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Letter To Tamela, Lloyd C. Clark

Lloyd Clark Papers

Letter to Tamela Herczeg, Executive Director of the UTA Alumni Association, from Lloyd C. Clark, with a nomination form to the Alumni Association Board of Directors, for John Eugene McKee, photograph, bio, and letter from him to Lloyd.

Letter And Form, Tamela Herczeg

Lloyd Clark Papers

Letter to Lloyd C. Clark from Tamela Herczeg, Executive Director of the UTA Alumni Association, regarding the new Alumni Directory. UTA Alumni Association Directory Questionnaire form completed by Lloyd C. Clark.

Articles, Lloyd C. Clark

Lloyd Clark Papers

Newspaper articles and excerpts, from 1947, written by Lloyd C. Clark.

Form And Check, Lloyd C. Clark

Lloyd Clark Papers

Century II Society Donor List form completed by Lloyd C. Clark, with attached check for $150 as a contribution to the annual fund.

Volume 31

Articulāte

No abstract provided.

The Streamlined Illusion: Addressing Progress And Superficiality In U.S. Industrial Design, Misha Maryan

Articulāte

No abstract provided.

A Self-Improving Ai System For Phonetic Name Resolution Via A Closed-Loop, Multi-Modal, Automated Learning Architecture, Puneet Shrivastava, Rajarshee Dhar, Ram Mohan R, Gergely Lukacsy

Defensive Publications Series

Proposed herein are techniques that can facilitate transforming today's "tone-deaf" and static artificial intelligence (AI) receptionists into a self-improving, intelligent system purpose-built for seamless and accurate caller routing in the enterprise. The proposed system introduces a dynamic conversational engine that uses just-in-time (JIT) vocabulary injection for real-time accuracy, an automated learning pipeline that learns from every human-led correction, and a multi-modal fusion engine that intelligently weighs phonetic, acoustic, and contextual signals. This approach empowers enterprises to eliminate caller frustration, drastically improve name recognition accuracy, and bridge the dangerous gap between a caller's intent and an automated system's ability to understand …

Gci-302 — Vascular Leak Stabilization Envelope (Vlse-1), Michael Victor Caldwell Mr.

Defensive Publications Series

The VLSE-1 (Vascular Leak Stabilization Envelope) is a conceptual laboratory-only extracorporeal flow-conditioning and staged adsorption cartridge architecture intended for benchtop investigation within ECMO-style circulation loops.

The proposed system is designed to explore whether ultra-low-shear blood-flow conditioning combined with progressive inflammatory adsorption zones can produce more stable fluidic behavior than conventional abrupt high-resistance adsorption cartridges.

The architecture integrates:

• low-shear inertial flow conditioning,

• staged adsorption regions,

• clot-localization geometry,

• passive thermal stabilization,

• microbubble separation,

• passive zero-energy bypass logic,

• ECMO-compatible flow-path concepts,

• progressive saturation behavior.

Unlike aggressive purification systems, the VLSE-1 concept prioritizes:

• flow continuity,

• hemocompatibility,

• pressure stability,

• predictable degradation behavior,

• preservation of formed …

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Control Software Lifecycle Management, Anonymous

Defensive Publications Series

Control software goes through multiple changes by different people at various phases during its lifetime from design to commissioning to operation to end of life. These frequent software changes make it difficult to track, validate, and maintain consistency. There is no Versioning system to track all the changes contextually. Failures due to software quality issues are often addressed reactively. A Sophisticated versioning system will be of interest to cater Software Quality. Commercial systems like GIT are not designed for Control Software.

Self-Calibrating Product Adoption Measurement System, Chady Saad, David Wolder, Bruce Mcmurdo, Ravi Garg, Tim Barnes

Defensive Publications Series

Proposed herein is a self-calibrating system for measuring product adoption that continuously adapts how adoption is interpreted as customer behavior, peer usage patterns, and product capabilities evolve. Rather than relying on static thresholds or manually defined success criteria, the system dynamically evaluates feature enablement and engagement relative to cohort behavior and customer-selected outcomes. The resulting adoption measurements provide an objective, context-aware view of true adoption progress that remains accurate as products and customer usage mature over time by dynamically recalibrating milestone thresholds and cohort baselines from live peer telemetry distributions.

2025, Significant Natural Disasters And Global Carbon Capture, Utilization, And Storage—Annual Progress Report, Shangli Shi, Yun Hang Hu

Michigan Tech Publications

This annual review summarizes the progress of carbon capture, utilization, and storage (CCUS) technologies in 2025. During this year, the growth rate of atmospheric CO2 concentrations slowed, yet anthropogenic CO2 emissions continued to rise. At the same time, the increasing frequency of severe natural disasters underscored the urgency of climate action and further intensified global efforts to advance CCUS deployment. Scientific interest in CCUS expanded markedly, with the annual number of related publications increasing by 18.5% compared with 2024, reaching 63935. Meanwhile, the total number of operational commercial CCUS facilities worldwide grew by 54%, accompanied by an approximate 25% increase …

A Lifecycle Governance And Learning Health System Framework For Trustworthy, Generalizable, And Sustainable Human-Ai Partnership In Clinical Practice: Lessons From The Asthma-Guidance And Prediction System (A-Gps), Chung-Il Wi, Shauna Overgaard, Momin Malik, Dave Watson, Deepak Sharma, Jennifer Le-Rademacher, Dan Kelleher, Lu Zheng, Joshua Ohde, Brian Lynch, Ashwani Khurana, Sunghwan Sohn, Mahmoud M Aljuhani, Chris Carpenter, Manuel Arteta, Jason Greenwood, Martha Hartz, Randy Foss, Elif Polat, Imad Absah, Carla Davis, Meera Gupta, Lynnea Myers, Björn Nordlund, Cui Tao, Mark L Wieland, Christi Patten, Amie Jones, Prathibha Varkey, Brenna T Loufek, David E Vidal, Nari Gopala, Eric Klee, Vijay H Shah, John D Halamka, Matthew R Callstrom, Nicholas L Rider, Hongfang Liu, Constantin Aliferis, Vesna D Garovic, Young J Juhn

Faculty, Staff and Students Publications

The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. However, current understanding of how to establish trustworthy human-AI partnerships is in its infancy, despite its critical importance for implementing AI in healthcare. We present the Asthma-Guidance and Prediction System (A-GPS) as a case study of a practice-integrated AI platform that demonstrates how trustworthy, generalizable and sustainable AI can be developed, evaluated, and implemented in real-world asthma care. We describe major challenges and solutions based on our real-world experience during the process and offer the practical framework, approaches, tools and workflow …

Robust Magnetoelectric Backscatter Communication System For Bioelectronic Implants, Fatima Alrashdan, Joshua E Woods, Ellie C Chen, Wendy Tan, Zhanghao Yu, Wei Wang, Mathews John, Lukas Jaworski, Drew Bernard, Allison Post, Angel Moctezuma-Ramirez, Abdelmotagaly Elgalad, Kaiyuan Yang, Mehdi Razavi, Jacob T Robinson

Faculty, Staff and Students Publications

Wireless communication technologies for bioelectronic implants enable remote monitoring for diagnosis and adaptive therapeutic intervention without the constraints of wired connections. However, wireless data uplink from millimeter-scale devices deep in the body struggles to achieve low power consumption while maintaining large misalignment tolerances. Here, we report a passive wireless backscatter communication system based on magnetoelectric transducers that consumes less than 0.3 pJ/bit and achieves less than 1E-6 bit error rate at a distance of 55 mm while tolerating a misalignment of 10 mm. Using this robust data uplink, we designed a wireless cardiac sensing node that can transmit electrocardiogram signals …

When The Second Amendment Meets The Third Dimension: Bruen In The Age Of 3d-Printed Firearms, Andrew Touma

Duke Journal of Constitutional Law & Public Policy Sidebar

3D-printed firearms pose a serious threat to the public by allowing individuals to circumvent traditional regulatory safeguards. Although the first shot from a 3D-printed firearm was over a decade ago, these weapons continue to exploit gaps in the federal regulatory scheme. In the meantime, state governments have adopted a variety of approaches to regulating 3D-printed firearms. As 3D printing pushes firearms technology into the future, the Supreme Court's decision in New York State Rifle & Pistol Ass'n v. Bruen directs Second Amendment doctrine to look to history, leaving questions over whether a decidedly historical methodology could effectively adapt to technological …

Preparation And Characterization Of Walnut Polypeptide Liposomes With Bilayer Polysaccharide Modification, Chen Rui, Wang Fengjun, Zhang Guohong, Jin Feng, Peng Hongchun

Food and Machinery

[Objective] To improve the physicochemical stability of walnut polypeptide liposomes (WP-L), delay walnut polypeptide (WP) release, and conduct bilayer polysaccharide modification on the WP-L using sodium alginate (SA) and chitosan (CS). [Methods] The effects of modifications by CS and SA in different mass fractions on the physicochemical properties of WP-L are investigated. Then, the structural morphology of the liposomes is characterized by transmission electron microscopy (TEM) and Fourier transform infrared (FTIR) spectroscopy. Additionally, liposome stability under long-term storage conditions is examined. Finally, polypeptide release rates, release behavior, sustained-release characteristics, alongside bioactivity changes before and after digestion are evaluated via in …

Analysis And Identification Of Chromogenic Components In Lotus Root Powder, Zhang Yuhan, Xin Xiaobin, Yang Cheng, Min Rui, Shi Liangman

Food and Machinery

[Objective] To analyze and identify the coloring components in lotus root powder, clarify the reasons for the different colors of lotus root powder, and analyze the color variation patterns during brewing. [Methods] Five commercially available lotus root powder samples are analyzed. Acid-base chromogenic reactions and ultraviolet-visible (UV-Vis) spectroscopy are employed to preliminarily identify the chromogenic components. Ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) and Fourier transform infrared spectroscopy (FT-IR) are used to determine their composition and structural units. [Results] The chromogenic components in lotus root powder are identified as proanthocyanidins, primarily oligomeric proanthocyanidins composed of catechins …

Foaming Properties And Structural Characterization Of Wheat Germ Albumin-Galacto-Oligosaccharide Covalent Complexes, Zhang Gensheng, Su Wenwen, Huang Xinyu, Du Yinan, Na Zhiguo, Fei Yingmin

Food and Machinery

[Objective] To improve the foaming properties of wheat germ albumin (WGA). [Methods] WGA was modified by wet glycosylation with galacto-oligosaccharides (GOS). The foaming capacity and foam stability of the wheat germ albumin-galacto-oligosaccharide covalent complex (WGA-GOS) were investigated, and its structure was characterized. [Results] Compared with WGA, the foaming capacity and foam stability of the WGA-GOS increased by 41.7% and 7.9%, respectively. Fourier transform infrared spectroscopy, circular dichroism, intrinsic fluorescence spectroscopy, and scanning electron microscopy analyses showed that the introduction of GOS altered the spatial structure of WGA, confirming the formation of covalent bonds between WGA and GOS. After modification, the …

Simulation And Analysis Of Drying Characteristics Of Sorghum In Vibrating Fluidized Bed, Yan Yanqi, Wan Lin, Che Gang, Wang Haochen, Xi You

Food and Machinery

[Objective] To analyze the motion, heat transfer, and mass transfer characteristics of sorghum in a vibrating fluidized bed and determine appropriate vibration and ventilation parameters to achieve efficient drying of sorghum. [Methods] Under the combined action of vibration and hot air, and based on the heat and mass transfer as well as the motion relationships between sorghum particles and the air medium during the fluidized bed drying process, a heat and mass transfer model was developed based on CFD-DEM fluid-solid coupling theory. The effects of vibration frequency, hot air temperature, and apparent wind speed on drying rate and drying unevenness …

Indirect Competitive Enzyme-Linked Immunosorbent Assay For The Detection Of Enrofloxacin Residues In Animal-Derived Food, Huang Jiaxiang, Li Yanfei, Wang Kaile, Zhang Min, Wang Yao, Kang Huaibin

Food and Machinery

[Objective] To establish a highly sensitive indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) for detecting enrofloxacin (ENR) residues in animal-derived food. [Methods] ENR was conjugated with keyhole limpet hemocyanin (KLH) using the carbodiimide method to prepare an immunogen, and New Zealand white rabbits were immunized to produce high-sensitivity antibodies. Based on this, the detection system was optimized to establish ic-ELISA, the detection performance was evaluated, and spiked recovery tests were conducted in animal-derived food. [Results] Under the optimized conditions of coating antigen concentration at 0.25 μg/mL, antibody dilution of 1∶40 000, secondary antibody dilution of 1∶5 000, primary antibody incubation for …

Dilemma Of Food Safety Information Release In The Protection Of Consumer Rights And Interests, Kong Fei

Food and Machinery

From the perspective of consumer rights protection, and in light of the existing institutional mechanisms and practical conditions in the field of food safety, this study finds that the current release of food safety information faces several dilemmas, including insufficient transparency in government food safety information disclosure systems, relatively single channels for information dissemination, and a relatively lagging public opinion monitoring system. In response to these dilemmas, solutions can be proposed from three distinct dimensions. First, enhancing the transparency of the government food safety information release system, namely by clearly defining the responsibilities of various departments and enriching the types …

Bearing Fault Detection Of Fruit Puree Packing Machine Based On Multi-Channel Depth Residual Graph Neural Network, Yan Shengli, Fu Hui, Li Hao

Food and Machinery

[Objective] To address the issue of bearing failure in fruit puree packaging machines operating in complex work environments. [Methods] This study proposes a method of bearing fault detection of fruit puree packing machine based on multi-channel depth residual graph neural network. First, it uses the Cmor wavelet to complete signal preprocessing, and converts the original one-dimensional bearing fault signal samples into two-dimensional time-frequency graph signals. Second, the study designs the multi-channel feature extraction module, which reduces the number of parameters and enhances the data interaction between each channel, so as to effectively extract the two-dimensional time-frequency spectrum information of the …

Automatic Sorting System For Citrus Fruits Based On Machine Vision Algorithms And Intelligent Camera, Li Lei, Gao Yanling, Hou Yakun, Liu Zihui

Food and Machinery

[Objective] To achieve the automatic sorting of citrus fruits. A smart sorting system combining machine vision algorithms and an intelligent camera is designed. [Methods] The system is composed of a detection room, an intelligent camera, a mirror, a lighting system and rollers (including conveyor belts). The intelligent camera is equipped with a microprocessor, which can capture and process images without a dedicated computer. The lighting system consists of LED light strips positioned above the fruits, operating in stroboscopic mode synchronized with the camera to ensure uniform and stable illumination. For the captured fruit images, machine vision algorithms are applied to …

Time-Optimal Trajectory Planning For Food Sorting Robotic Arm Based On Improved Fruit Fly Algorithm, Zhang Meijing, Liu Jiacheng, Wang Yang

Food and Machinery

[Objective] To enhance sorting efficiency and motion stability and to address problems in robotic arm trajectory planning in food sorting scenarios, such as long operation time, large joint motion impact, and the tendency of algorithms to fall into local optima. [Methods] Taking the UR 5 six-degree-of-freedom food sorting robotic arm as the research object, a time-optimal trajectory planning method based on an improved fruit fly optimization algorithm (IFOA) was proposed. First, a kinematic model of the robotic arm was established, and its forward and inverse kinematic equations were solved. On this basis, a 3-5-3 piecewise polynomial interpolation method was adopted …

Non-Destructive Prediction About Storage Quality Of Prunes In Xinjiang Using Visible And Near-Infrared Spectroscopy Technology, Wen Long, Zhang Hui, Lai Lisi

Food and Machinery

[Objective] To establish a prediction model for the soluble solid content (SSC) and firmness of prunes in Xinjiang using visible and near-infrared (Vis-NIR) spectroscopy, enabling nondestructive and accurate evaluation of the internal quality of the fruit. [Methods] Taking 280 prunes in Xinjiang as research samples, the study collects Vis-NIR reflectance spectra at different storage periods with a near-infrared system. Principal component analysis-Mahalanobis distance (PCA-MD) is applied to eliminate abnormal samples. Then, the remaining dataset is divided into a calibration set and a prediction set at a ratio of 3∶1 using the Kennard-Stone (K-S) algorithm. Partial least squares (PLS) and support …

Intelligent Defect Detection On Peanut Surfaces Based On Improved Yolo V 7, Tian Boxuan

Food and Machinery

[Objective] To propose an intelligent defect detection method based on an improved YOLOv7 model for the challenges of strong polymorphism in peanut surface defects and insufficient accuracy of traditional visual inspection methods. [Methods] A cross-channel attention mechanism is integrated to enhance local feature response. Then, a bidirectional feature pyramid is constructed to improve multi-scale defect fusion. Additionally, an angle constraint loss function is introduced to optimize irregular object localization. Furthermore, the model is optimized using an industrial-grade sample library combined with data augmentation strategies. [Results] The improved model achieves a precision of 0.917, a recall of 0.903, [email protected] of 0.948, …

Construction Of A Quaternary Composite Antimicrobial Film And Its Preservation-Enhancing Effect On Cherry Tomatoes, Nie Longying, Jiao Lijun, Yang Jiamin, Ye Wenbin, Zhu Xiujuan

Food and Machinery

[Objective] To optimize the formula of a chitosan (CS)-carboxymethyl cellulose (CMC) composite film, and to enhance its antimicrobial activity and preservation effect on cherry tomatoes through the incorporation of olive pomace polyphenols (OPP) and curcumin (Cur). [Methods] CS and CMC are used as the matrix, into which OPP and Cur are incorporated. Then, the formula is optimized using response surface methodology, with the inhibition zone diameter against E.coli as the indicator. [Results] The optimal formula is 1.5% CS, 3% CMC, 8% OPP, 3% Cur, 0.9% glycerol, and 1.2% acetic acid, all based on the weight of water. The resulting CS-CMC-OPP-Cur …

Nobiletin Improves Organismal Health By Regulating Circadian Rhythms : Absorption, Mechanisms, And Delivery Strategies, Zhang Mengling, Han Lingxian, Zhao Chan, Liang Zengenni

Food and Machinery

Nobiletin, a hexamethoxyflavone unique to citrus peels, exhibits activity in regulating circadian rhythms. Characterized by a low molecular weight, it can cross the blood-brain barrier and demonstrates various biological functions, including antioxidant, anti-inflammatory, cardiovascular protective, and anticancer effects. However, limitations such as its low water solubility, high crystallinity, and poor stability hinder its nutritional and functional performance in food applications. Therefore, this review summarizes the in vivo absorption of nobiletin, its penetration through the blood-brain barrier, and the biotransformation processes of its active metabolites. Furthermore, this review discusses the regulatory effects on the central clock and peripheral clocks, as well …

Exploration In The Mechanism Of Alcohol Extracts Of Moringa Oleifolia Leaves In Improving Sleep, Gao Wenrong, Liu Weiliang, Zhao Dongmei

Food and Machinery

[Objective] To explore the effect of Moringa oleifera leaves, a characteristic plant resource in Yunnan Province, on the sleep improvement mechanism. [Methods] The chemical composition of ethanol extract from M.oleifera leaves (MOLEE) is determined by targeted metabolomics technology. The efficacy of MOLEE in improving sleep is evaluated in vivo through health food standard assays (mouse autonomous activity monitoring, pentobarbital sodium-induced mouse sleep test, and pentylenetetrazole-induced mouse convulsion test). Network pharmacology, molecular docking, and molecular dynamics simulation are employed in vitro to preliminarily investigate the mechanism of MOLEE on sleep-improving efficacy. [Results] MOLEE is rich in some active ingredients such as …

Optimization Of Carotenoid Production From Xinhui Mandarin Juice Fermented By Rhodotorula Mucilaginosa, Liu Minghan, Jian Huali, Zhong Wujie

Food and Machinery

[Objective] To improve the utilization of waste Xinhui mandarin pulp and explore the feasibility of preparing low-cost carotenoid-producing culture media. [Methods] By using Xinhui mandarin juice as the fermentation medium, with the total carotenoid yield and biomass of rhodotorula mucilaginosa as the evaluation indexes, the components of the medium and fermentation conditions were optimized via single-factor experiments and response surface methodology. [Results] The fermentation medium is prepared with Xinhui mandarin juice, with the total sugar content controlled at 95~100 g/L, total nitrogen content at 3 g/L, and initial pH at 6. Under the conditions of 4 mL/ 100 mL inoculum …

Effects Of High-Pressure Processing On Microbial Indicators, Physicochemical Indicators, And Aroma Components Of Golden Tea Beverage, Wang Han, Yao Maojun, Cao Yingzi, Luo Kaikun, Tan Yongsheng

Food and Machinery

[Objective] To systematically evaluate the comprehensive effects of high-pressure processing (HPP) on microbial inactivation, physicochemical properties, and volatile aroma compounds of golden tea beverage, and to optimize a non-thermal processing technique, in response to the negative impact of conventional thermal sterilization on its quality. [Methods] Golden tea beverage was treated under different pressure-time combinations using HPP. Microbial indicators were determined, and microbial inactivation kinetic models were established. Changes in physicochemical properties (tea polyphenols, free amino acids, total soluble sugars, pH, and color) were analyzed, and sensory evaluation was conducted to determine the optimal processing parameters. Meanwhile, volatile aroma compounds before …