Research on Oil and Gas-Bearing Zone Prediction and Identification Based on the SVD–K-Means Algorithm—A Case Study of the WZ6-1 Oil-Bearing Structure in the Beibu Gulf Basin, South... by Zhilong Chen, Renyi Wang, Biao Xu, Jianghang Zhu

“…The WZ6-1 oil-bearing structure in the Beibu Gulf Basin of the South China Sea has well-developed faults with significant variations in fault sealing capacity, resulting in a complex and highly variable distribution of oil, gas, and water, and limited understanding of hydrocarbon accumulation patterns. …”
Get full text

Effects of Reduced Frequency on the Aerodynamic Characteristics of a Pitching Airfoil at Moderate Reynolds Numbers by Teng Zhou, Huijing Cao, Ben Zhao

“…As the pitching frequency increases, the maximum lift coefficient achieved in one pitching cycle decreases, and the direction of the lift hysteresis loop changes as the pitching frequency exceeds a certain value, leading to a change in the lift of the sign at the zero-incidence moment, which is a result of the instantaneous flow patterns on the airfoil surface. As the pitching frequency increases, flow unsteadiness develops less in one pitching cycle, and the time duration in which the turbulence boundary layer can be detected in one pitching cycle shrinks. …”
Get full text

Deep learning model using continuous skin temperature data predicts labor onset by Chinmai Basavaraj, Azure D. Grant, Shravan G. Aras, Elise N. Erickson

“…We investigated if continuous body temperature exhibits similar changes in women and whether these changes may be linked to hormonal status. Finally, we developed a deep learning model using temperature patterning to provide a daily forecast of time to labor onset. …”
Get full text

A Multimodal Pain Sentiment Analysis System Using Ensembled Deep Learning Approaches for IoT-Enabled Healthcare Framework by Anay Ghosh, Saiyed Umer, Bibhas Chandra Dhara, G. G. Md. Nawaz Ali

“…The first phase focuses on detecting the facial region from a video sequence, a crucial step for extracting facial patterns indicative of pain. In the second phase, the system extracts discriminant and divergent features from the facial region using deep learning techniques, utilizing some convolutional neural network (CNN) architectures, which are further refined through transfer learning and fine-tuning of parameters, alongside fusion techniques aimed at optimizing the model’s performance. …”
Get full text

Protocol for ‘Re: CBT Dialysis’: a realist evaluation—why, for whom and in what circumstances does cognitive behaviour therapy work for people with depressive symptoms receiving di... by Joanne Greenhalgh, Kara Schick-Makaroff, Scott Klarenbach, Megan Kennedy, Richard Sawatzky, Katrin Micklitz, Daniel Cukor, Hubert Wong, Charlotte Berendonk, Loretta Lee, Lori Suet Hang Lo

“…Realist methodology is a theory-driven approach that seeks to explain how generative mechanisms are shaped by contextual features, giving rise to outcome patterns. We will begin by developing an initial programme theory (IPT) from the literature and interviews with CBT therapists to understand how CBT is intended to work and for whom. …”
Get full text

Single-cell microbiota phenotyping reveals distinct disease and therapy-associated signatures in Crohn’s disease by Lisa Budzinski, Gi-Ung Kang, René Riedel, Toni Sempert, Leonie Lietz, René Maier, Janine Büttner, Bettina Bochow, Marcell T. Tordai, Aayushi Shah, Amro Abbas, Tanisha Momtaz, Jannike L. Krause, Robin Kempkens, Katrin Lehman, Gitta A. Heinz, Anne E. Benken, Stefanie Bartsch, Kathleen Necke, Ute Hoffmann, Mir-Farzin Mashreghi, Robert Biesen, Tilmann Kallinich, Tobias Alexander, Bosse Jessen, Carl Weidinger, Britta Siegmund, Andreas Radbruch, Anja Schirbel, Benjamin Moser, Hyun-Dong Chang

“…The data were analyzed by machine-learning to assess disease-specific marker patterns in the microbiota phenotype. mMFC captured detailed characteristics of CD microbiota and identified patterns to classify CD patients. …”
Get full text

Identity negotiation on the LIHKG platform: a grounded theory study of Mainland Chinese immigrants’ adaptation to Hong Kong society by Lingxiao Zhang, Tao Shen

“…Results reveal a dynamic identity negotiation process characterized by four patterns (integrative, confrontational, collaborative, and avoidance) that immigrants strategically employ across different contexts. …”
Get full text

Binarized Neural Networks for Resource-Efficient Spike Sorting by Luca M. Meyer, Majid Zamani, Andreas Demosthenous

“…The novelty of this work resides in the developed network architecture. In comparison to previous research, this work presents a deep binarized neural network featuring two hidden layers, each containing 256 units to effectively capture the spike characteristics of complex neural data. …”
Get full text

Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving by Wenli Dong, Weining Fang, Hanzhao Qiu, Haifeng Bao

“…Results: The results of statistical analysis confirmed the effectiveness of this paradigm in inducing SA level changes, revealing significant relationships between SA levels and key physiological metrics, including eye movement patterns, ECG features (e.g., heart rate variability), and EEG power spectral density across theta, alpha, and beta bands. …”
Get full text

System Approach to the Combined Use of Large Language Models and Classical Models in Foresight Tasks by Володимир Савастьянов, Михайло Столяр

“…The main result of the proceeding is that the patterns that reveal LLMs under certain settings can also be identified by classical models. …”
Get full text

USING THE ANYLOGIC ENVIRONMENT FOR MODELING AND ANALYSIS OF THE INFORMATION SECURITY AUDIT PROCESS by Kamilla M. Khuranova, Igor D. Kologorov, Sergey A. Reznichenko, Leonid N. Kessarinskiy

“…AnyLogic's visualization tools helped pinpoint process bottlenecks. The developed model features adaptability, allowing parameter adjustments to align with organizational specifics. …”
Get full text

A depth-wise separable VGG19-capsule network for enhanced bell pepper and grape leaf disease classification with ensemble activation by Midhun P Mathew, Sudheep Elayidom, Jagathy Raj V P, Abubeker K M

“…The process involves extracting features from VGG19, flattening them into vectors, and utilizing them as input for the capsule layer. …”
Get full text

Design of an intelligent grading system for college English translation based on big data technology by Xiaoyan Li, Chengzhou Huang

“…Methods: The deep learning methodology is the core approach for developing the intelligent grading system. By leveraging the power of a Hybrid gradient-boosting decision tree with an ensemble Back Propagation Neural Network (HGBDT-EBPNN), the system learns from large volumes of labeled translation data to identify patterns and extract meaningful features that contribute to accurate grading. …”
Get full text

Geometric and Herbal Motifs Used in Kirkit Textiles from the Eastern Black Sea Region by Keziban Selçuk, Hüseyin Yurttaş

“…The motifs on the weavings show rich cultural, geometric, floral, figural patterns, and symbolic motifs, with writing and image depictions. …”
Get full text

Effect of Lamination on Shale Reservoir Properties: Case Study of the Montney Formation, Canada by Juhwan Woo, Hyun Suk Lee, Carl Ozyer, Chul Woo Rhee

“…Typically, the degree of lamination is controlled by the sedimentation rate and flow regime. Herein, we developed a mudstone classification scheme in terms of lamination because lamination-based shale facies are related to differing features in mineral composition, porosity, and Young’s modulus. …”
Get full text

Geochemical characteristics of weathering crusts on the Dzhezhimparma Ridge and the Nemskaya Upland (South Timan) by Oksana V. Grakova, Nataliya Yu. Nikulova, Yuliya S. Simakova

“…The aim of the research is to identify patterns in the distribution of rock-forming, rare and rare earth elements and the composition of clay minerals in clay formations of the weathering crusts. …”
Get full text

Nutritional Assessment of Patients with Type-2 Diabetes in a Tertiary Level Hospital in a Low-and Middle-income Country by Rama Subba, Asmita Luitel, Rinku Joshi, Bhupal Baniya

“…This study was carried out to understand the dietary patterns of diabetic patients along with other factors including compliance and clinical features so that effective interventions can be taken for proper management of disease. …”
Get full text

Cognitive difference text classification in online knowledge collaboration based on SA-BiLSTM hybrid model by Fengjun Liu, Na Zhao, Guoqing Zhu

“…However, accurate extraction of semantic features and contextual patterns from such texts remains challenging in multi-dimensional discourse contexts. …”
Get full text

Pharmacophore modeling and QSAR analysis of anti-HBV flavonols. by Basireh Baei, Parnia Askari, Fatemeh Sana Askari, Seyed Jalal Kiani, Alireza Mohebbi

“…A QSAR equation was developed and validated with independent sets of compounds. …”
Get full text

The Spatial Analysis for Bassia eriophora (Schrad.) Asch. Plant Distributed in all IRAQ by Using RS & GIS Techniques by Al Ramahi et al.

“…This data contains only the address (place of germination), this information (addresses) was detected, identified and covered for all areas sampled by the techniques of satellite imagery and images taken from the air and some data records where the main features of these areas.…”
Get full text