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

“…To address this underrepresentation, this paper reports on a study of train passengers' satisfaction with the fare paid for their most recent home-based train trip in five Australian capital cities: Sydney, Melbourne, Brisbane, Adelaide, and Perth. Two data sources are used: a nation-wide survey, and objective information on the train fare structure in each of the targeted cities. …”
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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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Inoculant Formulation for <i>Bradyrhizobium</i> spp.: Optimizing CMC/Starch Blends for Improved Performance by Jaqueline Carvalho de Almeida, Vinício Oliosi Favero, Janaina Ribeiro Costa Rouws, Carla de Sant’Anna Freitas, Érica Barbosa de Sousa, Jéssica Feitoza da Rocha, Nainicelle Cibelle Sousa Chantre, Gustavo Ribeiro Xavier, Paulo Jansen de Oliveira, Norma Gouvêa Rumjanek

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Research review of digital modeling technologies with 3D spatial visualization for pipelines by Xin LIU, Shengwen TU, Yanfang HOU, Dong LIN, Jie SHU, Yu TANG

“…These developments have resulted in more comprehensive functionalities for visualization systems and improved operational and maintenance efficiency. …”
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A Comprehensive Review of Detection Methods for <i>Staphylococcus aureus</i> and Its Enterotoxins in Food: From Traditional to Emerging Technologies by Assia Mairi, Nasir Adam Ibrahim, Takfarinas Idres, Abdelaziz Touati

“…The review underscores the necessity of context-driven method selection, balancing speed, sensitivity, and resource availability. …”
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Hybrid modeling approaches for predicting COVID-19 mortality: A comparative study across USA, France, and India by B. Uppalaiah, D. Mallikarjuna Reddy, K. Rajalakshmi, P. Vignesh, V. Govindan, Siriluk Donganont

“…The models combine the adaptability of Gaussian Processes with the deep learning functionalities of RBM, LSTM, and CNN to improve prediction precision and uncertainty assessment. …”
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State of the art in remote sensing monitoring of carbon dynamics in African tropical forests by Thomas Bossy, Thomas Bossy, Thomas Bossy, Philippe Ciais, Philippe Ciais, Solène Renaudineau, Liang Wan, Bertrand Ygorra, Elhadi Adam, Nicolas Barbier, Marijn Bauters, Nicolas Delbart, Nicolas Delbart, Frédéric Frappart, Tawanda Winmore Gara, Eliakim Hamunyela, Suspense Averti Ifo, Gabriel Jaffrain, Philippe Maisongrande, Maurice Mugabowindekwe, Maurice Mugabowindekwe, Theodomir Mugiraneza, Theodomir Mugiraneza, Cassandra Normandin, Conan Vassily Obame, Marc Peaucelle, Camille Pinet, Pierre Ploton, Le Bienfaiteur Sagang, Martin Schwartz, Valentine Sollier, Bonaventure Sonké, Bonaventure Sonké, Paul Tresson, Aurélien De Truchis, An Vo Quang, Jean-Pierre Wigneron

“…Future developments in remote sensing should examine how multi-sensor integration of high-resolution data from instruments such as Planet, Tandem-X, SPOT and improved AI methods can refine forest composition, carbon storage and function maps, enhance large-scale monitoring of tree height and biomass dynamics, and improve forest degradation and deforestation detection down to tree level. …”
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Evaluating Sleep in Pediatric Cancer: A Scoping Review of Assessment Tools for Quality and Care by Elena Rostagno, Veronica Rivi, Pierfrancesco Sarti, Pietro Guastella, Dorella Scarponi, Johanna Maria Catharina Blom

“…Conclusion A wide range of tools exists for assessing sleep in pediatric oncology, each with distinct strengths and limitations. Selection of the most appropriate tool should consider the specific sleep concern, patient age, clinical context, and resource availability. …”
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Emerging Technologies and Clinical Practice: A Systematic Review of Jugular Venous Assessment Techniques by Yichen Cao, Rawan S. Abdulsadig, Esther Rodriguez-Villegas

“…This represents the first systematic review across all technological platforms for JV assessment, providing evidence-based recommendations for method selection based on clinical context, accuracy requirements, and resource availability. …”
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TRENDS IN HIGHER VOCATIONAL EDUCATION: PROFESSIONALIZATION OR DEPROFESSIONALIZATION? by Yu. R. Vishnevsky, D. Yu. Narkhov, Ya. V. Didkovskaya

“…Student population is the most important social resource of development of post-industrial information society. …”
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Identification and outcomes of acute kidney disease in patients presenting in Bolivia, Brazil, South Africa, and Nepal. by Rhys D R Evans, Sanjib K Sharma, Rolando Claure-Del Granado, Brett Cullis, Emmanuel A Burdmann, Fos Franca, Junio Aguiar, Martyn Fredlund, Kelly Hendricks, Maria F Iturricha-Caceres, Mamit Rai, Bhupendra Shah, Shyam Kafle, David C Harris, Mike V Rocco

“…High rates of persistent kidney disease and mortality after discharge highlight the importance of AKD follow-up in low-resource settings.…”
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Pharmacological Mechanisms of Cryptotanshinone: Recent Advances in Cardiovascular, Cancer, and Neurological Disease Applications by Zheng Z, Ke L, Ye S, Shi P, Yao H

“…Ziyao Zheng,1 Liyuan Ke,1 Shumin Ye,1 Peiying Shi,2 Hong Yao1,3 1Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou, 350122, People’s Republic of China; 2Department of Traditional Chinese Medicine Resource and Bee Products, College of Animal Sciences (College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou, 350002, People’s Republic of China; 3Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, Fujian Medical University, Fuzhou, 350122, People’s Republic of ChinaCorrespondence: Peiying Shi; Hong Yao, Email peiyshi@126.com; yauhung@126.com, hongyao@mail.fjmu.edu.cnAbstract: Cryptotanshinone (CTS) is an important active ingredient of Salvia miltiorrhiza Bge. …”
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Comparative Analysis of Microbiota in Jiani Yaks with Different Rib Structures by Yangji Cidan, Sijia Lu, Hongzhuang Wang, Jia Wang, Munwar Ali, Dalia Fouad, Farid S. Ataya, Yanbin Zhu, Wangdui Basang, Kun Li

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When, where, and how prey pair antipredator behaviors to natural and anthropogenic mortality risks by Michael E. Egan, Abigail M. Weber, Nicole Gorman, Michael W. Eichholz, Daniel Skinner, Peter E. Schlichting, Guillaume Bastille-Rousseau

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Advancing Enzyme-Based Detoxification Prediction with ToxZyme: An Ensemble Machine Learning Approach by Kashif Iqbal Sahibzada, Shumaila Shahid, Mohsina Akhter, Muhammad Faisal, Reham A. Abd El Rahman, Muhammad Imran, Yangyong Lv, Dongqing Wei, Yuansen Hu

“…The aaccurate prediction of enzymes with environment detoxification functions is crucial, not only to achieve a better understanding of bioremediation strategies, but also to alleviate environmental pollution. …”
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Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

“…Background: Acute asthma exacerbations (AAEs) are a leading cause of asthma-related morbidity and mortality, especially in resource-limited settings where pulmonary function tests are unavailable or when patients are unable to cooperate with testing. …”
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Optimizing urban energy flows: Integrative vehicle-to-building strategies and renewable energy management by Jian Hern Yeoh, Kai-Yun Lo, I-Yun Lisa Hsieh

“…The optimization tasks are handled using the Sequential Least Squares Programming (SLSQP) algorithm, which is well-suited for managing quadratic objective functions, nonlinear constraints, and bounded variables. …”
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Collective Mapping of Gas Leakages to Determine Safe Routes Using Multi-Robot System by Ronnier Frates Rohrich, Luis Felipe Messias, Jose Lima, Andre Schneider de Oliveira

“…In this study, robot groups act as multiple composite sensors that can move independently according to their assigned functions. Autonomous detection, collective mapping, and collective decision-making of the robots are behaviors bioinspired by the cognitive mechanisms observed in bacterial colonies. …”
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