A Survey on Privacy and Security in Distributed Cloud Computing: Exploring Federated Learning and Beyond by Ahmad Rahdari, Elham Keshavarz, Ehsan Nowroozi, Rahim Taheri, Mehrdad Hajizadeh, Mohammadreza Mohammadi, Sima Sinaei, Thomas Bauschert

“…However, they might face significant vulnerabilities, including data leakage, metadata spoofing, insecure programming interfaces, malicious insiders, and denial of service. …”
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A roadmap for improving data quality through standards for collaborative intelligence in human-robot applications by Shakra Mehak, Shakra Mehak, Inês F. Ramos, Keerthi Sagar, Aswin Ramasubramanian, John D. Kelleher, Michael Guilfoyle, Gabriele Gianini, Ernesto Damiani, Maria Chiara Leva

“…The first use case involves a framework for quantifying human and robot performance within the context of naturalistic robot learning, wherein humans teach robots using intuitive programming methods within the domain of HRI. The second use case presents real-time user state monitoring for adaptive multi-modal teleoperation, that allows for a dynamic adaptation of the system’s interface, interaction modality and automation level based on user needs. …”
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Comprehensive approach to the choice of therapy in patients with osteoarthritis at the first visit to the doctor. Expert consensus (literature review and resolution) by A. M. Lila, O. N. Tkacheva, N. N. Yakhno, A. V. Naumov, L. I. Alekseeva, Yu. V. Kotovskaya, M. V. Putilina, M. L. Kukushkin, A. Yu. Kochish, E. A. Taskina, G. R. Abuzarova

“…Pain relief is a priority in the formation of individual therapeutic programs for patients with OA, starting from their first request for medical assistance. …”
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Disturbance‐Aware On‐Chip Training with Mitigation Schemes for Massively Parallel Computing in Analog Deep Learning Accelerator by Jaehyeon Kang, Jongun Won, Narae Han, Sangjun Hong, Jee‐Eun Yang, Sangwook Kim, Sangbum Kim

“…Furthermore, to evaluate learning feasibility in large‐scale arrays, real‐time disturbance‐aware training simulations are conducted by mapping synaptic arrays to convolutional neural networks for the CIFAR‐10 dataset. …”
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Inhibitors in the Management of Patients with Atherosclerotic Cardiovascular Diseases: Guidelines and Reimbursement Issues by M. V. Zhuravleva, A. B. Prokofiev, E. V. Shikh, S. Yu. Serebrova, G. I. Gorodetskaya, E. Yu. Demchenkova

“…The target level of LDL-C in real clinical practice is achieved in no more than a third of patients who have undergone a coronary event and receive high-intensity lipid-lowering therapy. …”
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AI-Driven Optimization Framework for Smart EV Charging Systems Integrated with Solar PV and BESS in High-Density Residential Environments by Md Tanjil Sarker, Marran Al Qwaid, Siow Jat Shern, Gobbi Ramasamy

“…This study proposes a hybrid AI-based framework for optimizing residential EV charging systems through the integration of Reinforcement Learning (RL), Linear Programming (LP), and real-time grid-aware scheduling. …”
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A Comparative Study of Machine Learning Models for Accurate E-Waste Prediction by Mohammed Algafri, Mohammed Sayad, Mohammad A.M. Abdel-Aal, Ahmed M. Attia

“…Future research should explore hybrid models and real-time forecasting to enhance predictive accuracy and sustainability.…”
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A Promoter Region Polymorphism in PDCD-1 Gene Is Associated with Risk of Rheumatoid Arthritis in the Han Chinese Population of Southeastern China by CuiPing Liu, JueAn Jiang, Li Gao, XiaoHan Hu, FengMing Wang, Yu Shen, GeHua Yu, ZuoTao Zhao, XueGuang Zhang

“…Objective. Programmed cell death 1 (PD-1) induces negative signals to T cells during interaction with its ligands and is therefore a candidate gene in the development of autoimmune diseases such as rheumatoid arthritis (RA). …”
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Balancing Risks and Opportunities: Data-Empowered-Health Ecosystems by Lan Li, Emma Back, Suna Lee, Rebecca Shipley, Néo Mapitse, Stefan Elbe, Melanie Smallman, James Wilson, Ifat Yasin, Geraint Rees, Ben Gordon, Virginia Murray, Stephen L Roberts, Anna Cupani, Patty Kostkova

“…This paper argues that reframing health care data as a common good, improving the transparency of data acquisition and processing, and promoting the use of application programming interfaces (APIs) for real-time data access are essential to overcoming these challenges. …”
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Detection of Streptococcus pneumoniae serotypes causing invasive and non-invasive infections using whole-genome sequencing by Mironov К.O., Gaponova I.I., Korchagin V.I., Mikhailova Yu.V., Shelenkov A.A., Chagaryan A.N., Ivanchik N.V., Platonov A.E., Kozlov R.S., Akimkin V.G.

“…The 144 invasive and 90 non-invasive S. pneumoniae strains isolated in 2002– 2023 during the multicenter epidemiological study «PEGASus» were investigated. Real-time PCR and whole-genome sequencing were used to determine serotypes. …”
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Development and validation of a protocol to determine product perception in relation to the moment of the day by M. Visalli, S. Plano, C. Tortorello, D. Vigo, M.V. Galmarini

“…Reminders were sent via pre-programmed messages to ensure adherence to the schedule. …”
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Augmented reality microscopy to bridge trust between AI and pathologists by Sunil Badve, George L. Kumar, Tobias Lang, Eli Peigin, James Pratt, Robert Anders, Deyali Chatterjee, Raul S. Gonzalez, Rondell P. Graham, Alyssa M. Krasinskas, Xiuli Liu, Alexander Quaas, Romil Saxena, Namrata Setia, Laura Tang, Hanlin L. Wang, Josef Rüschoff, Hans-Ulrich Schildhaus, Khalid Daifalla, Marc Päpper, Patrick Frey, Felix Faber, Maria Karasarides

“…Artificial intelligence (AI) can potentially eliminate diagnostic uncertainty, especially when AI “trustworthiness” is proven by expert pathologists in the context of real-world clinical practice. Building on an IHC foundation model, we employed pathologists-in-the-loop finetuning to produce a programmed cell death ligand 1 (PD-L1) CPS AI Model. …”
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Ecological Insights from Spatial Pattern Analysis: Halocnemum strobilaceum and Climacoptera turcomanica in Golestan's Saline and Alkaline Rangelands by Mojgansadat Azimi, Omolbanin Ebrahimi, Narges Kariminejad, Vahideh Riyazinia, Mohadeseh Amiri, Giandiego Campetella

“…These two salty species dominate the rangeland and influence plant diversity and the relative conservation of rangeland productivity. We used the RTK GPS (Real Time Kinematic Global Positioning System) to record the position of each species in the study area during the field survey. …”
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Artificial intelligence for screening and early diagnosis of pancreatic neoplasms in the context of centralization of the laboratory service in the region by S. I. Panin, V. A. Suvorov, A. V. Zubkov, S. A. Bezborodov, A. A. Panina, N. V. Kovalenko, A. R. Donsckaia, I. G. Shushkova, A. V. Bykov, Ya. A. Marenkov

“…Statistical processing of the data was carried out using the Python programming language. Five different classifiers were used for machine learning. …”
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A case study in statistical software development for advanced evidence synthesis: the combined value of analysts and research software engineers by Naomi Bradbury, Tom Morris, Clareece Nevill, Janion Nevill, Ryan Field, Suzanne Freeman, Nicola Cooper, Alex Sutton

“…This has been achieved in the R programming language by combining existing R packages that conduct meta-analysis with the shiny web-application package. …”
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Development and approbation of a tool for assessing municipal infrastructure affecting behavioral risk factors for cardiovascular and other noncommunicable diseases by M. V. Popovich, A. V. Kontsevaya, V. A. Zinovieva, S. V. Glukhovskaya, A. N. Savchuk, D. K. Mukaneeva, A. A. Antsiferova, Е. V. Usova, O. M. Drapkina

“…The assessment was made with specialized software developed using Open Street Map (OSM) that allows real-time recording of objects for interactive map data visualization.Results. …”
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Targeting Tumor Endothelial Cells by EGCG Using Specific Liposome Delivery System Inhibits Vascular Inflammation and Thrombosis by Zi Jia, Nako Maishi, Hideki Takekawa, Aya Yanagawa Matsuda, Taisei Nakade, Takashi Nakamura, Hideyoshi Harashima, Yasuhiro Hida, Kyoko Hida

“…Methods In vitro, the effect of EGCG on TECs were studied using real‐time quantitative PCR and immunofluoresence to analyza gene and protein expression. …”
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African swine fever in the Primorsky Krai: disease situation and molecular and biological properties of the isolate recovered from a wild boar long bone by А. R. Shotin, A. S. Igolkin, Ali Mazloum, I. V. Shevchenko, N. S. Bardina, E. O. Morozova, А. А. Shevtsov

“…The ASFV genome was detected in blood samples collected from infected pigs on 5–8 days post infection by real-time polymerase chain reaction. Specific antibodies in blood samples were not detected. …”
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Topology Optimization of the Network with Renewable Energy Sources Generation Based on a Modified Adapted Genetic Algorithm by A. M. Bramm, A. I. Khalyasmaa, S. A. Eroshenko, P. V. Matrenin, N. A. Papkova, D. A. Sekatski

“…The simulation of the modes of electric power systems was performed using the Pandapower library for the Python programming language, which is in the public domain. …”
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An Impedimetric Genosensor for Ultrasensitive Detection of SARS-Cov-2 Genome Based on 3D Reduced Graphene Oxide and Gold Nanoparticle Composite by Zahra Izadi, Mahdi Ghasemi-Varnamkhasti, Mostafa Shakhsi-Niaei, Gh. Mobini

“…Nowadays the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become an endemic disease throughout the world on the other hand intensive worldwide vaccination programs decreased the severity of the affection but early virus detection and disease diagnosis are still important healthcare management of infectious disease control. …”
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