Toward the classification of social media use disorder: Clinical characterization and proposed diagnostic criteria by Tania Moretta, Elisa Wegmann

“…However, social media use disorder is not currently recognized as an official disorder in major diagnostic systems, limiting comparability among studies, precise prevalence estimation, and ad-hoc preventive and treatment program development. The present work aims to classify social media use disorder as a pathological condition sharing main mechanisms and maladaptive patterns with addictive behaviors. …”
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Experimental studies on oscillation modes of vibration separation devices by Demianenko M., Volf M., Pavlenko I., Liaposhchenko O.

“…In turn, physical experiments aim to identify patterns and features of processes occurring during vibration-inertial separation (i.e., the dependence of various parameters on velocity). …”
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Integrating circuit theory and network modeling to identify ecosystem carbon sequestration service flow networks by Chen Qu, Jia Xu, Wen Li, Yucen Zhai, Yiting Wang, Baozhu Liu, Shaoning Yan

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Deep Learning Approach for Classifying DDoS Attack Traffic in SDN Environments by Mohd Nadeem, Shweta Dwivedi, Rizwan Akhtar, Shameem Ahmad Ansari, Saumya Singh, Eram Fatima Siddiqui, Rajeev Kumar

“…A neural network classifier analyzes this data to identify complex patterns and behaviors associated with DDoS attacks. …”
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Semi-auxetic piezoresistive textronic by Milad Razbin, Sharhbanou Ehsanpour, Ali Akbar Gharehaghaji, Roohollah Bagherzadeh

“…A semi-auxetic piezoresistive textronic structure was created by stitching the sensors onto the substrate in a zig-zag pattern. Electromechanical analysis highlighted a trade-off between auxetic behaviour and sensitivity, with the highest sensitivity (−4.8) observed in a structure with a stitching length of 2 cm, and the highest auxeticity (−14.1) found in a structure with a stitching length of 3 cm. …”
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Dual Probe with Fluorescent and Magnetic Properties for Imaging Solid Tumor Xenografts by Liang Shan, Songping Wang, Rajagopalan Sridhar, Zaver M. Bhujwalla, Paul C. Wang

“…These results indicate that the newly developed dual probe enhances the tumor image contrast and is superior to contrast agent alone for identifying the tumor pathologic features on the basis of MRI but also is suitable for NIR-based optical imaging.…”
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Vehicle recognition in acoustic sensor networks using multiple kernel sparse representation over learned dictionaries by Rui Wang, Wenming Cao, Zhihai He

“…Sparse representation–based classification and kernel methods have emerged as important methods for pattern recognition. In this work, we study the problem of vehicle recognition using acoustic sensor networks in real-world applications. …”
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A Novel Framework for Whole-Slide Pathological Image Classification Based on the Cascaded Attention Mechanism by Dehua Liu, Bin Hu

“…However, existing methods often rely on single attention mechanisms, failing to fully exploit the complexity of pathological images, especially in extracting critical features from whole-slide images. We developed a framework incorporating a cascaded attention mechanism, enhancing meaningful pattern recognition while suppressing irrelevant background information. …”
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Integration of chromosome conformation and gene expression networks reveals regulatory mechanisms in triple negative breast cancer by Helena Reyes-Gopar, Helena Reyes-Gopar, Helena Reyes-Gopar, Keila Adonai Pérez-Fuentes, Matthew L. Bendall, Enrique Hernández-Lemus, Enrique Hernández-Lemus

“…This model addresses limitations in Hi-C data analysis without relying on predefined features like TADs and compartments. We applied this model to Hi-C and RNA-seq data from TNBC patients, representing the data as multilayer networks to identify genome-wide properties of the TNBC 3D genome.ResultsOur network-based analysis revealed distinct chromatin interaction patterns in TNBC compared to healthy contralateral controls. …”
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Predictive power demand for energy management of hybrid electric tractors by Christian Varlese, Johannes Konrad, Thomas Volf, Dominik Brunner, Christoph Hametner, Peter Hofmann

“…As agricultural duty cycles exhibit recurrent patterns, precise load forecasting can be achieved through non-linear models. …”
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GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence by Mohd Anjum, Ashit Kumar Dutta, Ali Elrashidi, Sana Shahab, Asma Aldrees, Zaffar Ahmed Shaikh, Abeer Aljohani

“…To address these limitations, this research proposes GraphFedAI, a novel framework that integrates adaptive session-based graph modeling, Pearson correlation-guided feature selection, interpolation-aware graph neural network (GNN) training, and federated learning to enable robust, scalable, and privacy-preserving DDoS detection in heterogeneous Internet of Things (IoT) networks.The framework represents the IoT network as dynamic graphs where communication patterns among devices are modeled as edges that evolve over time. …”
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Stem gravitropism and tension wood formation in three tropical woody species with different wood densities by Widyanto Dwi Nugroho, Gita Dwi Anjayani, Arisandy Fernando Tampubolon, Adhitya Wisnu Pradhana, Hairi Cipta, Novena Puteri Tiyasa, Yusuke Yamagishi, Kayo Kudo, Md Hasnat Rahman, Satoshi Nakaba, Ryo Funada

“…Abstract Angiosperm trees develop tension wood on the upper side of leaning stems to reorient the direction of stems towards their normal positions in response to a gravitational stimulus. …”
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Application of artificial intelligence in modern healthcare for diagnosis of autism spectrum disorder by Abdullah H. Al-Nefaie, Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani, Theyazn H. H. Aldhyani, Sultan Ahmad, Eidah M. Alzahrani

“…Children with ASD have difficulties with social interaction, language development, and behavioral regulation. ASD is a mental condition characterized by challenges in communication, restricted behaviors, difficulties with speech, non-verbal interaction, and distinctive facial features in children. …”
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Müllerian papilloma: two case reports of malignant transformation and literature review by Sirong Tao, Yan Zhang, Wei Wang, Wei Wang, Ying He, Lili Jiang

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Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka by Penjani Hopkins Nyimbili, Mukuka Himunga Mulenga, Bwalya J. Kawimbe, Faustin A. S. Banda, Erastus Misheng’u Mwanaumo, Wellington Didibhuku Thwala

“…By integrating factors such as slope, hydrostatic potential surface, and the built environment, a predictive flood model was developed. The methodology involved using Geographic Information System (GIS) techniques and digital elevation models (DEMs) to assess geological features and manmade structures. …”
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Quality of life on climacteric nursing professionals by Thamyres Campos Fonsêca, Mariana Nepomuceno Giron, Lina Márcia Miguéis Berardinelli, Lucia Helena Garcia Penna

“…It was concluded that climacteric affects the quality of life of nursing professionals in relationships, at work, concerning eating, physical activities, sleeping patterns and leisure. …”
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Design system for normalization by Using Normal Forms by Elham hassan Aziz

“… Electronic learning is the use of modern technology of different  types for information delivery in order to reduce both time and effort for maintaining a wide range of benefit through many patterns or programs like simulation which help the learner to facilitate his opportunities for  learning and ensuring  leaner a attention and follow up . …”
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Testing different function fitting methods for mobile eye-tracker calibration by Börn Severitt, Thomas Kübler, Enkelejda Kasneci

“…We investigate how different fitting methods impact accuracy under different noise factors, such as mobile eye-tracker imprecision or detection errors in feature extraction during calibration. For this purpose, a simulation of binocular gaze was developed for a) different calibration patterns and b) different noise characteristics. …”
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Service Innovation in the Twenty First Century by Ian Miles

“… This paper is an evaluation of service sector innovations. It reviews the development of innovations in the sector, including innovation across services and the promotion of new services, and patterns of management and service design. …”
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Classification of musculoskeletal pain using machine learning by Dalia Mohamed Fouad, Marwa Mahmoud Mahfouz, Mohammed Mostafa Mohamed, Mahmoud Yassin Elzanaty, Tarek Abd El-Hafeez

“…By integrating PSO with neural networks, this framework aims to enhance the detection of pain risk patterns, offering insights into the interplay between various factors and musculoskeletal health. …”
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