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Surgical Site Infection Prevention And Education With Breast Reconstruction Patients - An Evidence-Based Practice Project, Monica Gaspard

Loma Linda University Electronic Theses, Dissertations & Projects

Introduction and Background

Breast cancer is a disease characterized by abnormal cell growth that develops from interactions including genetics, environment, and cellular functions (Taurin & Alkhalifa, 2020). Breast cancer is common in women, and breast reconstruction is a main course of treatment (Taha et al, 2023). One in eight women may have breast cancer in their lifetime (Tedesco & Loerzel, 2020). In the United States, 151,641 breast reconstruction surgeries were reported in 2022 by the American Society of Plastic Surgery (Perez et al., 2024). The infection rate after breast reconstructive surgery can be as high as 25% and occurs within …

Enhanced Recovery Of High-Quality Dna From Limited Ffpe Tissue For Advancing Cancer Genomics, Shweta Singh, Sierra Vidaurri, Astrid Perez, Anupam Dhasmana, Swati Dhasmana, Monica Betancourt-Garcia, Murali Yallapu, Subhash Chauhan, Sheema Khan

School of Medicine Publications

Archived formalin-fixed paraffin-embedded (FFPE) tissue samples are crucial assets in cancer research. However, despite the availability of commercial DNA purification kits, researchers face persistent challenges. The limited tissue availability, formalin-induced crosslinking, and DNA fragmentation in FFPE blocks often results in low DNA yield and compromised quality, hindering downstream applications. In this study, we optimized and standardized DNA purification methods to achieve high-yield, high-integrity DNA, making it ideal for DNA library preparation and high-throughput sequencing. Therefore, we optimized DNA extraction protocols using two Qiagen kits, the QIAamp DNA FFPE Tissue Kit and the QIAamp DNA FFPE Advanced Kit. The optimized methods …

Soil Dna-Phosphorus: Method Optimisation And Application Across Uk Soils, Margaret Massam, Daniel Menezes-Blackburn, Mohammed Al Kasbi, Catherine Wearing, Marc Stutter, Courtney D. Giles, Tegan Darch, Timothy S. George, Charles Shand, David Lumsdon, Martin Blackwell, Hao Zhang, Patricia Cooper, Renate Wendler, Lawrie Brown, Philip M. Haygarth

Journal of Agricultural and Marine Sciences

Despite growing recognition of rapid diester P turnover, quantitative data on soil DNA-P across soil types remain scarce due to methodological constraints. This study aimed to investigate the impact of changes in the analytical protocol of a soil DNA-P method developed by Paraskova et al. (2013) on DNA-P recovery and the use of the revised procedure on 32 UK soils on our understanding of DNA-P in soils. The steps of the Paraskova method were tested on two contrasting soils, and a revised version was developed and used to determine the DNA-P levels of 32 UK soils. These findings were then …

Effects Of Combined Application Of Biochar And Nitrogen Fertilizer On The Growth Parameters Of Lemongrass (Cymbopogon Citratus), Ashkan Asgari, Yunes Rameshjan, Babak Jamali, Aminallah Tahmasebi

Journal of Agricultural and Marine Sciences

The synergistic application of biochar and nitrogen fertilizer significantly improves plant growth and soil properties. The present study aimed to evaluate the effect of the application of biochar and nitrogen on the shoot and root of lemongrass in a factorial design within a completely randomized setup. The experiment included three levels of biochar, i.e. 0%, 1%, and 2% (v/v) and 2 levels of nitrogen, i.e. 0 and 1 (g/pot) under greenhouse conditions with 3 replications. The following parameters were measured, plant height, number of tillers, number of leaves, length of the largest leaf, fresh, shoot and root dry weight. The …

Ai-Driven Plant Health Assessment And Remediation: Case Study On Lemon Plants And Witches' Broom Disease, Zuhoor Al-Khanjari, Misk Hersi, Zainab Al-Ajmi

Journal of Agricultural and Marine Sciences

Plant diseases pose significant challenges to agricultural productivity and food security, particularly in regions like Oman, where citrus crops, such as lemon trees, are economically vital. Traditional diagnosis methods are time-consuming and often require expert intervention, limiting accessibility for small-scale farmers. This paper presents an AI-driven plant health assessment Nuwriq application. It leverages both image-based and text-based input to diagnose lemon plant diseases, particularly the Lemon Witch Broom Disease (LWBD). It incorporates two machine learning models: a convolutional neural network (CNN) for image classification and a natural language processing (NLP) model for symptom-based textual analysis. Users can upload images of …

Antagonistic Bacterial Isolates Derived From Salt Cedar (Tamarix Nilotica) Suppress Pythium Aphanidermatum Damping-Off In Cucumber Under Glasshouse Conditions, Saba Al-Ghassani, Issa Hashil Al-Mahmooli, Fatma Al-Makhmari, Zainab Al-Balushi, Waleed Al-Busaidi, Mohamed Abdullah Al-Kindi, Khalid Al-Farsi, Abdullah Mohammed Al-Sadi, Rethinasamy Velazhahan

Journal of Agricultural and Marine Sciences

Cucumber (Cucumis sativus L.) damping-off, which is caused by the soilborne oomycete Pythium aphanidermatum, is an extremely damaging disease. An environmentally friendly and safe method of controlling damping-off in cucumber and other vegetable crops is biological control, which employs naturally existing antagonistic microorganisms. In this investigation, bacteria from root tissues (endophytic bacteria) and rhizosphere soil (rhizosphere bacteria) were isolated from Tamarix nilotica (Tamaricaceae), commonly known as salt cedar, and their potential to inhibit P. aphanidermatum and their efficacy in managing damping-off in cucumber under controlled glasshouse conditions were assessed. Ten rhizospheric and six endophytic bacteria with different morphological traits were …

Utilizing Artificial Neural Networks (Ann) To Forecast Date Palm Exports And The Regulatory Period Of The United Arab Emirates, Almouthana Aziz Hasan, Ibrahim Mohammad Abdullah

Journal of Agricultural and Marine Sciences

The research aimed to forecast the exports of United Arab Emirate (UAE) from date palm during the period (2021-2030). The R programming language was used to conduct econometric analysis in artificial intelligence, by analyzing time series of the factors influencing the UAE date palm export quantity and using the (ARIMA) methodology and construction of the artificial neural network (ANN). The results demonstrated that the influence of independent factors on the quantity of future exports was apparent, including the UAE date palm production quantity in tons (x1) at a percentage of (21.08%), domestic consumption in tons (x2) by (20.69%), mean UAE …

Who Gains And How? Agri-Food Trade Outcomes Of The Oman–India Cepa, Osman Gulseven, Lokman Zaibet, Ibtisam Al-Abri

Journal of Agricultural and Marine Sciences

This research evaluates the agricultural and food-related trade effects of the Oman–India Comprehensive Economic Partnership Agreement (CEPA) using product-level partial-equilibrium simulations implemented through the Trade Intelligence and Negotiation Adviser (TINA) platform. The results based on 2024 trade data indicate asymmetric outcomes. While both partners experience trade gains (\$567 million for Oman and \$656 million for India), Oman's export expansion to India is highly concentrated in a small number of energy and chemical products, whereas India's exports to Oman increase across a wide range of tariff lines, including several food products. In agriculture, CEPA primarily reinforces India's role as a key …

A Governorate-Level Index Of Fisheries And Coastal Habitats In Oman, Ibtisam Al Abri, Jaynab B. Yousuf, Nadir Al-Abri, Fahad Al Rasbi

Journal of Agricultural and Marine Sciences

Oman's fisheries sector, deeply rooted in coastal tradition, is becoming a key pillar in the nation's transition away from oil dependency. With over 3,165 km of coastline and access to three major marine ecosystems, the Arabian/Persian Gulf, Sea of Oman, and Arabian Sea, the country holds vast ecological and economic potential. However, the sustainability and performance of small-scale fisheries (SSF), which represent over 90% of national fishing activity, vary widely across governorates due to environmental stress, infrastructure gaps, and climate vulnerability. This study presents the first governorate-level, multidimensional assessment of fisheries and coastal resources sustainability in Oman. Using a mixed-methods …

Regularity Clarity At A Cost: The Risks To Everyday Investors If Project Crypto Continues Without Guardrails, Maia Chess

The University of Cincinnati Intellectual Property and Computer Law Journal

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Exploring Maximal Length Cellular Automata To Generate Primitive Polynomials In Gf(2), Sumit Adak, Subhrajit Deb, Anurag Ghosh, Angshuman Roy, Souvik Roy

Northeast Journal of Complex Systems (NEJCS)

We present a simple method that uses cellular automata (CAs) to find primitive polynomials over GF(2). We used maximal length CAs as tools to generate primitive polynomials. It is usually very difficult to find maximal length CAs or primitive polynomials since they require exponential time, and there is no linear time method. However, in our work, given an n-size specific sequence of CA with reasonable probability, our technique computes a cycle of length at most 2^n-1 (maximal length) in O(n) time. The characteristic polynomials of synthesized maximal length CAs are claimed to be primitive since it was previously established that …

Academic Freedom And International Education: Critical Perspectives For Practitioners, Samantha K. Nissen

Critical Internationalization Studies Review

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Evaluating Optimal Capacity And Investment Strategies For Renewable Energy Projects: A Combined Technical And Financial Approach, Helen Josephine, Indhumathi Shanmugasundaram, Sharad Gupta, Manjari Sharma

Northeast Journal of Complex Systems (NEJCS)

The global shift toward clean energy is accelerating, and by 2050 renewable sources are expected to supply more than 85% of the world’s electricity. This transition, however, introduces new layers of complexity. Wind and solar energy behave as interconnected subsystems whose output fluctuates with weather, season, and geography. Their interaction with fixed hourly demand, capital-intensive investments, and financing structures creates a multi-dimensional system in which small changes can trigger significant operational and economic consequences.  This study presents a simulation-driven framework designed to understand and optimize this complex behaviour. The framework models hourly wind and solar generation alongside projected demand to …

Dr. Pamela Pruitt, Keynote Address: From Motown To Metamorphosis: A Fireside Chat On Music, Communication, And Change, John V. Pavlik, Salvatore J. Fallica

Proceedings of the New York State Communication Association

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The Tax Adviser, Volume 18, Number 12, December 1987, American Institute Of Certified Public Accountants

Tax Adviser

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