Association of radiographic structure deformity phenotypes of knee OA to clinical symptoms and risk for progression: Proposing a modification of Kellgren-Lawrence grade - Data from the Osteoarthritis Initiative and the MOST study by Sunho Ko, Yunhee Choi, Hyuk-Soo Han, Seong Hwan Kim, Du Hyun Ro

“…Design: We used radiographic grading data provided by the OAI and MOST study. Decision tree was used to (1) Find OARSI grade criteria for each KLG and (2) Phenotype early osteoarthritic knees (=KLG1, 2) by the radiographic structure changes. …”
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Parcel-scale crop planting structure extraction combining time-series of Sentinel-1 and Sentinel-2 data based on a semantic edge-aware multi-task neural network by Zhiguang Tang, Xiangdong Wang, Qin Jiang, Haizhu Pan, Gang Deng, He Chen, Yuanhong You, Sijia Li, Haiyan Hou

“…Ultimately, a parcel-scale random forest (RF) model was developed to enable accurate crop type classification and spatial delineation of crop planting structures. Results show: 1) SEANet achieves accurate extraction of parcel boundaries, extracting a total of 175,000 parcels, and demonstrates a relative error of 6.98% compared to statistical yearbook data. …”
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LSAP: A Learned Structure-Aware Pruning Point Cloud Classification Approach for Cyber Physical Social Intelligence by Xinhong Liu, Yangfan Li, Fengxiao Tang, Ming Zhao

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Dataset for tilt-up solid and composite insulated wall panels under combined axial and lateral loadingMendeley Data by Salam Al-Rubaye, Marc Maguire

“…This dataset is of significant value to structural engineers, building code committees, and researchers in the field, as it provides crucial insights into the performance of both insulated and traditional tilt-up wall systems. …”
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The Optimal Cost Design of Reinforced Concrete Beams Using an Artificial Neural Network—The Effectiveness of Cost-Optimized Training Data by Jaemin So, Seungjae Lee, Jonghyeok Seong, Donwoo Lee

“…A SHAP analysis further confirms that the CSA-based model learns more meaningful structural relationships. The findings emphasize the critical role of high-quality training data in ANN-based structural design and suggest the potential for extending the framework to multi-objective design tasks.…”
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Analysis of the capabilities of an information system for improving sleep quality based on biometric data analysis by M.S. Graf, A.V. Yakoniuk, D.V. Krant, I.I. Golovach

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Remote Inspection of Bridges with the Integration of Scanning Total Station and Unmanned Aerial Vehicle Data by Piotr Olaszek, Edgar Maciejewski, Anna Rakoczy, Rafael Cabral, Ricardo Santos, Diogo Ribeiro

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ReceiptQA: A Question-Answering Dataset for Receipt Understanding by Mahmoud Abdalla, Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Abdelrahman Abdallah, Seung Hun Kang, Hyun Soo Kang

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Comparison of two methods in determining hearing loss type and hearing loss degree: mobile application coded with artificial neural networks and conditional structures by Ahmet Yasin Disci, Ozlem Konukseven, Rukiye Tanisir Disci

“…In this study, it is aimed to distinguish the types and degrees of hearing loss with loops created by codes written using deep learning methods and conditional structures. Method A data set consisting of 1000 pure tone airway and pure tone bone conduction hearing tests performed in the audiology clinic was prepared for this study. …”
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Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies by Ali Mardanshahi, Abhilash Sreekumar, Xin Yang, Swarup Kumar Barman, Dimitrios Chronopoulos

“…Recognizing these challenges, we explore next-generation advancements such as self-sensing structures, unmanned aerial vehicle deployment, IoT-enabled data fusion, and enhanced Digital Twin simulations. …”
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Structural and Rural Transformations and Poverty Reduction in Developing Asian Economies: An International Comparison Among China, the Philippines, and Vietnam by Qiu Chen, Jikun Huang, Mercedita A. Sombilla, Trang Truong

“…Based on a comparison with the provincial data from those three countries, both the graphic and regression analysis suggest that structural and rural transformations matter in rural poverty reduction in these three countries. …”
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Constructing Efficient Mesh-Based Global Grid Systems with Reduced Distortions by Lakin Wecker, John Hall, Faramarz F. Samavati

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Guest Editorial: Smart cities 2.0: How Artificial Intelligence and Internet of Things are transforming urban living by Zheng‐Yi Chai, Syed Attique Shah, Dirk Draheim, Sufian Hameed, Muhammad Mazhar Ullah Rathore

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From Tutte to Floater and Gotsman: On the Resolution of Planar Straight-line Drawings and Morphs by Giuseppe Di Battista, Fabrizio Frati

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Estimating Soybean Yields Using Causal Inference and Deep Learning Approaches With Satellite Remote Sensing Data by Fumin Wang, Jiale Li, Dailiang Peng, Qiuxiang Yi, Xiaoyang Zhang, Jueyi Zheng, Siting Chen

“…However, traditional machine learning methods rely on data correlation rather than causality, leading to poor interpretability. …”
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Depressive and Negative Symptoms in the Early and Established Stages of Schizophrenia: Integrating Structural Brain Alterations, Cognitive Performance, and Plasma Interleukin 6 Lev... by Fabiana Corsi-Zuelli, Gary Donohoe, Siân Lowri Griffiths, Cristina M. Del-Ben, Andrew J. Watson, Tom Burke, Paris A. Lalousis, Declan McKernan, Derek Morris, John Kelly, Colm McDonald, Saahithh R. Patlola, Carmine Pariante, Nicholas M. Barnes, Golam M. Khandaker, John Suckling, Bill Deakin, Rachel Upthegrove, Maria R. Dauvermann

“…Methods: We evaluated whether higher plasma interleukin 6 (IL-6) levels would be associated with more severe negative or depressive symptoms in schizophrenia and explored illness stage utilizing early (BeneMin [Benefit of Minocycline on Negative Symptoms of Psychosis: Extent and Mechanism], n = 201, 72.8% male) and established (iRELATE [Immune Response & Social Cognition in Schizophrenia], n = 94, 67.3% male) schizophrenia cohorts. Using structural equation modeling in a subsample (iRELATE: n = 42, 69.0% male; BeneMin: n = 102, 76.5% male) with data on structural brain metrics (cortical thickness and volume), general cognitive performance, and plasma IL-6 levels, we assessed the interrelationships between these variables on depressive and negative symptom severity in early and established schizophrenia samples combined and in early schizophrenia only. …”
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Retinal Vessel Flicker Light Responsiveness and Its Relation to Analysis Protocols and Static and Metabolic Data in Healthy Subjects by Dmitri Artemiev, Christophe Valmaggia, Scott Tschuppert, Konstantin Kotliar, Cengiz Türksever, Margarita G. Todorova

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Faktor-Faktor Yang Mempengaruhi Struktur Modal Pada Perusahaan Pertambangan Yang Terdaftar Di Bursa Efek Indonesia Periode 2013-2017 by Zul Hendri, Deni Agusrianti

“…The tool for analyzing research data is using SMART PLS. The results of the study stated that company size (X1) had no effect on capital structure (Y), profitability (X2) had no effect on capital structure (Y), company growth (X3) had no effect on capital structure (Y), and asset structure (X4 ) affect the capital structure (Y).…”
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Prediction of secreted uncharacterized protein structures from Beauveria bassiana ARSEF 2860 unravels novel toxins-like families by Peter F. Farag, Aya A. Elsisi, Esraa W. Elabd, Jana J. Sadek, Nada H. Mousa, Rawan M. Zaky, Sara M. Ahmed

“…We implemented the integration of well-designed bioinformatic tools to characterize and anticipate their homologous similarities at the sequence (InterPro) and structural (AlphaFold2) levels. The structural function annotation of these proteins was predicted using DeepFRI. …”
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Integrating AlphaFold pLDDT Scores into CABS-flex for enhanced protein flexibility simulations by Karol Wróblewski, Sebastian Kmiecik

“…The results showed improved alignment of flexibility predictions with the MD data compared to previous restraint schemes. The integration of pLDDT scores also offers a new perspective on protein flexibility by incorporating structural confidence into the analysis. …”
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