Support vector regression model for the prediction of buildings’ maximum seismic response based on real monitoring data by Dongwang Tao, Shizhe Fang, Haixu Liu, Jianqi Lu, Jiang Wang, Qiang Ma

“…Our results demonstrate that SVR-MDR model outperform other machine learning models such as kernel ridge regression and decision tree models, and SVR-MDR and RSVR-MDR models outperform conventional loglinear regression and multinomial models, because SVR can map the complex nonlinear function of multiple variables and consider the available information of buildings especially the fundamental frequency. …”
Get full text

CSSA-YOLO: Cross-Scale Spatiotemporal Attention Network for Fine-Grained Behavior Recognition in Classroom Environments by Liuchen Zhou, Xiangpeng Liu, Xiqiang Guan, Yuhua Cheng

“…Under a student-centered educational paradigm, project-based learning (PBL) assessment requires accurate identification of classroom behaviors to facilitate effective teaching evaluations and the implementation of personalized learning strategies. …”
Get full text

A Fast Recognition Method for Space Targets in ISAR Images Based on Local and Global Structural Fusion Features with Lower Dimensions by Hong Yang, Yasheng Zhang, Wenzhe Ding

“…So, in the practical application process, the target recognition accuracy is no longer affected by trace function, LBP feature block number selection, and other factors, realizing the high robustness of the algorithm. …”
Get full text

NMD-FusionNet: a multimodal fusion-based medical imaging-assisted diagnostic model for liver cancer by Qing Ye, Minghao Luo, Jing Zhou, Chunlei Cheng, Lin Peng, Jia Wu

“…To address these challenges, this study proposes NMD-FusionNet, a deep learning-based framework for liver cancer image segmentation and diagnosis. …”
Get full text

Navigating complexity: a conceptual framework for simulation interventions by Anders L. Schram, Tine Brink Henriksen, Helle Terkildsen Maindal, Victoria Brazil

“…The three components function across organizational levels, supporting a dynamic and adaptive approach to addressing healthcare system challenges. …”
Get full text

Clinical parameters that predict a premature LH rise in patients undergoing ovarian stimulation for IVF by Maya Nasatzky, Yonathan Belicha, Ofer Fainaru

“…Background: Normal reproductive function requires adequate regulation of follicle stimulating hormone (FSH) and luteinizing hormone (LH) secretion. …”
Get full text

A dynamic attention mechanism for road extraction from high-resolution remote sensing imagery using feature fusion by Haoming Bai, Chao Ren, Zhenzhong Huang, Yao Gu

“…Compared with traditional road detection methods, deep learning-based approaches have demonstrated significant advantages in road extraction from remote sensing imagery. …”
Get full text

Smart IoT-driven precision agriculture: Land mapping, crop prediction, and irrigation system. by Gourab Saha, Fariha Shahrin, Farhan Hasin Khan, Mashook Mohammad Meshkat, Akm Abdul Malek Azad

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
Get full text

A generative deep neural network for pan-digestive tract cancer survival analysis by Lekai Xu, Tianjun Lan, Yiqian Huang, Liansheng Wang, Junqi Lin, Xinpeng Song, Hui Tang, Haotian Cao, Hua Chai

“…With the rapid advancement of artificial intelligence, various machine learning algorithms have been successfully applied in this field. …”
Get full text

Complex Large-Deformation Multimodality Image Registration Network for Image-Guided Radiotherapy of Cervical Cancer by Ping Jiang, Sijia Wu, Wenjian Qin, Yaoqin Xie

“…On the basis of deep learning, bistructural morphology is added to the model to train the pelvic area registration evaluator, and the model can obtain parameters covering large deformation for loss function. …”
Get full text

Prediction of pathogenic mutations in human transmembrane proteins and their associated diseases via utilizing pre-trained Bio-LLMs by Lexin Cao, Lijun Quan, Qiufeng Chen, Bei Zhang, Zhijun Zhang, Liangchen Peng, Junkai Wang, Yelu Jiang, Liangpeng Nie, Geng Li, Tingfang Wu, Qiang Lyu

“…Abstract Missense mutations can disrupt the structure and function of membrane proteins, potentially impairing key biological processes and leading to various human diseases. …”
Get full text

Attention-enhanced StrongSORT for robust vehicle tracking in complex environments by Wei Xu, Xiaodong Du, Ruochen Li, Bingjie Li, Yuhu Jiao, Lei Xing

“…Second, the F-EIoU loss function introduces dynamic size-dependent penalty terms and difficulty-adaptive weighting factors, effectively balancing learning priorities between small targets and normal instances. …”
Get full text

Cognitive enhancing effect of an extract of Swertia chirata against memory impairment induced by aluminum chloride by Reena Deshmukh, Manisha Jaiswal, Anshita Shukla, Umesh Patil, Mukesh Sharma

“…Additionally, the ethanolic extract demonstrated a reduction in transfer latency in the elevated plus maze (EPM) in the AlCl3-induced amnesia paradigm, indicating an improvement in cognitive function. Conclusion: In experimental models, the ethanolic extract of Swertia chirata significantly (p < 0.05) reversed AlCl3-induced amnesia and improved learning and memory. …”
Get full text

基于ChatGLM急性缺血性卒中大血管闭塞的识别与诊断 Identification and Diagnosis of Large Vessel Occlusion in Acute Ischemic Stroke Based on ChatGLM by 宋晓微1，尹伟2，李佳褀3，魏宸铭1，王玥明1，邳靖陶1，陈乐1，高策舒1，马为之3，武剑1，4 (SONG Xiaowei1, YIN Wei2, LI Jiaqi3, WEI Chenming1, WANG Yueming1, PI Jingtao1, CHEN Le1, GAO Ceshu1, MA Weizhi3, WU Jian1,4 )

“…The diagnostic accuracy using few-shot learning is significantly higher than zero-shot learning. …”
Get full text

Will Artificial Intelligence Replace Physicians or Augment Their Capabilities? by Sara Rahmati Roodsari, Alireza Zali, Mohammad Rahmati-Roodsari, Behina Forouzanmehr

“…As technologies incorporating machine learning (ML), natural language processing (NLP), and deep learning continue to evolve rapidly, artificial intelligence (AI) is increasingly improving its skill sets in disease diagnosis, image interpretation, and therapeutic guidance1-3. …”
Get full text

Postoperative loss of perineuronal nets in the hippocampal CA1 region results in memory consolidation deficits by Zun-sai Feng, Jiang-nan Wu, Gui-cheng Wang, Zi-qing Xu, Yan-jing Guo, Shi-yu Hao, Gong-ming Wang, Meng-yuan Zhang

“…The perineuronal net (PNN) is a specialized extracellular matrix that predominantly surrounds parvalbumin (PV) interneurons and is closely associated with cognitive functions, including learning and memory. Theta oscillations in the hippocampal CA1 region are crucial for memory consolidation. …”
Get full text

Irisin: Emerging Therapeutic Targets for Cognitive Impairment-Related Diseases by Mei Ma, Guangchan Jing, Yue Tian, Ruiying Yin, Mengren Zhang

“… Abstract Introduction Irisin is a glycosylated polypeptide hormone derived from muscles that plays a crucial role in learning and memory by promoting the growth of hippocampal neurons, thereby influencing cognitive function. …”
Get full text

PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…Evaluating the veracity, exactness, and retrieval rate of different machine learning algorithms is crucial for choosing the most effective ones. …”
Get full text

Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems by V. V. Ligi-Goryaev, G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, V. V. Dzhakhnaev

“…The tkinter module was used for the graphical interface. The predict() function utilizes the trained model for predictions based on the feature vector.…”
Get full text

<i>Drosophila</i> as a Genetic Model System to Study Organismal Energy Metabolism by Arely V. Diaz, Izel Tekin, Tânia Reis

“…Indeed, each organ also must maintain its own homeostasis to function. At all three scales, homeostasis is a defining feature: as energy sources and energetic demands wax and wane, the system must be robust. …”
Get full text