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Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining
Published 2025-05-01“…Additionally, we employed an enhanced Iforest-OCSVM anomaly detection model to assess the performance of the association rules in detecting abnormal estrus. …”
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1263
FORMATION OF A METHODOLOGICAL APPROACH TO CHOOSE AN HR MANAGEMENT STRATEGY TO ENSURE THE FINANCIAL SECURITY OF AN ENTERPRISE
Published 2025-04-01“…We have formed a clear sequence of selection and justification of the optimal HR management strategy in order to ensure the financial security of the enterprise. …”
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1264
Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System
Published 2023-01-01“…Ambient light interference stands as the primary source of noise encountered by the light detection and ranging (LiDAR) systems based on single-photon avalanche diode (SPAD), which seriously restricts the detection range and accuracy of sensors. …”
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1265
CADA: A Flexible and Elastic DDoS Mitigation Architecture
Published 2025-01-01“…Therefore, we propose a genetic algorithm-based quantitative deployment algorithm that generates deployment strategies for each service chain through a fitness function that quantifies response time and resource utilization. …”
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1266
Phonetic minimization of the text corpus in Belarusian for the speech synthesis system training
Published 2019-03-01“…The corpus-based method, unlike previously popular compilation method, uses natural speech database that does not consist of separate specially selected elements of compilation, but represents the corpus of phonograms of natural speech. …”
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1267
Water quality anomaly detection research based on GRU-PINN model
Published 2025-01-01“…Maintaining high-quality water resources is essential for sustainable urban water resource management and public health. …”
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1268
ECONOMIC ANALYSIS OF DEFORESTATION IMPACT ON THE YIELD OF AGRICULTURAL CULTURES IN UKRAINE
Published 2019-01-01“…General concept of the formation and functioning of a forecasting model of scientific and technological development of the region’s agriculture in the digital economy, which is forming in accordance with the well-known Federal program is proposed. …”
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1269
Current approaches to assessment of the impact of the environmental contamination on cancer risk
Published 2020-03-01“…Assessment of the impact of environmental contamination on cancer risk includes: •setting research priorities on the local, regional, and on the all-Russian levels; •the selection of the research that may be maximally socially profitable; •the choice of the research method that the most adequately meets the research objectives; •systemic analysis of the planed research to determine the availability of the resources, personnel, and information; •monitoring of atmospheric pollutions with analysis of the fraction composition of the particulate matters; •coordination of available data basis on environment and the population health conditions; •the implementation of the of molecular biology to determine prenosological manifestation of carcinogenesis and development of fine and diverse research methods on relationships between the environment and cancer risk.For effective implementation of the research objectives aimed to decrease the impact of hazard factors with special reference on cancer risk in the Russian population, it is necessary: to create training personnel capable of providing epidemiologic studies, using up-to day methods, publication of methodological materials, text books, and sufficient funding of studies.…”
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1270
Does tinnitus and emotional distress influence central auditory processing? A comparison of acute and chronic tinnitus in normal-hearing individuals.
Published 2025-01-01“…<h4>Design</h4>This study compared the auditory afferent and efferent functions of normal-hearing patients with acute tinnitus, chronic tinnitus, and control group using gap detection test, the Mandarin Hearing in Noise Test (MHINT), and contralateral suppression of transient evoked otoacoustic emissions (TEOAEs).…”
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1271
Learning Transferable Convolutional Proxy by SMI-Based Matching Technique
Published 2020-01-01“…The classification responses are also smoothened by manifolds of both the source domain and proxy space. By minimizing an objective function of SMI, classification error, and manifold regularization, we learn the convolutional networks of both source and target domains. …”
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1272
Integrating isotopic niche metrics and gut microbiota assembly reveals coexistence mechanisms in subtropical riverine fish
Published 2025-12-01“…Furthermore, our findings indicated fish host trophic niche differentiation emerges as an essential adaptive mechanism facilitating interspecific coexistence by minimizing resource competition. Crucially, we identified the similarity of the intestinal microbial community structure is closely related to the degree of overlap of its nutritional ecological niche, indicating functional convergence between host trophic niches and their symbiotic microbiomes.These microbial adaptations facilitate nutritional optimization from varied trophic sources, mediate interspecific resource partitioning, and expand ecological opportunities within the fish community. …”
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1273
The interplay between antimicrobial resistance, heavy metal pollution, and the role of microplastics
Published 2025-02-01Get full text
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1274
Evaluation of Adulticidal Clorine with Black Sand, White Sand and Silica Sand for Decline Coliform Bacteria
Published 2025-07-01“…This finding suggests that material selection significantly influences the functional performance of chlorine-based water disinfection systems.…”
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Influence of Tear Film Condition in Keratoconus on the Results of Topographic and Tomographic Methods of Corneal Examination. Review
Published 2025-06-01“…In case of dry eye syndrome detection, symptomatic treatment allows to minimize instrument measurement errors and increase functional results of the planned surgical intervention.Of particular interest is the impact of dry eye syndrome on the diagnosis and monitoring of keratoconus, as the two conditions often co-occur. …”
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Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies.
Published 2021-12-01“…To navigate a plume and, for example, find food, they must solve several challenges, including reliably identifying mixtures of odorants and their intensities, and discriminating odorant mixtures emanating from a single source from odorants emitted from separate sources and just mixing in the air. …”
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1277
Research on the Positioning Models and Elemental Guarantees of Convention and Exhibition Buildings in Small and Medium-Sized Cities: Based on Empirical Case Studies
Published 2025-05-01“…Afterward, through surveys, literature reviews, and expert interviews, this study identifies relevant indicators—such as resource factors and development conditions—and applies the importance index method to select 19 core indicators. …”
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Clarification and Prioritization of Omnichannel Marketing Antecedents: A Meta-Synthesis Approach
Published 2024-12-01“…ConclusionAccording to the study's findings, the implementation of omnichannel marketing relies on four key concepts, which are processes and functions, environment, customer interaction, as well as resources and capital. …”
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Medium- and Long-term Runoff Prediction Based on SMA-LSSVM
Published 2022-01-01“…Medium-and long-term runoff prediction is extremely important for flood control,disaster reduction and the utilization efficiency improvement of water resources.To avoid the influence of prediction model parameters on prediction accuracy,this paper proposes a medium-and long-term runoff prediction model based on least squares support vector machine (LSSVM) optimized by the slime mold algorithm (SMA).Firstly,five standard test functions are selected to compare the simulation results of SMA and particle swarm optimization (PSO) algorithms in different dimensions.Secondly,SMA is used to optimize the penalty parameters and kernel parameters of LSSVM,and the comparison models of LSSVM and PSO-LSSVM are constructed.Finally,the models are verified with the monthly runoff of Manwan Hydropower Station Reservoir and Yingluoxia Hydrological Station as prediction examples.The results show that the mean square error of the SMA-LSSVM model is 29.26% and 7.42% lower than those of the LSSVM and PSO-LSSVM models,respectively,in the monthly runoff prediction of the Manwan station,and 32.61% and 6.61% lower,respectively,in the monthly runoff prediction of the Yingluoxia station.The proposed SMA-LSSVM model has better comprehensive prediction performance and also provides a new method for medium- and long-term runoff prediction.…”
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