Deep learning-enhanced defects detection for printed circuit boards by Van-Truong Nguyen, Xuan-Thuc Kieu, Duc-Tuan Chu, Xiem HoangVan, Phan Xuan Tan, Tuyen Ngoc Le

“…Printed circuit boards (PCBs) are an important component of electronic devices. Therefore, ensuring the quality of such PCBs in the manufacturing process is crucial. …”
Get full text

Reliability-Based Fatigue Life Prediction for Complex Structure with Time-Varying Surrogate Modeling by Lu-Kai Song, Guang-Chen Bai, Cheng-Wei Fei, Jie Wen

“…By comparing the direct simulation (FE/FV model), RSM, GRNN, PSO-GRNN, and TV/PSO-GRNN, we observe that the TV/PSO-GRNN surrogate model is promising to perform the reliability-based fatigue life prediction of the turbine blisk and enhance the computational efficiency while ensuring an acceptable computational accuracy. The efforts of this study offer a useful insight for the reliability-based design optimization of complex structure.…”
Get full text

Cognitive Interviewing during Pretesting of the Prefinal Afrikaans for the Western Cape Disabilities of the Arm, Shoulder and Hand Questionnaire following Translation and Cross-Cul... by Susan de Klerk, Christina Jerosch-Herold, Helen Buchanan, Lana van Niekerk

“…This study provides confirmation that both pragmatic factors and measurement issues need consideration in an iterative process as part of a reparative methodology towards improving patient-reported measures and ensuring strong content validity.…”
Get full text

Spectral Design Method to Simulate Tunable Spectra of Various Light Sources Based on Multi-Channel LEDs by Zijian Tao, Xiaojie Zhao, Shanshan Li, Qi Dai

“…Lastly, detailed spectral mixing strategies are presented: (i) when using a large number of LED channels, spectral mixing optimization for direct spectral-shape matching ensures favorable outcomes; while (ii) with a limited number of LED channels, solely relying on the effort of matching the spectral shape may lead to a significant deviation in correlated color temperature (CCT). …”
Get full text

Modification of polymers to synthesize thermo-salt-resistant stabilizers of drilling fluids by Artykova Zhadyra, Beisenbayev Oral, Issa Aziza, Kydyraliyeva Aigul

“…The synthesized multifunctional polyelectrolytes, containing sulfonic and sulfomethylated groups, demonstrate improved thermal and salt resistance, ensuring the stability and performance of drilling fluids under harsh conditions.…”
Get full text

Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…Generative adversarial networks (GANs) are used to simulate energy usage scenarios, supporting strategic planning and anomaly detection. Federated learning ensures privacy-preserving data sharing in distributed energy systems, promoting collaboration without compromising security. …”
Get full text

The Impact of Intelligent Delivery Systems and Automated Rail Logistics on the Efficiency and Safety of Clinical Item Transportation: A Observational Studies by Yi Li MN, Ping He BS, Xue-Lian Peng MN, Min Peng BS

“…The integration of the intelligent delivery system with automated track logistics significantly enhances the efficiency of clinical goods transportation, optimizes resource allocation, ensures the safe transport of items, and improves the patient experience and clinical staff satisfaction with delivery operations. …”
Get full text

Monte Carlo Simulations in Nanomedicine: Advancing Cancer Imaging and Therapy by James C. L. Chow

“…The continued evolution of simulation techniques, driven by interdisciplinary collaboration and technological innovation, ensures that MC simulations will remain at the forefront of nanomedicine’s progress.…”
Get full text

Wireless sensor network for fire detection with network coding to improve security and reliability by Johannes Braun, Faouzi Derbel

“…The self-healing, redundant, decentralized routed network ensures uninterrupted functionality in case of a communication failure. …”
Get full text

Transportation Mode Selection Using Reinforcement Learning in Simulation of Urban Mobility by Mehmet Bilge Han Taş, Kemal Özkan, İnci Sarıçiçek, Ahmet Yazici

“…This plays a crucial role in ensuring the efficient utilization of time and resources to achieve the desired objectives. …”
Get full text

Sword of heaven by Richard Wilson

“…Yet, textual research has established Measure for Measure beyond question as a ‘posthumous collaboration’, and ensured we can never go back to the sovereign Shakespeare. …”
Get full text

Mechanical behaviour analysis of cemented tailings rock backfill materials: An insight from mesoscale modelling coupled with damage plasticity model by Chaoyi Yang, Hang Lin, Rugao Gao, Zhengrong Li, Dengjun Gan, Mingwu Liu, Qifan Ren

“…Cemented tailings rock backfill (CTRB) is a promising material for recycling mining solid waste and ensuring the stability of underground stopes. However, a comprehensive understanding of the fracture behaviour of CTRB remains limited. …”
Get full text

IBS as a diverse disease. A comprehensive review by Adrianna Dylik, Weronika Gryczyńska, Mikołaj Musiał, Łukasz Krawczak, Hanna Gulaczyk, Jan Spychalski, Mikołaj Kaczmarek, Wiktoria Grochowska, Maria Spychalska

“…Materials and methods: The analysis is based on a thorough review of peer-reviewed literature published between 2020 and 2025, ensuring the inclusion of the most up-to-date insights. …”
Get full text

Surgical modalities in the treatment of vitiligo by R. Vignesh Narayan, Vishal Thakur

“…Postoperative care, including appropriate dressing and follow-up, plays a significant role in ensuring successful outcomes. Newer techniques, such as automated blister epidermal micrografting and Meek micrografting, show promise in improving efficiency and outcomes. …”
Get full text

Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectroscopy and machine learning by Frank Rhein, Timo Sehn, Michael A. R. Meier

“…A repeated k-fold cross validation ensured unbiased assessment of model accuracy. Using the DS obtained from 1H NMR data as reference, the machine learning model achieved a mean absolute error (MAE) of 0.069 in DS on test data, demonstrating higher accuracy compared to the manual evaluation based on peak integration. …”
Get full text

TDR Technique for Estimating the Intensity of Evapotranspiration of Turfgrasses by Grzegorz Janik, Karol Wolski, Anna Daniel, Małgorzata Albert, Wojciech Skierucha, Andrzej Wilczek, Paweł Szyszkowski, Amadeusz Walczak

“…The values of evapotranspiration calculated on the basis of the presented function can be used as input data for the design of systems for the automatic control of irrigation systems ensuring optimum moisture conditions in the active layer of lawn swards.…”
Get full text

Regional experience in organizing the protection of minors from a destructive information environment (by the example of non-central regions) by S. E. Titor

“…Researchers believe that a comprehensive solution to the problem of ensuring the information security of minors is impossible without coordinated actions of federal and regional authorities. …”
Get full text

Specific Features of Heatand Mass Transfer Processes in Road Dressings by B. M. Khroustalev, Tingguo Liu, V. D. Akeliev, Yu. H. Aliakseyeu, Jicun Shi, V. V. Zankovich

“…The paper presents a fragment of on-going investigations directed on creation of optimum data environment that ensures an access to world scientific journals and other publications which are necessary for qualitative implementation of works on priority directions of R&D in the field of road-construction industry in the period of 2016–2020. …”
Get full text

POTENTIAL FOR THE APPLICATION OF SUGAR CANE BAGASSE AND RICE IN THE REMOVAL OF CONTAMINANTS PRESENT IN THE WATER PRODUCED OF PETROLEUM by Mayra Almeida Cavalcante, Leila Maria de Melo Marques, Fernando Dantas de Santana Junior, Kilton Renan Alves Pereira, Keila Regina Santana Fagundes, Fábio Pereira Fagundes

“…The problem consists in the difficulty of degradation of the compounds to an adequate level that allows the safe disposal in the environment, ensuring the possibility of reuse or disposal in the standards established by the environmental agencies. …”
Get full text

A Two-Stage Robust Optimization Method Based on the Expected Scenario for Islanded Microgrid Energy Management by Qing Duan, Wanxing Sheng, Haoqing Wang, Caihong Zhao, Chunyan Ma

“…In this study, focusing on the energy management of a typical islanded microgrid and considering uncertainties such as the power output of renewable energy sources and the power demand of loads, an expected-scenario-oriented two-stage robust optimization (E-TSRO) method is proposed to alleviate the conservative tendency of the C-TSRO method because the E-TSRO method chooses to optimize the system cost according to the expected scenario instead, while ensuring the feasibility of the first-stage variables for all possible scenarios, including the worst case. …”
Get full text