Knowledge tracing (KT) is an intelligent educational technology used to model students' learning progress and mastery in adaptive environments for personalized education. Despite utilizing deep models KT, current approaches often oversimplify exercise records into knowledge sequences, which fail explore the rich information within individual questions. Additionally, existing KT tend neglect complex, higher-order relationships between questions latent concepts. Therefore, we introduce a novel...

Last year has witnessed the re-flourishment of tag-aware recommender systems supported by LLM-enriched tags. Unfortunately, though large efforts have been made, current solutions may fail to describe diversity and uncertainty inherent in user preferences with only tag-driven profiles. Recently, development geometry-based techniques, e.g., box embeddings, now could be fully modeled as range within a high dimension space. However, defect still exists these approaches are incapable capturing...

The sequential recommender (SR) system is a crucial component of modern systems, as it aims to capture the evolving preferences users. Significant efforts have been made enhance capabilities SR systems. These methods typically follow model-centric paradigm, which involves developing effective models based on fixed datasets. However, this approach often overlooks potential quality issues and flaws inherent in data. Driven by data-centric AI, we propose novel paradigm for an ideal training...

Recently, a new extension of fuzzy sets, Pythagorean sets (PFS), has attracted lot attention from scholars in various fields research. Due to PFS's powerfulness modeling the imprecision human perception multicriteria decision-making (MCDM) problems, this paper aims extend classical preference ranking organization method enrichment evaluations (PROMETHEE) into environment. The proposed takes not only weights related different criteria but also relations as numbers, therefore providing broader...

Intervertebral disc disease is a multifactorial condition, yet pathogenesis that can be promoted by single dominant mutation affecting the expression of susceptibility genes. We performed case-control study to assess influence COL9A2 Gln326Arg polymorphism on risk intervertebral in Chinese population. Between March 2014 and 2015, total 215 patients 230 healthy controls were recruited from Binzhou Medical University Hospital. Genotyping was carried out using polymerase chain...

Data integrity assessment measures the of data set to provide basis for selection, optimization and evaluation relevant algorithms. This paper proposes that can be evaluated on processed after using dependence, result is sufficient express true set. also puts forward index based gives definition, method practical application, realizing evaluating overall from multiple dimensions. Finally, applicability large-scale accuracy attribute value are verified by experiments.

The Zone of Proximal Development holds that instruction and development are processes influence depend on each other, emphasizing the differences between different individuals. This study takes full consideration ZPD among learning individuals with diversification overlapping, which innovatively construct a community based community. On this basis, scaffolding instructional pattern is introduced to design practical activities, provides research ideas approaches for teaching finally forms...

Planarians, which have a large population of stem cells called neoblasts, are molecularly tractable model systems used in the study regeneration.However, planarians strong resistance to hunger and developed growth arrest strategies.For example, they can change their size undergo regression during starvation periods.The results current show that microRNA, miR-71b, insulin/IGF-1 signaling pathway important functions development starvation-induced planarians.We demonstrate tissuespecific...

Cross-domain recommendation (CDR), aiming to extract and transfer knowledge across domains, has attracted wide attention for its efficacy in addressing data sparsity cold-start problems. Despite significant advances representation disentanglement capture diverse user preferences, existing methods usually neglect enhancement lack rigorous decoupling constraints, thereby limiting the of relevant information. To this end, we propose a Unified Framework Adaptive Representation Enhancement...

The sequential recommender (SR) system is a crucial component of modern systems, as it aims to capture the evolving preferences users. Significant efforts have been made enhance capabilities SR systems. These methods typically follow \textbf{model-centric} paradigm, which involves developing effective models based on fixed datasets. However, this approach often overlooks potential quality issues and flaws inherent in data. Driven by \textbf{data-centric} AI, we propose novel data-centric...

Last year has witnessed the re-flourishment of tag-aware recommender systems supported by LLM-enriched tags. Unfortunately, though large efforts have been made, current solutions may fail to describe diversity and uncertainty inherent in user preferences with only tag-driven profiles. Recently, development geometry-based techniques, e.g., box embedding, now could be fully modeled as range within a high dimension space. However, defect still exists these approaches are incapable capturing...

In the multimedia teaching environment, there are several new characteristics in database curriculum, such as more contents, faster speed, higher difficulty and so on. order to strengthen curriculum quality, improve learning effect, a method is proposed, which takes cases basis. The basic practical operations, confirmatory experiments, used establish students' perceptual cognition database. Then theoretical framework of introduced students their rational cognition. Finally, should Solve real...

In order to solve the calculation problem in detonation and extinction simulation of smoke munitions provide a directly data analyse correlative parameters which is used describe munitions, matlab/GUI this paper by we finish evaluating those because strong calculating capability Matlab draw movement trace with functions provided Matlab. A nicer interactive GUI designed offering intuitionistic study concerned Munitions different situation such as format quantity. Empirical show result nearly...

Focusing on massive high-dimensional data reduction, this paper established the ontology model of to improve related theoretical methods and propose an ontology-based reduction system architecture. Data workflow model, pattern mining, optimization experiment design based knowledge base are studied achieve accumulation, sharing reuse enhance intelligence level process as well credibility results. A mechanism meta-reduction framework its technology is put forward so availability, flexibility...

Data quality problems are analyzed to get several typical problems, such as data missing, duplication, abnormality, inconsistency and logic error. In order resolve these a universal management software is proposed. This provides cleaning method for each problem evaluates the effect of methods, manages plug-in components use. The architecture critical technologies introduced in detail, main steps shown with specific application. According feedback users, this new powerful, adaptable, simple...