On-site Determination of Lithium in Hot Spring Water by Portable Li-K Analyzer by Xiao LIU, Xiuchun ZHAN

“…However, hot springs are mainly distributed in remote areas such as Xizang and Yunnan, where the cost of sample transportation and laboratory testing is high and the efficiency is low, so the exploration of lithium resources urgently needs the support of on-site analysis technology. …”
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Research on Coordinated Oscillation Control Strategy of AC/DC Hybrid Distribution Network Based on Mixed-Integer Linear Programming by Shumin Sun, Peng Yu, Jiawei Xing, Yuejiao Wang, Song Yang

“…In addition, when simulating a single-phase fault, compared with the case without this method, this method can locate the fault area more accurately and significantly improve the reliability of fault detection. The significance of this study is to provide an effective mathematical model and control strategy to deal with the complex dynamic behavior of AC-DC hybrid distribution network. …”
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Cotton Weed-YOLO: A Lightweight and Highly Accurate Cotton Weed Identification Model for Precision Agriculture by Jinghuan Hu, He Gong, Shijun Li, Ye Mu, Ying Guo, Yu Sun, Tianli Hu, Yu Bao

“…In this paper, a novel weed recognition model, Cotton Weed-YOLO, is proposed to improve the accuracy and efficiency of weed detection. CW-YOLO is based on YOLOv8 and introduces a dual-branch structure combining a Vision Transformer and a Convolutional Neural Network to address the problems of the small receptive field of the CNN and the high computational complexity of the transformer. …”
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Hybrid neural network method for damage localization in structural health monitoring by Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Sven Tomforde, Frank Wuttke

“…This design choice results in a more streamlined and efficient architecture. Our experimental results reveal an accuracy of 78.9%, which, while slightly lower than the performance of conventional CNN models, underscores the potential of RNN layers in crack detection tasks. …”
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Lantern-Explorer: A Collision-Avoidance Autonomous Exploration Drone System Based on Laser SLAM with Optimized Hardware and Software by L. Zhu, L. Zhu, R. Zhong, R. Zhong, D. Xie, D. Xie, X. Yuan, X. Yuan

“…To address this, we propose Lantern-Explorer, an autonomous exploration drone system optimized for both hardware and software based on LiDAR SLAM, to balance exploration efficiency and mapping accuracy in complex environments. …”
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Calibration-free picosecond LIPS for quantifying heavy metals in soils near Egyptian industrial sites by Mohamed El-Saeed, Walid Tawfik, Ahmed A. I. Khalil, Manal Mubarak, Mohamed Fikry

“…Abstract Excessive fertilizer and chemical usage have led to soil contamination by toxic heavy metals near the Abu-Zaabal industrial complex in Egypt. We introduce a groundbreaking calibration-free methodology using ultrafast Picosecond Laser-Induced Plasma Spectroscopy (CF-Ps-LIPS) for quantifying contaminant elements (Cd, Zn, Fe, Ni) in soils near Egypt’s Abu-Zaabal industrial complex. …”
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Exploring the extraction capabilities of natural cyclodextrin-nanosponges: The improvement moving from α- to γ-cyclodextrin-based polymers by Nina Felli, Davide Filardi, Riccardo Sergi, Luisa Maria Migneco, Massimo Giuseppe De Cesaris, Lorenzo Antonelli, Iolanda Francolini, Alessandra Gentili

“…Cyclodextrins (CD) are cyclic oligosaccharides known for their capability to form inclusion complexes with molecules of appropriate size. CDs can also be used as polyfunctional monomers in polymerization reactions to prepare specialised sorbents with characteristics of biodegradability. …”
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Research on the Remanence Measurement Method of Transformers Based on the Degaussing Hysteresis Loop by Dingyuan Li, Jing Zhou, Zhanlong Zhang, Yu Yang, Zijian Dong, Wenhao He, Xichen Pei, Jiatai Gao, Siyang Chen, Zhicheng Pan

“…This method does not require complex control strategies, has high precision and efficiency, and can provide reliable technical support for residual magnetism detection and suppression of off-grid power transformers.…”
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Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

“…The experimental results demonstrate that the algorithm accurately identifies and locates the picking points of string tomatoes under complex background conditions, with the identification success rate of the picking points reaching 91.3%. …”
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A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks by Vikram S. Ingole, Ujwala A. Kshirsagar, Vikash Singh, Manish Varun Yadav, Bipin Krishna, Roshan Kumar

“…Thus, the fusion of Convolutional Neural Networks with Recurrent Neural Networks and Graph Networks enhances the efficiency of the detection process.…”
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TCCFNet: a semantic segmentation method for mangrove remote sensing images based on two-channel cross-fusion networks by Lixiang Fu, Yaoru Wang, Shulei Wu, Jiasen Zhuang, Zhongqiang Wu, Jian Wu, Huandong Chen, Yukai Chen

“…Furthermore, TCCFNet excels in distinguishing similar categories, handling complex backgrounds, and improving boundary detection. …”
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Research on intelligent segmentation method of coal body CT image fracture based on CBAM-UNet by Shuang Song, Yilun Xue, Suinan He, Xiang Ji, Xinshuang Cao, Guoying Liu, Juntao Chen, Hongjiao Chen

“…Current coal CT image fracture segmentation faces multiple challenges, including complex fracture morphology, difficulties in micro-fracture detection, and similar gray values between fractures and coal matrices, resulting in low efficiency of traditional segmentation methods. …”
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CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

“…In recent years, the convolutional neural network (CNN) framework and transformer models have demonstrated strong performance in HSI classification, especially in applications requiring precise change detection and analysis. However, due to the high dimensionality of HSI data and the complexity of spectral-spatial feature extraction, achieving accurate results in coastal areas remains challenging. …”
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CrackdiffNet: A Novel Diffusion Model for Crack Segmentation and Scale-Based Analysis by Yunlong Song, Yumeng Su, Shiying Zhang, Ruilin Wang, Youling Yu, Weiping Zhang, Qi Zhang

“…These innovations collectively advance crack segmentation technology and provide a new solution for efficient crack detection in practical applications.…”
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Water transfer printing for integrating substrate-free temperature sensors onto curvilinear surfaces by R. Selmi, J. C. Fustec, F. Le Bihan, M. Harnois

“…This approach enables the fabrication of flexible temperature sensors on complex surfaces, exhibiting electrical performance comparable to conventional sensors, with a temperature coefficient of resistivity (TCR) of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M3" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">3.0</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mrow><mo>-</mo><mn mathvariant="normal">3</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="50091dda1ceb2bc1a163192c01b209d9"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jsss-14-133-2025-ie00002.svg" width="51pt" height="14pt" src="jsss-14-133-2025-ie00002.png"/></svg:svg></span></span> °C<span class="inline-formula">⁻¹</span>. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Machine learning models can process complex datasets, identify hidden patterns, and facilitate early risk detection, enabling banks to implement preventive measures before risks materialize. …”
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Research status and progress on key technologies of intelligent orchard by CUI Hongwei, LU Xiaoxuan, YANG Yaqing, LU Xinyi, MA Hao, JI Jiangtao, JIN Xin, LI Xiuzhen, ZHAO Zimeng, ZENG Ningning

“…Additionally, smart harvesting systems use fruit maturity detection to schedule harvests efficiently, improving productivity while reducing fruit damage. …”
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A New Joint Denoising Algorithm for High-G Calibration of MEMS Accelerometer Based on VMD-PE-Wavelet Threshold by Huiliang Cao, Zekai Zhang, Yu Zheng, Hao Guo, Rui Zhao, Yunbo Shi, Xiujian Chou

“…Recently, the High-G MEMS accelerometer (HGMA) has been used in navigation, mechanical property detection, consumer electronics, and other fields widely. …”
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Education and Symptom Reporting in an mHealth App for Patients With Cancer: Mixed Methods Development and Validation Study by Carolina Muñoz Olivar, Miguel Pineiro, Juan Sebastián Gómez Quintero, Carlos Javier Avendaño-Vásquez, Pablo Ormeño-Arriagada, Silvia Palma Rivadeneira, Carla Taramasco Toro

“…Current cancer therapies, notably chemotherapy, pose challenges due to their side effects. The early detection and management of the side effects are vital but complex. …”
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Comparative study of the profile of supragingival dental plaque and tooth decay in patients with lupus erythematosus and rheumatoid arthritis by Aida Mehdipour, Maryam Masoumi, Roohollah Fateh, Mohammad Aghaali, Faezeh Mohammadidana, Ali Saleh, Alireza Rasouli, Faezeh Kabiri

“…Abstract Background and objectives Systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) are complex autoimmune diseases that present with a range of systemic and oral manifestations including dental decay and alterations in the oral microbiome profile. …”
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