Digital Commons Network^™

German Reddit Sentiment Analysis Using Bert And Ml Techniques, Bledi Buduri

UBT International Conference

This study presents a comprehensive workflow for collecting, preprocessing, and analyzing German-language comments from Reddit for sentiment analysis. Initially, a Pythonbased scraper using the Reddit API was developed to extract topic-specific comments, which were then cleaned by removing special characters, links, and irrelevant tokens. The dataset underwent tokenization, stopword removal, and normalization using stemming and lemmatization to produce a structured corpus suitable for machine learning tasks.Sentiment classification was performed using the German BERT model (oliverguhr/german-sentimentbert), categorizing comments as positive, negative, or neutral. To further evaluate performance, vectorization techniques such as Bag-of-Words and TF-IDF were applied, followed by machine learning classifiers …

The Use Of Artificial Intelligence In Medicine: Benefits And Risks, Aurela Gashi, Faton Kabashi, Vehebi Sofiu, Mirlinda Selimaj, Laura Gjikokaj

UBT International Conference

Artificial Intelligence (AI) is increasingly transforming the field of medicine by enabling rapid and precise diagnosis, personalized therapies, and advanced data management. From interpreting complex medical images to predicting chronic disease risks and tailoring treatments for individual patients, AI demonstrates unprecedented potential to enhance healthcare outcomes. However, alongside these opportunities emerge critical challenges and risks. Biased training datasets may lead to inaccurate diagnoses, while concerns over data privacy and ethical responsibility raise fundamental questions about the limits of automation in healthcare. This paper emphasizes that the integration of AI should not aim to replace physicians but rather to support them, …

Online Cyber-Physical Neural Network Model For Real-Time Hybrid Simulation, Faisal Nissar Malik, Liang Cao, James Ricles, Austin Downey

Faculty Publications

Real-time hybrid simulation (RTHS) is an experimental testing methodology that divides a structural system into an analyticaland an experimental substructure. The analytical substructure is modeled numerically, and the experimental substructure ismodeled physically in the laboratory. The two substructures are kinematically linked together at their interface degrees of freedom,and the coupled equations of motion are solved in real-time to obtain the response of the complete system. A key challenge inapplying RTHS to large or complex structures is the limited availability of physical devices, which makes it difficult to representall required experimental components simultaneously. The present study addresses this challenge by introducing …

An Experimental Study On The Breakthrough Pressure Of Different Co2 Phases Against Cap Rocks For Carbon Storage In Saline Aquifers, Dan Wendong, Li Yi, Wang Fugang, Hu Zhikai, Diao Yujie, Ma Xin, Liu Ting

Coal Geology & Exploration

Objective CO₂ breakthrough pressure, a core parameter for characterizing the sealing performance of saline aquifers as cap rocks, holds important scientific significance and application value for ensuring the safety of CO₂ geological storage engineering and assessing its storage potential. However, there is a lack of systematic studies on the variation patterns and mechanisms of breakthrough pressure under different occurrence phases of CO₂ (supercritical, liquid, and gaseous) currently. Accordingly, universal and reliable conclusions are yet to be reached. Methods This study conducted experiments on a natural low-permeability unsaturated sandstone core. Using the step-by-step method, 13 groups of breakthrough …

Links Of Intensification Chemical Weathering And Nickel Enrichment With Volcanism In The North China Plate Around The Permian-Triassic Boundary, Wang Ye, Ye Chengzhuo, Zhang Tong, Yang Minfang, Zhou Kai, Zhang Peixin, Yang Yuzhu, Zhang Chu, Lu Jing

Coal Geology & Exploration

Objective The North China Plate serves as a pivotal region for deciphering the mechanisms underlying the links of volcanism and paleoenvironmental-climatic upheavals around the Permian-Triassic Boundary (PTB). The dramatic environmental perturbations during this period are closely linked to large-scale volcanic eruptions of the Siberian Traps Large Igneous Province (STLIP). These eruptions triggered global warming, extreme chemical weathering events, and mass extinctions, marking a significant turning point in the evolution of the Earth system.Methods This study investigated the Sunjiagou and Liujiagou formations in the WY-U-01H borehole in the Qinshui Basin, North China Plate. Using the chemical index of alteration (CIA), …

Global Representative Metallogenic Models And Geophysical Exploration Methods Of Sylvite: Current Research Status And Prospects, Qu Ping, Yue Hangyu, Huang Xiaobing, Song Jiong

Coal Geology & Exploration

Background Sylvite serves as a strategic mineral resource that plays a significant role in ensuring food safety and sustainable agricultural development, with approximately 90% of global potash resources used for potassium fertilizer production. However, developing countries such as China have long faced the challenges of heavy dependence on potash imports and insufficient potash resource continuity. Such a supply and demand framework causes China to speed up research on potash metallogenic patterns and technical innovations in potash exploration. This will help overcome resource bottlenecks. Objective This study presented a systematic summary of global potash metallogenic models and investigated the approaches of …

14th International Conference On Business, Technology And Innovation 2025, University For Business And Technology - Ubt

UBT International Conference

Welcome to IC – UBT 2025

UBT Annual International Conference is the 14th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make …

Visible Image-Based Machine Learning For Identifying Abiotic Stress In Sugar Beet Crops, Seyed Reza Haddadi, Masoumeh Hashemi, Richard C. Peralta, Masoud Soltani

Plants, Soils and Climate Student Research

Previous researches have proved that the synchronized use of inexpensive RGB images, image processing, and machine learning (ML) can accurately identify crop stress. Four Machine Learning Image Modules (MLIMs) were developed to enable the rapid and cost-effective identification of sugar beet stresses caused by water and/or nitrogen deficiencies. RGB images representing stressed and non-stressed crops were used in the analysis. To improve robustness, data augmentation was applied, generating six variations on each image and expanding the dataset from 150 to 900 images for training and testing. Each MLIM was trained and tested using 54 combinations derived from nine canopy and …

Ai-Assisted Spectral Fingerprinting Of Mg-Doped Zno Tracer Phosphors: Tuning Photoluminescence Emission And Investigating Lifetime Via Sol-Gel Synthesis Parameters, Thomas M. Brandte

USF Tampa Graduate Theses and Dissertations

Plastic sorting remains a major driver of recycling costs, and existing infrared (IR) optical identification systems cannot determine material prominence or quality, nor reliably identify dark polymers [1]. This work explores a PVA-stabilized sol–gel and thermal synthesis route for magnesium-doped zinc oxide (Mg:ZnO) as a tunable photoluminescent tracer phosphor.

Lattice-defect control forms the foundation of phosphorescent emission tuning, enabling unique spectral fingerprints to be generated based on synthesis parameters—Mg molar ratio (Mg%), PVA mass (g), and calcination temperature (°C). Photoluminescence (PL) spectra (400–850 nm) were analyzed using Gaussian peak fitting and principal component analysis (PCA), reducing hundreds of spectral features …

Design And Implementation Of A Cross-Platform, Modular Electronic-Nose System, Kaushika Rudraraju

USF Tampa Graduate Theses and Dissertations

Electronic noses (e-noses) are a subject of great research. They are useful in multiple platforms and serve a great purpose in both studies and safety. This thesis presents a portable, modular e-nose platform that spans the full pipeline from sensing to visualization, with emphasis on scalability, repeatability, and straightforward integration. The hardware is organized as swappable sensor modules each hosting multiple commercial sensors and local signal-conditioning networked to a master microcontroller via structured communication protocols. High-resolution acquisition, time alignment, and efficient streaming to a host enable reliable logging and analysis. A controlled exposure chamber and a repeatable sampling protocol (baseline-exposure-purge …

A New Low-Rate Stable Hydrogel Cathode For Aqueous Zn-Ion Batteries, Roya Rajabi, Shichen Sun, Jamil A. Khan, Morgan Stefik, Kevin Huang

Faculty Publications

Aqueous Zn-ion batteries (ZIBs) are attractive candidates for large-scale energy storage owing to the abundance, low cost, and intrinsic safety of Zn metal. However, their practical application is hindered by poor cycle stability, especially at low current densities, due to cathode dissolution and limited electrochemically active sites (EAS). Herein, a hydrogel-based cathode comprising ammonium vanadate, carbon black, and a Zn-ion-conducting carboxymethyl chitosan–acrylamide hydrogel matrix doped with Zn(ClO4)2 is reported. This design establishes a continuous Zn-ion-conducting network, thereby maximizing EAS density throughout the electrode volume. The ZIB with the hydrogel cathode exhibits outstanding cycling stability, with 77% capacity retention after 2000 …

Atomistic Insights Into Dual Mechanisms For Nacl-Driven Dissolution And Polymerization Of Tricalcium Silicate, Wei Zhang, Jia Sun, Juntao Dang, Bo Tao Huang, Biqin Dong, Hongyan Ma, Dongshuai Hou

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In this study, experimental characterization and reactive molecular dynamics simulations were integrated to reveal the effects of NaCl on the early hydration of tricalcium silicate (C3S). The results demonstrate that NaCl significantly accelerates the early hydration of C3S by promoting Ca dissolution and silicate tetrahedra polymerization. Specifically, Cl^–ions coordinate with surface Ca, weakening the Ca–O bonds in C3S and reducing the energy barrier for Ca dissolution. Meanwhile, Na⁺ions compete with Ca²⁺for the O atoms, creating localized charge imbalance and attracting protons, which destabilize Si–O bonds and facilitate the polymerization of silicate tetrahedra. These effects …

Vertical Sorting Of Bed Material In Gravel-Bed Streams-- Insights From Long-Term Observations In East Creek, British Columbia, Marwan A. Hassan, Tianqi Xing, Conor Mcdowell, Kevin J. Pierce, Mike Turley, Sol Leader-Cole, Enrica Viparelli

Faculty Publications

The vertical sorting of streambed grains is a key control on river channel stability and sediment transport rates. In this study, we report on burial depths and mobility characteristics of coarse sediment in a small gravel-bed stream using an extensive data set of nearly 1,500 magnetically tagged tracer grains, deployed and annually surveyed between 2004 and 2018. We observe that sediment burial correlates with grain size and event magnitude, and we identify correlations between the burial depths of coarse grains and their mobility, residence time, and travel distance characteristics. A particularly large event in 2007 produced significant vertical sorting which …

Evaluating Platinum, Gold, Glassy Carbon, And Graphite Anodes For Chlorine Evolution In Molten Calcium Chloride Salt, Cameron Vann, Shelssie Klvacek, Carlos Mejia, Devin Rappleye

Faculty Publications

The chlorine evolution reaction (CER) in molten CaCl₂ plays a critical role in high-temperature electrochemical processes, including chlorination, metal refining, and used nuclear fuel treatment. This study evaluates the performance of gold (Au), platinum (Pt), glassy carbon (GC), and graphite anodes for the CER under consistent electrochemical conditions. Anode performance was assessed based on chlorine (Cl₂) gas evolution, material robustness, and kinetic parameters. Cl₂ generation was directly confirmed using quadrupole mass spectrometry for Pt, GC, and graphite anodes. GC and graphite demonstrated stable and sustained CER activity. Pt and Au were shown to have significant mass …

Reliability Targeted Snow Loads And Winter Wind Parameters For Locations Outside Of The Conterminous United States, Brennan L. Bean, Nicholas Brimhall, Bikram Bhusal, Marc Maguire, Maha Moussa

Browse all Datasets

The national building standard ASCE 7 moved to reliability-targeted snow loads (RTSLs) in the 2022 version. This necessitates the development of RTSLs for international locations. This repository contains the data and code needed to produce RTSLs and Winter Wind Parameters for locations outside of the Conterminous United States (OCONUS). It relies on annual maximum snow loads provided in a separate data release (see Brimhall et al. 2025).

Structural And Biological Properties Of Chitosan/Copper Polymetallic Complexes Synthesized From Apis Mellifera-Derved Chitosan, Dilnoza Sohibovna Isomitdinova, Gulnora Akmalovna Ikhtiyarova, Nazira Madusmanovna Kuchkarbayeva, Nafisa Akhrorovna Ergasheva

Technical science and innovation

In this study, a chitosan/copper (Ch/Cu²⁺) polymetallic complex was synthesized from chitosan obtained by the cryogenic method from Apis mellifera bees. The structural and physicochemical properties of the complex were investigated using FTIR, UV-Vis, XRD, TGA, and DLS analyses. FTIR spectra showed shifts in absorption bands at 1400-1339 cm⁻¹ and 1640-1550 cm⁻¹, confirming the coordination of Cu²⁺ ions with amino and hydroxyl groups. UV-Vis spectra revealed absorption peaks in the 410-540 nm range, while XRD analysis indicated new crystalline peaks at 2θ = 24°, 27°, and 37°. Thermal analysis demonstrated high thermal stability of the complex, and DLS confirmed a …

Investigation Of Technological Processes In Laboratory Conditions For The Elimination Of Well Flooding, Tolib Olimovich Komilov

Technical science and innovation

Currently, the main priority task in the world in the field of drilling is the isolation of water flows and levitation of well flooding in order to improve the technical and economic indicators of drilling and well operation. The article considers the process of eliminating well complications, which is considered an important process in particular when choosing cement slurries and the main methods for determining their physical and mechanical properties. In creating an experimental stand, computer and information technologies were used that provide automation, control, analysis of data and decision-making using computer commands when conducting an experimental study on the …

The Method Of Power Networks Mode Optimization In Basis Of Genetic Algorithm, Tulkin Shernazarovich Gayibov, Gulnaz Makhmutovna Turmanova

Technical science and innovation

One of the main tasks solved in planning short-term and managing operational modes of electric power systems (EPS) is the optimization of their network modes on the adjustable parameters. For modern complex EPS, this task is often characterized by the multi-extremality of the objective function, the appearance of discontinuous functions, the presence of initial information of a probabilistic and partially uncertain nature. In such conditions, solving the problem by traditional algorithms using mainly linear and nonlinear programming methods, Lagrange, gradient, etc., is associated with a number of difficulties in simplifying them and bringing them to a convenient form for calculations. …

Structure And Principle Of Operation Of The Vibrational Pressing And Dehydration Unit For Semi-Soft Cheese, Qobiljon Akmal Ugl Muxiddinov, Shakhnoza Abduvaxitovna Sultanova, Azamat Bakir Ugli Usenov

Technical science and innovation

This paper investigates the structural design and operational principles of a vibrational pressing and dehydration unit developed for semi – soft cheese production. The equipment is engineered to optimize whey expulsion and moisture uniformity in curd blocks by combining mechanical pressure with controlled vibration. The unit comprises a stainless – steel vibrating chamber, drainage plates with micro – perforations, and an adjustable frequency–amplitude control system. Vibrations in the range of 20–60 Hz are applied during pressing, promoting more efficient capillary flow and enhancing the separation of whey from curd particles. The process ensures uniform density and texture across the cheese …

Exploring The World Of Medical Exoskeleton Robots: A Classification Guide, Javlonbek Rakhmatillaev, Vytautas Bučinskas

Technical science and innovation

This article describes the classification of exoskeletons. This classification is based on the use of exoskeletons in the medical field, shape, power source, generation, parts related to the human body, structural material, and control forms based on sensor and actuator devices. In addition, examples of each category are given. The main goal is to comprehensively evaluate medical exoskeletons, pay special attention to their functions and goals, conduct scientific research, and further develop these devices. As a result, a completely new type of classification of medical exoskeletons was developed. The developed new type of classification serves as an important guide in …

Measures To Improve The Structure And Operating Principle Of Perovsite Light-Emitting Devices, Latofat Utkir Qizi Shuhratova, Rustam Rashidovich Kabulov, Farrux Anvar Ugli Akbarov, Anvar Akbarovich Alimov

Technical science and innovation

Since the discovery of the unique properties of perovskite materials, these materials have been used as active layers in various optoelectronic devices. In particular, perovskite-based light-emitting diodes (LEDs) have attracted the attention of many researchers as a highly efficient and versatile technology for lighting and display devices. Perovskite-based LEDs allow for tunable light emission and can be manufactured at low cost and with flexible fabrication technology. These advantages make them suitable for use in devices ranging from modern displays to wearable electronics. Despite their potential, solving problems such as material stability and industrial scale is one of the current challenges …

Study Of Physical And Mechanical Properties Of Composite Materials Obtained From Wood Industry Waste, Adkhamjon Rustamovich Makhkamov, Samandarbek Kahramonjon Ugli Sodikjonov, Yorqinjon Tulqin O'G'Li Ergashev, Elmurod Abdukodirovich Egamberdiev, Volodymyr V. Tkach

Technical science and innovation

This study looks at the serious problem of plastic waste causing pollution around the world. It focuses on how little polystyrene foam gets recycled. As a better option, the study checks out making and describing composite stuff made from wood waste, like poplar and paulownia sawdust. These natural fillings have cellulose, hemicellulose, and lignin, which let them stick well to plastic polymers like polyethylene (PE), polypropylene (PP), and polyvinyl chloride (PVC).

The composite materials were made using hot pressing. They were tested to see how dense, hard, strong, and impact-resistant they were, using GOST standards. The tests showed that adding …

Monitoring Slope Displacements At The Kalmakyr Open-Pit Mine Using Gnss And Gamit/Globk Processing, Aziz Nigmanovich Kazakov, Dilbarkhon Hamuradovna Fazilova, Nursulton Abdulmajit Ugli Khamitov

Technical science and innovation

The article presents a monitoring system based on the Global Navigation Satellite System (GNSS) for assessing deformations in mining areas. The study was conducted at the Kalmakyr open-pit mine, where a network of seven GNSS stations was installed in the most geologically vulnerable zones. Four static measurement cycles were carried out between 2024 and 2025. High-frequency 3D data were processed using the GAMIT/GLOBK software. The analysis showed that displacements in active areas reached 68 mm horizontally and 31 mm vertically.

Improvement Of Ultrasonic-Convective Equipment And Beetroot (Beta Vulgaris L.) Drying Process, Jasur Esirgapovich Safarov, Shakhnoza Abduvaxitovna Sultanova, R. M. Najafli

Technical science and innovation

In the world, the air-dried food market is seeing rapid expansion, valued at USD 103.26 billion in 2021, out of which the Asia Pacific region consumed the maximum amount. The freeze-dried vegetable and fruit market is predicted to reach USD 132.7 billion by 2027. Processed vegetables are also exported to a large extent from India. Uzbekistan recorded excellent development in agriculture in 2024, with record harvests, better yields, and use of advanced machinery. Azerbaijan also demonstrated good agriculture growth and export performance. Beetroot has now been identified as a functional food containing bioactive compounds like betaines and dietary fiber that …

Optimization Of Drilling And Blasting Parameters Taking Into Account The Physical And Mechanical Properties Of Rocks And Characteristics Of Blast Load, Shuhratulla Atoevich Ochilov

Technical science and innovation

This article provides a detailed study of the physical and mechanical processes occurring during explosive crushing of rocks, with a special emphasis on the formation of cracks and changes in the granulometric composition of the massif. The main attention is paid to the influence of the blast loading parameters - the specific consumption of explosives (BC), charge diameter and line of least resistance (LLR) - on the average size and distribution of rock pieces. The distribution of the explosion energy for crushing, heat losses, seismic and impact effects, as well as the role of the energy transfer coefficient, depending on …

Methodology For Creating An Intelligent Mechatron Module Based On A Synergistic Approach, Nurbek Rustamovich Matyokubov, Temurbek Omonboyevich Rakhimov

Technical science and innovation

This article is devoted to the methodology of creating an intelligent mechatron module based on a synergistic approach. Creating a multi-coordinate intelligent mechatron module and expanding the functional capabilities of the controlled object based on them, allows to optimize the dynamic characteristics. Also, the methodology for creating an intelligent mechatronic module based on a synergistic approach allows for the integration of electrical, magnetic, and mechanical components into a single circuit, the integration of technical parameter modification, and the integration of processing functions into a single information-measuring module. In addition, the article proposes a Eurorhythm scheme for expressing how …

Development And Justification Of The Structurally-Free Rod Design For Composite Spindles Of Vertical-Spindle Cotton Picking Machines, Nortoji Baratovich Baratov

Technical science and innovation

At present, the light industry constitutes a significant share of the economies of leading countries around the world. Notably, the cotton industry holds a prominent position within the light industry sector. The cultivation of cotton fiber and the harvesting of mature crops without compromising fiber quality represent complex and delicate processes. In order to carry out these operations rapidly and efficiently, various cotton harvesting machines have been developed based on projects proposed by numerous researchers. Among these, the vertical spindle cotton picker is recognized as one of the earliest machines created for this purpose. Since its invention, the vertical spindle …

A Comprehensive Assessment And Benchmark Studyof Large Atomistic Foundation Models For Phonons, Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al-Fahdi, Lingyu Kong, Victor Fung, Ming Hu

Faculty Publications

The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces. While their capability for modeling phonon properties is emerging, systematic benchmarking across chemically diverse systems remains limited. We evaluate six recent uMLPs—EquiformerV2, MatterSim, MACE, and CHGNet—on 2429 crystalline materials from the Open Quantum Materials Database. Models were used to compute atomic forces in displaced supercells, derive interatomic force constants (IFCs), and predict phonon properties including lattice thermal conductivity (LTC), compared with density functional theory and experimental data. The EquiformerV2 pretrained model trained on the OMat24 dataset exhibits strong …

Scalable Biosynthesis And Recovery Of Poly-3-Hydroxybutyrate Produced From Cotton-Derived Glucose By Cupriavidus Necator, Ashley M. Clark, Lucia E. Gargano, Gabriella M. Fioravanti, Hannah M. Schapiro, Ron G. Kander

School of Design and Engineering Papers

To combat the growing issue of petroleum plastic waste, alternative bio-based polymers are being developed. Many of these biopolymers are made from bio-derived materials, or are biodegradable, but the most promising polymers fall in both categories. Polyhydroxyalkanoates (PHAs) are one such class of polymers, and poly-3-hydroxybutyrate (P3HB), the most popular PHA, has shown great potential. This study utilized two types of cotton-derived glucose, alongside commercial glucose, as a feedstock for the biosynthesis of P3HB by Cupriavidus necator (also known as Ralstonia eutropha). The fermentation took place in a 2-L bioreactor, showing potential for scale-up. A single-solvent extraction method was …

Manufacturing Of Origami-Inspired Mechanisms Via Sheet Lamination, Tyler R. Stevens

Theses and Dissertations

Origami-inspired mechanisms combine compact, lightweight, reconfig- urable devices, yet despite decades of growth in origami theory, industrial uptake remains limited. As a result, origami predominately appears as prototypes or in low-volume, bespoke applications. Manufacturing (which has received little development) remains the chief bottleneck: most origami fabrication routes are still under-explored, labor-intensive, and fundamentally unsuited to scale. This dissertation addresses that barrier by establishing a process-centric framework for origami manufacturing and demonstrates fabrication workflows capable of transitioning designs from prototypes to production. A survey of more than 180 publications on origami manufacturing approaches yields a manufacturing-oriented taxonomy that links each surrogate …