19 research outputs found
Designs of a Secure Wireless LAN Access Technique and an Intrusion Detection System for Home Network
Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models
Current language models tailored for code tasks often adopt the
pre-training-then-fine-tuning paradigm from natural language processing,
modeling source code as plain text. This approach, however, overlooks the
unambiguous structures inherent in programming languages. In this work, we
explore data-efficient adaptation of pre-trained code models by further
pre-training and fine-tuning them with program structures. Specifically, we
represent programs as parse trees -- also known as concrete syntax trees (CSTs)
-- and adapt pre-trained models on serialized CSTs. Although the models that we
adapt have been pre-trained only on the surface form of programs, we find that
a small amount of continual pre-training and fine-tuning on CSTs without
changing the model architecture yields improvements over the baseline approach
across various code tasks. The improvements are found to be particularly
significant when there are limited training examples, demonstrating the
effectiveness of integrating program structures with plain-text representation
even when working with backbone models that have not been pre-trained with
structures
Biomarker Development for Identifying Mud Loach (<i>Misgurnus mizolepis</i>) Origin Country Using Untargeted Metabolite Profiling
Mud loach (Misgurnus mizolepis) has long been consumed in Korea. Recently, Chinese mud loaches were replaced with expensive Korean mud loaches, owing to taste and preference. Such issues occur in aquatic food distribution processes, leading to inferior food delivery. Previously, a study was conducted to confirm the origin of mud loaches using genetic analysis. However, untargeted metabolites profiling of mud loaches has not been reported. Untargeted metabolomics provides information on the overall metabolic profiling of a sample, allowing the identification of new metabolites. Here, we analyzed the metabolites of mud loaches of different geographical origins using liquid chromatography (LC)-quadrupole-time-of-flight mass spectrometry (MS). Orthogonal partial least squares discriminant analysis from LC/MS datasets showed a clear distinction between Korean and Chinese mud loaches, and univariate statistical analysis showed significantly different metabolites between them. N-acetylhistidine and anserine were selected as biomarkers for geographical origin discrimination using the receiver operating characteristic curve. N-acetylhistidine and anserine levels were significantly higher in Chinese than in Korean mud loaches. These results indicate that metabolic analysis can be used to discriminate between the geographical origins of mud loaches, curtailing the inadvertent substitution of mud loaches from different regions
The Role of Human, Organization, and Technology in Health IS Success: A Configuration Theory Approach
Health information system (HIS) is widely used in the healthcare industry to improve healthcare quality. It is essential to evaluate HIS adoption and assimilation in the post-implementation stage. This study argues that the factors influencing HIS success are not isolated, but are determined by the interaction of Human, Organization and Technology. Accordingly, this study proposes a conceptual model based on the HOT-fit framework, combining the IS Success model and the IS Individual Assimilation model to explore the influence of these factors’ interplay on HIS success. We adopt a fuzzy-set qualitative comparative analysis (fsQCA) to showcase that there are five configurations of human, organizational and technological factors that lead to high organization benefit from HIS implementation. This study contributes to the HIS literature by introducing a configurational approach to explore the complex causal relationships between antecedents and outcomes and proposing a holistic model for HIS evaluation
Temporal Changes in Determinants of Electronic Medication Management Systems Benefits: A Qualitative Comparative Analysis
The adoption of information systems changes over time, and to maximize the benefits of these systems, it is important to understand their evolution and align with these changes to determine the operational strategy. This paper aims to investigate the evolution of factors that impact the benefits of electronic medication management system (EMMS) implementation in an Australian hospital. To explore potential temporal changes, a research model was proposed that includes four factors: ease of use, usefulness, colleague opinion, and organizational support, which are expected to affect EMMS benefits. Two similar surveys were conducted at two different time points, immediately after introducing EMMS and after one year of use, with approximately 200 users providing data. The research model was tested using fuzzy-set qualitative comparative analysis (fsQCA), which emphasizes the configurational influence of factors. The results indicate that the solutions that lead to EMMS benefits differ between the two time periods