The structural and functional brain alternations in tobacco use disorder: a systematic review and meta-analysis by Longyao Ma, Longyao Ma, Qiuying Tao, Qiuying Tao, Jinghan Dang, Jinghan Dang, Jieping Sun, Jieping Sun, Xiaoyu Niu, Xiaoyu Niu, Mengzhe Zhang, Mengzhe Zhang, Yimeng Kang, Yimeng Kang, Weijian Wang, Weijian Wang, Jingliang Cheng, Jingliang Cheng, Yong Zhang, Yong Zhang

“…BackgroundWhile numerous previous studies have indicated that nicotine intake results in gray matter and functional brain abnormalities in tobacco use disorder (TUD), the majority of results could not be replicated or even reversed. …”
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Aqueous extracts of Portulaca oleracea L. alleviate atopic dermatitis by restoring skin barrier function by Haobin Wei, Zhang Chen, Zhang Chen, Wenjie Lai, Wenjie Lai, Wenxian Wang, Xiqing Bian, Xiqing Bian, Limin Zhang, Xinzhi Li, Xinzhi Li

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Three‐Dimensional Habitat Structure Drives Avian Functional and Trait Diversity Across North America by Colin P. Sweeney, William Peterman, Kaiguang Zhao, Karen Goodell, Benjamin Zuckerberg, Marta A. Jarzyna

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A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization by Md. Saddam Hossain, Md. Parvez Khandocar, Farzana Akter Riti, Md. Yeakub Ali, Prithbey Raj Dey, S M Jahurul Haque, Amira Metouekel, Atrsaw Asrat Mengistie, Mohammed Bourhia, Farid Khallouki, Khalid S. Almaary

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Functional kombucha production from fusions of black tea and Indian gooseberry (Phyllanthus emblica L.) by Haruthairat Kitwetcharoen, Yupaporn Phannarangsee, Preekamol Klanrit, Sudarat Thanonkeo, Patcharaporn Tippayawat, Poramaporn Klanrit, Poramate Klanrit, Mamoru Yamada, Pornthap Thanonkeo

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Deep Defense Against Mal-Doc: Utilizing Transformer and SeqGAN for Detecting and Classifying Document Type Malware by Gati Lother Martin, Sang-Min Lee, Jong-Hyun Kim, Young-Seob Jeong, Ah Reum Kang, Jiyoung Woo

“…The proposed model will solve this gap by detecting and classifying document-type malware families using script codes, including tags, to write documents and script languages to execute malicious functions. …”
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DMM-YOLO: A high efficiency soil fauna detection model based on an adaptive dynamic shuffle mechanism by Jiehui Ke, Renbo Luo, Guoliang Xu, Yuna Tan, Zhifeng Wu, Liufeng Xiao

“…Abstract Soil fauna play a critical role in maintaining ecosystem functions and assessing environmental health, making accurate and efficient detection essential. …”
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A novel rhodamine 6G-based chemosensor for Fe3+ detection in water samples and cellular imaging by Bao-Long Hou, Wenyu Li, Ruirui Feng, Xiumei Yang, Jianli Liu, Cuiling Wang

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Waterbody Detection and Reservoir Water Level Prediction Using Bayesian Mixture Models with Sentinel-1 GRD Data by DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim

“…For future research, higher-resolution data or complementary algorithms may further enhance detection accuracy for smaller and more complex water features, contributing to more refined water resource management strategies.…”
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Edge enhancement of potential field data using the enhanced gradient (EG) filter by Ahmad Alvandi, Korimilli N Durga Prasad, Hazel Deniz Toktay

“…The EG is tested on two dimensional (2D) and three dimensional (3D) synthetic magnetic models with sources buried at different depths and variable properties. …”
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Complex-amplitude-modulated meta-device for optical image processing by Xinchen Jiang, Peicheng Lin, Yeang Zhang, Tao Tao, Yuan Du, Xuecou Tu, Ting Xu, Yan-qing Lu, Jun-long Kou

“…However, considering that electronic convolutional operation always contains million-level parameters and complex calculation process, it consumes a large number of computing resources and time. To overcome these limitations, we proposed a design of complex-amplitude-modulated meta-device which could perform various functions of image processing. …”
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Fluorescent carbon quantum dots from Syzygium aromaticum as a selective sensor for Fe3+ and Cd2+ detection in aqueous solution by Said Ali Akbar, Muhammad Hasan, Muhammad Nazar, Ilham Zulfahmi, Edy Miswar, Muhammad Iqhrammullah, Zulkarnain Jalil

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Patient-derived esophageal adenocarcinoma organ chip: a physiologically relevant platform for functional precision oncology by Sanjima Pal, Elee Shimshoni, Salvador Flores Torres, Mingyang Kong, Kulsum Tai, Veena Sangwan, Nicholas Bertos, Swneke Donovan Bailey, Julie Bérubé, Donald E. Ingber, Lorenzo Ferri

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Bearing-Only Multi-Target Localization Incorporating Waveguide Characteristics for Low Detection Rate Scenarios in Shallow Water by Xiaohan Mei, Bo Zhang, Duo Zhai, Zhaohui Peng

“…A <i>β</i>-S-dimensional assignment (<i>β</i>-SDA) method incorporating waveguide characteristics is proposed to address the BOMTL problem in shallow water with low detection rates. The estimated distance for the warping transformation is derived from the intersection points of the bearing lines, then the autocorrelation function of the broadband beamforming output is transformed using a warping operator to obtain the corresponding characteristic spectrum. …”
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Correlation between D-dimer and size of middle cerebral artery infarction and its relation to functional outcome by Ramy Taha Alloush, Mohamed Hamdy Ibrahim, Shahinaz Mohamed Helmy, Aya Ebrahim Marwan, Mona Ali Eissa, Adel T. Alloush, Mohamed Khaled Elewa

“…Furthermore, data from neuroimaging, clinical, laboratory, and demographic sources were examined. Additionally, the modified Rankin Scale (mRS) score was used to evaluate the predictive usefulness of plasma D-dimer on a patient's functional outcome after three months. …”
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SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection by Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu

“…Semantic change detection technology based on remote sensing data holds significant importance for urban and rural planning decisions and the monitoring of ground objects. …”
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SDKU-Net: A Novel Architecture with Dynamic Kernels and Optimizer Switching for Enhanced Shadow Detection in Remote Sensing by Gilberto Alvarado-Robles, Isac Andres Espinosa-Vizcaino, Carlos Gustavo Manriquez-Padilla, Juan Jose Saucedo-Dorantes

“…Additionally, the model’s efficient training process, requiring only 75 epochs, highlights its potential for resource-constrained applications. These results underscore the robustness and adaptability of SDKU-Net, paving the way for advancements in shadow detection and segmentation across diverse fields.…”
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LI-YOLOv8: Lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv. by Pingping Yan, Xiangming Qi, Liang Jiang

“…In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
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Simple surface modification of poly(methyl methacrylate) microfluidic microplates for enhanced ultrasensitive multiplexed detection of infectious diseases by Sharma T. Sanjay, Sapna Kannan, XiuJun Li

“…Herein, we report a simple method of functionalization of poly(methyl methacrylate) (PMMA) with polylysine to be used as the microfluidic microplate substrate for enhanced ELISA, enabling rapid, ultrasensitive, and multiplexed detection of infectious diseases. …”
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Plasmonic optical fiber biosensors for ultra-low detection of respiratory syncytial virus via point-of-care tests by Federica Passeggio, Luigi Zeni, Massimiliano Galdiero, Francesco Arcadio, Carla Zannella, Anna De Filippis, Chiara Marzano, Ines Tavoletta, Fabiana Napolitano, Rosalba Pitruzzella, Giuseppe Portella, Nunzio Cennamo

“…Hence, the results establish the POF-based RSV biosensor as a sensitive, cost-effective, ultra-fast, capable of being connected to the Internet, and a scalable alternative to traditional RSV detection methods, offering a promising tool for improving diagnostic capabilities in clinical and resource-limited settings.…”
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