Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset by Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui

“…Many of them, such as rule-based methods, machine learning techniques, and neural networks, also struggle to detect complex vulnerabilities due to limited data availability. …”
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Impulse Shaping Method Based on Bayesian Deconvolution by JIA Tonghui, LIU Yi, WANG Ming, MA Yingjie, WANG Bo

“…The initial step of this method entailed expressing the measured pulse signal as the convolution of the current impulse pulse signal and the detection system response function. Then, the measured signal was expressed in the continuous time domain and decomposed into the form of an impulse signal and a double exponential kernel convolution by derivation. …”
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Quality and content evaluation of thyroid eye disease treatment information on TikTok and Bilibili by Haisheng Wang, Huahong Zhang, Jiamin Cao, Feng Zhang, Wei Xiong

“…Abstract Thyroid eye disease (TED) is an autoimmune condition that commonly impacts patients’ visual function, appearance, and psychological well-being. …”
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Landscape of extracellular small RNA and identification of biomarkers in multiple human cancers by Shoubin Zhan, Ye Xu, Botao Li, Peng Ge, Chunwu Zhang, Shengkai Zhou, Tingting Yang, Gaoli Liang, Ling Ji, Xiangbin Kong, Ping Yang, Xi Chen, Chen-Yu Zhang, Han Shen, Xu Luo, Zhen Zhou, Yanbo Wang

“…Summary: Extracellular RNAs (exRNAs) in biofluids, sourced from diverse tissues, exhibit various biological functions and diagnostic potential. …”
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Antioxidant Profiling of Botryocladia leptopoda Based on In Silico and In Vitro Studies by Fenny Crista Anastasia Panjaitan, Huey-Jine Chai

“…Thus, B. leptopoda can be considered a promising source of antioxidative products in the functional food and pharmaceutical industries.…”
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Risk Assessment of Heavy Metals in Road-Deposited Sediments and Correlation Distribution of DOM and Heavy Metals in Beijing, China by Donghai Yuan, Pengmiao Li, Chenling Yan, Jinggang Wang, Xiaochen Bai, Yuhang Wei, Chen Wang, Yingying Kou

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Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

“…This framework quantitatively evaluates the nonlinear response mechanisms of town–village systems to flood disasters, emphasizing the synergistic effects of spatial scale, morphology, and functional organization. The proposed framework uniquely integrates three innovative modules: (1) a hybrid risk identification engine combining normalized difference vegetation index (NDVI) temporal anomaly detection and spatiotemporal hotspot analysis; (2) a morpho-functional resilience quantification model featuring a newly developed spatial morphological resilience index (SMRI) that synergizes landscape compactness, land-use diversity, and ecological connectivity through the entropy-weighted analytic hierarchy process (AHP); and (3) a dynamic scenario simulator embedding rainfall projections into a coupled hydrodynamic model. …”
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On the usage of artificial intelligence in leprosy care: A systematic literature review. by Hilson Gomes Vilar de Andrade, Elisson da Silva Rocha, Kayo H de Carvalho Monteiro, Cleber Matos de Morais, Danielle Christine Moura Dos Santos, Dimas Cassimiro Nascimento, Raphael A Dourado, Theo Lynn, Patricia Takako Endo

“…It can result in physical disabilities and functional loss and is particularly prevalent amongst the most vulnerable populations in tropical and subtropical regions worldwide. …”
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From neglect to necessity: the role of innate immunity in cutaneous squamous cell carcinoma therapy by Yong He, Ting Tian, Yuancheng Li, Yong Zeng, Yong Zeng, Yong Zeng, Xiaoke Wang, Leqi Qian, Tian Tian, Mingjun Jiang, Liming Li, Liming Li

“…It emphasizes the importance of finding innovative therapeutic targets and strategies to boost the success of immunotherapy across a wider range of patients. …”
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Efficacy of minimally invasive vascular interventions assessed with mobile multispectral near-infrared spectroscopy by Alisha Roberta Oropallo, MD, Amit Rao, MD, Jo Ann Eisinger, PA, Larry Leonardi, PhD

“…By visualizing changes in microcirculation, this technology offers clinicians valuable insights, enabling earlier detection of treatment success or failure and facilitating timely interventions. …”
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Motorcycle Parking Security System based on Website and QR Code Technology by Riva Andra Yuni, Werman Kasoep, Desta Yolanda

“…Furthermore, to detect forced removal attempts, the system is equipped with an alarm that notifies the parking attendant. …”
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Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea by Na Hyeon Yu, Daeun Shin, Ik Hee Ryu, Tae Keun Yoo, Kyungmin Koh

“…An easy-to-use oversampling function was employed to address class imbalance, enhancing the usability of the workflow. …”
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Vision-Based Localization Method for Picking Points in Tea-Harvesting Robots by Jingwen Yang, Xin Li, Xin Wang, Leiyang Fu, Shaowen Li

“…First, an improved T-YOLOv8n model is proposed, which improves detection and segmentation performance across multi-scale scenes through network architecture and loss function optimizations. …”
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User Communities — Drivers for Open Innovation by Gunnar Prause, Thomas Thurner

“…Users best judge what will lead to commercial success, and they have long been recognized as a valuable source of knowledge to harvest for future innovation. …”
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Depressive disorders in women of climacteric age (review of foreign literature for 2012–2016) by N. A. Bokhan, E. V. Lukiyanova, G. G. Simutkin

“…In the abstract-bibliographic and scientometric database Web of Science Core Collection 70 bibliographic sources are selected across foreign journals between 2012 and 2016, including journals with high Impact Factor. …”
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Inference of a plume conduit beneath the Réunion Island from 3D migration of Ps conversions from the mantle transition zone by B. Padma Rao, M. Ravi Kumar

“…In this study, we investigate the mantle transition zone (MTZ) structure beneath the Réunion Island using 3D-migration of P-Receiver functions, to decipher the effect of the plume on the MTZ and its architecture. …”
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Effective disinfecting of negative pressure pipelines of DCUs reduces the risk of cross infection in dental care by Xuerong Lv, Ke Yan, Xiang Han, Feiyang Wang, Yuzhuo Ma, Shougang Zhang, Xiaoqian Wang

“…Objectives Microbial contamination of various accessory parts of the dental chair units (DCUs) is an essential source of cross infection, while the accessories of the crucial suction function are usually overlooked. …”
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Research on automatic identification method for pipeline girth weld defects based on X-ray images and sparse representation by Shaohui JIA, Yaping LI, Weixin GAO, Yunchao PENG, Xinjian ZHANG, Yuxia WANG

“…In addition, the inclusion of a smooth and differentiable function with 0-1 penalty terms made it possible to solve 0-norm optimization using a penalty function method. …”
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Responsive cellulose nanocrystal‐based liquid crystals: From structural color manipulation to applications by Jiao Liu, Ye‐Ming Qing, Jun‐Jie Wu, Jing‐Qi Tian, Chi‐Bo Feng, Xin‐Yu Zhou, Yun Ma, Bing‐Xiang Li, Yan‐Qing Lu, Quan Li

“…Cellulose nanocrystals (CNCs), obtained through the acidic hydrolysis of cellulose‐based materials including wood, cotton, and additional sources, have attracted significant attention in areas, for example, energy storage, cosmetics, and medical devices. …”
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NORDIC denoising on VASO data by Lasse Knudsen, Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel A. Handwerker, Steen Moeller, Peter A. Bandettini, Peter A. Bandettini, Laurentius Huber

“…However, VASO comes along with another reduction in detection sensitivity. NOise Reduction with DIstribution Corrected (NORDIC) PCA (principal component analysis) is a denoising technique specifically aimed at suppressing thermal noise, which has proven useful for increasing the SNR of high-resolution functional data. …”
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