A5071307860- Epigenetics and DNA Methylation
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Identity, Memory, and Therapy
- Antibiotic Use and Resistance
- Antibiotic Resistance in Bacteria
- Galaxies: Formation, Evolution, Phenomena
- Metabolomics and Mass Spectrometry Studies
- Influenza Virus Research Studies
- Orthopaedic implants and arthroplasty
- Tryptophan and brain disorders
- Data-Driven Disease Surveillance
- Optimal Experimental Design Methods
- COVID-19 epidemiological studies
- Total Knee Arthroplasty Outcomes
- Genetic Syndromes and Imprinting
- Statistical Methods and Bayesian Inference
- Spectroscopy and Chemometric Analyses
- Machine Learning and Algorithms
- Viral Infections and Vectors
- Genetic Associations and Epidemiology
- Statistical Distribution Estimation and Applications
- Probabilistic and Robust Engineering Design
- Remote Sensing in Agriculture
- Adolescent and Pediatric Healthcare
Al-Balqa Applied University
2024
King Hussein Medical Center
2024
Ministry of Health of the Russian Federation
2024
Jordan University of Science and Technology
2024
Johns Hopkins Medicine
2020-2023
Johns Hopkins University
2020-2023
Harvard University
2018-2020
Mohamed bin Zayed University of Artificial Intelligence
2019
American University of Ras Al Khaimah
2019
Carleton University
2019
Major depressive disorder is associated with an increased risk of mortality and aging-related diseases. The authors examined whether major depression higher epigenetic aging in blood as measured by DNA methylation (DNAm) patterns, clinical characteristics have a further impact on these the findings replicate brain tissue.DNAm age was estimated using all sites 811 depressed patients 319 control subjects no lifetime psychiatric disorders low symptoms from Netherlands Study Depression Anxiety....
In the presence of health threats, precision public approaches aim to provide targeted, timely, and population-specific interventions. Accurate surveillance methodologies that can estimate infectious disease activity ahead official healthcare-based reports, at relevant spatial resolutions, are important for achieving this goal. Here we introduce a methodological framework which dynamically combines two distinct influenza tracking techniques, using an ensemble machine learning approach,...
BackgroundThe rapid increase of bacterial antibiotic resistance could soon render our most effective method to address infections obsolete. Factors influencing pathogen prevalence in human populations remain poorly described, though temperature is known contribute mechanisms spread.AimTo quantify the role temperature, spatially and temporally, as a mechanistic modulator transmission resistant microbes.MethodsAn ecologic analysis was performed on country-level three common pathogens across 28...
Two of the main problems encountered in development and accurate validation photometric redshift (photo-z) techniques are lack spectroscopic coverage feature space (e.g. colours magnitudes) mismatch between error distributions associated with samples. Although these issues well known, there is currently no standard benchmark allowing a quantitative analysis their impact on final photo-z estimation. In this work, we present two galaxy catalogues, Teddy Happy, built to enable more demanding...
Abstract Motivation Enrichment-based technologies can provide measurements of DNA methylation at tens millions CpGs for thousands samples. Existing tools methylome-wide association studies cannot analyze datasets this size and lack important features like principal component analysis, combined analysis with SNP data outcome predictions that are based on all informative sites. Results We present a Bioconductor R package called RaMWAS full set large-scale studies. It is free, cross-platform,...
With the ubiquity of digital radiographs, use templating for arthroplasty has become commonplace. Although improved accuracy with radiographs and magnification markers is assumed, it not been shown.We wanted to (1) evaluate in estimating true hip (2) determine if improves on older techniques assuming a 20% all patients.Between April 2013 September we collected 100 AP pelvis patients who had THA prosthesis situ marker placed per manufacturer's instructions. Radiographs seen during our...
We developed a hierarchical Bayesian model (HBM) to investigate how the presence of Seyfert activity relates their environment, herein represented by galaxy cluster mass, $M_{200}$, and normalized cluster-centric distance, $r/r_{200}$. achieved this constructing an unbiased sample galaxies from Sloan Digital Sky Survey, with morphological classifications provided Galaxy Zoo Project. A propensity score matching approach is introduced control for effects confounding variables: stellar colour,...
Gamma regression (GR) is a member of generalized liner models and often used when the phenomenon under study skewed mean proportional to standard deviation. It can find applications in several areas such as life-testing problems, forecasting cancer incidences, weather extremes quality control. Also it natural candidate modelling variance has been increasingly over past decade. When appropriate, studies encouraged its use log transformation, Lewis et al. [Examples designed experiments with...
Abstract One of the main objectives response surface methodology is to find operating settings that optimize mean function. When estimating optimum settings, it highly important take variance into account. Data transformations are frequently used eliminate heterogeneity. Important references in such as Box and Draper Myers et al recommend transforming data prior process optimization, if needed. Process optimization initialized transformation successfully stabilizes variance. In this paper, I...
The dark ages of the Universe end with formation first generation stars residing in primeval galaxies. These objects were to produce ultraviolet ionizing photons a period when cosmic gas changed from neutral state an ionized one, known as Epoch Reionization (EoR). A pivotal aspect comprehend EoR is probe intertwined relationship between fraction capable escape haloes, also ($f_{esc}$), and physical properties galaxy. This work develops sound statistical model suitable account for such...
In 1984, we developed a private practice joint replacement registry (JRR) to prospectively follow patients undergoing THA and TKA assess clinical radiographic outcomes, complications, implant survival. Little has been reported in the literature regarding management of this type database, it is unclear whether how information can be useful for addressing longer-term questions.We answered following questions: (1) What rate followup our JRR? (2) factors affect followup? (3) How successful JRR...
Abstract Background Widely recognized as a major public health threat globally, the rapid increase of antibiotic resistance in bacteria could soon render our most effective method to combat infections obsolete. Factors influencing burden human populations remain poorly described, though temperature is known play an important role mechanisms at bacterial level. Methods We performed ecologic analysis country level prevalence 3 common pathogens across 28 countries Europe, and used multivariable...
Summary Christensen & Lin ( ) suggested two lack of fit tests to assess the adequacy a linear model based on partial sums residuals. In particular, their evaluated mean function. Their relied asymptotic results without requiring small sample normality. We propose four new tests, find distributions, and an alternative simulation method for defining that is remarkably robust distribution errors. To strengths weaknesses, were compared in different scenarios by simulation. include absolute...
Acute kidney injury (AKI) after major noncardiac surgery is commonly attributed to cardiovascular dysfunction. Identifying novel associations between preoperative markers and may guide risk stratification perioperative intervention. Increased left ventricular relative wall thickness (RWT), routinely measured on echocardiography, associated with myocardial dysfunction long-term of heart failure in patients preserved ejection fraction (LVEF); however, its relationship postoperative...
The aims of the study were to describe diagnostic discordance rates at our pediatric tertiary care center between reason for transfer critically ill/injured children (determined by referring institution) and inpatient admission diagnosis accepting institution), identify potential factors associated with discordance, determine its impact on patient outcomes.We conducted a retrospective chart review all transferred Johns Hopkins Children's Center July 1, 2017, June 30, 2018. All patients whose...
Introduction: Medical education is the foundation of knowledge among medical students. This study aims to investigate students at Al-Balqa Applied University, exploring their awareness five communicable diseases, namely, leishmaniasis, hepatitis B, tuberculosis, measles, and cholera. Methods: cross-sectional survey included 271 participants who answered a structured validated questionnaire with varying questions on causes, symptoms, complications, transmission routes, preventive measures for...
Abstract In the presence of population-level health threats, precision public approaches seek to provide right intervention population at time. Accurate real-time surveillance methodologies that can estimate infectious disease activity ahead official healthcare-based reports, in relevant spatial resolutions, are critical eventually achieve this goal. We introduce a novel methodological framework for task which dynamically combines two distinct flu tracking techniques, using ensemble machine...
Uncertainty in the sensitivity of global mean air temperature to changes atmospheric CO2 concentration arises from factors controlling response cloud amounts. Here, we present an analysis these within ensemble consisting 164 variations NCAR Community Atmosphere Model version 3.1, each which differs slightly their treatment convection and radiative properties. The problem is uniquely relate observable aspects model output, are inherently high dimensional such as 64,000 spatially mapped values...
Summary Regression models that ignore measurement error in predictors may produce highly biased estimates leading to erroneous inferences. It is well known it extremely difficult take into account Gaussian non‐parametric regression. This problem becomes even more when considering other families such as binary, Poisson and negative binomial We present a novel method aiming correct for estimating regression functions. Our approach sufficiently flexible cover virtually all distributions link...