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1

Griffin, Leigh, Kieran Ryan, Eamonn de Leastar, and Dmitri Botvich. "Scaling Instant Messaging Communication Services." International Journal of Ambient Computing and Intelligence 4, no. 3 (2012): 1–19. http://dx.doi.org/10.4018/jaci.2012070101.

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Designing innovative communications services that scale to facilitate potential new usage patterns can pose significant challenges. This is particularly the case if these services are to be delivered over existing protocols and interoperate with legacy services. This work explores design choices for such a service: large scale message delivery to existing Instant Messaging users. In particular the authors explore message throughput, accuracy and server load for several alternative implementation strategies. These strategies focus on approaches to concurrency, with best practice in current and
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Lu, Baotong, Xiangpeng Hao, Tianzheng Wang, and Eric Lo. "Scaling Dynamic Hash Tables on Real Persistent Memory." ACM SIGMOD Record 50, no. 1 (2021): 87–94. http://dx.doi.org/10.1145/3471485.3471506.

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Byte-addressable persistent memory (PM) brings hash tables the potential of low latency, cheap persistence and instant recovery. The recent advent of Intel Optane DC Persistent Memory Modules (DCPMM) further accelerates this trend. Many new hash table designs have been proposed, but most of them were based on emulation and perform sub-optimally on real PM. They were also piecewise and partial solutions that side-stepped many important properties, in particular good scalability, high load factor and instant recovery.
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Chen, Guanxiong, Xiaopu Han, and Binghong Wang. "Multi-level scaling properties of instant-message communications." Physics Procedia 3, no. 5 (2010): 1897–905. http://dx.doi.org/10.1016/j.phpro.2010.07.034.

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HARRISON, GLENN W. "Field experiments and public policy: festina lente." Behavioural Public Policy 5, no. 1 (2020): 117–24. http://dx.doi.org/10.1017/bpp.2020.28.

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AbstractThe current state of the art in field experiments does not give me any confidence that we should be assuming that we have anything worth scaling, assuming we really care about the expected welfare of those about to receive the instant intervention. At the very least, we should be honest and explicit about the need for strong priors about the welfare effects of changes in averages of observables to warrant scaling. What we need is a healthy dose of theory and the implied econometrics.
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WANG, K. L., and P. KHALILI AMIRI. "NONVOLATILE SPINTRONICS: PERSPECTIVES ON INSTANT-ON NONVOLATILE NANOELECTRONIC SYSTEMS." SPIN 02, no. 02 (2012): 1250009. http://dx.doi.org/10.1142/s2010324712500099.

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Instant-on nonvolatile electronics, which can be powered on/off instantaneously without the loss of information, represents a new and emerging paradigm in electronics. Nonvolatile circuits consisting of volatile CMOS, combined with nonvolatile nanoscale magnetic memory, can make electronics nonvolatile at the gate, circuit and system levels. When high speed magnetic memory is embedded in CMOS logic circuits, it may help resolve the two major challenges faced in continuing CMOS scaling: Power dissipation and variability of devices. We will give a brief overview of the current challenges of CMOS
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Tesse, R., C. Hernalsteens, E. Gnacadja, E. Ramoisiaux, N. Pauly, and M. Vanwelde. "Achromatic gantry design using fixed-field spiral combined-function magnets." Journal of Physics: Conference Series 2420, no. 1 (2023): 012096. http://dx.doi.org/10.1088/1742-6596/2420/1/012096.

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Abstract Arc-therapy and flash therapy are promising proton therapy treatment modalities as they enable further sparing of the healthy tissues surrounding the tumor site. They impose strong constraints on the beam delivery system and rotating gantry structure, in particular in providing high dose rate and fast energy scanning. Fixed-field achromatic transport lattices potentially satisfy both constraints in allowing instant energy modulation and sufficient transmission efficiency while providing a compact footprint. The presented design study uses fixed-field magnets with spiral edges respecti
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Tchalenko, John, and R. Chris Miall. "Auguste Rodin Draws Blind: An Art and Psychology Study." Leonardo 52, no. 5 (2019): 483–91. http://dx.doi.org/10.1162/leon_a_01553.

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Late in his life Rodin produced many thousand “instant drawings.” He asked models to make natural energetic movements, and he would draw them at high speed without looking at his hand or paper. To help understand his “blind drawing” process, the authors tracked the eye and hand movements of art students while they drew blind, copying complex lines presented to them as static images. The study found that line shape was correctly reproduced, but scaling could show major deficiencies not seen in Rodin's sketches. The authors propose that Rodin's direct vision-to-motor strategy, coupled with his h
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Rokhoev, S. A., L. N. Solomin, and D. A. Starchik. "Template of instant centers of rotation developed for the knee joint (experimental study)." Genij Ortopedii 28, no. 4 (2022): 554–58. http://dx.doi.org/10.18019/1028-4427-2022-28-4-554-558.

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Relevance There are data in the literature describing the trajectory of displaced center of rotation of the knee joint. However, data on the exact location of instantaneous centers of rotation at various angles of the knee flexion are not available. Objective To identify the localization of instantaneous centers of rotation at various angles of the knee flexion and present the results in the form of a template. Material and methods The bench testing was performed using a specially developed device that provides fixation of the anatomic cadaver preparation of the lower extremity. The device mad
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Fayolle, M., D. Dirkx, P. N. A. M. Visser, and V. Lainey. "Analytical framework for mutual approximations." Astronomy & Astrophysics 652 (August 2021): A93. http://dx.doi.org/10.1051/0004-6361/202141261.

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Context. The apparent close encounters of two satellites in the plane of the sky, called mutual approximations, have been suggested as a different type of astrometric observation to refine the moons’ ephemerides. The main observables are then the central instants of the close encounters, which have the advantage of being free of any scaling and orientation errors. However, no analytical formulation is available yet for the observation partials of these central instants, leaving numerical approaches or alternative observables (i.e. derivatives of the apparent distance instead of central instant
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Sandeep Konakanchi. "Next-Generation Low-Latency Architectures for Real-Time AI-Driven Cloud Services." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 2307–18. https://doi.org/10.32628/cseit2410612429.

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The rapid evolution of AI-driven applications has created a pressing demand for next-generation low-latency cloud architectures capable of delivering real-time performance. This article explores innovative architectural designs and technologies that push the boundaries of traditional cloud systems to meet the stringent requirements of latency-sensitive AI services. A holistic framework that minimizes latency while maximizing processing efficiency and scalability by integrating edge computing, distributed data processing, adaptive load balancing, and dynamic scaling. The article focuses on opti
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Sim, Sang-Rak, and Dong-Woo Ryu. "A Method for Instant Estimation of the Temperature Experienced by Fire-Damaged Reinforced Concrete Structures Using Titanium." Materials 13, no. 8 (2020): 1993. http://dx.doi.org/10.3390/ma13081993.

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When a concrete structure is exposed to fire, its structural safety is significantly compromised due to the spalling of members and scaling of concrete. In addition, its durability is substantially reduced due to certain chemical changes such as the dehydration of Ca(OH)2, the main hydration product of concrete, and the rehydration of CaO. Therefore, when fire damage occurs to a reinforced concrete (RC) building, rapid diagnosis and evaluation techniques are required for immediate repair and reinforcement, requiring a crucial step of quantitatively determining the heating temperature. This stu
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Deepak Chanda. "Optimizing Real-Time Data Pipelines for AI-Driven Decision-Making: Architectures, Challenges, and Future Trends." Journal of Information Systems Engineering and Management 10, no. 30s (2025): 1–4. https://doi.org/10.52783/jisem.v10i30s.4764.

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Real-time data pipes underlie AI-driven systems for decision-making, enabling instant insights and response in areas such as self-driving vehicles, financial trade, smart cities, and health. The following is an overview of optimizing data pipes in real-time using models such as Lambda, Kappa, and Event-Driven Microservices, and leading technologies such as Apache Kafka, Spark Streaming, and data warehousing in the cloud. The document evaluates primary challenges such as latency, data drift, scalability, and integration complexities and prescribes strategic interventions such as in-memory compu
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Ponnaboina, Abhishek. "Lung Cancer Prediction and Recommendations Using Machine Learning and Generative AI." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49509.

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ABSTRACT This project presents an AI-driven web application designed to predict lung cancer risk and provide person- alized health recommendations. Utilizing a dataset with multiple patient health indicators, the system employs data preprocessing techniques such as categorical encoding and feature scaling. To address class imbalance, Synthetic Minority Oversampling Technique (SMOTE) is applied. The predictive model is built using a Random Forest Classifier trained on the balanced and scaled data, achiev- ing reliable performance for lung cancer detection. The application is implemented with St
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Sokoloff, D. D., V. N., Obridko, I. M., Livshits, and A. S. Shibalova. "Cycle-dependent and cycle-independent surface tracers of solar magnetic activity." Proceedings of the International Astronomical Union 14, A30 (2018): 342–43. http://dx.doi.org/10.1017/s1743921319004563.

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AbstractWe consider several tracers of magnetic activity that separate cycle-dependent contributions to the background solar magnetic field from those that are independent of the cycle. The main message is that background fields include two relative separate populations. The background fields with a strength up to 100 Mx cm−2 are very poorly correlated with the sunspot numbers and vary little with the phase of the cycle. In contrast, stronger magnetic fields demonstrate pronounced cyclic behaviour. Small-scale solar magnetic fields demonstrate features of fractal intermittent behaviour, which
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ELBING, BRIAN R., MICHAEL J. SOLOMON, MARC PERLIN, DAVID R. DOWLING, and STEVEN L. CECCIO. "Flow-induced degradation of drag-reducing polymer solutions within a high-Reynolds-number turbulent boundary layer." Journal of Fluid Mechanics 670 (February 22, 2011): 337–64. http://dx.doi.org/10.1017/s0022112010005331.

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Polymer drag reduction, diffusion and degradation in a high-Reynolds-number turbulent boundary layer (TBL) flow were investigated. The TBL developed on a flat plate at free-stream speeds up to 20ms−1. Measurements were acquired up to 10.7m downstream of the leading edge, yielding downstream-distance-based Reynolds numbers up to 220 million. The test model surface was hydraulically smooth or fully rough. Flow diagnostics included local skin friction, near-wall polymer concentration, boundary layer sampling and rheological analysis of polymer solution samples. Skin-friction data revealed that th
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Mohd Anis, Azaleah, and Nadia Olisa. "THE END OF TRADITIONAL FOCUS GROUPS?" New Trends in Qualitative Research 20, no. 1 (2024): e799. http://dx.doi.org/10.36367/ntqr.20.1.2024.e799.

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The key benefits of qualitative research are rich insights and thick data. However, some argue these come at the cost of small sample sizes and low generalisability of findings. With traditional FGDs (FGDs), this could be addressed by conducting multiple groups. However, this requires significant investment of time and manpower. We explored methods to gather thick data quickly, aiming to increase the number of respondents without increasing manpower or lengthening fieldwork while maintaining data quality. In this paper, we detail our experience running a pilot study of a 1.5 hour online discus
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Walaa, Walaa, Sanjar Mirzaliev, and Reneh Abokhoza. "Social Media Platform Based Evaluation of Teaching Style on Online Education System using Heuristic Search with Stacked Sparse Autoencoder Model." Journal of Intelligent Systems and Internet of Things 14, no. 2 (2025): 115–26. http://dx.doi.org/10.54216/jisiot.140210.

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As online education has become increasingly prominent, the primary objective of this study is to evaluate students' opinions of online classes taught by teachers with no prior experience in online teaching, focusing on their teaching style, teaching efficiency, and pedagogy in the online classroom. Online teaching is a kind of teaching system that depends on network management technology. It concludes the teaching method by the process of live courses or recorded courses employing software containing special online teaching environments and any APP software employed for teaching. Social media,
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Zhu, L., Y. Zheng, C. H. von Kerczek, L. D. T. Topoleski, and R. W. Flower. "Feasibility of Extracting Velocity Distribution in Choriocapillaris in Human Eyes from ICG Dye Angiograms." Journal of Biomechanical Engineering 128, no. 2 (2005): 203–9. http://dx.doi.org/10.1115/1.2165692.

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Indocyanine green (ICG) dye angiography has been used by ophthalmologists for routine examination of the choroidal vasculature in human eyes for more than 20years. In this study, a new approach is developed to extract information from ICG dye angiograms about blood velocity distribution in the choriocapillaris and its feeding blood vessels. ICG dye fluorescence intensity rise and decay curves are constructed for each pixel location in each image of the choriocapillaris in an ICG angiogram. It is shown that at each instant of time the magnitude of the local instantaneous dye velocity in the cho
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Rakesh Yadlapalli. "Technical review: Real-time payment processing system for banking industry." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 2381–88. https://doi.org/10.30574/wjaets.2025.15.3.1147.

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The modern banking landscape demands sophisticated payment processing solutions capable of handling high-volume transactions with minimal latency while maintaining stringent security and compliance standards. This technical review presents a comprehensive evaluation of an advanced real-time payment processing system specifically designed for the banking industry, leveraging event-driven microservices architecture to deliver fast, secure, and scalable transaction handling capabilities. Contemporary financial institutions face mounting pressure to provide instantaneous payment processing while n
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Choudhury, Priyanka, Kanchan Manna, Vivek Rai, and Sambhu Nath Pradhan. "Thermal-Aware Partitioning and Encoding of Power-Gated FSM." Journal of Circuits, Systems and Computers 28, no. 09 (2019): 1950144. http://dx.doi.org/10.1142/s0218126619501445.

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Miniaturization and the continued scaling of CMOS technology leads to the high-power dissipation and ever-increasing power densities. One of the major challenges for the designer at all design levels is the temperature management, particularly the local hot spots along with power dissipation. In this work, the controller circuits which are implemented as Finite State Machines (FSMs) are considered for their thermal-aware and power-aware realization. Using Genetic Algorithm (GA), both encoding and bipartitioning of the FSM circuit are implemented to get two subFSMs such that at a particular ins
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Farhan, Aaqil Durrani, Abdul Muttalib Mohammed, and Sheikh Umar. "Diabetes Prediction System Using Machine Learning." Journal of Advancement in Parallel Computing 8, no. 2 (2025): 9–16. https://doi.org/10.5281/zenodo.15308054.

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<em>Diabetes is a chronic health condition that affects millions of people worldwide, leading to severe complications if left undiagnosed or untreated. Early detection plays a critical role in managing diabetes effectively and reducing long-term health risks. Traditional diagnostic methods, such as blood tests, are often invasive, time-consuming, and require medical supervision. This research presents a machine learning-based system for predicting diabetes using patient health data. The study utilizes the PIMA Indian Diabetes Dataset, applying Random Forest Classifier due to its ability to han
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Zhang, Haoqiang, Shengjing Tang, Jie Guo, and Wan Zhang. "A Two-Phased Guidance Law for Impact Angle Control with Seeker’s Field-of-View Limit." International Journal of Aerospace Engineering 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/7403639.

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A two-phased guidance problem with terminal impact angle constraints and seeker’s field-of-view limit is addressed in this paper for a missile against a nonmaneuvering incoming target. From the conventional PN guidance without any constraints, it is found that satisfying the impact angle constraint causes a more curved missile trajectory requiring a large look angle. To avoid the look angle exceeding the seeker’s physical limit, a two-phased look angle control guidance scheme with the terminal constraint is introduced. The PN-typed guidance law is designed for each guidance phase with a specif
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BOUNIAS, M., and A. BONALY. "TOPOLOGICAL AND NONLINEAR PROPERTIES OF LIGAND-RECEPTOR SYSTEMS." Journal of Biological Systems 04, no. 03 (1996): 315–52. http://dx.doi.org/10.1142/s0218339096000235.

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Ligand-receptor (L-R) interactions involving substrate-enzyme and hormone-receptor systems, obey complex processes. Many parameters are not easily addressed in classical kinetic approaches; most are generally based on the probabilistic mass-action law and equilibrium constants. We describe the system in terms of tessellation of the reactional space with balls B(x, Γ) centered on the reactive species and whose radius (Γ), used as a scaling unit, is derived from the Hausdorff distance η=dist(L, R). This value is altered by a set of corrective terms representing interactions with inert and non-re
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Ogunsakin, Ropo E., Oluwakemi Ebenezer, Maryam A. Jordaan, Michael Shapi, and Themba G. Ginindza. "Mapping Scientific Productivity Trends and Hotspots in Remdesivir Research Publications: A Bibliometric Study from 2016 to 2021." International Journal of Environmental Research and Public Health 19, no. 14 (2022): 8845. http://dx.doi.org/10.3390/ijerph19148845.

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In response to global efforts to control and exterminate infectious diseases, this study aims to provide insight into the productivity of remdesivir research and highlight future directions. To achieve this, there is a need to summarize and curate evidence from the literature. As a result, this study carried out comprehensive scientific research to detect trends in published articles related to remdesivir using a bibliometric analysis. Keywords associated with remdesivir were used to access pertinent published articles using the Scopus database. A total of 5321 research documents were retrieve
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Brazeau, Randi H., and Marc A. Edwards. "WATER AND ENERGY SAVINGS FROM ON-DEMAND AND HOT WATER RECIRCULATING SYSTEMS." Journal of Green Building 8, no. 1 (2013): 75–89. http://dx.doi.org/10.3992/jgb.8.1.75.

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Electric hot water recirculation and on-demand instant hot water systems have been identified as “green” water systems due to purported energy and water savings, and some municipalities and districts even require green systems in residences. The performance of these devices have never been rigorously tested and evaluated. This work aims to address that gap by conducting a comparative, head-to-head study evaluating energy efficiency, temperature profiles and consumer issues such as cost and quality of system for two “green” water heating systems as compared to a standard water heater. Not only
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Srikanth, Jonnakuti. "TRANSFER LEARNING FOR INDUSTRIAL IOT FORECASTING: METHODS AND CLOUD IMPLEMENTATIONS." International Journal of Engineering Technology Research & Management (IJETRM) 02, no. 12 (2018): 125–34. https://doi.org/10.5281/zenodo.15455732.

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The deep learning models over general sensor datasets can be efficiently fine-tuned to improve forecastingaccuracy manufacturing domains. Through the transfer learning framework, manufacturers can leverageextensively trained models and fine-tune them for their specialized applications using scarce domain-specific data,minimizing training expenses and enhancing model stability. Cloud-machine learning services, like Azure MLand AWS Sage Maker, offer instant deployment and scaling of such fine-tuned models, providing ease ofintegration into industrial IoT ecosystems. The approach is aimed at the
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Sabelnikov, Vladimir A., and Andrei N. Lipatnikov. "Passive Front Propagation in Intense Turbulence: Early Transient and Late Statistically Stationary Stages of the Front Area Evolution." Energies 14, no. 16 (2021): 5102. http://dx.doi.org/10.3390/en14165102.

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The influence of statistically stationary, homogeneous isotropic turbulence (i) on the mean area of a passive front propagating in a constant-density fluid and, hence, (ii) on the mean fluid consumption velocity u¯T is explored, particularly in the case of an asymptotically high turbulent Reynolds number, and an asymptotically high ratio of the Kolmogorov velocity to a constant speed u0 of the front. First, a short early transient stage is analyzed by assuming that the front remains close to a material surface that coincides with the front at the initial instant. Therefore, similarly to a mate
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Tesfa, Tewodros, Behailu Hawulte, Abebe Tolera, and Degu Abate. "Hepatitis B virus infection and associated risk factors among medical students in eastern Ethiopia." PLOS ONE 16, no. 2 (2021): e0247267. http://dx.doi.org/10.1371/journal.pone.0247267.

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Background Hepatitis B virus (HBV) is a highly contagious pathogen that has become a severe public health problem and a major cause of morbidity and mortality, particularly in developing countries. Medical students are at high occupational risk during their training. However, no facility-based studies were found among medical students in eastern Ethiopia. Thus, this study aimed to investigate the seroprevalence of Hepatitis B Virus and associated factors among medical students in eastern Ethiopia. Methods A facility-based cross-sectional study was conducted among 407 randomly selected medical
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Ali, Tarek, Kati Kühnel, Ricardo Olivo, et al. "Impact of the Ferroelectric Stack Lamination in Si Doped Hafnium Oxide (HSO) and Hafnium Zirconium Oxide (HZO) Based FeFETs: Toward High-Density Multi-Level Cell and Synaptic Storage." Electronic Materials 2, no. 3 (2021): 344–69. http://dx.doi.org/10.3390/electronicmat2030024.

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A multi-level cell (MLC) operation as a 1–3 bit/cell of the FeFET emerging memory is reported by utilizing optimized Si doped hafnium oxide (HSO) and hafnium zirconium oxide (HZO) based on ferroelectric laminates. An alumina interlayer was used to achieve the thickness independent of the HSO and HZO-based stack with optimal ferroelectric properties. Various split thicknesses of the HSO and HZO were explored with lamination to increase the FeFET maximum memory window (MW) for a practical MLC operation. A higher MW occurred as the ferroelectric stack thickness increased with lamination. The maxi
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Ibrahim, Ibrahim, Warshine Barry, and Narek Badjajian. "Enhancing Cloud Computing Efficiency with Crocodile Optimization Algorithm: A Novel Approach to Distributed Workload and VM Management." Fusion: Practice and Applications 17, no. 2 (2025): 51–61. http://dx.doi.org/10.54216/fpa.170205.

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Cloud computing has introduced itself as a mighty mechanism for delivering customers through the service model with on-demand, scalable, and instant access to computer resources. It will conduct effective load balancing and resource management, high importance so that the cloud system works with optimized performance and resource utilization. This gives a new strategy in load balancing and virtual machine (VM) control in cloud computing applied in the field using the Crocodile Optimization Algorithm (COA) for better performance. Inspired by crocodile hunting behaviors, the COA-based strategy i
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Deka, Nilotpal, Devaj Neogi, Atowar ul Islam, and Sangeeta Borkakoty. "AN AUTOMATED CROP MONITORING AND IRRIGATION SYSTEM WITH PREDICTIVE ANALYSIS." PERIÓDICO TCHÊ QUÍMICA 21, no. 47 (2024): 24–41. http://dx.doi.org/10.52571/ptq.v21.n47.2024_03_atowar_pg_24_41.pdf.

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Background: The rising global population and decreasing agricultural land challenge the food supply, worsened by land degradation and water scarcity. Using IoT solutions, precision farming offers promise for addressing these issues by enhancing productivity, profitability, and environmental sustainability. The paper proposes an IoT-based automated monitoring and irrigation system with predictive analysis as a solution. Aims: To develop an IoT-based irrigation model with cloud computing, a mobile app for remote monitoring and irrigation control, and a predictive analysis method for forecasting
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Kozachko, O. M., Y. M. Kryzhanovskyi, S. O. Zhukov, and I. V. Varchuk. "IMPROVEMENT OF ASSIGNING TASKS METHOD FOR THE VEHICLE MAINTENANCE EMPLOYEES BASED ON GENETIC AND HUNGARIAN ALGORITHMS." Information technology and computer engineering 57, no. 2 (2023): 25–32. http://dx.doi.org/10.31649/1999-9941-2023-57-2-25-32.

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The method of automated process of assigning tasks to employees of vehicle service stations based on genetic and Hungarian algorithms has been improved, which, unlike existing ones, takes into account the complexity of the task, the time of task execution and the qualifications of workers, and also allows to speed up and optimize the workflow at vehicle service stations. To evaluate the optimality of solution options, a new criterion is proposed, which, in addition to the qualifications of the worker, the complexity and time of the task, allows taking into account the needs of the enterprise i
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de la Torre, Juan Carlos, Pablo Pavón-Domínguez, Bernabé Dorronsoro, Pedro L. Galindo, and Patricia Ruiz. "Multi-Signal Multifractal Detrended Fluctuation Analysis for Uncertain Systems —Application to the Energy Consumption of Software Programs in Microcontrollers." Fractal and Fractional 7, no. 11 (2023): 794. http://dx.doi.org/10.3390/fractalfract7110794.

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Uncertain systems are those wherein some variability is observed, meaning that different observations of the system will produce different measurements. Studying such systems demands the use of statistical methods over multiple measurements, which allows overcoming the uncertainty, based on the premise that a single measurement is not representative of the system’s behavior. In such cases, the current multifractal detrended fluctuation analysis (MFDFA) method cannot offer confident conclusions. This work presents multi-signal MFDFA (MS-MFDFA), a novel methodology for accurately characterizing
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Bellinger, E. P., S. Hekker, G. C. Angelou, A. Stokholm, and S. Basu. "Stellar ages, masses, and radii from asteroseismic modeling are robust to systematic errors in spectroscopy." Astronomy & Astrophysics 622 (February 2019): A130. http://dx.doi.org/10.1051/0004-6361/201834461.

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Context. The search for twins of the Sun and Earth relies on accurate characterization of stellar and the exoplanetary parameters age, mass, and radius. In the modern era of asteroseismology, parameters of solar-like stars are derived by fitting theoretical models to observational data, which include measurements of their oscillation frequencies, metallicity [Fe/H], and effective temperature Teff. Furthermore, combining this information with transit data yields the corresponding parameters for their associated exoplanets. Aims. While values of [Fe/H] and Teff are commonly stated to a precision
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Enow, Ojong Felix, Andrew Tochukwu Ofoedu, Ebimor Yinka Gbabo, and Possible Emeka Chima. "Advances in Real-Time Data Ingestion Strategies Using Fivetran, Rudderstack, and Open-Source ELT Tools." Journal of Frontiers in Multidisciplinary Research 3, no. 1 (2022): 500–516. https://doi.org/10.54660/.jfmr.2022.3.1.500-516.

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The exponential growth of data generated from diverse sources necessitates the development of robust, real-time data ingestion strategies that can ensure seamless, efficient, and scalable data integration. This paper explores recent advances in real-time data ingestion by focusing on the role of Fivetran, Rudderstack, and leading open-source ELT tools in modern data architectures. Real-time ingestion frameworks have evolved from batch-oriented processes to streaming models, supporting the demand for low-latency analytics and operational intelligence. Fivetran and Rudderstack exemplify automate
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Wu, Honghong, Shiyong Huang, Xin Wang, Zhigang Yuan, Jiansen He, and Liping Yang. "Intermittency of Magnetic Discontinuities in the Near-Sun Solar Wind Turbulence." Astrophysical Journal Letters 947, no. 2 (2023): L22. http://dx.doi.org/10.3847/2041-8213/acca20.

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Abstract The intermittency domain is in the magnetohydrodynamic inertial range but just above the dissipation range and contains the intermittent structures that influence the spectral index. However, the nature of these structures is still under debate and how they affect the higher-order scaling behavior in the near-Sun solar wind turbulence remains to be investigated. Here we use the magnetic field data measured by Parker Solar Probe in the near-Sun solar wind. We identify the intermittency by partial variance of increments method and conduct the multiorder structure functions analyses in t
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Nagture, Mr Virendra, Mr Rohan Patil, Mr Ashish Hol, Mr Rushiraj Watekar, and Prof Nilesh Pawar. "Performance of SI Engine under the Effect of Magnetic Field by using CNG, Petrol and Ethanol." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 252–57. http://dx.doi.org/10.22214/ijraset.2022.42162.

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Abstract: The invention resides within the field of treatment of hydrocarbon fuels in liquid or gaseous form, to extend the fuelburning efficiency, by exposing the fuel in containment vessels or conduits to a shaped uniform field of force with a relentless directional flux. Hydrocarbon fuels have long branched geometric chains of carbon atoms which tend to fold over onto themselves and on adjoining molecules because of inter molecular electromagnetic attraction existing between like molecules or atoms. It is vital to grasp that in a very fluid that's subjected to an external field the electron
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Opoku, P. "Establishing Cancer Information Service in Ghana." Journal of Global Oncology 4, Supplement 2 (2018): 128s. http://dx.doi.org/10.1200/jgo.18.48500.

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Background: African Cancer Organization (ACO) seeks to establish a Cancer Information Service (CIS) Centre in Accra, Ghana to offer information about cancer prevention to the general public and businesses. The whole idea is to promote awareness of cancer and early detection through culturally sensitive and linguistically appropriate cancer information and education programs. The project will navigate people to appropriate facilities for screening, further diagnosis, management and support. This we believe will help prevent people from getting exposed to avoidable cancer risk factors and also h
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Vaillant, Christophe L., and Marko T. Cvitaš. "Rotation-tunneling spectrum of the water dimer from instanton theory." Physical Chemistry Chemical Physics 20, no. 42 (2018): 26809–13. http://dx.doi.org/10.1039/c8cp04991b.

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Abdul Muqtadir Mohammed and Junaid Syed. "Revolutionizing Autonomous Cloud Infrastructure: AI-Driven Predictive Auto Scaling with Attribute-Based Instance Selection in AWS." Journal of Computer Science and Technology Studies 7, no. 2 (2025): 249–53. https://doi.org/10.32996/jcsts.2025.7.2.24.

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Dynamic resource provisioning is essential for cost efficiency and performance in cloud computing, yet prevailing auto-scaling practices are predominantly reactive. This paper presents a novel framework that integrates advanced predictive analytics—employing a hybrid of LSTM and Transformer-based models—with Amazon EC2’s attribute-based instance selection in Auto Scaling Groups. Our system learns from 90 days of multi-resolution workload data and leverages adaptive statistical confidence metrics to adjust pricing thresholds for Spot Instances. Simulated experiments using real-world AWS workloa
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Zhou, Qifei, Lin Yan, Zihao Wang, Na Ren, and Changqing Zhu. "Multi-Instance Zero-Watermarking Algorithm for Vector Geographic Data." ISPRS International Journal of Geo-Information 14, no. 2 (2025): 54. https://doi.org/10.3390/ijgi14020054.

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To address the variability and complexity of attack types, this paper proposes a multi-instance zero-watermarking algorithm that goes beyond the conventional one-to-one watermarking approach. Inspired by the class-instance paradigm in object-oriented programming, this algorithm constructs multiple zero watermarks from a single vector geographic dataset to enhance resilience against diverse attacks. Normalization is applied to eliminate dimensional and deformation inconsistencies, ensuring robustness against non-uniform scaling attacks. Feature triangle construction and angle selection are furt
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Gonzalez, Cleotilde, and Jolie M. Martin. "Scaling up Instance-Based Learning Theory to Account for Social Interactions." Negotiation and Conflict Management Research 4, no. 2 (2011): 110–28. http://dx.doi.org/10.1111/j.1750-4716.2011.00075.x.

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Osa Sanchez, Ainhoa, Oscar Jossa-Bastidas, Amaia Mendez-Zorrilla, Ibon Oleagordia-Ruiz, and Begonya Garcia-Zapirain. "Multisource data for monitoring and intervention of loneliness in the elderly." International Journal of Integrated Care 25 (April 9, 2025): 08. https://doi.org/10.5334/ijic.icic24003.

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Loneliness is harmful to health like smoking, obesity or environmental pollution and is considered a critical public health issue. Studies report that between 24.7% and 33% of people feel lonely. In the population over 80 years it has increased since 1970 from 11% to 50%. Loneliness increases a person’s risk of premature death from all causes, including dementia and heart disease. In the elderly, it causes difficulty in maintaining an independent life. This study aims to apply artificial intelligence to monitor data that comes from IoT systems with Amazon Web Services serverless architecture a
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Astuti, Sri, and Lulu Chaerani Munggaran. "PEMILIHAN ARSITEKTUR BASIS DATA BERDASARKAN ANALISIS KINERJA ORACLE INSTANCE TUNGGAL DAN RAC." Jurnal Ilmiah Informatika Komputer 27, no. 2 (2022): 107–21. http://dx.doi.org/10.35760/ik.2022.v27i2.5993.

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Beban yang semakin bertambah pada suatu server basis data dapat mengakibatkan menurunnya performa sistem untuk menyelesaikan perintah penggunanya. Berkurangnya performa dari server tersebut juga bisa berdampak terhadap response time yang semakin lambat. Salah satu cara meningkatkan kinerja server adalah dengan menambahkan sumber daya berupa server baru yang bisa dikonfigurasikan sebagai cluster. Penambahan server baru tersebut dapat disebut sebagai horizontal scaling. Horizontal scaling membantu dalam pembagian beban kerja dalam pemprosesan data. Tujuan dari penelitian ini adalah membandingkan
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Yuan, Jinlong, Jun Xie, Honglei Xu, Enmin Feng, and Zhilong Xiu. "Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process." Complexity 2019 (February 3, 2019): 1–15. http://dx.doi.org/10.1155/2019/4979580.

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Based on the deterministic description of batch culture expressed in form of switched ordinary differential equations, we introduce a switched stochastic counterpart system with initial state difference together with uncertain switching instants and system parameters to model the process of glycerol biodissimilation to 1,3-propanediol (1,3-PD) induced byKlebsiella pneumoniae(K. pneumoniae). Important properties of the stochastic system are discussed. Our aim is to obtain the unified switched instants and system parameters under the condition of different initial states. To do this, we will for
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WHITE, ALAN R. "DYNAMICAL SYMMETRY BREAKING, AXION DYNAMICS AND INSTANTON-INDUCED SECOND-CLASS τ-DECAYS". Modern Physics Letters A 02, № 12 (1987): 945–55. http://dx.doi.org/10.1142/s0217732387001208.

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Small color instantons, which have been proposed as a mechanism to raise the axion mass, may also produce a large rate for the second-class τ-decay mode τ → πηντ. The growth of the QCD coupling and large anomalous dimension scaling properties needed are natural consequences of dynamical electroweak symmetry breaking by color sextet quarks.
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Pang, Xinying, Chang Xu, and Yitian Xu. "Scaling KNN multi-class twin support vector machine via safe instance reduction." Knowledge-Based Systems 148 (May 2018): 17–30. http://dx.doi.org/10.1016/j.knosys.2018.02.018.

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de Haro-García, Aida, and Nicolás García-Pedrajas. "A divide-and-conquer recursive approach for scaling up instance selection algorithms." Data Mining and Knowledge Discovery 18, no. 3 (2008): 392–418. http://dx.doi.org/10.1007/s10618-008-0121-2.

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González Rodrigo, Enrique, Juan A. Aledo, and Jose A. Gamez. "Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering." Progress in Artificial Intelligence 8, no. 3 (2019): 389–99. http://dx.doi.org/10.1007/s13748-019-00189-9.

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Derrac, Joaquín, Salvador García, and Francisco Herrera. "A Survey on Evolutionary Instance Selection and Generation." International Journal of Applied Metaheuristic Computing 1, no. 1 (2010): 60–92. http://dx.doi.org/10.4018/jamc.2010102604.

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The use of Evolutionary Algorithms to perform data reduction tasks has become an effective approach to improve the performance of data mining algorithms. Many proposals in the literature have shown that Evolutionary Algorithms obtain excellent results in their application as Instance Selection and Instance Generation procedures. The purpose of this paper is to present a survey on the application of Evolutionary Algorithms to Instance Selection and Generation process. It will cover approaches applied to the enhancement of the nearest neighbor rule, as well as other approaches focused on the imp
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