Ali Arab
YOU?
Author Swipe
View article: Understanding the role of sentiment and emotion for predicting forced displacement
Understanding the role of sentiment and emotion for predicting forced displacement Open
Digital trace data play an important role determining where and when people will move during migration crises because of their detailed temporal and spatial granularity. Yet, identifying variables that reliably serve as early indicators of…
View article: Formal Bayesian Transfer Learning via the Total Risk Prior
Formal Bayesian Transfer Learning via the Total Risk Prior Open
In analyses with severe data-limitations, augmenting the target dataset with information from ancillary datasets in the application domain, called source datasets, can lead to significantly improved statistical procedures. However, existin…
View article: Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa
Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa Open
The malaria burden remains largely concentrated in sub- Saharan Africa. South Africa, a country within this region, has made significant progress toward malaria elimination. However, malaria continues to be endemic in three of its nine pro…
View article: On chaotic behavior, stability analysis, and vibration control of the van der Pol–Mathieu–Duffing oscillator under parametric force and resonance
On chaotic behavior, stability analysis, and vibration control of the van der Pol–Mathieu–Duffing oscillator under parametric force and resonance Open
The van der Pol–Mathieu–Duffing oscillator (VMDO) finds applications across diverse fields due to its ability to model complex dynamic behaviors. Oscillators are versatile tools used in fields such as mechanics, biology, and electrical eng…
View article: Proximal Iteration for Nonlinear Adaptive Lasso
Proximal Iteration for Nonlinear Adaptive Lasso Open
Augmenting a smooth cost function with an $\ell_1$ penalty allows analysts to efficiently conduct estimation and variable selection simultaneously in sophisticated models and can be efficiently implemented using proximal gradient methods. …
View article: Analyzing the chaotic and stability behavior of a duffing oscillator excited by a sinusoidal external force
Analyzing the chaotic and stability behavior of a duffing oscillator excited by a sinusoidal external force Open
This paper delves into the dynamical, chaotic, and stability aspects of the Duffing oscillator (DO) under sinusoidal external excitation, underscoring its relevance in various scientific and engineering applications. The DO, with its compl…
View article: Machine learning model identifies genetic predictors of cisplatin-induced ototoxicity in CERS6 and TLR4
Machine learning model identifies genetic predictors of cisplatin-induced ototoxicity in CERS6 and TLR4 Open
Overall, these findings provide a foundation for understanding the genetic landscape of cisplatin-induced ototoxicity, with implications for improving patient care and treatment outcomes.
View article: Influence of environmental, geographic, socio-demographic, and epidemiological factors on presence of malaria at the community level in two continents
Influence of environmental, geographic, socio-demographic, and epidemiological factors on presence of malaria at the community level in two continents Open
The interactions of environmental, geographic, socio-demographic, and epidemiological factors in shaping mosquito-borne disease transmission dynamics are complex and changeable, influencing the abundance and distribution of vectors and the…
View article: The digital trail of Ukraine’s 2022 refugee exodus
The digital trail of Ukraine’s 2022 refugee exodus Open
When the 2022 Russian full-scale invasion of Ukraine forced millions of people to leave their homes, officials worldwide scrambled to estimate the number of people who would seek refuge in their countries. There were a limited number of of…
View article: On the influence of an energy harvesting device on a dynamical system
On the influence of an energy harvesting device on a dynamical system Open
This article studies the motion of a three degrees-of-freedom (DOF) dynamical system, which consists of two parts, a dynamic part, and an electromagnetic harvesting device. The composition of the system depends on the magnet oscillating in…
View article: How environmental, geographic, socio-demographic, and epidemiological indicators influence malaria prevalence
How environmental, geographic, socio-demographic, and epidemiological indicators influence malaria prevalence Open
Background: The interactions of environmental, geographic, socio-demographic, and epidemiological factors in shaping mosquito-borne disease transmission dynamics are complex and changeable, influencing the abundance and distribution of vec…
View article: A Treatise on Urgent Women’s Alimony, by Muhammad bin Mustafa Musleh Al-Din Al-Qujuwi, Known as Sheikh Zadeh, (d.: 951 AH), Study and Investigation
A Treatise on Urgent Women’s Alimony, by Muhammad bin Mustafa Musleh Al-Din Al-Qujuwi, Known as Sheikh Zadeh, (d.: 951 AH), Study and Investigation Open
The manuscripts did not receive noticeable attention among researchers and scholars, there for, they have been abandoned. If the curtain had been revealed about them, we would have been astonished by their precious treasures and precious s…
View article: Neuroimaging and machine learning for studying the pathways from mild cognitive impairment to Alzheimer's disease: A systematic review
Neuroimaging and machine learning for studying the pathways from mild cognitive impairment to Alzheimer's disease: A systematic review Open
Background: This systematic review synthesizes the most recent neuroimaging procedures and machine learning approaches for the prediction of conversion from mild cognitive impairment to Alzheimer’s disease dementia. Methods: We systematica…
View article: Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty
Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty Open
Modern statistical learning algorithms are capable of amazing flexibility, but struggle with interpretability. One possible solution is sparsity: making inference such that many of the parameters are estimated as being identically 0, which…
View article: Subgroup Discovery in Unstructured Data
Subgroup Discovery in Unstructured Data Open
Subgroup discovery is a descriptive and exploratory data mining technique to identify subgroups in a population that exhibit interesting behavior with respect to a variable of interest. Subgroup discovery has numerous applications in knowl…
View article: Spatial aggregation choice in the era of digital and administrative surveillance data
Spatial aggregation choice in the era of digital and administrative surveillance data Open
Traditional disease surveillance is increasingly being complemented by data from non-traditional sources like medical claims, electronic health records, and participatory syndromic data platforms. As non-traditional data are often collecte…
View article: A novel model to accurately predict continental-scale timing of forest green-up
A novel model to accurately predict continental-scale timing of forest green-up Open
The yearly cycles in vegetation greenness are among the most important drivers of ecosystem processes. Predictive models for the timing of vegetation greenup and senescence are crucial for understanding how biological communities respond t…
View article: Misinformation about COVID-19 and Venezuelan Migration: Trends in Twitter Conversation during a Pandemic
Misinformation about COVID-19 and Venezuelan Migration: Trends in Twitter Conversation during a Pandemic Open
This article asks whether and how—during the COVID-19 pandemic at a time of considerable uncertainty—current events and announcements by governments and political leaders are associated with trends in Twitter conversation. Using Spanish-la…
View article: Editorial: Advances in Statistical Ecology: New Methods and Software
Editorial: Advances in Statistical Ecology: New Methods and Software Open
ecological processes and from sampling. To adequately analyze data resulting from ecological studies, complex statistical tools are used and developed that reflect the specific sampling methods common to ecological data. This special issue…
View article: Sedative and Analgesic Effects of Intravenous Midazolam and Ketamine Combination in Bone Marrow Aspiration and Biopsy of Childhood Cancer
Sedative and Analgesic Effects of Intravenous Midazolam and Ketamine Combination in Bone Marrow Aspiration and Biopsy of Childhood Cancer Open
Background: Various drugs, including ketamine and midazolam, are used for sedation in children. Objectives: This study aimed to evaluate the effectiveness of intravenous midazolam and ketamine combination in bone marrow aspiration and biop…
View article: Moderate-Intensity Physical Activity, Music and Art Activities Preserved Cognitive Health in Older Adults: An Argument for Social Prescribing Solution
Moderate-Intensity Physical Activity, Music and Art Activities Preserved Cognitive Health in Older Adults: An Argument for Social Prescribing Solution Open
Introduction: Rates of dementia are projected to increase over the coming years as global populations age. Without a treatment to slow the progression of dementia, many health policies are focusing on preventing dementia by slowing the rat…
View article: Spatial aggregation choice in the era of digital and administrative surveillance data
Spatial aggregation choice in the era of digital and administrative surveillance data Open
Background Traditional disease surveillance is increasingly being complemented by data from non-traditional sources like medical claims, electronic health records, and participatory syndromic data platforms. As non-traditional data are oft…
View article: Environmental Correlates of Lyme Disease Emergence in Southwest Virginia, 2005–2014
Environmental Correlates of Lyme Disease Emergence in Southwest Virginia, 2005–2014 Open
Lyme disease is the most common tick-borne disease in North America. Though human infection is mostly transmitted in a limited geography, the range has expanded in recent years. One notable area of recent expansion is in the mountainous re…
View article: A Bayesian approach for estimating age‐adjusted rates for low‐prevalence diseases over space and time
A Bayesian approach for estimating age‐adjusted rates for low‐prevalence diseases over space and time Open
Age‐adjusted rates are frequently used by epidemiologists to compare disease incidence and mortality across populations. In small geographic regions, age‐adjusted rates computed directly from the data are subject to considerable variabilit…
View article: A flexible univariate moving average time-series model for dispersed count data
A flexible univariate moving average time-series model for dispersed count data Open
Al-Osh and Alzaid (1988) consider a Poisson moving average (PMA) model to describe the relation among integer-valued time series data; this model, however, is constrained by the underlying equi-dispersion assumption for count data (i.e., t…
View article: A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT
A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT Open
This project aimed to develop and evaluate a fast and fully-automated deep-learning method applying convolutional neural networks with deep supervision (CNN-DS) for accurate hematoma segmentation and volume quantification in computed tomog…
View article: Identifying Meaningful Indirect Indicators of Migration for Different Conflicts
Identifying Meaningful Indirect Indicators of Migration for Different Conflicts Open
This extended abstract describes an ongoing project that attempts to blend publicly available organic, real time behavioral data, event data, and traditional migration data to determine when and where people will move during times of insta…
View article: Minimizing the stop time of private vehicles at intersections with LRT signal priority systems
Minimizing the stop time of private vehicles at intersections with LRT signal priority systems Open
There are some strategies suggested to improve the performance of intersections and increase the demand for public vehicles by prioritizing them. To this end, several methods have been used such as Transit Signal Priority (TSP) system for …