Digital Commons Network^™

Cmn 3530 Corrected, Clas

Executive Actions

No abstract provided.

Spatiotemporal Variance Image Reconstruction For Thermographic Inspections, Logan M. Wilcox, Emily M. Johnson, Emma T. Bohannon, Catherine E. Johnson, Kristen M. Donnell

Mining Engineering Faculty Research & Creative Works

Active microwave thermography (AMT) is a nondestructive testing and evaluation (NDT&E) technique that utilizes a radiating antenna to induce a thermal increase on or within a specimen under test (SUT). The radiated power density is spatially nonuniform and therefore results in a spatially nonuniform thermal excitation, which may result in missed or false indications of defects. To this end, this work proposes a novel image reconstruction technique for nonuniform excitation/heating and is referred to as Spatiotemporal Variance Reconstruction (STVR). STVR utilizes the spatial and temporal variance of the surface thermal profile. STVR is advantageous in that it does not require …

2026 Ignite By 4-H Application Packet, Kristen Lyons

UNH Cooperative Extension

No abstract provided.

North Haverhill Fair 4-H Animal Information Packet - 2024, Extension

UNH Cooperative Extension

No abstract provided.

Evaluating Surgical Approaches For Hemimandibular Hyperplasia Associated With Osteochondroma: A Systematic Literature Review, Luis Eduardo Almeida, Samuel Zammuto, Diego Fernando Lopez

School of Dentistry Faculty Research and Publications

Background/Objectives: Hemimandibular hyperplasia (HH) associated with osteochondroma presents complex challenges in maxillofacial surgery, including facial asymmetry, occlusal instability, and temporomandibular joint (TMJ) dysfunction. Surgical interventions vary widely in approach and outcomes, underscoring the need for a systematic evaluation of effectiveness. This systematic review assesses the effectiveness of surgical approaches for managing HH associated with osteochondroma, focusing on techniques including condylectomy, orthognathic surgery, distraction osteogenesis, total joint replacement (TJR), and genioplasty. Methods: Following PRISMA 2020 guidelines, a comprehensive search was conducted in PubMed, Scopus, and Web of Science for studies published from 2000 to 2023. Eligibility criteria were based on the …

Bayesian Rare Variant Analysis Identifies Novel Schizophrenia Putative Risk Genes, Shengtong Han

School of Dentistry Faculty Research and Publications

The genetics of schizophrenia is so complex that it involves both common variants and rare variants. Rare variant association studies of schizophrenia are challenging because statistical methods for rare variant analysis are under-powered due to the rarity of rare variants. The recent Schizophrenia Exome meta-analysis (SCHEMA) consortium, the largest consortium in this field to date, has successfully identified 10 schizophrenia risk genes from ultra-rare variants by burden test, while more risk genes remain to be discovered by more powerful rare variant association test methods. In this study, we use a recently developed Bayesian rare variant association method that is powerful …

Association Between Periodontal Health Status And Quality Of Life: A Cross-Sectional Study, Kinan M. Al-Bitar, Jeffery M. Garcia, Shengtong Han, Arndt Guentsch

School of Dentistry Faculty Research and Publications

Introduction: Attachment loss due to periodontal diseases is associated with functional limitations as well as physical pain and psychological discomfort, which may lead to a reduced quality of life. The purpose of this study is to determine if the oral health status, specifically the periodontal status, influences oral health–related quality of life.

Materials and methods: Survey data were collected in a US dental school clinical setting in a cross-sectional study. Quality of life related to oral health was assessed with the Oral Health Impact Profile-49 (OHIP-49). In addition, DMFT index, periodontal status, and health literacy scores (dental and medical health …

Big Fur Secret (1944) By Margaret Wise Brown, Peter Shea

Picture Books

This little-known book by Margaret Wise Brown follows a boy as he watches animals in a zoo, first just observing, then having fantasies about them: of putting squirrels in his pocket, lying down beside the panda, hugging the polar bear. But he always interrupts his fantasy: the squirrel wouldn’t like to be put in a pocket; he knows better than to lie down next to a panda or to hug a polar bear. The Big Fur Secret is importantly about animals, and about zoos, and about the ways people integrate defenseless beings into their projects and plots. But it is …

Estimating Cardiorespiratory Fitness In Older Adults Using The International Physical Activity Questionnaire, Kelsey R. Sewell, Jeremiah J. Peiffer, Shaun J. Markovic, Belinda M. Brown

Research outputs 2022 to 2026

Introduction:

Non-exercise estimates of cardiorespiratory fitness hold great utility for epidemiological research and clinical practice. Older adults may yield the greatest benefit from fitness estimates due to limited capacity to undergo strenuous maximal exercise testing, however, few of the previously developed non-exercise equations are suitable for use in older adults. Thus, the current study developed a non-exercise equation for estimating cardiorespiratory fitness in older adults derived from the widely used International Physical Activity Questionnaire (IPAQ).

Methods:

This study was a secondary analysis of baseline data from a randomized controlled trial. Participants were community-dwelling, cognitively unimpaired older adults aged 60–80 years …

Error In Jump Height Estimation Using The Flight Time Method: Simulation Of The Effect Of Ankle Position Between Takeoff And Landing, Carlos Gonçalves, Roberto Baptista, James Tufano, Anthony J. Blazevich, Amilton Vieira

Research outputs 2022 to 2026

During vertical jump evaluations in which jump height is estimated from flight time (FT), the jumper must maintain the same body posture between vertical takeoff and landing. As maintaining identical posture is rare during takeoff and landing between different jump attempts and in different individuals, we simulated the effect of changes in ankle position from takeoff to landing in vertical jumping to determine the range of errors that might occur in real-life scenarios. Our simulations account for changes in center of mass position during takeoff and landing, changes in ankle position, different subject statures (1.44–1.98 m), and poor to above-average …

Assessing The Transformative Influence Of Chatgpt On Research Practices Among Scholars In Pakistan, Nayab Arshad, Mehran Ullah Baber, Adnan Ullah

Mesopotamian Journal of Big Data

This article investigates the transformative impact of ChatGPT on research practices within the scholarly community in Pakistan. ChatGPT, a powerful AI language model, has added significant consideration for its possibility of improving academic research. Survey data was gathered via a structured questionnaire distributed to researchers in Pakistan. A total of 278 questionnaires were distributed for the randomly chosen sample, of which 223 were returned. For calculating descriptive statistics, SPSS was utilized.  Results of the study indicated that 90% of scholars are familiar with the practice of ChatGPT in research activities. 86% of scholars used 3.5 (Basic version) of ChatGPT for …

Generalized Time Domain Prediction Model For Motor Imagery-Based Wheelchair Movement Control, Z. T. Al-Qaysi, M. S. Suzani, Nazre Bin Abdul Rashid, Reem D. Ismail, M. A. Ahmed, Rasha A. Aljanabi, Veronica Gil-Costa

Mesopotamian Journal of Big Data

Brain-computer interface (BCI-MI)-based wheelchair control is, in principle, an appropriate method for completely paralyzed people with a healthy brain. In a BCI-based wheelchair control system, pattern recognition in terms of preprocessing, feature extraction, and classification plays a significant role in avoiding recognition errors, which can lead to the initiation of the wrong command that will put the user in unsafe condition. Therefore, this research's goal is to create a time-domain generic pattern recognition model (GPRM) of two-class EEG-MI signals for use in a wheelchair control system. This GPRM has the advantage of having a model that is applicable to unknown …

Healthcare Intelligence And Decision Making: Big Data’S Role In Predictive Analytics For Clinical Decision-Making, Sahar Yousif Mohammed, Noora Saleem Jumaah, Estabraq Abbas, Haifaa Mhammad Ali, Mohammad Aljanabi

Mesopotamian Journal of Big Data

Technology and data are transforming healthcare systems. The use of big data in predictive analytics to anticipate healthcare outcomes, make accurate diagnoses, and improve care is a major advance. Predictive modeling analyzes patient data from EHRs, genetic data, and wearable devices to improve early diagnosis, targeted treatment, and efficiency. For example, predictors of chronic diseases like diabetes and heart disease can identify high-risk groups and treat them early, improving outcomes and saving money. A backpack matched to the patient's genetics and surroundings is also used. Privacy, system integration, and algorithmic transparency remain major issues. Predictive analytics may transform healthcare and …

Effective Land Use Classification Through Hybrid Transformer Using Remote Sensing Imagery, Muhammad Zia Ur Rehman, Syed Mohammed Shamsul Islam, Anwaar Ulhaq, David Blake, Naeem Janjua

Research outputs 2022 to 2026

Recent advances in deep learning for hyperspectral image (HSI) classification have shown exceptional performance in resource management and environmental planning through land use classification. Despite these successes, challenges continue to persist in land use classification due to the complex topology of natural and man-made structures. The uneven distribution of land cover introduces spectral-spatial variability, causing inter- and intra-class similarity. To address this issue, this study adopts a hybrid approach that combines convolutional neural networks (CNNs) and a transformer model. The technique comprises three key components: a spectral-spatial convolutional module (SSCM), a spatial attention module (SAM), and a transformer module. Each …

Risk Factors Of Under-Five And Infant Mortality: An Umbrella Review Of Systematic Reviews And Meta-Analyses, Bereket Kefale, Jonine Jancey, Amanuel T. Gebremedhin, Sylvester Dodzi Nyadanu, Daniel G. Belay, Gavin Pereira, Gizachew A. Tessema

Research outputs 2022 to 2026

Background: Ensuring child survival is a critical global challenge, requiring a robust and comprehensive understanding of the risk factors contributing to under-five mortality (U5M). We aimed to synthesise and summarise the current available evidence on risk factors of U5M and infant mortality worldwide to inform global child health programmes.

Methods: We searched six major databases (Embase, Medline, Scopus, CINAHL, Web of Science, and Global Health) and repositories of systematic reviews, as well as grey literature sources to identify systematic reviews and meta-analyses that examined the associations between risk factors of U5M and infant mortality between 1 January 1990 and 4 …

Experiences Of The Change Process During Emotion Focused Group Therapy, Jason M. Sharbanee, Kirra Rauchelle, Marina Nelson, Eyal Gringart

Research outputs 2022 to 2026

Emotion Focused Group Therapy has demonstrated preliminary efficacy for multiple syndromes. The groups involve individual chair-work in the context of the group, followed by interpersonal processing of the aroused emotions. So far there has been limited investigation of the mechanisms of change, including participants’ experiences of the change process. This study aimed to qualitatively examine participants’ experiences of the change process during Emotion Focused Group Therapy. Sixteen participants were interviewed about their experiences of the change process during the therapy group. The interview was structured to move from overarching reflections on the process of change, to specific experiences of their …

Work-Integrated Learning In The Humanities, Arts And Social Sciences: Where To From Here?, Denise Jackson, Elizabeth Cook

Research outputs 2022 to 2026

Amidst increasing pressures on Humanities, Arts, and Social Sciences (HASS) disciplines regarding graduate career readiness, this study examines HASS student participation in work-integrated learning (WIL) and its impacts on employability and short-term employment outcomes, using data from the Australian Graduate Outcomes Survey from 2020 to 2023. The research examined the extent of participation across WIL types (work-based, non-workplace and global) and its influence on graduates’ perceived employability and employment outcomes (full-time employment and perceived overqualification), while investigating demographic differences using descriptive analysis and logistic regression models. Results indicated rising WIL participation yet identified disparities by activity type and among student …

Managing Differences In The Family, Alina M. Baltazar

Faculty Publications

No abstract provided.

Machine Learning Helps In Quickly Diagnosis Cases Of "New Corona", Maad M. Mijwil, Ioannis Adamopoulos, Pramila Pudasaini

Mesopotamian Journal of Artificial Intelligence in Healthcare

Machine learning is considered one of the most significant techniques that play a vital role in diagnosing the Coronavirus. It is a set of advanced algorithms capable of analysing medical data and identifying patterns and behaviours of diseases. It is used to interpret medical images, giving details of each image with high accuracy and efficiency, such as chest X-ray images. These algorithms are trained on a large set of images to recognise patterns that indicate the presence of infection with the Coronavirus (COVID-19). This article will provide a brief overview of the importance of machine learning in diagnosing COVID-19 by …

Benchmarking Generative Ai: A Call For Establishing A Comprehensive Framework And A Generative Aiq Test, Malik Sallam, Roaa Khalil, Mohammed Sallam

Mesopotamian Journal of Artificial Intelligence in Healthcare

The introduction and rapid evolution of generative artificial intelligence (genAI) models necessitates a refined understanding for the concept of “intelligence”. The genAI tools are known for its capability to produce complex, creative, and contextually relevant output. Nevertheless, the deployment of genAI models in healthcare should be accompanied appropriate and rigorous performance evaluation tools. In this rapid communication, we emphasizes the urgent need to develop a “Generative AIQ Test” as a novel tailored tool for comprehensive benchmarking of genAI models against multiple human-like intelligence attributes. A preliminary framework is proposed in this communication. This framework incorporates miscellaneous performance metrics including accuracy, …

Assigning Medical Professionals: Chatgpt's Contributions To Medical Education And Health Prediction, Maad M. Mijwil, Mostafa Abotaleb, Guma Ali, Klodian Dhoska

Mesopotamian Journal of Artificial Intelligence in Healthcare

Artificial intelligence is increasingly present in many applications that help humans accomplish many tasks. It can support improved results, increased productivity, and high efficiency in providing services. Systems developers seek to integrate improved artificial intelligence models into the development of healthcare services and make a significant qualitative shift in the medical field. One recently invented tool is ChatGPT, which deserves extensive advertising space. This tool provides sample answers that help both healthcare workers and patients answer all their questions. It is an important tool in medical education, increasing knowledge in making decisions that can improve the performance of medical professionals. …

Machine Learning Techniques To Predictive In Healthcare: Hepatitis C Diagnosis, Hussein Alkattan, Bashar Talib Al-Nuaimi, Alhumaima Ali Subhi

Mesopotamian Journal of Artificial Intelligence in Healthcare

The accurate prediction and classification of medical data, such as Hepatitis C, play a significant role in upgrading symptomatic accuracy and treatment planning. This study utilized progressed machine learning algorithms, including RF, SVR, and Gradient Boosting, to analyze features and predict outcomes viably. By coordination robust preprocessing strategies and feature engineering, the models tended to missing values and categorical transformations, enabling exact predictions from complex datasets. The models accomplished high accuracy and unwavering quality in execution, as prove by comparative measurements and validation results. These discoveries highlight the potential of machine learning in increasing clinical decision-making and emphasize the require …

A Comprehensive Review On Cryptographic Techniques For Securing Internet Of Medical Things: A State-Of-The-Art, Applications, Security Attacks, Mitigation Measures, And Future Research Direction, Wamusi Robert, Asiku Denis, Adebo Thomas, Aziku Samuel, Simon Peter Kabiito, Zaward Morish, Guma Ali

Mesopotamian Journal of Artificial Intelligence in Healthcare

As healthcare becomes increasingly dependent on the Internet of Medical Things (IoMT) infrastructure, it is essential to establish a secure system that guarantees the confidentiality and privacy of patient data. This system must also facilitate the secure sharing of healthcare information with other parties within the healthcare ecosystem. However, this increased connectivity also introduces cybersecurity attacks and vulnerabilities. This comprehensive review explores the state-of-the-art in the IoMT, security requirements in the IoMT, cryptographic techniques in the IoMT, application of cryptographic techniques in securing the IoMT, security attacks on cryptographic techniques, mitigation strategies, and future research directions. The study adopts a …

Children And Young People’S Participation In Decision-Making Within Healthcare Organisations In New Zealand: An Integrative Review, Mandie Foster, Julie Blamires, Chris Moir, Virginia Jones, Jagamaya Shrestha-Ranjit, Brie Fenton, Annette Dickinson

Research outputs 2022 to 2026

There is a paucity of literature on children and young people’s participation in decision-making within healthcare organisations in New Zealand. This integrative review examined child self-reported peer-reviewed manuscripts and published guidelines, policy, reviews, expert opinion and legislation to explore how New Zealand children and young people participate in discussions and decision-making processes within healthcare settings and what are barriers and benefits to such participation. Four child self-reported peer-reviewed manuscripts and twelve expert opinion documents were retrieved from four electronic databases including academic, government and institutional websites. Inductive content thematic analysis generated one theme (a discourse in children and young people’s …

Fight-Pd: A Feasibility Study Of Periodized Boxing Training For Parkinson Disease, David J. Blacker, Raimondo Fazio, Claire Tucak, Phillip Beranek, Connor Pollard, Tegan Shelley, Sanathraj Rajandran, Georgina Holbeche, Mitchell Turner, Travis Cruickshank

Research outputs 2022 to 2026

Background: Boxing training has become a popular form of exercise for people with Parkinson disease (PD). There is a dearth of high-quality feasibility, safety, and efficacy data on boxing training for PD. Feasibility of Instituting Graduated High-intensity Training (FIGHT-PD) aimed to examine these features in a periodized boxing training program featuring high-intensity physical and cognitive demands. Objective: To conduct a feasibility study, aiming to address deficiencies in the current knowledge base and to provide data for future studies. Design: Single-arm, open-label feasibility. Setting: University department and medical research institute. Participants: Ten people with early stage PD without contraindications to intense …

Attitudes And Perceptions Towards Privacy And Surveillance In Australia, Aleatha J. Shanley

Theses: Doctorates and Masters

Understanding attitudes towards privacy and surveillance technologies used to enhance security objectives is a complex, but crucial aspect for policy makers to consider. Historically, terrorism-related incidents justified the uptake of surveillance practices. More recently however, biosecurity concerns have motivated nation-states to adopt more intrusive surveillance measures. There is a growing body of literature that supports the public’s desire to maintain privacy despite fears of biological or physical threats.

This research set out to explore attitudes towards privacy and surveillance in an Australian context. Throughout the course of this endeavour, the COVID-19 pandemic emerged bringing with it a variety of track …

Gender Wobbles But It Don’T Fall Down: Feste And The Instability Of Gender In Twelfth Night, Evangeline Thurston Wilder

International Journal of Undergraduate Research and Creative Activities

Shakespeare’s Twelfth Night appears to some readers as a conservative story of gender-bending, in which all is made “right” in the end. The central character, Viola, disguises herself as Cesario in order to survive. In the final scenes of the play, this character reveals herself to have been a woman all along, and immediately enters a cis-heterosexual marriage with the Duke Orsino. To other readers, the play appears to be an early depiction of what we might now call transmasculinity. In this view, the central character is not just dressing up as a man to survive; he really is Cesario. …

Optimal Tilt-Wing Evtol Takeoff Trajectory Prediction Using Regression Generative Adversarial Networks, Shuan Tai Yeh, Xiaosong Du

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Electric vertical takeoff and landing (eVTOL) aircraft have attracted tremendous attention nowadays due to their flexible maneuverability, precise control, cost efficiency, and low noise. The optimal takeoff trajectory design is a key component of cost-effective and passenger-friendly eVTOL systems. However, conventional design optimization is typically computationally prohibitive due to the adoption of high-fidelity simulation models in an iterative manner. Machine learning (ML) allows rapid decision making; however, new ML surrogate modeling architectures and strategies are still desired to address large-scale problems. Therefore, we showcase a novel regression generative adversarial network (regGAN) surrogate for fast interactive optimal takeoff trajectory predictions of …

Effect Of Bioactive Borate Glass On Printability And Physical Properties Of Hydrogels, Fateme Fayyazbakhsh, Mehedi H. Tusar, Yue-Wern Huang, Ming C. Leu

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Hydrogels are a key component in bioinks and biomaterial inks for bioprinting due to their biocompatibility and printability at room temperature. The research described in the present paper contributes to the advancement of bioprinting by studying the effect of bioactive borate glass (BBG) incorporated into hydrogels on printability and physical properties. In this study, we fabricated 3D-printed hydrogel scaffolds using gelatin and alginate hydrogel mixture incorporated with various amounts of BBG, a bio ceramic rich in therapeutic ions including boron, calcium, copper, and zinc. We investigated the effect of incorporating BBG on the density, viscosity, physical interactions, chemical structure, and …

A Segmentation Approach For Predicting Plane Wave Coupling To Pcb Structures, Shengxuan Xia, James Hunter, Aaron Harmon, Ahmed M. Hassan, Victor Khilkevich, Daryl G. Beetner

Electrical and Computer Engineering Faculty Research & Creative Works

Evaluating the far-field radio frequency (RF) susceptibility of electronic devices often depends on extensive testing or full wave simulations. These methods are effective when complete system information is available but require substantial time and resources to evaluate a large number of variations in system configurations, where trace routings, integrated circuit (IC) package styles, trace terminations, arrival angle, and polarization of incoming wave, etc., are varied from one configuration to another. The goal of the following article is to develop simulation techniques for studying the statistical characteristics of coupling to typical printed circuit board (PCB) structures. Simulation time can be reduced …