discovery of the Best SARS-CoV-2 Main Protease Inhibitors amongst 3009 Clinical and FDA-Approved Compounds by Ibrahim H. Eissa, Abdulrahman M. Saleh, Sara T. Al-Rashood, Abdul-Aziz M. M. El-Attar, Ahmed M. Metwaly

“…The fulfilled outcomes hold out hope of beating COVID-19 through more in vitro and in vivo research for the named compounds.…”
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Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

“…The ML models included (i) Decision Tree, (ii) Random Forest (RF), (iii) eXtreme Gradient Boosting, and (iv) Support Vector Regression (SVR). A hold-out validation was performed to assess the model performance. …”
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Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

“…All models achieved approximately 70% true skill statistics on hold‐out data, demonstrating high predictive capacity for community data, the multimodal model being the best performing one. …”
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Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study by Soonil Kwon, SooMin Chung, So-Ryoung Lee, Kwangsoo Kim, Junmo Kim, Dahyeon Baek, Hyun-Lim Yang, Eue-Keun Choi, Seil Oh

“…Electrocardiogram signals, ECG features, and clinical features (demographic information, comorbidities, blood cell counts, and blood test results) were collected for training. A hold-out test dataset was constructed using a different recruitment period. …”
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Reagent-free Hyperspectral Diagnosis of SARS-CoV-2 Infection in Saliva Samples by Brandon Saint-John, Alejandro Wolf-Yadlin, Daniel E. Jacobsen, Jamie L. Inman, Serge Gart, Matt Keener, Cynthia McMurray, Antoine M. Snijders, Harshini Mukundan, Jessica Z. Kubicek-Sutherland, James B. Brown

“…We found that we could accurately identify SARS-CoV-2 infection status in double-blinded saliva samples and demonstrate 100% accuracy on a hold out test dataset. To our knowledge, this establishes the fastest hyperspectral diagnostic platform and in a small form factor, and executable with liquid samples, without ligands or reagents, all while maintaining PCR level specificity and sensitivity.…”
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A novel data augmentation tool for enhancing machine learning classification: A new application of the higher order dynamic mode decomposition for improved cardiac disease identifi... by Nourelhouda Groun, María Villalba-Orero, Lucía Casado-Martín, Enrique Lara-Pezzi, Eusebio Valero, Jesús Garicano-Mena, Soledad Le Clainche

“…Six sets of the original echocardiography databases were hold out to be used as unseen data to test the performance of the CNN. …”
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Multimodal Deep Learning for Differentiating Bacterial and Fungal Keratitis Using Prospective Representative Data by N.V. Prajna, MD, Jad Assaf, MD, Nisha R. Acharya, MD, MS, Jennifer Rose-Nussbaumer, MD, Thomas M. Lietman, MD, J. Peter Campbell, MD, MPH, Jeremy D. Keenan, MD, MPH, Xubo Song, PhD, Travis K. Redd, MD, MPH

“…Results: The MADURAI-trained computer vision model outperformed the clinical data model and the RCT-trained computer vision model on the hold-out test set, with an AUPRC 0.94 (95% confidence interval: 0.92–0.96), AUROC 0.81 (0.76–0.85), accuracy 77%, and F1 score 0.85. …”
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