Multimodal learning for enhanced SPECT/CT imaging in sports injury diagnosis by Zhengzheng Jiang, YaWen Shen

“…IntroductionSingle-photon emission computed tomography/computed tomography (SPECT/CT) imaging plays a critical role in sports injury diagnosis by offering both anatomical and functional insights. However, traditional SPECT/CT techniques often suffer from poor image quality, low spatial resolution, and limited capacity for integrating multiple data sources, which can hinder accurate diagnosis and intervention.MethodsTo address these limitations, this study proposes a novel multimodal learning framework that enhances SPECT/CT imaging through biomechanical data integration and deep learning. …”
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AiWatch: A Distributed Video Surveillance System Using Artificial Intelligence and Digital Twins Technologies by Alessio Ferone, Antonio Maratea, Francesco Camastra, Angelo Ciaramella, Antonino Staiano, Marco Lettiero, Angelo Polizio, Francesco Lombardi, Antonio Junior Spoleto

“…Recent advancements in this technology have led to enhanced functionality, remarkable accuracy, and reduced costs for consumers. …”
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Global analysis of CP $$ \mathcal{CP} $$ -violation in atoms, molecules and role of medium-heavy systems by Konstantin Gaul, Robert Berger

“…Abstract Detection of parity P $$ \left(\mathcal{P}\right) $$ and time-reversal T $$ \left(\mathcal{T}\right) $$ symmetry-odd electric dipole moments (EDMs) within currently achievable resolution would evidence physics beyond the Standard Model of particle physics. …”
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Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Indu Sekhar Samanta, Pravat Kumar Rout, Kunjabihari Swain, Satyasis Mishra, Murthy Cherukuri

“…The widespread integration of renewable energy sources (RESs) into power systems using power electronics-based interface devices has led to a substantial rise in power quality (PQ) issues. …”
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Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation by Oriel Kiss, Utkarsh Azad, Borja Requena, Alessandro Roggero, David Wakeham, Juan Miguel Arrazola

“…Additionally, we provide quantitative resource estimates, demonstrating a constant factor improvement in the number of samples required to detect a specified change in CDF. …”
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Advances in key technologies for the management, restoration, development, and utilization of coal mining subsidence areas by Zhuanghan MENG, Yutao WANG, Yanzhe TIAN

“…BackgroundCoal mining subsidence areas, formed by the exploitation of coal resources, have emerged as severe challenges to the construction of ecological civilization and the sustainable development of the social economy in China. …”
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Complexity of immunobiology of tumor necrosis factor and novel anti-TNF therapy by S. А. Nedospasov

“…Systemic anti-cytokine therapy is known to be accompanied by undesirable side effects, which can hypothetically be explained by the neutralization of these protective functions. Thus, we developed prototypes of TNF blockers which limit the bioavailability of this cytokine only from its main “pathogenic” source – myeloid cells. …”
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Electrochemical creatinine determination with metal-organic framework catalyst based on copper and acetylenedicarboxylic acid by Andrei V. Okhokhonin, Alsu A. Ibatullina, Yulia V. Izmozherova, Marina I. Stepanova, Anatoliy I. Matern, Alisa N. Kozitsina

“…CuADCA was synthesized by deprotonation with triethylamine for the first time. Successful synthesis was confirmed by FTIR and EDS. …”
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Leveraging Blockchain Technology With Enhanced MDSVA for Robust Meteorological Sensor Data Validation by Md Abdullah Al Mamun, Mei Li, Bijon Kumar Pramanik, Faisal Hussain, A. Z. M. Shakilur Rahman

“…Our enhanced MDSVA introduces a sophisticated five-component validation function that simultaneously addresses drift and noise compensation, environmental adaptation, periodic variations, dynamic thresholds, and transient adjustments. …”
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LeafDPN: An Improved DPN Model for the Identification of Bacterial Blight in Soybean in Natural Environments by Rui Cong, Ying Xu, Hao Su, Jiaying Zhou, Yuxi Hu, Dawei Xin, Qingshan Chen, Rongsheng Zhu, Shuang Song

“…<i>glycinea</i>, is one of the most devastating diseases in soybean with significant yield losses ranging from 4% to 40%. The timely detection of BBS is the foundation for disease control. …”
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Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol by Mohammad A. Al Khaldy, Ahmad Nabot, Ahmad al-Qerem, Issam Jebreen, Abdulbasit A. Darem, Asma A. Alhashmi, Mohammad Alauthman, Amjad Aldweesh

“…The RL-based mechanism continuously adapts decision-making by learning from system states, prioritizing transactions, and dynamically resolving conflicts using a reward function that accounts for key performance parameters, including the number of conflicting transactions, cost of aborting transactions, temporal validity constraints, and system resource utilization. …”
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Assessing chronic obstructive pulmonary disease risk based on exhalation and cough sounds by Geyi Wen, Chenshuo Wang, Wei Zhao, Jinliang Meng, Yanyan Xu, Ruiqi Wang, Zijing Zeng

“…Following this, each individual completed pulmonary function tests and participated in questionnaire surveys. …”
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Mitochondrial genome of Lonicera macranthoides: features, RNA editing, and insights into male sterility by Zhong Chen, Wei Zhuo, Yuqi Wang, Junpeng Qi, Li Liu, Sheng’E. Lu, Han Wang, Tao Sun, Liqiang Wang, Fengming Ren, Fengming Ren

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High-Voltage CVT Fault Diagnosis Based on Effective Data Recognition and Multi-dimensional Information Fusion by Huishan ZHANG

“…In view of the poor identification of the effective data in online monitoring of high-voltage capacitor voltage transformer (CVT), this paper proposes a method for effective data identification based on the analysis of data correlation coefficients, with utilization of the data characteristics that multiple online monitoring data sources exhibit linear correlation. To address the prevalent problem in current high-voltage CVT fault diagnosis, such as limited information sources, poor accuracy, and significant interference in partial discharge devices leading to compromised fault signal detection and accuracy, a fault diagnosis method based on multi-dimensional information fusion is proposed. …”
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What is the pathophysiology of inflammation-induced cortical injury in the perinatal brain? by Sharmony B. Kelly, Alistair J. Gunn, Rodney W. Hunt, Robert Galinsky

“…The combined use of early electroencephalography monitoring with neuroimaging techniques that enable detailed evaluation of brain microstructure, and the use of therapeutics that successfully target systemic and central nervous system inflammation could provide an effective strategy for early detection and therapeutic intervention.…”
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From the WHO framework to integrated senior health and wellness hub program: an implementation journey by Xiaoting Huang, Xiaoting Huang, Hao Yi Tan, Hao Yi Tan, Hao Yi Tan, Pei Ling Er, Amber Wong, Si Qi Lim, Joshua Kuan Tan, Wan Qi Yee, Xiaohui Xin, Lian Leng Low

“…IntroductionAs global populations age, ensuring older adults maintain functional ability and wellbeing is a critical public health priority. …”
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Identification of key genes associated with mesocotyl length through a genome-wide association study in rice by Li Xue, Li Xue, Sen Wang, Sen Wang, Qiuyu Zhang, Qiuyu Zhang, Bing Han, Di Cui, Longzhi Han, Jianxin Deng, Xiaoding Ma

“…In this study, 300 rice germplasm resources with a wide range of sources were selected as experimental materials. …”
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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

“…Once the algorithms had reached a state of stability, the average localization error of the LDIABC algorithm was also the lowest, which indicated that the LDIABC algorithm effectively solved the issues present in the traditional artificial bee colony algorithm. In terms of the success rate of node localization, the LDIABC algorithm exhibits a higher success rate than the Tent-IABC, ELOABC, CODEGWO and SAPSO algorithms, with a success rate of up to 95%. …”
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Specific performance of IDT edge fingers by E. DANICKI, T, GAFKA

“…The theory shows that the edge strips of the system works differently as compared with these positioned inside the system. The familiar δ-function model however, can still be applied provided that the δ-sources of SAW are properly scaled and shifted from their position at the centres of the strips. …”
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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…In recent years microgrid technology has created widespread interest for the integration of renewable energy sources into main utility grid to supply clean energy to the end users. …”
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