Effect of fiber orientation on the kinematical behaviors of a braided continuum manipulator by X. Hu, L. Yin, J. Chen, Z. Zhou, Z. Shang

“…In our recent work, a novel braided manipulator based on fibrous materials has been developed. By employing a hybrid braiding pattern, the manipulator features a thin-walled structure and a linear actuation response, enhancing its suitability for surgical environments. …”
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Immunophenotyping of colon cancer for identification of potential antigens for colon cancer vaccines by Xuan Wang, Xuan Wang, Jingjiang Lai, Dawei Wang, Keyi Wei, Jing Yang

“…The distribution of these immune subtypes showed disparities in immune patterns, and a correlation between key components and immune cells was observed. …”
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Geothermal heat advected by the recharge of underground conduit. Case study of the karstic spring of Lez (Hérault, France) by Vasseur, Guy

“…Moreover, the mapping of the vertical temperature gradient at low depth indicates the general pattern of the recharge zone energy.…”
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Multivariate analysis of energy and solar performance across Dubai: insights from MANOVA and cluster analysis by Mayyas Alsalman, Marwa Alraeesi, Ayman Alzaatreh

“…The study analyzed 93 community areas using hierarchal clustering Analysis and Multivariate Analysis of Variance to group and compare energy patterns. The clustering analysis identified three clustered groups that differ in building types and area, influencing energy consumption and solar energy generated, causing energy and solar pattern disparities. …”
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Clinical and psychophysiological analysis of panic attacks in patients with various mental diseases by N. V. Tuter, N. A. Tyuvina

“…It was ascertained that each group of patients with PA, which was identified by the nosological principle, was characterized by the pattern of clinical and psychophysiological characteristics and the trend in PA in addition to general manifestations. …”
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Automatic mouse ultrasound detector (A-MUD): A new tool for processing rodent vocalizations. by Sarah M Zala, Doris Reitschmidt, Anton Noll, Peter Balazs, Dustin J Penn

“…House mice (Mus musculus) emit complex ultrasonic vocalizations (USVs) during social and sexual interactions, which have features similar to bird song (i.e., they are composed of several different types of syllables, uttered in succession over time to form a pattern of sequences). …”
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Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach by Wagh Swapnil, Sharma Ruchi

“…The model proposed uses the state-of-art algorithms including the decision trees, support vector machines and the deep learning techniques in the feature extraction and pattern recognition as well as binary classification. …”
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Transfer learning and multi-phase training for accurate diacritization of Arabic poetry by Gheith A. Abandah, Ashraf E. Suyyagh, Mohammad R. Abdel-Majeed

“…We mitigate the difficulty of diacritizing Arabic poetry verses by employing transfer learning to leverage pattern features from a pretrained classification model. …”
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Reusable Respiratory and Skin Protective Devices Will Help Russian NBC Protection Troops to Avoid Pathogenic Biological Agents by Valerii V. Vasilyev, Sergei N. Solovykh, Nikita V. Danyakin., Pavel V. Gorbachev

“…Considering all that the enterprises started a large-scale production of efficient respiratory and skin protective devices for medical staff in Kostroma and other regions of the Russian Federation. Design features of garment with respiratory and skin protective devices have served as a pattern for a promising protective set for Russian NBC Protection Troops that will help them to avoid pathogenic biological agents.…”
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3D-Printed Self-Assembling Helical Models for Exploring Viral Capsid Structures by Donald Plante, Keegan Unzen, John R. Jungck

“…Expanding on prior work with 3D-printed self-assembling spherical capsids, we developed helical models that integrate geometric parameters and magnetic interactions to mimic key features of the assembly process of helical viral capsids. …”
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A practical temporal transfer learning model for multi-step water quality index forecasting using A CNN-coupled dual-path LSTM network by Kok Poh Wai, Chai Hoon Koo, Yuk Feng Huang, Woon Chan Chong, Ahmed El-Shafie, Mohsen Sherif, Ali Najah Ahmed

“…The CNN-LSTM model effectively extracts inter-parameter features and learns temporal patterns, achieving strong five-step ahead forecasting performance. …”
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Classification of maize seed hyperspectral images based on variable-depth convolutional kernels by Yating Hu, Hongchen Zhang, Hongchen Zhang, Changming Li, Qianfu Su, Wei Wang

“…This design enables the network to adaptively extract continuous spectral features by modulating kernel depth, while simultaneously capturing fine-grained textural patterns through hierarchical convolutional operations. …”
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Methodological approach to evaluation the level of a university organizational culture by E. V. Kotov, Yu. O. Roschina

“…The purpose of the study was to identify the features and patterns in the formation and implementation of the organizational culture of the university of humanitarian profile. …”
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A Turkish Word Frequency Tool: LexiTR Frequency by Taner Sezer, Özay Karadağ

“…Word frequency plays a critical role in understanding the characteristics and usage patterns of a word. This study introduces the "Turkish Word Frequency Tool" (TWFT), developed as part of the LexiTR Project, along with its features. …”
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Dynamical mechanisms of how an RNN keeps a beat, uncovered with a low-dimensional reduced model by Klavdia Zemlianova, Amitabha Bose, John Rinzel

“…Abstract Despite music’s omnipresence, the specific neural mechanisms responsible for perceiving and anticipating temporal patterns in music are unknown. To study potential mechanisms for keeping time in rhythmic contexts, we train a biologically constrained RNN, with excitatory (E) and inhibitory (I) units, on seven different stimulus tempos (2–8 Hz) on a synchronization and continuation task, a standard experimental paradigm. …”
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Machine Learning Approaches to Predict No-Shows in Saudi Arabian Primary and General Healthcare Settings by Abdulrahman Alshehri, Abdullah Saeed, Abdullah AlShafea, Sabah Althubiany, Mohammed Alshehri, Amer Alzahrani, Khalid Hakami, Lamia Ibrahim, Abdulrahim Alshehri, Rana Alamri

“…Regular appointments and PHCCs showed different attendance patterns than hospitals, while walk-in appointments did. …”
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Using extreme gradient boosting for predictive urban expansion analysis in Rustenburg, South Africa from 2000 to 2030 by Paidamwoyo Mhangara, Eskinder Gidey, Bruce Steadman Mayise

“…These findings highlight significant changes in land use and landscape fragmentation over time and provide critical insights into urban growth patterns and their implications for water security, sustainable development, and community livelihoods in Rustenburg, South Africa. …”
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COGNITIVE MODELING OF KNOWLEDGE MANAGEMENT MECHANISMS IN THE TRAINING OF SPECIALISTS by Liubava Chernova, Lyudmyla Chernova

“…The article also considers the possibility of the main provisions of the theory of knowledge management in the educational process, as improving the quality of training is the goal of any educational system. The article develops a cognitive model of the knowledge management mechanism, on the basis of cognitive analysis revealed useful patterns that reflect the influence of factors of different physical nature on the results of training. …”
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Analisis Sentimen Aplikasi Playstore Sirekap 2024 Pasca Pilpres Dengan Perbandingan Metode Support Vector Machine (SVM), Naïve Bayes Classifier Dan Random Forest. by Dede Ardian TARIGAN

“…The technical stages used in this research include data scraping, data pre-processing, pattern labeling, feature extraction/weighting, data splitting, and the sentiment analysis classification process. …”
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Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convo... by Farman Ali, Raed Alsini, Tamim Alkhalifah, Fahad Alturise, Wajdi Alghamdi, Majdi Khalid

“…Our approach leverages a combination of advanced feature embedding techniques. We extract multi-source protein information from primary sequences, employing FastText for discriminative subword-level patterns and ProtBERT (a protein large language model) for contextualized sequential features. …”
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