Digital Commons Network^™

Elemental And Mineralogical Characterization Of Permo-Carboniferous Coal In The Ngaka Coalfield, Southwest Tanzania: Implications For Coal Quality Variation, John W. Gama, Justina J. Saroni, Remigius L. Gama

Tanzania Journal of Science

Coal from heterolithic seams exhibits distinct chemical characteristics due to interbedded non-coal beds, which influence its quality and usability. Despite extensive research in these settings, the elemental and mineralogical characteristics of the heterolithic sequences of the Mchuchuma Formation (K2) in the Ngaka Coalfield remain poorly documented. This study provides the first detailed assessment of K2 seams across five active mine sites. Eleven representative samples were analyzed using proximate, elemental, and mineralogical techniques, supported by Pearson correlation, binary analysis, and Principal Component Analysis. Proximate analysis revealed that ash content varies across mine sites, with values ranging from 9.17 to 25.03%, volatile …

Dual History Enhancement With Hybrid Hypergraph-Graph Networks For Temporal Knowledge Graph Reasoning, Kailun Ye, Xiangjie Kong, Yuchao Zhang, Xuan Wang, Linan Zhu, Jiaxin Du, Guojiang Shen, Jianxin Li

Research outputs 2022 to 2026

Temporal Knowledge Graph (TKG) reasoning seeks to predict future events by analyzing historical data, where the effective leverage of both local and global historical facts proves crucial. Existing approaches employ graph neural networks (GNNs) and recurrent neural networks (RNNs) for local evolution patterns, complemented by statistical methods to enhance attention to global facts, demonstrating efficient predictive capabilities. However, traditional GNNs, constrained by their low-order neighborhood aggregation design, inherently fail to model potential high-order dependencies among facts. Furthermore, existing global history modeling approaches may introduce irrelevant historical information that interferes with prediction tasks. To address these limitations, we propose a Dual …

Analysis Of Soda Production Processes In Ammonia-Soda Production, Nadirbek Rustambekovich Yusupbekov Professor, Djalolitdin Paxritdinovich Mukhitdinov Professor, Fatima Faxritdinovna Iskhakova

Technical science and innovation

This paper provides a comprehensive analysis of the fundamental principles of the classical Solvay process, a key component in the industrial production of soda ash. It is noted that despite its widespread use and technological maturity, the process has a number of significant technological, energy, and environmental limitations associated with high raw material and energy consumption, the generation of significant industrial waste, and CO₂ emissions. The need to modernize the traditional production process to improve efficiency, resource conservation, and environmental sustainability is substantiated. The review systematically summarizes current approaches to process improvement, including modified versions of the Solvay process, the …

Impact Of Compositing Method Choice On Spectral Fidelity In Semi-Arid Mining Landscapes, Ruslan Nailevich Khadzhaev, Dilbarkhon Shamuradovna Fazilova

Technical science and innovation

This study examines the choice of satellite image compositing method for Landsat 8/9 (Collection 2 Level-2) imagery to calculate the Normalised Difference Vegetation Index (NDVI). This paper compares the methods used to create median and medoid composites for the Angren open pit coal mine. The 'synthetic' nature of the composites is quantified based on a spectral consistency metric. This involves assessing the equivalence of median and medoid values, and analysing the sensitivity of NDVI to the compositing method across varying surface types. A strongly right-skewed distribution of surface reflectance values was found, covering 82.8% of the pixels, mostly in areas …

Analysis Of Automatic Regulation Based On The Dynamic Indicators Of The Working Body For Cleaning Channels And Ditches, Nasiba Siraj Amirbayova

Technical science and innovation

Today, the comprehensive development of road infrastructure and agriculture directly requires the reconstruction and effective use of systems intended for irrigation and protection of road surfaces. The goal of agricultural development has made it necessary to increase attention to this area. This also reveals the correct use and operation of existing melioration irrigation systems as an important problem. This is mainly one of the issues of correct operation of road infrastructure. It is known that the majority of agricultural products are produced in areas where irrigation systems are widely developed. On the other hand, the use of collector-drainage networks, cleaning …

Analysis And Study Of Telemetry Systems For Directional And Horizontal Well Drilling, Jahongir Abdiganiyev Erkin Ugli, Sherali Halloqovich Umedov

Technical science and innovation

The article discusses the issues of reducing non-productive drilling time during the construction of directional and horizontal wells. The main focus is on the analysis of drilling conditions in complex geological and high-temperature environments. Particular attention is paid to drilling conditions in the territory of the Republic of Uzbekistan, with a specific study of data from the Boysun and Ustyurt regions. An analysis and study of the performance of telemetry systems available on the market, as well as their main technical characteristics, have been conducted. Key factors affecting the accuracy of wellbore trajectory measurements under various geological and technical conditions …

Mathematical Modelling And Optimisation Of The Reactor For The Esterification Process Of Safflower Oil With N-Butyl Alcohol, Sadritdin Makhamatdinovich Turabdjanov Academician, Hasan Sadriddin Ugli Fozilov, Ozoda Bakhronovna Axmedova, Sadriddin Fayzullayevich Fozilov

Technical science and innovation

This study addresses the mathematical modelling and optimisation of a reactor for the esterification of safflower oil with n-butyl alcohol. To improve process controllability and reduce the need for numerous pilot-scale trials, an ideal-mixing continuous stirred-tank reactor (CSTR) model was adopted. Incorporating reaction kinetics, the effect of contact time on the relative viscosity of the product mixture was analysed. The modelling results indicate that achieving an acceptable degree of feedstock conversion is difficult when a single ideal-mixing reactor is used. Therefore, a CSTR cascade was proposed, and the configuration with N = 2 reactors was selected as the most appropriate …

Adaptive Multi-Stage Fuzzy Logic Approach With Dynamic Weight Adjustment For Robust Power Transformer Diagnostics, Dilafruz Rustamovna Abdullabekova, Odiljon Muhammadjonovich Kutbidinov

Technical science and innovation

An adaptive multi-level fuzzy logic framework with dynamic weight adjustment for power transformer fault diagnosis and health index assessment was proposed in this study. A comprehensive analysis of existing transformer diagnostic approaches was performed, and their limitations related to static weighting schemes and uncertainty handling were identified. A hierarchical fuzzy inference structure was introduced, integrating multi-source diagnostic data, including dissolved gas analysis, transformer oil quality indicators, thermal parameters, and electrical measurements. At the first level, individual fuzzy subsystems were developed to evaluate partial condition indices associated with insulation degradation, oil aging, and thermal–electrical stress. At the second level, a global …

Refinement Of Wind Speed Estimation At Turbine Hub Height Using Satellite Data And Regression Analysis Under Complex Terrain Conditions, Isroil Abriyevich Yuldoshev, Tulqin Rustamovich Jamolov, Sa'dullo Sayfiddin Ugli Fazliddinov, Jumanazar Farhodjon OʻGʻL Abdurashidov

Technical science and innovation

Reliable assessment of wind energy potential in regions characterized by complex terrain is often constrained by the limited availability of ground-based meteorological measurements. This study proposes an improved regression-based approach for refining wind speed estimates at the wind turbine hub height of 65 m using satellite-derived data from the NASA POWER database combined with a logarithmic vertical wind profile. The proposed methodology is validated using real operational data from a 750 kW wind power plant located in the mountainous Bostanlyk district of Uzbekistan for the period 2018–2021. The regression analysis demonstrates a strong linear relationship between the extrapolated wind speed …

Manufacturing Of Functional Surface Coatings In The Automotive Industry, Gulirano Saidakhmedova

Technical science and innovation

The development of environmentally sustainable technologies for material processing represents one of the most pressing scientific and technical challenges in modern industrial production. This issue is particularly relevant to the automotive industry, where growing demands for energy efficiency, durability, and environmental safety necessitate the adoption of advanced manufacturing methods. Special attention is given to developing vacuum-based, import-substituting equipment and technologies for producing functional coatings from composite materials with predefined physical, mechanical, and optical properties, including reflective and protective characteristics. Current requirements for mechanical engineering products and production technologies drive the need for innovative approaches to material processing and specialized technical …

Movable Bed Physical Model Investigation Of Bed Level Changes Caused By River Sediment Diversions, Hayden Cole Franklin

LSU Master's Theses

Since 1932, due to human and natural processes, over 2,000 square miles of Louisiana’s coast have been lost. River sediment diversions have been proposed as sustainable options to combat land loss. These projects, like the proposed Mid-Barataria Sediment Diversion, are designed to deliver sediment-rich Mississippi River water into nearby bays and estuaries, helping build and maintain land. However, river sediment diversions may alter river hydraulics and sediment transport, potentially inducing upstream degradation and downstream aggradation. Using the Lower Mississippi River Physical Model (LMRPM), this study quantitatively analyzed bed level changes as well as hydraulic conditions associated with the proposed Mid-Barataria …

The Correlation Between Syntactic Knowledge And Reading Comprehension, Novita Pratiwi

Jurnal Pendidikan Humaniora

This study aimed to find out the precise degree of relationship between syntactic knowledge (represented by grammar scores) and reading comprehension within EPT context. The data collected were in form of examinees' individual scores of EPT taken from two language institutes. The data representing 160 examinees were divided into two sets of scores: grammar and reading. Utilizing statistical analysis software, the researcher analyzed the data using Pearson's correlation coefficient. The result shows that syntactic knowledge and reading comprehension have strong positive correlation. It indicates that examinees' grammar scores might predict their reading scores within EPT.

Empowering Teacher In Utilizing Ict-Based Media Through In-House Training (Iht) To Improve Learning Quality, Ika Tyasing Kusumawati, Bambang Ismanto, Ade Iriani

Jurnal Pendidikan Humaniora

This paper aims at discussing the attempt to improve the quality of learning by empoering teachers in utilizing ICT-based instructional media through in-house training.

Integrating Reciprocal Teaching And Edmodo To Improve The Students' Reading Comprehension For Eleventh Graders, Marko Wibisono, Franciska Maria Ivone, Enny Irawati

Jurnal Pendidikan Humaniora

The purpose of this collaborative classroom action research was to improve the students' reading comprehension in analytical exposition text.

The Fact Of Learning Economics At National University Of Laos During The Pandemics Covid-19 In Lao Pdr, Phousith Phongsavath, Agus Hermawan, Imam Mukhlis

Jurnal Pendidikan Humaniora

The out-breaking of Pandemics Covid-19 which is affected to many countries and regions in the world in the term of education. This study uses a qualitative approach which is the type of research is Phenomenology (case study). This type of phenomenological research is used due to it is oriented to the topic of teaching-learning economics course of teachers and students in National University of Laos. The determination of this research subject with the Snowball Sampling technique and the data collection techniques with in-depth interview and documentation. The finding results of this research found that learning economics in National University of …

The Effectiveness Of Interactive Multimedia To Increase Learning Outcomes Of Deaf Students In Elementary School Level: A Literature Study, Putri Kartika Ningsih, Mohammad Efendi, Ediyanto Ediyanto, Asep Sunandar

Jurnal Pendidikan Humaniora

Salah satu konsekuensi dari hambatan kemampuan pendengaran anak tunarungu adalah kesulitan menerima dan memahami materi pembelajaran verbal atau audio. Penelitian ini dilakukan untuk mengetahui efektivitas pengembangan multimedia interaktif yang dapat berpengaruh positif terhadap hasil belajar siswa tunarungu di tingkat sekolah dasar melalui studi literatur Google Scholar (2015-2021).

Pengaruh Model Discovery Learning Berwahana Schoology Terhadap Kemampuan Berpikir Kritis Ditinjau Dari Kecerdasan Visual Spasial, Lathifah Dewi Humairo, Budi Handoyo, Syamsul Bachri

Jurnal Pendidikan Humaniora

Pembelajaran geografi saat ini belum mampu mengembangkan kemampuan berpikir kritis siswa. Kemampuan berpikir kritis dapat dicapai melalui pembelajaran yang digunakan. Penelitian ini bertujuan untuk mengetahui pengaruh discovery learning berwahana schoology terhadap kemampuan berpikir kritis ditinjau dari kecerdasan visual spasial siswa.

Physical Education Graduates Prospect In Wetland Area, Sunarno Basuki

Jurnal Pendidikan Humaniora

As a university located in wetland are, Lambung Mangkurat University must adapt with the surrounding geographical area to prepare prospective graduates that meets the current local demands. This paper seeks to explore the prospect of Physcial Educatioan Graduates in wetland areas. This paper was a descriptive research which examined the current development of Physical Education to meet the demand of wetland area. This paper showed that some efforts must be performed to improve the graduates of Physical Education Department. The efforts that must be made including: the preparation of professional faculty members, suitable and contextualized curriculum, supporting facilities and infrastructure, …

Hear Our Voices: Pre-Service English Teachers’ Challenges And Expectations During Teaching Practice, Dwi Yumna Abdullah, Yazid Basthomi

Jurnal Pendidikan Humaniora

Teaching practicum is one of the most fundamental and crucial stages in the teacher preparation program. The pre-service teacher readiness can be developed to become a qualified future teacher. This descriptive qualitative study is aimed to find the challenges and expectations of pre-service English teachers, mentor teachers, university supervisor, and the head of the teaching practice program. The findings indicated that pre-service teachers are challenged to improve their classroom management, strategies, and methods of teaching. The pre-service teachers, mentor teachers, and university supervisor are expected to gain benefits and successful school-university partnership.

Self-Efficacy And Self-Directed Learning Profiles Of High- Achieving Students, Rahmita Budiartiningsih, Evi Suryawati, Syarifah Nur Siregar, Geovani Meiwanda

Jurnal Pendidikan Humaniora

This study aimed to explore the profiles of Self-Efficacy (SE) and Self-Directed Learning (SDL) among students at Universitas Riau, providing insights into their potential for academic and non-academic achievement. The findings indicate that 31% of the outstanding students were male, while 69% were female. The average SE scores were 4.36 for male students and 4.31 for female students, while the SDL scores were 4.20 for males and 4.18 for females. The results show no statistically significant differences between male and female students in terms of SE and SDL, suggesting that both genders have equal opportunities for success in academic and …

Pengaruh Model Discovery Learning Berwahana Schoology Terhadap Kemampuan Berpikir Kritis Ditinjau Dari Kecerdasan Visual Spasial, Lathifah Dewi Humairo, Budi Handoyo, Syamsul Bachri

Jurnal Pendidikan Humaniora

Pembelajaran geografi saat ini belum mampu mengembangkan kemampuan berpikir kritis siswa. Kemampuan berpikir kritis dapat dicapai melalui pembelajaran yang digunakan. Penelitian ini bertujuan untuk mengetahui pengaruh discovery learning berwahana schoology terhadap kemampuan berpikir kritis ditinjau dari kecerdasan visual spasial siswa.

The Effectiveness Of Two Writing Portfolios On High School Students' Writing Achievement, Atmarita Atmarita, Mohammad Adnan Latief, Utari Praba Astuti

Jurnal Pendidikan Humaniora

Writing in English teaching and learning is perceived as a difficult skill due to internal and external factors. This study investigated the effectiveness of two writing portfolios (working writing portfolio and showcase writing portfolio) on high school students writing achievement utilizing quasi-experimental design.

Beyond Language Deficiency: Students' Code-Switching In International Program Of Vocational Higher Education In Indonesia, Hilda Cahyani, Isnani Nur Safitri

Jurnal Pendidikan Humaniora

Code-switching (switching in-and-out from one language to another) has been an international debate whether it is a simply language avoidance or a communication strategy. It is thus crucial to see in what way and in what situations students made use code-switching in the classroom.

Measuring Cosmic Rays With Muon Detectors (Quarknet), Jack W. Maseberg

SACAD: Scholarly Activities

We report measurements of atmospheric muon particles originating from cosmic rays. Using four QuarkNet project scintillators in a stacked geometry, we recorded muons in coincidence with each other. We observed a change in the muon flux due to a solar Coronal Mass Ejection (CME) event on Jan 19, 2026.

Artificial Intelligence Moderation In Online Gaming: A Cybersecurity Analysis Of Risks And Defenses, Labib Khan

Cybersecurity Undergraduate Research Showcase

This research paper will examine the role of artificial intelligence (AI) moderation systems in enhancing cybersecurity within online gaming environments. As multiplayer platforms increasingly rely on real-time text, voice communication, and user-generated content, developers have implemented AI-driven tools such as natural language processing (NLP), speech recognition, and behavioral analytics to detect harassment, toxic behavior, cheating coordination, and other malicious activity. These systems enable gaming companies to efficiently monitor large volumes of player interactions, improving response times and helping maintain safer and more controlled digital environments for users across global gaming communities of varying sizes and activity levels.

While these technologies …

Impact Of Collodion Thickness On Fission Track Generation Within Lexan Employed For Nuclear Forensic Analyses, Ryan K. Chapman, Zachary P. Meisel, Abigail A. Bickley

Faculty Publications

We report results from a computational study of fission track damage within a Lexan substrate caused by ²³⁵U suspended within a collodion film of varied thickness. MCNP6.3 was used to model energy deposition and displacements per atom within a Lexan film coated by a film of collodion, located within the air-filled 6 inch dry tube of a TRIGA reactor. The collodion layer was varied between 20 and 100 μm thickness, resulting in an 8.8% difference in energy deposition and 12% difference in displacements-per-atom within the Lexan substrate. These findings indicate that collodion adhesive thickness has a moderate impact on …

Does Culture Translate? A Case Study On Artificial Intelligencegenerated Text Concerning Japanese-Style Employment, Kanji Kitamura

Languages, Literatures, and Cultures Faculty Publications

Translation matters to international business when it has a discernible impact on firm performance or critical business processes. Current developments include machine translation, which is evolving in tandem with generative artificial intelligence (AI). On one hand, useful translation apps have become available to help the public communicate internationally. On the other hand, recent research concludes that even machine translation's best output still requires post-editing by a human. This argument implies that a machine-translated, grammatically accurate text may not always make sense to a human audience, possibly because of a semantic-pragmatic issue beyond the lexical level. This paper regards it as …

Developing A Bilingual Education Program For Middle Schools In Richland School District 01: Promoting Literacy Through Culturally-Relevant Pedagogy, Paige E. Swanson

Caroliniana Undergraduate Research Journal

The following study explores how bilingual and immersive language learning programs can enhance multi-subject literacy and academic engagement among at-risk African American middle school students in Richland County School District One (R01) in Columbia, South Carolina. Through a qualitative thematic analysis utilizing a literature review of fifty sources that explore education, linguistics, and psychology, the research identifies intersections between bilingual education, culturally relevant pedagogy (CRP), and literacy development in at-risk youth populations. Six themes were revealed by the analysis. From these themes, the results conclude that African American students experience greater academic success when classroom instruction integrates their cultural identities, …

A Dynamic Systems Framework For Customer Lifecycle Management: From Latent State Discovery To Robust Control Policy, Ali Nasirzonouzi

Northeast Journal of Complex Systems (NEJCS)

Traditional marketing often relies on static strategies that fail to capture dynamic customer behavior. This paper introduces an integrated framework to model and control the customer lifecycle, bridging the gap between empirical data and computational simulation. Using the Customer Personality Analysis dataset, we implemented a five-stage methodology. We first identified three distinct customer segments (At-Risk, Standard, High-Value) using Gaussian Mixture Models. To address the lack of longitudinal data, we calibrated a normative transition model based on customer inertia principles. Our analysis revealed that marketing effectiveness is highly state-dependent; notably, At-Risk customers exhibited a 33.5% lift when targeted with catalogs. Leveraging …

How To Effectively Trap Invasive Crayfish: A Discrete Life Stage Mathematical Model, Rini Pattison

Seaver College Research And Scholarly Achievement Symposium

The red swamp crayfish is an invasive species introduced into several streams within the Santa Monica Mountains (SMM). Crayfish predation decimates native aquatic species. The Mountains Restoration Trust (MRT) has worked to remove crayfish through regular trapping in Malibu Creek.

A prior student created a crayfish life cycle model with trapping, which we expand to better predict the efficacy of crayfish removal efforts in the SMM. We separate crayfish based upon life stages and sizes. We construct and parameterize this discrete crayfish population model with and without trapping. We use literature and crayfish removal data from MRT to fit the …