MPVT: An Efficient Multi-Modal Prompt Vision Tracker for Visual Target Tracking by Jianyu Xie, Yan Fu, Junlin Zhou, Tianxiang He, Xiaopeng Wang, Yuke Fang, Duanbing Chen

“…However, this approach suffers from low transfer learning efficiency, catastrophic forgetting, and high cross-task deployment costs. To address these issues, we propose an efficient model named multi-modal prompt vision tracker (MPVT) based on an efficient prompt-tuning paradigm. …”
Get full text

A Novel Phase Error Estimation Method for TomoSAR Imaging Based on Adaptive Momentum Optimizer and Joint Criterion by Muhan Wang, Silin Gao, Xiaolan Qiu, Zhe Zhang

“…Compared to conventional phase error calibration methods in a two-step iterative framework, our proposed method considers image features and parameter coupling relationships, thus achieving higher precision estimation while saving computational costs. Finally, we demonstrate the effectiveness and applicability of the proposed method based on simulation experiments and real data experiments of the SARMV3D dataset.…”
Get full text

A 3.3 kV SiC Semi-Superjunction MOSFET with Trench Sidewall Implantations by Marco Boccarossa, Kyrylo Melnyk, Arne Benjamin Renz, Peter Michael Gammon, Viren Kotagama, Vishal Ajit Shah, Luca Maresca, Andrea Irace, Marina Antoniou

“…These results underscore the potential of tilted trench SSJ designs to significantly enhance the performance of SiC SSJ MOSFETs for high-voltage power electronics while simplifying fabrication and lowering costs.…”
Get full text

An explainable AI-based framework for predicting and optimizing blast-induced ground vibrations in surface mining by Charan Kumar Ala, Zefree Lazarus Mayaluri, Aman Kaushik, Nikhat Parveen, Surabhi Saxena, Abu Taha Zamani, Debendra Muduli

“…A multiobjective optimization scheme is employed to balance competing goals: minimizing peak particle velocity (PPV), maximizing fragmentation efficiency, and reducing operational costs. Crucially, the framework incorporates Explainable AI (XAI) techniques such as Shapley Additive Explanations (SHAP) and Local Interpretable Model Agnostic Explanations (LIME) and uncertainty quantification (UQ) methods based on Bayesian Neural Networks to provide insight into model decisions and confidence in predictions. …”
Get full text

Identifying glyphosate-tolerant maize by soaking seeds in glyphosate solution by Shu-feng YAN, Sher Muhammad, Hai-fang LIU, Shuang-gui TIE, Shu-ku SUN

“…The identification of glyphosate-tolerant maize genotypes by field spraying with glyphosate is time-consuming, costly and requires treatment of a large area. We report a potentially better technique of seed-soaking to identify glyphosate-tolerant maize genotypes. …”
Get full text

Self-Supervised Learning of End-to-End 3D LiDAR Odometry for Urban Scene Modeling by Shuting Chen, Zhiyong Wang, Chengxi Hong, Yanwen Sun, Hong Jia, Weiquan Liu

“…While deep learning offers solutions, current approaches for point cloud alignment exhibit key limitations: self-supervised losses often neglect inherent alignment uncertainties, and supervised methods require costly pixel-level correspondence annotations. To address these challenges, we propose UnMinkLO-Net, an end-to-end self-supervised LiDAR odometry framework. …”
Get full text

Hydrocortisone for the prevention of postoperative delirium in digestive surgery (HyPOD): study protocol for a multicentre randomised, blinded, placebo-controlled trial by Yumi Suzuki, Masahiko Ando, Yukihiro Yokoyama, Tomoki Ebata, Yachiyo Kuwatsuka, Tsukasa Aritake, Yuji Shingu, Koichi Akiyama

“…Introduction Postoperative delirium (POD) is a significant complication in digestive surgery, potentially increasing hospital stays, costs and mortality. Corticoids, such as dexamethasone and methylprednisolone, have been reported to reduce POD. …”
Get full text

A Machine Learning-Based Method for Pig Weight Estimation and the PIGRGB-Weight Dataset by Xintong Ji, Qifeng Li, Kaijun Guo, Weihong Ma, Mingyu Li, Zhankang Xu, Simon X. Yang, Zhiyu Ren

“…Traditional pig weighing methods are costly, require driving pigs onto electronic scales, and cannot collect real-time data without interference. …”
Get full text

Towards MR-Only Radiotherapy in Head and Neck: Generation of Synthetic CT from Zero-TE MRI Using Deep Learning by Souha Aouadi, Mojtaba Barzegar, Alla Al-Sabahi, Tarraf Torfeh, Satheesh Paloor, Mohamed Riyas, Palmira Caparrotti, Rabih Hammoud, Noora Al-Hammadi

“…This study investigates the generation of synthetic CT (sCT) images from zero echo time (ZTE) MRI to support MR-only radiotherapy, which can reduce image registration errors and lower treatment planning costs. Since MRI lacks the electron density data required for accurate dose calculations, generating reliable sCTs is essential. …”
Get full text

CONCRETE COMPOSITES USING GRAND-SANDY MIXTURES OF DEPOSITS OF THE CHECHEN REPUBLIC by A. Kh. Alaskhanov, S.-A. Yu. Murtazaev, M. S. Saidumov, M. S.-M. Khubaev

“…The rheological indices of concrete mixes were studied and the dynamics of the curing of concrete of different classes were obtained on the basis of unfortified sand and gravel mixtures in the presence of a chemical additive, the superplasticizer Polyplast SP-1.Conclusion It is proposed to use sand-gravel in its natural form in concrete for non-critical structures in its natural form without additional costs for enriching its composition. The feasibility of obtaining low-grade concrete with the use of sand and gravel mixtures without its enrichment and fractionation is established.…”
Get full text

Experimental evaluation of thermal performance of innovative cement blocks made from construction waste in hot climate scenarios by Hatem Mahmoud, Ewald Kuoribo, Nourhan M. Waly

“…These results suggest that building facades can reduce cooling loads and decrease operational costs for buildings in hot climates. This could also inform future building codes and standards, encouraging the adoption of eco-friendly building materials.…”
Get full text

Unlocking the Potential of Artificial Intelligence in Pharma Research and Development: Insights from Investor and Researcher Perspectives by Iakovos Kritikos, Andreas Sarantopoulos, Anastasios Roumeliotis, Julia Vasiliades, Ioannis Matsinas

“…Findings indicate that while artificial intelligence improves productivity – in predictive modeling and data analysis – barriers such as high infrastructure costs, inadequate training, and regulatory uncertainty persist. …”
Get full text

Advancements in Diagnosing Talaromycosis: Exploring Novel Strategies and Emerging Technologies by Yihui Wang, Xiaoyue Wang, Liyan Xi, Sha Lu

“…TM often has vague clinical signs with limited current tests, leading to misdiagnosis, incorrect treatments, or the long-term use of expensive antifungal drugs, which raises healthcare costs and patient risks. Although accurate diagnosis is key for starting the right antifungal therapy and improving outcomes, there are not enough reliable and fast tests. …”
Get full text

Debating wine health-warning labels using Q methodology by Francesco Solfanelli, Serena Mandolesi, Ileana Silvestri, Simona Naspetti, Raffaele Zanoli

“…In Europe, alcohol-related diseases have an increasingly high impact on healthcare costs every year. Hence, rising consumer consciousness regarding the risks and harms of drinking alcohol is a primary goal of the EU Commission. …”
Get full text

Enhancing FMCW Radar Gesture Classification With Physically Interpretable Data Augmentation by Alessandra Fusco, Zain Amir Zaman, Souvik Hazra, Lorenzo Servadei, Robert Wille

“…By simulating variations in hand gesture distance, angle, duration, and noise, the framework improves model generalization while reducing the need for extensive and costly data collection. The augmentation techniques employed in this research include time scaling, range and angle transformation, and noise injection, effectively simulating different gesture speeds, orientations, distances, and interference levels. …”
Get full text

Optimization of multi-energy storage in urban building clusters by Sameer Algburi, Aymen Mohammed, Hassan Falah Fakhruldeen, Ibrahim Abdullah, Israa Alhani, Ali Khudhair, Qusay Hassan, Michael Ssebunya, Feryal Ibrahim Jabbar

“…A thermal energy storage tank capacity of 4651 kWh, coupled with a battery storage unit of 342 kWh, demonstrated a 35 % decrease in energy costs. Demand response participation increased by 45 % through strategic use of pre-cooling routines and temperature reset controls. …”
Get full text

Direct detection with an optimal transfer function: toward the electrical spectral efficiency of coherent homodyne detection by Xingfeng Li, Jingchi Li, Xiong Ni, Hudi Liu, Qunbi Zhuge, Haoshuo Chen, William Shieh, Yikai Su

“…Complex-valued double-sideband direct detection (DD) can reconstruct the optical field and achieve a high electrical spectral efficiency (ESE) comparable to that of a coherent homodyne receiver, and DD does not require a costly local oscillator laser. However, a fundamental question remains if there is an optimal DD receiver structure with the simplest design to approach the performance of the coherent homodyne detection. …”
Get full text

Remote Non-Destructive Testing of Port Cranes: A Review of Vibration and Acoustic Sensors with IoT Integration by Jan Lean Tai, Mohamed Thariq Hameed Sultan, Rafał Grzejda, Farah Syazwani Shahar

“…This integration not only overcomes the limitations of traditional non-destructive testing methods, but also offers substantial benefits, including enhanced safety, reduced inspection costs, and improved operational efficiency. This review concludes by proposing future research directions to enhance sensor performance, data analytics, and Internet of Things integration, paving the way for predictive maintenance strategies that increase operational uptime and improve safety in port crane operations.…”
Get full text

A secure routing protocol for improving the energy efficiency in wireless sensor network applications for industrial manufacturing by Edeh Michael Onyema, S. Kanimozhi Suguna, B. Sundaravadivazhagan, Rutvij H. Jhaveri, Ugwuja Nnenna Esther, Edeh Chinecherem Deborah, K. Shantha Kumari

“…This study aims to improve network lifetime, save operational costs, and increase the security and reliability of industrial monitoring systems by proposing a secure and energy-efficient routing protocol. …”
Get full text

Green Apple Detector Based on Optimized Deformable Detection Transformer by Qiaolian Liu, Hu Meng, Ruina Zhao, Xiaohui Ma, Ting Zhang, Weikuan Jia

“…Green apple detection technology greatly diminishes the need for manual labor, cutting costs and time, while enhancing the automation and efficiency of sorting processes. …”
Get full text