Significance of Normal Lung Volume on Quantitative CT Imaging Analysis in Group 1 and Group 3 Pulmonary HypertensionTake-home Points by Tadasu Okaya, MD. PhD, Ayako Shigeta, MD. PhD, Nobuhiro Tanabe, MD. PhD, Koichiro Tatsumi, MD. PhD, Hajime Yokota, MD. PhD, Akira Nishiyama, MD. PhD, Akira Naito, MD. PhD, Ayumi Sekine, Toshihiko Sugiura, MD. PhD, Seiichiro Sakao, MD. PhD, Takuji Suzuki, MD. PhD

“…The Kaplan-Meier method and Cox proportional hazards regression were used to detect the association between %NLV and prognosis. …”
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Recent Efficient Iterative Algorithms on Cognitive Radio Cooperative Spectrum Sensing to Improve Reliability and Performance by Mohsen Akbari, Ahmed Wasif Reza, Kamarul Ariffin Noordin, Kaharudin Dimyati, Mohsen Riahi Manesh, Mohammad Nour Hindia

“…This paper focuses on optimality of analytical study on the common soft decision fusion (SDF) CSS based on different iterative algorithms which confirm low total probability of error and high probability of detection in detail. …”
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Identification of pediatric MASLD using insulin resistance indices by Kyungchul Song, Eunju Lee, Hye Sun Lee, Young Hoon Youn, Su Jung Baik, Hyun Joo Shin, Hyun Wook Chae, Ji-Won Lee, Yu-Jin Kwon

“…However, given the study’s retrospective design and variations in diagnostic methods across datasets, further validation in larger, diverse cohorts is warranted to refine age-specific cut-off values and optimize screening approaches.…”
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Leveraging Open-Source Tools to Analyse Ground-Based Forest LiDAR Data in South Australian Forests by Spencer O’Keeffe, Bruce H. Thomas, Jim O’Hehir, Jan Rombouts, Michelle Balasso, Andrew Cunningham

“…Results showed that stratified tool selection, optimized for each forest development stage, achieved high accuracy for inventory, achieving stem detection rates up to 99.1% and errors as low as 0.94 m for height and 1.18 cm for diameter at breast height (DBH) in specific cases. …”
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Western Blotting and Immunoprecipitation of Native Human PIEZO1 Channels by Jinyuan Vero Li, Zijing Zhou, Charles Cox

“…As a result, conventional sample preparation methods seem unsuitable for PIEZO1. For example, heating and sonicating transmembrane proteins exposes hydrophobic regions, leading to aggregation, improper detergent interactions, and loss of solubility, ultimately compromising their detection in western blots. …”
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A robust and efficient approach to estimating the age of secondary mangrove forests employing time-series Landsat images and the CCDC model by Yue Zhang, Xiaoyan Li, Rong Zhang, Lina Cheng, Mingming Jia, Chuanpeng Zhao, Xianxian Guo, Haihang Zeng, Wensen Yu, Qian Shi, Zongming Wang

“…To overcome these challenges, we developed a robust and efficient approach for estimating the age of secondary mangrove forests (ASMF) by integrating Landsat time-series data and the Continuous Change Detection and Classification (CCDC) algorithm. We implemented this method in the Dongzhaigang National Nature Reserve (DNNR), which is the first mangrove nature reserve established in China, achieving a coefficient of determination (R2) of 0.723. …”
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Modified Zuo Gui Wan Ameliorates Ovariectomy-Induced Osteoporosis in Rats by Regulating the SCFA-GPR41-p38MAPK Signaling Pathway by Song C, Yan Q, Ma Y, Li P, Yang Y, Wang Y, Li W, Wan X, Li Y, Zhu R, Liu H, Zhang Z

“…CCK-8 assay was applied to examine the optimal concentration of Modified Zuo Gui Wan drug serum (MZGW-DS) on osteoclasts. …”
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Development of a two-layer 3D equine endometrial tissue model using genipin-crosslinked collagen scaffolds and 3D printing by Sawita Santiviparat, Setthibhak Suthithanakom, Sudchaya Bhanpattanakul, Sayamon Srisuwattanasagul, Kai Melde, Tom A. E. Stout, Theerawat Tharasanit

“…Based on these assessments, 0.5 mM genipin was identified as the optimal concentration and was to develop in vitro 3D-ET. …”
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Applications of quantum computing in clinical care by Stevan C. Fairburn, Stevan C. Fairburn, Lara Jehi, Brenton T. Bicknell, Beckley G. Wilkes, Bharat Panuganti

“…QC holds transformative potential in medicine, particularly through enhancing diagnostic accuracy, optimizing treatment plans, and enabling real-time decision-making.MethodsA systematic analysis of 35 studies published between 2015 and 2024 was conducted. …”
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Mixed hemimicelle dispersive solid-phase extraction of methamphetamine from urine by ionic liquid coated silica nanoparticles by Sepideh Boyaghchi, Arezou Taghvimi, Samin Hamidi, Siavoush Dastmalchi, Asrin Pakravan, Yousef Javadzadeh

“…HPLC-UV method was used to detect and quantify methamphetamines. …”
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Rapid acquisition and surface defects recognition based on panoramic image of small-section hydraulic tunnel by Haoyu Wang, Jichen Xie, Jinyang Fu, Cong Zhang, Dingping Chen, Zhiheng Zhu, Xuesen Zhang

“…Then, by combining YOLOv5-DECA with the direction search algorithm, a “point-ring-section” method is established to allow rapid identification of common surface defects by detecting them layer by layer with the bottom image of the stitched panorama as the seed. …”
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Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm by Jin-Sui Dai, Zhi-Qin He

“…First, data enhancement is implemented in the training strategy to ensure the model’s efficient learning and generalization ability in complex environments; then the Coordinate Attention mechanism is introduced to highlight the key features of the image and improve detail detection; Secondly, the Bidirectional Feature Pyramid Network structure is used to optimize the feature fusion and strengthen the information exchange between different layers through bidirectional connectivity; then, the loss function is optimized to improve the bounding box localization accuracy; and finally, the combined with the binocular vision stereo matching algorithm Semi-Global Block Matching to obtain the spatial location information of Kiwifruit. …”
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Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

“…IntroductionAccurate environmental image classification is essential for ecological monitoring, climate analysis, disaster detection, and sustainable resource management. However, traditional classification models face significant challenges, including high intra-class variability, overlapping class boundaries, imbalanced datasets, and environmental fluctuations caused by seasonal and lighting changes.MethodsTo overcome these limitations, this study introduces the Multi-Scale Attention-Based Environmental Classification Network (MABEC-Net), a novel deep learning framework that enhances classification accuracy, robustness, and scalability. …”
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Implementation of a wireless sensor network for irrigation management in drip irrigation systems by Mehmet Kamil Meriç

“…Traditional irrigation methods often lead to excessive water consumption and uneven water distribution, reducing overall efficiency and sustainability. …”
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Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy by Pang Hai, Zhang Bin, Liu Kesheng, Li Cong, Xu Fei

“…In the first stage, the YOLOv8 algorithm precisely localizes 13 key epiphyses in hand radiographs, achieving a mean Average Precision (mAP) of 99.5% at Intersection over Union (IoU) = 0.5 and 94.0% within IoU 0.5–0.95, demonstrating robust detection performance. The second stage employs a modified EfficientNetB3 architecture for fine-grained epiphyseal grade classification, enhanced by the Rectified Adam (RAdam) optimizer and a composite loss function combining center loss and weighted cross-entropy to mitigate class imbalance. …”
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An empirical study on the evolution and driving factors of energy-related carbon emissions in the Yangtze River Economic Belt by Yi Zhu, Yi Zhu, Xieqihua Liu, Chao Feng, Tao Zhang, Xi Wang

“…The Mann-Kendall trend test and mutation point detection methods are applied to examine emission trends and structural shifts. …”
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AI-Driven Belt Failure Prediction and Prescriptive Maintenance with Motor Current Signature Analysis by João Paulo Costa, José Torres Farinha, Mateus Mendes, Jorge O. Estima

“…Through the integration of motor current signature analysis (MCSA) and machine learning algorithms, particularly long short-term memory (LSTM) networks, this study aims to predict and detect belt degradation in real time. The methodology involves the collection and pre-processing of raw spectral data from industrial assets, followed by the training and optimization of predictive models. …”
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The self supervised multimodal semantic transmission mechanism for complex network environments by Jiajun Zou, Zhiping Wan, Feng Wang, Shitong Ye, Shaojiang Liu

“…The receiving end combines Transformer and graph neural networks for deep decoding and feature fusion of multimodal data, while also using reinforcement learning self-supervised multi-task optimization engine to collaboratively enhance multiple task scenarios (such as traffic accident detection and vehicle behavior recognition). …”
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Real-Time Hand Gesture Recognition in Clinical Settings: A Low-Power FMCW Radar Integrated Sensor System with Multiple Feature Fusion by Haili Wang, Muye Zhang, Linghao Zhang, Xiaoxiao Zhu, Qixin Cao

“…Innovations include dynamic clutter suppression and multi-path cancellation optimized for complex clinical environments. Experimental validation demonstrates high performance, achieving 98% detection recall and 93.87% classification accuracy under LOSO cross-validation. …”
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Determination of Pyrethroids in Paris polyphylla Sample by High-Performance Liquid Chromatography Using Ultrasound-Assisted Magnetic Solid-Phase Extraction by Wei Zhang, Xin Zhao, Hengling Meng, Jin Yang, Xiang Wei, Yong Min

“…This method is much faster and more effective than traditional SPE methods, and it is promising for the analysis of pyrethroids residues.…”
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