Digital Commons Network^™

A Prevalence Study Of Entamoeba Spp. In Basrah Province Using Different Detection Methods, Athraa Abdulameer Al-Hilfi, Maha Khalil Al-Malak, Muslim Abdulrahman Al-Tomah

Baghdad Science Journal

This study aims to determine the prevalence of Entamoeba histolytica, Entamoeba dispar andEntamoeba moshkovskii by three methods of diagnosis (microscopic examination, cultivation and PCR) thatwere compared to obtain an accurate diagnosis of Entamoeba spp. during amoebiasis. Total (n=150) stoolsamples related to patients were (n = 100) and healthy controls (n= 50). Clinically diagnosed stool samples(n=100) were collected from patients attending the consultant clinics of different hospitals in Basrah duringthe period from January 2018 to January 2019. The results showed that 60% of collected samples werepositive in a direct microscopic examination. All samples were cultivated on different media; the Brain heartinfusion …

Some Results On Normalized Duality Mappings And Approximating Fixed Points In Convex Real Modular Spaces, Salwa Salman Abed, Meena Fouad Abduljabbar

Baghdad Science Journal

In this paper, the concept of normalized duality mapping has introduced in real convex modular spaces. Then, some of its properties have shown which allow dealing with results related to the concept of uniformly smooth convex real modular spaces. For multivalued mappings defined on these spaces, the convergence of a two-step type iterative sequence to a fixed point is proved

Fuzzy Convergence Sequence And Fuzzy Compact Operators On Standard Fuzzy Normed Spaces, Raghad I. Sabri

Baghdad Science Journal

The main purpose of this work is to introducesome types of fuzzy convergence sequencesof operators defined on a standard fuzzy normed space(SFN-spaces) and investigate some properties and relationships between these concepts.Firstly,the definition of weak fuzzy convergence sequence in terms of fuzzy bounded linear functionalis given. Then thenotionsof weakly andstrongly fuzzy convergence sequencesof operators (Γn)are introducedand essential theorems related to these conceptsare proved.In particular,if (Γn) is a strongly fuzzy convergent sequencewith a limit Γwhere Γlinear operatorfrom complete standard fuzzy normed space (U,��U,⊛)into a standard fuzzy normed space (V,��V,⊛)then Γbelongs to the set of all fuzzy bounded linear operators����(U,V). Furthermore, the concept …

Boubaker Wavelets Functions: Properties And Applications, Suha N. Shihab, Eman H. Ouda, Samaa F. Ibraheem

Baghdad Science Journal

This paper is concerned with introducing an explicit expression for orthogonal Boubaker polynomial functions with some important properties. Taking advantage of the interesting properties of Boubaker polynomials, the definition of Boubaker wavelets on interval [0,1) is achieved. These basic functions are orthonormal and have compact support. Wavelets have many advantages and applications in the theoretical and applied fields, and they are applied with the orthogonal polynomials to propose a new method for treating several problems in sciences, and engineering that is wavelet method, which is computationally more attractive in the various fields. A novel property of Boubaker wavelet function derivative …

Qtaim Study Of The Bonding In Triosmium Trihydridecluster[Os3(Μ-H)3(Μ3-ɳ2-Cc7h3(2-Ch3)Ns)(Co)8], Nadia Ezzat Al-Kirbasee, Shatha Raheem Helal Alhimidi, Muhsen Abood Muhsen Al-Ibadi

Baghdad Science Journal

The Atoms in Molecules (AIM) analysis for triosmium cluster, which contains trihydridede, carbon, carbonyl and 2-methylbenzothiazolide ligands, [Os3(µ-H)3(µ3-ɳ2-CC7H3(2-CH3)NS)(CO)8] is reported. Bonding features in this cluster has been analyzed based on QTAIM ("Quantum Theory of Atoms in Molecules") in this work. The topological indices derived from electron density of relevant interactions in triosmium compound have been studied. The major interesting point of the AIM analyses is that the core of part (Os3H3) reveals the absence of any critical points and bond paths connecting any pairs of Os metal atoms. However, bond critical points with their bond paths occurring between all Os-H …

Studying The Photodegradation Of Congo Red Dye From Aqueous Solutions Using Bimetallic Au–Pd/Tio2 Photocatalyst, Souad A. Mousa, Sanaa Tareq, Eman A. Muhammed

Baghdad Science Journal

In this study, the photodegradation of Congo red dye (CR) in aqueous solution was investigated using Au-Pd/TiO2 as photocatalyst. The concentration of dye, dosage of photocatalyst, amount of H2O2, pH of the medium and temperature were examined to find the optimum values of these parameters. It has been found that 28 ppm was the best dye concentration. The optimum amount of photocatalyst was 0.09 g/75 mL of dye solution when the degradation percent was ~ 96 % after irradiation time of 12 hours, while the best amount of hydrogen peroxide was 7μl/75 mL of dye solution at degradation percent ~97 …

New Spectral Range Generations From Laser-Plasma Interaction, Shaimaa S. Mahdi, Kadhim A. Aadim, Madyan A. Khalaf

Baghdad Science Journal

High-intensity laser-produced plasma has been extensively investigated in many studies. In this demonstration, a new spectral range was observed in the resulted spectra from the laser-plasma interaction, which opens up new discussions for new light source generation. Moreover, the characterizations of plasma have been improved through the interaction process of laser-plasma. Three types of laser were incorporated in the measurements, continuous-wave CW He-Ne laser, CW diode green laser, pulse Nd: YAG laser. As the plasma system, DC glow discharge plasma under the vacuum chamber was considered in this research. The plasma spectral peaks were evaluated, where they refer to Nitrogen …

Fabrication And Characterization Of Nanofibers Membranes Using Electrospinning Technology For Oil Removal, Amer N. Al-Naemi, Mohammed A. Abdul-Majeed, Mustafa H. Al-Furaiji, Inmar N Ghazi

Baghdad Science Journal

Oily wastewater is one of the most challenging streams to deal with especially if the oil exists in emulsified form. In this study, electrospinning method was used to prepare nanofiberous polyvinylidene fluoride (PVDF) membranes and study their performance in oil removal. Graphene particles were embedded in the electrospun PVDF membrane to enhance the efficiency of the membranes. The prepared membranes were characterized using a scanning electron microscopy (SEM) to verify the graphene stabilization on the surface of the membrane homogeneously; while FTIR was used to detect the functional groups on the membrane surface. The membrane wettability was assessed by measuring …

Checking Smart Contracts With Structural Code Embedding, Zhipeng Gao, Lingxiao Jiang, Xin Xia, David Lo, John Grundy

Research Collection School Of Computing and Information Systems

Smart contracts have been increasingly used together with blockchains to automate financial and business transactions. However, many bugs and vulnerabilities have been identified in many contracts which raises serious concerns about smart contract security, not to mention that the blockchain systems on which the smart contracts are built can be buggy. Thus, there is a significant need to better maintain smart contract code and ensure its high reliability. In this paper, we propose an automated approach to learn characteristics of smart contracts in Solidity, useful for repetitive contract code, bug detection and contract validation. Our new approach is based on …

Graph Learning Assisted Multi-Objective Integer Programming, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Simon Lin

Research Collection School Of Computing and Information Systems

Objective-space decomposition algorithms (ODAs) are widely studied for solvingmulti-objective integer programs. However, they often encounter difficulties inhandling scalarized problems, which could cause infeasibility or repetitive nondominatedpoints and thus induce redundant runtime. To mitigate the issue, we presenta graph neural network (GNN) based method to learn the reduction rule in the ODA.We formulate the algorithmic procedure of generic ODAs as a Markov decisionprocess, and parameterize the policy (reduction rule) with a novel two-stage GNNto fuse information from variables, constraints and especially objectives for betterstate representation. We train our model with imitation learning and deploy it ona state-of-the-art ODA. Results show that …

On Analysing Student Resilience In Higher Education Programs Using A Data-Driven Approach, Audrey Tedja Widjaja, Ee Peng Lim, Aldy Gunawan

Research Collection School Of Computing and Information Systems

Analysing student resilience is important as research has shown that resilience is related to students’ academic performance and their persistence through academic setbacks. While questionnaires can be conducted to assess student resilience directly, they suffer from human recall errors and deliberate suppression of true responses. In this paper, we propose ACREA, ACademic REsilience Analytics framework which adopts a datadriven approach to analyse student resilient behavior with the use of student-course data. ACREA defines academic setbacks experienced by students and measures how well students overcome such setbacks using a quasi-experimental design. By applying ACREA on a real world student-course dataset, we …

Degree Doesn't Matter: Identifying The Drivers Of Interaction In Software Development Ecosystem, Amrita Bhattacharjee, Subhajit Datta, Subhashis Majumder

Research Collection School Of Computing and Information Systems

Large scale software development ecosystems represent one of the most complex human enterprises. In such settings, developers are embedded in a web of shared concerns, responsibilities, and objectives at individual and collective levels. A deep understanding of the factors that influence developers to connect with one another is crucial in appreciating the challenges of such ecosystems as well as formulating strategies to overcome those challenges. We use real world data from multiple software development ecosystems to construct developer interaction networks and examine the mechanisms of such network formation using statistical models to identify developer attributes that have maximal influence on …

Integration Of Information Technology Certifications Into Undergraduate Computing Curriculum, Eng Lieh Ouh, Kyong Jin Shim

Research Collection School Of Computing and Information Systems

This innovative practice full paper describes our experiences of integrating information technology certifications into an undergraduate computing curriculum. As the technology landscape evolves, a common challenge for educators in computing programs is designing an industry-relevant curriculum. Over the years, industry practitioners have taken technology certifications to validate themselves against a base level of technical knowledge currently in demand in industry. Information technology (IT) certifications can also offer paths for academic computing programs to stay relevant to industry needs. However, identifying relevant IT certifications and integrating it into an academic curriculum requires a careful design approach as substantial efforts are needed …

Adadeep: A Usage-Driven, Automated Deep Model Compression Framework For Enabling Ubiquitous Intelligent Mobiles, Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Hui Liu, Zhangyang Wang, Yingyan Lin

Research Collection School Of Computing and Information Systems

Recent breakthroughs in deep neural networks (DNNs) have fueled a tremendously growing demand for bringing DNN-powered intelligence into mobile platforms. While the potential of deploying DNNs on resource-constrained platforms has been demonstrated by DNN compression techniques, the current practice suffers from two limitations: 1) merely stand-alone compression schemes are investigated even though each compression technique only suit for certain types of DNN layers; and 2) mostly compression techniques are optimized for DNNs’ inference accuracy, without explicitly considering other application-driven system performance (e.g., latency and energy cost) and the varying resource availability across platforms (e.g., storage and processing capability). To this …

Imon: Appearance-Based Gaze Tracking System On Mobile Devices, Sinh Huynh, Rajesh Krishna Balan, Jeonggil Ko

Research Collection School Of Computing and Information Systems

Gaze tracking is a key building block used in many mobile applications including entertainment, personal productivity, accessibility, medical diagnosis, and visual attention monitoring. In this paper, we present iMon, an appearance-based gaze tracking system that is both designed for use on mobile phones and has significantly greater accuracy compared to prior state-of-the-art solutions. iMon achieves this by comprehensively considering the gaze estimation pipeline and then overcoming three different sources of errors. First, instead of assuming that the user's gaze is fixed to a single 2D coordinate, we construct each gaze label using a probabilistic 2D heatmap gaze representation input to …

Context-Aware Graph Convolutional Network For Dynamic Origin-Destination Prediction, Juan Nathaniel, Baihua Zheng

Research Collection School Of Computing and Information Systems

A robust Origin-Destination (OD) prediction is key to urban mobility. A good forecasting model can reduce operational risks and improve service availability, among many other upsides. Here, we examine the use of Graph Convolutional Net-work (GCN) and its hybrid Markov-Chain (GCN-MC) variant to perform a context-aware OD prediction based on a large-scale public transportation dataset in Singapore. Compared with the baseline Markov-Chain algorithm and GCN, the proposed hybrid GCN-MC model improves the prediction accuracy by 37% and 12% respectively. Lastly, the addition of temporal and historical contextual information further improves the performance of the proposed hybrid model by 4 –12%.

Infinite Time Horizon Safety Of Bayesian Neural Networks, Mathias Lechner, Dorde Zikelic, Krishnendu Chatterjee, Thomas A. Henzinger

Research Collection School Of Computing and Information Systems

Bayesian neural networks (BNNs) place distributions over the weights of a neural network to model uncertainty in the data and the network’s prediction. We consider the problem of verifying safety when running a Bayesian neural network policy in a feedback loop with infinite time horizon systems. Compared to the existing sampling-based approaches, which are inapplicable to the infinite time horizon setting, we train a separate deterministic neural network that serves as an infinite time horizon safety certificate. In particular, we show that the certificate network guarantees the safety of the system over a subset of the BNN weight posterior’s support. …

Institute For Global Health And Development : Issue 1 - December 2021, Institute For Global Health And Development

IGHD Newsletters

• Climate Change and Environment Sustainability
• Agriculture, Food Security, and Nutrition
• Gender Equality and Women Empowerment
• Sustainable Development Goals

Self-Supervised Learning Disentangled Group Representation As Feature, Tan Wang, Zhongqi Yue, Jianqiang Huang, Qianru Sun, Hanwang Zhang

Research Collection School Of Computing and Information Systems

A good visual representation is an inference map from observations (images) to features (vectors) that faithfully reflects the hidden modularized generative factors (semantics). In this paper, we formulate the notion of “good” representation from a group-theoretic view using Higgins’ definition of disentangled representation [38], and show that existing Self-Supervised Learning (SSL) only disentangles simple augmentation features such as rotation and colorization, thus unable to modularize the remaining semantics. To break the limitation, we propose an iterative SSL algorithm: Iterative Partition-based Invariant Risk Minimization (IP-IRM), which successfully grounds the abstract semantics and the group acting on them into concrete contrastive learning. …

The Mystery Of Covid-19 Reinfections: A Global Systematic Review And Meta-Analysis, Rubaid Azhar Dhillon, Mohammad Aadil Qamar, Jaleed Ahmed Gilani, Omar Irfan, Usama Waqar, Mir Ibrahim Sajid, Syed Faisal Mahmood

Department of Medicine

Background: As the COVID-19 pandemic rages on, reports on disparities in vaccine roll out alongside COVID-19 reinfection have been emerging. We conducted a systematic review to assess the determinants and disease spectrum of COVID-19 reinfection.
Materials and methods: A comprehensive search covering relevant databases was conducted for observational studies reporting Polymerase Chain Reaction (PCR) confirmed infection and reinfection cases. A quality assessment tool developed by the National Institute of Health (NIH) for the assessment of case series was utilized. Meta-analyses were performed using RevMan 5.3 for pooled proportions of findings in first infection and reinfection with a 95% confidence interval …

Us Consumers' Perceptions Of Raw And Cooked Broken Rice, Matthew G. Richardson, Philip Glen Crandall, Han-Seok Seo, Corliss A. O'Bryan

Food Science Faculty Publications and Presentations

Rice supplies about 20% of the calories to the world’s consumers. Milling removes the outer husk and bran, breaking about 20% of the rice kernels during the milling process that equates to almost 100,000,000 tons of rice annually. Broken rice is discounted in price by almost half or relegated to non-human consumption. This study seeks to understand why this large percentage of rice production is discounted for human consumption. Consumers who routinely consume rice evaluated raw and cooked rice with 5%, 10%, 20%, 30% and 40% levels of brokens. Sensory analysis indicated the appearance of raw rice with high levels …

Accident-Proof Headphones: An Analytical Research On How Smart Headphones Could Reduce Road Fatalities, J.K.D.R. Jayasekara, D. Dhammearatchi

Journal of Innovation in Science, Engineering and Technology

Headphones are used by most people as a source of entertainment. Many pedestrians, cyclists and joggers like to use headphones while they are on the road even though it can result in extreme sensory deprivation and distraction. The purpose of this paper is to conduct a study on how the use of headphones can reduce the standard limits of human perception. It examines how this increases the vulnerability of one facing road accidents and proposes a possible solution to overcome this issue.

An Exploration Of Teachers’ Perceptions And Experiences Serving Students Of Incarcerated Parents In A Rural Setting, Melissa P. Phelan

Electronic Theses and Dissertations

Abstract

The increase in the United States prison population over the past several years has precipitated a record number of children in the public school system with incarcerated parents. Consequences of this trend have recently been given significant attention by researchers due to the myriad of difficulties noted to be associated with parental incarceration. The purpose of this qualitative case study was to explore the perceptions, experiences, and insights of educators in a small rural district in Texas as they serve students experiencing parental incarceration. Presentation of an educator in context schema was provided by the application of Bronfenbrenner’s ecological …

Nursing Perceptions For Utilizing Essential Oil Application In Labor And The Effect Of Targeted Education, Joni R. Beckham

Electronic Theses and Dissertations

This Doctor of Nursing Practice project was implemented to determine how a nurse’s perception of aromatherapy influences their decision to provide aromatherapy for patients during labor and the effect of targeted education on a nurse’s perception. The purpose of this project was to determine how nurses view the use of aromatherapy resources at their disposal and the likelihood that they would offer the intervention to their patients. This project provided education to increase nurses’ confidence in providing optimal care to patients using a traditional and holistic avenue of aromatherapy while determining if education can positively influence nurses to support essential …

The Invisible Language: Unintentional Patronage And Missions Practice In Contemporary Thailand, Samuel Burton Jones

Electronic Theses and Dissertations

Patronage-clientelism is a current and important topic of discussion among the anthropological and missiological community. The effects of unintended patronage by Western missionaries in the context of Thai culture, however, are underexplored in academic research. In this study, I analyzed the effects of unintentional patronage among Western missionaries in a Thai cross-cultural ministry context. To do this I utilized a multiple case study method in which I compared four cases and analyzed for examples of how unintentional patronage is generated. I discovered that unintentional patronage was likely a result of insufficient missionary education regarding patronage-clientelism, as well as a lack …

School Nursing Practice And Experiences During School Closures, Susie E. Birden Brown

Electronic Theses and Dissertations

This evidence-based quality improvement project was to evaluate public school nurses’ relationships and reaction to their new work environment during the closure of schools in Northern California resulting from the COVID-19 pandemic. This project addressed the change in school nursing, especially the nurses’ working environment. A stress management program was offered to the school nurses as an intervention to give them information on perceived stress. The stress management program included mindfulness and stress-relieving techniques over a 1-month period. The research methodology used in the project was a pre- and postintervention using the Perceived Stress Scale-10 (PSS) to measure if the …

The Impact Of Leadership And Institutional Priorities On Degree Completion Of Community College Students, Estelle L. Garza

Electronic Theses and Dissertations

This study explored student perceptions of leadership and the impact they believed it to have on their ability to complete a degree at a community college district. Community college degree completion is both a statewide and national problem as most students who start a degree program will drop out before reaching the requirements to finish their degree, which can hurt their career opportunities and the economy. The purpose of this study was to determine how students perceive factors like leadership and their satisfaction with institutional priority factors to impact degree completion. This study used action research and a mixed methods …

The Relationship Of Hospital Ceo Gender And The Patient Experience: The Role Of The Mediating Effects Of Hospital Characteristics, Lanean M. Lang

Electronic Theses and Dissertations

In this quantitative study, I investigated CEO gender and the patient experience in acute care hospitals in Texas for 2019. As the patient-experience has been the metric for quality patient care and hospital reimbursements, hospital CEOs play an important role in promoting positive patient experience as they lead the organization in strategic goals. The study is relevant as a shortage of experienced and qualified healthcare leaders is expected as baby-boomers retire. The lack of women leaders remains a challenging issue. The purpose of the study was to assess the gender differences of the CEO on the impact of patient experience …

The Use Doctrine In Trademark Law: Issues From Trade And Transborder Reputation, Srividhya Ragavan

Cardozo Law Review

No abstract provided.

Treat Thy Neighbor As Thyself? Equal Protection And The Scope Of Rluipa’S Equal Terms Clause, Noah Kane

Cardozo Law Review

No abstract provided.