Digital Commons Network^™

Intelligent Quality Detection Method For Salted Duck Eggs Based On Improved Plsr And Pp-Yoloe, Pang Min, Liu Shuwan, Ma Yanbo, Zheng Chao

Food and Machinery

[Objective] To address issues such as the difficulty in accurate internal indicator quantification, the missed detection of external defects, and fragmented testing methods in the quality inspection of pickled products (taking duck eggs as an example), thereby enhancing the accuracy, efficiency, and intelligence of comprehensive food quality inspection in automatic production. [Methods] A comprehensive quality inspection method for pickled products is constructed based on an automatic food quality inspection system, which integrates deep learning, machine learning, and multiple detection technologies (hyperspectral technology + machine vision technology). Specifically, hyperspectral imaging technology is used to collect internal optical characteristic data of pickled …

Time-Optimal Trajectory Planning For Food Sorting Robots Based On An Improved Beaver Algorithm, Wang Yahui, Zhang Guowei, Ma Qian, Huang Lifang

Food and Machinery

[Objective] To enhance the operational stability of food sorting robots and the efficiency of time-optimal trajectory planning. [Methods] A time-optimal trajectory planning method for food sorting robots based on an improved beaver algorithm (BA) is proposed. First, with the six-degree-of-freedom robotic arm of the sorting robot as the research object, a time-optimal constrained optimization model based on 4-5-4 polynomial interpolation is established. Secondly, the BA is improved by introducing adaptive beaver species classification, population spatial directional evolution, and global jump strategy, effectively balancing the global exploration breadth and local search fineness of the algorithm. The improved BA is then applied …

Non-Destructive Testing Of Kiwifruit Storage Quality Integrating Wsn And Hho-Delm, Cao Huajuan, Liu Nanshan, Zhao Quan

Food and Machinery

[Objective] To achieve real-time, non-destructive, and high-precision monitoring of multiple quality indicators of kiwifruit during storage and to address the problems of strong destructiveness, obvious lag, and the difficulty of a single data source and model to balance comprehensiveness and accuracy in conventional detection methods, a kiwifruit quality testing method integrating wireless sensor network (WSN), hyperspectral imaging, and Harris hawk optimization (HHO)-optimized deep extreme learning machine (DELM) is proposed. [Methods] Firstly, a WSN and hyperspectral imaging collaborative acquisition system is established to obtain kiwifruit storage environment parameters (temperature and humidity), fruit surface sensing data (firmness and skin color), and hyperspectral …

Optimization Of Extraction Process Of Suopiyin And Its Antioxidant And Hypoglycemic Activities In Vitro And In Vivo, Li Yaqing, Chu Xiaoqin, Cui Mengyao, Li Jing, Jia Nini, Jiang Dayuan

Food and Machinery

[Objective] Based on classical prescriptions of Xin'an Medicine, a functional food was developed to help exert antioxidant effects and maintain healthy blood glucose levels. [Methods] Based on the results of single-factor experiments, an orthogonal design was applied to optimize three factors in the extraction process, namely the solid-liquid ratio, extraction time, and number of extraction cycles. The extraction yields of total polysaccharides and total flavonoids were used as evaluation indices to determine the optimal extraction process. The in vitro antioxidant activity of Suopiyin was evaluated using the scavenging rates of DPPH, ABTS, and hydroxyl (·OH) radicals. The in vitro hypoglycemic …

Effect Of Pepsin Limited Enzymatic Hydrolysis From Wheat Bran Protein On Lipid Lowering In Vitro, Zheng Wenjing, Bai Yang, Liu Cong, Jiri Gala, Wang Jilite, Zhang Yanxia, Li Yuxin

Food and Machinery

[Objective] To elucidate the lipid-lowering effect of wheat bran protein from the Hetao region and provide a scientific basis for its deep processing and high-value utilization. [Methods] This paper employs wheat bran protein from the Hetao region as the raw material to prepare pepsin limited enzymatic hydrolysates (P1, P3, P6, and P 12), and investigates their effect on lowering lipid. [Results] Different enzymatic hydrolysates vary in vitro lipid-lowering effects, and the higher mass concentration of samples means a better effect. The cholesterol micelle solubility inhibition rate of 5 mg/mL wheat bran enzymatic hydrolysate P 1 is (45.47±0.36) %, significantly higher …

Effects Of Permeation Treatment On Textural Quality Of Malus Doumeri (Bois) Chev . Fruit Chips Dried By Vacuum Microwave, Liu Yan, Meng Yanmei, Tang Xiaoxian, Zhang Qiao, Ren Aiqing, Duan Zhenhua

Food and Machinery

[Objective] To explore the effects of permeation conditions with sucrose solution on the textural quality of Malus doumeri (Bois) Chev. fruit chips dried by vacuum microwave. [Methods] Fresh M.doumeri fruit chips are subjected to permeation treatment with permeating agents with different sugar content (20, 35, and 50 °Brix) and at different permeation temperatures (30, 65, and 100 ℃). Then, the pretreated samples are dried by vacuum microwave. The texture quality of dried M.doumeri fruit chips is evaluated regarding the color, texture, expansion rate, apparent density, volume ratio, and pore size distribution. [Results] The M.doumeri fruit chips pretreated by the permeating …

Research Progress On Nutritional Components, Bioactive Properties, And Application Of Chlorella Vulgaris In Food, Xu Bingzheng, Xu Zongxi, Zhang Jian, Liang Rongrong, Liang Yusi

Food and Machinery

Chlorella vulgaris, a green microalga, is widely recognized in the food industry for its outstanding nutritional value. This review systematically summarizes the diverse nutritional components enriched in this microalga, including proteins, lipids, carbohydrates, vitamins, pigments, and minerals, as well as the various bioactivities conferred by these components, such as antioxidant, anti-inflammatory, immunomodulatory, antibacterial and antiviral, anticancer, detoxifying, adjuvant antidiabetic, antihypertensive and antihyperlipidemic, neuroprotective, antidepressant, and prebiotic activities. Additionally, the research progress of C.vulgaris in food applications is elaborated, and the current challenges in its commercialization are discussed, including the technological gap in large-scale production that coordinates nutritional composition and low-cost …

Artificial Meat 3d Printing Technology And Application Progress, Shi Zhongfen, Yang Zishan, Chen Hongyan, Tian Sumei

Food and Machinery

With the global population growth and increasing pressure on resources and the environment, traditional meat production methods face severe challenges. In contrast, artificial meat, a sustainable meat substitute, has received widespread attention in recent years. As an additive manufacturing technology for the precision construction of food structures, food 3D printing technology has shown great application potential in artificial meat. This paper reviews the application progress of food 3D printing technology in artificial meat manufacturing, focusing on artificial meat 3D printing technology based on plant protein and cell culture. Additionally, this paper analyzes the challenges faced by food 3D printing technology …

An Evaluation Of Artificial Intelligence Chatbots As Alternatives To Specialized Software In Teaching Bayesian Pharmacokinetic Analysis, Reza Mehvar

Pharmacy Faculty Articles and Research

Objective

Methods

A Comparative Performance Analysis Of Task Allocation Methods In Uav-Sdn Networks, Yasameen Ali Al Janabi, Ahmed Mhdi Al-Salih

Journal of Intelligent Informatics, Networking, and Cybersecurity

Task allocation is really important for how unmanned aerial vehicle-software-defined networking networks work and how much energy they use. This is especially true when the network is big or small and when things around it change. We looked at three ways to assign tasks: giving them out randomly giving them out in a manner that maintains load balance, and using something called ``particle swarm optimization'' We tried these methods in two situations: when the unmanned aerial vehicle-software-defined networking network is in open space and when it has to deal with obstacles. We used several unmanned aerial vehicles and tasks: 10 …

Hammurabi’S Laws: Ancient Traditions Of Violence, Aaron Secrist

The Confluence

The tradition of enforcing private property through violence is truly ancient, and goes back thousands of years to the first civilizations. There exists a prevailing attitude that contemporary culture is more “civilized” than the first organized societies – and while it’s true in some ways, our laws are still remarkably similar to those practiced in antiquity. In the following essay, I analyze the Law Code of Hammurabi and examine its parallels to the way laws function today. First, I will provide context for the technological advances that made the first city-states possible, then give a cultural and economic overview of …

Modeling Psychological And Demographic Predictors Of Analog Astronaut Mission Participation, Christian Yeara Herrero, Frányerson R. López Ochoa, Mackenzie Thomas, Phoebe Fleshman

Student Research Symposium (SRS)

As plans accelerate to send humans into orbit and to other celestial bodies, whether to lunar outposts, Mars bases, or commercial space stations, it becomes increasingly important to understand how to maintain healthy, cohesive, and productive crews in confined, isolated environments. A practical way to study human adaptation to these conditions is through analog astronaut missions on Earth. Although imperfect, these facilities provide the closest Earth-based simulation of space mission conditions. Currently, over ten analog research centers are operating worldwide, including NASA’s Human Exploration Research Analog (HERA) and the Crew Health and Performance Exploration Analog (CHAPEA) habitats. Selecting and recruiting …

Carving A Niche, Anthony R. Peluso Dds

Virginia Dental Journal

No abstract provided.

2015 Science Talent Awards Program, Brenda J. Young Dds

Virginia Dental Journal

No abstract provided.

How To Respond To A Negative Review, Lance Mccollough

Virginia Dental Journal

No abstract provided.

Dr. Thomas Upshur Turns 100, Stephanie N. Vlahos Dds

Virginia Dental Journal

No abstract provided.

Silver Diamine Fluoride- A New Weapon For Caries Arrest Is Now Fda Approved In Us, Harmeet Kaur Chiang Dds

Virginia Dental Journal

No abstract provided.

An Interview With Dr. Cheryl Billingsley, Cheryl B. Billingsley Dds

Virginia Dental Journal

No abstract provided.

Ada Trustee’S Corner December 2014 Board Meeting, Julian Hal Fair Iii, Dmd

Virginia Dental Journal

No abstract provided.

Va Dent J July, August And September 2015

Virginia Dental Journal

No abstract provided.

Letter To Lloyd And Jean, James D. Spaniolo

Lloyd Clark Papers

Letter to Lloyd and Jean Clark from James D. Spaniolo, President of The University of Texas at Arlington, with a page from an issue featuring UTA, published on Texas Monthly, and a copy of a column published on the Star-Telegram.

Letter To Mark, Lloyd C. Clark

Lloyd Clark Papers

Letter to Mark Permenter, Editor of the UTA Magazine, from Lloyd C. Clark, with a copy of a published feature and copies of pages from the UTA Magazine, with some suggested edits and a completed survey.

Letter To Lloyd And Jean, Gary M. Cole

Lloyd Clark Papers

Letter to Mr. and Mrs. Clark from Gary M. Cole, Vice President for Development at The University of Texas at Arlington, discussing the Taylor Family Scholarship Fund, and an attached reservation form for the new event.

Card To Lloyd And Jean, Gwen Notestine

Lloyd Clark Papers

Card to Lloyd and Jean Clark from Gwen Notestine, Director of Development at The University of Texas at Arlington, thanking them for their support of the university.

Invitation

Lloyd Clark Papers

Invitation card to the 2004 Distinguished Alumni Gala, from the UTA Alumni Association.

Letter And Documents, Tamela Herczeg

Lloyd Clark Papers

Letter to Lloyd and Jean Clark from Tamela Herczeg, Interim Executive Director for Development at The University of Texas at Arlington, with an enclosed draft of the Century II Society Donor List for review.

Letters To James, Lloyd C. Clark

Lloyd Clark Papers

Letters to James D. Spaniolo, President of The University of Texas at Arlington, from Lloyd C. Clark, one regarding the Taylor Family UTA President's Scholarship, and the other complimenting his feature on the UTA Magazine. Attached copy of one of Lloyd C. Clarks columns, published on the Daily News-Sun, and copies of pages from the UTA Magazine, featuring James D. Spaniolo.

Letters, Mark D. Martin

Lloyd Clark Papers

Letter to Lloyd C. Clark from Mark D. Martin, Vice President of Development at The University of Texas at Arlington, regarding a possible future student. Letter to Alice Arnold, from Mark D. Martin, regarding her sons consideration of attending UTA .

Dream-State Consolidation Transformers For Long-Horizon Artificial Intelligence, Johny Manuel-Devadoss, Joanna Johnson, Jayden Jack Johnson

Defensive Publications Series

Contemporary transformer architectures achieve strong performance through large-scale parameterization, retrieval augmentation, and extended context windows. However, persistent token-level retention scales poorly for lifelong or long-horizon cognition due to increasing computational cost, retrieval interference, context fragmentation, and memory saturation. This paper proposes a speculative but computationally grounded framework termed Dream-State Consolidation Transformers (DSCT), in which artificial systems alternate between online inference phases and offline consolidation phases. During online operation, systems process high-resolution episodic information from external environments. During offline consolidation, episodic traces are replayed under stochastic perturbation and compressed into semantically stable latent representations.

Unlike conventional persistent-memory systems, DSCT prioritizes abstraction …

Learning‑Based Framework For Secondary Power Grid Effective Resistance Prediction, Prateek Pendyala, Sandeep Gajbhare

Defensive Publications Series

Secondary power grid resistance verification in integrated circuit design may be hindered by the iterative nature of traditional sign‑off extraction tools. These tools may require compute time for each iteration, creating a bottleneck during the identification of resistance violations in low‑power architectures. A hierarchical machine learning framework is disclosed for the early estimation of effective resistance. In the framework, spatial tile‑based partitioning is combined with adaptive piecewise linear regression to analyze instance‑specific and spatial‑neighborhood attributes. Additionally, resistance is categorized into data‑driven zones, and zone‑specific regressors are employed to provide continuous resistance predictions. For design modifications, an incremental update scheme allows …