[Translated article] Facial Discoid Dermatosis. A 13-Case Series by B. Butrón-Bris, C. Buján, S. Berenguer-Ruiz, L. Martos-Cabrera, P. Rodríguez-Jiménez, J. Fraga, C. Eguren, R. Serrano-Pardo, P. Iranzo, José M. Mascaró, Jr., M. Llamas-Velasco, A. Reolid

“…Histopathological analysis revealed a consistent pattern of psoriasiform hyperplasia with confluent parakeratosis, without neutrophils within the epidermal layers.This study provides essential insights into the clinical and histopathological features of FDD within a predominantly Caucasian patient cohort. …”
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Classification of Beef, Goat, and Pork using GLCM Texture-Based Backpropagation Neural Network by Irma Saraswati, Rian Fahrizal, Anugrah Nuur Fauzan, Muchtar Ali Setyo Yudono

“…The methodology utilizes 60 images of beef, goat, and pork, achieving a remarkable accuracy of 100% in the training phase, which highlights the model's capability to effectively recognize patterns. However, when tested with new data, the system exhibits a sensitivity of 90% and a specificity of 95%, with some misclassifications occurring between goat and beef due to their similar textures. …”
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The Architectural Production of India’s Everyday Modernism: Middle-class Housing in Pune, (1960-1980) by Sarah Melsens, Inge Bertels, Amit Srivastava

“…The large-scale appropriation of modernist architectural features in everyday housing projects in postcolonial India is remarkable. …”
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A Comprehensive Analysis of Imbalance Signal Prediction in the Japanese Electricity Market Using Machine Learning Techniques by Kaiyao Jiang, Yuji Yamada

“…By incorporating a diverse range of features—including lagged imbalance data, weather forecast errors specific to Japan, and temporal patterns—we demonstrate that the prediction accuracy of imbalance signals is significantly improved compared to a baseline reflecting random forecasts based on class distribution observed during the initial training period. …”
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The use of artificial intelligence to analyze and optimize financial flows by М. А. Miakisheva

“…The article systematizes modern ideas about the features of using artificial intelligence tools in order to analyze and optimize financial flows. …”
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Human-Aware Control for Physically Interacting Robots by Reza Sharif Razavian

“…Therefore, based on this model and the nonlinear model predictive control framework, a human-aware control algorithm is implemented, which internally runs simulations to predict the user’s interactive movement patterns in the future. Consequently, it can optimize the robot’s motor torques to minimize an index, such as the user’s neuromuscular effort. …”
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Visual Multiple-object Tracking Algorithm Based on Motion Consistency by YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin

“…The algorithm aims to improve the stability in tracking multiple objects with similar appearance features and motion patterns, while maintaining stability in normal cases. …”
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Temporal Fusion Transformer-Based Trading Strategy for Multi-Crypto Assets Using On-Chain and Technical Indicators by Ming Che Lee

“…By combining multi-source features—such as Spent Output Profit Ratio (SOPR), Total Value Locked (TVL), active addresses (AA), exchange net flow (ENF), Realized Cap HODL Waves, and the Crypto Fear and Greed Index—with classical signals like Relative Strength Index (RSI) and moving average convergence divergence (MACD), the model captures behavioral patterns, investor sentiment, and price dynamics in a unified structure. …”
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Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus by Han Lv, Jinduo Liu, Qian Chen, Zuozhen Zhang, Zhaodi Wang, Shusheng Gong, Junzhong Ji, Zhenchang Wang

“…This provided critical insights into the gain theory of tinnitus development. The altered pattern of functional information orchestration, represented by a higher degree of hypervigilance-driven attention and enhanced multisensory integration, may explain poor clinical outcomes. …”
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Hyperspectral Estimation of Chlorophyll Content in Ginseng Fruit Leaves Based on Wavelet Transform and VCPA-GA Algorithm by Guo Jinfeng, Zhang Zhicong, Umut Hasan, Zhou Zhongye, Xu Wenyu, Yusup Ahmat

“…Leaf Chlorophyll Content (LCC) is vital for both direct and indirect plant growth and development. Accurate monitoring of LCC in ginseng fruits provides essential data for assessing their photosynthetic and nutritional status, which is beneficial for the development of precision agriculture. …”
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Pathomorphological analysis of the qualitative composition of the inflammatory infiltrate around the pilosebaceous unit of the scalp in perifolliculitis capitis abscedens et suffod... by O. V. Poslavska, O. L. Statkevych, T. V. Sviatenko, I. S. Shponka

“…The pathohistological pattern of damage to the pilosebaceous unit of the scalp in PCAS is characterized by a deep inflammatory infiltrate located at the level of the reticular dermis or hypodermis, the development of perifolliculitis in the direction of the formation of deep abscesses and the destruction of follicles with the formation of lymphoplasmacytic granulomas or granulomas with giant cells, obligatory hyperplasia of the sebaceous apparatus glands that open into the hair follicle. …”
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Classification of Individuals With COVID-19 and Post–COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near–Real-Time Monitoring C... by Carlos Alberto Sanches, Andre Felipe Henriques Librantz, Luciana Maria Malosá Sampaio, Peterson Adriano Belan

“…A secondary objective was to assess the feasibility of a near–real-time health monitoring system based on these patterns using wearable-derived HRV data. …”
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Optimality Theory in Egyptian Arabic Phonological Acquisition by Mona Maamoun

“…Previous research on EA phonological development has primarily focused on the acquisition of phonemes, syllable structures, phonological processes, and suprasegmental features. …”
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Environmental Responsibility, Active Social Learning, and Political Action by David Hayes

“…Links will be made throughout between environmental issues, economic development and social and environmental justice. Another key feature of Green Criminology is the way in which it seeks to align with environmental activism, and an account will be given here of ethnographic research into a contemporary environmental protest movement, the 'anti-fracking' movement. …”
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Self-staging on the Himalayan trails: online storytelling videos as a medium for young Nepalese people to discover trekking by Pierre Dérioz, Philippe Bachimon, Pranil Kumar Upadhayaya

“…Combined, they have become a common feature of contemporary ‘connected’ tourism, a major producer and consumer of images. …”
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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. …”
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The Interval Slope Method for Long-Term Forecasting of Stock Price Trends by Chun-xue Nie, Xue-bo Jin

“…The exponentially segmented pattern (ESP) is introduced here and used to predict the fluctuation of different stock data over five future prediction intervals. …”
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Atypical hierarchical brain connectivity in autism: Insights from stepwise causal analysis using Liang information flow by Shan Sun, Fei Wang, Fen Xu, Yufeng Deng, Jiwang Ma, Kai Chen, Sheng Guo, X. San Liang, Tao Zhang

“…These disruptions were detected at multiple hierarchical levels, indicating changes in communication patterns across brain regions. By leveraging features of hierarchical causal connectivity, we achieved high classification accuracy between ASD and healthy individuals. …”
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Bioinformatics and Functional Validation of <i>CqPRX9L1</i> in <i>Chenopodium quinoa</i> by Hongxia Guo, Linzhuan Song, Yufa Wang, Li Zhao, Chuangyun Wang

“…<i>CqPRX9L1</i> showed a dynamic expression pattern of first decreasing and then increasing under abiotic stresses such as 15% PEG 6000, low temperature, and salt damage, with differences in response time and degree. …”
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Bi-branch Neural Network for Urban Functional Zone Mapping: Combining Remote Sensing Imagery and Point-of-Interest Data by L. Ying, X. Chen, X. Chen, X. Chen, X. Chen, J. Zhao, Y. Zhang, H. Sun, W. Tu, W. Tu, W. Tu, W. Tu

“…The BibDL model leverages the complementary strengths of these data sources: remote sensing provides spatial and structural information, while POI data offers insights into human activities and land use patterns. Experimental results demonstrate that the BibDL model significantly outperforms a baseline model trained only on imagery, achieving higher F1 scores of 0.975 and Kappa coefficients of 0.953 across multiple UFZ categories. …”
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