Digital Commons Network^™

A Reflected Radio Wave-Based Exploration Method For Goaves In Closed/Abandoned Mines And Its Application, Pang Yao, Wu Rongxin, Wang Jinguo, Hu Ze'an

Coal Geology & Exploration

Objective and Method The redevelopment and reutilization of closed/abandoned mines hold great research significance and practical production value due to their substantial number. In China, the secondary development and utilization of energy and spatial resources in such mines started late, rendering foundational theories and key technologies relatively underdeveloped. To investigate the developmental characteristics of underground spaces within goaves in closed/abandoned mines, this study proposed a reflected radio wave-based exploration method. Specifically, an observation system with a fixed transmitter-receiver (TR) spacing was deployed in rock roadways above/below or on both sides of the mining face in a closed/abandoned mine. Then, a …

Cross-Modal Lidar-Camera Joint Calibration For Heading And Mining Face In Coal Mines, Yang Wenjuan, Ren Zhiteng, Zhang Xuhui, Du Yuyang, Li Changpeng, Zhang Chao, Xu Jie, Wan Jicheng, Lei Mengyu

Coal Geology & Exploration

Objective In underground coal mines, it is challenging to extract the features of the heading and mining face stably under insufficient illumination, significant dust interference, and sparse point clouds. This severely undermines the accuracy and robustness of camera-LiDAR joint calibration based on underground unstructured scene characteristics.Methods Targeting complex operating conditions, including fully mechanized mining face and tunneling roadways, this study developed a LiDAR-camera joint calibration method based on cross-depth feature coupling. In this method, an improved random sample consensus (RANSAC) algorithm for multi-plane fitting was designed for feature extraction. By integrating normal vector-based pre-clustering and an adaptive iteration mechanism, …

On The Jordan-Chevalley-Dunford Decomposition Of Certain Classes Of Operators And Convergence Of Their Normalized Power Sequences, Renu Shekhawat

Doctoral Theses

The classical Jordan–Chevalley decomposition expresses a matrix A ∈ Mn(C) as a unique commuting sum A = D + N, where D is diagonalizable and N is nilpotent. Although this decomposition is algebraic in origin, it encodes significant spectral information and, as shown by Nayak, has an important analytic consequence: the convergence of the normalized power sequence {|A^n|^ 1/n }n∈N ; |A| := (A∗A)^1/2 . In this thesis we study Jordan-Chevalley–type decompositions in infinite-dimensional settings and their connection with the convergence behaviour of normalized power sequences. In particular, we discuss this phenomenon for Dunford’s spectral operators and compact operators on …

Cover And Contents

Turkish Journal of Chemistry

No abstract provided.

Expression, Purification, And Crystallization Of Recombinant Human Abl-1 Kinase For X-Ray Crystallography, Ayça İrgi̇t, Hali̇li̇brahi̇m Çi̇ftçi̇, Hasan Demi̇rci̇

Turkish Journal of Chemistry

Abelson-1 (ABL-1) is a nonreceptor tyrosine kinase that plays essential roles in various cellular processes, including proliferation, survival, differentiation and its kinase activity is tightly regulated. The dysregulated ABL-1 kinase activity is linked to disease pathogenesis like Chronic Myeloid Leukemia (CML), where the BCR::ABL-1 fusion oncoprotein drives oncogenic signaling. Due to its central role in CML pathogenesis, understanding the structure of ABL-1 is crucial for the effective management of the disease and drug development studies. This study focuses on optimizing the expression, purification and crystallization of the recombinant human ABL-1 kinase domain for its structural analysis via X-ray crystallography and …

Influence Of Plasticizer Type On The Structure And Drug Release Characteristics Of Lm-Pectin Hydrogels, Banu Kocaağa, Fatma Seni̇ha Güner

Turkish Journal of Chemistry

This study investigated the effects of different plasticizers—castor oil (CO), polyvinylpyrrolidone (PVP), and polyethylene glycol (PEG) with varying molecular weights (MWs)—on the structure and drug-release performance of low-methoxyl pectin (LM-pectin) hydrogels. Theophylline was used as a model drug to evaluate release behavior under physiologically relevant conditions. The incorporation of plasticizers modulated polymer–polymer interactions, swelling behavior, and thermal properties, thereby affecting drug-release kinetics. CO, a hydrophobic triglyceride, created microdomain-induced diffusion pathways; PVP, containing water-affinitive lactam units, facilitated moisture-driven plasticization; and PEG (MW 400/1000/1500), with hydroxyl-terminated chains, established hydrogen bonds with pectin. Structural analyses (FTIR and DSC) revealed that CO disrupted pectin …

Antioxidant Potential Of Sulfenimides In Waste Walnut Oil Biodiesel: Kinetic Stability, Phosphomolybdenum Activity, And Reducing Power Capacity, Nalan Türköz Karakullukçu, Hasan Yakan, Volkan Murat Yilmaz, Hali̇t Muğlu, Semi̇ha Yeni̇gün, Hali̇l Kütük

Turkish Journal of Chemistry

This study investigated the influence of synthetic sulfenimides on biodiesel–diesel fuel blends. Three previously synthesized sulfenimide derivatives were structurally characterized using spectroscopic techniques. We evaluated their antioxidant properties through phosphomolybdenum activity and reducing power capacity assays. The tested fuel samples were designated as D100, B10D90, B10D90_AA (ascorbic acid), B10D90_3, B10D90_2, and B10D90_1. The effect of adding 2000 ppm of the additive was measured using an Oxifast instrument following the ASTM D7545 standard, and the results were compared to those of the chemical antioxidant ascorbic acid. Inhibition time values were derived from the oxidation stability results. The starting temperatures for crystallization …

Comparative Computational Study Of Sulfur-Donor Additives For Stabilization Of Fapbi3 Perovskites, Ilnar Nurgaliev, Akbarxon Hamzayev, Murad Marasulov, Zavkiddin Julliev, Akhmad Oblakulov, Nigmat Ashurov

Turkish Journal of Chemistry

A multiscale computational investigation integrating density functional theory (DFT) and molecular dynamics (MD) simulations was conducted to elucidate the mechanisms through which sulfur-containing donor molecules stabilize the photoactive α-phase of formamidinium lead iodide (FAPbI3) perovskites. The binding energetics, charge-transfer behavior, and hydrogen-bonding interactions of thiourea (TU), thiosemicarbazide (TSC), thiocyanate (SCN–), and diethyldithiocarbamate (DTC) were systematically analyzed. DFT results revealed pronounced Pb–S coordination and multidentate hydrogenbonding, with binding energies following the trend SCN–>TSC>DTC>TU. Thermodynamic analysis demonstrated that these additives lower the Gibbs free energy difference, thereby stabilizing the black α-phase, with TSC, TU, and to a lesser extent …

Efficient Electrocatalytic Activity Of A Fe-Mof Based Cathode Catalyst In Pemfcs, Susmita Singh, Tanya Nishad, Debasmita Paul, Sumi Ganguly, Soumyabrata Goswami

Turkish Journal of Chemistry

Advancements in cost-effective and efficient alternative energy sources are critical for socioeconomic development. In this study, Iron-based metal–organic framework (Fe-MOF) electrocatalyst was fabricated using an Fe salt and ligand. Several surface characterization methods, including Fourier Transform-Infrared Spectroscopy (FTIR), Scanning Electron Microscope (SEM), and X-ray diffraction (XRD), were used to characterize the electrocatalyst. Additionally, using Chronoamperometry (CA), Electrochemical Impedance Spectroscopy (EIS), Linear Sweep Voltammetry (LSV), and Cyclic Voltammetry (CV), the electrocatalytic behaviour in a cathodic reaction in PEMFCs is investigated. The study showed the material’s exceptional chemical or surface stability, and great surface morphology of the material that facilitated the cathodic …

Encapsulation Of Cannabidiol In Chitosan-Stabilized Argan Oil Nanoemulsion As A Potential Dermal Drug Delivery System For Psoriasis Treatment, Yousra Mdarhri, Vinicius De-Monte-Vidal, Camila De-Almeida-Perez-Pimenta, Selene Cuello-Rodríguez, Ahmed Touhami, Fakhita Touhami, Mohamed Chabbi, Victoria Díaz-Tomé

Physics & Astronomy Faculty Publications

Background: Cannabidiol (CBD), a non-psychoactive compound derived from Cannabis sativa, exhibits therapeutic potential for various conditions, including inflammation, pain, and skin disorders, making it a promising candidate for the topical treatment of psoriasis. However, its poor water solubility and instability limit its therapeutic efficacy. This study focuses on the development and characterization of CBD-loaded nanoemulsions using argan oil as the lipid phase, with and without a chitosan coating, which serves as a stabilizing and functional biopolymer. Methods: Nanoemulsions (NE) and chitosan-stabilized nanoemulsions (CS-NE), both without CBD (serving as controls), and CBD-loaded variants (CBD-NE and CBD-CS-NE) were prepared and characterized for …

Inside The System, Outside The Circle: A Parent-Educator’S Journey Of Navigating Through Systemic Oppression While Advocating For Her Son With A Learning Disability, Sanora L. White

USF Tampa Graduate Theses and Dissertations

This autoethnographic study examines how I, as a Black parent-educator, navigated racialized and ableist educational systems while advocating for my child with a learning disability. Grounded in Disability Studies in Education, DisCrit, Critical Pedagogy, Universal Design for Learning, and Black Feminist Thought, the study explores how systemic inequities shape parent–teacher collaboration and how advocacy functions as relational care and resistance. The guiding research question asked how I experienced and navigated collaboration within racialized and ableist special education systems. Data sources included reflective journals, IEP documents, personal narratives, and dialogic conversations with critical friends. Using composite narratives and thematic analysis, the …

Exploring Music Representation Learning For Detection Of Finer-Grained Details, Vishnu Pendyala, Samhita Konduri, Kriti Pendyala

Faculty Research, Scholarly, and Creative Activity

The foundational tonic in Indian classical music presents a crucial element for algorithmic understanding. This research investigates the efficacy of modern machine learning techniques for detecting this fine-grained musical attribute from diverse audio representations. Addressing limitations in prior work that used spe-cialized techniques, this study pioneers the integration of audio representations with non-linear dimensionality reduction and machine learning classifiers for tonic classification. The methodology employs various machine learning algorithms on music represented by audio features such as Mel-frequency cepstral coefficients and Mel spectrograms. Spectral analysis using Uniform Manifold Approximation and Projection (UMAP) offers novel insights into music representation learning. The …

Optimization Of Image Quality Of Simulated Multiple Detectors Computed Tomography Acquisition Parameters Using Machine Learning And Catphan Phantom, Ali O. Masoud, Najat K. Mohammed, Khamis O. Amour, Ahmed M. Jusabani, Denise Mwalongo, Mwingereza John Kumwenda

Tanzania Journal of Science

The study successfully employed Monte Carlo (MC) simulation and a Machine Learning (ML) approach using a Random Forest Regression (RFR) model to develop optimized Multi-Detector CT (MDCT) protocols that significantly reduce radiation dose while maintaining diagnostic image quality. The MC engine accurately modeled X-ray spectra, and the RFR model demonstrated high predictive power for key metrics, achieving R2 scores of 0.97 for CTDIvol and over 0.92 for image quality metrics (Noise, CNR). Through multi-objective optimization guided by the RFR, the final protocol (Optimization-3) was found on the Pareto front, achieving a notable 35% dose reduction (from 15.5 mGy to 9.9 …

Note: Greenvent – Revolutionizing Methane Management With Hybrid Energy Processing In Mine Ventilation, Roman J. Jędrzejczyk, Damian K. Chlebda, Jacek Dańczak, Piotr Rosikowski, Monika A. Koperska, Robert E. Hayes, Joseph P. Mmbaga, Robert Hildebrandt, Joanna Profic-Paczkowska

Journal of Sustainable Mining

Methane plays a significant role in intensifying the greenhouse effect, possessing a global warming potential more than twenty times greater than that of CO₂ when measured on a carbon-dioxide-equivalent basis. Hence, identifying efficient methods to mitigate methane emissions is crucial for safeguarding the environment, ensuring economic viability, and maintaining practicality. Globally, research initiatives are dedicated to crafting an effective catalyst system for methane oxidation, which involves developing catalysts, comprehending their characteristics, and determining the best way of bonding them to structural supports to enhance functionality. Notably, systems that incorporate metals from the non-noble d-block of the periodic table as …

Math Appendix, Anwar Shaikh Phd

Archives of Anwar Shaikh

This collection includes:

• Shaikh, A. (n.d.). Mathematical appendix outlining use-value, value, direct prices, prices of production, and the iteration procedure [Unpublished manuscript]. Anwar Shaikh, PhD.

Minimal Supersolution Of Bsdes Driven By Continuous Martingales In A General Filtration, Badr Elmansouri, Mohamed El Otmani

Journal of Stochastic Analysis

In this paper, we study minimal supersolutions of backward stochastic differential equations (BSDEs) driven by a continuous local martingale in a general filtration. We establish existence, uniqueness, and stability results under various mild conditions on the terminal value and the generator. Additionally, we explore the connection between the concept of non-linear expectation and minimal supersolutions, emphasizing the specific properties that are relevant to our framework. We also prove a general monotonic limit theorem and apply this result to determine the smallest constrained supersolution of a BSDE with a possibly non-convex constraint.

Effective Mentoring Strategies For Career Advancement For Mid- And Senior-Level Scientific Professionals In The Biotechnology Industry, Rachel Ayekor Hanson

Walden Dissertations and Doctoral Studies

Leaders of biotechnology organizations struggle to retain and promote experienced scientific professionals, thereby weakening innovation and long-term competitiveness. Biotechnology leaders are concerned about the successful development and retention of mid- and senior-level professionals as they move from technical to leadership roles to improve innovation and long-term competitiveness. Grounded in Kram’s mentoring theory and Ragins’s diversity and inclusion framework, the purpose of this qualitative pragmatic inquiry was to identify and explore mentoring strategies effectively implemented for biotech organization leaders, tailored to mid- and senior-level scientific professionals, to promote career progression and contribute to organizational performance. The participants were six biotechnology leaders …

Inventory Control Model On Matrix Geometric Method For Intermittently Obtainable Server With Balking And Feedback In Markovian Queueing Model, Indumathi P, Kathikeyan K

Baghdad Science Journal

The paper deals with the problem of queueing-inventory system that has uncertain service conditions, and it discusses the contribution of server availability and customer behaviours like balking and feedback that are also added in to the system performance. In real life service and production situations, servers are not always available because of maintenance processes, capacity constraints, or other unforeseen disruptions. In order to simulate such characteristics, the system is modelled in a Markovian context where the interdependency between inventory levels, customer inflows, and server capacity is simulated. The time of customer arrivals is random and the time to serve is …

Optimizing Gamma Radiation Shielding Of Low Bismuth Borate Glass Via Antimony Addition: Optical And Physical Insights, Shaimaa Hafez, Elsayed Salama, Wesam Omar

Basic Science Engineering

This study reports the fabrication and characterization of novel bismuth borate-based glass systems doped with varying concentrations of antimony oxide (Sb₂O₃) for gamma radiation shielding applications. Using the melt-quenching method, the glass systems [0] with x = 0, 1, 3, and 5 mol% were prepared. Density measurements, X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and UV–Vis–NIR spectroscopy were employed to analyze the structural, physical, and optical properties systematically. The results show that increasing Sb₂O₃ content raises the glass density, refractive index, and oxygen packing density, while reducing the molar volume and optical band gap. These changes contribute to forming a …

Algorithmic Opacity In Opioid Risk Scoring And The Need For Transparent Ai Regulation, Sherry Yun Wang, Ryan Stofer, Zhouzhou Chu, Xiao Huang, Ang Li

Pharmacy Faculty Articles and Research

NarxCare®, a proprietary opioid risk scoring system embedded in Prescription Drug Monitoring Programs (PDMPs), has generated significant patient complaints. We adhered to the technical specifications and applied them to PDMP and IQVIA PharMetrics® Plus Closed Health Plan claims database. Despite adding socioeconomic covariates, precision (0.01–0.32) was far below the reported benchmark of 0.75, and F1 scores (0.02–0.39) were also substantially lower than the benchmark value of 0.65, across all our reconstructed models.

A Probabilistic Deep Learning Framework For Retrieving Chlorophyll-A From Hyperspectral Imagery: Integrating Channel Attention And Mixture Density Networks, Wenzhao Li, Surendra Maharjan, Rejoice Thomas, Junde Chen, Hesham Morgan, Michael J. Garay, Olga V. Kalashnikova, Shahryar Fazli, Charles Ichoku, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Accurate monitoring of Chlorophyll-a (Chla) is critical for assessing aquatic ecosystem health, yet ecological complexity often leads to ambiguous spectral signatures in satellite data. Traditional deterministic models assume a one-to-one mapping between spectra and pigments, often failing to capture these high-dimensional analytical challenges. In this study, we propose a novel deep learning architecture, the Channel Attention-Mixture Density Network (CA-MDN), to retrieve Chla from the National Aeronautics and Space Administration (NASA) Earth Surface Mineral Dust Source Investigation (EMIT) hyperspectral mission. The CA-MDN integrates an attention mechanism to dynamically select ecologically relevant spectral bands and employs a probabilistic output layer to quantify …

Academic Senate - Agenda, 02/24/2026, Academic Senate

Academic Senate Agendas

No abstract provided.

Fractional Dynamics And Fixed Point Theorems In Neutrosophic Mr-Metric Spaces With Applications To Network Systems, Abed Al-Rahman M.Malkawi, Ayat M. Rabaiah

Neutrosophic Sets and Systems

No abstract provided.

Science Communication Tools: Rubrics For Generating Posters And Manuscripts That Are Authentic To The Practice Of Science, Tamarah Lynne Adair, Swati Agrawal, Yesmi P. Ahumada-Santos, Regina Alvarez, Kirk Anders, Rebekah F. Hare

Biology Faculty Scholarship

Traditional undergraduate science courses often prioritize content mastery over authentic engagement with the scientific process. Course-based research, also referred to as course-based undergraduate research experiences (CUREs), addresses this limitation by immersing students in authentic scientific practice. In course-based research, assessment practices can also mirror the authentic scientific practice, where extensive formative feedback supports refinement of skills and understanding. Here, we present two rubrics designed to support the teaching and assessment of science communication in a way that reflects how scientists prepare to disseminate their research findings. One rubric is for creating scientific posters and another for writing short-format manuscripts. Developed …

Neutrosophic Exponential Ratio-Type Estimator For Finite Population Mean In Stratified Sampling, Anisha Taneja, Sachin Malik, Prem Shankar Jha

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Extension Of Maxwell Length-Biased Distribution And Its Application In Energy Sector, Afrah Al Bossly, Zahid Khan

Neutrosophic Sets and Systems

No abstract provided.

Challenges And Supports Of Principals’ Implementation Of Social-Emotional Learning, Nikomar Mosley

Walden Dissertations and Doctoral Studies

School districts throughout the United States are increasingly implementing social and emotional learning (SEL). The problem addressed in this study is that K-12 principals are struggling with the mandated implementation of SEL at Northeastern School District (NSD), a large, diverse urban school district. Guided by the collaborative for academic, social, and emotional learning competency and implementation frameworks, the purpose of this qualitative study was to explore K-12 principals’ experiences with the mandated implementation of SEL at NSD. For this basic qualitative study, semistructured interviews were conducted with 10 principals. Through thematic analysis, the following themes emerged: (a) SEL is not …

Directed Neutrosophic Graph Using Morphological Operators And Its Applications, Abraham Jacob, Ramkumar P. B., Dhanya P. M

Neutrosophic Sets and Systems

No abstract provided.

Stable Neutrosophic Crisp Open Modulo Stable Neutrosophic Crisp Nowhere Dense Sets, Ali Younis Shakir, Thulfiq F. Aalamery, L. A. A.Jabar

Neutrosophic Sets and Systems

No abstract provided.

Enhancing Decision Making With Interval - Valued Refined Neutrosophic Hesitant Fuzzy Sets, Iswariya S, Sahaya Sudha A

Neutrosophic Sets and Systems

No abstract provided.