Digital Commons Network^™

Research Progress On Functional Characteristics Of Lactic Acid Bacteria In Special Habitats, Huang Wanyan, Bi Xiufang, Ni Chunlei, Hao Gang, Huang Meigui, Tang Shanhu

Food and Machinery

A special habitat refers to the specific environmental conditions or unique geographical locations in which organisms survive,and microorganisms often exhibit specialized functions in such environments.Currently,lactic acid bacteria are mainly used in fermented foods,silage fermentation,intestinal inflammation regulation,and environmental remediation.Special -habitat lactic acid bacteria refer to those that thrive in unconventional environments or are isolated from extreme environmental conditions,playing a significant role in both human and ecosystem.This paper summarizes recent research on the functional characteristics of lactic acid bacteria inhabiting high -altitude,high -cold,high -temperature,and high -salinity environments and explores their application prospects in the development of novel fermented products and the bioremediation …

Progress On Quality Characteristics Of Modified Grain Bran And Its Application In Flour Products, Liu Anqi, Chang Shimin, Li Jingfang, Xu Wentao, Gu Dongyue

Food and Machinery

As a major by -product of grain processing,grain bran is rich in various active components.However,its utilization rate remains relatively low due to its high content of insoluble dietary fiber and poor palatability.This article gives an introduction to common modification methods and reviews their effects on the physicochemical properties,active components,and other quality characteristics of grain bran.It compares the influences of grain bran before and after modification on the properties including flavor,sensory,and texture of flour products.

Optimization Of Aigc-Assisted Food Packaging Design Process Under Systematic Thinking, Tu Zhichu, Li Hongli, Zhuang Li

Food and Machinery

Against the backdrop of the rapid development and extensive application of artificial intelligence generated content (AIGC ),this paper analyzes the current application status of AIGC in food packaging design and sorts out a systematic optimization process for food packaging design to promote the innovation of food packaging design methods.Starting from a systematic thinking perspective,it dissects various links of food packaging design,summarizes the three major application scenarios and five major design sections of AIGC in food packaging design,and builds a model for optimizing the food packaging design process by employing AIGC.Additionally,the rational application of AI technology for transforming design thinking and …

Packaging Defect Detection Method For Boxed Food Production Line Based On Improved Yolov 10, Wang Jinglei, Zhao Yingjie, Li Feng, Wang Chunyu

Food and Machinery

［Objective］ To address the problems of low detection accuracy and poor real -time performance in traditional packaging defect detection methods in food production.［Methods］ Based on the analysis of automated food production lines,an improved YOLOv 10 model was applied for packaging defect detection on boxed food production lines.The convolutional block attention module (CBAM ) was introduced after the C 2f modules in the backbone and neck layers to enhance the model's feature localization ability in complex backgrounds.Full -dimensional dynamic convolution was introduced in the backbone and neck layers to reduce computational redundancy and improve detection accuracy.The P 2 layer was added …

Pattern Extraction And Design Of Museum Cultural And Creative Food Packaging Based On Shape Grammar, Chang Yan, Cong Huan

Food and Machinery

To solve the problem of insufficient coupling between pattern extraction and user needs in the innovative design of museum cultural and creative food packaging,a jade animal pattern extraction and design method is proposed based on shape grammar.The animal shapes of Fuhao jades in Yin Dynasty ruins are classified and analyzed,and the Likert five -point scale is utilized to quantitatively analyze the perceptual image.Representative visual elements are then extracted.The core characteristics and combination rules of the patterns are extracted and deduced by combining shape grammar and then transformed into modern design elements to integrate Yin and Shang culture into cultural and …

Molecular Insights Into The Role Of Estrogen Receptor Beta In Ecdysterone Mediated Anabolic Activity, Syeda Sumayya Tariq, Madiha Sardar, Muhammad Shafiq, Hendrick Heinz, Mohammad Nur-E-Alam, Aftab Ahmad, Zaheer Ul-Haq

Pharmacy Faculty Articles and Research

Ecdysterone, often dubbed a “natural steroid,” has garnered significant attention among athletes for its reputed growth-promoting and anabolic properties. Unlike synthetic anabolic steroids, which are classified as controlled substances, ecdysteroids remain largely unregulated in many countries and are widely marketed as dietary supplements. Notably, ecdysterone has been included in the World Anti-Doping Agency (WADA) monitoring program, highlighting its potential impact on athletic performance and raising questions about its regulation. Emerging evidence indicates that, unlike traditional anabolic steroids that act primarily via the Androgen Receptor (AR), ecdysterone’s anabolic effects may be mediated through Estrogen Receptors (ERs), particularly Estrogen Receptor beta (ERβ). …

Evaluating Safety Assurance Of Ai Classifiers Trained On Systematically Generated Sar Imagery, Branndon Jones

Tennessee State University Alumni Theses and Dissertations

The collection and curation of high-quality data is crucial for developing robust and trustworthy deep learning (DL) models. Due to the costly and time-consuming nature of gathering well-annotated data, researchers have shifted to supplementing network training with synthetic data. However, when solely training AI classifiers with synthetic data, the network performance when exposed to data from real environments may not be satisfactory. To mitigate this shortcoming, a Gen-AI model was developed to systematically generate annotated, context-controlled synthetic imagery datasets using real SAR imagery. Through this process, SAR images of targets of interests are initially semantically segmented and introduced onto the …

Faculty Adoption And Awareness Of Online Education Technologies And 360° Video, Carrie Elizabeth Cook

Tennessee State University Alumni Theses and Dissertations

This study explored faculty perceptions of distance education and the potential integration of immersive 360° video technology in higher education. To understand how faculty use online learning and a specific form of immersive learning, the Technology Acceptance Model (TAM) served as the theoretical foundation for this study. This study employed a descriptive research design to assess faculty attitudes, and surveys conducted with a researcher adapted version of a proven instrument were conducted with Tennessee State University (TSU) faculty. The findings of this study revealed that faculty perceptions of distance education were influenced by concerns about engagement, technological barriers, and comparisons …

Microwave-Assisted Synthesis And Surface Characterization Of Graphene Oxide-Antimony Trioxide Nanocomposites For Ascorbic Acid Electrochemical Sensor, Samir Mallick

Tennessee State University Alumni Theses and Dissertations

The detection and monitoring of Ascorbic Acid (AA) concentration is of crucial importance. Abnormal AA levels in bodily fluids have been reported to cause cancer, cardiovascular diseases, and Alzheimer’s and Parkinson’s diseases. Nanoparticles have played a critical role in developing affordable, sensitive, and selective sensors. This work reports on the electrochemical detection of AA using glassy carbon electrodes (GCEs) modified with microwave-assisted graphene oxide-antimony trioxide nanocomposite and chitosan films. The developed sensor displayed enhanced electron transfer and a better electrocatalytic reaction towards AA compared to other fabricated electrodes. Cyclic voltammetry and chronoamperometry were used for electrochemical measurements. CV and Fourier …

Privacy-Preserving Ai Framework Using He-Fl For Electric Utility Infrastructure Defect Detection, Tupac S. Moseley

Tennessee State University Alumni Theses and Dissertations

In modern times, electric utility companies are utilizing on-ground and aerial drone imagery to identify physical defects on transmission and distribution infrastructure to plan for more effective maintenance. To deploy faster and more cost-efficient maintenance decisions, utility companies are considering developing automation tools powered by AI. However, for AI technology to be effectively trained for real-world implementation, there is a need for cross-collaboration among a vast number of utility companies to share their imagery and analysis to improve the global AI model. The primary challenge of this collaboration comes at the expense of requiring data cleaning, a manual process to …

Automated Task Management In A Cloud-Based Workspace, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

A technique is proposed for automated task management in a cloud-based workspace. Content corresponding to an intended task pertaining to a user is identified from a set of electronic documents associated with the user. A task plan for the intended task is generated based on the set of electronic documents and/or one or more additional electronic documents associated with the intended task. An indication of a sequence of operations of the task plan is provided for presentation via a user interface (UI) of a client device associated with the user. A user-initiated instruction from the client device is received to …

Shaping A Sustainable Future: The Transformative Potential Of Merging Design Thinking With Futures Thinking For Environmental Impact, Christina Fam Neseem, Rehab Elhebary, Salwa Al-Gharibe

Journal of Art, Design and Music

This paper aims to understand how combining Design Thinking with Futures Thinking could foster environmental innovation and assist in developing a sustainable future. When the world faces such serious environmental challenges, the combination of the two methodoloies will be a strategic approach to attaining sustainable results. Consequently, Design Thinking that is mainly focused on human-centered solutions and Futures Thinking that is all about long-term vision when applied together create a solid structure for the present and future environmental challenges. The paper explores the typologies, the main conceptual components, and the methodologies that are associated with both approaches, demonstrating how combined …

Novel Fashion Designs Using Interactive Programming, Manal M.T. Al-Adawy, Salah A. Aly, Islam G. Khalaf, Norhan E. Nagdy

Journal of Art, Design and Music

This research aims to use mathematical equations and interactive programming to create new fashion designs and to measure the extent to which artificial intelligence and, computer programs facilitate the new design and implementation of fashion. To achieve the objectives of the research, certain research tools are built, which are the use of interactive programming such as the Java language to solve mathematical equations that are used in parts of the design, sources of inspiration and colors. The golden ratio method is used to determine the silhouettes used in designs and the use of fashion design programs in drawing designs. The …

Proposing An Integrative Framework For Conducting Empirical Research On Culture-Inspired Product Design, Peter Oluwagbenga Odewole, Michael Abiodun Oyinloye, Johnson Olarinde Oladesu

Journal of Art, Design and Music

In developing African countries, such as Nigeria, the intersection of culture and product design poses a multifaceted challenge that demands comprehensive investigation. The existing body of research needs an integrative framework that adequately addresses the intricate dynamics involved in culture-inclined product design processes within these specific socio-economic and cultural contexts. This deficiency hampers the ability of designers, researchers, and policymakers to develop effective strategies for creating products that resonate with their diverse cultural heritage. Using a qualitative research method based on secondary data, this study develops an integrative framework for conducting empirical research on culture-inspired product design focusing on Nigeria, …

The Impact Of Employing Quantum Art On The Efficiency Of The Ready-Made Garment Industry And Its Application To Football Sportswear, Kholoud Yassin Ali Sabbah, Amr Gamal El-Din Hassouna, Naglaa Mohammed Teama, Kariman Ali Bek Abdelrahman

Journal of Art, Design and Music

This research investigates the potential of quantum art Color Physics to revolutionize the design process of ready-made garment. By examining its application to football sportswear, we aim to evaluate the efficiency gains, innovative design possibilities, and overall impact of this emerging technology on the ready-made garment industry. This is done by studying the analysis of the physical efficiency of a football player when wearing the official uniform of the national team or club he plays for, through devices to measure physical efficiency and modern applications to provide results, heat maps, and data related to the level of efficiency of the …

The Role Of Artificial Intelligence In Optimising Interior Design Outcomes, Asmaa Awad Aly Abo Meddain

Journal of Art, Design and Music

This research explores the transformative role of Artificial Intelligence (AI) in interior design education, focusing on the impact of AI rendering tools on student creativity, learning efficiency, and the development of future-oriented skills. Using a case study methodology, the study evaluates student experiences with three prominent AI rendering platforms. The findings indicate that AI tools significantly enhance students' abilities to visualize, iterate, and experiment with design concepts, leading to improved design outcomes by broadening their creative horizons and expediting the design process. However, challenges related to rendering accuracy and tool usability were identified, highlighting the need for a balanced integration …

A Brief Introduction To Computational Design Terminologies And Concepts, Ahmed Mostafa Mohamed El Shazly, Fatheya Sobhy Matuk, Mona Mahmoud Shams El Din

Journal of Art, Design and Music

Computational design is often presented in purely technical terms without understanding the underlying logic and theory behind the process. Computational design is defined as the application of computational strategies to the design process. While designers traditionally rely on intuition and experience to solve design problems, computational design aims to enhance this process by encoding design decisions using computer language. The goal is not necessarily to document the final result, but rather the steps required to create that result. Computational design draws inspiration from nature's ability to create efficient designs that exhibit complexity, organic forms and natural patterns. It enables designers …

Fostering Collaborative Innovation By Bridging The Engineering-Design Gap In Egypt: Hcd&E Integration And Visionary Design With Ai Integration In Education, Ahmed T.M. Fathy, Salwa El Ghareeb, Yasser Shaban

Journal of Art, Design and Music

This paper addresses a key challenge in Egypt's Educational sector: the mismatch between engineering education and the needs of modern design-focused companies. This gap hinders the development of user-friendly products and the sector's competitiveness. To bridge this divide, the paper proposes collaborative design training for engineers and designers. This paper will equip them with Human-Centered Design and Engineering and VisionaryDriven Design Research skills. By understanding user needs and developing solutions for the future, engineers can create a stronger link between education and industry. The paper will explore specific points to improve collaboration between engineers and designers, the potential of artificial …

Mastering The Phases Of Design Strategy: A Comprehensive Guide To Navigating From Conceptualization To Launch In The Digital Product Life Cycle, Mahmoud Ahmed Gouda Elgazzar, Mina Eshaq Tawfilis Dawood

Journal of Art, Design and Music

The initial phase of the digital product life cycle, known as the introduction stage, is undeniably one of the most crucial and challenging periods. It is characterized by an open-ended design process, where ideas are still being explored and refined. This phase also brings about high levels of uncertainty regarding market acceptance, making it essential for companies to foster innovation and experimentation to find the winning formula. Navigating through this early stage presents significant challenges for businesses as they face various obstacles that can impede their success. One prominent obstacle is limited consumer awareness of the new product or service …

Novel Electrospinning Techniques For Fabricating Scaffolds To Model Intracranial Atherosclerotic Disease In Tissue Engineered Blood Vessel Mimics, Isaac "Squeaky" Buentipo

Master's Theses

Novel Electrospinning Techniques for Fabricating Scaffolds to Model Intracranial

Atherosclerotic Disease in Tissue Engineered Blood Vessel Mimics

Isaac “Squeaky” Buentipo

Dr. Kristen Cardinal’s Tissue Engineering Lab at California Polytechnic State University specializes in fabricating customized vascular models, known as Blood Vessel Mimics (BVMs), for medical device testing. BVMs are simplified in vitro vascular models designed to bridge the gap between bench testing and in vivo evaluation of intravascular medical devices. BVMs are produced by combining a polymer scaffold with human vascular cells. Through novel scaffold fabrication techniques, such as silicone injection molding, silicone dip casting and electrospinning, the capabilities of …

Review Of Steve: A Framework For Ai And Identity Design, Maithili Mishra

Book Reviews

No abstract provided.

Evaluation Of Antibiotic Testing Protocols For Biofilm-Forming Escherichia Coli In A Microfluidic Platform, Caleb R. Telander

Master's Theses

Catheter-associated urinary tract infections remain an ongoing clinical problem due to biofilm persistence and antibiotic resistance. Standard antibiotic susceptibility testing cannot accurately reproduce flow conditions and the spatial complexity of the in vivoenvironment and is thus questionable in relevance to device-related infections. This study examines a microfluidic device designed to simulate physiologically relevant wall shear stress and antibiotic gradients in Escherichia coli biofilms. The polydimethylsiloxane-based system integrates a 16-well culture chamber with a gradient generator. Biofilm growth was observed using fluorescence microscopy of green fluorescent protein-labeled bacteria. Simulations performed using COMSOL Multiphysics software estimated the appropriate range of wall …

Why University Libraries Should Not Overlook Research Staff, Bella Ratmelia

Research Collection Library

In a commentary, the uthor noted that university libraries often overlook research staff due to the transitory nature of these roles. She emphasised that these staff are key drivers of research productivity, bringing specialised skills and adaptability to evolving methodologies. To better support them, the author urged libraries to engage research staff through initiatives like SMU’s workshops co-taught by librarians and researchers and the SMU Researcher Club, which fosters their professional and personal growth while building future collaborations across academia and industry

Microplastic Eaters, Alanna Boze

Bioengineering Senior Theses

This thesis evaluated Alcanivorax Borkumensis’ (A. Borkumensis) ability to degrade polystyrene in a pyruvate-rich environment to determine if the bacteria could degrade the microplastic when grown in pyruvate. The thesis explored the metabolic behavior of A. Borkumensis when pyruvate is used to start the gluconeogenesis pathway, which is the start of the metabolic pathway when degradation occurs. The bacterium was grown in ONR7a medium, that was adjusted to a pH of 8.1, and 1% pyruvate; then it was processed by centrifugation and washing before experimentation began. Trials were conducted to iteratively refine the process and verify trial results. Bacterial growth …

Ai-Based Requirements Analysis Assistant That Applies Explicit Knowledge And Includes Humans In The Loop, Steven Alter

Business Analytics and Information Systems

This exploratory paper builds on the EMMSAD 2024 paper “Could a Large Language Model Contribute Significantly to Requirements Analysis?” Eight versions of each of three LLM prompts (for system structure, analysis, and recommendations) were applied to three 3000+ word case studies. Those versions expressed different “treatments” including a control with no RAG augmentation, a version with RAG augmentation based on an analysis template used by MBA and EMBA students, and six other versions based on theoretical approaches such as activity theory, a BPM design space, work system principles, and so on. The LLM responses were somewhat reliable for summarizing system …

Efficacy Of Monophasic And Biphasic Pulsed Field Ablation Waveforms: A Model Study, Natalia Dekock

Master's Theses

Cardiac arrhythmias are conditions where the heart’s normal sinus rhythm is interrupted by accelerated or premature rhythms. The most prevalent of these rhythms is atrial fibrillation (AF), where disorganized impulses cause the atria to quiver and pump blood inefficiently. As of 2025, AF affects over 10 million people. Aside from invasive surgical treatments, antiarrhythmic drugs, or one time cardioversions, atrial fibrillation is treated with catheter ablation. The longstanding ablation solutions for AF have been the cryoballoon or radiofrequency catheter ablation. However, limitations for these two ablation modalities are due to the nature of cell destruction; both thermal methods pose a …

Effect Of Foot Strike Pattern On Joint Kinetics On A Downhill Slope, Evan Manley

Master's Theses

With recent increases in participation in outdoor running events, there is a need for research in downhill gait biomechanics. One change that could impact joint loading is foot strike pattern. Foot strike patterns have been categorized into rearfoot-strike (RFS), midfoot-strike (MFS), and forefoot-strike (FFS) [1]. While 75-99% of distance runners naturally RFS on level surfaces, they tend to move towards FFS when it is necessary to reduce vertical loading conditions at the knee [1]. The purpose of this study was to examine differences in peak vertical knee and ankle forces, knee moment, and ankle power, as well as cumulative force …

Balance Assessment Of Disc Golf Players By A Smartphone, Joshua Paul Kannankunni

Master's Theses

Disc golf is an underrepresented sport in biomechanics research, even though it could have effects on gait and balance. Forward and side lunges performed while throwing discs can improve static and dynamic balance. The purpose of this study was to explore the effects of playing disc golf on various static and dynamic balance metrics. Static and dynamic balance experiments were done on 20 disc golf players and 20 control participants to record their RMS of acceleration during the double leg, tandem, and single leg static poses, as well as their gait speed, cadence, stride length, right step length, left step …

Accelerating Llm Inference With Smart Nic Tokenization And Caching, Sudarshan Mehta

Computer Science and Engineering Master's Theses

Tokenization is a critical preprocessing step in machine learning pipelines, particularly for generative AI models such as large language models (LLMs). Despite significant advances in training and inference technologies, tokenization continues to be a notable performance bottleneck due to its CPU-bound nature and limited acceleration support. This thesis proposes NetTokenizer, a system designed to offload tokenization from CPUs to network data planes. Utilizing software frameworks such as the Data Plane Development Kit (DPDK) and hardware-based SmartNIC solutions, NetTokenizer substantially improves inference efficiency. Experimental evaluations demonstrate up to a 95.9% reduction in tail latency and a 5.73x throughput increase compared to …

Icipe Monthly Digest – Volume 1, Issue 6, June 2025, International Centre Of Insect Physiology And Ecology (Icipe)

icipe Newsletters

No abstract provided.