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Factors Leading To High Intraocular Pressure In Intraocular Device-Associated Uveitis (Idau): A Nested Case Control Study, Jakkrit Juhong
Factors Leading To High Intraocular Pressure In Intraocular Device-Associated Uveitis (Idau): A Nested Case Control Study, Jakkrit Juhong
Chulalongkorn University Theses and Dissertations (Chula ETD)
Purpose: To describe the clinical pattern of uveitis–glaucoma–hyphaema (UGH) syndrome and to evaluate the risk factors leading to high intraocular pressure among intraocular device-associated uveitis (IDAU) patients using the Chulalongkorn University Uveitis Cohort (CU2C) database. Methods: A retrospective nested case‒control study was conducted in a cohort of 375 subjects who were followed up in a uveitis clinic at King Chulalongkorn Memorial Hospital (KCMH), Bangkok, Thailand, from 2014 to 2022. Thirty subjects with IDAU with increased intraocular pressure (IOP) were included in the case group, and 60 subjects with IDAU without increased intraocular pressure were selected from the CU2C database as …
An Analysis Of Success And Popularity Of Thai Boy Love Series Among Chinese Fan, Yueying Zheng
An Analysis Of Success And Popularity Of Thai Boy Love Series Among Chinese Fan, Yueying Zheng
Chulalongkorn University Theses and Dissertations (Chula ETD)
The Thai Boys Love series has gained popularity since the 2010s, notably in China. Chinese fans have demonstrated their ability to popularize the Thai Boys Love series by translating and reediting the material, as well as by purchasing goods promoted by their favorite celebrities and going to events hosted by the brands. This research aims to examine the success and popularity of the Thai Boys Love series among Chinese fans and to analyze Chinese fandom and fan economy, as well as their economic effect. As a result, this research used a mixed methodology that included textual analysis on the text …
Mediastinal Lymph Node Detection And Segmentation Using Deep Learning, Al-Akhir Nayan
Mediastinal Lymph Node Detection And Segmentation Using Deep Learning, Al-Akhir Nayan
Chulalongkorn University Theses and Dissertations (Chula ETD)
Automatic lymph node (LN) segmentation and detection for cancer staging are critical. In clinical practice, computed tomography (CT) and positron emission tomography (PET) imaging detect abnormal LNs. Despite its low contrast and variety in nodal size and form, LN segmentation remains a challenging task. Deep convolutional neural networks frequently segment items in medical photographs. Most state-of-the-art techniques destroy image's resolution through pooling and convolution. As a result, the models provide unsatisfactory results. Keeping the issues in mind, a well-established deep learning technique UNet++ was modified using bilinear interpolation and total generalized variation (TGV) based upsampling strategy to segment and detect …
Recasnet: Reducing Mismatch Within The Two-Stage Mitosis Detection Framework, Chawan Piansaddhayanon
Recasnet: Reducing Mismatch Within The Two-Stage Mitosis Detection Framework, Chawan Piansaddhayanon
Chulalongkorn University Theses and Dissertations (Chula ETD)
Mitotic count (MC) is an important histological parameter for cancer diagnosis and grading, but the manual process to obtain this metric is tedious and not fully reproducible across different pathologists. To mitigate this problem, several deep learning models have been utilized to speed up the process. Typically, the problem is formulated as a two-stage deep learning pipeline: the detection stage for proposing the potential candidates for mitotic cells and the classification stage for refining prediction confidences from the former stage. However, this paradigm can lead to inconsistencies in the classification stage due to the poor prediction quality of the detection …
Leverage Graph Neural Network For Molecular Properties Prediction, Kamol Punnachaiya
Leverage Graph Neural Network For Molecular Properties Prediction, Kamol Punnachaiya
Chulalongkorn University Theses and Dissertations (Chula ETD)
During the age of deep learning technologies, which have exhibited significant potential in reducing costs and expediting medical development, predicting molecular properties has become a prevalent task that capitalizes on the capabilities of deep learning. This thesis proposed a multimodal Graph Neural Network (GNN) model that utilizes the topology information obtained from molecular graphs through a baseline GNN, facilitating precise property predictions. The thesis improves the baseline CMPNN model by exploring various methods to address potential missing gaps. These methods include incorporating the multimodal module, such as a Bidirectional LSTM module capable of processing text sequences in SMILES format or …
Service Placement Optimization For Location-Based Service, Karnkitti Kittikamron
Service Placement Optimization For Location-Based Service, Karnkitti Kittikamron
Chulalongkorn University Theses and Dissertations (Chula ETD)
Location-based service (LBS) is necessary and useful for several applications including navigation and games. These real-time applications require high accuracy and low delay. In general, the complexity of indoor localization algorithms used in LBS depends on the size of fingerprint data. This can lead to long delays when operating in large-scale areas. In this paper, we propose a novel optimization framework for edge service placement, aiming at minimizing the overall cost of edge computing deployment and service response time. Our placement strategy is used to solve the formulated edge node placement problems. The simulated annealing approach is then used in …
Machine Learning For Wavelet-Based Valve Stiction Detection, Kris Prasopsanti
Machine Learning For Wavelet-Based Valve Stiction Detection, Kris Prasopsanti
Chulalongkorn University Theses and Dissertations (Chula ETD)
Valve stiction presents challenges in industrial process control, leading to oscillations and hindering the regulation of fluid flow. This thesis addresses the detection of valve stiction by exploring the limitations of current methods and proposes a novel approach that combines wavelet reconstruction and convolutional neural networks (CNN) to enhance stiction detection performance. The proposed method utilizes preprocessed process variable versus controller output (PV(OP)) plots as input to the CNN model, capitalizing on the distinctive characteristics of stiction. Training and evaluation employ both simulated and real-world data from the International Stiction Data Base (ISDB), with the F1 score serving as the …
Deep Reinforcement Learning For Electricity Energy Trading, Manassakan Sanayha
Deep Reinforcement Learning For Electricity Energy Trading, Manassakan Sanayha
Chulalongkorn University Theses and Dissertations (Chula ETD)
The deregulation and liberalization of the energy market in the 1990s prompted short-term electricity trading, allowing energy markets to produce net output over a range of time periods as a result of this decentralized system, most commonly minutes to days ahead of time. The energy industry urgently requires a system that has undergone substantial modernization in place to handle a variety of issues, including the current climate, renewable resources, and the energy framework. In this dissertation, we investigate a deep reinforcement learning framework for both wholesale and local energy trading, which probes the challenge of RL to optimize the real-world …
Real-Time Image Classification For Malignant Biliary Strictures On Cholangioscopy Images Based On Deep Learning Approach, Passakron Phuangthongkham
Real-Time Image Classification For Malignant Biliary Strictures On Cholangioscopy Images Based On Deep Learning Approach, Passakron Phuangthongkham
Chulalongkorn University Theses and Dissertations (Chula ETD)
It is challenging to determine if the cause of bile duct strictures is benign or malignant. Currently, endoscopists may more precisely inspect the bile duct thanks to computerized single-operator cholangioscopy. As a result, lesions in the bile duct can be seen with the naked eye. However, endoscopists continue to diagnose patients differently. Consequently, a biopsy is typically regarded as the gold standard. The necessity to repeat operations results from a biopsy sample mistake that results in a false-negative cancer diagnosis. In this study, we suggest a convolutional neural network developed particularly for real-time malignant biliary stricture classification. Our approach, which …
Formal Models For Consent Management In Healthcare Software System Development, Neda Peyrone
Formal Models For Consent Management In Healthcare Software System Development, Neda Peyrone
Chulalongkorn University Theses and Dissertations (Chula ETD)
In the era of data-driven opportunities, many businesses are missing the data-privacy challenge, which leads to risks in safeguarding their customers’ data. To empower individuals (data subjects) to control their data, the General Data Protection Regulation (GDPR) mandated businesses or organizations (data controllers) to protect individuals’ data (personal data) within data protection law. Nevertheless, many businesses still struggle to enhance and develop their software systems to comply with the GDPR because it is difficult to interpret and apply to software development practices. Besides, the processing of personal data begins when the data subject provides explicit consent to the data controller, …
Real-Time Gastric Intestinal Metaplasia Semantic Segmentation With Multiple Abnormalities Using Deep Learning Approach, Passin Pornvoraphat
Real-Time Gastric Intestinal Metaplasia Semantic Segmentation With Multiple Abnormalities Using Deep Learning Approach, Passin Pornvoraphat
Chulalongkorn University Theses and Dissertations (Chula ETD)
This thesis declares the segmentation of gastric intestinal metaplasia (GIM) in real-time. Recently, GIM segmentation of endoscopic images has been conducted to distinguish GIM from a healthy stomach. However, achieving real-time detection is difficult. Challenging conditions include multiple color modes (white light endoscopy and narrow-band imaging), other abnormal lesions (erosion and ulcer), noisy labels, etc. Herein, our model is based on BiSeNet and can overcome the many issues regarding GIM. Applying auxiliary head and loss boosts the performance on multiple color modes. In addition, pre-processing techniques, including location-wise negative sampling, jigsaw augmentation, and label smoothing, are utilized to improve detection …
Multi-Agent Deep Reinforcement Learning For Cryptocurrency Trading, Kittiwin Kumlungmak
Multi-Agent Deep Reinforcement Learning For Cryptocurrency Trading, Kittiwin Kumlungmak
Chulalongkorn University Theses and Dissertations (Chula ETD)
Reinforcement learning has emerged as a promising approach for enhancing profitability in cryptocurrency trading. However, the inherent volatility of the market, especially during bearish periods, poses significant challenges in this domain. Existing literature addresses this issue through the adoption of single-agent techniques such as deep Q-network (DQN), advantage actor-critic (A2C), and proximal policy optimization (PPO), or their ensembles. Despite these efforts, the mechanisms employed to mitigate losses during bearish market conditions within the cryptocurrency context lack robustness. Consequently, the performance of reinforcement learning methods for cryptocurrency trading remains constrained within the current literature. To overcome this limitation, we present a …
Corporate Credit Rating Prediction Using Deep Learning, Napasorn Thavichaigarn
Corporate Credit Rating Prediction Using Deep Learning, Napasorn Thavichaigarn
Chulalongkorn University Theses and Dissertations (Chula ETD)
Corporate credit rating has an important role in reducing asymmetric information between investors and borrowers and assisting investors as a signal of the entities’ performance and creditworthiness for making appropriate investment decisions in a company’s assets. The economic distress has negatively affected various businesses and resulted in company rating transitions. This led to a problem in adjusting investment strategy and a serious loss as there is a lack of time between officially announced credit rating transitions and real transition. This study provides alternative methods for credit rating prediction by applying machine learning models; Support Vector Machine (SVM), Linear Regression, and …
Photochemical Reaction Of Renieramycins And Evaluation Of Cytotoxicity Against Lung Cancer Cells, Suwimon Sinsook
Photochemical Reaction Of Renieramycins And Evaluation Of Cytotoxicity Against Lung Cancer Cells, Suwimon Sinsook
Chulalongkorn University Theses and Dissertations (Chula ETD)
Lung cancer causes more deaths than any other type of cancers, with the majority of patients diagnosed with non-small cell lung cancer (NSCLC). Lung cancer is a difficult disease to treat because of the drug resistant problem. Therefore, there is an immediate need for effective, safe, and easily accessible anti-lung cancer drug. Ecteinascidin 743 (Trabectedin or Yondelis®), a marine-derived tetrahydroisoquinoline alkaloid, is an approved drug for treating human lung cancer. This research was studied on the semi-syntheses of new renieramycins derivatives with similar structures to above drug for discovery and development of potent NSCLC cytotoxic agents. Renieramycins was extracted from …
Anti-Inflammatory Compounds In Human Peripheral Blood Mononuclear Cells From Dendrobium Species, Virunh Kongkatitham
Anti-Inflammatory Compounds In Human Peripheral Blood Mononuclear Cells From Dendrobium Species, Virunh Kongkatitham
Chulalongkorn University Theses and Dissertations (Chula ETD)
In these studies, four new compounds including three phenanthrene derivatives (dendrocrumenols A, B and D) and one fluorenone (dendrocrumenol C) and four known compounds including gigantol, 3,7-dihydroxy-2,4,8-trimethoxyphenanthrene, densiflorol B and cypripedin were isolated from Dendrobium crumenatum Sw. Each structure of isolated compounds from D. crumenatum was elucidated by spectroscopic data. These isolated compounds were then evaluated for anti-inflammatory effects in human peripheral blood mononuclear cells (PBMCs). Among the tested compounds, dendrocrumenols B and D showed the most promising anti-inflammatory effects through inhibition of tumor necrosis factor tumor (TNF) and interleukin-2 (IL-2) in monocytes and T cells. The deep immune profiling …
Titania Nanosheets Induce Anticancer Activityin Human Non-Small Cell Lung Cancer Cells, Rapeepun Soonnarong
Titania Nanosheets Induce Anticancer Activityin Human Non-Small Cell Lung Cancer Cells, Rapeepun Soonnarong
Chulalongkorn University Theses and Dissertations (Chula ETD)
Metal nanomaterials can enhance the efficacy of current cancer therapies. Here, we show that Ti0.8O2 nanosheets cause cytotoxicity in several lung cancer cells but not in normal cells. The nanosheet-treated cells showed certain apoptosis characteristics. Protein analysis further indicated the activation of the p53-dependent death mechanism. Transmission electron microscopy (TEM) and scanning electron microscopy (SEM) analyses revealed the cellular uptake of the nanosheets and the induction of cell morphological change. Ti0.8O2 nanosheets induce apoptosis through a molecular mechanism involving peroxynitrite (ONOO−) generation. As peroxynitrite is known to be a potent inducer of S-nitrosylation, we further found that the nanosheets mediated …
Chemical Constituents And Nitric Oxide Inhibitory Activity Of Capparis Micracantha And Maerua Siamensis, Sasiwimon Nukulkit
Chemical Constituents And Nitric Oxide Inhibitory Activity Of Capparis Micracantha And Maerua Siamensis, Sasiwimon Nukulkit
Chulalongkorn University Theses and Dissertations (Chula ETD)
The chemical investigation of two plants in Capparaceae family, which are Capparis micracantha and Maerua siamensis, leads to the isolation of 13 compounds. The structures of the isolates were elucidated using spectroscopy techniques and comparison of the previous reports. Of five known compounds from the stems of C. micracantha were an indole alkaloid (methyl 6-methoxy-3-indolecarbonate), a benzoic acid derivative (vanillic acid), a lignan [(−)-syringaresinol], and two stilbene dimers [(+)-ampelopsin A and (−)-pauciflorol E]. In addition, eight new indole alkaloids named (+)-maeruanitrile A, maeruanitrile B, maeroximes A-C and maeruabisindoles A-C were isolated from the roots of M. siamensis,. All isolates were …
Neuroprotective Effect Of Intranasal Delivery Of Asiatic Acid Against Amyloid Beta1-42-Induced Alzheimer's Disease In Mice, Ridho Islamie
Neuroprotective Effect Of Intranasal Delivery Of Asiatic Acid Against Amyloid Beta1-42-Induced Alzheimer's Disease In Mice, Ridho Islamie
Chulalongkorn University Theses and Dissertations (Chula ETD)
Asiatic acid (AA) is an active natural compound that can be derived from Centella asiatica extract. Several pharmacological studies were reported that AA has potential as neuroprotector in the central nervous system disorders. AA penetration in the brain was limited due to its low bioavailability. Nasal delivery system of solid lipid nanoparticles (SLNs) loaded-AA was developed to increase AA penetration in the brain. The current study aimed to investigate neuroprotective effect and protective mechanisms of AA in SLNs by nasal-to-brain delivery technique against Aβ1–42 induced memory impairment by in vivo study. Male ICR mice were divided into six groups (n=11-12/group); …
Prevalence Of Musculoskeletal Disorders And Ergonomic Risk Factors Among Firefighters, Hamza Farooq
Prevalence Of Musculoskeletal Disorders And Ergonomic Risk Factors Among Firefighters, Hamza Farooq
Chulalongkorn University Theses and Dissertations (Chula ETD)
Background: Injury to the musculoskeletal system or the human body's ability to move is known as a musculoskeletal disorder (i.e. muscles, tendons, ligaments, nerves, discs, blood vessels, etc.). Firefighting is a physically hard and dangerous job. Firefighters carry out emergencies and prevent fire and respond to disaster. Workers who deal with fireworks often have musculoskeletal disorders. Objective: To investigated the prevalence of musculoskeletal disorders and ergonomic risk factors among firefighters. Methodology: Nordic musculoskeletal questionnaire was used to report musculoskeletal disorders in 106 firefighters and quick exposure check (QEC) questionnaire was used in 20 firefighters for 3 different tasks to evaluated …
Effects Of Lower Extremity Muscle Strengthening Exercise And Foot Orthoseson Medial Longitudinal Arch Height In Individuals With Flexible Flatfoot, Phoomchai Engkananuwat
Effects Of Lower Extremity Muscle Strengthening Exercise And Foot Orthoseson Medial Longitudinal Arch Height In Individuals With Flexible Flatfoot, Phoomchai Engkananuwat
Chulalongkorn University Theses and Dissertations (Chula ETD)
Background: Foot orthoses and lower extremity exercises have been widely recommended to improve medial longitudinal arch (MLA) height in adults with flexible flatfoot. However, there is little evidence to guide the choice between foot orthoses or lower extremity exercises. Objectives: This study comprised two separate studies. Study 1 aimed to establish the more effective exercise protocol by comparing the MLA height in groups performing foot exercises with and without gluteus medius (GMed) muscle strengthening exercise. Study 2 compared the established exercise protocol in Study 1 with foot orthoses to determine the actual effectiveness of each intervention. Main outcome measures: Navicular …
The Effect Of Breathing Training Program Using A Toy Blower On Lung Function, Respiratory Muscles Strength, And Functional Capacity In People With Obesity Level 2, Sarawut Jansang
Chulalongkorn University Theses and Dissertations (Chula ETD)
Obesity level 2 has major implications on the respiratory system, particularly the impact of breathing exercises on lung function, which may now be trained employing a variety of breathing exercises and equipment. Therefore, researcher was interested in applying inflatable toys to be applied along with breathing patterns in people with obesity level 2 between the ages of 30 and 65, which affected lung function, respiratory muscle strength and physical activity in way of life. Therefore, the researcher aimed to study the effects of a breathing training program using a toy blower device on breathing performance and respiratory muscle strength. The …
Mathematical Modeling Of The Mechanical Response Of Coupled Inner-Ear Hair Cells With Opposite Polarity, Tanawat Ngampattrapan
Mathematical Modeling Of The Mechanical Response Of Coupled Inner-Ear Hair Cells With Opposite Polarity, Tanawat Ngampattrapan
Chulalongkorn University Theses and Dissertations (Chula ETD)
Hair cells are specialized receptors that detect mechanical forces in the auditory and vestibular systems of vertebrates. In vivo hair-cell bundles are typically anchored to an overlying structure which provides mechanical coupling between neighboring hair cells. Cooperativity between hair bundles has been previously proposed to have strong effects on signal detection. While the coupling of hair cells with the same polarity as those in the auditory organs has been extensively studied, the dynamics of hair cells with opposite polarity in the vestibular system and the inner ear of lizards remain unexplored. In this study, we aim to investigate the dynamics …
Effects Of Lipopolysaccharide On Mandibular And Tibial Bone Regenerationin A Murine Model Of Sle Induced By Fcγriib Deficiency, Sirikanda Jantaboon
Effects Of Lipopolysaccharide On Mandibular And Tibial Bone Regenerationin A Murine Model Of Sle Induced By Fcγriib Deficiency, Sirikanda Jantaboon
Chulalongkorn University Theses and Dissertations (Chula ETD)
Although systemic lupus erythematosus (SLE) is known as the autoimmune disease that triggers inflammation and bone impairment, the mechanisms leading to the decrease in bone regeneration remain inadequately characterized. Patients with SLE have been observed high prevalence in bone loss due to host immune responses that may induce host antimicrobial activities. Here, this study used systemic and local lipopolysaccharide (LPS) administration for mimicking infectious condition in FcγRIIB−/− mice as a lupus murine model. The results showed FcγRIIB lacking FcγRIIB−/− in mice with local and systemic LPS led to decreased cancellous bone volume in their drilled hole region of tibial and …
Comparison Of Compressive Strength Between Two Mini Implants :An In Vitro Study, Anchisa Weerasubpong
Comparison Of Compressive Strength Between Two Mini Implants :An In Vitro Study, Anchisa Weerasubpong
Chulalongkorn University Theses and Dissertations (Chula ETD)
Objective: To observe and evaluate the difference in static and dynamic loadings between two mini-implant systems (RetenDent and MS denture® system, OSSTEM). Materials and Methods: Fifty mini-implant from two companies were included in the study. The compressive force was applied to the mini-implants at 30 degrees from its vertical axis. Ten specimens from each group were subjected to static load tests. Subsequently, five cyclic loadings were calculated from static compressive strength. These loads include 320N, 275N, 230N, 185N, and 140N. Three specimens from each group were randomly selected and tested at each loading condition. The Independent T- test was utilized …
Influence Of Cad/Cam Materials On Damping Behavior Of Implant-Supported Crown, Charnikan Sukkasam
Influence Of Cad/Cam Materials On Damping Behavior Of Implant-Supported Crown, Charnikan Sukkasam
Chulalongkorn University Theses and Dissertations (Chula ETD)
This study was to investigate the damping capacity of implant-supported crowns made from various computer-aided design and computer-aided manufacturing (CAD-CAM) restorative materials. A titanium implant fixture was embedded in epoxy resin. Crown specimens were divided into three groups: Zirconia (Z), Lithium disilicate (E), and Polymethyl methacrylate (P). Each crown was subdivided into Uncement (Un) and Adhesive resin cement (RC) subgroups (n=5). Specimens were loaded (0-200N). Strain gauges were attached to measure microstrains at crestal and apical levels. Damping capacity was determined based on load-time curves, microstrain-time curves, and time required to reach the maximum load. A two-way ANOVA with Tukey …
The Novel Cyanoacrylate Based Fluoride Varnish, Narongrit Larpbunphol
The Novel Cyanoacrylate Based Fluoride Varnish, Narongrit Larpbunphol
Chulalongkorn University Theses and Dissertations (Chula ETD)
The important factors contributing to the effectiveness of fluoride varnish are the amount of fluoride ion release and the retention time of the varnish on the tooth surface. Commercial fluoride varnishes are susceptible to mechanical removal; therefore, patients are informed to avoid eating for a few hours and refrain from tooth brushing for 12–24 h, which results in patient inconvenience. However, the novel cyanoacrylate based fluoride varnish would not have these disadvantages. This study compared the daily fluoride ion release, abrasion resistance to brushing, and toxicity to human gingival fibroblasts (hGFs) between a newly-developed cyanoacrylate based fluoride varnish and Duraphat …
Effects Of Academic Burnout On Study Engagement As Moderated By Resilience And Social Support: A Longitudinal Study, Suchada Ruengesri
Effects Of Academic Burnout On Study Engagement As Moderated By Resilience And Social Support: A Longitudinal Study, Suchada Ruengesri
Chulalongkorn University Theses and Dissertations (Chula ETD)
The purpose of this study was to examine the correlations between academic burnout, study engagement, resilience, and social support in the Thai education context. The study also aimed to investigate the effect of academic burnout on study engagement, moderated by resilience and social support after the transition from online learning to on-site learning due to the COVID-19 pandemic. Additionally, the study aimed to explore the effects of different types of social support on academic burnout, study engagement, and resilience. The current study included two data gathering occasions for hypothesis testing. The participants were undergraduate students aged between 18 to 25 …
Effects Of Extraversion Personality Compatibility And The Michelangelo Phenomenon Via Facebook On Marital Satisfaction, Wanthip Chawaleemaporn
Effects Of Extraversion Personality Compatibility And The Michelangelo Phenomenon Via Facebook On Marital Satisfaction, Wanthip Chawaleemaporn
Chulalongkorn University Theses and Dissertations (Chula ETD)
Divorce rates in newlywed couples has been rising dramatically globally, particularly Thailand. Young adults who strive for success often seek romantic relationships that promote their personal growth in order to thrive. The Michelangelo phenomenon is a psychological concept which explains how romantic relationships facilitate each other’s goal pursuit via partner affirmation. This research explores the dyadic influence of the similarity effects of the Big Five’s extraversion trait and marital satisfaction mediated by the Michelangelo phenomenon via Facebook in Thai newlyweds who have been married less than 5 years. 70 dyads were collected in two waves with a 6 month interval. …
Association Between Medical Insurance Choices And Healthcare Utilization Among Diabetes Patients In The People's Republic Of China : A Secondary Data Analysis, Duohui Chen
Chulalongkorn University Theses and Dissertations (Chula ETD)
Since 2018, the universal medical insurance coverage rate has reached 95% in China. Due to the lack of medical and health resources and insufficient health service capacity of primary health care facilities in China, the biggest problem with the health system in China is overcrowding, especially in the utilization of outpatient services in secondary and tertiary hospitals. This study aimed to analyze the factors Association between Medical insurance Choices and healthcare Utilization among diabetes patients among patients of age >45 years in China. The logistic regression was used to assess the association between type of hospital of elder diabetic patients …
Human Health Risk Assessment Of Heavy Metals In Roadside Dust Near Hydropower Dams Construction Areas In Wangduephodrang District Of Bhutan, Kinley Dorjee
Chulalongkorn University Theses and Dissertations (Chula ETD)
The concern over the heavy metal laden dust and its impact on human health has gained global importance over the decade. Exposure to roadside dust is associated with various acute and chronic health issues. Bhutan too is battling environmental health issues due to increasing anthropogenic and developmental activities such as hydropower dam construction. This study analyses the heavy metals concentrations in roadside dust near hydropower dam construction areas and assesses the noncancer and cancer risk of exposure to heavy metals laden dust through inhalation. This study was a cross sectional study. The roadside dust samples near hydropower dam construction in …