Digital Commons Network^™

Preparation And Characterization Of Nanoemulsions Of Grape Seed Polyphenol-Loaded Camellia Oil, Han Ying, Liu Jiabao, Li Hang, Huang Zonghai, He Xinyi, Li Yun

Food and Machinery

[Objective] To develop a highly stable camellia oil nanoemulsion system for loading grape seed polyphenol (GSP) to enhance its antioxidant property and solubility stability. [Methods] The formula is optimized based on the pseudo -ternary phase diagram method (moil phase ∶msurfactant phase =8∶2, mTween 80∶mSpan 80=5∶5, absolute ethanol is used as the cosurfactant, and Km =4).The emulsion stability and water distribution are characterized by Zeta potential and low -field nuclear magnetic resonance, and its antioxidant activity is evaluated. [Results] The obtained W/O nanoemulsion has a particle size of (326.5±2.7) nm, an absolute value of Zeta potential of (46.4±0.2) mV, a polydispersity …

Pork Freshness Monitoring Based On Near-Infrared Spectroscopy And Random Forest Improved By Fruit Fly Optimization Algorithm, Zhang Li, Li Zhihui, Ma Mingxing

Food and Machinery

[Objective] To achieve rapid, non-destructive, and high-precision monitoring of pork freshness, addressing the low efficiency, high destructiveness, and insufficient prediction accuracy of single models in conventional monitoring. [Methods] A pork freshness monitoring model was proposed based on near-infrared spectroscopy (NIRS) combined with random forest (RF) improved by the fruit fly optimization algorithm (FOA). With the total volatile basic nitrogen (TVB-N) content as the freshness indicator, near-infrared spectral data of pork samples at different storage stages are collected (scanning range: 1 000~1 800 nm). Spectral noise and baseline drift are eliminated via a preprocessing method combining multiplicative scatter correction (MSC) and …

Application Of Multi-Information Integration Technology In Nondestructive Detection Of Navel Orange Sugar Content, He Xiaotian, Wang Wenfan, Shen Jie, Tian Erlin

Food and Machinery

[Objective] To solve the problem of low detection accuracy in existing nondestructive detection methods for navel orange sugar content. [Methods] Based on the analysis of detection schemes, a multi-information integration method for nondestructive detection of navel orange sugar content is proposed. Data collection is conducted using spectral detection technology, machine vision technology, and electronic nose technology. Spectral data is obtained by competitive adaptive weighted sampling of 17 wavelength variables. The principal component analysis is applied to extract 6 features from machine vision data and 4 features from electronic nose sensor data, which are then used as inputs to an improved …

Trajectory Planning For Food Handling Robots Based On Hybrid-Improved Whale Optimization Algorithm, Huang Lixia, Li Wei, Yan Chuyu, Liu Mingqing

Food and Machinery

[Objective] To improve the motion efficiency and operational stability of food handling robots, a robot trajectory planning method is proposed using a hybrid-improved whale optimization algorithm. [Methods] Firstly, a "quintic-cubic-quintic" hybrid polynomial trajectory model is constructed to ensure smoothness during the start and stop phases. Secondly, a weighted comprehensive objective function is established, aiming to minimize both running time and the integral of Jerk, thereby quantifying the overall performance of the trajectory. Then, addressing the shortcomings of the standard whale algorithm, such as the high randomness of population initialization and the imbalance between global exploration and local development, the standard …

Research Progress Of Anthocyanin-Loaded Aquatic Product Freshness Indicator Films, Zhao Zunle, Li Yun, Li Yu, Suo Jintie, Zhang Chun

Food and Machinery

Anthocyanin-loaded freshness indicator films can intuitively reflect the freshness of aquatic products through color changes. They are pH-sensitive and have characteristics such as natural safety and antioxidant properties. Although there have been a large number of studies on them, they still face huge challenges in aspects such as color development, stability, and sensitivity. This paper mainly summarizes the research on natural anthocyanins in pH-sensitive indicator films and their application in monitoring the freshness of aquatic products. The advantages of anthocyanins as indicators are analyzed, and measures to improve the performance of anthocyanin-loaded indicator films are further discussed. The focus is …

Intelligent Online Detection Method For Food Packaging Defects Based On Improved Deep Learning, Shen Gao, Wang Zijian, Wang Xiaofeng, Li Ruiwen

Food and Machinery

[Objective] To propose an intelligent detection method that balances detection accuracy and speed for the problems of low manual detection efficiency, high missed and false detection rates, and insufficient recognition ability of traditional machine vision algorithms for complex texture packaging and small defects in packaging defect detection at current food production lines. [Methods] Using Swin Transformer as the core feature extraction module, this study utilizes its modeling ability for global image information and multi-scale feature fusion advantages to accurately capture defect features, such as small wrinkles and printing offsets on the packaging surface. Simultaneously, the YOLOv 12 fast detection framework …

Molecular Survival Strategies Against Kidney Filtration: Implications For Therapeutic Protein Engineering, William Heaps, Anna Elise Packard, Kristina M. Mccammon, Tyler P. Green, Joseph P. Talley, Bradley C. Bundy, Dennis Della Corte

Faculty Publications

The glomerular filtration barrier poses a significant challenge for circulating proteins, with molecules below ~60–70 kDa facing rapid renal clearance. Endogenous proteins have evolved sophisticated evasion mechanisms including oligomerization, carrier binding, electrostatic repulsion, and FcRn-mediated recycling. Understanding these natural strategies provides blueprints for engineering therapeutic proteins with improved pharmacokinetics. This review examines how endogenous proteins resist filtration, evaluates their application in protein engineering, and discusses clinical translation including established technologies (PEGylation, Fc-fusion) and emerging strategies (albumin-binding domains, glycoengineering). We address critical challenges of balancing half-life extension with tissue penetration, biological activity, and immunogenicity—essential considerations for the rational design of next-generation …

Single-Molecule Mechanostructural Fingerprinting Of Nucleic Acid Conformations, Prakash Shrestha, Hans T. Bergal, William M. Shih, Wesley P. Wong

Chemistry Faculty Publications

Understanding the three-dimensional structure and mechanical response of biomolecules is key to uncovering their molecular mechanisms, particularly in contexts where force plays a regulatory role. Structural methods such as X-ray crystallography, Cryo-electron microscopy, and Nuclear Magnetic Resonance (NMR) spectroscopy provide high-resolution conformational data, while single-molecule force spectroscopy reveals mechanical properties—but these approaches are rarely integrated. A more comprehensive understanding of structure-function relationships, including nonequilibrium conformations and transitions under force, calls for methods capable of simultaneously resolving structural and mechanical properties at the single-molecule level. To meet this need, we present a DNA nanoswitch calipers platform capable of both measuring multiple …

Optimized Photoemission From Organic Molecules In 2d Layered Halide Perovskites, Muhammad S. Muhammad, Dilruba A. Popy, Hamza Shoukat, John M. Lane, Neeraj Rai, Vojtěch Vaněček, Zdeněk Remeš, Romana Kučerková, Vladimir Babin, Chenjia Mi, Yitong Dong, Mark D. Smith, Novruz G. Akhmedov, Daniel T. Glatzhofer, Bayram Saparov

Faculty Publications

In recent years, hybrid organic–inorganic metal halides have been at the forefront of materials research. Typically, the functional (e.g., optoelectronic) properties of hybrid halides are derived from the inorganic structural part, whereas the organic structural units can add extra advantages in terms of stability, rigidity, and processability. Here, we report the design, synthesis, and characterization of two new hybrid materials in which the outstanding photophysical properties originate from the organic structural part. The new compounds, (C₁₅H16N)₂CdCl₄ and((Br)C₁₅H₁₅N)₂CdCl₄, have 2D layered Ruddlesden–Popper-type perovskite structures. These hybrids are blue-white …

Strategies To Reduce Safety Accidents In Chemical Facilities, Travon Eshawn Herriotte

Walden Dissertations and Doctoral Studies

Chemical-industry accidents remain a persistent threat capable of injuring workers, damaging communities, and destabilizing organizations, despite decades of safety regulations and technological advancements. Chemical facility managers, workers’ families, emergency responders, local communities, and entire supply chains bear the burden of every preventable failure. Grounded in human capital theory, the purpose of this qualitative pragmatic research project was to identify and explore effective strategies that managers use to reduce safety accidents in chemical facilities. The participants were six managers from chemical facilities in the eastern United States. Data were collected using semistructured and publicly available documents. Through reflexive thematic analysis, five …

Academic Senate - Agenda, 01/13/2026, Academic Senate

Academic Senate Agendas

No abstract provided.

Optimization Of Deep Eutectic Solvent (Des ) Extraction Process For Astaxanthin From Haematococcus Pluvialis And Evaluation Of Its Antioxidant Activity, Wang Fanghong, Wang Meng, Zhao Xiaoyan, Feng Jinghui, Liu Hongkai

Food and Machinery

[Objective] To optimize the extraction process of astaxanthin from Haematococcus pluvialis with deep eutectic solvent (DES) and evaluate the antioxidant activity of the extracted astaxanthin. [Methods] The choline chloride-ethylene glycol system is employed to optimize the astaxanthin extraction process from H.pluvialis through single-factor experiments and response surface methodology, with extraction rate as the key indicator. The DPPH and hydroxyl radical scavenging activities of astaxanthin are determined, followed by assessment of preservation effects on fresh-cut apples. [Results] The optimal process parameters for the extraction of astaxanthin from H.pluvialis by choline chloride-ethylene glycol are determined as follows: solvent water content of 10%, …

The Corpus Juris Of (Alaska Native) Inherent Tribal Sovereignty, Nazune Menka

Alaska Law Review

The inherent Tribal sovereignty of Native nations predates the formation of the United States and is reflected in the constitutional vision of tripartite sovereignty. Yet their sovereignty is oft diminished explicitly by federal law or implicitly by federal courts. This implicit divestiture is often the result of the federal judiciary’s inconsistent interpretations of Indigenous Peoples law. This Article argues that a more principled and coherent approach for federal judges would be to consistently make use of the corpus juris, or whole body of law, including the in pari materia or affiliated statutes canon. The Article posits that the corpus juris …

“Parked Under The Influence” Is Not A Crime: Why The Alaska Supreme Court’S Broad Interpretation Of “Operating A Vehicle” Is Wrong, Paul A. Clark

Alaska Law Review

In Jacobson v. State, the Alaska Supreme Court interpreted the word “operate” in Alaska’s driving under the influence statute to include sitting in a running, parked car. Jacobson was part of a national trend. In the last few decades, courts in about half of states have interpreted “operate” to mean “being in control of” or “exercising dominion over” a vehicle—for example, sitting in an unmoving vehicle. This judge-made law is controversial as it expands the definition of “operate” without legislative approval. As one dissenting justice put it in a case similar to Jacobson, “[t]he effect of the majority opinion is …

Tuning Oxygen Reduction Kinetics In Lasrcoo4 With Strained Epitaxial Thin Films And Wrinkled Freestanding Membranes, Habib Rostaghi Chalaki, Ebenezer Sessi, Mohammad El Loubani, Dongkyu Lee

Faculty Publications

Sluggish oxygen reduction reaction (ORR) remains a critical barrier to advancing intermediate-temperature electrochemical energy devices. Here, we demonstrate that strain engineering in two platforms, epitaxial thin films and freestanding membranes, systematically tunes ORR kinetics in Ruddlesden-Popper LaSrCoO4. In epitaxial films, film thickness is varied to control in-plane tensile strain, whereas in freestanding membranes strain relaxation during the release step using water-soluble sacrificial layers produces flat or wrinkled architectures. Electrochemical impedance spectroscopy analysis reveals more than an order of magnitude increase in the oxygen surface exchange coefficient for tensile-strained films relative to relaxed films, together with a larger oxygen vacancy concentration. …

Accuracy Of Glenohumeral Joint Center Of Rotation Estimates Using Traditional Motion Capture Versus Bi-Plane Fluoroscopy, Julia A. Dunn, Ola Alsaadi, Kevin Shelburne, Michelle B. Sabick

Mechanical and Materials Engineering: Faculty Scholarship

Accurate estimation of the glenohumeral joint center of rotation is critical for biomechanical modeling of shoulder motion. This study evaluated the accuracy of three predictive methods for estimating glenohumeral joint center of rotation using optical motion capture, compared against a benchmark derived from synchronous bi-plane fluoroscopy. Five healthy adults performed shoulder abduction, flexion, and external rotation in 90° abducted and adducted positions. Root mean square error and axial errors were calculated across the full range of motion. Results showed that none of the predictive methods met clinically acceptable thresholds, with absolute error exceeding 10 mm and axial errors surpassing ±5 …

Investigating Host Factors In Coronavirus Assembly And Egress, Surovi Binte Sharmin Mohona

Dissertations

Coronavirus (CoV) structural proteins congregate at the ER-Golgi intermediate compartments (ERGIC) prior to virus budding into the organelle lumen. Subsequent trafficking and fusion of virus-containing, ERGIC-derived vesicles then release nascent viruses from infected cells. Our findings in this dissertation illuminate mechanisms by which CoV structural proteins coalesce at the virus assembly and budding sites. The cytoplasmic tails of all CoV spike (S) glycoproteins contain variants of a consensus KxKxx coatomer-binding motif. Host coatomer complexes facilitate retrograde trafficking of client cargo proteins via recognition of such motifs. Utilizing reverse genetics methodologies, we introduced variations in the S coatomer motif in a …

2026-01-13 Minutes, Morehead State University. Staff Congress.

Staff Congress Records

Staff Congress meeting minutes from January 13, 2026.

Identifying Priority Research Questions For Decentralized Wastewater, Bryan W Brooks, Timothy Callahan, Jacob K Stanley, Jamie Holodak, Kevin M Stroski, Alissa H Cox, Thomas W Groves, Anish Jantrania, Jeff C Moeller, Kris Neset, Christopher Walker, Harry Zhang, Amal Bakchan, Kelly D Alley, Jim Bell, Allison Blodig, Eric Casey, Donna Cosper, Victor D'Amato, Mark A Elliott, Greg Graves, Roxanne Groover, Robert Himschoot, Mary G Lusk, Jillian Maxcy-Brown, David Meints, Rojelio Mejia, Matt Pace, Benjamin J Ryan, Brian Scheffe, Tom Schimelfenig, June E Wolfe, Sara F Heger

Faculty, Staff and Students Publications

Decentralized wastewater treatment and reuse represent critical infrastructure across the rural-periurban-urban continuum around the world. Effective, efficient, resilient, and equitable implementation of on-premise technologies and management systems is part of a One Water approach and necessary to protect public health and the environment, yet inconsistent delivery of essential public health services persists in many regions, including across states, tribes, and territories of the United States. We initiated a groundbreaking effort to understand challenges and to identify research opportunities related to the science and practice of decentralized wastewater. A horizon scanning exercise using a bottom up and transparent key questions approach …

Prevalence Of And Factors Associated With Nurse Burnout In The Us, Megha K. Shah, Nikhila Gandrakota, Jeannie P. Cimiotti, Neena Ghose, Miranda Moore, Mohammed K. Ali

Individual Articles

IMPORTANCE Clinician burnout is a major risk to the health of the US. Nurses make up most of the health care workforce, and estimating nursing burnout and associated factors is vital for addressing the causes of burnout.

OBJECTIVE To measure rates of nurse burnout and examine factors associated with leaving or considering leaving employment owing to burnout. DESIGN,

SETTING, AND PARTICIPANTS This secondary analysis used cross-sectional survey data collected from April 30 to October 12, 2018, in the National Sample Survey of Registered Nurses in the US. All nurses who responded were included (N = 50 273). Data were analyzed …

Intelligent Prediction Model For Icing Of Asphalt Pavements In Cold Regions Oriented To Geothermal Deicing Systems, Junming Mo, Ke Wu, Jiading Jiang, Lei Qu, Wenbin Wei, Jinfu Zhu

Faculty Research, Scholarly, and Creative Activity

To address traffic safety hazards from asphalt pavement icing in Xinjiang’s cold regions and inefficiencies of conventional deicing and imprecise geothermal deicing systems, this study focused on local asphalt surfaces. Using “outdoor qualitative screening and indoor quantitative verification”, key variables were identified via controlled tests and their coupling effects on the time to complete icing were quantified through an L16(4⁴) orthogonal test (a 4-factor, 4-level design encompassing 16 test groups). A Backpropagation (BP) neural network model (3 inputs, 5 hidden neurons, and a learning rate of 0.7) optimized with 64 datasets was established to predict the time to …

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

A Real-Time Mobile Robotic System For Crack Detection In Construction Using Two-Stage Deep Learning, Emmanuella Ogun, Yong Ann Voeurn, Doyun Lee

Civil Engineering & Construction: Faculty Publications

The deterioration of civil infrastructure poses a significant threat to public safety, yet conventional manual inspections remain subjective, labor-intensive, and constrained by accessibility. To address these challenges, this paper presents a real-time robotic inspection system that integrates deep learning perception and autonomous navigation. The proposed framework employs a two-stage neural network: a U-Net for initial segmentation followed by a Pix2Pix conditional generative adversarial network (GAN) that utilizes adversarial residual learning to refine boundary accuracy and suppress false positives. When deployed on an Unmanned Ground Vehicle (UGV) equipped with an RGB-D camera and LiDAR, this framework enables simultaneous automated crack detection …

Influence Of Co2 Curing On Carbonation Depth, Phase Composition, And Micro-Mechanical Properties Of Fbc Ash-Blended Cementitious Materials, Heejung Jun, Seongho Han, Sanghwon Wi, Jinyoung Yoon

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study investigates the physicochemical and mechanical performance of cementitious composites incorporating fluidized bed combustion (FBC) ash under accelerated carbon dioxide (CO₂) curing. FBC ash, due to its high contents of free calcium oxide (CaO) and sulfate (SO₃), has been reported to cause challenges, such as volume instability and lower early-age strength. To address these limitations, CO2 curing was applied to promote accelerated carbonation and stabilize the hydration products. Cement paste and mortar samples, made with up to 40 % by cement weight replacement with FBC ash (labelled CF), were subjected to either CO₂ curing …

Understanding Higher-Order Motion Terms In Image Sequences, Fisseha Admasu Ferede

Electronic Theses and Dissertations Archive

This dissertation presents a comprehensive framework for learning accurate, and physically meaningful representation of motion from image sequences. The central theme of this work lies in advancing optical flow estimation from discrete-time two-frame formulation toward a continuous time multi-frame model capable of learning higher-order motion terms and dynamics, with wide ranging applications including developing structural disease biomarkers from medical images. We first develop SSTM (Spatiotemporal Recurrent Transformer for Multi-Frame Optical Flow Estimation), a deep learning model that leverages a sequence of multi-frames to infer accurate optical flow by learning temporal dependencies across successive motion cues. The architecture integrates recurrent 3D …

Effect Of Microwave Treatment On Structure , Physicochemical Properties , And Digestibility Of Oat Starch, Sun Huijun, Xu Yixuan, Wang Jiameng, Zhou Yibin, Yu Zhenyu

Food and Machinery

[Objective] To investigate the effect of microwave treatment on the structure, physicochemical, and digestibility of oat starch. [Methods] Oat starch (OAT) is taken as the research object to analyze the effects of different microwave treatment times on the particle size distribution, microstructure, crystalline structure, short-range ordered structure, thermodynamics, rheology, and digestibility of OAT. [Results] With the prolongation of microwave treatment time, OAT granules are expanded, and the particle size is significantly increased. Additionally, the crystallinity is decreased from 12.32% to 5.33%, the infrared absorption ratio R1 047 cm-1/1 022 cm-1 is decreased from 0.73 to 0.62, and the half width …

Path Planning Method For Robots In The Ground-Pot Areas Of Fermentation Workshops, Guo Shoujie, Tian Jianyan, Cheng Long, Wang Sugang

Food and Machinery

[Objective] To address the path planning challenges for robots in the ground-pot areas of light-flavor Baijiu fermentation workshops. [Methods] A robotic path planning method, named C-EAFO-YBWC, is proposed. First, gamma correction and unsharp masking are used to enhance image quality, combined with the adaptive FAST threshold to improve ORB feature point extraction, ensuring the localization accuracy of the ORB-SLAM 2 algorithm under complex lighting. Second, BiFPN and Coordinate Attention (CA) mechanisms are integrated into YOLOv 10n and optimized with WIoU to detect fermentation pots and generate path points. Finally, by combining robot self-localization and ground-pot detection, the path points are …

Design And Application Of An Online Evaluation System For Blueberry Quality Based On Spectral Image Fusion Technology, Xun Shihu, Xian Jiawei, Wang Weina, Shi Linying, Chen Qiuxi, Fan Wei

Food and Machinery

[Objective] To achieve precise non-destructive detection and sorting of blueberry quality. [Methods] An online evaluation system for blueberry quality based on near-infrared spectroscopy and visible light image fusion is designed.The system consists of a fruit box chain conveyor module, a linear array image detection module, a near-infrared spectroscopy detection module, and a control system. A diffuse reflection optical path is designed by the near-infrared spectroscopy detection module, and a partial least squares regression model is established to predict the soluble solids content in blueberries through S-G convolution smoothing, second-order derivative connection preprocessing, and sequential projection algorithm for feature variable extraction. …

Quality Inspection Method For Tomato Processing Production Line Based On Improved Lssvm And Yolov 12, Liu Jun, Cao Xiaoping, Wang Ruiqin, Li Min

Food and Machinery

[Objective] To improve the accuracy and efficiency of tomato quality inspection in automated production lines, and solve the problems of traditional inspection, such as reliance on manual labor, low precision, and poor efficiency. [Methods] Based on the quality inspection system of the tomato automated production line, an integrated internal and external quality inspection system is developed by combining hyperspectral imaging and machine vision technologies. After preprocessing the hyperspectral detection data, an improved least squares support vector machine (LSSVM) model is employed to detect the soluble solids content and hardness of tomatoes, thereby completing internal quality inspection. For external quality inspection, …

Shelf-Life Prediction Of Oil-Preserved Meat Based On Volatile Basic Nitrogen, He Li, Dan Li, Diao Shangpeng, Xing Yage, Yang Lulin, Liu Aiming

Food and Machinery

[Objective] To establish a shelf-life prediction model for oil-preserved meat based on total volatile basic nitrogen (TVB-N). [Methods] Under the storage conditions of 4, 25, and 37 ℃, changes in the following parameters of oil-preserved meat are determined: water activity, pH value, TVB-N value, thiobarbituric acid (TBARS value), peroxide value (POV value), and sensory quality. A comprehensive analysis is conducted using the first-order kinetic model and the Arrhenius equation. [Results] Storage temperature significantly affects the quality deterioration rate of oil-preserved meat. The TVB-N value is closely correlated with storage time (R2=0.992) and is therefore selected as the key indicator to …