The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

“…The system comprises four functional modules including multi-channel active surveillance, intelligent early warning, data-driven risk assessment, and smart emergency response. …”
Get full text

Standard: human liver-on-a-chip by Haitao Liu, Xu Zhang, Yaqing Wang, Min Zhang, Peng Wang, Jing Shang, Zhongqiang Li, Likun Gong, Xin Xie, Dongyang Liu, Jingbo Pi, Xinghua Gao, Xianliang Li, Wei Ding, Dianbing Wang, Yun Long, Lan Wang, Song Li, Xingchao Geng, Pingkun Zhou, Wanjin Tang, Xian’en Zhang, Chunying Chen, Shengli Yang, Jianhua Qin

“…However, the lack of standardized definitions, structural designs, cell sources, model constructions, and functional validations has posed challenges to their widespread translational applications. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Anti-inflammatory and barrier repair mechanisms of active components in Daemonorops draco Bl. for UVB-induced skin damage by Xingyi Wu, Ying Zhang, Fan Yi, Zaijun Geng, Miaomiao Guo, Xiao Ling, Jun Li, Li Li

Get full text

Insights from lncRNAs Profiling of MIN6 Beta Cells Undergoing Inflammation by Chuntao Sun, Lihua Xue, Ziyang Zhu, Fan Zhang, Ruixue Yang, Xuewen Yuan, Zhanjun Jia, Qianqi Liu

“…This study may be utilized as a background or reference resource for future functional studies on lncRNAs related to the diagnosis and development of new therapies for T1DM.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

Current trends in neurocritical care: a comprehensive review by Vinothini Murugaiyan, Kingston Samraj Kirubakaran Jebaraj, Srinivas Kalaiselvan

“…Continuous neuromonitoring using tools like electroencephalogram and intracranial pressure monitoring offers real-time data on brain function, aiding in the early detection of complications. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Research Status and Development Trend of Deep-sea Work Class ROV in China by SHEN Ke, YAN Yun, YAN Hongwen

“…Deep-sea work class ROV plays an important role in marine exploration, resource development and marine environment protection. …”
Get full text

Bovine PMN responses to extracellular vesicles released by Besnoitia besnoiti tachyzoites and B. besnoiti-infected host cells by Gabriel Espinosa, Constanza Salinas-Varas, Lisbeth Rojas-Barón, Christian Preußer, Elke Pogge von Strandmann, Ulrich Gärtner, Iván Conejeros, Carlos Hermosilla, Anja Taubert

“…Therefore, we tested whether exposure of bovine PMN to EVs from different cellular sources affects classical PMN effector functions and cytokine/chemokine secretion. …”
Get full text

Mobile phone encryption as an obstacle in criminal investigation: Review of comparative solutions by Pisarić Milana

“…In detecting criminal offences, the police increasingly rely on electronic evidence. …”
Get full text

Maximum Entropy Principle Based on Bank Customer Account Validation Using the Spark Method by Xiaorong Qiu, Ye Xu, Yingzhong Shi, S. Kannadhasan Deepa, S. Balakumar

“…This research works in the field of money laundering detection from real bank data. Banking data analysis is a complex process that involves information gathered from various sources, mainly in terms of personality, such as bills or bank account transactions which have qualitative characteristics such as the testimony of eyewitnesses. …”
Get full text

Methods to account for incomplete viewsheds in distance sampling by David M. Delaney, Tyler M. Harms, Jonathan P. Harris, Dan J. Kaminski, Jace R. Elliott, Stephen J. Dinsmore

Get full text

A survey on the applications of transfer learning to enhance the performance of large language models in healthcare systems by Anmol Rahujo, Daniya Atif, Syed Azeem Inam, Abdullah Ayub Khan, Sajid Ullah

“…This research analyzes different transfer learning methods, including inductive, transductive, and unsupervised techniques, while demonstrating their effectiveness in detecting COVID-19 from chest X-rays and multi-source disease evaluation. …”
Get full text