Features of cardiopulmonary reserve in patients with chronic thromboembolic pulmonary hypertension with concomitant rhythm disturbances by A. S. Klinkova, O. V. Kamenskaya, I. Yu. Loginova, S. S. Porotnikova, I. I. Volkova, D. V. Doronin, A. M. Chernyavskiy

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Exploring Technical Features to Enhance Control in Videoconferencing Psychotherapy: Quantitative Study on Clinicians’ Perspectives by Francesco Cataldo, Shanton Chang, Antonette Mendoza, George Buchanan, Nicholas Van Dam

“…A path analysis was conducted to investigate the relationships between the factors loaded. The results of the analysis revealed a significant relationship between “challenges in VCP” and “features to enhance the therapeutic relationship” (adjusted beta [Adjβ]=–0.54, 95% CI 0.29-0.79; P<.001) and “features to enhance TR” and “enhancing control” (Adjβ=0.25, 95% CI 0.15-0.35; P<.001). …”
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The Structure Design of Single Locomotive Bearing-examining Machine by 李小勇, 曾承志, 宋辛晖, 王定晓

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Model Order Reduction Applied to Replicate Blast Wave Interaction with Structure by Edison Shehu, Giovanni Marchesi, Luca Lomazzi, Marco Giglio, Andrea Manes

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On the double-deck transportation of large-tonnage containers: start of work, suspension of the program, measures for its prolongation by Yu. M. Lazarenko, D. N. Arshintsev, V. V. Semerkhanov, E. A. Mitina, E. V. Kapuskina

“…The article provides the features of the structure of the well platform, the layout of containers in it, the types of tests carried out and data on the experimental transportation of the platform loaded with containers in two decks. …”
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Capacitive-Loaded High-Power Low-Loss 3.0 T Magnetic Resonance Imaging Radio Frequency Combiner Design and Integrated Application by Yingliang Li, Shouhua Luo

“…This paper presents a high-performance RF power combiner based on capacitor-loaded microstrip technology for 3.0T MRI radio frequency power amplifier (RFPA) systems. …”
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Impact of Feature-Selection in a Data-Driven Method for Flow Curve Identification of Sheet Metal by Quang Ninh Hoang, Hyungbum Park, Dang Giang Lai, Sy-Ngoc Nguyen, Quoc Tuan Pham, Van Duy Dinh

“…Subsequently, we conduct finite element simulations on uniaxial tensile tests, using materials characterized by the Swift constitutive equation to build a comprehensive database. Loading force-gripper displacement curves from these simulations are then transformed into input features for model training. …”
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Schizo-Net: A <italic>novel</italic> Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices by Nitin Grover, Aviral Chharia, Rahul Upadhyay, Luca Longo

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Optimizing load scheduling and data distribution in heterogeneous cloud environments using fuzzy-logic based two-level framework. by Bei Cheng, Dongmei Li, Xiaojun Zhu

“…Despite its heterogeneity, the optimality in load scheduling and data distribution is paused due to unattended requests for a prolonged time. …”
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Style length and flower morphology of three eggplant (Solanum melongena L.) cultivars from Iran affected by fruit load by Sedighehsadat KHALEGHI, Bahram BANINASAB, Mostafa MOBLI

“…A common feature of eggplant is its heterostyly. Long-style flowers bear fruits whereas short style ones fail to do so. …”
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Reliability based assessment of reinforced concrete columns under eccenric loads using refined first-order reliability method by Hossein Shahraki, Ahmad Reyhani

“…The important feature of the proposed approach is precise find of the most probable failure point, which provide a precise estimation of the failure probability of the RC columns under different load eccentricities. …”
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Cooling Load Forecasting Method for Central Air Conditioning Systems in Manufacturing Plants Based on iTransformer-BiLSTM by Xiaofeng Huang, Xuan Zhou, Junwei Yan, Xiaofei Huang

“…First, the Pearson correlation coefficient is employed to select time-series variables that have a significant impact on cooling load. Then, iTransformer is utilized for feature extraction to capture nonlinear dependencies among multivariate inputs and global temporal patterns. …”
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Machine Learning Models to Predict Individual Cognitive Load in Collaborative Learning: Combining fNIRS and Eye-Tracking Data by Wenli Chen, Zirou Lin, Lishan Zheng, Mei-Yee Mavis Ho, Farhan Ali, Wei Peng Teo

“…A total of 188 valid collaborative events collected from 78 graduate students who engaged in three collaborative ideation tasks were analyzed using various machine learning algorithms applied to classify cognitive load levels. Nine features, derived from both fNIRS and eye-tracking data, were used as input for the models. …”
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Power Grid Load Forecasting Using a CNN-LSTM Network Based on a Multi-Modal Attention Mechanism by Wangyong Guo, Shijin Liu, Liguo Weng, Xingyu Liang

“…This model aims to address the issue in traditional methods where complex temporal features and important information in power grid load data are not fully captured. …”
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Wind load impact on tall building facades: damage observations during severe wind events and wind tunnel testing by Omar Metwally, Haitham A. Ibrahim, Amal Elawady, Amal Elawady, Ioannis Zisis, Ioannis Zisis, Arindam Gan Chowdhury, Arindam Gan Chowdhury

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Features of change of intracardiac gemodynamics and functional state of myocardium under the impact of telmisartan in patients with hypertension. by V. I. Koshlia, M. Ben-Abid

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Features of change of intracardiac gemodynamics and functional state of myocardium under the impact of telmisartan in patients with hypertension by Koshlia V.I., Ben-Abid M.

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Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Akshit Samadhiya, Ahmad Taher Azar, Mohamed Tounsi, Naglaa F. Soliman, Walid El-Shafai

“…Abstract Unintended islanding presents substantial operational and safety risks in modern electrical distribution networks, particularly as distributed generation (DG) sources increasingly match or nearly match local load requirements. Conventional islanding detection schemes (IDS) often fail under balanced load-generation conditions, resulting in significant undetected events, commonly referred to as the non-detection zone (NDZ). …”
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Honeybee Colony Growth Period Recognition Based on Multivariate Temperature Feature Extraction and Machine Learning by Chuanqi Lu, Lin Li, Denghua Li, Qiuying Huang, Wei Hong

“…Subsequently, principal component analysis (PCA) was employed to reduce the dimensionality of the original feature vectors, thereby decreasing computational load and enhancing feature sensitivity. …”
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Device-edge collaborative occluded face recognition method based on cross-domain feature fusion by Puning Zhang, Lei Tan, Zhigang Yang, Fengyi Huang, Lijun Sun, Haiying Peng

“…The lack of facial features caused by wearing masks degrades the performance of facial recognition systems. …”
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