Prosit-XL: enhanced cross-linked peptide identification by fragment intensity prediction to study protein interactions and structures by Mostafa Kalhor, Cemil Can Saylan, Mario Picciani, Lutz Fischer, Falk Boudewijn Schimweg, Joel Lapin, Juri Rappsilber, Mathias Wilhelm

Get full text

Acoustic Signal-Based Deep Learning Approach and Device for Detecting Interfacial Voids in Steel–Concrete Composite Structures by Wei Tian, Hang Yuan, Xinpeng You, Hehui Zheng, Bazhou Li, Chengming Peng

“…The introduction of Mel spectrum features into the analysis of excitation vibration acoustic signals can improve the accuracy of identifying structural void damage. Compared with the conventional MLP and LSTM neural network models, the constructed Mel Spectrum with CNN model can realize high-precision classification of damage, health, and invalid data of the composite structural interface, and the classification and recognition accuracy reaches 96.8%. …”
Get full text

High-resolution seismic reflection surveying to delineate shallow subsurface geological structures in the karst area of Shenzhen, China by Z. Wang, Z. Wang, C. Juhlin, Q. Lü, X. Ruan, Z. Liu, C. Yu, M. Chen

“…<p>Near-surface seismic reflection surveys can produce high-resolution geological structural images for engineering and hydrological investigations. …”
Get full text

Community-based surveillance system structures and knowledge level of community-based surveillance volunteers on priority diseases in Ghana. by Benjamin Adjei, Thomas Hormenu, Joseph Kwame Mintah

“…A sample of 1, 381 communities were systematically sampled from 2,232 communities for this study. A structured questionnaire was used to collect data from the CBSVs within 12 weeks and was analyzed using Statistical Package for Social Sciences (SPSS). …”
Get full text

Neotectonic structures and modern geodynamics of the middle flow region of the Don river (the territory of the Novovoronezh nuclear power plant) by V. M. Makeev, E. A. Pikulik, A. S. Guseltsev

“…Background. Structural and geodynamic studies are conducted in the region of the middle flow of the Don river.Aim. …”
Get full text

Determination of the Most Damaging Operational Loading Modes of Load-Bearing Structures of the Dump Truck Body by Fatigue Criterion by Aliaksei V. Shmialiou, Alexander M. Naskovets, Sergey V. Khitrikov, Aliaksandr L. Krauchonak

“…Processes of change of mechanical axial stresses during the tests were registered in eight zones. Experimental data analysis revealed two zones of the structure where the fatigue damage accumulation happens more than twice as fast as in the others. …”
Get full text

Non-Destructive Testing and Evaluation of Hybrid and Advanced Structures: A Comprehensive Review of Methods, Applications, and Emerging Trends by Farima Abdollahi-Mamoudan, Clemente Ibarra-Castanedo, Xavier P. V. Maldague

“…By synthesizing insights from the recent literature, the paper evaluates comparative performance metrics (e.g., sensitivity, resolution, adaptability); highlights integration strategies for embedded monitoring and multimodal sensing systems; and addresses challenges related to environmental sensitivity, data interpretation, and standardization. The transformative role of NDE 4.0 in enabling automated, real-time, and predictive structural assessment is also discussed. …”
Get full text

Fiber Bragg Grating Detection and Nonlinear Thermal Strain Response of Annular Concrete Structures Under Stress Constraints by Chuan Li, Yusi Ran, Jiaqi Li, Qiang Xu, Hao Liu, Xiaorong Wan

“…Then, the gradient cooling experiments under different stress constraints are carried out to measure the total strain of the structure, extract the thermal strain data and carry out statistical evaluation, and analyze the nonlinear thermal strain response of the structure. …”
Get full text

Exploring the density and morphology of coconut structures at two locations: a time-based analysis using computer tomography by Shenghuang Lin, Chengxu Sun, Li’an Luo, Mengxing Huang, JeromeJeyakumar John Martin, Hongxing Cao, Jinyue Hu, Zhiming Bai, Zhanping He, Yu Zhang, Jing Chen

“…Background The study aimed to observe the internal structure of coconuts from two locations (coastal and non-coastal) using computed tomography (CT). …”
Get full text

Could Milkability Parameters Serve as a Reliable Tool to Predict the Morphology of Teat Structures and Their Milking-Induced Changes? by Iveta Szencziová, Matúš Gašparík, Jaromír Ducháček, Eva Tóthová Tarová, Melinda Nagy, Luděk Stádník, Mária Mičiaková, Radim Codl

“…The prediction potential, performed based on milkability, is limited if the initial dimensions of structures are not provided. If teat dimensions were measured at the beginning of the production life, automatically collected milkability data could be used to calculate milking-induced changes incurred with each milking and the development of teat dimensions over the production life. …”
Get full text

Numerical power prediction for waDED produced aluminium ER5183 wall structures on vertical substrate plates by Fabio Haunreiter, Hugo Drexler, Martin Schnall, Alois Birgmann, Johannes Kronsteiner, Thomas Kopf, David Gruber, Pauline Meyer-Heye, Matthias Hartmann

“…The calibrated FEM-model is used to predict optimized welding powers for a multi-layer wall structure. Good seam qualities are achieved using the numerically predicted welding powers, effectively preventing variations in seam width caused by insufficient or excessive heat input.…”
Get full text

Data-driven modeling and identification of a bistable soft-robot element based on dielectric elastomer by Abd Elkarim Masoud, Jürgen Maas

“…The bistable DE system consists of a buckled beam structure and symmetric DE membranes to achieve rapid switching between two stable states. …”
Get full text

The Performance of an ML-Based Weigh-in-Motion System in the Context of a Network Arch Bridge Structural Specificity by Dawid Piotrowski, Marcin Jasiński, Artur Nowoświat, Piotr Łaziński, Stefan Pradelok

“…In civil and bridge engineering, they can facilitate the identification of specific patterns through the analysis of data acquired from structural health monitoring (SHM) systems. …”
Get full text

Extensional forearc structures at the transition from Alaska to Aleutian Subduction Zone: slip partitioning, terranes and large earthquakes by Kahrizi, Amin, Delescluse, Matthias, Chamot-Rooke, Nicolas, Pubellier, Manuel, Bécel, Anne, Shillington, Donna, Nedimović, Mladen, Bulois, Cédric

“…Using legacy seismic profiles and modern multichannel seismic data, we update the structural map of the area, focusing on the intersection between trench-parallel, landward-dipping normal faults rooting in the plate interface and trench-oblique to trench-perpendicular normal faults, all showing signs of recent activity. …”
Get full text

Stage-Dependent Microphysical Structures of Meiyu Heavy Rainfall in the Yangtze-Huaihe River Valley Revealed by GPM DPR by Zhongyu Huang, Leilei Kou, Peng Hu, Haiyang Gao, Yanqing Xie, Liguo Zhang

“…We classified the heavy rainfall events into three life stages of developing, mature, and dissipating using ERA5 reanalysis and IMERG precipitation estimates, and examined vertical microphysical structures using Dual-frequency Precipitation Radar (DPR) data from the Global Precipitation Measurement (GPM) satellite during the Meiyu period from 2014 to 2023. …”
Get full text

Global Research Trends in Biomimetic Lattice Structures for Energy Absorption and Deformation: A Bibliometric Analysis (2020–2025) by Sunny Narayan, Brahim Menacer, Muhammad Usman Kaisan, Joseph Samuel, Moaz Al-Lehaibi, Faisal O. Mahroogi, Víctor Tuninetti

“…Notably, the integration of artificial intelligence into structural modeling is accelerating a shift toward data-driven design frameworks. …”
Get full text

Artificial Intelligence-Based Approach for Damage Localization in Ultrasonic Guided Wave-Based Structural Health Monitoring by Anastasiia Volovikova, Steffen Freitag, Oliver Schackmann, Vittorio Memmolo, Ahmed Bayoumi, Inka Mueller, Jochen Moll

“…Existing localization approaches are limited through them being applied on defined simple structures and requiring a large amount of data, which is usually unavailable in practical applications. …”
Get full text

Identifying important and feasible primary care structures and processes in the US healthcare system: a modified Delphi study by Daphna Harel, Bryan J Weiner, Saul B Blecker, Ann M Nguyen, Maggie M Paul, Stephanie L Albert, Lorraine Kwok, Donna R Shelley, Charles M Cleland, Deborah J Cohen, Laura Damschroder, Carolyn A Berry

“…Objective To identify primary care structures and processes that have the highest and lowest impact on chronic disease management and screening and prevention outcomes as well as to assess the feasibility of implementing these structures and processes into practice.Design A two-round Delphi study was conducted to establish consensus on the impact and feasibility of 258 primary care structures and processes.Participants 29 primary care providers, health system leaders and health services researchers in the USA.Outcomes Primary outcomes were (1) consensus on the impact of each structure and process on chronic disease management and screening and prevention outcomes, separately and (2) consensus on feasibility of implementation by primary care practices.Results Consensus on high impact and feasibility of implementation was reached on four items for chronic disease management: ‘Providers use motivational interviewing to help patients set goals’, ‘Practice has designated staff to manage patient panel’, ‘Practice has onsite providers or staff that speak the most dominant, non-English language spoken by patients’ and ‘Practice includes mental health providers and/or behavioural health specialists in care team’ and seven items for screening and prevention: ‘Practice utilizes standing protocols and orders’, ‘Practice generates reports to alert clinicians to missed targets and to identify gaps in care, such as overdue visits, needed vaccinations, screenings or other preventive services’, ‘Practice has designated staff to manage patient panel’, ‘Practice sets performance goals and uses benchmarking to track quality of care’, ‘Practice uses performance feedback to identify practice-specific areas of improvement’, ‘Practice builds quality improvement activities into practice operations’ and ‘Pre-visit planning data are reviewed during daily huddles’. …”
Get full text

Damage detection in structural health monitoring using hybrid convolution neural network and recurrent neural network by Dung Bui-Ngoc, Hieu Nguyen-Tran, Lan Nguyen-Ngoc, Hoa Tran-Ngoc, Thanh Bui-Tien, Hung Tran-Viet

“…Different machine learning techniques have been applied to attempt to extract features or knowledge from vibration data, however, they need to learn prior knowledge about the factors affecting the structure. …”
Get full text

Associations of ambient air pollution exposure and sleep pattern with brain structures: A prospective study in the UK Biobank by Ting Song, Xiyin Qiu, Jialong Wu, Huan Xu, Juying Zhang, Bing Guo, Xing Zhao

“…However, no study has explored the impact of sleep conditions (sleep behaviors and sleep patterns) on the associations between AP and brain structures. Methods: This study included over 21,000 participants from the UK Biobank. …”
Get full text