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Articles 6481 - 6510 of 255617
Full-Text Articles in Life Sciences
Intelligent Torque Control Of Switched Reluctance Motors Based On Ditc And Wavelet Neural Network, Ameer L. Saleh, László Számel
Intelligent Torque Control Of Switched Reluctance Motors Based On Ditc And Wavelet Neural Network, Ameer L. Saleh, László Számel
Mansoura Engineering Journal
Switched Reluctance Motors (SRMs) have been considered a high-performance and environmentally friendly solution for Electric Vehicle (EV) applications owing to their simpler construction, robust design, and high efficiency. However, it suffers from high torque ripple and acoustic noise due to its highly nonlinear magnetic characteristics and double-salient structure. This paper introduces a nonlinear torque control based on the Direct Instantaneous Torque Control (DITC) scheme and a Wavelet Neural Network (WNN) to achieve better dynamic response and mitigate torque ripple. The proposed WNN is employed as a nonlinear torque controller, inserted between the torque error and the hysteresis torque controller within …
Reliability-Oriented Spatiotemporal Machine Learning For High-Impact Power Outage Event Prediction, Marwa Gamal
Reliability-Oriented Spatiotemporal Machine Learning For High-Impact Power Outage Event Prediction, Marwa Gamal
Mansoura Engineering Journal
Power outages have become an increasing concern for modern power systems due to their impact on infrastructure reliability, economic activities, and public safety. The growing frequency of extreme weather events and the rising demand for electricity have made it more difficult to anticipate high-impact outage events. One of the main challenges in this context is the complex interaction between temporal patterns and geographic variations, which traditional methods often fail to capture effectively. This study develops a machine learning framework that combines temporal characteristics with geographic information to improve the prediction of high-impact power outages. Temporal features such as seasonal patterns, …
Psychological Impact Of Cultural Heritage Vr Experience Using Well-Mind Framework. (Case Study: Mahmoud Sami Palace In Mansoura)., Sara Ahmed El-Bayoumi, Hager Ahmed El-Sayed El-Ayouti, Mohamed Mohamed Shawki Abo Leila
Psychological Impact Of Cultural Heritage Vr Experience Using Well-Mind Framework. (Case Study: Mahmoud Sami Palace In Mansoura)., Sara Ahmed El-Bayoumi, Hager Ahmed El-Sayed El-Ayouti, Mohamed Mohamed Shawki Abo Leila
Mansoura Engineering Journal
This study examines the psychological effects of immersive virtual reality (VR) experiences designed to preserve and disseminate intangible cultural heritage. It addresses the growing challenge of declining cultural engagement and the need for innovative tools that support psychological well-being, emotional engagement, and cultural connection. A VR-based reconstruction was developed within the historic Mahmoud Sami Al-Baroudi Palace in Mansoura, Egypt, focusing on traditional Egyptian practices and oral storytelling. The evaluation employed the WELL-MIND framework alongside participant feedback to assess both structured well-being indicators and subjective user experiences. The WELL-MIND-based assessment indicated improvements in cognitive stimulation, emotional engagement, and environmental perception. In …
A Hybrid Geospatial And Remote Sensing Methodology For Drought Vulnerability Assessment In Semi-Arid Ecosystems, Kaifi Fakhir Chomani
A Hybrid Geospatial And Remote Sensing Methodology For Drought Vulnerability Assessment In Semi-Arid Ecosystems, Kaifi Fakhir Chomani
Mansoura Engineering Journal
The Kurdistan Region of Iraq (KRI) faced significant drought challenges due to global and environmental changes, necessitating drought assessments. Advanced techniques of remote sensing, Geographic Information Systems (GIS), and Analytic Hierarchy Process (AHP) were combined in this research to perform drought vulnerability zonation for KRI. Average annual rainfall, Average number of rainy days, Average annual temperature, slope, elevation, normalised difference water index (NDWI), normalised difference vegetation index (NDVI), land surface temperature (LST), and temperature condition index (TCI) were selected as contributing parameters for drought vulnerability assessments. The considered parameters were weighted using pairwise comparison, and thematic maps were created to …
Control Of Steel Corrosion Using Natural Corrosion Inhibitor, Rasha A. Nasef, O. Hamed, M. M. El-Halwany, M. H. Mahmoud
Control Of Steel Corrosion Using Natural Corrosion Inhibitor, Rasha A. Nasef, O. Hamed, M. M. El-Halwany, M. H. Mahmoud
Mansoura Engineering Journal
This study investigates corrosion control of AISI 430 stainless steel in 1M HCl medium using an eco-friendly inhibitor extracted from pomegranate peel (PPE). The inhibition efficiency was evaluated at different PPE concentrations, with the highest applied concentration of 13g/L. Corrosion behavior was evaluated through weight-loss measurements and potentiodynamic polarization techniques conducted at room temperature.
The experimental results showed that corrosion resistance improved as the inhibitor concentration increased. Lower corrosion rates were observed in the presence of PPE, along with reduced anodic and cathodic activities, indicating that the extract functions as a mixed-type inhibitor. Surface analysis confirmed the formation of …
Optimal Design Of Concrete Canal Section For Minimizing Overall Costs Using Artificial Ecosystem Optimization, Aya M. Elkhouly, Hamdy A. El-Ghandour, Tharwat Sarhan, Mahmoud E. Abd-Elmaboud
Optimal Design Of Concrete Canal Section For Minimizing Overall Costs Using Artificial Ecosystem Optimization, Aya M. Elkhouly, Hamdy A. El-Ghandour, Tharwat Sarhan, Mahmoud E. Abd-Elmaboud
Mansoura Engineering Journal
The optimal design of concrete-lined canals represents a critical challenge in hydraulic engineering, requiring simultaneous minimization of construction and operational costs while satisfying hydraulic performance constraints. This study presents a novel optimization framework that utilizes the Artificial Ecosystem-based Optimization (AEO) algorithm for determining optimal canal cross-sectional dimensions. The proposed methodology comprehensively considers excavation costs, lining expenses, and water losses due to seepage and evaporation while ensuring hydraulic efficiency through velocity and Froude number constraints. The AEO algorithm mimics natural ecosystem processes through production, consumption, and decomposition phases to efficiently explore the design space and converge to global optima. The framework …
The Multiwalled Carbon Nanotube-Incorporated Cfrp Laminates Interlaminar Fracture Toughness, Nikhil Janardan Rathod, Markala Karthik, Harshvardhan P. Ghongade, Javed Sikandar Shaikh, Rahul Soma Deshmukh
The Multiwalled Carbon Nanotube-Incorporated Cfrp Laminates Interlaminar Fracture Toughness, Nikhil Janardan Rathod, Markala Karthik, Harshvardhan P. Ghongade, Javed Sikandar Shaikh, Rahul Soma Deshmukh
Mansoura Engineering Journal
The structural integrity of carbon fibre reinforced polymers (CFRPs) suffers from damage caused by interlaminar cracking and delamination which diminishes their performance capabilities. This study provides an experimental analysis of the impact of carboxyl-functionalized multi-walled carbon nanotubes (MWCNTs) on the Mode I interlaminar fracture toughness of CFRP laminates. The researchers created composite specimens by using epoxy systems which included MWCNT loadings of 0.1 wt% 0.2 wt% and 0.3 wt% together with an unmodified control. The researchers conducted Double Cantilever Beam (DCB) testing according to ASTM standards to ascertain the rate of critical strain energy release (G_IC) of the material. The …
Optimization Of Mechanical Properties Of Copper Nanofiller Reinforced Banana Fiber Polyester Composites Using Grey–Taguchi Method, Nikhil Janardan Rathod, Mayur Jayant Gitay, Markala Karthik, Harshwardhan Ghongade, Upendra Rajak, Rajendra Sopan Narkhede
Optimization Of Mechanical Properties Of Copper Nanofiller Reinforced Banana Fiber Polyester Composites Using Grey–Taguchi Method, Nikhil Janardan Rathod, Mayur Jayant Gitay, Markala Karthik, Harshwardhan Ghongade, Upendra Rajak, Rajendra Sopan Narkhede
Mansoura Engineering Journal
Mechanical performance of banana fiber-reinforced polyester composites maximized using a composite Taguchi and a Grey Relational Analysis (GRA) process. This will aim at enhancing dispensation limits to enhance better tensile, flexural and impact belongings. The hand lay-up method was used to create composites by variable three key limits and they included banana fiber content (30 wt%), copper nanoparticle content (15 wt%), and curing temperature (80 o C). Trial design and mechanical properties were being measured in form of ASTM values on a L9 orthogonal array.
The multi-response optimization was performed with the help of the Grey Relational Analysis, which was …
Construction-Phase Leed Compliance In Egypt: Development Of A Rule-Based Expert System For Contractor Decision Support, Mohamed R. Ahmed, Atef A. Ragab, Sameh Y. Mahfouz
Construction-Phase Leed Compliance In Egypt: Development Of A Rule-Based Expert System For Contractor Decision Support, Mohamed R. Ahmed, Atef A. Ragab, Sameh Y. Mahfouz
Mansoura Engineering Journal
This study develops a rule-based expert system implemented in Python to support contractors in achieving LEED BD+C: New Construction v4 certification during the construction phase in Egypt. The research identifies and validates construction-phase obstacles affecting LEED compliance through a structured questionnaire targeting building contractors in Egypt. The questionnaire process was conducted in two stages: a pilot survey was used to screen and refine the initially identified obstacles, while the main survey was used to validate the practical relevance of the retained obstacles within the Egyptian construction context. In parallel, the study analyzes construction-phase prerequisites and credits relevant to contractors through …
Data Collection Algorithm Based On Regression Analysis, Aiming To Minimize Data Processing Delays In 6g-Enabled Iot Networks, Archana Rajendra Mane, Sachin Vasant Chaudhari
Data Collection Algorithm Based On Regression Analysis, Aiming To Minimize Data Processing Delays In 6g-Enabled Iot Networks, Archana Rajendra Mane, Sachin Vasant Chaudhari
Mansoura Engineering Journal
Researchers are currently investigating 6G wireless communication technologies because they can offer ultra-low latency, high data rates, and smarter network management than 5G. IoT services have spurred the development of cutting-edge technologies such as quantum communications, terahertz (THz), and artificial intelligence (AI), all of which are expected to be included into the subsequent generation of 6G networks. This paper presents a regression-based data collection algorithm for 6G-enabled IoT networks that dynamically prioritizes data through Random Forest regression. With a Mean Absolute Error (MAE) of 0.62 ms and a Root Mean Squared Error (RMSE) of 0.83 ms, the proposed method can …
Frequent Pattern Mining With Optimized Gated Recurrent Units For Automated Waste Classification Systems In Smart Cities, Anupriya Garg, Ratish Kumar
Frequent Pattern Mining With Optimized Gated Recurrent Units For Automated Waste Classification Systems In Smart Cities, Anupriya Garg, Ratish Kumar
Mansoura Engineering Journal
Efficient waste segregation into biodegradable and non-biodegradable categories is a crucial requirement for sustainable smart city development. While Convolutional Neural Network (CNN)-based approaches have demonstrated promising performance, their high architectural complexity and limited adaptability often restrict real-time deployment. This paper proposes BnBCNet, a lightweight waste classification framework that reformulates image-based waste segregation as a sequential learning problem using Gated Recurrent Units (GRUs). To further enhance classification performance, Grey Wolf Optimization (GWO) is employed for hyperparameter optimization, while Adam optimizer is used for network weight updates. Experiments conducted on a publicly available waste segregation image dataset demonstrate that the proposed BnBCNet …
Teleoperated Mobile Robot For Pesticide Spraying And Greenhouse Navigation: Numerical Analysis, Wessam Atwa, Zakaria Ismail, Mohsen Egela, Mohamed G. Alkalla
Teleoperated Mobile Robot For Pesticide Spraying And Greenhouse Navigation: Numerical Analysis, Wessam Atwa, Zakaria Ismail, Mohsen Egela, Mohamed G. Alkalla
Mansoura Engineering Journal
Pesticide spraying in greenhouses is a dangerous process as the operator should wear protective suits and masks against the chemicals, which cause skin and eye irritation, respiratory issues, and even cancer. Other severe conditions involve elevated temperature and humidity in the confined greenhouse atmosphere. Therefore, this article proposes a novel teleoperated mobile robot for pesticide spraying called AMR-BPS to address such issues. It aims to keep the human securely outside during the spraying process. AMR-BPS has a novel design incorporating many innovative mechanisms, such as an extendable spraying boom, independent control of each spraying side, adjustable nozzle angles, and 2D-LiDAR …
Conductive Bitumen And Asphalt Mixtures For Smart Pavements: De-Icing And Snow Melting, Self-Healing, Energy Harvesting, And Self-Sensing Monitoring, Ahmed Fouda, Pengfei Liu, Aboelkasim Diab, Lingyun You, Fan Gu, Xu Yang, Alaa Gabr, Sherif El-Badawy, Ahmed Awed
Conductive Bitumen And Asphalt Mixtures For Smart Pavements: De-Icing And Snow Melting, Self-Healing, Energy Harvesting, And Self-Sensing Monitoring, Ahmed Fouda, Pengfei Liu, Aboelkasim Diab, Lingyun You, Fan Gu, Xu Yang, Alaa Gabr, Sherif El-Badawy, Ahmed Awed
Mansoura Engineering Journal
Evolving transportation infrastructure requires transitioning from passive roadways to smart, multifunctional pavement systems. This review synthesizes research on conductive bitumen and asphalt mixtures engineered for self-heating, self-healing, and self-sensing capabilities. Self-heating enables conductive pavements to generate heat internally via Joule heating or electromagnetic induction, raising surface temperatures for de-icing or healing activation without external heat.
Based on percolation theory, integrating conductive additives from carbon-based fillers (graphite powder, GP; carbon black, CB; graphene) to metallic fibers (steel wool, SW; steel fibers, SFs)—transforms the insulating bituminous matrix into a conductive composite. A key trade-off exists: fibrous additives like carbon fibers (CFs) and …
Brightspace Video Notes, Leanne Harris
Brightspace Video Notes, Leanne Harris
Case studies: Digital Education
Enhancing flexible access to module content, particularly announcements, was the key driver behind the use of Video Notes. This approach supports a more personalised form of interaction by using short videos to communicate updates such as timetable changes, assessment deadlines, and grade releases. By allowing students to both see and hear their lecturer alongside reading written information, Video Notes create a more interactive and informative experience. This contributes to a more immersive VLE environment, helping to strengthen the student - lecturer connection by reducing cognitive distance. Overall, the aim is to enhance the student learning experience while supporting Universal Design …
Club Sport Injury Rates, Injury Characteristics, Functional Movement Screen Relationships, And Impact Of Core Training, Rebecca Carson
Club Sport Injury Rates, Injury Characteristics, Functional Movement Screen Relationships, And Impact Of Core Training, Rebecca Carson
Graduate Studies Theses and Dissertations 2026
It is estimated that over 10% of college students take part in club sports at their college or university, yet sport-related injuries are a common consequence of participation. The Functional Movement Screen™ (FMS™) is a movement analysis tool that identifies functional deficits and asymmetries and is widely applied in athletic settings to assess injury risk and inform rehabilitation and injury prevention programs. Core strength and stability play a crucial role in functional movement quality and may even reduce risk of injury and improve sport performance. This dissertation aimed to establish club sport injury rates and characteristics for club men’s ice …
Understanding The Potential Biogeochemical Effects Of Alternative Restoration Materials: A Study Of Basalt And Other Materials, Cadie L. Barnes
Understanding The Potential Biogeochemical Effects Of Alternative Restoration Materials: A Study Of Basalt And Other Materials, Cadie L. Barnes
Graduate Studies Theses and Dissertations 2026
Concern over the effects of microplastics on estuarine ecosystems and public health has prompted many restoration practitioners to switch from plastic materials to more “natural” substrates. These natural (BESE-biopolymer, cement-jute structures) and non-plastic (basalt fiber) materials should not contain harmful substances; however, their chemical composition is unknown. Natural materials may degrade faster in subtropical environments and release nutrients into surrounding waters, which is concerning for eutrophic restoration areas. Basalt fiber bags, made from melted basalt rock spun into fibers, have not been evaluated for biogeochemical impacts within estuaries. To address this knowledge gap, two field experiments and two laboratory experiments …
Contents, Discovery Editors
Contents, Discovery Editors
Discovery, The Student Journal of Dale Bumpers College of Agricultural, Food and Life Sciences
No abstract provided.
Discovery: The Student Journal Of Dale Bumpers College Of Agricultural, Food And Life Sciences - Volume 27 2026, Several Authors
Discovery: The Student Journal Of Dale Bumpers College Of Agricultural, Food And Life Sciences - Volume 27 2026, Several Authors
Discovery, The Student Journal of Dale Bumpers College of Agricultural, Food and Life Sciences
No abstract provided.
A Field Test Of The Role Of Biofluorescence In Territorial Salamanders, Kasey Watterson, Cari-Ann M. Hickerson, Carl Anthony
A Field Test Of The Role Of Biofluorescence In Territorial Salamanders, Kasey Watterson, Cari-Ann M. Hickerson, Carl Anthony
2026 Faculty Bibliography
Biofluorescence is recognized as an important form of visual communication, yet its function remains largely untested in many terrestrial species. In Eastern Red-Backed Salamanders (Plethodon cinereus), fluorescence of the postcloacal gland is a sexually dimorphic trait most strongly expressed in males. Because fluorescence can be displayed during territorial contests, we hypothesized that fluorescence in male P. cinereus would be positively related to resource holding potential (RHP) of territorial residents in the field. To test this hypothesis, we examined the relationship between fluorescence and two separate variables: body condition (as a proxy for RHP) and territory quality (the expected payoff from …
Cross-Domain Antimicrobial Resistance In Poultry Farming: A One Health Assessment Of Antimicrobial Use And Multidrug Resistance In Kiambu County, Kenya, Ann Kangai Munene, Peter Muiruri Mwangi, Lilly Caroline Bebora, Christine Minoo Mbindyo, John Muthini Maingi
Cross-Domain Antimicrobial Resistance In Poultry Farming: A One Health Assessment Of Antimicrobial Use And Multidrug Resistance In Kiambu County, Kenya, Ann Kangai Munene, Peter Muiruri Mwangi, Lilly Caroline Bebora, Christine Minoo Mbindyo, John Muthini Maingi
All Peer-Reviewed Publications
Background and Aim: Antimicrobial resistance (AMR) has emerged as a major One Health threat driven by inappropriate antimicrobial use (AMU) in humans, animals, and the environment. Poultry production is recognized as a key reservoir of antimicrobial-resistant bacteria, yet few studies in Kenya examine AMU and AMR across interconnected human–animal–environment domains. This study assessed AMU patterns among poultry farmers in Kiambu County and characterized phenotypic resistance in Escherichia coli and Enterococcus spp. isolated from humans, chickens, and chicken environments. Materials and Methods: A cross-sectional study was conducted from May to September 2024, involving 102 poultry farms. Farm demographics and AMU data …
Mapping Robusta Coffee (Coffea Canephora) Cropping Systems In Uganda: A Two-Step Pixel And Sub-Pixel Based Approach With Sentinel-2 Data, Getachew Kebede, Bester Tawona Mudereri, Onisimo Mutanga, Tobias Landmann, John Odindi, Natacha Motisi, Fabrice Pinard, Henri E.Z. Tonnang, Elfatih M. Abdel-Rahman
Mapping Robusta Coffee (Coffea Canephora) Cropping Systems In Uganda: A Two-Step Pixel And Sub-Pixel Based Approach With Sentinel-2 Data, Getachew Kebede, Bester Tawona Mudereri, Onisimo Mutanga, Tobias Landmann, John Odindi, Natacha Motisi, Fabrice Pinard, Henri E.Z. Tonnang, Elfatih M. Abdel-Rahman
All Peer-Reviewed Publications
Coffee is a highly valued commodity and a widely consumed beverage, playing an important role in global trade. However, coffee farming landscapes are increasing transitioning into smaller-scale agricultural setups. This transformation highlights the critical need for accurate classification and mapping of coffee cropping systems (CS), especially in countries like Uganda, where dense vegetation and complex terrain present substantial challenges to traditional land survey methods. Moreover, understanding the spatial distribution of Robusta coffee (Coffea canephora) CS is essential for developing site-specific management strategies, guiding extension services, and informing evidence-based policy decisions. To address this gap, the present study aimed to enhance …
A Systematic Review And Meta-Analysis Of Mosquito Arboviral Infections Detected Through Xenosurveillance In Africa: A Focus On West Nile, Rift Valley Fever, And Chikungunya Virus Infections, Mxolisi Mgongoma, Armanda Bastos, Abel Ramoelo, David P. Tchouassi
A Systematic Review And Meta-Analysis Of Mosquito Arboviral Infections Detected Through Xenosurveillance In Africa: A Focus On West Nile, Rift Valley Fever, And Chikungunya Virus Infections, Mxolisi Mgongoma, Armanda Bastos, Abel Ramoelo, David P. Tchouassi
All Peer-Reviewed Publications
This systematic review and meta-analysis comprehensively evaluated the mosquito arboviral infections with West Nile virus (WNV), Rift Valley fever virus (RVFV), and chikungunya virus (CHIV), detected through xenosurveillance, reported in mosquito vectors across Africa in the last 25 years (2000–2024). The study analysed xenosurveillance data from 45 studies conducted with over 115,000 mosquito specimens, and incorporated moderator analyses to assess the influence of trap type, seasonality, regional location, settlement type, and screening methods on virus detection rates. The estimated pooled prevalence of WNV was 1.18% (95% CI: 0.60–3.43%), with higher rates observed in Culex quinquefasciatus and Culex pipiens, particularly in …
Optimal Control Analysis Of Malaria Transmission In The Presence Of Insecticide Resistance And Climate Variability In Kenya, Lorna Chepkemoi, Titus Okello Orwa, Samuel Mwalili, Rachel Waema Mbogo, Steeven Belvinos Affognon, Daisy Salifu, Henri E.Z. Tonnang
Optimal Control Analysis Of Malaria Transmission In The Presence Of Insecticide Resistance And Climate Variability In Kenya, Lorna Chepkemoi, Titus Okello Orwa, Samuel Mwalili, Rachel Waema Mbogo, Steeven Belvinos Affognon, Daisy Salifu, Henri E.Z. Tonnang
All Peer-Reviewed Publications
Malaria remains a major public health concern in Kenya, where changing climatic conditions, insecticide resistance, and mosquito behavioral adaptations continue to challenge control efforts. This study develops and analyzes a climate-sensitive malaria transmission model that incorporates mosquito behavior, insecticide resistance, and vector–human ecological dynamics to identify optimal control strategies for the Kenyan context. The model’s well-posedness was established, the basic reproduction number (R0) computed using the next-generation matrix method, and the stability of equilibrium points assessed. Spatial analysis of R0 was performed using temperature and rainfall raster data to map transmission risk across Kenya under varying insecticide use scenarios. Results …
Editorial: Sustainable Management Of Tuta Absoluta, Ahmad A. Omar, Inusa Jacob Ajene, Hafiz Muhammad Usman Aslam, Fathiya Mbarak Khamis
Editorial: Sustainable Management Of Tuta Absoluta, Ahmad A. Omar, Inusa Jacob Ajene, Hafiz Muhammad Usman Aslam, Fathiya Mbarak Khamis
All Peer-Reviewed Publications
The tomato leafminer, Tuta absoluta (Meyrick), remains one of the most devastating global threats to tomato production. Its rapid invasion across continents, exceptional reproductive potential, cryptic foliar-mining behavior, and accelerated evolution of insecticide resistance have significantly complicated management efforts. The persistent failure of conventional chemical strategies underscores an urgent need for integrated solutions that combine molecular innovation, ecological engineering, and rigorous resistance monitoring. This editorial synthesizes key insights from recent contributions by Ullah et al., Bavithra et al., and Adams et al., which collectively outline a transformative, multi-dimensional framework for sustainable T. absoluta suppression.
Insect Farming Innovations: A Pathway To Self-Reliance In Agrifood Systems In Africa, Zewdu Abro, Menale Kassie, Dennis Beesigamukama, Shaphan Yong Chia, Ermias Engida Legesse, Subramanian Sevgan, Julius Ecuru, Chrysantus M. Tanga
Insect Farming Innovations: A Pathway To Self-Reliance In Agrifood Systems In Africa, Zewdu Abro, Menale Kassie, Dennis Beesigamukama, Shaphan Yong Chia, Ermias Engida Legesse, Subramanian Sevgan, Julius Ecuru, Chrysantus M. Tanga
All Peer-Reviewed Publications
Insect farming as an innovative approach to transforming agrifood systems
Insect farming has emerged as a transformative and sustainable approach to addressing the interconnected challenges of food insecurity, environmental degradation, and economic vulnerability in Africa’s agrifood systems. By converting organic waste into high-value products (protein-rich feed, frass fertilizers, and bioactive compounds), insect farming offers an efficient circular economy solution that bridges nutrition, livelihoods, and ecological resilience (Lalander et al. 2025; Mei et al. 2024; Barragán-Fonseca et al. 2022; Xia et al. 2021; Van Huis 2020; Barragán-Fonseca et al. 2017; Van Huis and Oonincx 2017; Yi et al. 2014). Almost all …
Dietary Intake And Predictors Of Healthy Eating In Midwestern American College Students: An Observational Study †, Anna Peluso Simonson, Jacquelyn N. Zera, Gregory S. Farnell
Dietary Intake And Predictors Of Healthy Eating In Midwestern American College Students: An Observational Study †, Anna Peluso Simonson, Jacquelyn N. Zera, Gregory S. Farnell
2026 Faculty Bibliography
College students often maintain poor dietary habits, notably low fruit and vegetable intake. Commonbarriers include limited time, cost, and lack of nutritional knowledge. This study examined dietary behaviors, barriers, and factors influencing Healthy Eating Scores (HES) amongcollege students. Participants (N = 224; age = 20.3 ± 2.5 years, BMI = 23.9 ± 4.1 kg/m2, 78.9% female, and 91.3% white) completed an online survey. Results indicate meat overconsumption with underconsumption of water, fruits, and vegetables. Limited time and healthy options were the primary perceived barriers. Tests of between-subject effects identified gender (F = 4.38, p = 0.04) and living situation (F …
The Effect Of Sleep Environment On Sleep Quality And Behavior In Firefighters: A Cross-Sectional Study, Jacquelyn N. Zera, Erica Esper, Anna Peluso Simonson, Ashley N. Clausen, Serena Paterno
The Effect Of Sleep Environment On Sleep Quality And Behavior In Firefighters: A Cross-Sectional Study, Jacquelyn N. Zera, Erica Esper, Anna Peluso Simonson, Ashley N. Clausen, Serena Paterno
2026 Faculty Bibliography
Firefighters face high-stress occupational demands and irregular shift work that negatively impact sleep quality, which is intrinsically linked to long-term physical and psychological health. This cross-sectional study examines how the physical sleep environment (home vs. work) and station sleeping arrangements (bunk-style vs. individual dorm-style quarters) influence subjective sleep quality in this population. Sixty-six career firefighters (Age = 40.89 ± 11.05 years), completed the Pittsburgh Sleep Quality Index (PSQI) to assess their sleep in both home and fire station environments, with data analyzed using Wilcoxon Signed Ranks and Mann–Whitney U tests. The results reveal significant differences (p < 0.001), with sleep duration, efficiency, subjective quality, and global PSQI scores all performing significantly better at home than at work. Notably, no significant differences were found between bunk-style and dorm-style sleeping quarters at the station. These findings suggest that firefighters experience poorer sleep while on duty regardless of room design, indicating that operational stressors like call volume and nocturnal arousal may be more influential on sleep quality than the physical arrangement of sleeping quarters, and could inform organizational policies and wellness programs aimed at reducing occupational fatigue.
Preventing Coccus Longulus Infestation, Nicholas Wellls
Preventing Coccus Longulus Infestation, Nicholas Wellls
Honors College Theses
In the Armstrong greenhouse, the Coccus longulus scale insect is a prevalent problem on a specific species of Begonia known as Begonia ‘Richmondensis’. Inside the greenhouse there are several types of begonias with very similar characteristics to the Richmondensis begonia. However, none of these other begonias are infested by C. longulus, despite similar leaf thickness and environmental conditions such as humidity and light. This project examined whether differences in the chemical composition of the Begonia leaves can explain this pattern. Results were not statistically significant, but they showed that the chemicals had a noticeable impact on the scale, and …
Independent And Interactive Effects Of Stack Height And Heel Width On Spatiotemporal Parameters, Knee Joint Kinetics, And Ground Reaction Forces During Running, Hao Cai
College of Graduate Studies: Theses & Dissertations
This study investigated the independent and interactive effects of stack height (SH) and heel width (HW) on lower-extremity biomechanics during running. Specifically, the study examined how variations in midsole geometry influenced spatiotemporal parameters, knee joint kinetics, and ground reaction forces (GRF). Twelve recreational runners (8 males, 4 females) completed treadmill running trials at 16 km/h under nine shoe conditions that systematically varied in SH (25, 45, and 65 mm) and HW (81, 93, and 105 mm). Lower-extremity kinematics were collected using a Theia3D markerless motion capture system, and GRF data were recorded using an instrumented treadmill. A two-way repeated-measures ANOVA …
Influence Of Footwear Geometry On Lower Limb Stiffness During Running, Hongjiao Duan
Influence Of Footwear Geometry On Lower Limb Stiffness During Running, Hongjiao Duan
College of Graduate Studies: Theses & Dissertations
This study examined how footwear geometry, specifically stack height and heel width, influences lower-limb stiffness during treadmill running. Twelve recreationally active runners completed treadmill running trials at 4.44 m/s in nine prototype shoe conditions that differed in stack height (25, 45, and 65 mm) and heel width (81, 93, and 105 mm). Vertical stiffness, leg stiffness, and sagittal-plane hip, knee, and ankle joint stiffness were calculated from synchronized markerless motion capture and force data. A two-way repeated-measures ANOVA (stack height X heel width) was used to test footwear effects. Leg stiffness was not significantly affected by stack height or heel …