Digital Commons Network^™

Sts 352-101: Race And Ethnicity, Laura Dickerman

Humanities Syllabi

No abstract provided.

The Prospector, September 25, 2025, Utep Student Publications

The Prospector

No abstract provided.

Enhanced Prediction Of Condensation Pressure Drop In Mini And Microchannels Using Physics-Assisted Machine Learning, Farshad Barghi Golezani, Jiayuan Li, Forouzan Naderi, Alexander Meylikhov, Logan M. Pirnstill, Issam Mudawar, Chirag R. Kharangate

Faculty Scholarship

Reliable prediction of frictional pressure drop during condensation in mini‑ and microchannels underpins both thermal management effectiveness and overall heat transfer performance in compact two‑phase heat exchangers, cold‑plates, and on‑chip cooling loops. Excess pressure loss burdens pumps, raises electrical consumption, and can destabilize flow, whereas under‑prediction risks temperature overshoot and premature dryout. Conventional empirical correlations and flexible machine-learning models can lose accuracy once channel size, working fluid, or operating conditions stray beyond their testing range. This study uses a physics‑assisted machine‑learning framework that overlays an XGBoost residual learner on the Kim–Mudawar separated‑flow correlation to achieve high fidelity and robustness in …

Trajectory Of Iron And Red Cell Parameters In Moderately Anemic Iron-Deficient Pregnant Women Receiving Daily Iron-Folic Acid Supplementation: A Prospective Cohort Study, J. P. Akshaykirthan, Manjunath S. Somannavar, S. Yogeshkumar, M. S. Deepthy, Umesh Charantimath, Amaresh Patil, Mrutyunjaya B. Bellad, Richard Derman, Shivaprasad S. Goudar

Global Health Articles

Background/Objectives: The objective is to study the trajectories of hematologic and biochemical markers in moderately anemic pregnant women receiving oral iron supplementation throughout pregnancy. Methods: This prospective cohort study was conducted from August 2021 to September 2023 involving 315 pregnant women from rural areas of Belgaum, Karnataka, India, with hemoglobin levels between 7.0 and 9.9 g/dL and serum ferritin < 30 ng/mL and/or TSAT < 20%. Participants received iron-folic acid supplementation (IFAS) as per Anaemia Mukt Bharat guidelines. Blood samples were collected to measure various hematologic and iron markers and compared across each visits. Results: We report a complete adherence rate of 95.3% for iron and 97.8% for folic acid supplementation throughout pregnancy and also observed significant improvements in hemoglobin (9.36 (8.55, 9.74) to 12.03 (11.49, 12.72)) g/dL, hematocrit (29.93 ± 2.87 to …

Blockchain-Based Trusted Traceability And Sustainability Certification Of Leather Products, Ruba Islayem, Haya R. Hasan, Ahmad Musamih, Khaled Salah, Raja Jayaraman

Industrial Engineering: Faculty & Staff Publications

The leather supply chain comprises numerous organizations and stakeholders, particularly when sustainability aspects are taken into account, making it a complex system. The complexity inherent in such systems can lead to inaccurate information, lack of transparency, and limited data provenance. Moreover, there has been a surge in the call for sustainable practices within leather production, propelled by growing environmental consciousness and ethical considerations. In this paper, we address these challenges by proposing a blockchain-based solution designed to ensure trusted and secure traceability and sustainability throughout the entire life cycle of leather products. By harnessing the inherent capabilities of Ethereum smart …

Carbon Metabolism And Multidrug Resistance In Bacillus Mobilis And Cupriavidus Campinensis Isolated From Cadmium-Spiked Soils, Philips O. Akinwole, Emma E.C. Jacobs '25, Nina G. Shaffer '25

Biology Faculty publications

Heavy metal contamination and antibiotic resistance are critical environmental and public health challenges, often exacerbated by co-selection pressures in polluted environments. This study identifies and characterizes Bacillus mobilis and Cupriavidus campinensis, two cadmium-tolerant bacterial species isolated from cadmium-amended soils with cadmium (Cd²⁺) concentrations exceeding those typically found in highly contaminated soils. Both species exhibited multidrug resistance and the ability to metabolize specific carbon substrates, including pyruvic acid methyl ester, itaconic acid, D-galactonic acid-γ-lactone, Tween-40, and Tween-80. These substrates enhance microbial activity and heavy metal bioavailability, supporting their potential roles in bioremediation, especially through the targeted introduction of …

Generalızed Kuramoto-Sıvashınsky Equatıon Solvıng By B-Splınes Based Neural Network, University Of Abomey-Calavi, Abomey-Calavi, Benin, Abdou Wahidi Bello, Jamal Adetola, National University Of Science, Technology, Engineering And Mathematics (Unstim), Abomey, Benin, Charbel Zeus Jupiter Mamlankou, Brice Bonaparte Adjalla

Baku Mathematical Journal

This study presents a comprehensive case study investigating the application of Variational Physics-Informed Neural Networks (VPINNs) combined with B-spline test functions for solving the generalized Kuramoto-Sivashinsky equation in one space dimension. The Kuramoto-Sivashinsky equation, a nonlinear fourth-order PDE, serves as a benchmark for modeling instabilities in fluid dynamics, combustion, and pattern formation. Our methodology leverages variational formulations to enhance solution accuracy while ensuring robust convergence. Through systematic numerical experiments, we demonstrate that VPINNs effectively capture complex dynamical behaviors in high-order nonlinear systems. The framework’s robustness is evaluated across different network architectures and multi-stage optimization strategies using Adam and L-BFGS optimizers. …

Convexity Of Out-Chebyshev Sets, Lomonosov Moscow State University, Moscow, Russia, Alexey R. Alimov, Niyazi A. Ilyasov, Institute Of Mathematics And Mechanics, Baku, Azerbaijan

Baku Mathematical Journal

A set is an out-Chebyshev set if any point lying at a positive distance from this set has a unique best approximant in this set. We extend the classical Berdyshev– Brøndsted–Brown theorem on convexity of Chebyshev sets in spaces of dimension 4 to the case of out-Chebyshev sets.

On The Existence Of Solutions For Perturbed Impulsive Differential Equations With Initial Time Differences, Gebze Technical University, Gebze, Turkiye, Saliha Demirbuken, Coskun Yakar

Baku Mathematical Journal

In this paper, we investigate the existence of solutions for a perturbed impulsive differential system, where the initial time differs from that of the corresponding unperturbed system. Our approach is based on the method of upper and lower solutions, which provides a framework for establishing the existence of solutions under suitable conditions.

Mixed Problem For A Nonlinear Differential Equation Of The Seventh Order With Identification Source, Samarkand State University, Samarkand, Uzbekistan, Tursun K. Yuldashev, Bakhtiyar J. Kadirkulov, Alfraganus University, Tashkent, Uzbekistan, Mahkambek M. Babayev, Tashkent State Transport University, Tashkent, Uzbekistan

Baku Mathematical Journal

In this paper, a seventh order nonlinear partial differential equations with mixed and additional conditions and positive parameter is considered. The Fourier spectral method of separation of variables is applied. Countable systems of nonlinear functional-integral equations are derived. Theorem on the uniqueness and existence of the solution of inverse problem is proved for some values of parameter. The method of contraction mapping in Banach space is applied. The solution of the inverse problem is obtained in the form of Fourier series. Theorem on absolute and uniform convergence of Fourier series is proved.

Hospital And Temporal Variations In Limitations Of Care Among Hospitalized Patients With Covid-19: A Virus Registry Retrospective Cohort Study, Nathan Mesfin, Nitesh Kumar Jain, Anwar Khedr, Hisham Mushtaq, Abbas B. Jama, Noura Attallah, Esraa Hassan, Benjamin Langworthy, Nicholas Ingraham, Juan Pablo Domecq Garces, Thoyaja Koritala, Donna Lee Armaignac, Nicholas Eugene Perkins, Katherine Belden, Vishakha Kumar, Karen Boman, Devang K. Sanghavi, Vikas Bansal, Rahul Kashyap, Rodrigo Cartin-Ceba, Abigail La Nou, Allan J. Walkey, R. Adams Dudley, Syed Anjum Khan

Division of Infectious Diseases and Environmental Medicine Faculty Papers

INTRODUCTION: Life-support limits (i.e., code status), the first step in the continuum of palliation and end-of-life (EoL) care, stem from decisions made by patients and their providers to align care near the EoL with patients' wishes. The pandemic created health care strain that may have influenced life-support limitation practices among patients with serious COVID-19. In this study, we examine variations in life-support limitations (do-not-resuscitate, DNR; do-not-intubate, DNI) depending on the hospital and period of hospitalization.

METHODS: We included all adults admitted to a hospital in the United States with COVID-19 from January 2020 to December 2021 using the VIRUS registry. …

Process And Mechanism Of Defluorination Using Magnesium Chloride-Modified Coal Gangue, Zhao Li, Zhou Wangxu, Zhang Qing, Xing Mingfei, Xu Feng, Kong Weifang, Liu Yifei, Qin Guangyu

Coal Geology & Exploration

Background The rapid development of industry has resulted in a yearly increase in wastewater discharge, which induces a gradually rising fluorine concentration in water. In this context, removing fluoride using natural materials and industrial waste has emerged as a popular research topic. Coal gangue, one of the largest contributors to industrial waste in China, contains substantial clay minerals, and its pore structure can be effectively improved through modification. This helps significantly enhance its adsorption performance and thus achieve efficient fluoride removal from water. Methods This study investigated coal gangue from a typical mining area of the Henan Energy and Chemical …

A Modular Casing While Drilling Rig For Large-Diameter Horizontal Boreholes For Underground Rescue, Fan Dong, Ni Xiaoyang, Mu Shuyuan, Zou Zujie, Wen Guojun, Li Yingping, Lu Feifei

Coal Geology & Exploration

Objective Operations in a narrow space pose a challenge to rescue in the case of the collapse of mine roadways or tunnels. To address this challenge, this study developed a modular rescue casing while drilling (CwD) rig system for horizontal boreholes. With the capacity for quick responses, this CwD rig was designed to enhance the rescue efficiency and safety under complex geological conditions. Methods Following the modular design concept and compact layout principle, this study optimized core components such as the power heads, feed devices, and power system. The auxiliary operation vehicle was checked against overturning through multibody dynamics (MBD) …

Structural Optimization For Transfer Chutes Based On Energy Dissipation Mechanisms Of Coal Particles, Shi Yaocheng, Zou Zujie, Wen Guojun, Cheng Siyi, Wu Laijie, Wang Yudan, Liu Pu, Chen Mengxi

Coal Geology & Exploration

Objective Bulk material transport in emergency rescue scenarios and coal transportation poses stringent demands for the structural performance of transfer chutes. Given this, from the perspective of the energy dissipation mechanisms of particles, this study proposed structural optimization methods for transfer chutes based on the regulation of particle energy dissipation. Methods An experiment–simulation integrated analysis framework was established. Using this framework, this study systematically simulated the impact process of particles between two-stage walls I and Ⅱ using the discrete element method (DEM), highlighting the coupling mechanisms among velocity fluctuations, stress distribution, and energy transformation pathways. Based on the results, this …

A Simulation And Experimental Study Of Bottomhole Flow Field In A Large-Diameter Rescue Borehole, Zhao Yan, Liu Songhe, Hao Shijun, Zhao Jiangpeng, Li Peishu, Wang Xuebo, Yu Yongping, Gao Ke, Dong Bo, Zhang Bo

Coal Geology & Exploration

Objective In mine rescue, reaming using a large-diameter down-the-hole (DTH) hammer faces is challenged by complex bottomhole flow fields and difficult slag discharge. This study aims to address these challenges. Methods To reveal the influence patterns of drilling parameters on the bottomhole flow field and slag discharge efficiency, this study determined the optimal drilling parameter combination. Then, using the computational fluid dynamics (CFD)-discrete phase model (DPM) method, this study established a numerical model for the slag discharge and bottomhole flow field during the reverse circulation drilling using a DTH hammer. Relying on this model, this study analyzed the variation patterns …

Integrating Data Analytics Into Financial Risk Management For Regulatory Decision Support And Financial System Resilience, Md Shehab Hossain, Saddam Nasir Chowdhury, Rakesh Kumar Reddy Aduri

Student Publications

This paper explores how data analytics can be incorporated in financial risk management and thus serve as a basis for effective financial risk management decision support and financial system resilience. Traditional risk assessment methods are less effective in the face of growing volumes, velocity and complexity of data, especially in pinpointing new systemic risks, interconnections, market shocks, and institutional stress. The study examines the use of machine learning, real-time monitoring, stress testing and early-warning systems in the detection, assessment, and mitigation of credit, market, liquidity, operational, and systemic risks through descriptive, predictive and prescriptive analytics. It takes a conceptual and …

Approxımatıon Of The Ahlfors-Beurlıng Transform In The Lebesgue Spaces, Baku State University, Baku, Azerbaijan, Rashid A. Aliev, Lale Sh. Alizade

Baku Mathematical Journal

The Ahlfors-Beurling transform is one of the important operators in complex analysis. It is the "Hilbert transform" on complex plane. This transform plays an essential role in applications to the theory of quasiconformal mappings and to the Beltrami equation with discontinuous coeffcients. Therefore, approximations of the Ahlfors-Beurling transform are of great interest. This article is devoted to the approximation of the Ahlfors- Beurling transform in the Lebesgue spaces. We prove that the approximating operators are bounded maps in the Lebesgue spaces and converges strongly to the Ahlfors-Beurling transform

Improving Formability Of Low-Carbon Steel Shells Through Deep Drawing: Experimental Analysis Using Spss, Yousif Sabah Kareem

Warith Scientific Journal of Engineering and Technology

Deep drawing, a prevalent sheet metal forming technique, is beset by fracture, wrinkling, and earing. This research investigates punch velocity, die curvature, and lubrication to enhance the formability of low-carbon steel cups. These parameters were selected due to their direct influence on forming force, metal flow, and thickness distribution, which dictate product quality. This study examines the impact of speed, radius, and lubrication on formability. The pressure of the blank holder and the height of the die can also influence formability. Experiments designed by DOE approach were assessed using SPSS and validated by Bootstrapping. Speed was the primary element influencing …

Trcaptionnet++: A High-Performance Encoder-Decoder Based Deep Turkish Image Captioning Model Fine-Tuned With A Large-Scale Set Of Pretrain Data, Serdar Yildiz, Abbas Memi̇ş, Songül Varli

Turkish Journal of Electrical Engineering and Computer Sciences

This paper introduces a novel and high-performance encoder-decoder-based deep model called TRCaption Net++ for generic Turkish image captioning tasks. The proposed model is an improved and refined version of TRCap tionNet, which essentially employs a CLIP (contrastive language–image pretraining) image encoder, a feature projection layer and a BERT (bidirectional encoder representations from transformers) text decoder. Within the scope of the study, the regular TRCaptionNet model was trained and specifically fine-tuned with a massive set of image data. In this respect, approximately 2,000,000 random images representing the words in the MS COCO and Flickr caption sets were retrieved through web crawling …

Enhanced Pmu Data Imputation Using Variational Autoencoder: A Novel Approach For Improved Accuracy, Subin Koshy, Sunitha Rajan, Elizabeth P. Cheriyan

Turkish Journal of Electrical Engineering and Computer Sciences

Data collected from various measurement devices, such as phasor measurement units (PMUs), form the backbone of power system monitoring algorithms such as state estimation algorithms. Even though modern PMUs are efficient, data inaccuracies and loss can still occur due to problems like equipment malfunctions, communication issues, and hardware or software glitches. Missing values in the datasets can also affect the overall quality, impacting the algorithms dependent on them. This article introduces a novel technique for real-time imputation of missing data using variational autoencoder (VAE) and utilizing the latent space representation acquired from VAE. The method has demonstrated enhanced accuracy in …

Injection-Production Process Parameters Of Well Group Configurations For Autothermic Pyrolysis In Situ Conversion Of Oil Shale, Zeng Yijian, Zhu Chaofan, Li Yanwei, Shui Haoche, Guo Wei

Coal Geology & Exploration

Background A well group acts as a multi-well synergistic unit, and its configuration directly determines both the selection of optimal injection–production process and the utilization efficiency of stratigraphic conditions, ultimately affecting the overall performance of resource recovery. Methods Using numerical simulations, this study assessed the performance of autothermic pyrolysis in situ conversion (ATS) under three vertical well group configurations: one injection well and one production well (1I1P), one injection well surrounded by four production wells (1I4P), and one injection well surrounded by six production wells (1I6P). Furthermore, it revealed the synergistic mechanisms between well group configuration and energy efficiency. Results …

Attenuation Characteristics And Wave Impedance Inversion Of Depth-Domain Nonstationary Seismic Data, Ma Ming, Ma Feng

Coal Geology & Exploration

Background The efficient application of depth migration methods has enabled the extensive implementation of depth-domain seismic data interpretation. Previous studies on the impacts of time-to-depth conversion and velocity models merely determine that an increase in depth corresponds to reduced dominant wavenumber of seismic waves and waveform stretching, without considering the changes in amplitude and phase. Objective This study aims to accurately characterize the waveforms of nonstationary seismic signals in the depth domain and enhance the impedance inversion accuracy. Methods First, based on energy dissipation and frequency dispersion effects during the propagation of seismic waves, this study investigated the complex mapping …

Analysis Of The Connotation Of Hidden Disaster-Causing Factors In Coal Mines And The Key Points Of Their Reconnaissance, Lian Huiqing, Wang Xu, Yin Shangxian, Xia Xiangxue, Cao Min, Li Qixing, Wu Xiaoming, Zhang Bin, Wang Yangyu, Zhang Qing, Wang Guo’An

Coal Geology & Exploration

Background To systematically normalize the reconnaissance of hidden disaster-causing factors in coal mines, the National Mine Safety Administration issued the Specification for General Survey of Hidden Disaster-causing Factors in Mine in 2024. Nevertheless, coal mining enterprises still face a range of notable issues in reconnaissance of hidden disaster-causing factors, including ambiguous connotations of the factors, broad scopes of reconnaissance, unclear implementation stages, a disjunction between explorations and reconnaissance, and improper conclusion descriptions. These problems severely restrict scientific and operational reconnaissance.Methods This study reviews the history of research on the reconnaissance of hidden disaster-causing factors, presents a summary of significant …

Molecular Simulations Of Selective Adsorption Of Lithium In The No.6 Coal Seam, Junggar Coalfield, Zhang Junshuang, Sun Beilei, Zhang Bin, Liu Chao

Coal Geology & Exploration

Objective With the discovery of metal deposits in coal-bearing strata, the distribution and occurrence patterns of lithium in coals have attracted much attention. However, its partitioning mode between organic structures and minerals in coals remains poorly understood.Methods This study investigated typical coals with a high lithium content in the Junggar Coalfield in Inner Mongolia. By integrating multiple simulation methods, including quantum mechanics, Monte Carlo simulation, and molecular dynamics, this study established the structural models of organic matter and inorganic minerals, as well as a visualized lithium-coal molecular structure model. Accordingly, it investigated the preferential adsorption sites on both organic …

Automatic Detection Of Depression Using A Cnn-Transformer Model Based On Low-Channel Eeg Data, Dongfang Yu, Penghai Li, Fei Su, Kun Wang, Shutong Duan, Ding Yuan

Turkish Journal of Electrical Engineering and Computer Sciences

Background: Accurate and portable diagnostic tools for Major Depressive Disorder (MDD) remain a critical unmet need in clinical practice. Electroencephalography (EEG), with its noninvasiveness and high sensitivity, presents an ideal modality, yet traditional multi-channel EEG systems limit clinical convenience and practical deployment. Methods: We developed a novel CNN-Transformer hybrid model using only eight EEG channels selected from frontal regions to detect MDD. Minimal preprocessing steps (basic filtering) were applied to EEG data before the model automatically learned both local and global signal features through convolutional and self-attention mechanisms. We validated this method through comprehensive experiments, including within-dataset and cross-dataset evaluations, …

Electronically Tunable Cccii And Ota-Based Fractional-Order Meminductor Emulator And Its Application, Bhawna Aggarwal, Rupam Das, Shireesh Kumar Rai

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, two fractional-order meminductor (FOMI) emulators have been realized using second-generation current-controlled conveyor (CCCII) and operational transconductance amplifier (OTA). In the first realization, two OTAs, one CCCII, one resistor, one fractional-order capacitor, and one integer-order capacitor are used. In the second configuration two CCCIIs, one OTA, two resistors, one fractional-order capacitor, and one integer-order capacitor are used. Pinched hysteresis loops have been achieved for a wide range of frequencies. The robustness of the proposed FOMI emulators has been verified through formation of pinched hysteresis loops under process, voltage, and temperature variations. Other characteristics, such as transient analysis, nonvolatility …

Cover And Contents

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

A Comprehensive Approach For Design And Optimization Of A High Power Density Interior Permanent Magnet Motor For Evs, Bati Eren Ergun, Ahmet Hakan Oğuz, Güven Onur, Zeynep Akyüz, Derya Kocabaş, Mehmet Onur Gülbahçe

Turkish Journal of Electrical Engineering and Computer Sciences

This study presents a comprehensive design and optimization framework that addresses both electromagnetic and thermal aspects of an interior permanent magnet synchronous motor (IPMSM) intended for use in midsize commercial EVs. A 60-slot/10-pole IPMSM with a V-shaped rotor, capable of delivering 125 kW peak power at 4500 rpm from a 400 VDC bus, has been developed using a systematic approach. The design process begins with analytical estimations to determine initial motor geometry and performance parameters, followed by a finite element-based validation. To enhance performance, a multiobjective optimization is conducted using the nondominated sorting genetic algorithm II (NSGA-II). The optimization targets …

Yoganglenet: Body Angle-Based Yogic Posture Classification Approach Using Mediapipe From Single-Person Images, Arun Kumar Rajendran, Sibi Chakkaravarthy Sethuraman

Turkish Journal of Electrical Engineering and Computer Sciences

The profound psychological and physical benefits of yoga have attracted global interest. This study explores yoga pose classification using angle values derived from single-person posture images. The dataset is carefully curated and consists exclusively of single-person yoga postures. The proposed method applies feature selection to improve model performance, achieving high accuracy with the random forest (RF) classifier. Using the top four selected features, our approach attains a maximum testing accuracy of 92.63%. A key contribution of this study is its strong focus on model interpretability. To explain model predictions and clarify decision-making, we employ Local Interpretable Model-Agnostic Explanations (LIME) and …

Screening And Analysis Of Lactic Acid Bacteria With Anti- Helicobacter Pylori Activity, Wei Zicheng, Fan Liuping, Li Jinwei

Food and Machinery

Food packaging layout design, as the core element of visual communication, directly affects consumers' purchasing decisions. Based on the works receiving international design awards on food packaging, such as Pentawards, Dieline Award, Red Dot, and iF, fr