Physical Sciences and Mathematics Commons^™

Optimizing Underground Construction And Plan Management For The Mong Duong Coal Mine, Vietnam, Phi Hung Nguyen, Thi Kim Thanh Nguyen, Duc Hung Pham, Quang Phuc Le, Thai Tien Dung Vu

Journal of Sustainable Mining

Mong Duong mine’s output objective is 1.5 million tons, which requires approximately 10,000 m of tunnel excavation each year. Because of the complicated geological features, the actual work is vastly different, necessitating regular changes in design and technical approaches, as well as plans for material supply, money, and staff. On the other hand, office personnel visit the construction site to update the work status after each report, and the department head and board of directors make choices on development and execution. This process takes time because it is carried out manually. As a result, a solution to support the optimization …

Spatiotemporal Variation Of Vegetation Cover In Mining Areas Of Ysr Kadapa District, Andhra Pradesh Using Remote Sensing And Gis, Vinod Kumar Yarlanki, Prudhvi Raj Muppala, Prem Kumar Yasam, Balaji Gollapudi, Sumanth Moddu, Appanna Besta

Journal of Sustainable Mining

The spatiotemporal variation of vegetation cover in the mining areas of YSR Kadapa district, Andhra Pradesh, using Remote Sensing and GIS techniques. By focusing on the years 2014, 2018, and 2023, the analysis provides insights into changes observed in water bodies, bare soil, sparse vegetation, moderate vegetation, and dense vegetation. The results reveal dynamic trends in land cover categories, highlighting the environmental impact of mining activities in the region. A significant decline in water bodies is observed, with the area reducing from 3.48 km² in 2014 to 1.91km² in 2023. This decrease raises concerns about the potential degradation …

Assessing The Perception Gap: Mining Impacts From Community And Company Perspectives In Nigeria, Ikechukwu Mbachu

Journal of Sustainable Mining

The study intends to evaluate how mining companies and their host communities perceive the impacts of mining operations and to ascertain if there are significant differences in how both parties perceive the impacts of mining in Nigeria. The study was carried out in twelve states in Nigeria and covered the six geopolitical zones in Nigeria. Data was collected through a questionnaire and interviews carried out separately with community members and company representatives. The study investigated ten categories of mining impacts such as socioeconomic, environmental, health, physical and so on. To gauge the perceptions of the respondents on the different impact …

Effect Of Depth And Particle Size On Spontaneous Combustion Of Coal In Deep Underground Mines Of Jharia Coalfield, Debashish Mishra, D.P. Mishra, N K Mohalik, S K Ray, J K Pandey

Journal of Sustainable Mining

Since their inception, the deep mines have faced the challenges of spontaneous heating and fire. The study examines the impact of coal seam depth and particle size on the spontaneous combustion of coal. A spontaneous heating study of seven coal samples shows moisture, volatile matter, and ash do not exhibit any clear trend except for fixed carbon, which shows a direct relationship. However, crossing point temperature (CPT) and thermo-gravimetric (TG_ignition) temperature reveal an inverse relationship between spontaneous combustion and the depth of the coal seam. Five size ranges: < 106, 106–212, 212–425, 425–2000, and 0–212 µm are studied, which displayed an increase in mean specific surface area (SSA) by 87% and a decrease in …

Mineralogical Analysis And Beneficiation Assessment To Unlock The Lithium Potential In Kenticha Pegmatite Ore, Gutema Mekonen, Mulugeta Sisay, Goitom Gebreyohannes

Journal of Sustainable Mining

Lithium is utilized in various industries, especially currently Lithium-ion batteries are employed in electric vehicles and portable electronic devices as an energy source, in pharmaceutical industries, aerospace applications, glass and ceramics production, lubricants and greases, air purification systems, nuclear power, and aluminum production. The Kenticha pegmatite ore deposit in Ethiopia holds potential, and this study analyzed the mineralization of Kenticha spodumene ore and assessed its suitability for beneficiation by employing X-ray diffraction (XRD), Atomic Absorption Spectroscopy (AAS), and petrographic microscope analysis. The study determined the mineral composition, average composition, and texture of spodumene pegmatite ore for spodumene concentrate liberation. Based …

Potential Impact Of Coal Mining And Use For Electricity Generation In Brazil On Global Warming., Marisa Nascimento, Paulo Sergio Moreira Soares

Journal of Sustainable Mining

The study aims to evaluate the potential contribution of coal production for electric power generation in Brazil to greenhouse gases (GHG) emissions, applying life cycle assessment (LCA). The product system studied consists of mining, transportation of the coal to the power station, and power generation. The LCA was first developed only for coal mining in Brazil. Secondly, it was enlarged to include transportation of the coal domestically produced, the hard coal imported, and power generation (Integrated System BR). In the mining stage in Brazil (Brazilian coal), the contribution to the global warming potential was estimated at 237 kg of CO …

Determination Of The Liberation Size Of Mekaneselam Iron Ore In The Southern Wollo Zone, Northern Ethiopia: Implications For Beneficiation, Getahun Meseret, Bisrat Kebede, Belayneh Digafe

Journal of Sustainable Mining

Previous investigations in the target area primarily focused on ore genesis or the geological formations of the ore deposit, neglecting the specific beneficiation aspects associated with the ore. Due to gaps with respect to beneficiation aspects,the research aimed to determine the liberation size of the target iron-bearing ore mineral through mineralogical identification, chemical composition analysis, and examination of the particle size distribution. In this study, various methods were employed, including atomic absorption spectrometry (AAS), X-ray fluorescence (X-RF), X-ray diffraction (XRD) analysis, and sieve analysis. The chemical composition analysis of Mekaneselam iron ore revealed significant amount of 16.55–77.59 % Fe2O3, 7.31–59.02% …

Leveraging Intrinsic Properties For Classification Of Coal Seams Towards Spontaneous Combustion Proclivity And Predicting Susceptibility Using Machine Learning: Smart And Sustainable Mining Approach, Siddhartha Agarwal, Pradeep K. Gautam, Yuhao Zou, Rishabh Dwivedi, D.C. Panigrahi, C. Dagli, Atul Singh

Journal of Sustainable Mining

Mine fires and other hazards caused by spontaneous coal combustion are a pervasive and longstanding issue in Jharia coalfields, India. This study proposes a novel approach to classify coal seams based on their propensity to spontaneous combustion using the intrinsic properties of 30 coal samples from different seams. This method eliminates the need for expensive and time-consuming experimental determinations of susceptibility indices (SI) such as crossing point temperature (CPT), critical air blast (CAB), and differential thermal analysis (DTA). All clustering models, viz. hierarchical, k-means, and multidimensional scaling, aptly classify coal seams into three categories: highly risky, medium risky, and low …

A Dynamic Intuitionistic Fuzzy Group Decision Analysis For Sustainability Risk Assessment In Surface Mining Operation Projects, Mohammad Panahi Borujeni, Arash Behzadipour, Hossein Gitinavard

Journal of Sustainable Mining

With the increasing advancement of technology and science in the fields of engineering, different industries have different benefits that can help the global community in areas related to social, environmental, and economic requirements. The mining industry is one of the suitable sources of wealth production in different societies, which leads different societies to appropriate profitability. In this regard, one of the challenges facing managers and decision-makers is not related to financial challenges and risks. This research uses the dynamic intuitionistic fuzzy entropy method to compute the criteria weights, and the dynamic intuitionistic fuzzy maximizing similarity (DIF-SM) approach to compute the …

An Automated Integrated Web-Based Smart Tool For Open Stope Design, Yerkezhan Madenova, Fidelis Suorineni, Shuai Xu

Journal of Sustainable Mining

The Stability Graph is a widely used tool for the design of open stopes in underground mining. Many users of the Stability Graph still apply this design method manually. Although the manual approach has benefits, using multiple graphs and stability number computation charts for each stope surface is time-consuming, even for the experienced mining engineer. Current practice in the use of the method also limits data sharing. This paper presents a StopeSoft web-based tool for open stope stability prediction that is developed on the basis of the Stability Graph method and is available at openstope.com. StopeSoft incorporates flexibility in terms …

Scalable And Ethical Insider Threat Detection Through Data Synthesis And Analysis By Llms, Haywood Gelman, John Hastings

Research & Publications

Insider threats wield an outsized influence on organizations, disproportionate to their small numbers. This is due to the internal access insiders have to systems, information, and infrastructure. Signals for such risks may be found in anonymous submissions to public web-based job search site reviews. This research studies the potential for large language models (LLMs) to analyze and detect insider threat sentiment within job site reviews. Addressing ethical data collection concerns, this research utilizes synthetic data generation using LLMs alongside existing job review datasets. A comparative analysis of sentiment scores generated by LLMs is benchmarked against expert human scoring. Findings reveal …

Massera’S Theorem On Arbitrary Discrete Time Domains, Martin Bohner, Jaqueline G. Mesquita, Sabrina Streipert

Mathematics and Statistics Faculty Research & Creative Works

We present a general version of Massera's theorems for arbitrary discrete domains, based on a newly introduced definition for both linear and nonlinear equations. For scalar nonlinear equations, we identify sufficient conditions that ensure each µ-bounded solution approaches a periodic solution asymptotically. In the case of linear systems, we prove that the presence of a µ-bounded solution necessarily leads to a periodic solution. We also provide some examples to show the practical implications of our findings.

On The Sharpness Of A Korn’S Inequality For Piecewise H1 Space And Its Applications, Qingguo Hong, Young Ju Lee, Jinchao Xu

Mathematics and Statistics Faculty Research & Creative Works

In this paper, we investigate the sharpness of a Korn's inequality for piecewise H1 space and its applications. We first revisit a Korn's inequality for the piecewise H1 space based on general polygonal or polyhedral decompositions of the domain. We express the Korn's inequality with minimal jump terms. Then we prove that such minimal jump conditions are sharp for achieving the Korn's inequality. The sharpness of the Korn's inequality and explicitly given minimal conditions can be used to test whether any given finite element spaces satisfy Korn's inequality, immediately as well as to build or modify nonconforming finite elements for …

Long-Time Asymptotics For The Kadomtsev–Petviashvili I Equation With Small Initial Data, Samir Donmazov

Theses and Dissertations--Mathematics

We study the initial value problem for the Kadomtsev--Petviashvili I (KP I) equation (u_t + 6uu_x + u_xxx)_x = 3u_yy with small initial data belonging to a subspace of the energy space for the KP I equation. We establish the long-time asymptotics for solutions of the KP I equation using the inverse scattering transform formalism developed by Zhou. Within this framework, the inverse problem for the KP I equation is formulated as a nonlocal Riemann--Hilbert problem (RHP) in two spatial dimensions. As part of the asymptotic analysis, we determine the long-time behavior of the …

Reproductive Costs In Female, Island-Dwelling Eastern Diamondback Rattlesnakes (Crotalus Adamanteus), Emily R. Gray

Theses, Dissertations and Capstones

Eastern Diamondback Rattlesnakes (Crotalus adamanteus; EDBs) are a declining species endemic to the Southeastern Coastal Plain. Reproduction is costly for females, which are ovoviviparous, slow to mature, reproduce infrequently, and are often emaciated after parturition. Yet, we have a limited understanding of the trade-offs associated with their reproductive biology. Thus, I had three objectives: 1) assess reproduction-associated water stress and determine how female EDBs respond to altered water budgets in situ (Chapter 1), 2) evaluate the interactive effects of body condition and rainfall on female hydration, with a special focus on musculature as a condition index (Chapter 1), …

A Monte Carlo Study Of The Efficacy Of The Mantel-Haenszel Method At Detecting Item Bias, Macy Daulton

Masters Theses & Specialist Projects

The Mantel-Haenszel (MH) method is a statistical method used for differential item functioning analysis. Previous differential item functioning (DIF) research of the MH method focused on Type I error rates and statistical power. Not yet studied in the literature is whether excessive numbers of biased items may cause the MH method to fail to identify biased items. The proposed study employed a Monte Carlo design to determine the extent of bias in the match items necessary for the MH method to fail to identify a biased item. Results showed that the threshold was greater than was hypothesized, requiring nearly all …

Dashar: An Implementation Of Augmented Reality Technology For Automotive Applications, Trevor D. Brown

Masters Theses & Specialist Projects

Since the advent of the modern automobile, manufacturers have provided means of tracking various critical data points associated with automobile operation, with the most prominent and standardized method being the instrument cluster. These data points include, but are not limited to, automobile speed, engine speed, fuel level, oil temperature, radiator (water) temperature, and battery charge. While this data is updated in real-time as the automobile is running, traditional instrument clusters cannot be modified or adjusted to the automobile driver’s needs, unless extensive after-market modifications are made. These modifications can be expensive, and require great understanding of the automobile’s assembly.

Alongside …

An Algorithm And Computation To Verify Legendre's Conjecture Up 7 · 1013, Jonathan Sorenson, Jonathan Webster

Computer Science and Software Engineering

We state a general purpose algorithm for quickly finding primes in evenly divided sub-intervals. Legendre’s conjecture claims that for every positive integer n, there exists a prime between n² and (n + 1)². Oppermann’s conjecture subsumes Legendre’s conjecture by claiming there are primes between n2 and n(n + 1) and also between n(n + 1) and (n + 1)². Using Cramér’s conjecture as the basis for a heuristic run-time analysis, we show that our algorithm can verify Oppermann’s conjecture, and hence also Legendre’s conjecture, for all n ≤ N in time O(N log N log …

Analysis Of Phytochemicals In Watercress Leaves Using Chromatographic, Spectroscopic And In-Vitro Approaches, Bidisha Roy Sengupta

Faculty Publications

No abstract provided.

Biofilm-Based Biomonitoring Of Treated Wastewater Using Bacillus Thuringiensis: Toward Sustainable Water Reuse, Bidisha Roy Sengupta, Kefa K. Onchoke, Olabisi O. Ogunlewe, Robert Friedfeld

Faculty Publications

No abstract provided.

Collision Avoidance And Vegetation As Drivers Of Collective Motion In Australian Plague Locusts, Nathan S. Hasegawa

HMC Senior Theses

The Australian plague locust (Chortoicetes terminifera) is an agricultural and ecological pest that causes tens of millions of dollars in crop damage each year. In this thesis, we develop mathematical models of hopper bands, dense formations of juvenile locusts that move across a vegetated field and destroy plants in their path. We develop agent-based and PDE models of hopper bands moving through vegetation to examine how recently discovered behavior where locusts slow down to avoid collisions with other locusts may influence the shape, speed, and destructiveness of hopper bands. We find that collision avoidance may cause locusts to …

On The Hölder Continuity Of The Brascamp-Lieb Constant, Ori Friesen

Mathematics, Statistics, and Computer Science Honors Projects

The Brascamp-Lieb inequality is a generalization of many well-known multilinear functional inequalities. The Brascamp-Lieb constant is the best constant that works for the Brascamp-Lieb inequality for a given tuple of input linear maps and powers. If we keep the powers constant while varying the input linear maps, the Brascamp-Lieb constant becomes a function of the linear maps. In this thesis, we explore the Hölder continuity of the Brascamp-Lieb constant. Specifically,we prove that the general 4-linear case of the Brascamp-Lieb inequality is locally Lipschitz continuous. Additionally, we provide an improvement of a previous result on the local Hölder continuity of the …

Artificial Intelligence In Health Care: Business Opportunities And Ethical Challenges, Ankita Srivastava,, Marco Marabelli, Jeffrey Moriarty

Ethics Publication

Artificial intelligence (AI), and in particular generative AI (GAI), are making incredible progress toward automation. The pervasive and invasive nature of these technologies are affecting every industry, and health care is no exception. This paper summarizes insights derived from a panel that the Hoffman Center for Business Ethics and the Center for Health and Business at Bentley University hosted in March 2024. The panel invited three qualified health care professionals: Evan Carey, Susan Persky and John Torous. The panelists are all active in multiple aspects of AI in health care but represent a focus on the key areas of policy …

Investigating Drivers In Phytoplankton Between Lentic And Lotic Ecosystems Within Twelvepole Creek Watershed, Devin Lee Farmer

Theses, Dissertations and Capstones

Harmful Algal Blooms (HABs) threaten aquatic ecosystems, local economies, and water quality. While extensively studied in lakes (lentic systems), their impact on flowing waters (lotic systems) remains underexplored. This study examined algal drivers in both ecosystems within the same watershed, focusing on Beech Fork Lake (lentic) and Twelve Pole Creek (lotic). Key environmental factors, including pH, turbidity, dissolved oxygen, and nutrient levels, were measured using in situ sensors and laboratory analysis. Water samples were analyzed for nitrogen, phosphorus, and algal biomass for comparison to environmental conditions. Phytoplankton was preserved for identification in future research. By comparing these environments, this study …

Comparing Unidirectional, Bidirectional, And Word2vec Models For Discovering Vulnerabilities In Compiled Lifted Code, Gary Mccully, John Hastings, Shengjie Xu, Adam Fortier

Research & Publications

Ransomware and other forms of malware cause significant financial and operational damage to organizations by exploiting long-standing and often difficult-to-detect software vulnerabilities. To detect vulnerabilities such as buffer overflows in compiled code, this research investigates the application of unidirectional transformer-based embeddings, specifically GPT-2. Using a dataset of LLVM functions, we trained a GPT-2 model to generate embeddings, which were subsequently used to build LSTM neural networks to differentiate between vulnerable and non-vulnerable code. Our study reveals that embeddings from the GPT-2 model significantly outperform those from bidirectional models of BERT and RoBERTa, achieving an accuracy of 92.5\% and an F1-score …

All We (And Llms) Need Is Fuzzy: An Argument, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

Large Language Models (LLMs) like ChatGPT have spectacular successes -- but they also have surprising failures that an average person with common sense could easily avoid. It is therefore desirable to incorporate the imprecise ("fuzzy") common sense into LLMs. A natural question is: to what extent will this help? This way, we may avoid a few simple mistakes, but will it significantly improve the LLMs' performance? What portion of the gap between current LLMs and ideal perfect AI-based agents can be, in principle, covered by using fuzzy techniques? Judging by the fact that few researchers working on LLMs (and on …

How To Share A Success, How To Share A Crisis, And How All This Is Related To Fuzzy, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practical situations, a group of people needs to share a success. What is the fair way to share this success? Nobelist John Nash showed that under reasonable conditions, the group should select the alternative for which the product of utility gains is the largest possible. This solution makes perfect sense from the fuzzy-formalized commonsense viewpoint: it maximizes the degree of confidence that all participants are happy. A natural question is: can we extend this result to a different class of situations, when a group of people needs to share sacrifices caused by a crisis? In this paper, we …

Estimation And Model Misspecification For Recurrent Event Data With Covariates Under Measurement Errors, Ravinath Alahakoon, Gideon K.D. Zamba, Xuerong Meggie Wen, Akim Adekpedjou

Mathematics and Statistics Faculty Research & Creative Works

For subject i, we monitor an event that can occur multiple times over a random observation window [0, (Formula presented.)). At each recurrence, p concomitant variables, (Formula presented.), associated to the event recurrence are recorded—a subset ((Formula presented.)) of which is measured with errors. To circumvent the problem of bias and consistency associated with parameter estimation in the presence of measurement errors, we propose inference for corrected estimating equations with well-behaved roots under an additive measurement errors model. We show that estimation is essentially unbiased under the corrected profile likelihood for recurrent events, in comparison to biased estimations under a …

Does Biofluorescence Enhance Visual Signals In Birds-Of-Paradise?, R. P. Martin, E. M. Carr, J. S. Sparks

School of Natural Resources: Faculty Publications

No abstract provided.

Impacts Of Irrigated And Non-Irrigated Land Use On Convective Environments And Related Diagnostic Variables During Grainex In Nebraska, Usa, Daniel Whitesel, Rezaul Mamood

School of Natural Resources: Faculty Publications

No abstract provided.