A5002401198- Advanced Multi-Objective Optimization Algorithms
- Optimal Experimental Design Methods
- Probabilistic and Robust Engineering Design
- Antibiotic Resistance in Bacteria
- Vibrio bacteria research studies
- Antibiotic Use and Resistance
- Simulation Techniques and Applications
- Pharmaceutical and Antibiotic Environmental Impacts
- Semantic Web and Ontologies
- Data Mining Algorithms and Applications
- Spectroscopy and Chemometric Analyses
- Enzyme Production and Characterization
- Biofuel production and bioconversion
- Statistical Methods and Bayesian Inference
- Manufacturing Process and Optimization
- Food composition and properties
- Urinary Tract Infections Management
- Traffic Prediction and Management Techniques
- Rough Sets and Fuzzy Logic
- Imbalanced Data Classification Techniques
- Topic Modeling
- Traditional Chinese Medicine Studies
- Antibiotics Pharmacokinetics and Efficacy
- Bacterial biofilms and quorum sensing
- Oil Palm Production and Sustainability
Naresuan University
2013-2023
King Mongkut's Institute of Technology Ladkrabang
2020
Naresuan University Hospital
2013
Centre of Excellence in Mathematics
2011
This study was conducted to investigate the prevalence of and risk factors for colonization acquisition carbapenem-resistant (CR) Gram-negative bacteria (GNB) among patients admitted intensive care units (ICUs) in two tertiary hospitals northern Thailand. Screening rectal swab specimens CR-GNB performed on at ICU admission discharge.
Extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-PE) are important causes of serious infections in intensive care unit (ICU). This study aimed to investigate the risk factors for intestinal carriage ESBL-PE among patients admitted ICU, subsequent infections, and outcomes these patients. prospectively collected rectal swabs from 215 ICU Northern Thailand were isolated. A high prevalence (134/215, 62.3%) at admission was observed, with Escherichia coli representing predominant...
Presently, community-associated carbapenemase-producing Enterobacterales (CPE) remains largely unknown and require public attention. This study aimed to investigate the presence of CPE from outpatients in Thailand. Non-duplicate stool (n = 886) urine 289) samples were collected with diarrhea urinary tract infection, respectively. Demographic data characteristics patients collected. Isolation was performed by plating enrichment culture on agar supplemented meropenem. Carbapenemase genes...
This research focused on the hydrolysis of cassava stems (CS) and subsequent utilization as a carbon source for cultivation isolated Clostridium sp. To yield highest amount reducing sugars (RS), studies pretreatment with sodium hydroxide (NaOH) cellulases, amylases, mixed enzymes were carried out. Afterwards, hydrolysate was utilized Experimental results revealed that CS after 1.0 M NaOH at 121 °C 15 min cellulase (Accellerase® 1500, 2500 CMC U/g CS) obtained 10.94 ± 0.29 g/L RS...
This paper aims to investigate the factors influencing rice yield by considering two main factors; environment and farmer's practice. By using different datasets, first dataset is from Thai Meteorological Department corresponding practice factor. The other 2nd office of Agriculture Economics representing combining these datasets was done applying geographic information technique. construction efficient predictive model developed based on three designed models, one with input variables only,...
A substantial amount of valuable knowledge has been recorded, namely historical documents, in the form unstructured data. The Extraction such information will provide useful knowledge. objective this study, is to propose a relation extraction technique data from Buddhist temple documents Lanna Kingdom, consisting relationships including name kings who built temple, king created or restored site within its grounds and era was built. research process began with collecting located upper...
Currently advancement in computational power leads to study of physical processes through deterministic computer simulated experiments (CSE). Normally CSEs are time consuming and computationally expensive run. Hence a selection proper design run CSE is very important. The space filling designs, like Latin hypercube (LHD) which aim spread the points over region interest commonly used generate output CSE. optimal for given problem obtained using search algorithms with pre-specified optimality...
Count models have been widely used in various fields, such as medicine, biology, and public health.The most frequently count are Poisson regression, negative binomial discrete Weibull regression models.The objective of this study was to compare the performance Poisson, binomial, using two different sets data with over-dispersion.The AIC, BIC, log-likelihood fit statistics were criteria results revealed that best they produced smallest statistics.