Ctta: a novel chain-of-thought transfer adversarial attacks framework for large language models by Xinxin Yue, Zhiyong Zhang, Junchang Jing, Weiguo Wang

“…Numerous experiments on LLMs with varying performance and parameter sizes have validated the effectiveness, stability, and generalizability of this attack. …”
Get full text

Temporal-Sequence Offline Reinforcement Learning for Transition Control of a Novel Tilt-Wing Unmanned Aerial Vehicle by Shiji Jin, Wenjie Zhao

“…Although online reinforcement learning algorithms offer adaptability, they depend on real-world exploration, posing considerable safety and cost risks for safety-critical UAV applications. …”
Get full text

Attenuation Law of Soil Shear Strength During Rainfall Infiltration in Over-Wet Soil Embankments by Hao Shan, Jia Wang, Zhongyun Chen, Leifeng Li, Baoning Hong, Xuejuan Song

“…This study addresses the critical engineering challenge posed by embankment failures in over-wet soil, which are susceptible to significant settlement and landslides due to rainfall infiltration. …”
Get full text

A Reinforcement Learning-Based Task Mapping Method to Improve the Reliability of Clustered Manycores by Fatemeh Hossein-Khani, Omid Akbari

“…The increasing scale of manycore systems poses significant challenges in managing reliability while meeting performance demands. …”
Get full text

A review of Wellhead pressure reduction methods in hydraulic fracturing by Guixian Guo, Zhen Zhang, Youyi Ye, Yuehao Liu, Jialei Wang, Qiang Wang

“…Abstract Wellhead pressure is a critical parameter in hydraulic fracturing, as excessive pressure poses significant risks to equipment, such as pump trucks, and personnel, potentially leading to operational hazards and accidents. …”
Get full text

Entanglement microscopy and tomography in many-body systems by Ting-Tung Wang, Menghan Song, Liuke Lyu, William Witczak-Krempa, Zi Yang Meng

“…Abstract Quantum entanglement uncovers the essential principles of quantum matter, yet determining its structure in realistic many-body systems poses significant challenges. Here, we employ a protocol, dubbed entanglement microscopy, to reveal the multipartite entanglement encoded in the full reduced density matrix of the microscopic subregion in spin and fermionic many-body systems. …”
Get full text

Robust two-stage controller for the bidirectional “full-bridge Buck inverter–DC motor” fed by renewable energy by Ángel Adrián Orta-Quintana, Rogelio Ernesto García-Chávez, Ramón Silva-Ortigoza, Magdalena Marciano-Melchor, José Rafael García-Sánchez, Alfredo Roldán-Caballero, Gilberto Silva-Ortigoza, Miguel Gabriel Villarreal-Cervantes

“…These conditions included ideal scenarios as well as varying operational cases, such as parameter uncertainties and external disturbances. …”
Get full text

High-Efficiency Lithium Niobate Electro-Optic Modulator with Barium Titanate Cladding on Quartz by Hongkang Liu, Jianping Li, Weiqin Zheng, Zixin Chen, Jianbo Zhang, Yuwen Qin

“…However, the large size of devices limits their applicability in large-scale integrated optical systems, posing a key challenge in maintaining performance advantages under restricted design space. …”
Get full text

Towards lightweight model using non-local-based graph convolution neural network for SQL injection detection by Duc-Chinh Nguyen, Manh-Hung Ha, Manh-Tuan Do, Oscal Tzyh-Chiang Chen

“…SQL injection poses serious threats to web applications and databases by enabling unauthorized access and data leakage. …”
Get full text

Net Primary Productivity, Vegetation Index Analysis, and Assessment of Protected Areas, Vulnerabilities, and Management Strategies: Review by Bilouktime Badjaré, Demirel Maza-Esso Bawa, Fousséni Folega, Liu Weiguo, Kpérkouma Wala, Komlan Batawila

“…Considering the challenges posed by the management of Togolese protected areas, particularly since the socio-political disturbances of the 1990s, it is urgent to assess the health status of these specific ecosystems, focusing on their performance. …”
Get full text

Machine learning-aided lattice optimization for ultra-lightweight 3D-printed aligners by Poom Narongdej, Bradley Yuhasz, Tianmin Kong, Diego Rojas, Qidi Peng, Ehsan Barjasteh

“…The factor importance analysis from the AI model highlighted the modulus as the critical parameter, with the experimental results further validating the analysis. …”
Get full text

3-D fracture network reconstruction and quantitative fractal analysis of subsurface rock fractures via integrated CT scanning and box-counting dimension methodology by Hongjian Wu, Xiangwei Kong, Xing Chen, Dianwei Guan

“…The inherent challenges posed by natural fracture networks and lithological disintegration in tight oil reservoirs significantly impede drilling integrity, completion efficiency, and hydrocarbon recovery rates. …”
Get full text

Significant enhancement of Rashba spin–orbit interaction using metastable heavy metal interface by Taishiro Yamazaki, Sora Obinata, Riku Iimori, Kazumasa Yamada, Takashi Kimura

“…However, the inherently low electrical conductivity of these materials poses a critical obstacle to achieving efficient device performance. …”
Get full text

Climatic impacts on spring disappearance in the Indian Himalayas by Netrananda Sahu, Suraj Kumar Mallick, Pritiranjan Das, Atul Saini, Takahiro Sayama, Ayush Varun, Anil Kumar, Ravi Kesharwani, Pawan Kumar Thakur

“…Due to climate change the drop in spring-water discharge poses a serious issue in the Himalayan region, especially in the higher section of Himachal Pradesh. …”
Get full text

MoSViT: a lightweight vision transformer framework for efficient disease detection via precision attention mechanism by Yuanqi Chen, Aiping Wang, Ziyang Liu, Jie Yue, Enxu Zhang, Fei Li, Ning Zhang

“…Traditional diagnostic methods are often inefficient and subjective, posing challenges for timely and accurate pest management. …”
Get full text

Effect of Suspension Length and Substrate Curvature on Electric Field Distribution in Emergency Anti-Galloping Cables by Zhongbin Lv, Bo Zhang, Guanghui Liu, Zehui Liu, Chencheng Wang, Lee Li

“…Galloping of transmission lines caused by wind and ice accumulation poses significant threats to the stability of power grids. …”
Get full text

Key Technology and Development Prospect of Ontology Safety for Lithium-Ion Battery Storage Power Stations by Xiangyang XIA, Xinxin TAN, Zhouping SHAN, Hui LI, Zhiqiang XU, Jinbo WU, Jiahui YUE, Guiquan CHEN

“…The introduction of the "dual carbon" targets and the ongoing advancement of low-carbon transitions in energy and electricity have posed significant challenges to the new-type power system, which primarily relies on renewable energy sources, particularly in terms of large-scale, safe, and efficient energy storage. …”
Get full text

A novel extension of the power lindley distribution with statistical properties and application to COVID-19 data by Danish Qayoom, Aafaq A. Rather, Eid Sadun Alotaibi, Bayan Adel Shukr, Afnan Ali Almazmomi, Abdulrahman Obaid Alshammari

“…Abstract In the recent years, there has been a notable shift in the landscape of statistical and data science research, with increasing attention directed toward the development of advanced probability distributions aimed at addressing the challenges posed by medical and health-related data. In response to this need, the present study introduces a novel probability distribution model termed as the Exponentiated Odd Lomax Power Lindley distribution constructed by embedding the Power Lindley distribution within the Lomax family framework through the T-X transformation technique. …”
Get full text

A physics-informed and data-driven framework for robotic welding in manufacturing by Jingbo Liu, Fan Jiang, Shinichi Tashiro, Shujun Chen, Manabu Tanaka

“…However, in real-world industrial applications, the intricate interplay among data quality, model accuracy, and generalizability poses significant challenges, hindering the effective deployment and scalability of data-driven models in complex manufacturing environments. …”
Get full text

M3AE-Distill: An Efficient Distilled Model for Medical Vision–Language Downstream Tasks by Xudong Liang, Jiang Xie, Mengfei Zhang, Zhuo Bi

“…Multi-modal masked autoencoder (M3AE) are widely studied medical vision–language (VL) models that can be applied to various clinical tasks. However, its large parameter size poses challenges for deployment in real-world settings. …”
Get full text