Comparative Evaluation of Trueness of Dental Impressions Using Digital Scanners: An In vitro Study by Ch Bindhu Sree, Pradeep Koka, I Kavya Sri, Jisa A. Alex, K Deepa Rani, V. Bhanu Chander

“…Methodology: A prepared lower first molar in a typhodont model, featuring dimple markers at line angles, served as the reference. …”
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Fake News Detection using the Random Forest Algorithm by Rahmat Dipo Setyadin, Reza Handaru Winasis, Gandung Triyono

“…The results show that the model performed exceptionally well, with k-fold cross-validation (k=5) yielding high average accuracy—Random Forest achieved an accuracy of 0.9890.…”
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A comprehensive analysis of transcription factors identified TCF3 as a prognostic target for glioma by Qiao Li, Peng Feng, Shangyu Liu, Goupeng Tian, Guoqiang Yuan, Yawen Pan

“…By applying 101 machine learning models, five key genes (EZH2, TWIST1, EGR1, FOSL2, and TCF3) involved in glioma were identified. …”
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Fault Diagnosis Systems for Robots: Acoustic Sensing-Based Identification of Detached Components for Fault Localization by Woonghee Yeo, Mitsuharu Matsumoto

“…To achieve this, sweep signals were applied to a modular robot, and acoustic responses were collected under various structural configurations over five days. Frequency-domain features were extracted using the Fast Fourier Transform (FFT), and classification was performed using five machine learning models: Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbors (KNN), XGBoost, and Multi-Layer Perceptron (MLP). …”
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Latent landslide hazard recognition in Fang County using synthetic aperture radar interferometry and geological data by Shunyao Wang, Shunyao Wang, Shunyao Wang, Qingbin Fan, Hui Li

“…With the aid of 10 ALOS-2 data scenes and high-precision digital elevation models of the study area, a displacement rate map with a maximum value of −70.6 mm/a was extracted. …”
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Numerical Analysis of Thermal Buckling of Honeycomb Core Sandwich Panel under Thermal Loading by Majid Safarabadi, Mehran Shahryari, Amin Montazeri, Amin Mohammadi Barkchay

“…In the aerospace industry, the usage of sandwich panels in a variety of space structures such as satellites is increasing due to their excellent features like high strength-to-weight ratio, and thermal insulation. …”
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New ideas about the structure and functions of national ecological network in the context of modern postnonclassical concepts by Tetiana Kazakova

“…The use of postnonclassical approaches to formation of the national ecological network reveals new features that should carry out modern alternative tourism destinations. …”
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Exploring the potential location of future earthquakes in Harrat Lunayyir, Western Saudi Arabia by Ali Abdelfattah, Chokri Jallouli, Hassan Alzahrani, Saleh Qaysi, Mohammed Fnais, Abdullah Al-Amri

“…The Arabian Shield constitutes the eastern flank of the Red Sea and features zones rich in lava flows potentially associated with seismic activity. …”
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Laboratory studies of hydraulic fracturing of intersecting boreholes in a non-uniform stress field by Andrey V. Patutin, Aleksandr A. Skulkin, Leonid A. Rybalkin, Andrey N. Drobchik

“…This study focuses on the features of hydraulic fracture propagation in intersecting boreholes in polymethyl methacrylate blocks in a non-uniform stress field. …”
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ECOLOGY AND INNOVATION THE BASIS FOR SUSTAINABLE DEVELOPMENT COURSE by G. S. Rozenberg, G. M. Abdurahmanov, A. G. Zibarev, G. E. Kudinova, V. I. Popchenko, A. G. Rozenberg, P. A. Bekshokova, P. I. Gabibova

“…Methods. The study was performed using the SF-36 Survey in accordance with the requirements of the International Quality of Life Assessment Project. …”
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Defining students’ socioscientific issues classroom decision-making components and practice proficiencies by Jenny M. Dauer, Caitlin K. Kirby, Amanda E. Sorensen

“…Undergraduate students were led in interviews through a policy-level decision and asked to perform steps of a structured decision-making process. …”
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Research of Surface Wear Resistance of Aluminum Alloy Modified with Minerals using Sclerometry Method by A. V. Skazochkin, G. G. Bondarenko, P. Żukowski

“…Also, measurements of the hardness and elastic modulus of the surface of the modified sample were performed taking into account the features of measuring the mechanical parameters of thin layers.The obtained parameters of the modified surface of the aluminum alloy can be further used to build models of the processes of friction and wear of the surface modified by ultrafine particles of minerals. …”
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SPC25 as a prognostic and immune-related biomarker in lung adenocarcinoma by Pan Liu, Lili Wang, Sining Xing, Song Zhao, Huiying Yu

“…We use the “pROC” software package to draw ROC curves to evaluate its diagnostic potential, perform chi-square tests and logistic regression models to analyze its relationship with clinical pathological features. …”
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An Ensemble-Based Classifier to Determine the Harmonic Contribution Responsibility Between Utility’s Grid and Microgrids by Matheus C. Mella, Ricardo A. S. Fernandes, Daniel Barbosa

“…Three-phase voltage and current signals were acquired at MG’s PCC to train and validate the ensembles. However, a feature extraction stage was performed to obtain time and frequency features used as inputs to the predictive models. …”
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Is the skull of the black-headed gull dimorphic? Analysis of shape variation by P. Indykiewicz, N. Manuta, J. Bonecka, O. Gündemir, T. Szara

“…Gulls are considered monomorphic birds, and distinguishing the sexes based on external morphological features is extremely difficult. In this study, a 3D shape analysis of the skull of black-headed gulls from central-northern Poland was performed to reveal the variation in shape between individuals and whether male skulls differ from females. …”
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Improving radiology information systems for inclusivity of transgender and gender‐diverse patients: what are the problems and what are the solutions? A systematic review by Nathan Ho, Ally Williams, Zhonghua Sun

“…A quality assessment was performed using the Johns Hopkins Nursing Evidence‐Based Practice Research and Non‐Research Evidence Appraisal Tools. …”
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ESTIMATION OF SOFTWARE COMPLEXITY OF CALCULATION OF AUTOREGRESSION COEFFICIENTS AT DIGITAL SPECTRAL ANALYSIS by Andrey Zuev, Andrey Ivashko, Denis Lunin

“…The Trench method is the fastest in the case of floating-point arithmetic and small-scale modeling. In other cases, Durbin's method is more effective. …”
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EFFICIENCY OF QUANTITATIVE ANALYSIS OF LUNG COMPUTED TOMOGRAPHY FINDINGS IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE by A. V. Kolsanov, P. M. Zel,ter, A. V. Kapishnikov, S. S. Chaplygin

“…Sixty patients with chronic obstructive pulmonary disease (COPD) were examined; the diagnosis was confirmed by external respiratory function evaluation; all the patients underwent inspiratory-expiratory CT using a 32-row multidetector CT scanner, followed by postprocessing in the “Autoplan” system. The features of the system were a floating threshold value, constructing a histogram, and the possibility of preserving a report and polygonal models. …”
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A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images by Hassaan Haider Syed, Muhammad Attique Khan, Usman Tariq, Ammar Armghan, Fayadh Alenezi, Junaid Ali Khan, Seungmin Rho, Seifedine Kadry, Venkatesan Rajinikanth

“…The proposed method includes four core steps: (i) preparing a database of three different classes such as COVID-19, pneumonia, and normal; (ii) modifying three pretrained deep learning models such as VGG16, ResNet50, and ResNet101 for the classification of COVID-19-positive scans; (iii) proposing an activation function and improving the firefly algorithm for feature selection; and (iv) fusing optimal selected features using descending order serial approach and classifying using multiclass supervised learning algorithms. …”
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Comprehensive VR dataset for machine learning: Head- and eye-centred video and positional dataThe Adaptive Mind Datahub by Alexander Kreß, Markus Lappe, Frank Bremmer

“…The dataset spans six distinct environments, including one specifically for calibrating the motion platform, and provides a cumulative playtime of over 10 h for both head- and eye-centred perspectives.The data collection was conducted in naturalistic VR settings, where participants collected virtual coins scattered across diverse landscapes such as grassy fields, dense forests, and an abandoned urban area, each characterized by unique ecological features. This structured and detailed dataset offers substantial reuse potential, particularly for machine learning applications.The richness of the dataset makes it an ideal resource for training models on various tasks, including the prediction and analysis of visual search behaviour, eye movement and navigation strategies within VR environments. …”
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