Digital Commons Network^™

Physicochemical, Technofunctional, In Vitro Antioxidant, And In Situ Muscle Protein Synthesis Properties Of A Sprat (Sprattus Sprattus) Protein Hydrolysate, Niloofar Shekoohi, Azza Silotry Naik, Miryam Amigo Benevent, Padraigin A. Harnedy-Rothwell, Brian P. Carson, Richard J. Fitzgerald

Articles

This study characterized the physicochemical, technofunctional, and in vitro antioxidant properties along with the AA profile and score of a sprat protein enzymatic hydrolysate (SPH). Furthermore, the impact of the SPH on the growth, proliferation, and muscle protein synthesis (MPS) in skeletal muscle (C2C12) myotubes was examined. The SPH displayed good solubility and emulsion stabilization properties containing all essential and non-essential AAs. Limited additional hydrolysis was observed following in vitro-simulated gastrointestinal digestion (SGID) of the SPH. The SGID-treated SPH (SPH-SGID) displayed in vitro oxygen radical antioxidant capacity (ORAC) activity (549.42 μmol TE/g sample) and the ability to reduce (68%) reactive …

Enhancing Control Room Operator Decision Making: An Application Of Dynamic Influence Diagrams In Formaldehyde Manufacturing, Joseph Mietkiewicz, Anders L. Madsen

Articles

Intoday’s rapidly evolving industrial landscape, control room operators must grapple with an ever-growing array of tasks and respon sibilities. One major challenge facing these operators is the potential for task overload, which can lead to decision fatigue and increased reliance on cognitive biases. To address this issue, we propose the use of dynamic influence diagrams (DID) as the core of our decision support system. By monitoring the process over time and identifying anomalies, DIDs can recommend the most effective course of action based on a probabilistic assessment of future outcomes. Instead of letting the operator choose or search for the …

Soil Organic Matter Carbon Chemistry Signatures, Hydrophobicity And Humification Index Following Land Use Change In Temperate Peat Soils, Samuel Obeng Apori, Julie Dunne, Michelle Giltrap, Furong Tian

Articles

Peatlands play a critical role in the global carbon cycle, storing large amounts of carbon because of a net imbalance between primary production and the microbial decomposition of the organic matter. Nevertheless, peatlands have historically been drained for energy sources (e.g. peat briquettes), forestry, or agriculture - practices that could affect the quality of the soil organic matter (SOM) composition, hydrophobicity and humification index. This study compared the effect of land use change on the quality and composition of peatland organic material in Co-Offaly, Ireland. Specifically, drained and grazing peat (grassland), drained and forest plantation peat (forest plantation), drained and …

Pattern And Polarization Diversity Multisector Annular Antenna For Iot Applications, Abel Zandamela, Nicola Marchetti, Max Ammann, Adam Narbudowicz

Articles

This work proposes a small pattern and polarization diversity multisector annular antenna with electrical size and profile of ka = 1.2 and 0.018λ, respectively. The antenna is planar and comprises annular sectors that are fed using different ports to enable digital beamforming techniques, with efficiency and gain of up to 78% and 4.62 dBi, respectively. The cavity model analysis is used to describe the design concept and the antenna diversity. The proposed method can produce different polarization states (e.g., linearly and circularly polarized patterns) and pattern diversity characteristics covering the elevation plane. Owing to its small electrical size, low-profile and …

Explaining Deep Q-Learning Experience Replay With Shapley Additive Explanations, Robert S. Sullivan, Luca Longo

Articles

Reinforcement Learning (RL) has shown promise in optimizing complex control and decision-making processes but Deep Reinforcement Learning (DRL) lacks interpretability, limiting its adoption in regulated sectors like manufacturing, finance, and healthcare. Difficulties arise from DRL's opaque decision-making, hindering efficiency and resource use, this issue is amplified with every advancement. While many seek to move from Experience Replay to A3C, the latter demands more resources. Despite efforts to improve Experience Replay selection strategies, there is a tendency to keep the capacity high. We investigate training a Deep Convolutional Q-learning agent across 20 Atari games intentionally reducing Experience Replay capacity from (Formula …

Gated Deep Reinforcement Learning With Red Deer Optimization For Medical Image Classification, Narayanan Ganesh, Sambandan Jayalakshmi, Rama Chandran Narayanan, Miroslav Mahdal, Hossam Zawbaa, Ali Wagdy Mohamed

Articles

The brain is one of the most important and complex organs in the body, consisting of billions of individual cells. Uncontrolled growth and expansion of aberrant cell populations within or around the brain are the main causes of brain tumors. These cells have the potential to harm healthy cells and impair brain function [1]. Tumors can be detected using medical imaging techniques, which are considered the most popular and accurate way to classify different types of cancer, and this procedure is even more crucial as it is noninvasive [2]. Magnetic resonance imaging (MRI) is one such medical imaging technique that …

Pattern And Polarization Diversity Multisector Annular Antenna For Iot Applications, Abel Zandamela, Nicola Marchetti, Max Ammann, Adam Narbudowicz, Wroclaw University Of Science And Technology

Articles

This work proposes a small pattern and polarization diversity multisector annular antenna with electrical size and profile of ka=1.2 and 0.018λ, respectively. The antenna is planar and comprises annular sectors that are fed using different ports to enable digital beamforming techniques, with efficiency and gain of up to 78%and 4.62 dBi, respectively. The cavity model analysis is used to describe the design concept and the antenna diversity. The proposed method can produce different polarization states (e.g., linearly and circularly polarized patterns) and pattern diversity characteristics covering the elevation plane. Owing to its small electrical size, low-profile and diversity properties, the …

Adolescent Overweight And Obesity In Ireland—Trends And Sociodemographic Associations Between 1990 And 2020, Aoibhín Moore Heslin, Aisling O'Donnell, Laura Kehoe, Janette Walton, Albert Flynn, John Kearney, Breige Mcnulty

Articles

Background: Overweight and obesity in adolescence is a growing issue and can have a range of both short- and long-term consequences on health.

Objectives: To analyse trends in adolescent weight status in Ireland across a 30-year period and to examine the influence of sociodemographic factors on overweight/obesity in Irish adolescents over time.

Methods: Body composition and body mass index weight status of Irish adolescents were compared using data from three nationally representative, cross-sectional Irish national food consumption surveys from 1990, 2006 and 2020. Adjusted analysis of associations between socio-demographic factors with the risk of adolescent overweight/obesity at each time point …

A Qualitative Analysis Of Women's Postnatal Experiences Of Breastfeeding Supports During The Perinatal Period In Ireland, Niamh Lawlor, Lucia Prihodova, Deborah Byrne, Megan Etherton, Felicienne Rahill, Catie Wilson, Elizabeth J. O'Sullivan

Articles

Ireland has among the lowest rates of breastfeeding worldwide. Despite policies to support breastfeeding, breastfeeding initiation and exclusivity remain low in Ireland. Greater knowledge about support received in the maternity unit may—in part—shed light on why this is so. Our aim was to analyse women's experiences of the breastfeeding supports available in the early postnatal period in Ireland. We conducted an analysis of an open-ended question on a cross-sectional survey about breastfeeding support conducted in the Republic of Ireland in 2022. Participants were asked to provide comments about the breastfeeding support they received in the maternity unit or during your …

Effect Of Pre-Analytical Variables On Raman And Ftir Spectral Content Of Lymphocytes, Jade F. Monaghan, Daniel Cullen, Claire Wynne, Fiona Lyng, Aidan Meade

Articles

The use of Fourier transform infrared (FTIR) and Raman spectroscopy (RS) for the analysis of lymphocytes in clinical applications is increasing in the field of biomedicine. The pre-analytical phase, which is the most vulnerable stage of the testing process, is where most errors and sample variance occur; however, it is unclear how pre-analytical variables affect the FTIR and Raman spectra of lymphocytes. In this study, we evaluated how pre-analytical procedures undertaken before spectroscopic analysis influence the spectral integrity of lymphocytes purified from the peripheral blood of male volunteers (n = 3). Pre-analytical variables investigated were associated with (i) sample preparation, …

Detection Of Grape Clusters In Images Using Convolutional Neural Network, Mohammad Osama Shahzad, Anas Bin Aqeel, Waqar Shahid Qureshi

Articles

Convolutional Neural Networks and Deep Learning have revolutionized every field since their inception. Agriculture has also been reaping the fruits of developments in mentioned fields. Technology is being revolutionized to increase yield, save water wastage, take care of diseased weeds, and also increase the profit of farmers. Grapes are among the highest profit-yielding and important fruit related to the juice industry. Pakistan being an agricultural country, can widely benefit by cultivating and improving grapes per hectare yield. The biggest challenge in harvesting grapes to date is to detect their cluster successfully; many approaches tend to answer this problem by harvest …

How Visual Stimuli Evoked P300 Is Transforming The Brain–Computer Interface Landscape: A Prisma Compliant Systematic Review, Jai Kalra, Prashasti Mittal, Nirmiti Mittal, Abhishek Arora, Utkarsh Tewari, Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Luca Longo

Articles

Non-invasive Visual Stimuli evoked-EEGbased P300 BCIs have gained immense attention in recent years due to their ability to help patients with disability using BCI-controlled assistive devices and applications. In addition to the medical field, P300 BCI has applications in entertainment, robotics, and education. The current article systematically reviews 147 articles that were published between 2006-2021*. Articles that pass the pre-defined criteria are included in the study. Further, classification based on their primary focus, including article orientation, participants’ age groups, tasks given, databases, the EEG devices used in the studies, classification models, and application domain, is performed. The application-based classification considers …

Schizo-Net: A Novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning On Electroencephalogram-Based Brain Connectivity Indices, Nitin Grover, Aviral Chharia, Rahul Upadhyay, Luca Longo

Articles

Schizophrenia (SCZ) is a serious mental condition that causes hallucinations, delusions, and disordered thinking. Traditionally, SCZ diagnosis involves the subject’s interview by a skilled psychiatrist. The process needs time and is bound to human errors and bias. Recently, brain connectivity indices have been used in a few pattern recognition methods to discriminate neuro-psychiatric patients from healthy subjects. The study presents Schizo-Net , a novel, highly accurate, and reliable SCZ diagnosis model based on a late multimodal fusion of estimated brain connectivity indices from EEG activity. First, the raw EEG activity is pre-processed exhaustively to remove unwanted artifacts. Next, six brain …

Towards Sweetness Classification Of Orange Cultivars Using Short‑Wave Nir Spectroscopy, Ayesha Zeb, Waqar Shahid Qureshi, Abdul Ghafoor, Amanullah Malik, Muhammad Imran, Alina Mirza, Mohsin Islam Tiwana, Eisa Alanazi

Articles

The global orange industry constantly faces new technical challenges to meet consumer demands for quality fruits. Instead of traditional subjective fruit quality assessment methods, the interest in the horticulture industry has increased in objective, quantitative, and non-destructive assessment methods. Oranges have a thick peel which makes their non-destructive quality assessment challenging. This paper evaluates the potential of short-wave NIR spectroscopy and direct sweetness classification approach for Pakistani cultivars of orange, i.e., Red-Blood, Mosambi, and Succari. The correlation between quality indices, i.e., Brix, titratable acidity (TA), Brix: TA and BrimA (Brix minus acids), sensory assessment of the fruit, and short-wave NIR …

Decision Making For Process Control Management In Control Rooms: A Survey Methodology And Initial Findings, Chidera Winifred Amazu, Ammar N. Abbas, Micaela Demichela, Davide Fissore

Articles

Control rooms and their operators are active elements in complex socio-technical systems such as process plants. Control room operators monitor process operations, respond to alarms, and manage process deviations until emergencies. The increase in automation of plants and equipment makes the operators less involved in manual process control or other physical roles while more exposed to cognitive load generated, for example, by increasing the number of alarms or potential system failures in abnormal situations. A shift in process control design and management techniques to holistically capture risks due to evolving process or monitoring capabilities and the related influencing factors is …

Opportunities Of Iot In Fog Computing For High Fault Tolerance And Sustainable Energy Optimization, A. Reyana, Sandeep Kautish, Khalid Abdulaziz Alnowibet, Hossam Zawbaa, Ali Wagdy Mohamed

Articles

Today, the importance of enhanced quality of service and energy optimization has promoted research into sensor applications such as pervasive health monitoring, distributed computing, etc. In general, the resulting sensor data are stored on the cloud server for future processing. For this purpose, recently, the use of fog computing from a real-world perspective has emerged, utilizing end-user nodes and neighboring edge devices to perform computation and communication. This paper aims to develop a quality-of-service-based energy optimization (QoS-EO) scheme for the wireless sensor environments deployed in fog computing. The fog nodes deployed in specific geographical areas cover the sensor activity performed …

A Multi–Objective Gaining–Sharing Knowledge-Based Optimization Algorithm For Solving Engineering Problems, Nour Elhouda Chalabi, Abdelouahab Attia, Khalid Abdulaziz Alnowibet, Hossam Zawbaa, Hatem Masri, Ali Wagdy Mohamed

Articles

Metaheuristics in recent years has proven its effectiveness; however, robust algorithms that can solve real-world problems are always needed. In this paper, we suggest the first extended version of the recently introduced gaining–sharing knowledge optimization (GSK) algorithm, named multiobjective gaining–sharing knowledge optimization (MOGSK), to deal with multiobjective optimization problems (MOPs). MOGSK employs an external archive population to store the nondominated solutions generated thus far, with the aim of guiding the solutions during the exploration process. Furthermore, fast nondominated sorting with crowding distance was incorporated to sustain the diversity of the solutions and ensure the convergence towards the Pareto optimal set, …

Interpreting Disentangled Representations Of Person-Specific Convolutional Variational Autoencoders Of Spatially Preserving Eeg Topographic Maps Via Clustering And Visual Plausibility, Taufique Ahmed, Luca Longo

Articles

Dimensionality reduction and producing simple representations of electroencephalography (EEG) signals are challenging problems. Variational autoencoders (VAEs) have been employed for EEG data creation, augmentation, and automatic feature extraction. In most of the studies, VAE latent space interpretation is used to detect only the out-of-order distribution latent variable for anomaly detection. However, the interpretation and visualisation of all latent space components disclose information about how the model arrives at its conclusion. The main contribution of this study is interpreting the disentangled representation of VAE by activating only one latent component at a time, whereas the values for the remaining components are …

The Potential And Limitations Of Conversational Agents For Chronic Conditions And Well-Being, Ekaterina Uetova, Lucy Hederman, Robert J. Ross, Dympna O'Sullivan

Articles

Conversational agents are becoming more common in the health and wellness domains in part due to assumptions regarding potential improvements in individuals’ outcomes. This paper presents initial findings from a review of conversational agent use in healthcare for chronic conditions and well-being. A search of the literature was performed on electronic databases PubMed, ACM Digital Library, Scopus and IEEE Xplore. Studies were included if they were focused on chronic disorder management, disease prevention or lifestyle change and if systems were tested on target user groups. This paper investigates the health domains, the user profiles and reasons why conversational agents may …

Considerations For Scaling A Social Enterprise: Key Factors And Elements, Clodagh O'Reilly, Lucia Walsh, Ziene Mottiar

Articles

No abstract provided.

The Exoskeleton Of Environmental Law: Why The Breadth, Depth And Longevity Of Environmental Law Matters For Judicial Review, Sanne H. Knudsen

Articles

Environmental law is pragmatic, inevitable, and intentional. In the aggregate, the numerous federal environmental statutes are not simply a patchwork of ad hoc responses or momentary political breakthroughs to isolated public health problems and resource concerns. Together, they are a group of repeated, legislatively-backed commitments to embrace self-restraint for self-preservation.

Self-restraint and discipline are the essence of environmental law. Indeed, if one studies the patterns and repeated choices in environmental law 's many statutory texts, one can start to appreciate environmental law 's indispensable role in society: it serves as an enduring "exoskeleton," a sort of protective armor created over …

Blockchain Games And A Disruptive Corporate Business Model, Xuan-Thao Nguyen

Articles

This Article is the first to identify and theorize on a new disruptive corporate business model unfolding in the gaming industry that is larger than both the movie and music sectors combined. Corporations in blockchain gaming reject the old paradigm of amassing profits by turning the public into spenders for and consumers of corporate products. The new corporate business model transforms members of the public into producers and true owners of new corporate property while earning income and garnering governance voting rights. Through a case study of Axie Infinity, a blockchain game launched in 2021, this Article explores how the …

Remote Justice & Domestic Violence: Process Pluralism Lessons From The Pandemic, Andrea K. Schneider, Heather Hlavka, Sameena Mulla, Erin Schubert, Aleksandra J. Snowden, Jennica Webster

Articles

Domestic violence procedures, like so many court processes around the world, were forced to go online and remote during the pandemic. The impact was dramatic-there were fewer restraining order petitions filed in the first place and an even lower amount granted. In short, domestic violence survivors, among the most vulnerable in our court system, were even more challenged in the last two years. Like many court systems, Milwaukee will never go back to being fully in-person for all procedures in conjunction with domestic violence. The evolving hybrid choices could provide additional access to justice, or these processes could create additional …

Overview Of Various Components Of Lateral-Flow Immunochromatography Assay For The Monitoring Of Aflatoxin And Limit Of Detection In Food Products: A Systematic Review, Thasmin Shahjahan, Bilal Javed, Vinayak Sharma, Furong Tian

Articles

The detection of aflatoxins is essential for the food industry to ensure the safety and quality of food products before their release to the market. The lateral-flow immunochromatography assay (LFIA) is a simple technique that allows the rapid on-site detection of aflatoxins. The purpose of this review is to evaluate and compare the limits of detection reported in the most recent research articles, published between the years of 2015 and 2023. The limits of detection (LODs) were compared against the particle type and particle size, as well as other variables, to identify trends and correlations among the parameters. A growing …

Surface-Modified Silver Nanoparticles And Their Encapsulation In Liposomes Can Treat Mcf-7 Breast Cancer Cells, Ellenor Moors, Vinayak Sharma, Furong Tian, Bilal Javed

Articles

Silver nanoparticles (AgNPs) have emerged as a promising tool for cancer treatment due to their unique physicochemical and biological properties. However, their clinical applications are limited by their potential cytotoxicity caused due to oxidation stress and non-specific cellular uptake pathways. To overcome these barriers, surface modifications of AgNPs have been proposed as an effective strategy to enhance their biocompatibility and specificity toward cancer cells. In this study, AgNPs were synthesised using the chemical reduction method and subsequently conjugated with various capping agents such as Polyvinylpyrrolidone (PVP) and Bovine Serum Albumin (BSA). Further, this study involves the synthesis of liposomes by …

The Public Voice Of The Defender,, Russell M. Gold, Kay L. Levine

Articles

For decades, police and prosecutors have controlled the public narrative about criminal law. The news landscape features salacious stories of violent crimes while ignoring the more mundane but far more prevalent minor cases that clog the court dockets. Defenders, faced with overwhelming caseloads and fear that speaking out may harm their clients, have largely ceded the opportunity to offer a counternarrative based on what they see every day. Defenders tell each other about the overuse of pretrial detention, intensive pressure to plead guilty, overzealous prosecutors, cycles of violence, and rampant constitutional violations-all of which inflict severe harm on defendants and …

Extending Cheese Shelf-Life Using Eco-Friendly Sodium Alginate-Gelatin Films Reinforced With Nanoclay, Kalpani Y. Perera, Amit K. Jaiswal, Swarna Jaiswal

Articles

Eco-friendly antimicrobial food packaging materials are essential for extending the shelf life of food products, reducing food waste, and maintaining food quality while being biodegradable in nature. A food packaging material developed for cheese should control the moisture content, enhance antimicrobial properties and maintain the quality of cheese through storage. The current food packaging material was created by incorporating nanoclay (NC) (0.3 %, 0.5 %, and 1 % w/v) and clove essential oil (CEO) (1 % v/v) into a matrix of sodium alginate (SA) and gelatin via solvent casting for cheese (cheddar cheese) applications. The created packaging material's chemical, physical, …

Adolescent Overweight And Obesity In Ireland—Trends And Sociodemographic Associations Between 1990 And 2020, Aoibhín Moore Heslin, Aisling O'Donnell, Laura Kehoe, Janette Walton, Albert Flynn, John Kearney, Breige Mcnulty

Articles

Background: Overweight and obesity in adolescence is a growing issue and can have a range of both short- and long-term consequences on health. Objectives: To analyse trends in adolescent weight status in Ireland across a 30-year period and to examine the influence of sociodemographic factors on overweight/obesity in Irish adolescents over time. Methods: Body composition and body mass index weight status of Irish adolescents were compared using data from three nationally representative, cross-sectional Irish national food consumption surveys from 1990, 2006 and 2020. Adjusted analysis of associations between socio-demographic factors with the risk of adolescent overweight/obesity at each time point …

Spherical Modes Driven Directional Modulation With A Compact Mimo Antenna, Abel Zamdemala, Nicola Marchetti, Max Ammann, Adam Narbudowicz

Articles

In this letter, a compact beamsteering MIMO antenna is proposed for Directional Modulation (DM) applications. A generalization of the beamsteering principle is presented and by exploiting the antenna’s unidirectional beamsteering capability within the entire azimuth plane, the system realizes secure steerable transmissions in the direction of the legitimate receiver, with a low Bit Error Rate (BER) of 10^(-5), while a high error rate of 10^(-1) is seen outside the desired regions. Numerical and experimental verifications are carried out to validate the proposed concept and comparisons with circular arrays are conducted, revealing that the system achieves comparable performance but with up …

Consolidating Port Decarbonisation Implementation : Concept, Pathways, Barriers, Solutions, And Opportunities, A.S. Alamoush, D. Dalaklis, F. Ballini, A.I. Ölcer

Articles

No abstract provided.