Digital Commons Network^™

Episodic Memory Assessment: Effects Of Sex And Age On Performance And Response Time During A Continuous Recognition Task, James O. Clifford, Sulekha Anand, Franck Tarpin-Bernard, Michael F. Bergeron, Curtis B. Ashford, Peter J. Bayley, John Wesson Ashford

Faculty Research, Scholarly, and Creative Activity

Introduction: Continuous recognition tasks (CRTs) assess episodic memory (EM), the central functional disturbance in Alzheimer’s disease and several related disorders. The online MemTrax computerized CRT provides a platform for screening and assessment that is engaging and can be repeated frequently. MemTrax presents complex visual stimuli, which require complex involvement of the lateral and medial temporal lobes and can be completed in less than 2 min. Results include number of correct recognitions (HITs), recognition failures (MISSes = 1-HITs), correct rejections (CRs), false alarms (FAs = 1-CRs), total correct (TC = HITs + CRs), and response times (RTs) for each HIT and …

Exploring Angiotensin Ii And Oxidative Stress In Radiation-Induced Cataract Formation: Potential For Therapeutic Intervention, Vidya P. Kumar, Yali Kong, Riana Dolland, Sandra R. Brown, Kan Wang, Damian Dolland, David Mu, Milton L. Brown

Department of Biomedical and Translational Sciences Faculty Publications

Radiation-induced cataracts (RICs) represent a significant public health challenge, particularly impacting individuals exposed to ionizing radiation (IR) through medical treatments, occupational settings, and environmental factors. Effective therapeutic strategies require a deep understanding of the mechanisms underlying RIC formation (RICF). This study investigates the roles of angiotensin II (Ang II) and oxidative stress in RIC development, with a focus on their combined effects on lens transparency and cellular function. Key mechanisms include the generation of reactive oxygen species (ROS) and oxidative damage to lens proteins and lipids, as well as the impact of Ang II on inflammatory responses and cellular apoptosis. …

Persistent Net Release Of Carbon Dioxide And Methane From An Alaskan Lowland Boreal Peatland Complex, Eugénie S. Euskirchen, Colin W. Edgar, Evan Kane, Mark P. Waldrop, Rebecca B. Neumann, Kristen L. Manies, Thomas A. Douglas, Catherine Dieleman, Miriam C. Jones, Merritt R. Turetsky

Michigan Tech Publications

Permafrost degradation in peatlands is altering vegetation and soil properties and impacting net carbon storage. We studied four adjacent sites in Alaska with varied permafrost regimes, including a black spruce forest on a peat plateau with permafrost, two collapse scar bogs of different ages formed following thermokarst, and a rich fen without permafrost. Measurements included year-round eddy covariance estimates of net carbon dioxide (CO2), mid-April to October methane (CH4) emissions, and environmental variables. From 2011 to 2022, annual rainfall was above the historical average, snow water equivalent increased, and snow-season duration shortened due to later snow return. Seasonally thawed active …

Interest In Over-The-Counter Progestin-Only Pills Among Transgender, Nonbinary, And Gender-Expansive Individuals In The United States, Kate Grindlay, Juno Obedin-Maliver, Sachiko Ragosta, Jen Hastings, Mitchell R. Lunn, Annesa Flentje, Matthew R. Capriotti, Zubin Dastur, Micah E. Lubensky, Heidi Moseson

Faculty Research, Scholarly, and Creative Activity

Background: In July 2023, the US Food and Drug Administration approved the first nonprescription oral contraceptive, a progestin-only pill, in the United States. Transgender, nonbinary, and gender-expansive people assigned female or intersex at birth face substantial contraceptive access barriers and may benefit from over-the-counter oral contraceptive access. However, no previous research has explored their perspectives on this topic. Objective: This study aimed to measure interest in over-the-counter progestin-only pill use among transgender, nonbinary, and gender-expansive individuals assigned female or intersex at birth. Study Design: We conducted an online, cross-sectional survey from May to September 2019 (before the US Food and …

Mitigating Risk: Predicting H5n1 Avian Influenza Spread With An Empirical Model Of Bird Movement, Fiona Mcduie, Cory T. Overton, Austen A. Lorenz, Elliott L. Matchett, Andrea L. Mott, Desmond A. Mackell, Joshua T. Ackerman, Susan E.W. De La Cruz, Vijay P. Patil, Diann J. Prosser, John Y. Takekawa, Dennis L. Orthmeyer, Maurice E. Pitesky, Samuel L. Díaz-Muñoz, Brock M. Riggs, Joseph Gendreau, Eric T. Reed, Mark J. Petrie, Chris K. Williams

Faculty Research, Scholarly, and Creative Activity

Understanding timing and distribution of virus spread is critical to global commercial and wildlife biosecurity management. A highly pathogenic avian influenza virus (HPAIv) global panzootic, affecting 600 bird and mammal species globally and over 83 million birds across North America (December 2023), poses a serious global threat to animals and public health. We combined a large, long-term waterfowl GPS tracking dataset (16 species) with on-ground disease surveillance data (county-level HPAIv detections) to create a novel empirical model that evaluated spatiotemporal exposure and predicted future spread and potential arrival of HPAIv via GPS tracked migratory waterfowl through 2022. Our model was …

Towards A Context-Contingent Stage Theory Of Entrepreneurial Opportunity: Introducing The Petii Model, Xiaohong Iris Quan

Faculty Research, Scholarly, and Creative Activity

Understanding opportunity is a crucial aspect of entrepreneurship research. Existing studies have extensively examined individual factors in facilitating entrepreneurial activities such as new venture creation. Although there are some discussions on contextual factors, few connect context with the origin of entrepreneurship—opportunity. Recognising the objectivity of entrepreneurial opportunity, this theoretical article first proposes two types of opportunities—innovative opportunity and imitative opportunity—to understand the nature of opportunity. It then proposes a systematic framework—the PETII (Population, Economic status, Technological advancement, Industry life cycle, Institutions) model—to analyse the role of context in the distribution of opportunity. Furthermore, it examines how both objective contextual factors …

Vehicular Traffic Flow Prediction Via Decentralized Federated Meta-Learning, Andrew Selvia, Ankur Singh, Wencen Wu

Faculty Research, Scholarly, and Creative Activity

Traffic flow prediction (TFP) has become a crucial problem for billions of people who rely on traffic predictions to optimize their travels every day. In this paper, we present a decentralized federated meta-learning (DFML) framework for traffic flow prediction. Within this framework, traffic detectors spread across a road system can form federations with nearby peers in order to predict traffic collaboratively. A node that assembles a federation assumes the role of receiver while the remainder are assigned as broadcasters. The broadcasters learn model parameters from local data and then broadcast those models to receivers, thereby enriching the available information from …

Validation Of Proprioception Measures Of The Lumbar Spine, C. Larivière, A. H. Eskandari, H. Mecheri, C. Duclos

Études primaires

Background: To better personalize treatment and monitor recovery of individuals with low back pain, objective tests of sensorimotor functions, such as lumbar proprioception, must be selected based on their reliability and validity. The primary objective of this study was to test the concurrent validity of three measures of lumbar proprioception. Methods: Thirty-one participants performed three lumbar proprioception tests (motion perception threshold, active and passive joint positioning sense), a whole-body mobility and balance (time up-and-go) and two trunk-specific postural control (threshold of stability and sensor-based sway measures) tests. Results: Only the motion perception threshold proprioception test showed some validity, correlating with …

Workers’ Worries, Pain, Psychosocial Factors, And Margin Of Manoeuvre, In Relation To Outcomes In A Return-To-Work Program: An Exploratory Study, Marie-France Coutu, Marie-José Durand, Fergal O’Hagan, Patrick Gosselin, Iuliana Nastasia, Djamal Berbiche, Marie-Élise Labrecque, Sara Pettigrew, Martine Bordeleau

Études primaires

Purpose: To explore the intensity and variation of workers’ worries, pain, psychosocial factors, and margin of manoeuvre before and after a return-to-work program, and identified the psychosocial factors associated with non-return to work at the end of the rehabilitation program. Methods: A pre-post study design was used. A convenience sample of 80 workers starting a return-to-work program and having a compensated musculoskeletal injury that caused an absence of more than three months from their regular work was recruited. Data were collected at baseline and at the end of the rehabilitation program on the nature of the worries and maintenance factors …

Quantifying The Impact Of A Constructed Wetland On Downstream Nitrate Concentrations And Loads In The U.S. Midwest, Elliot Anderson, Keith E. Schilling, Craig L. Just, Bong Chul Seo

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Constructed wetlands are standard conservation practices used to reduce nitrate loads in agricultural watersheds. Many studies have examined the efficiency of denitrification in wetlands under various scenarios, but quantifying the watershed-scale impact of wetlands on downstream nitrate levels is rarely done using field observations. In this study, we estimated nitrate removal in a constructed wetland in the headwaters of Mud Creek, a HUC12 watershed in eastern Iowa, from May–September 2022 and May–September 2023 (a ten-month period). We also measured nitrate loads at four successive downstream sites, three along Mud Creek and one below its confluence with the larger Cedar River. …

Electrostatic Sorting Of Lunar Regolith Simulants For Sustainable Resource Utilization: Modeling And Characterization Of Particle Size Distribution, Abdullah Al Moinee, Peter Bachle, Kyle Newport, William Schonberg, David Bayless, Jeffrey Smith, Daoru Han, Fateme Rezaei

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In pursuit of sustainable resource utilization on the Moon, this paper delves into modeling and characterization of particle size distribution (PSD) of lunar regolith simulants in an electrostatic system. A prototype electrostatic sieve was built and tested with four sample simulants mirroring properties of lunar mare and highland regolith. An alternating four-phase (90 degrees, 180 degrees, 270 degrees, 360 degrees) traveling square-wave was utilized for particle-directed transport to model the diverse trajectories of the particles. Numerically, we scrutinized how the distribution functions of the particles are manifested as the electrostatic field propagates, with a focus on three distinct particle ranges …

Salmonella Detection In Food Using A Hek-Htlr5 Reported Cell-Based Sensor, Esma Eser, Victoria A. Felton, Rishi Drolia, Arun K. Bhunia

Biological Sciences Faculty Publications

The development of a rapid, sensitive, specific method for detecting foodborne pathogens is paramount for supplying safe food to enhance public health safety. Despite the significant improvement in pathogen detection methods, key issues are still associated with rapid methods, such as distinguishing living cells from dead, the pathogenic potential or health risk of the analyte at the time of consumption, the detection limit, and the sample-to-result. Mammalian cell-based assays analyze pathogens’ interaction with host cells and are responsive only to live pathogens or active toxins. In this study, a human embryonic kidney (HEK293) cell line expressing Toll-Like Receptor 5 (TLR-5) …

Ai And Ml-Based Risk Assessment Of Chemicals: Predicting Carcinogenic Risk From Chemical-Induced Genomic Instability, Ajay Vikram Singh, Preeti Bhardwaj, Peter Laux, Prachi Pradeep, Madleen Busse, Andreas Luch, Akihiko Hirose, Christopher J. Osgood, Michael W. Stacey

Biological Sciences Faculty Publications

Chemical risk assessment plays a pivotal role in safeguarding public health and environmental safety by evaluating the potential hazards and risks associated with chemical exposures. In recent years, the convergence of artificial intelligence (AI), machine learning (ML), and omics technologies has revolutionized the field of chemical risk assessment, offering new insights into toxicity mechanisms, predictive modeling, and risk management strategies. This perspective review explores the synergistic potential of AI/ML and omics in deciphering clastogen-induced genomic instability for carcinogenic risk prediction. We provide an overview of key findings, challenges, and opportunities in integrating AI/ML and omics technologies for chemical risk assessment, …

Natural Enemies Of Varroa Destructor Identified From Eastern North America Honey Bee Colonies: A Biological Survey Of Candidates For Mite Control From Maryland, Usa, Francisco Posada-Flórez, Daniel Sonenshine, Jay Evans, Dawn Boncristiani, Monica Pava-Ripoll, Steven Cook

Biological Sciences Faculty Publications

A survey was conducted of microbes and arthropods associated with Varroa destructor (Acari: Varroidae) mites (hereafter, Varroa) collected from honey bee colonies in Maryland, USA. Live Varroa were challenged with samples of both microbes and arthropods and assessed for their potential as biocontrol agents against the mites. To our knowledge, this is the first survey of natural enemies of Varroa conducted in North American honey bee colonies. The survey revealed 21 fungi, 25 bacteria, one nematode, and 8 arthropod species associated with Varroa in honey bee colonies, and from challenge assays using 11 of these, including 4 species of …

Abalones At Risk: A Global Red List Assessment Of Haliotis In A Changing Climate, Howard Peters, Gina M. Ralph, Laura Rogers-Bennett

Biological Sciences Faculty Publications

There is increasing awareness that marine invertebrates such as abalones are at risk from the combined stressors of fishing and climate change. Abalones are an important marine fishery resource and of cultural importance to Indigenous and non-Indigenous people. A highly priced marine delicacy, they are inherently vulnerable: individuals are slow-growing and long-lived and successful reproduction requires dense assemblages. However, their global conservation status is poorly understood. Using IUCN Red List methodology, we assessed the extinction risk to all 54 species of abalone (genus Haliotis). Of the 21 fished commercially for human consumption either now and/or in the past, 15 …

Taxonomic Status, Distribution And Conservation Of The Critically Endangered Plant Psychotria Angustata (Rubiaceae), Walter Simbaña, Alan Tye, Timothy J. Motley, Uno Eliasson

Biological Sciences Faculty Publications

Simbaña, W.; A. Tye, T. J. Motley & U. Eliasson. 2024. Taxonomic status, distribution and conservation of the Critically Endangered plant Psychotria angustata (Rubiaceae), endemic to Floreana Island, Galapagos. Darwiniana, nueva serie 12(2): 204-219.

Two species of Psychotria have been recognised in the Galapagos Islands, both understorey shrubs endemic to the archipelago: P. rufipes Hook.f. occurs on seven islands, including Floreana, while P. angustata Andersson is endemic to Floreana. Since their mid-19th century discovery, the taxonomic and ecological status of these species has been uncertain. To clarify this, we examined historical specimens and numerous recent collections of both species, and …

Effect Of Concrete Mix Design Factors On Static Yield Stress Changes Due To Vibration, Ahmed Abd El Fattah, Dimitri Feys, Kyle Riding, Syed Imran

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Digital fabrication of concrete structures has gained substantial research traction over the last decade, enabling efficient material use and adding more architectural freedom. Current research focuses on chemical and mineral admixtures, as well as manipulating the cement hydration reaction to control the yield stress evolution with time in the cement paste. Instead of providing yield stress through the concrete fluid properties, a high yield stress can be provided by interparticle friction from the use of high aggregate volumes and large nominal maximum aggregate size, with flow enhanced for material extrusion by vibration. Granular physics was applied to concrete mixture design …

Scshm Benchmark Study On Bridge In-Service Structural Monitoring, Maria Pina Limongelli, Doug Thomson, Sreenivas Alampalli, Aftab Mufti, Thomas Schumacher, Luca Martinelli, Othmane Lasri, Harry Shenton, Genda Chen, Mohammad Noori, Farnaz Raeisi, Ahmed Silik, Ji Dang, Ray Hoemsen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The mission of the Society of Civil Structural Health Monitoring (SCSHM, previously known as ISHMII) is to advance the understanding and application of structural monitoring methodologies for the management of civil infrastructure systems. To enable comparative and contrasting studies of various monitoring issues and technologies, the SCSHM Committee on Data-Enhanced Infrastructures Management (DEIMC) identified the need for benchmark problems in the areas of bridge and building structural monitoring. This article reports and briefly discusses the first benchmark study on in-service structural monitoring of bridges that was developed in collaboration with the University of Manitoba, and presents the structure details, study …

Studying Contribution Of Associated Stakeholders In Risk Control Of Modularized Construction Under Different Project Delivery Methods: A Graph-Restricted Cooperative Games Approach, Mohamad Abdul Nabi, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Modularization is associated with various project benefits including cost savings, schedule reduction, improved quality, among others. However, successful implementation of modular projects requires early collaboration and proactive management of various associated risks. Both project communication structures and early engagement of all project stakeholders have a great impact on risk mitigation efficiency in modular construction. The goal of this paper is to study the stakeholders' contribution in risk control of modular construction projects under different delivery methods. To this end, the authors followed a multistep methodology including (1) literature analysis to assign 17 modular risks among the various project stakeholders; (2) …

System Dynamics Modeling For Investigating The Retention Of Skilled Labor In The Construction Market, Tamima Elbashbishy, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Limited skilled labor has been one of the greatest challenges facing the construction industry, especially after COVID. In 2019, around 80% of contractors in the US reported problems in hiring enough skilled workers. Labor retention has been one of the major contributors to skilled labor shortages in construction. The goal of this paper is to study the impact of key construction industry characteristics and economic conditions on skilled labor shortages. This goal is achieved by simulating the flow of skilled workers throughout the construction industry. To this end, a system dynamics (SD) model was developed to represent skilled labor and …

An Agent-Based Cellular Automaton Simulation Model To Study Worker Safety Behavior On Construction Sites: The Impacts Of Different Social Influence Rules, Rayan H. Assaad, Mohamad Abdul Nabi, Ghiwa Assaf, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The unsafe behavior of the construction workforce is one of the leading causes of accidents in the construction industry. It has been shown that construction laborers perceive the safety behavior of their co-workers and adjust their personal safety attitudes accordingly. Thus, there has been an increasing attention to studying the impacts of the social influence and norms on the safety behavior of construction workers. While existing studies examined the factors that influence the safety behavior of the construction workforce, there is little-to-no research that specifically focused on modeling the role of social influence on the safety behavior of the workers. …

A Fuzzy Model And Decision-Support Tool For Assessing And Predicting The Probability Of Bankruptcy Of Construction Companies, Rayan H. Assaad, Ghiwa Assaf, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Construction firms face considerable risks that might lead to business bankruptcy. Failed construction companies leave behind unfinished projects, which leads to huge losses to project owners. While previous studies were conducted to understand the factors that contribute to the bankruptcy of construction organizations, little to no research was performed to quantitatively assess the risk of construction business bankruptcy. Hence, this paper addresses this knowledge gap by developing a fuzzy model for predicting the probability of business bankruptcy of construction companies. First, the following six failure warning signs were considered: financial management system, borrowed credit, estimating and job-cost reporting, project management, …

Predicting Construction Costs Under Uncertain Market Conditions: Probabilistic Forecasting Using Autoregressive Recurrent Networks Based On Deepar, Ghiwa Assaf, Rayan H. Assaad, Islam H. El-Adaway, Mohamad Abdul Nabi

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Projects Often Experience Cost Overruns Due To Market Uncertainty And Price Escalations. Traditional Cost Estimation Methods That Rely On Point Estimation Are Incapable Of Providing Prediction Intervals As Well As Probabilistic Assessment. Thus, There Is Need For An Innovative Approach To Predict The Changes And Uncertainties In Construction Material Costs. This Paper Proposes A Novel Stochastic Model To Estimate Construction Material Costs By Applying Probabilistic Forecasting Using Autoregressive Recurrent Networks. First, Price Data Was Collected For Four Different Construction Materials. Second, Data Was Divided Into A Training Set (Pre-COVID-19) And A Testing Test (Post-COVID-19). Third, The State-Of-The-Art DeepAR Algorithm Was …

Analyzing The Impact Of Db Versus Dbb On Cost Performance In Airport Development: A Data-Driven Approach, Ramy Khalef, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The Construction Of Airport Projects Can Be Complex And Costly Due To The Many Stakeholders Involved And Associated Strict Timelines. Traditional Delivery Methods, Such As Design-Bid-Build (DBB), Employed In Airport Projects Often Result In Major Cost Overruns Due To Multiple Facets. Design-Build (DB) Is A Construction Method That Combines Design And Construction Under A Single Entity, And It Has The Potential To Improve Cost Performance. None Have Evaluated DB From A Cost Perspective In The Airport Sector. This Research Fills This Gap. First, The Data Is Collected And Assessed For Validity. Second, Risk Ratings For Cost Performance Are Computed. Finally, …

An Accurate-Pricing Estimate Game-Theoretic Model For Determining Price Escalations In Construction Projects During Economic Uncertainties, Yasser Jezzini, Rayan H. Assaad, Islam H. El-Adaway, Mohamad Abdul Nabi

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Economic Market Uncertainties, Such As Those Experienced During The COVID-19 Pandemic, Can Make Determining Accurate Prices Estimate For Construction Materials A Challenging Task. While Previous Research Focused On The Contractual Aspect Of This Issue By Studying Price Escalation Clauses, There Is Still A Gap In The Literature When It Comes To Proposing An Accurate Pricing Model. Thus, This Study Develops An Accurate Pricing-Estimate Game-Theoretical Model That Can Efficiently And Competitively Account For Escalations In Construction Materials Prices During Uncertain Market Conditions. First, Data On Past Producer Price Indexes (PPIs) Of Different Construction Materials Were Collected. Second, The Percentage Changes In …

North Haverhill Fair 4-H Exhibit Hall Information Packet - 2024, Extension

UNH Cooperative Extension

No abstract provided.

Naviguer L'Altérité Et L'Appartenance Au Milieu De La Modernisation : Les Pygmées Du Cameroun À Travers Le Cinéma, Blaine Thomas , '24

Senior Theses, Projects, and Awards

No abstract provided.

The Legal Metaverse And Comparative Taxonomy: A Reappraisal, Ugo Mattei

Faculty Scholarship

The present Article revisits my “Three Patterns of Law: Taxonomy and Change in the World’s Legal Systems”—published in this very Journal a quarter century ago—which acknowledged the ideological nature of the law versus politics distinction and posited taxonomy as a means for understanding law. The original article classified law into professional law, political law, and traditional law, and heralded the tentative and dynamic natures of such classification. The two purposes of the present Article are to (i) reflect on legal transformations that have since occurred as reactions to global geopolitical, technological, and economic changes, and (ii) interrogate whether epistemological assumptions …

Ai & Antitrust: The Algorithm Made Me Do It, Robin Feldman, Caroline Yuen

Faculty Scholarship

As the dawn of artificial intelligence (“AI”) rises rapidly, competition authorities should contemplate the potential for hazy days ahead. Undoubtedly, AI’s already ubiquitous presence offers exciting possibilities, from enhancing efficiency, to leveling the playing field for non-native speakers,to enabling scientific discovery.Despite these breathtaking advancements, however, recent data from the Pew Research Center reveal that only 15% of adults surveyed were “more excited than concerned about the increasing use of AI in daily life,” with 46% expressing “an equal mix of concern and excitement.”

Policymakers also manifest concerns about AI, exemplified by the extent to which government actors are racing to …

Comparison Of Lidocaine Viscous Gargle And Topical Application On Laryngeal Mask Airway In General Anesthesia: A Randomized Clinical Trial, Yan Peng, Ju Qian, Yiqun Mao

Saudi Medical Journal

Objectives: To investigate the effects and safety of lidocaine viscous gargle on postoperative sore throat (POST) in patients receiving a laryngeal mask airway (LMA) in general anesthesia. Methods: In this randomized controlled trial, 90 patients undergoing urological surgery were allocated into 2 treatment arms (n=45): lidocaine viscous gargle before LMA insertion (Group G) and topical application of lidocaine viscous on the LMA (Group T). Outcome data were collected before placement of LMA (T0), after insertion of LMA (T1), immediately (T2), one hour (T3), and 24 hours after removal of LMA (T4). We analyzed the incidence of POST, pharynx dryness, and …