Digital Commons Network^™

Stability Of A Discrete-Time Infected-Aged Epidemic Model, Patchara Ploypetch

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this thesis, we consider a discrete-time infected-aged SIS epidemic model. The model is obtained from a continuous-time SIS epidemic model by applying Micken’s nonstandard finite difference method. We derive some basic properties of solutions including the boundedness and positivity of solutions. Furthermore, we obtain two parameters R0 and R∞ so that if R0 < 1 then the infection becomes extinct whereas if R∞ > 1 the the infection becomes permanent.

Developing Test Statistics For Familial Dna Searches Through Classification Ideas, Chanagarn Laoiam

Chulalongkorn University Theses and Dissertations (Chula ETD)

In a familial DNA search, the test statistic used for concluding a relationship is the likelihood ratio. In the traditional way, it is assumed that all individuals have the same genetic background ; however, population substructure typically exists and allele frequencies differ among subpopulations. To address this issue, a number of modified likelihood ratio statistics have been proposed. One is to apply the likelihood ratio framework to the average available allele frequencies (LRLAF). Another well-known three statistics are taking the maximum, minimum and average of all available likelihood ratios (LRMAX, LRMIN or LRAVG, respectively). In this thesis, two new likelihood …

Classification Of Metal Hydride Superconductors Using Machine Learning, Vichayuth Imchitr

Chulalongkorn University Theses and Dissertations (Chula ETD)

Metal hydrides are currently the main approach in the quest for high-temperature superconductors, as they exhibit a wide range of superconducting critical temperatures (TC). The key ingredient for determining the superconducting critical temperature is the phonon in the material. However, calculating the phonon via the first-principle method requires high computational costs and is time-consuming. To expedite the search for new superconducting hydrides, machine learning has been applied to scan for potential high-TC materials before performing phonon calculations. However, this method has limitations due to the limited number of available training samples, and the selection of input features for the task …

Thermodynamic Stability Prediction Of Multi-Transition-Metal Mxenes, Chayanon Atthapak

Chulalongkorn University Theses and Dissertations (Chula ETD)

Over the past decade, the largest group of two-dimensional alloys like transition metal carbides/nitrides (MXenes), have attracted a lot of attention in the material science community due to their alloying behaviors and their wide range of applications. However, the phase stability of multi-transition-metal MXenes has so far barely been validated. For this reason, examinations of the stability of multi-transition-metal MXenes from the theoretical aspect are highly of importance for future experimental synthesis and characterization of the materials. In this work, the proponent aims at investigating the thermodynamic stability of (Mo-Ti-V)3C2 MXenes, by performing computational simulations based on density functional theory …

Thermal Conductivity Studies Of Nitrogen Subsituted Single-Layered Diamond Using Density Functional Theory Simulation, Sakarn Khamkaeo

Chulalongkorn University Theses and Dissertations (Chula ETD)

Recently, a promising two-dimensional material known as single-layered diamond or diamane has emerged, combining the interesting properties of bulk diamond with the exceptional thermal conductivity characteristic of two-dimensional materials. However, diamane’s stability requires high pressure unless its surfaces are passivated, for example, hydrogen or fluorine. Later, N-substituted diamane has been introduced as a solution, providing both stability and fascinating hardness properties. This thesis investigates the thermal properties of nitrogen-containing diamane using computational simulations with the density functional theory and the Boltzmann transport equation. The results show the out-of-plane vibration mode of N-substituted diamane, along with the calculated thermal conductivity with …

Synthesis And Biological Activities Of Acyl Derivatives Of Hydroxylated Eudesmanolides, Rawinnipha Wettayanugul

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research focused on the synthesis of two hydroxylated eudesmanolides, reynosin (RNS, 2) and santamarine (STM, 3) from costunolide (1) isolated from Saussurea lappa roots, and the synthesis of their acyl derivatives to study on their biological activities. A total of 20 acyl derivatives of hydroxylated eudesmanolides, including 14 new compounds: 2(a-c), 3b, 3c, 3e, 3f, 3(h-j), and 3(l-o). The compounds were then evaluated for their anti-melanogenic, anti-colorectal cancer, and anti-inflammatory activities. It was observed that STM (3) exhibited anti-melanogenic and anti-colorectal cancer activity with IC50 values of 8.02 and 15.55 µM, respectively, which was greater than RNS (2) (IC50 …

Naturally Derived Polymeric Gel For Bio-Catalysis And Wound Dressing, Yuwaporn Pinyakit

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this thesis, two types of polymeric gels made from naturally derived polymers have been developed for bio-catalysis and wound dressing applications. In the first part, the heterogeneous biocatalyst with tunable geometry was fabricated using a 3D printing technique. The hydrogel-based ink as a supporting material for the immobilization of laccase was prepared from alginate (Alg) combined with Pluronic® F127-dimethacrylate (F127-DMA). Chemically crosslinked F127-DMA hydrogel with an optimized Alg composition exhibited good water swelling, mass transfer, and mechanical stability. To enhance the interaction between substrate and enzyme, the printed constructs with various surface-to-volume ratio (S/V) and geometrical designs (cubic, cylinder, …

Characteristics Of Mononucleotide A-Repeats Around Transcription Start Sites In Vertebrates, Jatuphol Pholtaisong

Chulalongkorn University Theses and Dissertations (Chula ETD)

Tandem repeats (TRs) promote a wide variety of phenotypic traits. The imbalance of mononucleotide A-repeats around transcription start sites (TSSs) in human, mouse and rat in previous study. In this study, the imbalance of A-repeats in 60 vertebrates was investigated, and the potential function of upstream A-repeats was identified. We discovered that some vertebrates were the origin of the imbalance pattern. Mammals and birds had a similar pattern, while amphibians and reptiles did not. We hypothesized that the enriched A-repeats upstream of TSSs is a novel hallmark of endotherms or warm-blooded animals. Gene ontology analysis indicates that the primary function …

Water Quality Prediction On Bang Pakong River Under Climate Change Using Data-Driven Models., Phuoc Thanh Ho

Chulalongkorn University Theses and Dissertations (Chula ETD)

The Bang Pakong River, Chachoengsao Province, Thailand, is one of the most important rivers in the eastern part of Thailand due to its primary role in water supplies. However, the deterioration in the quality of the BPKR is critical due to anthropogenic activities and climate change since the 2000s. Therefore, the study aimed to establish ARMAX and MLP-ANN models to forecast some water quality parameters in the near future and predict general water quality indexes of the river, supported by correlation analysis between water quality parameters with climate and land use. The analysis results revealed that when agricultural land decreased …

ผลของการบริบาลทางเภสัชกรรมโดยใช้แบบสอบถาม Prompt ในผู้ป่วยโรคไตเรื้อรัง, ปภาวี วันเพ็ญ

Chulalongkorn University Theses and Dissertations (Chula ETD)

วัตถุประสงค์: ประเมินผลคุณภาพชีวิตด้านการใช้ยา คุณภาพชีวิตด้านสุขภาพ จำนวนปัญหาจากการใช้ยาและผลลัพธ์ทางคลินิกของการแก้ไขปัญหาจากการใช้ยา รวมถึงสัดส่วนผู้ป่วยที่ได้รับการแก้ไขปัญหาจากการใช้ยาในผู้ป่วยโรคไตเรื้อรังที่ไม่ได้บำบัดทดแทนไตที่ได้รับการบริบาลทางเภสัชกรรมโดยใช้แบบสอบถาม PROMPT เปรียบเทียบกับกลุ่มที่ได้รับการบริการตามมาตรฐานปกติของโรงพยาบาล วิธีการวิจัย: การวิจัยเชิงทดลองหลายศูนย์แบบสุ่มชนิดมีกลุ่มควบคุมแบบปกปิดทางเดียว ศึกษาในผู้ป่วยโรคไตเรื้อรังที่ไม่ได้บำบัดทดแทนไตที่เข้ารับบริการในโรงพยาบาลสองพี่น้องและโรงพยาบาลท่าใหม่ จังหวัดจันทบุรี ระหว่างเดือนพฤศจิกายน 2564 ถึงเดือนสิงหาคม 2565 จำนวนทั้งสิ้น 292 คน โดยจัดสรรผู้ป่วยเป็น 2 กลุ่ม คือ กลุ่มศึกษา (กลุ่มที่ได้รับการบริบาลทางเภสัชกรรมโดยใช้แบบสอบถาม PROMPT และกลุ่มควบคุม (กลุ่มที่ได้รับการบริการตามมาตรฐานปกติของโรงพยาบาล) ประเมินผลคุณภาพชีวิตด้านการใช้ยาและคุณภาพชีวิตด้านสุขภาพของผู้ป่วยด้วยแบบสอบถาม PROMPT และแบบสอบถาม KDQOL ตามลำดับ ผลการวิจัย: กลุ่มศึกษามีผลคะแนนคุณภาพชีวิตด้านการใช้ยาดีขึ้นอย่างมีนัยสำคัญทางสถิติจำนวน 3 มิติจาก 8 มิติเมื่อเทียบกับกลุ่มควบคุม ได้แก่ มิติการได้รับข้อมูลยาและโรคจากบุคลากรทางการแพทย์ (p < 0.001) มิติความพึงพอใจต่อผลการใช้ยา (p = 0.003) และมิติคุณภาพชีวิตโดยรวมของการใช้ยา (p = 0.018) รวมถึงผลคะแนนรวมของแบบสอบถามคุณภาพชีวิตด้านการใช้ยา (p < 0.001) สำหรับผลคุณภาพชีวิตด้านสุขภาพระหว่างผู้ป่วยทั้งสองกลุ่มพบความแตกต่างอย่างมีนัยสำคัญทางสถิติจำนวน 2 มิติจาก 10 มิติ ได้แก่ มิติความยากลำบากจากโรคไต (p = 0.045) และการให้คะแนนสุขภาพโดยรวม (p = 0.011) นอกจากนี้กลุ่มศึกษาค้นพบปัญหาจากการใช้ยามากกว่าและมีผลลัพธ์ทางคลินิกโดยรวมของการแก้ไขปัญหาจากการใช้ยาที่มีผลดีขึ้นมากกว่ากลุ่มควบคุมอย่างมีนัยสำคัญทางสถิติ (p < 0.001 และ p = 0.013 ตามลำดับ) แต่สัดส่วนผู้ป่วยที่ได้รับการแก้ไขปัญหาจากการใช้ยาและมีผลดีขึ้นไม่พบความแตกต่างอย่างมีนัยสำคัญทางสถิติระหว่างผู้ป่วยทั้งสองกลุ่ม (p = 0.329) สรุปผลการวิจัย: การบริบาลทางเภสัชกรรมโดยใช้แบบสอบถาม PROMPT ส่งผลให้ผู้ป่วยมีคุณภาพชีวิตด้านการใช้ยาดีขึ้น ค้นพบปัญหาจากการใช้ยาได้เพิ่มมากขึ้น และผลลัพธ์ทางคลินิกโดยรวมของปัญหาจากการใช้ยาที่ได้รับการแก้ไขและมีผลดีขึ้นในผู้ป่วยโรคไตเรื้อรังที่ไม่ได้บำบัดทดแทนไตเพิ่มมากขึ้น แม้ว่าผลคุณภาพชีวิตด้านสุขภาพและสัดส่วนผู้ป่วยที่ได้รับการแก้ไขปัญหาจากการใช้ยาและมีผลดีขึ้นจะมีผลลัพธ์ที่ยังไม่ชัดเจน

Phenotype-Genotype Analysis Of Caucasian Patients With High Risk Of Osteoarthritis, Yanfei Wang, Jacqueline Chyr, Pora Kim, Weiling Zhao, Xiaobo Zhou

Faculty, Staff and Student Publications

Background: Osteoarthritis (OA) is a common cause of disability and pain around the world. Epidemiologic studies of family history have revealed evidence of genetic influence on OA. Although many efforts have been devoted to exploring genetic biomarkers, the mechanism behind this complex disease remains unclear. The identified genetic risk variants only explain a small proportion of the disease phenotype. Traditional genome-wide association study (GWAS) focuses on radiographic evidence of OA and excludes sex chromosome information in the analysis. However, gender differences in OA are multifactorial, with a higher frequency in women, indicating that the chromosome X plays an essential role …

Automated Identification Of Missing Is-A Relations In The Human Phenotype Ontology, Maryamsadat Mohtashamian, Ran Hu, Rashmie Abeysinghe, Xubing Hao, Hua Xu, Licong Cui

Faculty, Staff and Student Publications

Auditing the Human Phenotype Ontology (HPO) is necessary to provide accurate terminology for its use in clinical research. We investigate an approach leveraging the lexical features of concepts in HPO to identify missing IS-A relations among HPO concepts. We first model the names of HPO concepts as sets of words in lower case. Then, we generate two types of concept-pairs which have at least a single common word: (1) Linked concept-pairs generated from concept-pairs having an IS-A relation; (2) Unlinked concept-pairs generated from concept-pairs without an IS- A relation. Concept-pairs generate Derived Term Pairs (DTPs) emphasizing unique lexical information of …

Cost Of Care For Asylum Seekers And Refugees Entering The United States: The Case Of Volunteer Medical Providers In El Paso, Texas, Rigoberto I Delgado, Manuel De La Rosa, Marlon A Picado, Lisa Ayoub-Rodriguez, Celia E Gonzalez, Leopold Gemoets

Faculty, Staff and Student Publications

BACKGROUND: Between October 2018, and February 2020, the United States saw an unprecedented increase in the number of asylum seekers and refugees arriving unexpectedly at international crossings along the US-Mexico Border. Many of these migrants needed proper medical attention, and consequently created significant pressure on local health systems. In El Paso, Texas, volunteer clinicians, collaborating closely with religious organizations and non-governmental organizations, provided outpatient medical care for the new arrivals; the county hospital provided in-patient care at local tax payers' expense. The objective of this study was to estimate costs of healthcare services offered by these volunteers in order to …

A Nomogram For Predicting Upper Urinary Tract Damage Risk In Children With Neurogenic Bladder, Qi Li, Miao Cai, Qingsong Pu, Shengde Wu, Xing Liu, Tao Lin, Dawei He, Jianguo Wen, Guanghui Wei

Faculty, Staff and Student Publications

PURPOSE: To establish a predictive model for upper urinary tract damage (UUTD) in children with neurogenic bladder (NB) and verify its efficacy.

METHODS: A retrospective study was conducted that consisted of a training cohort with 167 NB patients and a validation cohort with 100 NB children. The clinical data of the two groups were compared first, and then univariate and multivariate logistic regression analyses were performed on the training cohort to identify predictors and develop the nomogram. The accuracy and clinical usefulness of the nomogram were verified by receiver operating characteristic (ROC) curve, calibration curve and decision curve analyses.

RESULTS: …

Writing Into Hope: Laughter, Sadness And Healing In John Gower's Confessio Amantis, Natalie S. Grinnell

Faculty Scholarship

This article uses the theory of the narrative creation of the self to contend that the Confessio Amantis creates a space for narrative healing within the acknowledgement of mortality. Rather than being traditionally funny or ending in amorous or military victory, Gower’s poem uses the encyclopedia knowledge of the interpolated tales to establish a healing narrative in the face of failure and loss.

Racial And Socioeconomic Disparities In Patients With Meningioma: A Retrospective Cohort Study, Hudin N Jackson, Caroline C Hadley, A Basit Khan, Ron Gadot, James C Bayley, Arya Shetty, Jacob Mandel, Ali Jalali, K Kelly Gallagher, Alex D Sweeney, Arif O Harmanci, Akdes S Harmanci, Tiemo Klisch, Shankar P Gopinath, Ganesh Rao, Daniel Yoshor, Akash J Patel

Faculty, Staff and Student Publications

BACKGROUND: Meningiomas are the most common intracranial neoplasms. Although genomic analysis has helped elucidate differences in survival, there is evidence that racial disparities may influence outcomes. African Americans have a higher incidence of meningiomas and poorer survival outcomes. The etiology of these disparities remains unclear, but may include a combination of pathophysiology and other factors.

OBJECTIVE: To determine factors that contribute to different clinical outcomes in racial populations.

METHODS: We retrospectively reviewed 305 patients who underwent resection for meningiomas at a single tertiary care facility. We used descriptive statistics and univariate, multivariable, and Kaplan-Meier analyses to study clinical, radiographical, and …

Risk Of Alzheimer's Disease Following Influenza Vaccination: A Claims-Based Cohort Study Using Propensity Score Matching, Avram S Bukhbinder, Yaobin Ling, Omar Hasan, Xiaoqian Jiang, Yejin Kim, Kamal N Phelps, Rosemarie E Schmandt, Albert Amran, Ryan Coburn, Srivathsan Ramesh, Qian Xiao, Paul E Schulz

Faculty, Staff and Student Publications

BACKGROUND: Prior studies have found a reduced risk of dementia of any etiology following influenza vaccination in selected populations, including veterans and patients with serious chronic health conditions. However, the effect of influenza vaccination on Alzheimer's disease (AD) risk in a general cohort of older US adults has not been characterized.

OBJECTIVE: To compare the risk of incident AD between patients with and without prior influenza vaccination in a large US claims database.

METHODS: Deidentified claims data spanning September 1, 2009 through August 31, 2019 were used. Eligible patients were free of dementia during the 6-year look-back period and≥65 years …

Fairly Predicting Graft Failure In Liver Transplant For Organ Assigning, Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu

Faculty, Staff and Student Publications

Liver transplant is an essential therapy performed for severe liver diseases. The fact of scarce liver resources makes the organ assigning crucial. Model for End-stage Liver Disease (MELD) score is a widely adopted criterion when making organ distribution decisions. However, it ignores post-transplant outcomes and organ/donor features. These limitations motivate the emergence of machine learning (ML) models. Unfortunately, ML models could be unfair and trigger bias against certain groups of people. To tackle this problem, this work proposes a fair machine learning framework targeting graft failure prediction in liver transplant. Specifically, knowledge distillation is employed to handle dense and sparse …

Facilitating Federated Genomic Data Analysis By Identifying Record Correlations While Ensuring Privacy, Leonard Dervishi, Xinyue Wang, Wentao Li, Anisa Halimi, Jaideep Vaidya, Xiaoqian Jiang, Erman Ayday

Faculty, Staff and Student Publications

With the reduction of sequencing costs and the pervasiveness of computing devices, genomic data collection is continually growing. However, data collection is highly fragmented and the data is still siloed across different repositories. Analyzing all of this data would be transformative for genomics research. However, the data is sensitive, and therefore cannot be easily centralized. Furthermore, there may be correlations in the data, which if not detected, can impact the analysis. In this paper, we take the first step towards identifying correlated records across multiple data repositories in a privacy-preserving manner. The proposed framework, based on random shuffling, synthetic record …

Caries Risk Documentation And Prevention: Emeasures For Dental Electronic Health Records, Suhasini Bangar, Ana Neumann, Joel M White, Alfa Yansane, Todd R Johnson, Gregory W Olson, Shwetha V Kumar, Krishna K Kookal, Aram Kim, Enihomo Obadan-Udoh, Elizabeth Mertz, Kristen Simmons, Joanna Mullins, Ryan Brandon, Muhammad F Walji, Elsbeth Kalenderian

Faculty, Staff and Student Publications

BACKGROUND: Longitudinal patient level data available in the electronic health record (EHR) allows for the development, implementation, and validations of dental quality measures (eMeasures).

OBJECTIVE: We report the feasibility and validity of implementing two eMeasures. The eMeasures determined the proportion of patients receiving a caries risk assessment (eCRA) and corresponding appropriate risk-based preventative treatments for patients at elevated risk of caries (appropriateness of care [eAoC]) in two academic institutions and one accountable care organization, in the 2019 reporting year.

METHODS: Both eMeasures define the numerator and denominator beginning at the patient level, populations' specifications, and validated the automated queries. For …

Enhancing Diagnosis Through Technology: Decision Support, Artificial Intelligence, And Beyond, Robert El-Kareh, Dean F Sittig

Faculty, Staff and Student Publications

Patient care in intensive care environments is complex, time-sensitive, and data-rich, factors that make these settings particularly well-suited to clinical decision support (CDS). A wide range of CDS interventions have been used in intensive care unit environments. The field needs well-designed studies to identify the most effective CDS approaches. Evolving artificial intelligence and machine learning models may reduce information-overload and enable teams to take better advantage of the large volume of patient data available to them. It is vital to effectively integrate new CDS into clinical workflows and to align closely with the cognitive processes of frontline clinicians.

Advances In Non-Invasive Biosensing Measures To Monitor Wound Healing Progression, Walker D Short, Oluyinka O Olutoye, Benjamin W Padon, Umang M Parikh, Daniel Colchado, Hima Vangapandu, Shayan Shams, Taiyun Chi, Jangwook P Jung, Swathi Balaji

Faculty, Staff and Student Publications

Impaired wound healing is a significant financial and medical burden. The synthesis and deposition of extracellular matrix (ECM) in a new wound is a dynamic process that is constantly changing and adapting to the biochemical and biomechanical signaling from the extracellular microenvironments of the wound. This drives either a regenerative or fibrotic and scar-forming healing outcome. Disruptions in ECM deposition, structure, and composition lead to impaired healing in diseased states, such as in diabetes. Valid measures of the principal determinants of successful ECM deposition and wound healing include lack of bacterial contamination, good tissue perfusion, and reduced mechanical injury and …

Dimensionality Reduction And Louvain Agglomerative Hierarchical Clustering For Cluster-Specified Frequent Biomarker Discovery In Single-Cell Sequencing Data, Soumita Seth, Saurav Mallik, Tapas Bhadra, Zhongming Zhao

Faculty, Staff and Student Publications

The major interest domains of single-cell RNA sequential analysis are identification of existing and novel types of cells, depiction of cells, cell fate prediction, classification of several types of tumor, and investigation of heterogeneity in different cells. Single-cell clustering plays an important role to solve the aforementioned questions of interest. Cluster identification in high dimensional single-cell sequencing data faces some challenges due to its nature. Dimensionality reduction models can solve the problem. Here, we introduce a potential cluster specified frequent biomarkers discovery framework using dimensionality reduction and hierarchical agglomerative clustering Louvain for single-cell RNA sequencing data analysis. First, we pre-filtered …

Prediction Of Intensive Care Unit Admission (>24h) After Surgery In Elective Noncardiac Surgical Patients Using Machine Learning Algorithms, Lan Lan, Fangwei Chen, Jiawei Luo, Mengjiao Li, Xuechao Hao, Yao Hu, Jin Yin, Tao Zhu, Xiaobo Zhou

Faculty, Staff and Student Publications

BACKGROUND: To develop a highly discriminative machine learning model for the prediction of intensive care unit admission (>24h) using the easily available preoperative information from electronic health records. An accurate prediction model for ICU admission after surgery is of great importance for surgical risk assessment and appropriate utilization of ICU resources.

METHOD: Data were collected retrospectively from a large hospital, comprising 135,442 adult patients who underwent surgery except for cardiac surgery between 1 January 2014, and 31 July 2018 in China. Multiple existing predictive machine learning algorithms were explored to construct the prediction model, including logistic regression, random forest, …

Plasma Neurofilament Light Chain Levels Are Elevated In Children And Young Adults With Wolfram Syndrome, Sarah A Eisenstein, Raveena S Boodram, Courtney L Sutphen, Heather M Lugar, Brian A Gordon, Bess A Marshall, Fumihiko Urano, Anne M Fagan, Tamara Hershey

2020-Current year OA Pubs

Wolfram syndrome is a rare disease caused by pathogenic variants in the

Association Between Recent Overdose And Chronic Pain Among Individuals In Treatment For Opioid Use Disorder, Sarah M. Hartz, Robert C. Culverhouse, Carrie M. Mintz, Matthew S. Ellis, Zachary A. Kasper, Patricia Cavazos-Rehg, Richard A. Grucza, Laura J. Bierut, Theodore J. Cicero

2020-Current year OA Pubs

Chronic pain increases risk for opioid overdose among individuals with opioid use disorder. The purpose of this study is to evaluate the relationship between recent overdose and whether or not chronic pain is active. 3,577 individuals in treatment for opioid use disorder in 2017 or 2018 were surveyed regarding recent overdoses and chronic pain. Demographics from the 2017 Treatment Episode Data Set, which includes all U.S. facilities licensed or certified to provide substance use care, were used to evaluate the generalizability of the sample. χ2 tests and logistic regression models were used to compare associations between recent overdoses and chronic …

Fracture Resistance Of Root Canal-Treated Molars Restored With Ceramic Overlays With/Without Different Resin Composite Base Materials: An In Vitro Study, Hend Sayed Ahmed, Mohamed Fouad Haridy, Shehabeldin Saber, Mohamed Kataia, Edger Schafer

Dentistry

No abstract provided.

Correlation Of Depression, Anxiety And Stress Symptoms With Xerostomia Symptoms Among Medical And Dentistry Students In Pre-Clinical And Clinical Phase, Qushay U. Malinta, Anandha W. Yustika, Rasmidar Samad

Journal of Dentomaxillofacial Science

No abstract provided.

Bioactive Potential Of Edel Cocoa Bean (Theobroma Cacao L) From Kedaton Jember: Cytotoxicity And Antioxidants Evaluation, Rina Sutjiati, Leliana S. Devi, Dwi Prijatmoko, Herniyati, Rudy Joealijanto, Erna Sulistyani, Bilqis P. Safitri, Nihla Fitriyani

Journal of Dentomaxillofacial Science

No abstract provided.

Antibacterial Effectivity Of Coffee Bean Extract And Instant Coffee (Spray Drying) Against Porphyromonas Gingivalis, Tantin Ermawati, Nazilaturrohmah, Achmad Gunadi, Dessy Rachmawaty

Journal of Dentomaxillofacial Science

No abstract provided.