Digital Commons Network^™

Optimization Of Subcritical Butane Extraction Process For Sea Buckthorn Seed Oil And Its Multidimensional Quality Analysis, Niu Xiaotong, Ma Yan, Yang Yuning, Zhang Ting, Zhang Jian, Xu Mingqiang

Food and Machinery

[Objective] To explore the extraction efficiency and quality of sea buckthorn seed oil obtained by subcritical butane extraction. [Methods] Taking extraction yield as the evaluation index, response surface methodology was adopted to optimize the process parameters for subcritical butane extraction of sea buckthorn seed oil (Y-sea buckthorn seed oil). The extraction yield, physicochemical properties (acid value, peroxide value, iodine value, saponification value, and insoluble impurities), fatty acid composition, lipid concomitants (vitamin E, phospholipids, tocopherols, squalene, and sterols), total phenols, total flavonoids, DPPH radical scavenging rate, ABTS+ radical scavenging rate, and FRAP antioxidant capacity were compared and analyzed across sea buckthorn …

Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit Clark Tailings Consolidated Waste Management Area Site Investigation Quality Assurance Project Plan Revision 0 (2025 Update) And Response To Epa Comments. (Dated September 16, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Blockchain-Driven Pharma Supply Chains Towards Industry 6.0, Vijay Ramasamy R

Theses and Dissertations

The pharmaceutical supply chain is undergoing an unprecedented evolution in the wake of Industry 6.0, driven by the need for heightened transparency, security, and real-time intelligence. However, current systems suffer from legacy Enterprise Resource Planning (ERP) constraints, the risk of counterfeit products, temperature sensitivity, and scalability issues due to the surge in Internet of Things (IoT) data.

This research proposes a unified, blockchain-based framework that integrates legacy ERP systems, advanced AI driven forecasting, IoT-enabled traceability, and quantum-enhanced blockchain security to modernize pharmaceutical supply chains.

The study begins by addressing interoperability between ERP and blockchain using middleware and smart contracts, facilitating …

Investigating The Structural And Functional Consequences Of Pathogenic Snps On Human Vegfa Dimer: Insights From Molecular Dynamics Study, Rajib Islam, Jahirul Islam, Mohammad A. Halim

Faculty Articles

Vascular endothelial growth factor A (VEGFA) is a key regulator of angiogenesis. It forms a homodimer and binds to VEGF receptors to activate signaling pathways important for blood vessel growth and maintenance. In this study, we examined the structural and functional effects of two deleterious mutants, R262Q and C266Y, using integrative computational methods. Molecular dynamics simulations and principal component analysis showed that both mutations disrupted crucial interface interactions, including H-bonds, salt bridges, and disulfide linkages. As a result, the dimer conformation became less stable, which was also supported by binding free energy analysis. In addition, structural superimposition analysis revealed that …

Processing Cmcs With Controlled And Variable Matrix Composition, Jon Binner, Becky Steadman, Vinu Vinothini

Ceramic Matrix Composites III

Please click Additional Files below to see the full abstract

Jumpstart Farm Description Template, Mary S. Choate

UNH Cooperative Extension

No abstract provided.

A Guide To Breaking Seed Dormancy Of Common Wetland Plant Species, Samantha R. Kurkowski, Rae Robinson, Sandra E. Johnston, Montana M. Horchler, Adrienne E. Ernst, Margaret D. Haney, Karin M. Kettenring

All Current Publications

This guide was developed from a series of seed dormancy break and germination experiments conducted over 4 years with 41 species. The purpose of this guide is to synthesize the information we learned through these experiments and present the findings for those interested in breaking seed dormancy, such as land managers, restoration practitioners, and wetland researchers. Ultimately, we hope this guidance catalyzes further wetland restoration throughout the Intermountain West.

Higher Education Cybersecurity: A Vulnerability Assessment Of The U.S. South’S Institutional Websites, Zachary W. Taylor, Vivi Vo

Journal of Cybersecurity Education, Research and Practice

As technology continues to advance, it is critical to understand how higher education institutions protect digital information of their stakeholders including students, faculty, and staff through cybersecurity measures. Although conceptual research has articulated various aspects of cybersecurity, no empirical research has explored the cybersecurity of higher education (.edu) websites through a vulnerability scan of these websites via an open PortScan and analysis. To fill a critical gap in the literature, this study conducted a vulnerability scan and open PortScan and analysis of all higher education websites in three of the lowest-income states in the United States: Louisiana (n=112), Mississippi (n=52), …

How Does County Industry Mix Matter For Working-Age Mortality?, Xue Zhang, Iliya Gutin, Shannon M. Monnat, Jennifer Karas Montez

Population Health Research Brief Series

The types of industries that dominate employment in a county shape the health of the entire community, even for people who don't work in those sectors. This brief summarizes findings of a study that examined how five major employment sectors—agriculture, manufacturing, mining and construction, services, and professional services—were associated with overall county-level mortality rates and with mortality from drug overdoses, suicides, alcohol-related causes, and cardiometabolic disease among U.S. adults ages 25-64 from 2000 to 2022 Data are from the National Vital Statistics System and County Business Patterns. Findings show that the effects of local industries shift vary across time and …

Messages And Misogyny: A Creative Intervention Portraying The Embodied Experiences Of Internalized Misogyny, Margaret Janse Van Rensburg

Faculty and Staff Publications

No abstract provided.

Preliminary Evaluation Of A Brief Intervention To Enhance Trauma-Informed Attitudes Among Educators And School Mental Health Counselors, Cheri Shapiro, Courtnie Collins, Kara Foster-Lee, Tristan Collier

Publications

In-service training efforts to support trauma-informed and trauma-responsive practices in school and mental health settings have proliferated in recent years. Despite these efforts, a limited number of measurement instruments with known psychometric properties exist to evaluate the impact of professional training efforts on attitudes toward trauma-informed care.  One exception is the ARTIC Scale, developed to assess attitudes related to trauma-informed care among both educators and human services professionals.  Using the ARTIC-35, this pilot, pre-post, single group study examined changes in trauma-informed care attitudes among a sample of elementary school educators and school mental health counselors who underwent a brief training …

Defect-Driven Degradation Of Mxenes In Aqueous Environments And Mitigation Strategies: Insights From First-Principles, Ana Maria Stratulat, Valentina Nesterova, Vladislav Korostelev, Majid Beidaghi, Vadym Mochalin, Konstantin Klyukin

Chemistry Faculty Research & Creative Works

MXenes have attracted considerable attention due to their tunable surface chemistry, high electrical conductivity, and ease of solution processing, making them promising candidates for a wide array of applications. The inherent tendency of MXenes to degrade under environmental conditions constrains their compositional diversity and limits certain practical applications. Our computational study shows that degradation of defect-free Ti₃C₂Txis kinetically limited, whereas common defects markedly lower the activation barriers for water attack. Using ab initio molecular dynamics simulations (AIMD) combined with thermodynamic analysis, we show that titanium vacancies VTiact as active sites for the protonation of subsurface carbon …

Adherence To Integrative Care, Oncology Healthcare Utilization, Opioid Use And Hospitalization, Eran Ben-Arye, Dan Greenberg, Noah Samuels, Ana Maria Lopez, Tzahit Simon-Tuval

Kimmel Cancer Center Faculty Papers

Research on the relationship between integrative oncology (IO) programs and dispensing of chemotherapy agents and supportive care drugs, and hospitalization rates is limited. The present study examined these outcomes in chemotherapy-treated patients with cancer, comparing patients highly adherent to integrative care (high-AIC) to those with low adherence (low-AIC). Data from patients with cancer treated with taxane and/or platinum-based agents participating in an ongoing prospective, controlled pragmatic trial were examined retrospectively. Patients were referred to an IO consultation and weekly treatments at 3 medical centers in Northern Israel, with high-AIC defined as attending ≥4 sessions at 6 weeks; low-AIC, 0-3 sessions. …

Microplastic Pollution In Marine Ecosystems: Sources, Impacts, Andstakeholder-Based Solutions, Seren Acarer Arat

Turkish Journal of Biology

Microplastics (MPs) are plastic particles of anthropogenic origin with a size range of 1–5000 μm. Marine MP pollution is increasingly recognized as a significant global environmental challenge. MPs, which enter marine ecosystems from land- and marine-based sources, pose physical, chemical, and biological risks due to the adsorption of various pollutants and the formation of biofilm layers. MPs are found in various organisms from lower to higher trophic levels of the marine food web. The negative effects of MPs on marine organisms depend on their abundance, their characteristics, and the exposure time of organisms to MPs. MPs can adversely affect various …

Application Of Biological And Green Nanomaterials In Wastewater Treatment: Techniques For The Effective Removal Of Dyes, Heavy Metals, And Organic Pollutants, Emi̇ne Sena Kazan Kaya, Zeynep Ci̇ğeroğlu, Tansel Kemerli̇ Kalbaran, Başak Temur Ergan, Zeynep Mi̇ne Şenol, Meral Yildirim Yalçin

Turkish Journal of Biology

Background/aim: Wastewater from industrial, agricultural, and residential sources poses significant environmental and public health risks due to the presence of dyes, heavy metals, and organic pollutants. Conventional treatment methods are often inadequate for the complete removal of these pollutants. Therefore, the development of sustainable, environmentally friendly, and highly efficient treatment techniques has become increasingly important. The aim of this review is to evaluate the application of biological and green nanomaterials in wastewater treatment and to compare their effectiveness against different types of pollutants (dyes, heavy metals, and organics).

Materials and methods: This review provides detailed information on the removal of …

Green Carbon Dots In The Era Of Ai: Sustainable Synthesis, Intelligent Drug Delivery, Advanced Diagnostics, And Bioimaging, Emi̇ne Sezer, Fulden Ulucan Karnak, Si̇nan Akgöl

Turkish Journal of Biology

Background/aim: Green carbon dots (GCDs) are a rapidly developing class of nanomaterials that are revolutionizing various scientific disciplines due to their unique optical properties, low toxicity, and sustainable synthesis. This review offers a comprehensive roadmap for the field, emphasizing the synergy between GCDs and artificial intelligence (AI).

Materials and methods: We begin by detailing the sustainable synthesis of GCDs, highlighting green chemistry principles and the transformative role of AI in optimizing their production. Subsequently, we explore the critical characterization of GCDs, including their structural, optical, and biocompatibility assessment. The core of this study explores the diverse biomedical applications of GCDs, …

Principles Of Environmentally Sustainable Agriculture For Building Resilient And Resource-Efficient Food Systems, Ramazan Çakmakçi, Songül Çakmakçi, Muhammet Fati̇h Çakmakçi

Turkish Journal of Biology

As the demand for greater quantities of higher-quality food grows with population expansion, climate change, urbanization, and unsustainable agricultural practices accelerate the loss of arable land, ultimately threatening agricultural sustainability. Population growth necessitates a transition to nutritious, safe, and healthy food production systems that ensure higher yields, less reduced waste, improved social outcomes, and the integration of economic, social, and environmental sustainability principles. Urgent global challenges such as resource depletion, biodiversity loss, and climate change necessitate the protection of ecosystems and the sustainable use of natural resources. Agricultural systems must enhance food production and supply productivity, strengthen system resilience, and …

Artificial Intelligence In Medical And Biological Research: Promise And Perils Of Chatgpt And Deepseek In Advancing Healthcare, Mahmut Enes Kayaalp, Onur Gülteki̇n, Serhat Akçaalan, Hami̇t Çağlayan Kahraman, Hüseyi̇n Nevzat Topçu, Gülşah Kavrul Kayaalp

Turkish Journal of Biology

Background/aim: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT and DeepSeek, is being increasingly applied in clinical care, research, and education. The aim of this review is to examine how these tools may transform the conduct of medical and biological research and to define their limitations.

Materials and methods: A narrative synthesis of the literature was performed, encompassing studies published between 2020 and 2025. Peer-reviewed journals, systematic reviews, and high-impact original research articles were included to ensure an evidence-based overview. The principle applications, validation metrics, and clinical implications across orthopedics, oncology, cardiology, internal medicine, and the biological …

A Systematic Review Of Machine Learning In Heart Disease Prediction, Tathagat Banerjee, İshak Paçal

Turkish Journal of Biology

Background/aim: Cardiovascular diseases (CVDs) are a leading cause of global mortality, prompting the need for advanced predictive tools. While machine learning (ML) offers a powerful solution, there are significant challenges to clinical translation. This systematic review synthesizes the current state of ML in heart disease prediction, evaluating algorithmic performance, data utilization, and key translational challenges.

Materials and methods: Following PRISMA guidelines, a systematic search of literature published up to 2025 was conducted. From an initial pool of over 2500 records, a rigorous screening process yielded 65 studies for in-depth qualitative synthesis.

Results: Analysis showed that ensemble learning models dominate prediction …

Flavonoids And Phenolic Compounds: A Promising Avenue For Neurodegenerative Disease Therapy, Tesli̇me Özge Şahi̇n, Özge Cemali̇, Merve Özdemi̇r, Şeri̇fe Ayten, Duygu Ağagündüz

Turkish Journal of Biology

Background/aim: Neurodegenerative diseases such as Alzheimer’s, Parkinson’s, Huntington’s, and ALS are characterized by a progressive loss of nerve cells, for which no definitive cure currently exists. These conditions share common pathological mechanisms, including chronic neuroinflammation, oxidative stress, protein aggregation, and mitochondrial dysfunction. Flavonoids and other plant-derived phenolic compounds have recently attracted attention for the treatment of such conditions due to their antiinflammatory and antioxidant properties. This review explores the neuroprotective mechanisms of flavonoids and evaluates their potential for the prevention and treatment of neurodegenerative diseases.

Materials and methods: A literature search of the Web of Science, PubMed, and ScienceDirect databases …

Tumor-Specific Cytotoxicity Of Pyrazole-Based Chalcone Derivatives In Human Oral Squamous Cell Carcinoma Cell Lines, Mehtap Tuğrak Sakarya, Hali̇se İnci̇ Gül, Hiroshi Sakagami, Junko Nagai, Yoshihiro Uesawa, Kenjiro Bandow

Turkish Journal of Biology

Background/aim: Pyrazole-based chalcone hybrids are notable in medicinal chemistry for their potential biological activity, although their tumor-specific cytotoxicity and mechanisms remain unknown in OSCC cells. This first study of pyrazole-chalcone hybrids in OSCC cells explores the tumor-selective cytotoxic effects and underlying cell death mechanisms triggered by a series of 10 newly synthesized pyrazole-based compounds (MS1MS10) in OSCC cell lines. Material and methods: The cytotoxic effects of the compounds were assessed using the MTT assay on four human OSCC cell lines and three types of normal human oral cells. The tumor-selectivity index (TS) and potency-selectivity expression (PSE) were calculated, and active …

The Effects Of The Combined Use Of Carbon Quantum Dots And Antibacterial Agents On Pathogenic Bacteria, Derya Doğanay, İbrahi̇m Serkan Avşar, Şevval Maral Özcan Aykol, Gamze Çamlik, Besa Bi̇lakaya, İsmai̇l Tuncer Deği̇m

Turkish Journal of Biology

Background/aim: This study evaluates the challenges associated with overcoming antimicrobial resistance and innovative approaches to combat multidrug-resistant (MDR) bacterial infections.

Materials and methods: Novel codoped carbon quantum dots (CCQDs) were synthesized using citric acid as the carbon source and L-cysteine as the nitrogen codoping atom. The formulation in which citric acid was retained was designated as CCQDs-1, whereas the purified version, from which citric acid was removed, was termed CCQDs-2. The antibacterial properties of CCQDs-1 and CCQDs-2 were compared using the agar well diffusion method. This study comprehensively characterizes these nanomaterials and evaluates their antibacterial potential, both alone and in …

An Analytical Review Of Brainwave Analysis For Mind-Controlled Drones: Utilizing Hybrid Neural Networks And Motor Imagery, Ather Salah Hadi Al-Isawi, Sufri Muhammad, Novia Indriaty Admodisastro, Siti Anom Ahmad, Raihani Mohamed

Baghdad Science Journal

Brain-computer interfaces (BCIs) provide direct drone control by interpreting motor imagery brain impulses. This review paper critically assesses the progress made in using hybrid neural networks and motor imagery to operate mind-controlled drones and addresses the challenges of encoding and decoding complex brain signals for precise and reliable drone control. In this review paper, the primary objective is to analyze and synthesize the latest brainwave analysis technologies, focusing on hybrid neural networks and motor imagery tasks for drone control via brain-computer interfaces. This study aims to provide insights into the effectiveness of these technologies in enhancing the accuracy and reliability …

New Economic Hub Proposal In West Java Based On Toll Road Connectivity Using Community Detection, Ichwanul Muslim Karo Karo, Mohd Farhan Bin Md. Fudzee, Shahreen Binti Kasim, Azizul Azhar Ramli

Baghdad Science Journal

A region's economic activity has a significant impact on the growth of its surroundings. Adequate connectivity (e.g., toll roads, railways, airlines and others) are essential to the inter-regional economy and encourage new economic hub. Indonesia is intensively constructing toll road infrastructure and West Java province has the highest number of planned/operating it. This study aims to identify new economic hubs in West Java based on connectivity between regencies/cities with toll roads. The new hubs are identified by using a community detection approach. To support the idea, this study illustrates cities/regencies as vertices and connectivity of cities/regencies with toll roads as …

Effects Of Coffee Preparation Processes On Colloidal Particle Formation And Antioxidant Properties, Gao Guanzhen, Rao Pingfan, Xu Yao, Zhou Jianwu, Shan Yunhui

Food and Machinery

[Objective] To investigate the effects of grinding size and extraction temperature on the chemical composition, colloidal properties, and antioxidant activity of coffee colloidal particles, and to elucidate their formation and characteristics. [Methods] Coffee infusions were prepared from whole beans, medium-ground (0.9 mm), and fine-ground (0.3 mm) coffee beans using hot brewing (100 ℃, 3 min) and cold brewing (4 ℃, 24 h). The content of total solids, total sugars, proteins, total polyphenols, and lipids were determined. The colloidal properties were characterized using a nanoparticle size and zeta potential analyzer. The infusions were separated into a filtrate (true solution phase) and …

Effects Of Different Drying Methods On Drying Characteristics And Quality Of Taro Strips, Li Xiaoyun, Xie Ronghua, Chen Sheng, Han Chunyang, Chen Junliang, Ren Aiqing, Duan Zhenhua

Food and Machinery

[Objective] To reduce postharvest spoilage of taro and improve the drying quality of taro strips. [Methods] Four drying methods, i.e., vacuum microwave drying (VMD), hot air drying (HAD), heat pump drying (HPD), and far-infrared radiation drying (FIRD), were used to analyze their effects on the drying characteristics, physical properties (rehydration ratio, hardness, and color difference), moisture migration and distribution, and microstructure of taro strips. [Results] In terms of drying efficiency, VMD demonstrated the shortest free water removal time, followed by HAD and HPD. For color performance, the L* value followed the order HAD >HPD >FIRD >VMD. In terms of hardness, …

Investigating Characteristic Droplet Size Distributions In Large Eddy Simulations Of Stratocumulus Clouds, Nithin Allwayin, Daniel J. Miller, Kamal Kant Chandrakar, Michael L. Larsen, Raymond A. Shaw

Michigan Tech Publications

Cloud processes relevant to radiative and precipitation properties depend on the shape of the cloud droplet size distribution. Recent holographic observations revealed that cloud droplet populations do not have the same size distribution shapes throughout but form regions of characteristic distributions with similar microphysical properties. We investigate the existence and properties of these characteristic distributions within Large-Eddy Simulations of stratocumulus clouds using Lagrangian and bin microphysics schemes. Distribution types are identified, revealing localized characteristic distributions that vary on the scale of the largest convective cell for simulations with bin microphysics. The results from the Lagrangian microphysics scheme hint at similar …

Reliable Detection Of Sf6breakdown Byproducts Using 2d Non-Hexagonal Carbon Allotrope Nanosheets, Pedro Elias Priori Spalenza, Fábio Arthur Leão De Souza, Debora C.M. Rodrigues, Rodrigo G. Amorim, Cesar E.P. Villegas, Wanderlã L. Scopel, Ravindra Pandey

Michigan Tech Publications

Sulfur hexafluoride (SF6), widely used as an insulating gas in the power industry, decomposes during long-term operation into byproducts such as H2S, SO2, SO2F2, and SOF2. Reliable detection of these compounds is essential, since their type and concentration provide diagnostic signatures of faults in gas-insulated switchgear. We employ density functional theory combined with nonequilibrium Green’s function calculations to evaluate pristine two-dimensional carbon allotropes with nonhexagonal rings, namely Graphene+, T-graphene, and Biphenylene, as potential field-effect nanosensors. To characterize the surfaces’ atomic structures, we simulated scanning tunneling microscopy images for filled states. Each surface exhibits a distinct brightness pattern that allows its …

Molecular And Cellular Characterization Of Planarian Stem Cell Microenvironments, Mol Mir, Riley Galton, Shao-Fu Nien, Enya R Dewars, Carlos Guerrero-Hernández, Jason A Morrison, Mary C Mckinney, Lucinda E Maddera, Melainia L Mcclain, Kate E Hall, Seth Malloy, Shiyuan Chen, Brian D Slaughter, Sean A Mckinney, Stephanie H Nowotarski, Anoja Perera, Blair W Benham-Pyle, Alejandro Sánchez Alvarado

Faculty, Staff and Students Publications

Stem cell niches are essential for regulating stem cell self-renewal and differentiation during tissue repair and regeneration. However, the mechanisms supporting stem cell function in highly regenerative organisms, such as the freshwater planarian Schmidtea mediterranea, remain unclear. Using spatial transcriptomics, we identified two cell types associated with planarian stem cells: secretory cells we term "hecatonoblasts" and intestinal cells. Surprisingly, while hecatonoblasts were in close physical proximity to stem cells in the mesenchyme, they were dispensable for regeneration. In contrast, intestinal cells, despite lacking direct contact with stem cells, regulated both their position and function during regeneration. Electron microscopy revealed diverse …

The Roles Of Sirt1 In Breast And Gynecologic Malignancies

Faculty, Staff and Students Publications

Sirtuin 1 (SIRT1), an NAD+-dependent histone deacetylase, exerts complex and context-dependent effects in breast and gynecological cancers. By deacetylating histone and non-histone proteins such as p53, FOXO, and NF-κB, SIRT1 regulates essential processes including DNA repair, apoptosis, metabolism, and stress response. In breast cancer, SIRT1 may act as a tumor suppressor in early stages by maintaining genomic stability but promotes epithelial–mesenchymal transition, metastasis, and chemoresistance in aggressive subtypes such as triple-negative breast cancer. Similarly, in gynecological cancers, SIRT1 displays dual roles: promoting proliferation via estrogen signaling and p53/FOXO1 inhibition in Type I endometrial cancer yet potentially supporting DNA repair in …