Image-based soft drink type classification and dietary assessment system using deep convolutional neural network with transfer learning by Rubaiya Hafiz, Mohammad Reduanul Haque, Aniruddha Rakshit, Mohammad Shorif Uddin

“…To perform experimentation a dataset is built containing ten most consumed soft drinks in Bangladesh using images from the ImageNet dataset, internet sources and also self-capturing. The experiment confirms that our system can detect and recognize different types of drinks with an accuracy of 98.51%.…”
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Cerebrospinal fluid CD4+ T cell infection in humans and macaques during acute HIV-1 and SHIV infection. by Vishakha Sharma, Matthew Creegan, Andrey Tokarev, Denise Hsu, Bonnie M Slike, Carlo Sacdalan, Phillip Chan, Serena Spudich, Jintanat Ananworanich, Michael A Eller, Shelly J Krebs, Sandhya Vasan, Diane L Bolton, RV254/SEARCH010 and RV304/SEARCH013 Study Teams

“…HIV-1 replication within the central nervous system (CNS) impairs neurocognitive function and has the potential to establish persistent, compartmentalized viral reservoirs. …”
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User satisfaction with train fares: A comparative analysis in five Australian cities. by Puteri Paramita, Zuduo Zheng, Md Mazharul Haque, Simon Washington, Paul Hyland

“…In particular, satisfaction with train fares is modelled as a function of socio-economic factors and train trip characteristics, using a random parameters ordered Logit model that accounts for unobserved heterogeneity in the population. …”
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Involvement of transposable elements in neurogenesis by R. N. Mustafin, E. K. Khusnutdinova

“…Significant activity of long non-coding RNA was detected in the hippocampus, which confirms the role of transposons in the regulation of brain function. …”
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CLSTM-MT (a Combination of 2-Conv CNN and BiLSTM Under the Mean Teacher Collaborative Learning Framework): Encryption Traffic Classification Based on CLSTM (a Combination of 2-Conv... by Xiaozong Qiu, Guohua Yan, Lihua Yin

“…The identification and classification of network traffic are crucial for maintaining network security, optimizing network management, and ensuring reliable service quality. These functions help prevent malicious activities, such as network attacks and illegal intrusions, while supporting the efficient allocation of network resources and enhancing user experience. …”
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CRISPR-Cas- and Aptamer-based Systems for Diagnosing Pathogens: A Review by Helin Yu, Wenwen Jing, Xunjia Cheng

“…Finally, we discuss Cas14-based tools as functionally stronger platforms for the detection of non-nucleic acid targets.…”
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Comparative analysis of microwave indices for freeze/thaw state monitoring and adaptive thresholding implications by Zhicheng Yang, Tianjie Zhao, Qingfeng Wang, Lihua Peng, Youhua Ran, Yu Bai, Jingyao Zheng, Panpan Yao, Zhiqing Peng, Jinbiao Zhu, Xiaokang Kou, Yuei-An Liou, Jiancheng Shi

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PhotoNeuro: A compact photodetector for synchronization of visual stimulus presentation during behavioural experiments in neuroscience by Xavier Cano-Ferrer, Marcelo J. Moglie, George Konstantinou, Antonin Blot, Gaia Bianchini, Albane Imbert, Petr Znamenskiy, M. Florencia Iacaruso

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Transcriptome Analysis Reveals the Pivotal Genes and Regulation Pathways Under Cold Stress and Identifies <i>SbERF027</i>, an AP2/ERF Gene That Confers Cold Tolerance in Sorghum by Qijin Lou, Peifeng Wang, Miao Yu, Zhigan Xie, Chen Xu, Shengyu Chen, Hao Yu, Rui Zhang, Guangling Tian, Di Hao, Xianshi Ke, Shuai Yu, Jiajia Zhou, Yao Zhao, Chao Ye, Jiyuan Guo, Haiyan Zhang, Mo Chen, Xingbei Liu

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Faeces, Feathers and Flight: Understanding of Escape Behaviour in Incubating Eurasian Woodcocks (Scolopax rusticola) by Martin Sládeček, Kateřina Brynychová, Lucie Nutilová, Miroslav E. Šálek

“…One behaviour suggested to have an antipredatory function is defecating over the nest and eggs when departing. …”
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Application of deep learning for diagnosis of shoulder diseases in older adults: a narrative review by Sung Min Rhee

“…Shoulder diseases pose a significant health challenge for older adults, often causing pain, functional decline, and decreased independence. This narrative review explores how deep learning (DL) can address diagnostic challenges by automating tasks such as image segmentation, disease detection, and motion analysis. …”
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Implementation of a wireless sensor network for irrigation management in drip irrigation systems by Mehmet Kamil Meriç

“…By providing real-time data and remote-control capabilities, the integrated system offers a tool for optimizing water usage and conserving water resources.…”
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The challenge of triple intestinal parasite infections in immigrants—A call for comprehensive differential diagnosis by Emmanuel Edwar Siddig, Ayman Ahmed

“…This case highlights the necessity of heightened awareness, early detection, and effective management of parasitic infections to enhance public health efforts and minimize the spread of these diseases. …”
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Spatial distribution characteristics and influencing factors of milk tea stores in Wuhan based on sDNA and OPGD models. by Wentao Yang, Xinrui Zhan, Dinghui Liu, Huade Zhu

“…We then examined the influencing factors by combining spatial design network analysis, optimal parameters-based geographical detection, and location-based service big data. Our results revealed the following: (1) The spatial distribution of stores was concentrated in areas with high closeness and betweenness centrality, forming a multi-core "northwest-southeast" distribution pattern with significant spatial positive correlation. (2) The stores' spatial pattern was influenced by the road network betweenness and the presence of office buildings, shopping malls, shopping centers, and tourism resources. …”
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Development of Cyber Security Platform for Experiential Learning by Abhishek Vaish, Ravindra Kumar, Samo Bobek, Simona Sternad

“…The present research proposes a comprehensive web-based platform that can be used to communicate, collaborate and practice various use cases in the domain of network intrusion detection tools using machine learning algorithms and to evaluate user experience. …”
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A mmWave JCAS System for Real-Time High-Data Rate Communication and RADAR Sensing by Markus Petri, Nebojsa Maletic

“…This paper presents a real-time millimeter-wave (mmWave) joint communication and sensing (JCAS) system, supporting bi-directional data communication with up to 5.8 Gbit/s coded data rate as well as mono-static radio detection and ranging (RADAR) with a range resolution of 6.7 cm and up to 2.1 kHz sensing rate. …”
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Spatial Pattern and Evolutionary Characteristics of Settlements in Dianchi River Basin from the Perspective of Toponymy by Ying’ao WANG, Weijian HU, Wen PENG, Yuliang YANG

“…By constructing a coupling analysis framework of toponym semantics and spatial attributes, this research confirms the “spatio-temporal code” function of toponym in the process reconstruction of human settlements, and the capability to analyze multi-source heterogeneous data based on the aforesaid function provides a new analytical methodology for the research on watershed human settlements. …”
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Assessing the impact of a rare synonymous variant in the <i>KNG1</i> gene on the development of hereditary angioedema by N. A. Pechnikova, Yu. V. Ostankova, M. A. Saitgalina, A. M. Bebyakov, A. A. Totolian

“…The material was a whole blood sample obtained from a woman with clinical manifestations of hereditary angioedema without a decrease in the levels and function of the C1 inhibitor. The research methods included whole exome sequencing, bioinformatic analysis of the KNG1 gene mutation using a number of databases and web resources. …”
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Leveraging Blockchain Technology With Enhanced MDSVA for Robust Meteorological Sensor Data Validation by Md Abdullah Al Mamun, Mei Li, Bijon Kumar Pramanik, Faisal Hussain, A. Z. M. Shakilur Rahman

“…Our enhanced MDSVA introduces a sophisticated five-component validation function that simultaneously addresses drift and noise compensation, environmental adaptation, periodic variations, dynamic thresholds, and transient adjustments. …”
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LucaPCycle: Illuminating microbial phosphorus cycling in deep-sea cold seep sediments using protein language models by Chuwen Zhang, Yong He, Jieni Wang, Tengkai Chen, Federico Baltar, Minjie Hu, Jing Liao, Xi Xiao, Zhao-Rong Li, Xiyang Dong

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