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Revealing Gene Regulation-Based Neural Network Computing In Bacteria, Samitha S. Somathilaka, Sasitharan Balasubramaniam, Daniel P. Martins, Xu Li Sep 2023

Revealing Gene Regulation-Based Neural Network Computing In Bacteria, Samitha S. Somathilaka, Sasitharan Balasubramaniam, Daniel P. Martins, Xu Li

School of Computing: Faculty Publications

Bacteria are known to interpret a range of external molecular signals that are crucial for sensing environmental conditions and adapting their behaviors accordingly. These external signals are processed through a multitude of signaling transduction networks that include the gene regulatory network (GRN). From close observation, the GRN resembles and exhibits structural and functional properties that are similar to artificial neural networks. An in-depth analysis of gene expression dynamics further provides a new viewpoint of characterizing the inherited computing properties underlying the GRN of bacteria despite being non-neuronal organisms. In this study, we introduce a model to quantify the gene-to-gene interaction …

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Sctiger: A Deep-Learning Method For Inferring Gene Regulatory Networks From Single-Cell Gene Expression Data, Madison Dautle Sep 2023

Sctiger: A Deep-Learning Method For Inferring Gene Regulatory Networks From Single-Cell Gene Expression Data, Madison Dautle

Theses and Dissertations

Inferring gene regulatory networks (GRNs) from single-cell RNA-sequencing (scRNA-seq) data is an important computational question to reveal fundamental regulatory mechanisms. Although many computational methods have been designed to predict GRNs, none work on condition specific GRNs by directly using paired datasets of case versus control experiments, common in diverse biological research projects. We present a novel deep-learning based method, scTIGER, for GRN detection by using the co-dynamics of gene expression. scTIGER also employs cell type-based pseudotiming, an attention-based convolutional neural network method, and permutation-based significance testing to infer GRNs from gene modules. We first applied scTIGER to scRNA-seq datasets of …

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Transhuman Bodies: A Survey Of Three Avenues Of Societal Critique From Literature With Cyborg, Android, And Clone Subjects, Wesley Sanders Sep 2023

Transhuman Bodies: A Survey Of Three Avenues Of Societal Critique From Literature With Cyborg, Android, And Clone Subjects, Wesley Sanders

Student Theses and Dissertations

This thesis seeks to explore three different avenues of societal critique using works in Science Fiction which have as their subjects cyborgs, androids, or clones. In the thesis, I begin by addressing the unique way SF literature comments on gender politics through the use of objectified cyborgs and androids, typically with male creators and would be male masters. Following this, I explore the concept of a semiotic liminality surrounding cyborgs and androids and illustrate how that liminality complicates conceptions of what constitutes a living creature. Finally, the thesis shifts to the commodification of the cyborg where I attempt to illustrate …

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Hydrothermal Carbonization Of Biomass Wastes: Sustainability And Geochemistry, Michael A. Kruge, Teresa A. Centeno, Alvaro Amado-Fierro, José Manuel González-Lafuente, Ruben Forjan-Castro, José Luis Gallego Sep 2023

Hydrothermal Carbonization Of Biomass Wastes: Sustainability And Geochemistry, Michael A. Kruge, Teresa A. Centeno, Alvaro Amado-Fierro, José Manuel González-Lafuente, Ruben Forjan-Castro, José Luis Gallego

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Introduction. To reduce the stream of solid waste going to landfills, innovative means for beneficial use are essential. The diversity and volume of organic wastes pose singular problems and opportunities for recovery and circularity. Common processes for organics include conversion to biofuels and carbonization to biochar, typically done by torrefaction (dry pyrolysis). Research on biochar explores its potential as pollutant adsorbent, agricultural or polluted soil amendment, biofuel (directly or as feedstock), and for carbon sequestration (Ighalo et al., 2022; Cavali et al., 2023). Recently, other processes at lower temperatures such as hydrothermal carbonization (HTC) offer new possibilities (Seshadri et al., …

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A Novel Fuzzy Relative-Position-Coding Transformer For Breast Cancer Diagnosis Using Ultrasonography, Yanhui Guo, Ruquan Jiang, Xin Gu, Heng-Da Cheng, Harish Garg Sep 2023

A Novel Fuzzy Relative-Position-Coding Transformer For Breast Cancer Diagnosis Using Ultrasonography, Yanhui Guo, Ruquan Jiang, Xin Gu, Heng-Da Cheng, Harish Garg

Computer Science Faculty and Staff Publications

Breast cancer is a leading cause of death in women worldwide, and early detection is crucial for successful treatment. Computer-aided diagnosis (CAD) systems have been developed to assist doctors in identifying breast cancer on ultrasound images. In this paper, we propose a novel fuzzy relative-position-coding (FRPC) Transformer to classify breast ultrasound (BUS) images for breast cancer diagnosis. The proposed FRPC Transformer utilizes the self-attention mechanism of Transformer networks combined with fuzzy relative-position-coding to capture global and local features of the BUS images. The performance of the proposed method is evaluated on one benchmark dataset and compared with those obtained by …

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Predictors Of Pharmacy Students' Attitudes About The Therapeutic Use Of Psilocybin, Nm Mahmudul Alam Bhuiya, Robin J. Jacobs, Karina Wang, Yiqun Sun, Brenda Nava, Luke Sampiere, Akhila Yerubandi, Joshua Caballero Sep 2023

Predictors Of Pharmacy Students' Attitudes About The Therapeutic Use Of Psilocybin, Nm Mahmudul Alam Bhuiya, Robin J. Jacobs, Karina Wang, Yiqun Sun, Brenda Nava, Luke Sampiere, Akhila Yerubandi, Joshua Caballero

HPD Articles

Background Psilocybin has been studied for its potential therapeutic benefits, particularly for the treatment of psychiatric disorders such as anxiety, depression, and obsessive-compulsive disorder. While more research is needed as psilocybin-assisted therapy becomes more prevalent, future pharmacists will probably be involved at some level. At present, pharmacists receive minimal training on psilocybin, and little is known about their attitudes toward its use for medical purposes. Findings from recent clinical studies have attempted to establish the safety and medical efficacy of psilocybin, leading to an increased interest in therapeutic psilocybin use in the United States. This study aimed to assess if …

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September 13, 2023 Faculty Senate Minutes, University Of South Carolina Sep 2023

September 13, 2023 Faculty Senate Minutes, University Of South Carolina

Faculty Senate

No abstract provided.

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Should My Next Car Be An Ev?, Lorenzo Cena Sep 2023

Should My Next Car Be An Ev?, Lorenzo Cena

Sustainability Research & Practice Seminar Presentations

Sustainability Research & Practice Seminar on "Should My Next Car Be An EV?" by Professor Lorenzo Cena, Environmental Health Program, Department of Public Health Sciences, West Chester University of Pennsylvania.

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Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Buffalo Gulch Forebay Parcel 2023 Expedited Well Abandonment Plan (Dated August 21, 2023, Nikia Greene Sep 2023

Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Buffalo Gulch Forebay Parcel 2023 Expedited Well Abandonment Plan (Dated August 21, 2023, Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Bnsf And Union Pacific Butte Priority Soils Operating Unit Activity Report - August 2023 Unilateral Administrative Order-Docket No. Cercla 08-2011-0011 Kj 2399019*00, Doug Brannan P.E. Sep 2023

Bnsf And Union Pacific Butte Priority Soils Operating Unit Activity Report - August 2023 Unilateral Administrative Order-Docket No. Cercla 08-2011-0011 Kj 2399019*00, Doug Brannan P.E.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Subject: Bnsf And Union Pacific Butte Priority Soils Operating Unit Activity Report - August 2023 Unilateral Administrative Order-Docket No. Cercla 08-2011-0011 Kj 2399019*00, Doug Brannan P.E. Sep 2023

Subject: Bnsf And Union Pacific Butte Priority Soils Operating Unit Activity Report - August 2023 Unilateral Administrative Order-Docket No. Cercla 08-2011-0011 Kj 2399019*00, Doug Brannan P.E.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Solvatochromic And Aggregation-Induced Emission Active Nitrophenyl-Substituted Pyrrolidinone-Fused-1,2-Azaborine With A Pre-Twisted Molecular Geometry, Albert D. Campbell Jr., Kaia Ellis, Lyric K. Gordon, Janiyah E. Riley, Robert B. Hughley, Adeline M. Boswell, Ophelia Adjei-Sah, Prioska D. Baruah, Ra’Nya Malone, Carl Saint-Louis Sep 2023

Solvatochromic And Aggregation-Induced Emission Active Nitrophenyl-Substituted Pyrrolidinone-Fused-1,2-Azaborine With A Pre-Twisted Molecular Geometry, Albert D. Campbell Jr., Kaia Ellis, Lyric K. Gordon, Janiyah E. Riley, Robert B. Hughley, Adeline M. Boswell, Ophelia Adjei-Sah, Prioska D. Baruah, Ra’Nya Malone, Carl Saint-Louis

Faculty Articles

Boron–nitrogen-containing heterocycles with extended conjugated π-systems such as polycyclic aromatic 1,2-azaborines, hold the fascination of organic chemists due to their unique optoelectronic properties. However, the majority of polycyclic aromatic 1,2-azaborines aggregate at high concentrations or in the solid-state, resulting in aggregation-caused quenching (ACQ) of emission. This practical limitation poses significant challenges for polycyclic aromatic 1,2-azaborines’ use in many applications. Additionally, only a few solvatochromic polycyclic aromatic 1,2-azaborines have been reported and they all display minimal solvatochromism. Therefore, the scope of available polycyclic 1,2-azaborines needs to be expanded to include those displaying fluorescence at high concentration and in the solid-state as …

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“‘Normal Is What We Make It, Right?’ Ordinary Aesthetics And Uncanny Twists In Contemporary Tv Series.", Jeroen Gerrits Sep 2023

“‘Normal Is What We Make It, Right?’ Ordinary Aesthetics And Uncanny Twists In Contemporary Tv Series.", Jeroen Gerrits

Comparative Literature Faculty and Student Scholarship

Contemporary TV shows, characterized by their complex narrative form, are designed to reveal the simple. They enable characters and viewers alike to discover the ordinary by coupling the everyday to an underworld populated by criminals, demons, vampires, and other kinds of “lowlifes.” I will argue here that the structure of the Möbius strip, or Escher twist, draws a particular aesthetic appeal at the intersection of these worlds. I call these twists uncanny in the Cavellian sense that the underworld, looking strangely familiar, has the capacity of making the ordinary look unfamiliar, inherently strange, and unstable. Rather than allowing us to …

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Better Models For High-Stakes Tasks, Jacob Ryan Epifano Sep 2023

Better Models For High-Stakes Tasks, Jacob Ryan Epifano

Theses and Dissertations

The intersection of machine learning and healthcare has the potential to transform medical diagnosis, treatment, and research. Machine learning models can analyze vast amounts of medical data and identify patterns that may be too complex for human analysis. However, one of the major challenges in this field is building trust between users and the model. Due to things like high false alarm rate and the black box nature of machine learning models, patients and medical professionals need to understand how the model arrives at its recommendations. In this work, we present several methods that aim to improve machine learning models …

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Analysis Of The Drivers Of Industry 4.0 Technology Deployment To Achieve Agri-Food Supply Chain Sustainability: A Hybrid Approach, Guoqing Zhao, Paul Jones, Shaofeng Liu, Carmen Lopez, Denis Dennehy, Xiaoning Chen Sep 2023

Analysis Of The Drivers Of Industry 4.0 Technology Deployment To Achieve Agri-Food Supply Chain Sustainability: A Hybrid Approach, Guoqing Zhao, Paul Jones, Shaofeng Liu, Carmen Lopez, Denis Dennehy, Xiaoning Chen

Plymouth Business School

Agri-food supply chains (AFSCs) are struggling to achieve sustainability in the face of increasing social, environmental, and economic challenges. Industry 4.0 technologies are widely deployed to monitor, assess, and analyze their operational process, and thereby drive sustainable value. This study adopts a hybrid approach to analyze the drivers of industry 4.0 technology deployment to achieve AFSC sustainability. Thematic analysis of 24 interviews was carried out to identify 13 drivers, and these were used as inputs into the fuzzy analytic hierarchy process (AHP), total interpretive structural modeling (TISM), and fuzzy cross-impact matrix multiplications applied to classification (MICMAC). The results show that …

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Radio-Pathomic Approaches In Pediatric Neurooncology: Opportunities And Challenges, Ariana M. Familiar, Aria Mahtabfar, Anahita Fathi Kazerooni, Mahsa Kiani, Arastoo Vossough, Angela Viaene, Philip B. Storm, Adam C. Resnick, Ali Nabavizadeh Sep 2023

Radio-Pathomic Approaches In Pediatric Neurooncology: Opportunities And Challenges, Ariana M. Familiar, Aria Mahtabfar, Anahita Fathi Kazerooni, Mahsa Kiani, Arastoo Vossough, Angela Viaene, Philip B. Storm, Adam C. Resnick, Ali Nabavizadeh

Department of Neurosurgery Faculty Papers

With medical software platforms moving to cloud environments with scalable storage and computing, the translation of predictive artificial intelligence (AI) models to aid in clinical decision-making and facilitate personalized medicine for cancer patients is becoming a reality. Medical imaging, namely radiologic and histologic images, has immense analytical potential in neuro-oncology, and models utilizing integrated radiomic and pathomic data may yield a synergistic effect and provide a new modality for precision medicine. At the same time, the ability to harness multi-modal data is met with challenges in aggregating data across medical departments and institutions, as well as significant complexity in modeling …

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Phenyl Acrylate-Based Cross-Linked Anion Exchange Membranes For Non-Aqueous Redox Flow Batteries, Md Motiur R. Mazumder, Rohit G. Jadhav, Shelley D. Minteer Sep 2023

Phenyl Acrylate-Based Cross-Linked Anion Exchange Membranes For Non-Aqueous Redox Flow Batteries, Md Motiur R. Mazumder, Rohit G. Jadhav, Shelley D. Minteer

Chemistry Faculty Research & Creative Works

Redox flow batteries (RFBs) are of recent interest to store harvested renewable energy for improving grid reliability and utilization. in this study, we synthesized and characterized a series of phenyl acrylate-Based UV-cross-linked anion exchange membranes (AEMs) and explored the performance of these AEMs in a model non-aqueous RFB under model conditions. Infrared spectroscopy was utilized to confirm the incorporation of ion carriers in the phenyl acrylate backbone. the electrochemical performance was compared with the commercial Fumasep membrane Fuma-375 based on high stability in non-aqueous solvents, high permeability to the charge-carrying ion, low resistance, low crossover of the redox-active molecules, and …

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From Random To Rational: Improving Enzyme Design Through Electric Fields, Second Coordination Sphere Interactions, And Conformational Dynamics, Shobhit S. Chaturvedi, Daniel Bím, Christo Christov, Anastassia N. Alexandrova Sep 2023

From Random To Rational: Improving Enzyme Design Through Electric Fields, Second Coordination Sphere Interactions, And Conformational Dynamics, Shobhit S. Chaturvedi, Daniel Bím, Christo Christov, Anastassia N. Alexandrova

Michigan Tech Publications

Enzymes are versatile and efficient biological catalysts that drive numerous cellular processes, motivating the development of enzyme design approaches to tailor catalysts for diverse applications. In this perspective, we investigate the unique properties of natural, evolved, and designed enzymes, recognizing their strengths and shortcomings. We highlight the challenges and limitations of current enzyme design protocols, with a particular focus on their limited consideration of long-range electrostatic and dynamic effects. We then delve deeper into the impact of the protein environment on enzyme catalysis and explore the roles of preorganized electric fields, second coordination sphere interactions, and protein dynamics for enzyme …

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Consequences And Incentives Of Fair Learning, Andrew Estornell Sep 2023

Consequences And Incentives Of Fair Learning, Andrew Estornell

McKelvey School of Engineering Graduate Student Theses & Dissertations

As algorithmic decision-making systems become increasingly entrenched in human-centric domains such as hiring and lending, it is crucial that these systems do not perpetuate historical bias or unfairly discriminate against sensitive demographics. However, in these domains, considering group fairness as the sole factor often leads to two significant consequences: 1) incentivizing individuals to strategically alter their behavior to obtain desired outcomes (e.g., hiding debt to qualify for a loan), and 2) achieving fairness at the expense of individual welfare (e.g., equalizing lending rates between groups by offering fewer total loans). We explore these consequences from both theoretical and empirical perspectives …

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Enhanced Shortwave Absorption And Rapid Covid-19 Spread: A Tale Of Two Aerosol-Driven Impacts, Payton Beeler Sep 2023

Enhanced Shortwave Absorption And Rapid Covid-19 Spread: A Tale Of Two Aerosol-Driven Impacts, Payton Beeler

McKelvey School of Engineering Graduate Student Theses & Dissertations

Aerosols have a major influence on Earth’s climate and cause adverse health effects by degrading ambient air quality. Aerosols impact Earth’s climate directly, by scattering and absorbing incoming shortwave radiation, and indirectly by altering cloud optical properties, cloud formation, and precipitation. Uncertainties in our understanding of these processes limit our current knowledge about the effect of aerosols on Earth’s climate. Poor air quality is globally the largest environmental health risk. Epidemiological studies have uncovered clear relationships of gaseous pollutants and particulate matter (PM) with adverse health outcomes, including increased risk of cardiovascular and respiratory diseases. However, the effects of PM …

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The Effects Of Various Lake Typologies On The Distribution Of Chironomus Spp. (Diptera), And Arguments On Optional Factors Of Water Framework Directive In Turkiye, Recep Bakir, Gürçay Kivanç Akyildiz, Mustafa Duran Sep 2023

The Effects Of Various Lake Typologies On The Distribution Of Chironomus Spp. (Diptera), And Arguments On Optional Factors Of Water Framework Directive In Turkiye, Recep Bakir, Gürçay Kivanç Akyildiz, Mustafa Duran

Turkish Journal of Zoology

No abstract provided.

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A Multi-Scale Feature Attention Image Recognition Algorithm, Xin Ming Yuan, Ang Ling Weay, Sellappan Palaniappan Sep 2023

A Multi-Scale Feature Attention Image Recognition Algorithm, Xin Ming Yuan, Ang Ling Weay, Sellappan Palaniappan

Journal of Informatics and Web Engineering

The success of image classification using small samples is contingent on neural network models' capability to derive image representations from the data. A proposed solution is a small-sample image classification system that leverages attention mechanisms and meta-learning to capture more comprehensive image information. Due to its ability to efficiently suppress irrelevant characteristics and accentuate pertinent ones, this technique may extract more robust multiscale features and enhance classification performance through meta-learning.In this paper, the effectiveness of the multi-scale attention network is verified on two datasets, namely, Mini-ImageNet and Tiered-ImageNet, and the accuracy of the method is 58.54% for 5-way 1shot and …

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Dropout Prediction Model For College Students In Moocs Based On Weighted Multi-Feature And Svm, Zhang Yujiao, Ang Ling Weay, Shi Shaomin, Sellappan Palaniappan Sep 2023

Dropout Prediction Model For College Students In Moocs Based On Weighted Multi-Feature And Svm, Zhang Yujiao, Ang Ling Weay, Shi Shaomin, Sellappan Palaniappan

Journal of Informatics and Web Engineering

Due to the COVID -19 pandemic, MOOCs have become a popular form of learning for college students. However, unlike traditional face-to-face courses, MOOCs offer little faculty supervision, which may result in students being insufficiently motivated to continue learning, ultimately leading to a high dropout rate. Consequently, the problem of high dropout rates in MOOCs requires urgent attention in MOOC research. Predicting dropout rates is the first step to address this problem, and MOOCs have a large amount of behavioral data that can be used for such predictions. Most existing models for predicting MOOC dropout based on behavioral data assign equal …

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Predicting Travel Insurance Purchases In An Insurance Firm Through Machine Learning Methods After Covid-19, Shiuh Tong Lim, Joe Yee Yuan, Khai Wah Khaw, Xinying Chew Sep 2023

Predicting Travel Insurance Purchases In An Insurance Firm Through Machine Learning Methods After Covid-19, Shiuh Tong Lim, Joe Yee Yuan, Khai Wah Khaw, Xinying Chew

Journal of Informatics and Web Engineering

Travel insurance serves as a crucial financial safeguard, offering coverage against unforeseen expenses and losses incurred during travel. With the advent of the proliferation of insurance types and the amplified demand for Covid-related coverage, insurance companies face the imperative task of accurately predicting customers’ likelihood to purchase insurance. This can assist the insurance providers in focusing on the most lucrative clients and boosting sales. By employing advanced machine learning techniques, this study aims to forecast the consumer segments most inclined to acquire travel insurance, allowing targeted strategies to be developed. A comprehensive analysis was carried out on a Kaggle dataset …

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Building Cyber Resilience: Key Factors For Enhancing Organizational Cyber Security, Thavaselvi Munusamy, Touraj Khodadi Sep 2023

Building Cyber Resilience: Key Factors For Enhancing Organizational Cyber Security, Thavaselvi Munusamy, Touraj Khodadi

Journal of Informatics and Web Engineering

The increasingly pervasive influence of technology on a global scale, coupled with the accelerating pace of organizations operating in cyberspace, has intensified the need for adequate protection against the risks posed by cyber threats. This paper aims to identify cyber resilience management attributes that can enable organizations to sustain and continually adapt in the face of evolving cyber risks and threats. The researcher explores the intersections between cybersecurity and resilience by reviewing existing frameworks, models, studies, and surveys. This study establishes the attributes of resilience with the integration of resilience theory and security theory, along with their position in the …

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Aira: An Intelligent Recommendation Agent Application For Movies, Ayesha Anees Zaveri, Ramsha Mashood, Sarama Shehmir, Misbah Parveen, Naveera Sami, Mobeen Nazar Sep 2023

Aira: An Intelligent Recommendation Agent Application For Movies, Ayesha Anees Zaveri, Ramsha Mashood, Sarama Shehmir, Misbah Parveen, Naveera Sami, Mobeen Nazar

Journal of Informatics and Web Engineering

An intelligent Recommendation App has been developed to assist caregivers. This project's primary objective is to assist parents in determining whether a particular movie/cartoon/drama is adequate for their children by providing ratings that will assist them in identifying age-appropriate content. This application will provide reliable evaluations, reviews, and recommendations to parents. Each rating and review are based on fundamental, essential child development principles. Intelligent Recommendation Agent aids families in making intelligent media selections. It provides the most extensive and reliable database of learning ratings, age recommendations, and content evaluations for films, television series, and dramas. In addition, there will be …

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The Assistance Of Eye Blink Detection For Two- Factor Authentication, Wei-Hoong Chuah, Siew-Chin Chong, Lee-Ying Chong Sep 2023

The Assistance Of Eye Blink Detection For Two- Factor Authentication, Wei-Hoong Chuah, Siew-Chin Chong, Lee-Ying Chong

Journal of Informatics and Web Engineering

This paper discusses the implementation of a blink detection method using 68 facial markers and the eye aspect ratio (EAR) to provide strong protection for access systems. It investigates the importance of 68 facial markers and explores how to use eye landmarks to calculate the eye aspect ratio. Access systems, which should have good security measures and be difficult to decipher, are typically safeguarded by passwords or multi-factor verification, such as passwords combined with facial recognition. However, these methods have inherent weaknesses, including the risk of shoulder surfing with passwords and the potential to be deceived by fake face images …

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Genregait: Gender Recognition Using Gait Features, Yue Fong Ti, Tee Connie, Michael Kah Ong Goh Sep 2023

Genregait: Gender Recognition Using Gait Features, Yue Fong Ti, Tee Connie, Michael Kah Ong Goh

Journal of Informatics and Web Engineering

Gender recognition based on gait features has gained significant interest due to its wide range of applications in various fields. This paper proposes GenReGait, a robust method for gender recognition utilizing gait features. Gait, the unique walking pattern of individuals, contains distinct gender-specific characteristics, such as stride length, step frequency, and body posture, making it a promising modality for gender estimation. The proposed GenReGait method begins by extracting landmark positions on the human body using a human keypoint estimation technique. These landmarks serve as informative cues for estimating gender based on their spatial and temporal characteristics. However, environmental factors can …

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Analysing Gamma Frequency Components In Eeg Signals: A Comprehensive Extraction Approach, Tanvir Hasib, Vijayakumar Vengadasalam Sep 2023

Analysing Gamma Frequency Components In Eeg Signals: A Comprehensive Extraction Approach, Tanvir Hasib, Vijayakumar Vengadasalam

Journal of Informatics and Web Engineering

Gamma band activity is a high-frequency (30-100 Hz) oscillation of the electroencephalogram (EEG) that has been linked to a variety of cognitive processes including attention, memory and learning. However, extracting gamma band activity from EEG data can be challenging due to the relatively low signal-to-noise ratio of gamma band signals and the presence of other frequency bands such as beta and alpha. In this paper, we present a method for extracting gamma band activity from EEG data. We evaluated our method on a dataset of EEG data recorded from dyslexic patients. We found that our method was able to successfully …

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Ensuring Privacy And Security On Banking Websites In Malaysia: A Cookies Scanner Solution, Yi Hong Tay, Shih Yin Ooi, Ying Han Pang, Ying Huey Gan, Sook Ling Lew Sep 2023

Ensuring Privacy And Security On Banking Websites In Malaysia: A Cookies Scanner Solution, Yi Hong Tay, Shih Yin Ooi, Ying Han Pang, Ying Huey Gan, Sook Ling Lew

Journal of Informatics and Web Engineering

In this new era of science and technology, data can be said to be an extremely valuable asset for individuals, corporations, and even countries. Different parties attempt to obtain users' data occasionally, and the collection of web cookies is a prominent example. When users use a computer network, their data will be saved by the web server as cookies, including their private information. As people with bad intentions obtain this information, they can use it to commit cybercrimes and cause losses to the information owners. Thus, cookies management is vital for web users to protect their data. This paper proposes …

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