-
381
Categorizing learners’ needs in English for occupational purposes (EOP): a proposed taxonomy
Published 2024-08-01“…To this end, the researchers employed a sequential exploratory research design hypothesizing and constructing a taxonomy that included four different dimensions of learners’ needs: language, cognitive, psychological and environmental. …”
Get full text
Article -
382
Antecedents of the Intention to Use Implantable Technologies for Nonmedical Purposes: A Mixed-Method Evaluation
Published 2024-01-01“…Instead, a combination of constructs is needed to understand both intention to use and rejection. …”
Get full text
Article -
383
An improve fraud detection framework via dynamic representations and adaptive frequency response filter
Published 2025-05-01“…Leveraging previous research, we constructed a latent synergy network (LSN) through second-order relations. …”
Get full text
Article -
384
Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies
Published 2025-06-01“…The novelty lies in the use of sequential sensor pairings based on structural connectivity to construct TFs that maximize damage sensitivity, combined with one-class classification algorithms for automatic damage detection and a damage index for spatial localization within sensor resolution. …”
Get full text
Article -
385
Autonomy in Action: Designing and Validating a Model of Student-Generated Vocabulary Testing to Enhance Learning
Published 2025-03-01“…The pilot study substantiated the construct validity of the questionnaire through exploratory factor analysis, while Cronbach's alpha affirmed its reliability. …”
Get full text
Article -
386
Abstract visual reasoning based on algebraic methods
Published 2025-01-01“…Traditional neuro-symbolic methods often infer unknown objects through data fitting, without fully exploring the abstract patterns within composite images and the sequential sensitivity of visual sequences. This paper constructs a relation model with object-centric inductive biases, learning end-to-end multi-granular rule embeddings at different levels. …”
Get full text
Article -
387
A Dual-Attentive Multimodal Fusion Method for Fault Diagnosis Under Varying Working Conditions
Published 2025-06-01“…Firstly, multimodal data are constructed by combining original signals, FFT-based frequency spectra, and STFT-based time–frequency images. …”
Get full text
Article -
388
Optimization of Operating Modes of CHPPs as a Way to Reduce Greenhouse Gas Emissions
Published 2023-11-01“…To achieve this goal, the following tasks were solved: a quantitative assessment of the most effective methods of operating units in typical operating modes was given; dependences of changes in the main energy and environmental parameters based on mathematical models of turbine units using real energy characteristics of turbine stages and compartments were constructed; long-term optimization method to exploitation operation of CHPРs to the point of view of reduc-ing greenhouse gas emissions was shown on specific examples. …”
Get full text
Article -
389
How Green Mindful Leadership Drives Employee Green Creativity: The Role of Employee Resilience, Green Identity, and Workplace Digitalization
Published 2025-08-01“…This study applies social cognitive theory, role identity theory, and conservation of resources theory to construct a chained mediation model where green mindful leadership influences employee green creativity through employee resilience and green role identity, and also investigates the moderating effect of workplace digitalization. …”
Get full text
Article -
390
Knowledge Graph-Based Enhanced Transformer for Metro Individual Travel Destination Prediction
Published 2022-01-01“…To solve these problems, this paper proposes a knowledge graph-based enhanced Transformer method (KG-Trans) for the metro individual travel destination prediction task (MITD-Pre), which contains three main modules: (1) the knowledge graph (KG) module constructs a multilayer individual travel KG from top to bottom, which accurately describes the travel individuals and their travel intentions. …”
Get full text
Article -
391
Computer Self-Efficacy and Reactions to Feedback: Reopening the Debate in an Interpretive Experiment with Overconfident Students
Published 2025-04-01“…This study additionally offers a novel three-dimensional CSE construct, an instrument to measure the construct, and a scenario-based tool to conduct experiments with sequential decision tasks in the classroom. …”
Get full text
Article -
392
GCN and GAT-based interpretable knowledge tracing model
Published 2025-05-01“…Meanwhile, GCAKT utilizes the attention weights to construct interpretable paths, aiding to provide interpretable prediction results. …”
Get full text
Article -
393
Sum-Rate Maximization for a Hybrid Precoding-Based Massive MIMO NOMA System with Simultaneous Wireless Information and Power Transmission
Published 2024-09-01“…This paper’s major goal is to construct a low-complexity hybrid-precoder (HP) while taking into account the sub-connected (SC) architecture. …”
Get full text
Article -
394
Comparative study of interpretable and black-box machine learning for modeling mechanical and tribological properties of 3D-printed PLA/date pits composites
Published 2024-12-01“…To address this limitation, we propose Sequential-thresholded Least-squares Sparse Regression (SLSSR), an interpretable modeling approach. …”
Get full text
Article -
395
THE MODERNIZED METHOD OF A MIXED TECHNICAL STATE CONTROL SYSTEM FORMATION BASED ON THE DECOMPOSITION OF RADIO AIDS COMPLEXES
Published 2017-11-01“…The choice of the radio engineering complexes of automation equipment technical state control method for air traffic control (ATC) is determined by a number of constructive, technological and operational characteristics. …”
Get full text
Article -
396
A Novel 3D Vector Decomposition for Color-Image Encryption
Published 2020-01-01“…Furthermore, we employ an 1D chaos, which has strong chaotic properties, and reality-preserving fractional Hartley transform to cooperate 3D vector decomposition for constructing a color-image cryptosystem. Therefore, the proposed cryptosystem accomplishes improved security by reducing the single-channel attack risk in individual color-image encryption and avoiding the vulnerable channel in sequential color-image encryption as well as reduced the amount of data of transform-based cryptosystem by avoiding the complex output. …”
Get full text
Article -
397
Prediction of permeability and effective porosity values using ANN in Maleh field
Published 2025-07-01“…Input values were normalized to the range of 0 to 1, and training was performed using the sequential forward backpropagation algorithm (newcf). …”
Get full text
Article -
398
Temporal distribution and clinical characteristics of the Alpha, Delta and Omicron SARS-CoV-2 variants of concern in Laikipia, Kenya: institutional and community-based genomic surv...
Published 2025-03-01“…Methods: A retrospective analysis was done on convenience specimen from 97 patients, drawn from either Nanyuki Teaching & Referral Hospital, or targeted through community surveillance.NP/OP swabs, collected between May and December 2021, were screened using antigen tests, followed by a confirmatory RT-PCR, whole genome sequencing and construction of sequencing libraries. Clinical symptoms were compared, across the identified VOCs, using the Fisher's exact test. …”
Get full text
Article -
399
Unveiling pathways to enhance hypertension and diabetes care in rural China: a mixed methods study using the care cascade modelResearch in context
Published 2025-05-01“…This study aimed to assess the care cascade for these conditions in rural China, identifying barriers and facilitators at each stage to inform strategies for improving care delivery. Methods: A sequential exploratory mixed methods study was conducted from July 2023 to June 2024 across three rural counties in China (Linqu, Gongyi, Wugang). …”
Get full text
Article -
400
Prediction of early postoperative recurrence of hepatocellular carcinoma by habitat analysis based on different sequence of contrast-enhanced CT
Published 2025-01-01“…Machine learning classification models were constructed as a fusion model combining the three different models, and the models were assessed.ResultsA comprehensive retrospective analysis was conducted on a cohort of 344 patients who underwent hepatic cancer resection at one of the two centers. it was found that the combined SVM model yielded superior results after comparing various metrics, such as the AUC, accuracy, sensitivity, specificity, and DCA.ConclusionsHabitat analysis of sequential CT images can delineate distinct subregions within a tumor, offering valuable insights for early prediction of postoperative HCC recurrence.…”
Get full text
Article