K. Robert Lai
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View article: Forecasting Climate-driven Dengue Incidence in Penang, Malaysia
Forecasting Climate-driven Dengue Incidence in Penang, Malaysia Open
Dengue continues to pose a major public health challenge in Malaysia, with no definitive cure currently available. Although the Ministry of Health of Malaysia has implemented various measures to control outbreaks, the number of cases keeps…
View article: Characterizing the Surface Grain Size Distribution in a Gravel-Bed River Using UAV Optical Imagery and SfM Photogrammetry
Characterizing the Surface Grain Size Distribution in a Gravel-Bed River Using UAV Optical Imagery and SfM Photogrammetry Open
Understanding the sediment grain size distribution in riverbeds is important prior to analyzing sediment transport, riverbed morphology, and ecological habitats. Previous studies have demonstrated the potential of grain size estimation by …
View article: Exploring the Convergence of Nanomedicine Application in Organoid Research Through a Scientometric Overview of Publications from 2015-2025
Exploring the Convergence of Nanomedicine Application in Organoid Research Through a Scientometric Overview of Publications from 2015-2025 Open
The convergence of nanomedicine and organoid technology has emerged as a promising frontier in biomedical science, offering improved platforms for disease modelling, drug testing, and precision therapy. However, the interdisciplinary lands…
View article: Characterizing the Surface Grain Size Distribution in a Gravel-Bed River Using UAV Optical Imagery and SfM Photogrammetry
Characterizing the Surface Grain Size Distribution in a Gravel-Bed River Using UAV Optical Imagery and SfM Photogrammetry Open
Understanding the sediment grain size distribution in riverbeds is important prior to analyzing sediment transport, riverbed morphology, and ecological habitats. Previous studies have demonstrated the potential of grain size estimation by …
View article: LAI: Label Annotation Interaction based Representation Enhancement for End to End Relation Extraction
LAI: Label Annotation Interaction based Representation Enhancement for End to End Relation Extraction Open
End-to-end relation extraction (E2ERE) generally performs named entity recognition and relation extraction either simultaneously or sequentially. While numerous studies on E2ERE have centered on enhancing span representations to improve mo…
View article: Large-Language-Model Enabled Semantic Communication Systems
Large-Language-Model Enabled Semantic Communication Systems Open
Large language models (LLMs) have recently demonstrated state-of-the-art performance across various natural language processing (NLP) tasks, achieving near-human levels in multiple language understanding challenges and aligning closely wit…
View article: Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model
Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model Open
Discussion features in online communities can be effectively used to diagnose depression and allow other users or experts to provide self-help resources to those in need. Automatic emotion identification models can quickly and effectively …
View article: Tree-Structured Regional CNN-LSTM Model for Dimensional Sentiment Analysis
Tree-Structured Regional CNN-LSTM Model for Dimensional Sentiment Analysis Open
Dimensional sentiment analysis aims to recognize continuous numerical values in multiple dimensions such as the valence-arousal (VA) space. Compared to the categorical approach that focuses on sentiment classification such as binary classi…
View article: Using an analogical reasoning framework to infer language patterns for negative life events
Using an analogical reasoning framework to infer language patterns for negative life events Open
Our proposed framework is a very simple matching function based on these word representation approaches and is applied to significantly improve HAL model mining performance.
View article: Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis
Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis Open
Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
View article: Data-Driven Behavior-Based Negotiation Model for Cyber-Physical-Social Systems
Data-Driven Behavior-Based Negotiation Model for Cyber-Physical-Social Systems Open
This paper presents an agent-based fuzzy constraint-directed negotiation (AFCN) model for cyber-physical-social systems (CPSS). The proposed AFCN model is a behavior-based negotiation framework, which involves the agents perceive the oppon…
View article: Strengthening Social Networks in Online Discussion Forums to Facilitate Help Seeking for Solving Problems
Strengthening Social Networks in Online Discussion Forums to Facilitate Help Seeking for Solving Problems Open
Help seeking is regarded as an important learning strategy that reflects students’ metacognitive and domain-specific skills and knowledge. This study developed a proactive online discussion forum that strengthens social networks in an onli…
View article: Effect of socioeconomic inequalities on cholecystectomy outcomes: a 10-year population-based analysis
Effect of socioeconomic inequalities on cholecystectomy outcomes: a 10-year population-based analysis Open
Patients with a disadvantaged finance status appeared to be more vulnerable to cholecystectomy surgery. This result suggested that further interventions in the health care system are necessary to reduce this disparity.
View article: A Study of the Effects of Daily Physical Activity on Memory and Attention Capacities in College Students
A Study of the Effects of Daily Physical Activity on Memory and Attention Capacities in College Students Open
This study evaluated the relationship between daily physical activity (DPA) and memory capacity, as well as the association between daily activity and attention capacity, in college students in Taiwan. Participants (mean age = 20.79) wore …
View article: Outcomes in the Utilization of Single Percutaneous Cholecystostomy in a Low-Income Population
Outcomes in the Utilization of Single Percutaneous Cholecystostomy in a Low-Income Population Open
Numerous studies have investigated the applicable populations for percutaneous cholecystostomy (PC) procedures, but the outcomes of PC in low-income populations (LIPs) have been insufficiently studied. Data for 11,184 patients who underwen…
View article: Does the Short-Term Effect of Air Pollution Influence the Incidence of Spontaneous Intracerebral Hemorrhage in Different Patient Groups? Big Data Analysis in Taiwan
Does the Short-Term Effect of Air Pollution Influence the Incidence of Spontaneous Intracerebral Hemorrhage in Different Patient Groups? Big Data Analysis in Taiwan Open
Spontaneous intracerebral hemorrhage (sICH) has a high mortality rate. Research has demonstrated that the occurrence of sICH is related to air pollution. This study used big data analysis to explore the impact of air pollution on the risk …
View article: Differences in Spontaneous Intracerebral Hemorrhage Cases between Urban and Rural Regions of Taiwan: Big Data Analytics of Government Open Data
Differences in Spontaneous Intracerebral Hemorrhage Cases between Urban and Rural Regions of Taiwan: Big Data Analytics of Government Open Data Open
This study evaluated the differences in spontaneous intracerebral hemorrhage (sICH) between rural and urban areas of Taiwan with big data analysis. We used big data analytics and visualization tools to examine government open data, which i…
View article: Outcome comparison between percutaneous cholecystostomy and cholecystectomy: a 10-year population-based analysis
Outcome comparison between percutaneous cholecystostomy and cholecystectomy: a 10-year population-based analysis Open
Patients who underwent PC demonstrated poorer prognoses than did patients who underwent CCS. The role of PC in the Tokyo guidelines may be overstated; it is not as safe as the Tokyo guidelines have suggested in moderate-grade cholecystitis…
View article: Additional file 2: of Identification of natural antimicrobial peptides from bacteria through metagenomic and metatranscriptomic analysis of high-throughput transcriptome data of Taiwanese oolong teas
Additional file 2: of Identification of natural antimicrobial peptides from bacteria through metagenomic and metatranscriptomic analysis of high-throughput transcriptome data of Taiwanese oolong teas Open
The list of operational taxonomic unit at different taxonomy levels. (XLSX 20 kb)
View article: Additional file 4: of Identification of natural antimicrobial peptides from bacteria through metagenomic and metatranscriptomic analysis of high-throughput transcriptome data of Taiwanese oolong teas
Additional file 4: of Identification of natural antimicrobial peptides from bacteria through metagenomic and metatranscriptomic analysis of high-throughput transcriptome data of Taiwanese oolong teas Open
Expression of coding genes in E. coli calculating by RSEM. (XLSX 43 kb)
View article: Additional file 5: of Identification of natural antimicrobial peptides from bacteria through metagenomic and metatranscriptomic analysis of high-throughput transcriptome data of Taiwanese oolong teas
Additional file 5: of Identification of natural antimicrobial peptides from bacteria through metagenomic and metatranscriptomic analysis of high-throughput transcriptome data of Taiwanese oolong teas Open
The results of Gene Ontology enrichment analysis. (XLSX 83 kb)
View article: YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model
YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model Open
The EmoInt-2017 task aims to determine a continuous numerical value representing the intensity to which an emotion is expressed in a tweet. Compared to classification tasks that identify 1 among n emotions for a tweet, the present task can…
View article: Additional file 1: of Identification of natural antimicrobial peptides from bacteria through metagenomic and metatranscriptomic analysis of high-throughput transcriptome data of Taiwanese oolong teas
Additional file 1: of Identification of natural antimicrobial peptides from bacteria through metagenomic and metatranscriptomic analysis of high-throughput transcriptome data of Taiwanese oolong teas Open
All of parameters used for analytic programs in each step. (DOCX 13 kb)
View article: Refining Word Embeddings for Sentiment Analysis
Refining Word Embeddings for Sentiment Analysis Open
Word embeddings that can capture semantic and syntactic information from contexts have been extensively used for various natural language processing tasks. However, existing methods for learning context-based word embeddings typically fail…
View article: UbiNet: an online resource for exploring the functional associations and regulatory networks of protein ubiquitylation
UbiNet: an online resource for exploring the functional associations and regulatory networks of protein ubiquitylation Open
Protein ubiquitylation catalyzed by E3 ubiquitin ligases are crucial in the regulation of many cellular processes. Owing to the high throughput of mass spectrometry-based proteomics, a number of methods have been developed for the experime…
View article: YZU-NLP Team at SemEval-2016 Task 4: Ordinal Sentiment Classification Using a Recurrent Convolutional Network
YZU-NLP Team at SemEval-2016 Task 4: Ordinal Sentiment Classification Using a Recurrent Convolutional Network Open
Sentiment analysis of tweets has attracted considerable attention recently for potential use in commercial and public sector applications.Typical sentiment analysis classifies the sentiment of sentences into several discrete classes (e.g.,…
View article: Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model
Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model Open
Dimensional sentiment analysis aims to recognize continuous numerical values in multiple dimensions such as the valencearousal (VA) space. Compared to the categorical approach that focuses on sentiment classification such as binary classif…