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. …”
Get full text

Priority topics for research on dietary nutrition and mental health during perinatal period in China by XIAO Wenhan, JIANG Denan, WU Jing, JIANG Shen, WU Bing, GONG Yanhong, LI Xue, YUAN Changzheng, SONG Peige, WANG Zhixu

“…Objective To identify research priorities in the realm of dietary nutrition and perinatal mental health in China.Methods The Child Health and Nutrition Research Initiative method, which integrates qualitative decision-making and quantitative assessment, was used to bring together and prioritize priority research topics through a structured process of establishing research themes, topic creation and evaluation, evaluating and weighting criteria, and prioritizing research topics.Results The top three research questions identified were "exploring the causal relationship between food and perinatal mental health in high-quality cohort studies" "developing mental health intervention measures for women with perinatal metabolic diseases", and "studying the effects of comprehensive health care service interventions, including nutritional care, on perinatal mental health". …”
Get full text

Didactic frameworks for effective personnel training in modern agribusiness management by Kalmuratov Bakhtiyar, Adilchaev Rustem, Tleuov Nietulla

“…It explains how learning environments and organizational structures, rules, technological tools, and pedagogical approaches interconnect to influence training outcomes using the experiential learning paradigm and method of mixed-method analysis, the competency-based training concept, and a regression-supported evaluation method. …”
Get full text

GaitTriViT and GaitVViT: Transformer-based methods emphasizing spatial or temporal aspects in gait recognition by Hongyun Sheng

“…Previous gait recognition methods mostly focused on constructing a sophisticated model structure for better model performance during evaluation. …”
Get full text

Study on the Interaction Mechanism Between Urbanization and Ecological Resilience—The Case of Urban Agglomeration on the North Slope of Tianshan Mountain by Yanjun Tong, Tiange Shi, Shubao Zhang, Yunjie Cheng, Jiangyan Liang, Jun Lei

“…In this study, the interaction between urbanization and ecological resilience is investigated, taking the urban agglomeration on the north slope of Tianshan Mountain (UANST) as a study area and using the entropy value method to construct an urbanization evaluation system. Based on land use change data, an ecological resilience evaluation model is constructed using the InVSET model, the landscape pattern index, and the unit area value equivalent factor method. …”
Get full text

Characterization of “sweet spots” and optimization of volume fracturing parameters in deep tight reservoirs of Subei Basin by TANG Jiandong, ZHANG Shunkang, LIN Shiwei, GE Zhengjun, LIN Bo

“…However, due to complex structural settings, sedimentary conditions, and natural fractures, the effective utilization of these reservoirs remains highly challenging. …”
Get full text

A Cartesian Parallel Mechanism for Initial Sonography Training by Mykhailo Riabtsev, Jean-Michel Guilhem, Victor Petuya, Mónica Urizar, Med Amine Laribi

“…To assess the kinematic performance of the mechanism, a detailed kinematic model was developed, and both the Kinematic Conditioning Index (KCI) and Global Conditioning Index (GCI) were computed to evaluate the system’s dexterity. A trajectory simulation was conducted to validate the mechanism’s movement, using motion patterns typical in sonography procedures. …”
Get full text

Quantitative Real-Time RT-PCR Verifying Gene Expression Profile of Cavitations Within Human Jaw Bone by Shahram Ghanaati, Eva Dohle, Fabian Schick, Johann Lechner

“…<b>Methods:</b> This study is designed to determine whether BMDJ/FDOJ samples are indicative of medullary bone pathology by evaluating FDOJ gene expression patterns using quantitative real-time PCR. …”
Get full text

Examining the Relationship Between Leadership and Teachers' Moral Competence: The Mediating Role of Spiritual Climate by Nouman Maqbool Rao, Chaudhary Abdul Rehman, Sami Ullah Bajwa, Nadia Nasir

“…GBR and RFR were used to evaluate features, consistently showing similar relationships, with RFR demonstrating better predictive power. …”
Get full text

Modeling Regional ESG Performance in the European Union: A Partial Least Squares Approach to Sustainable Economic Systems by Ioana Birlan, Adriana AnaMaria Davidescu, Catalina-Elena Tita, Tamara Maria Nae

“…The model captures patterns of convergence and divergence across EU regions and identifies common drivers influencing sustainability outcomes. …”
Get full text

Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding by Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, Mohammad Arif, Anwar Ahamed Shaikh, Mousa Mohammed Khubrani, Shadab Alam, Mohammed Shuaib, Rajan John

“…To optimize our model, we maximize the correlation between attribute and structural aspects of normal nodes, and anomalies are detected by measuring the correlation between these two views. …”
Get full text

Bundling regions to explore synergies and trade-offs among water-wetland-food nexus in Black Soil Granary, China by Xiaolu Chen, Ying Guo, Qingtao Ma, Yilin Shen, Xiaolong Zhang, Shui Yu, Yanjun Shen

“…In this study, a comprehensive WWF evaluation system was proposed to analyze spatiotemporal patterns across 20 prefecture-level cities (2000–2020) using a coupling coordination degree model. …”
Get full text

Uncertainty-Aware Deep Learning for Robust and Interpretable MI EEG Using Channel Dropout and LayerCAM Integration by Óscar Wladimir Gómez-Morales, Sofia Escalante-Escobar, Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez

“…This integration represents a significant step forward by offering, for the first time, a dedicated solution to concurrently mitigate spatiotemporal uncertainty and provide fine-grained neurophysiologically relevant interpretability in motor imagery classification, particularly demonstrating refined spatial attention in challenging low-performing subjects. We evaluate three DL architectures (<i>ShallowConvNet</i>, <i>EEGNet</i>, <i>TCNet Fusion</i>) on a 52-subject MI-EEG dataset, applying channel dropout to simulate structural variability and LayerCAM to visualize spatiotemporal patterns. …”
Get full text

Exploring the magnetic and magnetocaloric properties of PLA composite filaments of Mn0.5Fe0.5Ni0.95Cr0.05Si0.95Al0.05 for additive manufacturing by Ashika Bhatta, Thomas F. McKenzie, Jemma R. DeFeo, Jacob Casey, Venkateswara Yenugonda, Shakhzodkhon Mukaddaskhonov, Gejla Toromani, Arjun K. Pathak, Mahmud Khan

“…X-ray diffraction patterns confirmed that the as-cast powder and the extruded filament composites exhibited the mixed hexagonal and orthorhombic crystal structures at room temperature. …”
Get full text

Differential influence of 1,8-Cineol on distinct hypoxia-related immune alterations in human monocytes by Nele Jagodzinski, Anke Leichtle, Reinhard Depping, Kirstin Plötze-Martin, Samer G. Hakim, Karl-Ludwig Bruchhage, Ralph Pries

Get full text

SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images by Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, D. Jaya Kumari, Paolo Barsocchi, Akash Kumar Bhoi

“…On the other hand, the discriminator ensures that the output matches realistic segmentation patterns. The SegAN model efficiently handles the local and global contextual information for precise segmentation by considering Pixel-Wise and structural loss measures that assist in better segmentation of complex structures. …”
Get full text

Assessing mangrove canopy height and health changes in Puerto Rico post‐Hurricane Maria using remote‐sensing techniques by Jahnelle Howe, Shakila Merchant, William J. Hernández, Jeffery Pessutti, Peter Groffman

“…The integration of LiDAR and NDVI provided complementary insights, with LiDAR capturing structural damage and NDVI reflecting vegetation health dynamics. …”
Get full text

COVID-19 Disruption Strategy for Redesigning Global Supply Chain Network across TPP Countries by Takaki Nagao, Hiromasa Ijuin, Tetsuo Yamada, Keisuke Nagasawa, Lei Zhou

“…This study strategically analyzes the economic and structural effects of disruption on a global supply chain network with customs duty and the trans-pacific partnership (TPP) agreement. …”
Get full text

Integrating Gut Microbiome and Metabolomics with Magnetic Resonance Enterography to Advance Bowel Damage Prediction in Crohn&amp;rsquo;s Disease by Huang L, Meng J, Lin S, Peng Z, Zhang R, Shen X, Zheng W, Zheng Q, Wu L, Wang X, Wang Y, Mao R, Sun C, Li X, Feng ST

“…This allowed us to observe signs of inflammation, such as thickened bowel walls, swelling in the surrounding tissues, abnormal blood vessel patterns, as well as other structural damage.Gut Bacteria Analysis: We examined stool samples to understand the variety and balance of the gut bacteria.Metabolite Testing: We analyzed both stool and blood samples to measure metabolic markers.We studied 309 individuals with Crohn’s disease and compared them with 30 healthy volunteers. …”
Get full text

A deep learning-driven multi-layered steganographic approach for enhanced data security by Yousef Sanjalawe, Salam Al-E’mari, Salam Fraihat, Mosleh Abualhaj, Emran Alzubi

“…Huffman coding compresses data and obfuscates statistical patterns, enabling efficient embedding within cover images. …”
Get full text