Digital Commons Network^™

Effect Of Myrcene On Quality Of Sea Cucumbers During Keeping Alive With Water, Mi Hongbo, Feng Mengmeng, Chen Jingxin, Liu Chao, Li Jianrong, Li Xuepeng

Food and Machinery

[Objective] To investigate the optimal concentration of myrcene and prolong the time of keeping sea cucumbers alive with low-temperature and water. [Methods] The effect of of myrcene concentrations (0, 10, 20, 30, 40, 50 µL/L) on the pH, hardness and soluble protein content of sea cucumbers during keeping alive with water is analyzed. The changes in sensory scores, body wall moisture status and distribution, and microstructure of sea cucumbers before and after keeping alive are compared. The effect of myrcene with the optimal concentration on the immune and antioxidant enzyme activities of sea cucumbers during keeping alive [Results] As the …

Effects Of Electron Beam Irradiation On Physicochemical Properties And Edible Quality Of Guangxi Fragrant Rice, Chen Xiuxia, Zhang Bin

Food and Machinery

[Objective] To investigate the effect of electron beam irradiation (EBI) on the storage quality of high-moisture Guangxi fragrant rice. [Methods] High-moisture fragrant rice is subjected to electron beam irradiation in varying doses (1 to 5 kGy). Then, changes in its physicochemical properties and edible quality are studied during storage. [Results] After low-dose EBI treatment, no significant change is observed in the moisture content of the fragrant rice. During storage, the growth rates of lipase activity and fatty acid value decrease in the irradiated fragrant rice, with inhibited microbial proliferation. Compared with non-irradiated fragrant rice, the irradiated fragrant rice exhibits slowly …

Effects Of Different Sterilization Methods On The Physicochemical Properties And Volatile Compounds Of Pomegranate Juice, Gu Junhua, Xing Xiaoke

Food and Machinery

[Objective] This study aims to evaluate the effects of different sterilization methods on the physicochemical properties, phenolic compounds, and aroma components of pomegranate juice, providing a scientific basis for selecting sterilization techniques in pomegranate juice processing. [Methods] 'Tunisia' soft-seed pomegranate juice is subjected to pasteurization (PS), ultrasound (US), high-pressure processing (HPP), and microwave sterilization (MS), respectively. Physicochemical properties and volatile compound content are determined. [Results] HPP demonstrates superior performance in preserving pomegranate juice quality compared to other treatments. PS treatment significantly reduces the redness value from 16.82 to 12.37 and results in the highest total color difference of 4.82, indicating …

Application Of Stable High Internal Phase Emulsions Based On Wheat Bran Water Extract In Cakes, Zhang Jing, Wang Lifeng, Xiong Wenfei, Ye Xinwei

Food and Machinery

[Objective] To investigate the application of high internal phase emulsions (HIPEs) stabilized by wheat bran water extract as a butter substitute in cakes. [Methods] Cakes were prepared by substituting butter with HIPEs stabilized by wheat bran water extract at different ratios, with a pure soybean oil group used as the control. The viscosity, relative density, and microstructure of the cake batter were systematically measured, and the textural properties, moisture distribution, color, X-ray diffraction (XRD) patterns, and flavor profiles of the cakes were comprehensively analyzed. [Results] With increasing substitution ratios of HIPEs, the a* value of the cakes increased while the …

Extraction Process Optimization And Antioxidant Activity Of Total Flavonoids From Pomelo Peel By Natural Deep Eutectic Solvents Combined With Microwaves, Xie Wen, Zhang Shuo, Wang Fang, Huang Xinyi

Food and Machinery

[Objective] To optimize the extraction process of total flavonoids from pomelo peel by natural deep eutectic solvents (NADES) combined with microwaves. [Methods] The extraction ability of flavonoids from pomelo peel is analyzed among three NADES and conventional extractants combined with microwaves. Additionally, the extraction process is optimized by response surface experiment, and the antioxidant activity of the extracts is evaluated. [Results] The optimal total flavonoid extraction rate is 2.20 percent at a liquid-solid ratio of 23∶1 (mL/g), a water content of 29%, an extraction temperature of 73 ℃, and a microwave time of 40 seconds. Under these conditions, the DPPH …

Research Progress In Regulating The Egg White Emulsification Properties By Structured Modification, Yang Fanghan, Ai Minmin, Wang Ziyuan, Guo Shanguang, Xiao Nan

Food and Machinery

Egg white, valued for its high protein content and superior food functional properties, is widely utilized in food processing. The amphiphilic structure and surface activity of egg white proteins enable effective adsorption at oil-water interfaces, reducing interfacial tension and forming stable interfacial films. Therefore, egg white proteins exhibit a robust interfacial regulation capacity in emulsion systems. This review systematically outlines the characteristics and formation mechanisms of multi-scale emulsion systems of egg white proteins (nano-emulsions, Pickering emulsions, and high internal phase Pickering emulsions). Additionally, a summary is presented of the research progress on the chemical/physical modification mechanisms of egg white emulsification …

Properties And Research Progress Of Deacetylated Konjac Glucomannan In Food Applications, Liu Kai, Zhang Ling, Wang Jing

Food and Machinery

Konjac glucomannan (KGM) is a natural soluble dietary fiber that is safe, biodegradable, and edible, with wide application in food and biomedicine. However, due to low plasticity and stability, KGM usually requires blending, physical, and chemical modification for production. Currently, deacetylated konjac glucan (DKGM) is used in food mainly as a food additive, food preservative, and health food. This review elucidates the KGM property changes before and after different deacetylation degrees, as well as the application progress and research status of DKGM in the food industry, with prospects for its development trends.

Construction Of Sulfur Dioxide Fluorescent Probe And Its Application Progress In Food, Pharmaceuticals, And Biological Systems, Xiao Zhongshan, Yang Guojing, Gao Ha, Wang Tianlin

Food and Machinery

Sulfur dioxide (SO2) and its derivatives (SO2-3 and HSO-3) are ubiquitous in the environment and our daily life, closely related to human life activities. As an important additive, SO2 serves functions including bleaching, sterilization, anti-corrosion, color protection, antioxidant, and others during the processing and storage of food and pharmaceuticals. Additionally, SO2 can regulate the antioxidant enzyme system in human cells, increasing resistance against oxidative stress damage. However, excessive SO2 in the human body can strongly stimulate the digestive tract, causing nausea, vomiting, and abdominal pain, and may trigger allergic reactions including asthma and headaches. Furthermore, long-term intake can damage digestive …

A Hybrid Xfem-Ml Framework For High-Fidelity, Rapid Fracture Prediction In Cortical Bone: From Microstructure To Clinical Translation, Noor T. Al-Sharify, Ammar Fadhil Hussein Al-Maliki, Ahmed Ali Farhan Ogaili, Abdul-Rasool Kareem Jweri, Alaa Abdulhady Jaber, Luttfi A. Al-Haddad

Mesopotamian Journal of Computer Science

This paper proposes a hybrid computational model, which combines the eXtended Finite Element Method (XFEM) with machine learning (ML) to forecast the fracture behavior of cortical bone while maintaining microstructural fidelity. It has created a parametric dataset of about 450 three-dimensional XFEM models of single-edge notched bend (SENB) specimens, including important μ-structure features (e.g., osteon orientation, cement line properties, interfacial connectivity, etc.). Based on these simulations, 47 quantitative descriptors were obtained, and these were used to model supervised ML models, namely, Random Forest and Artificial Neural Networks, to estimate fracture load. The Random Forest model demonstrated exceptional predictive performance (R …

Fulbright Us Scholar Alumni Panel, Bridgit Luján, Julianne Newmark, José Cerrato, Ronda Brulotte, John Phillips

LAII Events

The Fulbright U.S. Scholar Program offers more than 300 awards worldwide (ranging from 2-12 months) for U.S. citizens to teach, conduct research, and carry out professional projects around the world. College and university faculty, postdoctoral scholars, research and development professionals, as well as artists and professional practitioners from a wide range of fields can join nearly 450,000 Fulbrighters who have come away with enhanced skills, new connections, and greater mutual understanding. At this info session, you will hear from UNM Fulbright US Scholar alumni, who will share their experiences and advice.

Panelists at this event include:

Bridgit Luján | Honors …

The Expanding Digital Border: Ai, Surveillance, And The Fight For Justice, James Chesser

Immigration and Human Rights Law Review

As artificial intelligence transforms the mechanisms of immigration control, the modern border has become a digital filter—one governed less by geography and more by code. This Article examines the legal, technical, and ethical implications of AI-driven systems now central to global border enforcement, including biometric surveillance, algorithmic risk scoring, and predictive profiling. It explores how states use these technologies not only to manage irregular migration, but to compete for global talent—constructing migration regimes that reward capital and compliance while eroding transparency, due process, and equality.

Through an international and comparative lens, the piece highlights the expansion of algorithmic decision-making across …

Review Of Christian Conversion And Mission: A Brief Cultural History. By Andrew F. Walls., Misael Cornelio

Spiritus: ORU Journal of Theology

A review of Christian Conversion and Mission: A Brief Cultural History. By Andrew F. Walls.

Front Matter, Spiritus Editors

Spiritus: ORU Journal of Theology

No abstract provided.

Spiritus 11, No. 1 (2026), Spiritus Editors

Spiritus: ORU Journal of Theology

This is the full Spring issue of Spiritus: ORU Journal of Theology 11, no. 1 (2026).

Exploring Scms And Fibers For Structural Build-Up In 3d Printing Using Penetration Test, Shiva Kumar Goud Kasani

Miners Solving for Tomorrow Research Conference

Additive manufacturing with cementitious materials advances rapidly, but predicting structural build-up is critical for 3D printed structure buildability. Various supplementary cementitious materials (SCMs) and fibers are commonly used to enhance structural build-up in 3D printing. Evaluating their effects is necessary for successful printing. In this research, this effect is studied for common SCMs, including fly ash and silica fume, and fibers including polypropylene (0.375% and 0.75% by volume), steel (0.75% and 1.5% by volume), and hemp fibers (0.375% and 0.75% by volume). The Structural build-up was quantified through continuous static yield stress measurements (via vane rheometer, penetration, and slump) during …

Synthesis And Hydrothermal Evaluation Of Poly(Styrene Phosphonate) For Conformance Control In Geothermal Reservoirs, Sara Mccauley

Miners Solving for Tomorrow Research Conference

As atmospheric carbon dioxide levels continue to rise, geothermal energy has emerged as a promising energy alternative to fossil fuels. A barrier to widespread implementation and energy production efficiency is macro-heterogeneity of the rock matrix. Cracks, void spaces, and flow conduits divert fluid flow away from unswept portions of the geothermal reservoir and can cause cooling of the reservoir. Flow heterogeneity has been treated in oil reservoirs by injecting hydrogel particles that travel preferentially to ultra-high permeability zones and selectively block fluid flow in these regions. We are applying polymer hydrogels that withstand hydrothermal conditions of 225 up to 275°C …

Adaptive Parallel Downloader For Large Genomic Datasets, Rasman Mubtasim Swargo

Miners Solving for Tomorrow Research Conference

Modern next-generation sequencing (NGS) projects routinely generate terabytes of data that researchers download from public repositories such as SRA and ENA. Existing download tools typically employ static concurrency settings, leading to inefficient bandwidth utilization and prolonged download times under dynamic network conditions. We introduce FastBioDL, a parallel downloader for large biological datasets with an adaptive concurrency controller. FastBioDL frames downloading as an online optimization problem, using a utility function and gradient descent to adjust the number of concurrent socket streams during runtime. This approach maximizes throughput while minimizing resource overhead. Evaluations on public genomic datasets show that FastBioDL achieves up …

Dos Cuentos, Amarys Sofia Ruiz Chávez

Cuaderna Vía

No abstract provided.

Full Issue, The Cuaderna Vía Editors

Cuaderna Vía

No abstract provided.

Using The Second-Generation Environmental Sample Processor To Provide Near Real-Time Observations Of Harmful Algae And Assess Biodiversity And Ecosystem Change, Stephanie K. Moore, Nicolaus G. Adams, John B. Mickett, Christina M. Mikulski, Nicolas Michel-Hart, James M. Birch, Brent Roman, Jan A. Newton

Benefits of Ocean Observing Catalog (BOOC)

The second-generation Environmental Sample Processor (2G-ESP) is a sophisticated autonomous sensor platform and a key component of offshore observing efforts designed to mitigate the societal impacts of harmful algal blooms (HABs) in the Pacific Northwest. Deployed as part of a moored observatory, the 2G-ESP generates near real-time data on HAB organisms and the biotoxin domoic acid, providing critical HAB early warning and directly informing HAB forecasts and fisheries management decisions. In addition, the platform’s capacity to archive environmental DNA enables retrospective analyses of biodiversity and ecosystem change. These capabilities facilitate interdisciplinary scientific collaboration and information sharing, ultimately enhancing our collective …

Dispersive Shock And Rogue Waves In Two-Dimensional Quantum Droplets, Farhana Bristy

Miners Solving for Tomorrow Research Conference

Quantum droplets, are liquid type configurations stabilized by the balance between attractive mean-field interactions and repulsive quantum fluctuations. They provide highly flexible platforms for the quantum simulation of hydrodynamic phenomena using ultracold gases. Here, we explore the nonlinear quantum dynamics of two-dimensional quantum droplets under Riemann initial conditions. The steepness of the latter facilitates the emergence of radially symmetric dispersive shock waves (DSWs) when quantum fluctuations dominate. In particular, the ensuing DSWs travel from the potential edges toward the center where they collide and through their interference high amplitude spatially localized rogue wave structures emerge. In contrast, tuning the interactions …

Breath-Based Detection Of Liver Cancer Biomarkers Using An Swcnt-Fet Nanobiosensor: Quantumatk, Mohamed Mohieb Rashdan

Thesis/ Dissertation Defenses

There are still no tests to detect liver cancer in the early stages because it is a slow-growing and invasive type.

This study describes the use of a single-walled carbon nanotube-based field-effect transistor (SWCNT-FET) whose ability to detect hexanal, a volatile organic compound (VOC) found to be elevated in liver cancer, has been demonstrated through direct measurements from exhaled breath. The device is designed using QuantumATK with the semi-empirical Extended Hückel Hamiltonian framework in non-equilibrium Green’s function (NEGF) which shows realistic contact physics by using metallic SWCNT electrodes instead of common metal films. Through the analysis of two zigzag channels …

Challenges And Best Practices Of Regional Innovation Ecosystems, Mahnaz Asgari Sooran

Miners Solving for Tomorrow Research Conference

Many places around the world are developing regional innovation ecosystems to spur regional economic. Many innovation ecosystems fail or barely maintain their initial momentum after a few years. In this paper, we identified challenges and best practices facing innovation ecosystems interviews with the innovation ecosystem stakeholders. We employed the MIT REAP (Regional Entrepreneurship Acceleration Program) model to categorize the five main stakeholders of the innovation ecosystem: entrepreneurs, universities, industry, risk capital, and government. Our initial results indicated the following: (a) Access to capital and talented workforce; (b) Stakeholder discovery process is one of the critical areas to understand the basic …

Simulating Thermal Diffusion Through Image-Derived Microstructures Of Ceramic Matrix Composites, Matik Heskin

Miners Solving for Tomorrow Research Conference

Thermal energy transport in materials can be effectively modeled using finite element software such as COMSOL. Experimentally measured or NIST–JANAF thermal conductivity data can be used to represent material behavior within these simulations. For heterogeneous or composite materials, effective properties are often approximated using rule-of-mixtures calculations. However, this overlooks the nuanced effects caused by complex microstructural geometry. To address this limitation, imaging and coding tools such as MATLAB can be used to process scanning electron microscopy (SEM) images. By thresholding the images to distinguish constituent materials, a representative mesh can be generated and imported into an FEM program. This approach …

Distributed Control Plane For Cross-Silo Federated Learning, Rabin Pandey

Miners Solving for Tomorrow Research Conference

Cross-silo federated learning (FL) trains shared models across geographically distributed institutions without centralizing raw data, but its reliance on wide-area networks makes round completion time highly sensitive to heterogeneous link conditions, congestion, and straggler clients. Existing SDN-based FL frameworks address this through centralized traffic engineering, an approach that breaks down when silos span independent administrative domains where no single entity can maintain complete, timely network knowledge. We replace the centralized control plane with a fully distributed overlay in which each silo gateway operates as an equal peer, continuously probing local links, exchanging EWMA-smoothed metrics via bounded gossip, and computing least-cost …

Transition Metal Chalcogenide As Multifunctional Biosenser To Detect Neurochemicals, Amitav Sen

Miners Solving for Tomorrow Research Conference

The development of highly sensitive real-time sensing platforms for selectively detecting dopamine (DA) and norepinephrine (NE) is of significant clinical importance since these are closely associated with several neurodegenerative disorders. Herein, we report copper telluride (Cu₂Te) nanostructure as a bifunctional electrocatalyst for the simultaneous detection of dopamine and norepinephrine. Cu₂Te exhibits excellent electrocatalytic activity toward both DA and NE oxidation, as demonstrated by detailed electrochemical measurements. High sensitivities of 24 and 40 µA cm⁻² µM⁻¹ for DA and NE, respectively, were obtained with a wide linear detection range of 10–200 nM and low limit of detection (LOD), 31 nM for …

Human Intention Prediction Using Cnn And Lstm Networks In Physical Human–Robot Interactions, Khosro Ghorbani Zadeh

Miners Solving for Tomorrow Research Conference

Advances in robotics and artificial intelligence have increased expectations for interactive robots in eldercare and assistive applications. A key challenge in creating safe and effective systems is accurately recognizing human intent and translating it into meaningful commands for robots to follow. Traditional physics-based models often fail to fully represent human force interactions due to their dynamic nature, while neural networks provide a promising alternative for predicting force-movement intentions. Multi-layer perceptrons (MLPs) show potential, however, they struggle with temporal dependencies and generalization. Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNNs) help address these limitations. This study compares these architectures …

Toward Sustainable 3d Printable Cementitious Materials: Low-Carbon Design With Fiber Reinforcement, Nima Mahmoudzadeh Vaziri

Miners Solving for Tomorrow Research Conference

3D printing of cementitious materials, as an emerging construction technology, faces challenges in both mechanical performance and sustainability. Conventional mixture designs rely on high cement contents, leading to increased CO2 emissions, while printed elements often exhibit brittle behavior with limited crack resistance and reduced post-cracking performance. This study investigates the development of low-carbon 3D printed cementitious composites using environmentally friendly supplementary cementitious materials (SCMs) and fillers, combined with fiber reinforcement to enhance mechanical performance. Locally available SCMs and fillers were incorporated to significantly reduce cement content (>40%) and improve sustainability. Fiber reinforcement was introduced to mitigate brittleness and enhance …

Ai-Driven Frameworks For Mitigating Rockfall Hazards, Unstable Ground Condition And Improving Safety In Underground Mine Through Thermal Imaging, Akhrorbek Narmatov

Miners Solving for Tomorrow Research Conference

Scaling, the removal of loose rocks from excavation walls to prevent rockfalls is a critical safety procedure in underground mining operations. Approximately a quarter of fatal mining accidents are due to rockfalls. Detecting unstable rocks during scaling and assessing ground stability remain challenging due to limited visibility, dust, and environmental conditions.

Excavation disturbs the in-situ stress state, causing stress redistribution, fracture propagation, and the formation of discontinuities that lead to loose rock blocks. Ventilation airflow affects heat transfer at exposed surfaces, amplifying temperature contrasts between intact rock and fractured blocks associated with instability.

Current practices rely on manual inspection, requiring …

Robust Federated Learning With Strategic Adversaries, Manoj Twarakavi

Miners Solving for Tomorrow Research Conference

Federated Learning (FL) leverages the intelligence of untrusted distributed devices through collaborative training. This makes the training process susceptible to malicious behavior. Existing defense mechanisms largely consider an adversary who attacks a proactive FL server without any adaptability. However, they overlook the presence of a strategic adversary. To address this challenge, our work proposes a Robust Game-theoretic framework where the adversary is both strategic and is equipped with the capability of performing large-scale poisoning attacks.