Digital Commons Network^™

Preparation Of Porous Purple Clay Ceramic Balls And Their Application In The Aging Of Fuyuxiangxing Baijiu, Xu Haifeng, Yao Maojun, Liang Chaoyu, Jin Xiqing, Yu Ji

Food and Machinery

[Objective] To investigate the effect of porous purple clay ceramic materials on the aging quality of Fuyuxiangxing Baijiu, thereby optimizing the aging process. [Methods] Porous purple clay ceramic balls are prepared and characterized using field emission scanning electron microscopy (FESEM) and a surface area estimation model. Then, a single-factor experiment is designed to quantitatively analyze 23 main volatile flavor substances via gas chromatography. Combining physicochemical properties with sensory evaluation, the effect of temperature, the addition amount of porous purple clay ceramic balls, and treatment time on the quality of the Baijiu is studied. [Results] Porous purple clay ceramic balls possess …

Research Progress In Detection Methods Of Lysinoalanine, Xia Yimiao, Chen Qumei, Chen Fusheng, Luo Shuangqun

Food and Machinery

Lysinoalanine (LAL) is a cross-linked amino acid formed through the addition of lysine and dehydroalanine. High-protein foods are prone to forming LAL during food processing (such as alkaline treatment, heat treatment). LAL may induce nephrotoxicity, affect human digestive function, and can also reduce the content of essential amino acids in food, reducing the nutritional value of food. Currently, LAL quantification primarily relies on liquid chromatography (LC) and liquid chromatography-mass spectrometry (LC-MS) methods. This study reviews and discusses the detection methods of LAL from three aspects: pretreatment, derivatization, and instrumental detection, aiming to provide insights for developing high-sensitivity, more accurate, and …

Multi-Objective Optimization Of Food Sorting Robot Trajectory Based On Improved Uniform B-Spline, Liu Min, Wu Pengfei, Wang Xiao

Food and Machinery

[Objective] Aiming at the limitations of low operating efficiency, high energy consumption, and poor stability in traditional trajectory planning of Delta robots during food sorting, this study proposes an optimized trajectory scheme to effectively reduce operation time, lower energy consumption, and improve operation stability. [Methods] On the basis of the architecture of the food sorting system, a trajectory optimization method for the Delta robot is proposed, which combines quintic uniform B-spline curves with multi-objective optimization. Firstly, the trajectory is planned using quintic uniform B-spline curves to minimize motion impact. Subsequently, a multi-objective optimization model integrating time, energy consumption and stability …

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 …

Effect Of Vacuum High Pressure Pulsation Technology On Pickling Speed And Quality Of Salted Duck Eggs, Geng Yahui, Miao Huan, Hou Liyuan, Liu Xinhan, Zou Yanzi, Zhang Weipeng, Ju Haoyu

Food and Machinery

[Objective] This study aims to enhance the pickling speed and quality of salted duck eggs. [Methods] The vacuum high pressure pulsation technology is applied to salted duck eggs pickling. The effects of various parameters, including pickling duration, high pressure amplitude, vacuum holding time, and high pressure holding time on the salt content in duck eggs, yolk index, and yolk oiling rate are investigated by comparing with normal pressure soaking pickling (control group). [Results] Under a vacuum of 90 kPa and saturated brine conditions (NaCl mass fraction ≥25%), the optimal process involves a high-pressure amplitude at 110 kPa, a pulsation ratio …

Opportunities And Barriers For Innovation At The Interface Of Engineering And Maternal-Fetal Medicine, Thomas S Howlett, Jacqueline G Parchem, Kelsey L Swingle

Faculty, Staff and Student Publications

The development of safe and effective maternal-fetal therapeutics is significantly hindered by chronic underfunding, inequitable access to specialized care, and persistent sociopolitical stigmas surrounding women’s health. Addressing these challenges will require interdisciplinary collaboration between clinicians, scientists, and engineers to design accessible therapeutics for maternal-fetal healthcare.

Re: Comment Letter For Butte Priority Soils Operable Unit Draft Leak Detection Monitoring Plan (Dated February 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Platform For Acquiring And Classifying Low-Noise Electrocardiogram Signals For Applications In Cardiovascular Monitoring, Begmamat Berdimurodovich Dushanov, Narzullo Mamatov Dr.

Technical science and innovation

The early screening and continuous monitoring of cardiovascular diseases need effective acquisition and smart processing of electrocardiogram (ECG) signals. In this article, we introduce a compact platform designed for the acquisition of low-noise ECG signals and classification of the signals using a one-dimensional convolutional neural network (1D-CNN). Our compact platform consists of a low-noise analog front-end (AFE), including an instrumentation amplifier and a chain of analog filters, along with a data acquisition component designed to ensure effective suppression of baseline wander and high frequencies. Our compact platform consumes a low amount of power and can therefore be used for continuous …

The Philosopher Of The Future: What Is It To Us That Herr Nietzsche Has Become Well Again?, Erli Mertika

USF Tampa Graduate Theses and Dissertations

This dissertation argues that Nietzsche thought he was a genuine philosopher despite seeming at times to suggest that he was not. I arrive at this conclusion by comparing his thoughts on genuine philosophers with his thoughts about himself in an effort to show that his self-professed task is identical to theirs.

There are two types of genuine philosophers in Nietzsche’s late works: an old species that relied on a belief in “God” to legislate their values, and a new one that must do so without it. The former cannot perform their task after the death of God, which is why …

Entrepreneurial Orientation And Performance Of Microfinance Cooperatives: Evidence From Tanzania, Grace Thomas Mori, Omari Khalifa Mbura

Business Management Review

Microfinance cooperatives (MFCs) play a key role in socio-economic development, predominantly in developing countries. However, studies focusing on the relationship between entrepreneurial orientation (EO) and the performance of MFCs are limited, particularly in Tanzania. This study was informed by the resource-based view to examine the influence of EO dimensions on the performance of MFCs in Tanzania. Specifically, the study focused on four dimensions of EO namely; innovativeness, proactiveness, risk taking, and competitive aggressiveness behaviours. Data were obtained from 299 stratified sampled managers of MFCs through the administration of a structured questionnaire. In testing this relationship, Partial Least Squares Structural Equation …

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 …

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 …

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 …

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 …

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.

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 …

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 …

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 …

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 …

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 …