Digital Commons Network^™

Assessment Of Health-Related Quality Of Life In Pediatric Patients With End Stage Renal Diseases, Nasteho Adan Awil, Ahmed Mahmoud Elrefaey, Abdel-Hady El-Gilany Abdel-Elfattah, Heba Mohamed El-Taher

Mansoura Medical Journal

Background: End-stage renal disease (ESRD) occurs when the glomerular filtration rate falls below 15 mL/min, requiring renal replacement therapy. Despite improved survival, affected children experience significant physical, emotional, and social challenges. Consequently, health-related quality of life (HRQoL) is markedly reduced compared with healthy peers.

Aim: This study aimed to assess health-related quality of life (HRQOL) in pediatric patients with end-stage renal disease (ESRD) and to identify factors associate with the quality of life in pediatric patients with   end stage renal disease (ESRD).

Methods:  All 60 eligible children who were enrolled in the Nephrology Unit at Mansoura University Children's Hospital …

Symptom Burden And Its Relationship With Functional Status And Quality Of Life Among Hemodialysis Patients, Samar A. Alalfy, Hoda Mahmoud Mohammad Abdulaziz, Rasha Mahmoud

Mansoura Medical Journal

Background: Patients on maintenance hemodialysis face significant symptom burdens that impact clinical outcomes. This study aimed to determine the frequency of individual symptoms and assess how cumulative symptom burden influences both functional capacity and health-related quality of life among this patient group.

Methods: This cross-sectional study enrolled 168 adult hemodialysis patients from two centers in Egypt. Assessments were conducted using three validated instruments: the Chronic Kidney Disease Symptom Burden Index (CKD-SBI) for symptom evaluation, the Short Form-12 (SF-12) for health-related quality of life, and the Karnofsky Performance Status Scale (KPSS) for functional performance.

Results:Participants had a mean age of …

Influences On Student College-Major Decision And Satisfaction Rate Among Students In The School Of Agriculture, Danielle Shafer

Murray State Theses and Dissertations

The purpose of this study was to determine the factors that influence students to choose agriculture majors and agriculture careers and measure the level of satisfaction with their major based on these influences. There are many factors that influence students to choose a major in college and college-major satisfaction. These influences and satisfaction with major may have an impact on a student’s decision to choose a college career path. Some of the influences mentioned in studies are family, friends, educators, extension programs, clubs, financial, and recruitment efforts. The degree to which each of these influence students may depend on the …

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 …

The Effect Of Sex On The Signal Transmission Of Duetting Bay Wrens, Rachel C. Schinzler

Theses and Dissertations

During communication, senders send signals for their benefit to elicit a behavioral response from a receiver. Acoustic signals are efficient for long-distance signaling; however, they are influenced by environmental features, such as foliage density, humidity, temperature, and time of day. Individuals can overcome these challenges by using signals with a trajectory of peak frequency, frequencies, volumes, and timing best suited to signal transmission in their environment. Signal transmission has been studied at the species level; however, not much is known about sex differences within the same species. Duetting species provide a useful system for examining sex-specific challenges in transmission, as …

Limosilactobacillus Reuteri Alleviates Proinflammatory T-Cell-Mediated Liver Injury And Transcriptomic Changes In Immunocompromised Mice, Ana Fadhel Alvarez, Zheng Yin, Beanna Okeugo, Alexander Banerjee, Meng Luo, Christopher M Taylor, Salomea Giorgberidze, Vaishali Harne, Rambabu Majji, Melissa N Munroe, Ji Ho Suh, Stephen T C Wong, Kang Ho Kim, Hari Krishna Yalamanchili, Suhair Al Salihi, Jon Marc Rhoads, Yuying Liu

Children’s Nutrition Research Center Staff Publications

Background: A deficiency of immunosuppressive regulatory T cells, as seen in scurfy (SF) mice or in IPEX syndrome in humans, can lead to multiorgan inflammation. Oral administration of the probiotic Limosilactobacillus reuteri Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM) 17938 prolongs survival and reduces Th1- and Th2-associated inflammation in SF mice. It remains unclear how DSM 17938-educated SF-CD4+ T cells modulate T-cell-liver communication.

Methods: To characterize CD4+ T cells from SF mice orally administered DSM 17938 (Prob-SF-CD4+ T cells) and to compare them with CD4+ T cells from SF mice (SF-CD4+ T cells), cells isolated from SF spleens were …

Strengthening Ocean Literacy: Marine Science Education And Training To Ensure Australia's Blue Future, Prue Francis, Rachel Kelly, Louise Swanson, Tanveer M. Adyel, Benjamin Arthur, Kirsten Benkendorff, Melanie J. Bishop, Helen Bostock, Marnie L. Campbell, Emma Church, Corrine Condie, Vaibhavi Dwivedi, Michelle Dyer, Matthew England, Liam Fullbrook, Charlie Huveneers, Malcolm Johnson, Brianna Le Busque, Rebecca R. Mcintosh, Amelie Meyer, Benjamin Mos, Jana Mrazova, Allyson O'Brien, Gretta T. Pecl, Amandine Schaeffer, Rebecca J. Shellock, Grant A. Smith, Scott Smithers, Ana Vila-Concejo, Graham Wood

Research outputs 2022 to 2026

This white paper sets out a national vision for advancing ocean literacy in Australia and outlines the role of marine science in fostering an informed, engaged society capable of addressing the challenges and opportunities of our changing oceans. As environmental pressures intensify, and marine resource demands increase, Australians’ capacity to engage with ocean issues, understand risks and opportunities, and participate in marine decision-making has never been more urgent. Marine science will play a central role in building ocean literacy by delivering credible, actionable science, and strengthening education and training systems that enhance understanding of, and connection to, the ocean. Our …

Success Criteria: Sustainable Efficacy In Australian Farmer Groups, David K. Mckenzie, Janine Joyce, Kerstin K. Zander, Penelope A.S. Wurm, Kim M. Caudwell

Research outputs 2022 to 2026

Purpose: To examine the factors and processes that sustain the efficacy of farmer groups as extension intermediaries for influencing collective innovation, and knowledge co-creation and exchange. Design/Methodology/Approach: Data was collected from farmer interviews, focus groups, and the published digital documents of five farmer groups across SE Australia. A grounded theory mixed-methods approach was used for data collection and analysis, aided by Atlas software in constructing concepts and a concept map representing group processes. Findings: The ability of groups to influence farm innovation, and farmer learning and knowledge co-creation, depends on the group efficacy. Group identity in advancing farmer interests and …

Efficient Task Allocation Technique For Robots In Smart Warehouse Using Center Of Items (Coi) Methodology, ‪Ahmed Yahya‬‏, Mohamed S. Saraya, Ahmed I. Saleh

Mansoura Engineering Journal

Nowadays, online shopping is very important in Daily life. in 2020 During the quarantine during the spread of COVID-19, online orders increased dramatically, as a result of the great progress in fifth-generation technologies and using the Internet of Things (IoT) and industrial Internet of Things (IIoT), industry 4.0 and 5.0, fog computing, cloud computing, robots systems, and drones systems. Smart warehouses picking system becomes a Basic need and can be implemented to improve efficiency in logistics. Smart warehouses are growing more dependent on robot systems to make the process of meeting these requests more flexible and effective. Therefore, the allocation …

Assessment Of Microplastic Pollution In Economically Significant Fish Species From Libya’S Northeastern Mediterranean Coast, Mousa Kateesh, Tarek A. Temraz, Rafat Afifi Khattab

Journal of King Abdulaziz University: Marine Science

Microplastic pollution in marine ecosystems has become a pressing global environmental issue. However, there is limited information on the distribution of microplastics in Libyan territorial waters. This study investigates plastic waste pollution in five commercially important fish species from various marine habitats along the eastern Libyan coast (Ain El-Ghazala, Sousa, Ras Hilal, Alhaniyah, and Alhamama). A total of 75 fish specimens were collected, comprising 15 individuals from each species. The findings revealed that 38% of the sampled fish had ingested plastic debris, with microplastics being the predominant form. The Sousa region exhibited the highest contamination rate (54.46%), while Alhaniyah had …

Urbanization Impacts On Microplastic In Benthic Organisms And Sediment Of Small Islands, Andrio Wibowo, Suyud Warno Utomo

Journal of King Abdulaziz University: Marine Science

Indonesia is an archipelago country comprising thousands of islands, including small islands. Currently, small islands have experienced urbanization in the forms of land use developments and conversions from pristine ecosystems to settlements and tourism facilities, leading to the contamination of microplastics. Despite growing numbers of research on microplastic in water, there is still limited information about microplastic in the sediment and benthic, in particular in developed small island environments. This study compared the types of land use on the island from reserved areas, tourism, and settlement. The microplastics were characterized based on the shapes. The results confirm that land use …

Intercontinental Variation In Population Genetics And Life-History Traits In Native And Invasive Populations Of The Aquatic Plants Myriophyllum Spicatum And Myriophyllum Sibiricum, Anastasia V. Mozharova

Graduate Doctoral Dissertations

Biological invasions pose significant threats to freshwater ecosystems worldwide, and understanding their evolutionary, genetic, and biogeographic drivers is essential for effective management. My dissertation integrates microsatellite and ITS rDNA data to examine the dynamics of both invasive and native populations of two closely related aquatic plant species, Myriophyllum spicatum (Eurasian watermilfoil) and M. sibiricum (Northern watermilfoil).

Myriophyllum spicatum is native to Eurasia, where it inhabits a variety of freshwater aquatic habitats. Since its introduction to North America in the mid-20th century, it has become highly invasive, forming dense underwater mats that outcompete native vegetation, reduce biodiversity, and degrade water quality. …

Environmental Science And Sustainable Development: Behavioral Transformation To Knowledge System Integration For Sustainability Action, Ahyahudin Sodri, Herdis Herdiansyah

Journal of Environmental Science and Sustainable Development

Sustainability issues are now a global concern. However, knowing the root causes of problems and the target is not the only factor that constantly motivates change for the better (Wamsle & Osberg, 2022) as such change also requires encouragement from actors, including individuals, organizations, and communities. Therefore, the human aspect is crucial for the successful achievement of sustainability (Hariram et al., 2023). In other words, questions on sustainability are not just about "what should be done?" and also on “how to get people to do it?” and “why are currently available interventions not yet fully utilized?” …

Artificial Intelligence As A Catalyst For Systemic Sport Ecology, Ugo Arbieu, Laís Carneiro, Sonia Tieo, Franck Courchamp

Journal of Applied Sport Management

Artificial intelligence (AI) is reshaping both sport management and environmental science, yet these developments have largely evolved in parallel. AI can serve not merely as a technical tool but also as a catalyst for systemic sport ecology, a field that integrates sport, digital innovation and environmental sustainability. Advances in discriminative, generative and agentic AI enable the synthesis of complex ecological and sport-related data, improving monitoring, forecasting, resource efficiency, policy design, and decision-making across scales. In doing so, AI offers a pathway beyond fragmented sustainability interventions and can support holistic approaches to the interconnected crises of climate change, pollution, and biodiversity …

Towards Computational Methods In Medical Data Analysis: From Speech And Text To Imaging, Kristin Qi

Graduate Doctoral Dissertations

Early detection of cognitive decline and efficient medical image analysis remain critical challenges in healthcare. Traditional clinical assessments are infrequent and resource-intensive, while everyday speech data and unlabeled medical images remain largely unexploited. This dissertation develops computational methods integrating machine learning and artificial intelligence across speech, text, and imaging modalities to address challenges in medical data processing. For cognitive monitoring, this work first introduces methods using voice assistant systems to collect longitudinal speech data in home environments, demonstrating that incorporating historical session patterns significantly enhances detection of mild cognitive impairment. Building on this foundation, a framework combining large language model-driven …

A Proposed Urban Branding Strategy As Sustainable Urban Regeneration Policy, A Case Study Of Burj-Al Burullus City, Dalia S. Shebl, Kariman A. Shawky

Mansoura Engineering Journal

This study examines the importance of a branding strategy that can be applied in Burj Al-Burullus city to promote and catalyze cultural heritage branding and invest in these facilities for economic and tourism purposes. By measuring the indicators of how urban branding may be achieved. Burj Al-Burullus city is empirically examined using Identity-Based Approach. Based on profound theoretical and analytical studies, the branding concept was studied and analyzed composing a list of indicators for tangible and intangible elements that illustrate the urban branding value of cities. Followed by an analysis of Burj Al-Burullus city using GIS and city data base …

3d-Dnn Ion-Eg Model Applications For Ionospheric Characterization Over Egypt: Mans Cors Case Study Of Vtec Variability And Nmf2/Hmf2 Mapping (2020-2024), Ismail Zaher, Zaki Zeidan, Mostafa Rabah, Mahmoud El-Mewafi

Mansoura Engineering Journal

This study introduces an operational evaluation of a deep learning–driven ionospheric modeling system tailored for Egypt, designed to overcome the limitations of conventional empirical approaches in data-sparse regions. The 3D-DNN Ion-EG model was trained on 737,110 COSMIC-2 radio occultation profiles (2020–2024), integrating spatial temporal coordinates with geophysical drivers to generate high-resolution threedimensional electron density distributions. Validation against the MANS CORS station (Mansoura University) demonstrated strong predictive skill (R2 = 0.9337; r = 0.970) under independent testing. Performance analysis across diverse geophysical regimes confirmed the model’s advantage in capturing storm-time and solar-driven disturbances, surpassing empirical models that perform best only under …

Mango Leaf Disease Detection And Classification Using A Federated Learning Based Lightweight Vision Transformer Model, Vinay Gautam, Prabhjot Kaur, Anand Muni̇ Mishra, Achyut Shankar, Laxman Singh

Turkish Journal of Agriculture and Forestry

The detection and management of horticultural crop diseases is crucial for enhancing productivity, reducing costs, and promoting environmentally sustainable practices. Recently, various techniques have been developed for managing crop-related issues, including leaf diseases and pest control. A centralized control approach has been implemented for disease detection. This centralized system faced significant challenges, including concerns over data privacy and the costs associated with data migration. This study addressed the problems with centralized solutions through a federated learning approach enhanced by the attention mechanism of the vision transformer (ViT). We investigated the key features of the federated learning method and propose a …

Jujubenet: A Dual-Stage Spectral Reconstruction Network For Rapid Jujube Moisture Content Estimation, Yalei Xu, Yang Li, Jing Nie, Jingbin Li

Turkish Journal of Agriculture and Forestry

Spectral analysis methods can nondestructively assess the quality of agricultural products but are limited by imaging speed and equipment costs. Therefore, they have not yet been fully integrated into engineering practices. This paper presents JujubeNet, a two-stage hyperspectral reconstruction model for detecting moisture content in jujubes. The first stage utilizes a generative pretrained Pix2Pix generative adversarial network (GAN) to generate RGB images of jujubes that mimic real camera styles and are pixel-to-pixel aligned with hyperspectral images. The second stage uses a transformer-based spectral reconstruction model to achieve hyperspectral reconstruction. Additionally, we developed a moisture content detection model based on hyperspectral …

Microglial Expression Of Serotonin Receptors Reveals Parallel Regulation Of 5-Ht2b And Bdnf In The Rat Hippocampus, Andrei Turkin, Maria Sidorova, Ekaterina Kurilova, Natalia Alenina, Oksana Tuchina, Friederike Klempin

School of Graduate Studies Faculty Publications

Growing evidence suggests that psychiatric disorders are characterized by a prolonged inflammatory state, which may influence the efficacy of compounds targeting serotonin. Serotonin is a key signaling molecule in neuroplasticity of the adult hippocampus and involved in antidepressant action. Recent in vitro studies indicate the neurotransmitter may also facilitate the response to inflammation and potentially modulate microglial function towards neuroprotection. Using Tph2−/− rats depleted of brain serotonin, we examined microglial expression of various serotonin receptors (5-HTRs) in vivo in both the hippocampus and prefrontal cortex and assessed mRNA levels of cytokines and brain-derived neurotrophic factor (BDNF). We observed age-dependent and …

Study On The Role Of Shenfu Injection In Mediating Ferroptosis Through The Akt/Gsk-3Β/Nrf2 Pathway In Yang-Deficient Chronic Heart Failure, Xiaojie Chen, Jiayun Guo, Bing Lin, Huamin Wang, Ziyu Lu, Bayi Liu

Turkish Journal of Biology

Background/aim: The present study investigates the role of Shenfu injection in the treatment of yang-deficient chronic heart failure (CHF). Materials and methods: Sprague-Dawley (SD) rats were modeled for yang-deficient CHF by abdominal aortic coarctation. Echocardiography was performed to detect changes in cardiac function, and serum N-terminal B-type natriuretic peptide proteins (NT-proBNP), cardiac troponin I (cTnI), and ferroptosis-related factors were measured using ELISA kits. Pathological changes in cardiac tissues were observed through hematoxylin-eosin (HE) and Masson’ trichrome staining, cardiomyocyte apoptosis was measured by TUNEL staining, and reactive oxygen species (ROS) production was determined through dihydroethidium (DHE) staining. The expression of nuclear …

Exploring Shootin1’S Oncogenic Role Within Fgfr2 Gene Fusions, Volkan Ergi̇n, Mutlu Erdoğan, Ekrem Yaşar, Sika Zheng

Turkish Journal of Biology

Background/aim: Fibroblast Growth Factor Receptor (FGFR) gene fusions are recognized as pivotal oncogenic drivers, contributing to cancer initiation and progression across diverse malignancies. These fusions often represent significant therapeutic targets, particularly in challenging malignancies like cholangiocarcinoma. This study aimed to characterize the novel FGFR2::SHTN1 fusion, identify it as a de novo chimeric protein, and elucidate its precise oncogenic mechanism. Materials and methods: FGFR2::SHTN1 fusions were identified via cancer genomics databases and modeled using AlphaFold and HADDOCK. SHTN1 variants were expressed in Neuro-2a cells for coimmunoprecipitation, purification, and native polyacrylamide gel electrophoresis to assess oligomerization. Structural modeling included membrane embedding with …

Efflux Pump-Associated Antimicrobial Resistance Genes In Staphylococcus Spp. From Dairy And Meat Samples, M.Burcu Külahci, Sumru Çitak

Turkish Journal of Biology

Background/aim: This study aimed to investigate the phenotypic resistance and distribution of efflux pump-associated antimicrobial resistance genes in Staphylococcus spp. isolated from dairy and meat samples. Antimicrobial resistance in foodborne bacteria increases with antibiotic exposure and biocides, particularly through efflux mechanisms. Thus, monitoring potential genetic reservoirs in the food chain is very important. Materials and methods: A total of 132 dairy and meat samples were collected for the study, and Staphylococcus spp. were isolated using Mannitol salt phenol red agar. Antimicrobial susceptibility was evaluated using the Clinical and Laboratory Standards Institute’s microdilution method. Twenty-six resistant isolates were identified by 16S …

Many Hands Make Stronger Work: Building Cross-Institutional Undergraduate Research Experiences Using Universal Design For Learning, Stephen Podowitz, Abigail Graham, Madison E. Greene, Sarah R. Johnson, Katherine Leonard, Margaret Vander Sys, Mariel A. Pfeifer

College of Life Sciences Faculty Papers

Designing an undergraduate research experience in which all team members can meaningfully contribute and experience growth can be challenging, especially for virtual teams working across institutions. For two years, the authors worked remotely as a team that included several undergraduate researchers in a highly involved research project. Through the partnership, the two principal investigators on the project were able to involve more undergraduates in research than they could individually, using a mentoring model that drew on Universal Design for Learning (UDL) principles to ensure students had opportunities for intellectual involvement in the research process. By working as an integrated team, …

Batf2 Is A Glutamine-Responsive Tumour Suppressor Required For Type-I Interferon-Dependent Anti-Tumour Immunity, Wang Gong, Hülya F Taner, Yuesong Wu, Yumin He, Xingwu Zhou, Zaiye Li, Xin Hu, Charisse Ursin, Kala Chand Debnath, Kohei Okuyama, Qiang Hu, Christopher R Donnelly, Felipe Nör, Chamila D Perera, Emily Bellile, Arash Yunesi, Zhiqian Zhai, Mei Zhao, Wanqing Cheng, Zackary R Fitzsimonds, Luke Broses, Jiaqian Li, Shadmehr Demehri, Deepak Nagrath, Gregory T Wolf, Andrew G Sikora, Yanbao Yu, Haitao Wen, Lei Wei, Steven B Chinn, Jeffrey N Myers, Shizuo Akira, Yuying Xie, James J Moon, Yu Leo Lei

Faculty, Staff and Student Publications

Recent evidence highlights the significance of a new type of tumour suppressors, which are not frequently mutated but inhibited by metabolic cues in cancers. Here, we identify BATF2 as a tumour suppressor whose expression is epigenetically silenced by glutamine in Head and Neck Squamous Cell Carcinomas (HNSCC). BATF2 correlates with type-I interferon and Th1 signatures in human HNSCC, with correlation coefficients even stronger than those of the positive control, STING. The phosphorylation of BATF2 at serine 227 promotes the oligomerization of STING. BATF2 deficiency or high glutamine levels result in higher oxygen consumption rates and metabolic profiles unfavorable for …

Communication Factors Influencing Smallholder Farmers' Adoption Of Climate Change Adaptation Measures In Kenya’S Embu County, Olive Wanjiru Ndwiga, Dominic Mutambu, Daniel Manguriu, Monicah Mucheru-Muna

Journal of Environmental Science and Sustainable Development

Climate change in Kenya has severely impacted the agricultural sector, affecting food security. It is crucial to enhance farmers’ adaptive capacity to cope with these threats. Effective communication of climate variation risks and coping measures is essential to improve farmers' adaptive capacity. Nevertheless, the adoption of adaptation measures remains low. This is because the influence of communication factors remains underexplored. Therefore, this study focuses on exploring the communication factors affecting the adoption of climate variation adaptation measures in Embu County. The study was conducted in 2023 and 2024 and analysed using the Statistical Package for Social Sciences (SPSS) software. The …

Mechanical Improvements And Control Implementation On A Biomimetic Quadruped Model, Matthew Jack Lutz

Dissertations and Theses

Robotic development started billions of years after earth first began biological prototyping. While the evolutionary process in animals is quite different from robotic prototyping, it still remains no surprise that animals remain more agile, more efficient, and more adaptable than even the most advanced engineered robots to date, simply due to the sheer length of their improvement process. While bridging this improvement gap between deficits in robots and the abilities of animals is difficult, a specific subfield of robotics engineering has attempted to do so using biomimetic robotics. At Portland State, the Agile and Adaptive Robotics Lab (AARL) studies these …

Folding Architecture “Origami Art-Inspired” Applicability To Sustainable Architecture- Biomuseo As A Case Study, Vitta A. Ibrahim

Mansoura Engineering Journal

The growing need for sustainable architectural solutions in the contemporary era underscores the necessity for interactive architectural applications that can adapt to changing requirements. In architecture, folding systems refer to three-dimensional, foldable structural forms that create unique spatial configurations and possess a wide range of capabilities. Drawing inspiration from origami techniques, this study emphasizes the role of folding systems in generating innovative spatial designs. The research problem arises from the fact that the built environment is a significant contributor to greenhouse gas emissions and energy consumption, necessitating the implementation of smart solutions. The goal of this study is to identify …

Psychological Responses To Interval And Continuous Exercise In People Living With Hiv: A Single-Blind, Counterbalanced, Crossover Study., Phelipe Wilde, Victor S. De Queiros, Jason R. Jaggers, Angelo Sabag, Julio M. Alves, Elaine Fernandes, Robert F.C. Rocha, Paulo F. De Almeida-Neto, Ronaldo Vagner Thomatieli-Santos, Paulo Moreira Silva Dantas

Faculty and Staff Scholarship

Abstract
Aim: This study compared acute psychological responses to a single session of low-volume high-intensity interval exercise (HIIE-LV), high-volume highintensity interval exercise (HIIE-HV), and moderate-intensity continuous exercise (MICE) in people living with HIV, and healthy controls using a randomized, counterbalanced crossover design. Methods: The participants (people living with HIV, and healthy controls) completed three exercise sessions in randomized order: HIIE-HV (4  4 min at 80% of maximal power output [Wmax]), HIIE-LV (10  60 s at 90% Wmax), and MICE (30 min at 60% Wmax). Psychological outcomes included affective response assessed by the Feeling Scale, exercise enjoyment and future exercise intention …

Green Ai-Enhanced Deep Learning Model For Breast Cancer Detection And Classification In Mammography Images: Bc-Net-512, Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

Mansoura Engineering Journal

This study champions a sustainable approach for developing a Deep Learning (DL) model for medical image analysis, specifically focusing on breast cancer (BC) detection in mammograms. By prioritizing low-computing algorithms to achieve high diagnostic accuracy while minimizing the model's environmental footprint, that aligns with the principles of Green AI. In this paper, an innovative architecture called BC-Net-512 was constructed for the classification of BC mammography. It is composed of lightweight Convolutional Neural Network (CNN) blocks for texture, density, and structure feature extraction and detection, a thin, fully connected layer for learning complex patterns and correlations in the extracted features, and …