Digital Commons Network^™

Phytochemical Analysis Of Turmeric (Curcuma Longa L.) Grown In Uzbekistan, Khurshid Sulaymanov, Parul Johri, Abdulahat Azimov, Abdujalil Narimanov, Fotima Kodiralieva, Sachidanand Singh, Dilfuza Jabborova

Turkish Journal of Agriculture and Forestry

Turmeric (Curcuma longa L.) a documented medicative plant, is used as a foodstuff, cosmetic, and medicine. The objective of this study was to assess the influence of mineral fertilizers on phytochemical evaluation, curcumin, flavonoids and total proteins contents of turmeric (Curcuma longa L.) rhizomes grown in different regions of Uzbekistan. The experiment were carried out in randomized block design with three replications a mini plot experiment at Institute of Genetics and Plant experimental Biology, Kibray district, Tashkent Region and a field experiments at the Surkhandarya scientific experimental station of the vegetable, melon crops and potato research Institute, Uzbekistan. Experimental treatments …

Development Of A High-Density Genetic Linkage Map And Identification Of Quantitativetrait Loci (Qtls) Associated With Botrytis Cinerea Resistance In Strawberry(Fragaria × Ananassa Duch.), Duygu Ayvaz Sönmez, Harun Karci, Hayat Topçu, Ömer Faruk Bi̇lgi̇n, Hale Günaçti, Habi̇bullah Tevfi̇k, Burak Özgören, Yefim Ronin, Elena Baraldi, Sali̇h Kafkas, Nesi̇be Ebru Kafkas

Turkish Journal of Agriculture and Forestry

Over the centuries, strawberry fruit quality has greatly improved through various selection studies. The discovery of genes andgenomic positions related to traits such as fruit quality and resistance to diseases and pests has been accelerated by new biotechnologicalmethods. The objectives of this study are (i) to construct single nucleotide polymorphism (SNP) Fana array-based high-throughputgenetic linkage groups for the ‘Fortuna × Rubygem’ F1 population, and (ii) to detect quantitative trait loci (QTL) regions associated withBotrytis cinerea resistance in leaf and fruit traits of strawberry. A total of 945 and 984 SNPs were mapped in the ‘Fortuna’ maternal andthe ‘Rubygem’ paternal maps, …

Characterization Of Bioactive Content And Aroma Compounds Of Geographical Indication İspir, Narman And Hınıs Dry Beans, Erkan Denk, Razi̇ye Kul, Nesi̇be Ebru Kafkas, Hülya Ünver, Zühal Okcu, Doğan Ergün, Tahani Awad Alahmadi, Mohammad Javed Ansari

Turkish Journal of Agriculture and Forestry

This study aimed to define the aroma components, antioxidant activity, total phenol, and sugar contents of three geographicallyindicated dry beans: İspir Dry Bean, Narman Sugar Bean, and Hınıs Bean. Significant differences were found among three different drybeans in terms of total phenolic content, total antioxidant capacity (2,2-diphenyl-1-picrylhydrazil test), sugar content, and volatilecompounds. The total phenolic content ranged from 14.09 mg gallic acid equivalents per 100 g dry bean sample in Narman to 36.73 mgin Hınıs. The highest total antioxidant activity was observed in İspir Bean with 8.38%, while the lowest was in Narman Bean with 6.02%.Additionally, the total sugar contents …

Evaluating The Genetic Parameters, Heritability, And Genetic Diversity Of Datashak (Amaranthus Lividus) Under Hot Summer Growing Conditions, Kazi Golam Safath, Umakanta Sarker, Jahidul Hassan, Jawaher Alkahtani, Mohammad Golam Azam, Reza Rahmatallahi, Shinya Oba

Turkish Journal of Agriculture and Forestry

Datashak (Amaranthus lividus) are climate-smart, stress-resistant, C4 leafy vegetables. Fourteen datashak genotypes were evaluated in three replicates during summer season at Bangabandhu Shiekh Mujibur Rahman Agricultural University. Results revealed highly significant differences among datashak indicating a wide range of variability. Considering genetic parameters selection could be performed based on total biomass per plant (TBPP), shoot weight (SW), stem weight (StW), and shoot length (SL) for improving the biological yield (BY) of datashak. The correlation results revealed that almost all the features showed a significant increase in the BY of datashak. StW, root length, leaf weight, and SW demonstrated a strong …

The Student Movement Volume 109 Issue 4: 'Twas The Night (Market) Before Fall Break, John Roosenberg, Alyssa Caruthers, Esther Martin, Savannah Tyler, Aiko J. Ayala Rios, Addison Randall, Ember Clark, Rod Olofernes, Amelia Stefanescu, Melissa Moore, Melanie Webb, Charisse Lapuebla, Timi Olatunde, Lexie Dunham, Anna Rybachek

The Student Movement V. 109 (2024-2025)

HUMANS

AULA Brings Students Closer to Home, John Roosenberg

New Basketball Coach Jared Rusher on Returning to Andrews, Alyssa Caruthers

Dorm Pets, Esther Martin

Cardinals Enter Stage Left: An Intro to the Andrews University Theatre Wing, Interviewed by Savannah Tyler

ARTS & ENTERTAINMENT

Mozart's New Banger: Classical Music in Today's World, Aiko J. Ayala Rios

An Intro to the Music Department and How You Can Get Involved, Addison Randall

Nationalism and Warfare: A Review of Edward Hall's 'Henry V', Ember Clark

NEWS

Leadership Conference Inspires Andrews' Leaders, Rod Olofernes

Fairy Lights, Pancit, and Guaraná: Night Market at AU: Amelia Stefanescu …

The Diamond, October 10, 2024, Dordt University

Dordt Diamond

• Front Page: Dordt Swim Team Makes History; Embracing God's Will - Dr. Shinde's Move to America; Hurricanes Devastate the South
• News: Sioux Center Middle School Experiences Unexpected Growth this Fall; "Crunch Time" - A Closer Look at Current Events' The Dordt Gaming Guild Gets Plugged In
• Feature: Tunnels to Towers - Students Run 5K in Honor of 9/11; "Lost Sight" by Michelle Hofer; Sunday Lunches in Southview; Missions Upside Down Project - Rekindling the Call; Ray Badudu Steps in as Campus Worship Director; The Face Behind the Register, Marlene Tullar; Karaoke Curfew; A Tree for Tomorrow; CORE …

Studying Contact Replays: Investigating Mechanisms, Management And Game Exposures (Scrimmage) For Brain Health In The Australasian National Rugby League: A Protocol For A Database Design, Andrew J. Gardner, Grant L. Iverson, Paul Bloomfield, Sharron Flahive, James Brown, Suzi Edwards, Gordon W. Fuller, Mazdak Ghajari, Prashant Jhala, Ben Jones, Christopher R. Levi, Warren Mcdonald, Shreya Mcleod, Cameron Owen, Georgia Page, Kenneth L. Quarrie, Oliver Smith, Peter Stanwell, Daniel Tadmor, Timana Tahu, Douglas P. Terry, Campbell Thomson, Ross Tucker, Lauren V. Fortington

Research outputs 2022 to 2026

Concussions in contact sports are challenging for athletes, health professionals and sporting bodies to prevent, detect and manage. Design of interventions for primary prevention, early recognition of concussion and continuing to improve postconcussion management are essential for protecting athletes and promoting brain health. Over the last decade, there have been advancements in video technology for analysing head impact events and improvements in the clinical management of concussions. This study protocol describes how researchers, clinicians and staff from the Australasian National Rugby League (NRL) have brought these advancements together and developed a database of videos with head impact events and clinical …

Factors Affecting The Quality Of Reporting Dispensing Errors Among Pharmacists, Kelley Latrece Lavallais

Walden Dissertations and Doctoral Studies

Medication dispensing errors, which are the inconsistency between the dispensing of medication to the patient against the prescribed medication, continue to be a public health challenge. Many studies have been conducted to examine their causes, including burnout, illegible handwriting, workload, and interruptions. There have also been studies on the types of medication dispensing errors. This study focused on the reporting of errors. The purpose of this quantitative study involving secondary data analysis was to examine the factors affecting the quality of reporting dispensing errors among pharmacists and the seriousness of the adverse events. The social-ecological model served as the theoretical …

Kansas Academy Of Math And Science Alum Ready To Make Her Mark On The World, October 11, 2024, Tisa Mason Ed.D.

Heart of a Tiger Columns

No abstract provided.

Trichloroethylene (Tce) Metabolite S-(1,2-Dichlorovinyl)-L-Cysteine (Dcvc) Inhibits Lps-Stimulated Cxcl-2 Production In Thp-1 Cells, Erica Boldenow, Karena Moleakunnel, Audrey Luce, Lyric Johnson, Eleanor Scheeres

University Faculty Publications and Creative Works

Michigan Society of Toxicology Fall 2024 Meeting

Hypofractionated Versus Standard Fractionation Radiotherapy For Merkel Cell Carcinoma, Lauren Gonzalez, Muni Rubens, Sreenija Yarlagadda, Guilherme Rabinowits, Noah Kalman

All Publications

Purpose/objective(s): Merkel cell carcinoma (MCC) radiation treatment has historically consisted of standard 1.8-2 Gy fractions treated daily over 4-6 weeks. Hypofractionated treatment regimens have demonstrated tumor control and toxicity equivalence to standard fractionation regimens for common cutaneous malignancies such as basal cell and squamous cell carcinomas. Herein we report the outcomes of hypofractionated versus standard fractionation radiotherapy for MCC at our institution.

Materials/methods: The study involved a retrospective review of MCC patients treated with radiotherapy. Treatment characteristics and patient outcomes, including acute toxicities, disease recurrence and survival data were collected. The cumulative incidence of local and distant failures was estimated, …

Developing Accurate And Automated High-Field And Benchtop Nmr-Based Metabolomic Techniques Using Neural Networks, Hayden Johnson

Electronic Theses and Dissertations Archive

NMR-based metabolomics is an increasingly important tool for understanding organisms and biological systems; however, data processing is an often-tedious process and access to high-field NMR spectrometers is limited. Conventional data processing for metabolite profiling relies on slow, user-dependent analysis, yet modern artificial intelligence techniques have scantly been explored in quantitative NMR applications despite their industry transforming effects in many major data processing applications. This work aims to develop neural network approaches to fully automate the identification and quantification of metabolites from NMR spectra while increasing speed and throughput compared to conventional analysis. Our initial investigation implements neural networks for the …

Mates: A Deep Learning-Based Model For Locus-Specific Quantification Of Transposable Elements In Single Cell, Ruohan Wang, Yumin Zheng, Zijian Zhang, Kailu Song, Erxi Wu, Xiaopeng Zhu, Tao P Wu, Jun Ding

Faculty, Staff and Students Publications

Transposable elements (TEs) are crucial for genetic diversity and gene regulation. Current single-cell quantification methods often align multi-mapping reads to either 'best-mapped' or 'random-mapped' locations and categorize them at the subfamily levels, overlooking the biological necessity for accurate, locus-specific TE quantification. Moreover, these existing methods are primarily designed for and focused on transcriptomics data, which restricts their adaptability to single-cell data of other modalities. To address these challenges, here we introduce MATES, a deep-learning approach that accurately allocates multi-mapping reads to specific loci of TEs, utilizing context from adjacent read alignments flanking the TE locus. When applied to diverse single-cell …

Irrigation Companies And The Great Salt Lake: Managing Water In Utah Amidst Climate Change, Chloe Francis, Kendall Becker, Matt Yost, Scott Hotaling

All Current Publications

The Great Salt Lake, a key ecosystem and major component of Utah’s identity and economy, is threatened by rapidly declining water levels. This problem has caused widespread and ongoing concern from the public, and the Utah Legislature is faced with making water allocation and management decisions to adapt to the state’s growing population and changing environment. One important group in this discussion is irrigation companies. Here, we examine how irrigation companies receive and maintain water rights in Utah, their significant role in water management, and recent legislative efforts to incentivize efficient water use so more water reaches the Great Salt …

Porous Iron Electrodes Reduce Energy Consumption During Electrocoagulation Of A Virus Surrogate: Insights Into Performance Enhancements Using Three-Dimensional Neutron Computed Tomography, Kyungho Kim, Cesar Castillo, Gyoung G Jang, Yuxuan Zhang, Costas Tsouris, Shankararaman Chellam

Faculty, Staff and Students Publications

Electrocoagulation has attracted significant attention as an alternative to conventional chemical coagulation because it is capable of removing a wide range of contaminants and has several potential advantages. In contrast to most electrocoagulation research that has been performed with nonporous electrodes, in this study, we demonstrate energy-efficient iron electrocoagulation using porous electrodes. In batch operation, investigation of the external pore structures through optical microscopy suggested that a low porosity electrode with sparse connection between pores may lead to mechanical failure of the pore network during electrolysis, whereas a high porosity electrode is vulnerable to pore clogging. Electrodes with intermediate porosity, …

Solicitation By Lawyers: Piercing The First Amendment Veil, Louise L. Hill

Maine Law Review

Historically, the legal profession has considered the solicitation of business inappropriate. The profession has articulated this condemnation of solicitation, which developed as a principle of good taste among a small and homogeneous group of practitioners, in the form of specific rules prohibiting its members from engaging in certain forms of conduct. In recent years, the United States Supreme Court has considered various rules that restrict the commercial speech of lawyers. Reviewing these proscriptive rules, the Court struck down categorical bans on lawyer advertising and targeted, direct mail solicitation as violative of the first amendment. Because the free flow of information …

Shell Translucency: A Novel Eggshell Quality Parameter In Broiler Breeders, Duarte Neves, Austin Jasek, Colwayne Morris, Raquel Burin, Kevin Stephens, Marco Rebollo

Proceedings of the Arkansas Nutrition Conference

In the United States, nearly 240 million commercial broiler breeder eggs are incubated weekly with an average hatchability of 79.1% (Third Party Reporting). Between 160 eggs/hen and 125 chicks/hen the loss is considerable. In 2007, an estimated 1% improvement in hatchability would escalate profits by over $25 million to hatcheries and markedly increase profitability in broiler operations (Schaal and Gherian, 2007). In order to tap into top hatchability performances, egg management in commercial hatcheries such as egg storage time and conditions, incubation temperature and humidity, as well as turning frequency are of utmost importance (Vick et al., 1993; Reis et …

Interview: Interviewed By Steven Schnell Editor, The Geographical Bulletin, Thomas J. Baerwald

The Geographical Bulletin

Tom Baerwald is currently President of the Association of American Geographers, and is employed at the National Science Foundation, where he has served in many capacities, most recently as Senior Science Advisor in the Division of Behavioral and Cognitive Sciences and as a program director for the Geography and Regional Science Program. He also is a coordinator for environmental social and behavioral science activities, assisting in the conduct of multidisciplinary efforts that engage social and behavioral scientists in the studies of interactions among human and natural systems. He earned a B.A. in geography and history from Valparaiso University and both …

Working In Pairs Increases Consistency Of Georgia Adopt-A-Stream's Habitat Assessment, Christopher H. Kodani, Robert Bourne, Cody Jones, Michael Kahle, Cecilia Nachtmann

Georgia Journal of Science

Habitat assessment is a skill that is important to stream ecologists of all levels, including volunteers of water quality monitoring programs such as Georgia Adopt-A-Stream (AAS). Some aspects of habitat assessment can be subjective because observers must use their best judgement in assessing some variables, therefore, it is worthwhile to examine the variation in volunteer stream monitor observations, the effect of training, and the reliability of habitat metrics calculated from the data collected. To gain some insight, we asked volunteers attending a workshop at AAS’s 2022 Confluence Conference to complete a Habitat Assessment Worksheet both before and after a short …

Biocontrol Of Red Flour Beetle, Tribolium Castaneum (Herbst) In Stored Wheat Using Entomopathogenic Fungi, Sahand Kamal Khidr, Waran N. Abdullah Agha, Qasim Abdullah Marzani

Polytechnic Journal

This study was conducted to evaluate the efficacy of four entomopathogenic fungi against the red flour beetle, Tribolium castaneum (Herbst) as an alternative to chemical pesticides. The adult stage inside stored wheat was subjected to different concentrations of Beauveria bassiana (Balsamo), Metarhizium anisopliae (Metsch), Verticillium lecanii (Zimmerman), and Paecilomyces ilacinus (Thoms) in either Petri-plates at 7, 15 and 22 days or bag storage at 20, 40 and 60 days exposure times. The first experiment indicated that V. lecanii achieved maximum mortality (58.89 and 57.5%) via interaction with the highest dose of 0.748 × 107 and maximum exposure time of 22 …

Intelligrader: A Framework For Automatic Short Answer Grading, Inconsistency Check And Feedback In Educational Context - Conception, Implementation And Evaluation, Paradesi Sree Lakshmi, Jay B. Simha, Rajeev Ranjan

Karbala International Journal of Modern Science

Automatic Short Answer Grading (ASAG), an escalating realm in natural language understanding, constitutes a focal point of research within the broader field of learning analytics. Over time, many ASAG solutions have been proposed to address the difficulties in teaching. However, no work addressed three crucial aspects of evaluation together, i.e., i) automatic evaluation of brief subjective/descriptive answers written in English, ii) identifying the evaluation inconsistency, and iii) provision of providing feedback about inconsistent evaluation to the evaluator. The current work proposes IntelliGrader, a comprehensive ASAG system that addresses the above-mentioned issues. Automated grading is accomplished through a model answer-based approach. …

Isolation And Characterization Of Fermenting Bacterial Isolates From Vinegar Industry Waste In Local Markets Of Wasit Province, Tayseer Shamran Al-Deresawi

Karbala International Journal of Modern Science

The use of waste in the vinegar industry is an important practice of the food industry worldwide; however, this critical practice is neglected in many parts of Iraq. According to this, the current study was conducted to isolate and characterize fermenting bacterial organisms from this waste in Wasit Province, Iraq. Samples of vinegar industry by-products were collected from local businesses. These samples were prepared by using Hestrin-Schramm (HS) medium. Two methods, direct and indirect inoculations, were followed. The purified growth was examined using morphological and biochemical tests. Moreover, PCR was employed to confirm the identity of each bacterial isolate. The …

Enhancing Human Aging Proteins Detection Based On Bio-Structural Deep Clustering Network, Sondos M. Hammad, Mohamed Talaat Saidahmed, Elsayed A. Sallam, Reda Elbasiony

Journal of Engineering Research

Aging is a major risk factor for numerous chronic diseases and declines in physical and cognitive functions, making it a critical focus of research. Identifying biomarkers that signify biological aging is crucial for developing interventions that can potentially delay age-related diseases. Among these biomarkers, human aging proteins are of significant interest. However, laboratory experiments to discover aging proteins are complex, costly, and time-consuming. Often focusing on single proteins at a time. To address this challenge, we used a clustering algorithm to detect potential human aging proteins. This approach aims to aid biologists in their experimental efforts. Deep clustering, particularly simultaneous …

Designing Adaptive Facades Using Biomimicry For Improving Daylighting In Office Building: A Case Study Of Cairo, Egypt, Hosam Abd El-Aziz Amr, Nada Essam

Journal of Engineering Research

The paper explores the use of biomimicry to enhance façade design and improve daylighting performance in office buildings in Cairo, Egypt. By emulating natural processes, adaptive facades were developed to increase energy efficiency and occupant comfort. Initial studies examined biomimicry principles and international case studies of adaptive facades. Simulations of a façade inspired by the Gazania flower's nyctinasty movement showed significant improvements: the area achieving optimal illuminance (300-3000 lux) increased from 24.2% to 37.4%, and Spatial Daylight Autonomy (SDA) has decreased from 82% to 68%. These findings demonstrate biomimicry's effectiveness in addressing daylighting challenges in hot climates. The research underscores …

A Review Of Effective Urban Strategies For Enhancing Pedestrian Thermal Comfort In High-Temperature Urban Environments, Norhan Mahmoud Mohamed Ibrahim Ali, Ahmed H. Aboulsaadat, Ingy I. El-Darwish, Ayman Gamal Eldin Ahmed Abdel Tawab

Journal of Engineering Research

Abstract- Pedestrian well-being is significantly influenced by the feeling of being thermally comfortable, and enhancing this comfort level contributes to the overall walkability. This study extensively compares the impact of different approaches in enhancing thermal comfort for pedestrians. The evaluation encompasses both fieldwork observations and computer simulations results. The investigated strategies include the urban geometry (arrangement, orientation and shape of urban structures), vegetation, solar-reflective materials, and water features. These strategies are considered the most effective means for improving outdoor thermal comfort. The findings reveal that the key climatic factors influencing outdoor thermal comfort in a microclimate are mean radiant temperature, …

The Thermoplastic Honeycomb As An Eco-Friendly Material For Shelters, Neveen Youssef Azmy, Wesam Aeh Mehanna, Aya Fouad Kahla

Journal of Engineering Research

Nature-inspired design offers distinct environmental characteristics and makes them valuable in the development of structural designs within the construction industry, owing to their inherent natural and aesthetic qualities. Hexagonal structures exhibit remarkable mechanical, structural, and environmental attributes. Consequently, this research focuses on investigating honeycomb configurations composed of thermoplastic materials that engage thermally with the surrounding environment, as well as exploring their applications in temporary structures. The research aims to contribute to a temporary design model for shelter to protect the environment well and improve energy consumption by using a thermoplastic honeycomb to sustainable environment. A specialized model was developed to …

Numerical Study On Enhancing The Geotechnical Behavior Of Strip Footings On Oil-Contaminated Sand Using Stone Columns, Ahmad Nasr, Waseim Azzam, Mohamed Ahmed Mahmoud Abdelrehem

Journal of Engineering Research

Ground improvement techniques are frequently employed in construction sites characterized by weak soil conditions that may result in suboptimal performance. The use of ordinary and encased stone columns aims to enhance endurance, shear strength, and soil hardness, thereby mitigating settlement issues and expediting the consolidation of contaminated sand soils. In this research, a comprehensive investigation involving 74 cases was conducted to assess the behavior of both ordinary stone columns and encased stone columns under strip footing in contaminated sand subgrade. The objective was to discern the impact and characteristics of encapsulation in comparison to encapsulated stone columns, employing a Finite …

Early Autism Detection Using Machine Learning Techniques: A Review, Shaimaa Fouad Sharabash, Hany Ali Elghaish

Journal of Engineering Research

Abstract- This article provides a comprehensive literature review on technology-based interventions for Autism Spectrum Disorder (ASD). It emphasizes the challenges in early detection and treatment of ASD, highlighting the spectrum nature of the disorder. The review discusses traditional diagnostic strategies such as behavioural observations, developmental screening and medical testing and goes on to explore advanced machine learning and deep learning models, including SVM, k-nearest neighbours, decision tree and LSTM, for predicting ASD characteristics in toddlers and children. Additionally, recent techniques employing more than ten strategies for ASD detection are summarized and various datasets used in early detection are described. The …

Curricular Changes Proposed For 2025-2027 Morris Catalog Division Of Social Sciences, Curriculum Committee

Curriculum Committee Reports

No abstract provided.

Spartan Daily, October 10, 2024, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2024

Volume 163, Issue 21