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481
Data-Driven R&D&I Management for Societal Impacts: Introduction and Application of AgroRadarEval
Published 2024-12-01Get full text
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482
Application research of 3D virtual interactive technology in interactive teaching of arts and crafts
Published 2024-12-01“…In the virtual reality teaching of arts and crafts, the uploaded image data often contains a lot of noise, which significantly reduces the quality of uploaded images and seriously affects the teaching effect of interactive teaching of arts and crafts based on virtual reality. …”
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483
Physical Engagement in Face-to-Face Interaction Is Associated with Depressive Symptoms of Interaction Partners in the Workplace
Published 2024-10-01“…The analysis utilized face-to-face interaction data from 449 employees across ten organizations, measured using wearable devices, along with a self-reported depression scale. …”
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484
Predicting potential suitable habitat of Cistanche deserticola by integrating parasitic constraints and land use data into MaxEnt modeling
Published 2025-08-01“…This study proposes a two-dimensional modeling framework that integrates parasitic constraints and land use dynamics to predict the potential suitable habitat of Cistanche deserticola, a medicinal plant obligately parasitic on Haloxylon ammodendron.MethodsUsing an optimized MaxEnt model, host suitability probability was incorporated as a continuous probabilistic constraint, and high-resolution land use data were coupled to enhance ecological realism. …”
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485
Benzbromarone interferes with the interaction between Hsp90 and Aha1 by interacting with both of them
Published 2025-05-01“…Here in this manuscript, by using the discovered dual-modulator Benzbromarone as the probe, the pocket in Aha1 responsible for compound recognition is defined. …”
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486
Integrating Learning-Driven Model Behavior and Data Representation for Enhanced Remaining Useful Life Prediction in Rotating Machinery
Published 2024-10-01“…Unlike traditional Rex architectures, this unified framework allows fine tuning of RexNet hyperparameters, simplifying their application. By combining data quality analysis with RexNet, this methodology explores multi-model behaviors and deeper interactions between dependent (e.g., health and condition indicators) and independent variables (e.g., Remaining Useful Life (RUL)), offering richer insights than conventional methods. …”
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487
Dual Directional Expansion of Classical Cepheids in the Small Magellanic Cloud Revealed by Gaia Data Release 3
Published 2025-01-01“…We present the three-dimensional kinematics of classical Cepheids (CCs) in the Small Magellanic Cloud (SMC) using Gaia DR3 data. By crossmatching the CCs obtained from the fourth phase of the Optical Gravitational Lensing Experiment with Gaia DR3, we obtain distances and proper motions (PMs) for 4236 CCs. …”
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488
Updating the criteria for assessing the state of the railway track according to the data of track measuring equipment
Published 2022-12-01“…As a result, the number of kilometres with limited train speeds has increased by up to 3 times, which may lead to significant losses in transportation and an increase in the cost of the immediate track maintenance.Materials and methods. Data from a special thoroughfare of a diagnostic complex along the operating lines of Russian Railways were used to analyse the actual distribution of types and magnitudes of malfunctions, the number and causes of the speed limits. …”
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489
PhosphoPep—a phosphoproteome resource for systems biology research in Drosophila Kc167 cells
Published 2007-10-01“…Finally, all data can be readily exported, for example, for targeted proteomics approaches and the data thus generated can be again validated using PhosphoPep, supporting iterative cycles of experimentation and analysis that are typical for systems biology research.…”
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490
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An improved algorithm for prediction of vehicle trajectories using short-term goal-driven network
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492
Improving gut virome comparisons using predicted phage host information
Published 2025-05-01“…Furthermore, existing taxonomic frameworks offer limited insight into their interactions with bacterial hosts. In this study, we propose using predicted phage host families (PHFs) as a higher-level classification unit to enhance functional cross-study comparisons. …”
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The stakeholder game mechanisms in land use change of Caohai National Nature Reserve
Published 2025-03-01“…By integrating real data on land use changes, ecological quality indices, and economic incentives, this study identifies the driving forces behind stakeholder behavior and land use evolution from 2000 to 2020. …”
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495
Retrieving Memory Content from a Cognitive Architecture by Impressions from Language Models for Use in a Social Robot
Published 2025-05-01“…Using a combined system consisting of an Adaptive Control of Thought-Rational (ACT-R) model and a humanoid social robot, we show how recollections from the declarative memory of the ACT-R model can be retrieved using data obtained by the robot via an LLM or VLM, processed according to the procedural memory of the cognitive model and returned to the robot as instructions for action. …”
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496
Teaching Statistical Concepts Using Computing Tools: A Review of the Literature
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497
Characterizing tomato genotypes in the varied climates of north-western Himalayas and implications for environmental resilience using GGE Biplot analyses
Published 2025-08-01“…Abstract The current investigation, titled “Genotype x Environment interaction of tomato (Solanum lycopersicum L.) genotypes using GGE biplot analyses,” was carried out 2022-23 across three locations in Himachal Pradesh, India through GGE biplot analysis. …”
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498
Damage Identification Using Measured and Simulated Guided Wave Damage Interaction Coefficients Predicted Ad Hoc by Deep Neural Networks
Published 2025-03-01“…An experimental training data set is used, where the WDICs of a selected damage type are extracted from measurements using a scanning laser Doppler vibrometer. …”
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An inductive learning-based method for predicting drug-gene interactions using a multi-relational drug-disease-gene graph
Published 2025-08-01“…In our study, by integrating disease nodes to avoid data sparsity, a multi-relational drug-disease-gene (DDG) graph was constructed to achieve effective fusion of data on DDG intro-relationships and inter-actions. …”
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