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View article: Connected group work
Connected group work Open
Group work is widely used in tertiary education to develop collaboration, develop teamwork and communication skills, and manage large class sizes. It supports active learning and often leads to higher engagement and improved learning outco…
View article: Magnetosome organelles are organized through interactions between McaA and McaB that alter the dynamics of the bacterial actin-like protein MamK
Magnetosome organelles are organized through interactions between McaA and McaB that alter the dynamics of the bacterial actin-like protein MamK Open
Magnetotactic bacteria (MTB) are a group of Gram-negative species that produce a lipid-bounded organelle, the magnetosome, in which a magnetic crystal is biomineralized. MTB use magnetosomes to align with the geomagnetic field for improved…
View article: Learning World Models for Interactive Video Generation
Learning World Models for Interactive Video Generation Open
Foundational world models must be both interactive and preserve spatiotemporal coherence for effective future planning with action choices. However, present models for long video generation have limited inherent world modeling capabilities…
View article: Intraocular Inflammation, Safety Events, and Outcomes After Intravitreal Injection of Ranibizumab, Aflibercept, Brolucizumab, Abicipar Pegol, and Faricimab for nAMD
Intraocular Inflammation, Safety Events, and Outcomes After Intravitreal Injection of Ranibizumab, Aflibercept, Brolucizumab, Abicipar Pegol, and Faricimab for nAMD Open
Purpose: To compare the rates of intraocular inflammation (IOI) in patients with neovascular age-related macular degeneration (nAMD) after injection of intravitreal (IVT) antivascular endothelial growth factor drugs. Methods: This study in…
View article: ConvShareViT: Enhancing Vision Transformers with Convolutional Attention Mechanisms for Free-Space Optical Accelerators
ConvShareViT: Enhancing Vision Transformers with Convolutional Attention Mechanisms for Free-Space Optical Accelerators Open
This paper introduces ConvShareViT, a novel deep learning architecture that adapts Vision Transformers (ViTs) to the 4f free-space optical system. ConvShareViT replaces linear layers in multi-head self-attention (MHSA) and Multilayer Perce…
View article: A synergistic approach for enhanced eye blink detection using wavelet analysis, autoencoding and Crow-Search optimized k-NN algorithm
A synergistic approach for enhanced eye blink detection using wavelet analysis, autoencoding and Crow-Search optimized k-NN algorithm Open
This research endeavor introduces a state-of-the-art, assimilated approach for eye blink detection from Electroencephalography signals. It combines the prominent strategies of wavelet analysis, autoencoding, and a Crow-Search-optimized k-N…
View article: Application of Lenstra–Lenstra–Lovasz on Elliptic Curve Cryptosystem Using IOT Sensor Nodes
Application of Lenstra–Lenstra–Lovasz on Elliptic Curve Cryptosystem Using IOT Sensor Nodes Open
The Internet of Things (IoT) model is presented in this paper with multi-layer security based on the Lenstra-Lenstra-Lovasz (LLL) algorithm. End nodes for the Internet of Things include inexpensive gadgets like the Raspberry Pi and Arduino…
View article: Adaptive Multi-Objective Energy Management Strategy Considering the Differentiated Demands of Distribution Networks with a High Proportion of New-Generation Sources and Loads
Adaptive Multi-Objective Energy Management Strategy Considering the Differentiated Demands of Distribution Networks with a High Proportion of New-Generation Sources and Loads Open
View article: Testing and Masking Policies and Hospital-Onset Respiratory Viral Infections
Testing and Masking Policies and Hospital-Onset Respiratory Viral Infections Open
This cohort study examines the ratio between hospital- and community-onset respiratory viral infections at different levels of testing and masking from 2020 to 2024.
View article: A Synergistic Approach for Enhanced Eye Blink Detection using Wavelet Analysis, Autoencoding and Crow-Search Optimized k-NN Algorithm
A Synergistic Approach for Enhanced Eye Blink Detection using Wavelet Analysis, Autoencoding and Crow-Search Optimized k-NN Algorithm Open
This research endeavour introduces a state-of-the-art, assimilated approach for eye blink detection from Electroencephalography (EEG) signals. It combines the prominent strategies of wavelet analysis, autoencoding, and a Crow-Search-optimi…
View article: A Microphysiological System for Studying Barrier Health of Live Tissues in Real Time
A Microphysiological System for Studying Barrier Health of Live Tissues in Real Time Open
Epithelial cells create barriers that protect many different components in the body from their external environment. The gut in particular carries bacteria and other infectious agents. A healthy gut epithelial barrier prevents unwanted sub…
View article: ESASCF: Expertise Extraction, Generalization and Reply Framework for an Optimized Automation of Network Security Compliance
ESASCF: Expertise Extraction, Generalization and Reply Framework for an Optimized Automation of Network Security Compliance Open
The Cyber threats exposure has created worldwide pressure on organizations to comply with cyber security standards and policies for protecting their digital assets. Vulnerability assessment (VA) and Penetration Testing (PT) are widely adop…
View article: The burden of incidental SARS-CoV-2 infections in hospitalized patients across pandemic waves in Canada
The burden of incidental SARS-CoV-2 infections in hospitalized patients across pandemic waves in Canada Open
Many health authorities differentiate hospitalizations in patients infected with SARS-CoV-2 as being “for COVID-19” (due to direct manifestations of SARS-CoV-2 infection) versus being an “incidental” finding in someone admitted for an unre…
View article: FatNet: High-Resolution Kernels for Classification Using Fully Convolutional Optical Neural Networks
FatNet: High-Resolution Kernels for Classification Using Fully Convolutional Optical Neural Networks Open
This paper describes the transformation of a traditional in silico classification network into an optical fully convolutional neural network with high-resolution feature maps and kernels. When using the free-space 4f system to accelerate t…
View article: Recommending Low-Cost Compact Space Environment and Space Weather Effects Sensor Suites for NASA Missions
Recommending Low-Cost Compact Space Environment and Space Weather Effects Sensor Suites for NASA Missions Open
As miniaturized spacecraft (e.g., cubesats and smallsats) and instrumentation become an increasingly indispensable part of space exploration and scientific investigations, it is important to understand their potential susceptibility to spa…
View article: Clinical assessment of a novel machine‐learning automated contouring tool for radiotherapy planning
Clinical assessment of a novel machine‐learning automated contouring tool for radiotherapy planning Open
Contouring has become an increasingly important aspect of radiotherapy due to inverse planning. Several studies have suggested that the clinical implementation of automated contouring tools can reduce inter‐observer variation while increas…
View article: ESASCF: Expertise Extraction, Generalization and Reply Framework for Optimized Automation of Network Security Compliance
ESASCF: Expertise Extraction, Generalization and Reply Framework for Optimized Automation of Network Security Compliance Open
Organizations constantly exposed to cyber threats are compelled to comply with cyber security standards and policies for protecting their digital assets. Vulnerability assessment (VA) and penetration testing (PT) are widely adopted methods…
View article: A Descriptive Analysis of the Relationship between Social Media Use and Vaccine Hesitancy among a Sample of Unvaccinated Adults in Canada
A Descriptive Analysis of the Relationship between Social Media Use and Vaccine Hesitancy among a Sample of Unvaccinated Adults in Canada Open
Both traditional and social media information sources have disseminated information on the COVID-19 pandemic. The content shared may influence public opinion on different mitigation strategies, including vaccination. Misinformation can alt…
View article: FatNet: High Resolution Kernels for Classification Using Fully Convolutional Optical Neural Networks
FatNet: High Resolution Kernels for Classification Using Fully Convolutional Optical Neural Networks Open
This paper describes the transformation of a traditional in-silico classification network into an optical fully convolutional neural network with high-resolution feature maps and kernels. When using the free-space 4f system to accelerate t…
View article: Hierarchical reinforcement learning for efficient and effective automated penetration testing of large networks
Hierarchical reinforcement learning for efficient and effective automated penetration testing of large networks Open
Penetration testing (PT) is a method for assessing and evaluating the security of digital assets by planning, generating, and executing possible attacks that aim to discover and exploit vulnerabilities. In large networks, penetration testi…
View article: DS-SWIPT: Secure Communication with Wireless Power Transfer for Internet of Things
DS-SWIPT: Secure Communication with Wireless Power Transfer for Internet of Things Open
Internet of Things (IoT) is promptly spreading and reaching a series of domains, including many industrial applications designed for monitoring purposes. In such networks, sensitive information is being collected and transmitted by IoT dev…
View article: Hierarchical Reinforcement Learning for Efficient and Effective Automated Penetration Testing of Large Networks
Hierarchical Reinforcement Learning for Efficient and Effective Automated Penetration Testing of Large Networks Open
Penetration testing (PT) is a method for assessing and evaluating the security of digital assets by planning, generating, and executing possible attacks that aim to discover and exploit vulnerabilities. In large networks, penetration testi…
View article: Oocyte metabolic function, lipid composition, and developmental potential are altered by diet in older mares
Oocyte metabolic function, lipid composition, and developmental potential are altered by diet in older mares Open
Dietary supplementation is the most feasible method to improve oocyte function and developmental potential in vivo . During three experiments, oocytes were collected from maturing, dominant follicles of older mares to determine whether sho…
View article: Resource-Conserving Protection against Energy Draining (RCPED) Routing Protocol for Wireless Sensor Networks
Resource-Conserving Protection against Energy Draining (RCPED) Routing Protocol for Wireless Sensor Networks Open
This paper proposes a routing protocol for wireless sensor networks to deal with energy-depleting vampire attacks. This resource-conserving protection against energy-draining (RCPED) protocol is compatible with existing routing protocols t…
View article: Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach
Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach Open
The technology of the brain-computer interface (BCI) employs electroencephalogram (EEG) signals to establish direct interaction between the human body and its surroundings with promising applications in medical rehabilitative services and …
View article: Additional file 3 of Small-area estimation for public health surveillance using electronic health record data: reducing the impact of underrepresentation
Additional file 3 of Small-area estimation for public health surveillance using electronic health record data: reducing the impact of underrepresentation Open
Additional file 3. Predictions from each model (M0, M1, M2) for each test condition (asthma, diabetes, hypertension, obesity, smoking) for each practice (Atrius, CHA, MLCHC, aggregate) in each of the 351 municipalities.
View article: Cranial Transposition and Revascularization of Autologous Omentum: A Novel Surgical Technique for Bypassing the Blood Brain Barrier after Resection of Recurrent Glioblastoma Multiforme
Cranial Transposition and Revascularization of Autologous Omentum: A Novel Surgical Technique for Bypassing the Blood Brain Barrier after Resection of Recurrent Glioblastoma Multiforme Open
Background: Glioblastoma multiforme (GBM) patients continue to suffer a poor prognosis. The blood brain barrier (BBB) comprises one of the obstacles for therapy, creating a barrier that decreases the bioavailability of chemotherapeutic age…
View article: A general framework for formulating structured variable selection
A general framework for formulating structured variable selection Open
In variable selection, a selection rule that prescribes the permissible sets of selected variables (called a "selection dictionary") is desirable due to the inherent structural constraints among the candidate variables. Such selection rule…
View article: A general framework for identification of permissible variable subsets in structured model selection
A general framework for identification of permissible variable subsets in structured model selection Open
Variable is commonly used to arrive at a parsimonious model when relating an outcome to high-dimensional covariates. Oftentimes a rule that prescribes the permissible variable combinations in the final model is desirable due to the inher…
View article: Author Index
Author Index Open