Physical Sciences and Mathematics Commons^™

Adapting The Adapters For Code-Switching In Multilingual Asr, Atharva Kulkarni, Ajinkya Kulkarni, Miguel Couceiro, Hanan Al Darmaki

Natural Language Processing Faculty Publications

Recently, large pre-trained multilingual speech models have shown potential in scaling Automatic Speech Recognition (ASR) to many low-resource languages. Some of these models employ language adapters in their formulation, which helps to improve monolingual performance and avoids some of the drawbacks of multi-lingual modeling on resource-rich languages. However, this formulation restricts the usability of these models on code-switched speech, where two languages are mixed together in the same utterance. In this work, we propose ways to effectively fine-tune such models on code-switched speech, by assimilating information from both language adapters at each language adaptation point in the network. We also …

Sigite'23 Poster And Extended Abstract: The Proof Of Gold Is Fire: Measuring Stress To Show Impact Of Gender Based Initiatives In Computing Education, Alina Berry, Sarah Jane Delany

Other resources

Many initiatives across the world try to address the issue of gender imbalance in computing education. Evaluation of the impact of these initiatives is not always straightforward. Some interventions are able to demonstrate impact based on recruitment and retention numbers of underrepresented gender groups, in particular, women, often requiring a longer-term study to see impact. Others, especially shorter term interventions and those taking place during the teaching and learning process, frequently use feedback and other instruments as a measure of impact. This work reviews existing evaluation methods from the literature, categorises them as using statistical data, feedback or instruments, grouping …

Indigenous Values And Their Place In Contemporary Discussions Of Sustainability, Joey Miller

Sustainability Research & Practice Seminar Presentations

Sustainability Research & Practice Seminar on "Indigenous Values and their Place in Contemporary Discussions of Sustainability" by Professor Joey Miller, Department of Philosophy, West Chester University of Pennsylvania.

Neuronal Nadph Oxidase Is Required For Neurite Regenerationof Aplysia Bag Cell Neurons, S.M. Sabbir Alam, Yuichiro Watanabe, Brooke L. Steeno, Soumyajit Dutta, Halie A. Szilagyi, Alexander Wei, Daniel M. Suter

Department of Chemistry Faculty Publications

NADPH oxidase (Nox), a major source of reactive oxygen species (ROS), is involved in neurodegeneration after injury and disease. Nox is expressed in both neuronal and non-neuronal cells and contributes to an elevated ROS level after injury. Contrary to the well-known damaging effect of Nox-derived ROS in neurodegeneration, recently a physiological role of Nox in nervous system development including neurogenesis, neuronal polarity, and axonal growth has been revealed. Here, we tested a role for neuronal Nox in neurite regeneration following mechanical transection in cultured Aplysia bag cell neurons. Using a novel hydrogen peroxide (H2O2)-sensing dye, 5′-(p-borophenyl)-2′-pyridylthiazole pinacol ester (BPPT), we …

Editorial For "Automated Breast Density Assessment In Mri Using Deep Learning And Radiomics: Strategies For Reducing Inter-Observer Variability"., Pegah Khosravi

Publications and Research

No abstract provided.

Analyzing Low-Abundance Environmental Analytes Using Mass Spectrometry, Anyin Li

Sustainability Seminar Series

Electrospray ionization (ESI) is an indispensable mass spectrometry method for solution phase analytes including environmental contaminants. While MS detectors measure no more than picoamps of ion current, conventional ESI methods produce a minimum of nanoamps (nA) current, wasting a large portion of analytes, and causing non-uniform responses in the analysis.

Recent research has developed methods to generate ESI in femtoamp (fA) currents and femto flow (fL/min) flow rates. When generating nanoscale initial charged droplets, the femto ionization regimes provide improved performances for hydrophilic analytes including glycans, glycopeptide, and intact proteins. This seminar also showcases how the low ion current regime …

Recent Advances In Crispr/Cas9-Assisted Gene Therapy, Apeksha Srivastava, Shikha Chauhan, Vishal Ahuja

Karbala International Journal of Modern Science

CRISPR/Cas9 (Clustered regularly interspaced short palindromic repeats) is an exponentially growing tool with wide-spread applications in therapeutics like gene modifications that focus on altering the hereditary material to repair or eliminate any defective gene-causing diseases like cancer, AIDS (Acquired immunodeficiency syndrome), etc. It also includes the identification of the target sequence with the help of sgRNA followed by the substitution of a malfunction-ing gene with a normal version. It offers high efficiency, specificity, and post-gene-editing efficacy, but have also some off-target impressions, and immunogenic effects. The contribution of CRISPR/Cas9 has already been proved primarily in in-vitro studies using animal germ …

Optical, Structural, And Electrochemical Properties Of P3ht:Y6 Photoactive Layer For Organic Photovoltaics, Hassan Tarikhum B., Furqan Almyahi, Basil Ali

Karbala International Journal of Modern Science

Recently, organic photovoltaics (OPV) have emerged as a promising technology for environmentally friendly energy production. Achieving high performance in OPV requires the discovery of novel compounds. This article aims to study the optical, structural, electrochemical, and electrical properties of a P3HT:Y6 blend. The UV-visible spectra of the blend provided insight into how composition affects the optoelectronic properties of OPV devices. The optimised P3HT:Y6 ratio (0.6:1) resulted in the largest redshift and the highest absorption intensity. Raman and X-ray diffraction tests showed low aggregation and low crystallinity of the polymer P3HT as Y6 content increased. In the OPV devices, the best …

Estimation Of Water Quality Of Dikhu River Of Nagaland Through A Combination Of Water Quality Index And Principal Component Analysis Techniques., Lanuyanger Longchar, Wati Temjen, Khikeya Semy, Wati Lemla

Karbala International Journal of Modern Science

Monitoring the physico-chemical attributes of water is essential for determining water quality. The present study explores the effect of various anthropogenic factors on the quality of Dikhu River, Nagaland. Water samples from three sampling stations were compared against three standards: Indian Council of Medical Research, Bureau of Indian Standards, and World Health Organization. Although all parameters were within the permissible limits, the Water Quality Index categorized all sites during the rainy season as "poor quality", highlighting anthropogenic impacts. A principal component analysis created a Minimum Data Set (MDS) explaining 100%, 93.27%, and 96.26% of the total variance for the three …

Cybervandalism Detection In Wikipedia Using Light Architecture Of 1d-Cnn, Azha Talal Mohammed Ali, Huda Hallawi, Noor D. Al-Shakarchy

Karbala International Journal of Modern Science

The rapid expansion of human-software-agent interaction has come with new issues. Accordingly, different engage-ments are necessary to adapt to changing human needs in dynamic socio-technical systems. Generally, cybervandalism is the act of leaving any negative impact on any piece of writing in an attempt to modify it. In Wikipedia, vandalism is any attempt to modify an article in a way that negatively affects the article's quality. Recently, several automatic detec-tion techniques and related features have been developed to address this issue. This work introduces a deep learning model with a new and light architecture to detect vandalism in Wikipedia articles. …

Dyadosphere Space-Time Of A Charged Black Hole In The Rainbow Gravity And Energy Distribution, Oktay Aydogdu, Mustafa Salti

Karbala International Journal of Modern Science

One is prompted to examine an energy-dependent space-time with significant distortion of standard general relativity through a breach of the Lorentz invariance in high-energy quantum gravity. The present study explores how the energy of a test particle influences the energy density of a charged black hole in the framework of rainbow gravity. In this context, the focus is on investigating the dyadosphere of the black hole, where the space-time fabric is influenced by the energy of the test particle. We also employ graphical analysis to visually illustrate the variations in the black hole’s energy density defined within the framework of …

Performance Analysis And Comparison Of Nonideal Wireless Pbft And Raft Consensus Networks In 6g Communications, Haoxiang Luo, Xiangyue Yang, Hongfang Yu, Gang Sun, Bo Lei, Mohsen Guizani

Machine Learning Faculty Publications

Due to advantages in security and privacy, blockchain is considered a key enabling technology to support 6G communications. Practical Byzantine Fault Tolerance (PBFT) and RAFT are seen as the most applicable consensus mechanisms (CMs) in blockchain-enabled wireless networks. However, previous studies on PBFT and RAFT rarely consider the channel performance of the physical layer, such as path loss and channel fading, resulting in research results that are far from real networks. Additionally, 6G communications will widely deploy high-frequency signals such as terahertz (THz) and millimeter wave (mmWave), while performances of PBFT and RAFT are still unknown when these signals are …

Exploring Parameter Sensitivity Analysis In Mathematical Modeling With Ordinary Differential Equations, Viktoria Savatorova

CODEE Journal

This paper presents an exploration into parameter sensitivity analysis in mathematical modeling using ordinary differential equations (ODEs). Taking the first steps in understanding local sensitivity analysis through the direct differential method and global sensitivity analysis using metrics like Pearson, Spearman, PRCC, and Sobol’, we provide readers with a basic understanding of parameter sensitivity analysis for mathematical modeling using ODEs. As an illustrative application, the system of differential equations modeling population dynamics of several fish species with harvest considerations is utilized. The results of employing local and global sensitivity analysis are compared, shedding light on the strengths and limitations of each …

A Generalized Solution Method To Undamped Constant-Coefficient Second-Order Odes Using Laplace Transforms And Fourier Series, Laurie A. Florio, Ryan D. Hanc

CODEE Journal

A generalized method for solving an undamped second order, linear ordinary differential equation with constant coefficients is presented where the non-homogeneous term of the differential equation is represented by Fourier series and a solution is found through Laplace transforms. This method makes use of a particular partial fraction expansion form for finding the inverse Laplace transform. If a non-homogeneous function meets certain criteria for a Fourier series representation, then this technique can be used as a more automated means to solve the differential equation as transforms for specific functions need not be determined. The combined use of the Fourier series …

Adjusting For Berkson Error In Exposure In Ordinary And Conditional Logistic Regression And In Poisson Regression, Tamer Oraby, Santanu Chakraborty, Siva Sivaganesan, Laurel Kincl, Lesley Richardson, Mary Mcbride, Jack Siemiatycki, Elisabeth Cardis, Daniel Krewski

School of Mathematical & Statistical Sciences Faculty Publications

Background

INTEROCC is a seven-country cohort study of occupational exposures and brain cancer risk, including occupational exposure to electromagnetic fields (EMF). In the absence of data on individual exposures, a Job Exposure Matrix (JEM) may be used to construct likely exposure scenarios in occupational settings. This tool was constructed using statistical summaries of exposure to EMF for various occupational categories for a comparable group of workers.

Methods

In this study, we use the Canadian data from INTEROCC to determine the best EMF exposure surrogate/estimate from three appropriately chosen surrogates from the JEM, along with a fourth surrogate based on Berkson …

Phytochemical Constituent And Antioxidant Activity Evaluation Of Red Seaweed Eucheuma Sp., Ade Arsianti

Indonesian Journal of Medical Chemistry and Bioinformatics

Oxidative stress is a condition in which there is an imbalance between production of free radicals and protective response via antioxidant system. There are endogenous and exogenous antioxidants, however as age increases, there is a reduction in endogenous antioxidant, thus the search for potential exogenous antioxidants which could be derived from natural resources are needed. Indonesia is a megabiodiversity country which has more than 30,000 species of plants and animals. Red seaweed Eucheuma sp. is one of marine macroalgae species which shows potent biological activities. This study aims to determine the phytochemical constituent and to evaluate the antioxidant activity of …

The Accumulation And Growth Of Pseudomonas Aeruginosa On Surfaces Is Modulated By Surface Mechanics Via Cyclic-Di-Gmp Signaling, Liyun Wang, Yu-Chern Wong, Joshua M. Correira, Megan Wancura, Chris J. Geiger, Shanice S. Webster, Ahmed Touhami, Benjamin J. Butler, George A. O’Toole, Richard M. Langford

Physics & Astronomy Faculty Publications

Attachment of bacteria onto a surface, consequent signaling, and accumulation and growth of the surface-bound bacterial population are key initial steps in the formation of pathogenic biofilms. While recent reports have hinted that surface mechanics may affect the accumulation of bacteria on that surface, the processes that underlie bacterial perception of surface mechanics and modulation of accumulation in response to surface mechanics remain largely unknown. We use thin and thick hydrogels coated on glass to create composite materials with different mechanics (higher elasticity for thin composites; lower elasticity for thick composites) but with the same surface adhesivity and chemistry. The …

Scaling Isolated-Attosecond-Pulse Duration By Controlling A Trajectory Parameter, Dian Peng, Jean Marcel Ngoko Djiokap

Department of Physics and Astronomy: Faculty Publications

Reaching an ever shorter duration of isolated attosecond pulses (IAPs) is an ongoing mission in attosecond science. Wide usage of long-wavelength driving lasers has greatly broadened bandwidths for generating IAPs. We propose a strategy to further exploit the ability of a long-wavelength laser in producing short IAPs. We introduce a scaling relationship between IAP duration and a trajectory parameter that is associated with the classical cutoff trajectory of high-order harmonic generation (HHG) in gases. This trajectory parameter can facilitate in shortening IAP duration by shaping laser waveform. We demonstrate the effectiveness of our methods with calculations of HHG from Ne …

How Megatooth Sharks Ruled And Fell: Evidence From Stable Isotopes In Bioapatite, Michael Griffiths

Sustainability Seminar Series

The evolution and extinction of megatooth sharks, especially Otodus megalodon, have long puzzled scientists. A growing body of evidence suggests that the evolution of gigantism in these sharks, perhaps driven by their ability to thermoregulate, played a crucial role in their ecological success and response to environmental changes. Yet, until recently, the question of whether O. megalodon was ectothermic or endothermic was based solely on nonempirical inferences. In this presentation, Dr. Griffiths will present new research that involves the geochemical analysis of both modern and fossil shark teeth to shed light on O. megalodon's thermoregulation, revealing it maintained a warmer …

Service-Oriented Framework For Developing Interoperable E-Health Systems In A Low-Income Country, Bonface Abima, Agnes Nakakawa, Geoffrey Mayoka Kituyi

The African Journal of Information Systems

e-Health solutions in low-income countries are fragmented, address institution-specific needs, and do little to address the strategic need for inter-institutional exchange of health data. Although various e-health interoperability frameworks exist, contextual factors often hinder their effective adoption in low-income countries. This underlines the need to investigate such factors and to use findings to adapt existing e-health interoperability models. Following a design science approach, this research involved conducting an exploratory survey among 90 medical and Information Technology personnel from 67 health facilities in Uganda. Findings were used to derive requirements for e-health interoperability, and to orchestrate elements of a service oriented …

Contemporary Art Authentication With Large-Scale Classification, Todd Dobbs, Abdullah-Al-Raihan Nayeem, Isaac Cho, Zbigniew Ras

Computer Science Faculty and Staff Publications

Art authentication is the process of identifying the artist who created a piece of artwork and is manifested through events of provenance, such as art gallery exhibitions and financial transactions. Art authentication has visual influence via the uniqueness of the artist’s style in contrast to the style of another artist. The significance of this contrast is proportional to the number of artists involved and the degree of uniqueness of an artist’s collection. This visual uniqueness of style can be captured in a mathematical model produced by a machine learning (ML) algorithm on painting images. Art authentication is not always possible …

Scope And Mechanism Of The Ruthenium-Catalyzed Deaminative Coupling Reaction Of Enones With Amines Via Regioselective CΑ–CΒ Bond Cleavage, Marat R. Talipov, Dulanjali S. Thennakoon, Chae S. Yi

Chemistry Faculty Research and Publications

A highly regioselective C–C bond cleavage method of enones has been devised from the ruthenium-catalyzed deaminative coupling reaction with simple amines. The analogous catalytic coupling reaction of enones with anilines has led to a regioselective C_α–C_β bond cleavage of enones in forming N-alkylanilines and 2,4-disubstituted quinolines. The reaction profile study showed the formation of a β-aminoimine intermediate prior to the C–C cleavage product formation. A Hammett plot from the reaction of (E)-2-octen-4-one with a series of para-substituted benzylamines established a strong promotional effect by an electron-donating group (ρ = −0.77 ± 0.1). The …

10.09.2023 Orsp Connect, Liz Williamson

ORED Newsletter

No abstract provided.

Malfe—Malware Feature Engineering Generation Platform, Avinash Singh, Richard Adeyemi Ikuesan, Hein Venter

All Works

The growing sophistication of malware has resulted in diverse challenges, especially among security researchers who are expected to develop mechanisms to thwart these malicious attacks. While security researchers have turned to machine learning to combat this surge in malware attacks and enhance detection and prevention methods, they often encounter limitations when it comes to sourcing malware binaries. This limitation places the burden on malware researchers to create context-specific datasets and detection mechanisms, a time-consuming and intricate process that involves a series of experiments. The lack of accessible analysis reports and a centralized platform for sharing and verifying findings has resulted …

Addressing The Challenges Of Establishing Quality Wastewater Or Non- Sewered Sanitation-Based Surveillance, Including Laboratory And Epidemiological Considerations, In Malawi., Rochelle H. Holm, Ruth Nyirenda, Ted Smith, Petros Chigwechokha

Faculty and Staff Scholarship

Learning from clinical laboratories, wastewater or environmental (including non-sewered sanitation) environmental microbiology laboratories can be established in resource-limited settings that focus on pathogen detection and pandemic prevention. Transparent discussions on the laboratory challenges and adaptations required for this can help meet the future requirements of health research and surveillance. This report aims to describe the challenges encountered when setting up a wastewater or environmental laboratory for multipathogen surveillance in Malawi, a resource-limited setting, as well as the lessons learnt. We identified nine unifying themes: what to monitor, human resource capacity, indicators of data quality, equipment availability, supply of consumable goods, …

Enhancing Exploration-Exploitation In Harmony Search For Airborne Hyperspectral Imaging Band Selection (E3hs), Mohammed Abdulmajeed Moharram, Divya Meena Sundaram

Turkish Journal of Electrical Engineering and Computer Sciences

Hyperspectral imaging has emerged as a prominent area of research in the field of remote sensing science. However, hyperspectral images (HSIs) pose a notable challenge due to the presence of numerous irrelevant and redundant spectral bands exhibiting high correlation. Therefore, it is necessary to enhance the classification performance for HSI processing by selecting the most relevant discriminative spectral bands. To this end, this paper introduces a metaheuristic search method called enhancing exploration-exploitation in harmony search (E3HS). The standard harmony search suffers from many weaknesses, such as premature convergence and falling easily into the local optimum. Consequently, E3HS was proposed to …

Multi-View Brain Tumor Segmentation (Mvbts): An Ensemble Of Planar And Triplanar Attention Unets, Snehal Rajput, Rupal Kapdi, Mehul Raval, Mohendra Roy

Turkish Journal of Electrical Engineering and Computer Sciences

3D UNet has achieved high brain tumor segmentation performance but requires high computation, large memory, abundant training data, and has limited interpretability. As an alternative, the paper explores using 2D triplanar (2.5D) processing, which allows images to be examined individually along axial, sagittal, and coronal planes or together. The individual plane captures spatial relationships, and combined planes capture contextual (depth) information. The paper proposes and analyzes an ensemble of uniplanar and triplanar UNets combined with channel and spatial attention for brain tumor segmentation. It investigates the significance of each plane and analyzes the impact of uniplanar and triplanar ensembles with …

A Unique Hybrid Domain Hand-Crafted Feature To Classify Colorectal Tissue Histopathological Images Using Multiheaded Cnn, Anurodh Kumar, Amit Vishwakarma, Varun Bajaj

Turkish Journal of Electrical Engineering and Computer Sciences

Early diagnosis of colorectal cancer lengthens human life and is helpful in efforts to cure the illness. Histopathological inspection is a routinely utilized technique to diagnose it. Visual assessment of histopathological images takes more investigation time, and the decision is based on the individual perceptions of clinicians. The existing methods for colorectal cancer classification use only spatial information. However, studies on the spectral domains of information are lacking in the literature. Therefore, the performance of the existing techniques is moderate. To improve the performance of colorectal cancer classification, this work proposes a unique hybrid domain hand-crafted feature formulated using scale-invariant …

Hybrid Machine Learning Model To Predict Chronic Kidney Diseases Using Handcrafted Features For Early Health Rehabilitation, Amjad Rehman, Tanzila Saba, Haider Ali, Narmine Elhakim, Noor Ayesha

Turkish Journal of Electrical Engineering and Computer Sciences

Chronic kidney diseases proliferate due to hypertension, diabetes, anemia, obesity, smoking etc. Patients with such conditions are sometimes unaware of first symptoms, complicating disease diagnosis. This paper presents chronic kidney disease (CKD) prediction model to classify CKD patients from NCKD (Non-CKD). The proposed study has two main stages. First, we found the odds ratio through logistic regression and comparison test to identify early risk factors from kidneys? MRI and differentiate CKD from NCKD subjects. In stage 2, LR, LDA, MLP classifiers were applied to predict CKD and NCKD by extracting features from MRI. The odds ratio of blood glucose random …

Cognitive Digital Modelling For Hyperspectral Image Classification Using Transfer Learning Model, Mohammad Shabaz, Mukesh Soni

Turkish Journal of Electrical Engineering and Computer Sciences

Deep convolutional neural networks can fully use the intrinsic relationship between features and improve the separability of hyperspectral images, which has received extensive in recent years. However, the need for a large number of labelled samples to train deep network models limits the application of such methods. The idea of transfer learning is introduced into remote sensing image classification to reduce the need for the number of labelled samples. In particular, the situation in which each class in the target picture only has one labelled sample is investigated. In the target domain, the number of training samples is enlarged by …