Physical Sciences and Mathematics Commons^™

Construction Of Geological Guarantee System For Green Coal Mining, Wang Shuangming, Geng Jishi, Li Pengfei, Sun Qiang, Fan Zhangqun, Li Dan

Coal Geology & Exploration

Large-scale and high-intensity mining of coal resources has induced damage to geological conditions and ecological environment in coal mining areas. It is of great significance to study the coupling mechanism of geological structure-groundwater environment-ecological environment dynamic evolution caused by coal mining. Development of the theory and technology of geological guarantee for green coal development is also critical for ensuring the high-quality development of coal industry in China. In additional to the current coal mining technology, research status of geological guarantee for green development of coal is analyzed in this paper Scientific connotation of “system of geological guarantee for green development …

Status And Advance Of Seismic Diffraction Exploration In Coalfield, Peng Suping, Zhao Jingtao, Sheng Tongjie, Yang Jie, Tao Junhong

Coal Geology & Exploration

In China, there is an urgent need for intelligent and environmentally friendly coal mining practices to address the issue of accurately mapping transparent geological conditions, including coal rock structures, water-bearing bodies, goafs, and underground stress. These hidden disaster-causing bodies are prone to triggering mine accidents such as water inrush or gas outburst, which is the main obstacle to safe and intelligent coal mining. Three-dimensional seismic exploration is the main technology for detecting geological bodies such as faults and collapse columns. However, this technology, based on the framework of reflection theory, faces challenges in detecting small-drop faults and small-scale collapse columns. …

Analysis And Jet Drilling Test Of Coiled Tubing Drilling String For Underground Coal Mine, Yao Ningping, Wang Li, Zhang Jinbao, Dou Xuqian, Wei Hongchao

Coal Geology & Exploration

Due to continuous tripping, uninterrupted circulation and other technical advantages, coiled tubing drilling has become one of the fastest developing oil-drilling-technologies in recent years. Developing the coiled tubing drilling technology for underground coal mine is an essential technical means to realize “less humanized” or even “unhumanized” coal drilling. Aiming at solving the key problems existing in the application of this technology in underground coal mine, such as pipe string optimization and drilling method, the coiled tubing jet directional drilling method was proposed. According to the mud pump capacity and borehole depth design for underground coal mine drilling, the fluid friction …

Research On Low Illumination Video Enhancement Technology In Coal Mine Heading Face, Zhang Xuhui, Yang Hongqiang, Bai Linna, Shi Shuo, Du Yuyang, Zhang Chao, Wan Jicheng, Yang Wenjuan, Mao Qinghua, Dong Zheng

Coal Geology & Exploration

Aiming at overcoming low illumination, uneven brightness, blurry texture and more noise in the video of coal mine heading face, a low illumination video enhancement algorithm was proposed for coal mine heading face. Firstly,the separability of convolution was utilized to carry out one-dimensional horizontal and vertical convolution of video images, then the perfect reflection method was used to achieve the automatic white balance, and the image hybrid enhancement technology was utilized to improve the overall brightness of the video images. Then, the image was divided into the highlight area, the middle tone area and the dark tone area by recursive …

Review And Prospect Of Coal Mine Geological Guarantee System Inchina During 30 Years Of Construction, Jia Jiancheng, Jia Qian, Sang Xiangyang, Wu Yan

Coal Geology & Exploration

Geological guarantee is the indispensable basis for the safe, efficient and green mining of coal mine. The primary objective of this paper is to present a detailed review of the construction progress of China’s geological guarantee system over the past three decades, covering the key aspects of its intention, basic theoretical research, and technological and equipment development. The statement outlines five complex technical problems faced by the geological guarantee system in the context of green and intelligent mining, which include the low level of intelligence in geological information collection and interpretation, the need to improve advance prediction reliability based on …

Theoretical And Technological Difficulties And Countermeasures Of Deep Cbm Exploration And Development In The Eastern Edge Of Ordos Basin, Xu Fengyin, Yan Xia, Li Shuguang, Xiong Xianyue, Wang Yuxin, Zhang Lei, Liu Chuanqing, Han Jinliang, Feng Yanqing, Zhen Huaibin, Yang Yun, Wang Chengwang, Li Yuxin

Coal Geology & Exploration

Deep coalbed methane (CBM) resources (hereinafter referred to the CBM resources with the buried depth greater than 2 000 m) are abundant in China and have great potential in exploration and development. Since 2019, Daning‒Jixian block in the eastern edge of Ordos Basin has entered the stage of "scaled exploration + pilot test" of deep CBM, with the daily gas production exceeding 2 × 10⁴ m ³in vertical wells and 10 × 10⁴ m ³in horizontal wells. This remarkable achievement has broken through the traditional depth limitation in CBM exploration and development. Thus,the total resource of …

Present Situation And Technical Research Progress Of Coalbed Methane Surface Development In Coal Mining Areas Of China, Zhang Qun, Jiang Wenping, Jiang Zaibing, Sun Siqing, Li Bingang, Du Xinfeng, Wu Xiuping, Zhao Jizhan, Fan Yao, Fan Zhangqun, Han Baoshan, Xu Yaobo, Liu Baigen

Coal Geology & Exploration

The exploration and development process of coalbed methane (CBM) in coal mining areas, which was implemented under the organization and cooperation of the coal enterprises in China, was reviewed in this paper. After more than 30 years of hard work and unremitting efforts, gratifying achievements have been made in the research, engineering experiments and industrial development on CBM surface development technology, including the successful CBM development of anthracite coal in Jincheng mining area, Shanxi Province, for the first time at home and abroad, the largescale commercial production of CBM, the major breakthrough made in the CBM development technology by horizontal …

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

Comparison Of Soil Organic Carbon Stocks In Two Forest Types In Huron Mountains, Michigan, Nicholas Johnson

Research Days

It is of utmost importance to keep track of the soil organic carbon (SOC) level in forests due to how it affects atmospheric CO2 concentrations and how it mitigates climate change. This study investigates the amount of soil organic carbon that we have gathered from two different forest types such as the Red Pine and Hemlock Sugar Maple Forest. The soil samples used from these two forest types were taken from the Huron Mountain located in Michigan. The Red Pine forest is a plantation forest while the Hemlock Sugar Maple forest is natural. We will be comparing the levels of …

2023 March 30 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Interface-Engineered Ferroelectricity Of Epitaxial Hf0.5Zr0.5O2 Thin Films, Shu Shi, Haolong Xi, Tengfei Cao, Weinan Lin, Zhongran Liu, Jiangzhen Niu, Da Lan, Chenghang Zhou, Jing Cao, Hanxin Su, Tieyang Zhao, Ping Yang, Yao Zhu, Xiaobing Yan, Evgeny Y. Tsymbal, He Tian, Jingsheng Chen

Department of Physics and Astronomy: Faculty Publications

Ferroelectric hafnia-based thin films have attracted intense attention due to their compatibility with complementary metal-oxide-semiconductor technology. However, the ferroelectric orthorhombic phase is thermodynamically metastable. Various efforts have been made to stabilize the ferroelectric orthorhombic phase of hafnia-based films such as controlling the growth kinetics and mechanical confinement. Here, we demonstrate a key interface engineering strategy to stabilize and enhance the ferroelectric orthorhombic phase of the Hf_0.5Zr_0.5O₂ thin film by deliberately controlling the termination of the bottom La_0.67Sr_0.33MnO₃ layer. We find that the Hf_0.5Zr_0.5O₂ films on …

Traffic Lights For Catalysis: Stimuli-Responsive Molecular And Extended Catalytic Systems, Grace C. Thaggard, Johanna Haimeri, Roland A. Fischer Prof. Dr., Kyoung Chul Park, Natalia B. Shustova Prof. Dr.

Faculty Publications

The advances made in the field of stimuli-responsive catalysis during the last five years with a focus on the novel recently-emerged directions and applications have been surveyed. Metal-free catalysts and organometallic complexes, as well as biomimetic systems and extended structures, which display switchable catalytic activity for a variety of organic transformations, are discussed. Light-activated systems comprised of photochromic molecules capable of modulating reaction rate, yield, or enantioselectivity based on geometric and electronic changes associated with photoisomerization are the focus of the detailed discussion. Alternative stimuli, including pH and temperature, which could be applied either alone or in combination with light, …

Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Fourth Quarter 2022, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Exploring Scalability Of Multimodal User Interface Design In Virtual And Augmented Reality, Sarah M. Garcia

USF Tampa Graduate Theses and Dissertations

Use of Extended Reality (XR) technology such as Augmented Reality (AR) and Virtual Reality (VR) has experienced significant growth, with continuous advances in mobile technology and head-mounted display (HMD) headset development. As applications that span more than one type of reality have started to emerge, there is a need for additional research regarding the user interfaces (UIs) developed for these multimodal systems. While some work exists towards the creation of UI design guidelines in AR and in VR, little to no work has been done in providing recommendations for designing interfaces that work successfully across multiple XR modalities. To explore …

Beyond Machine Learning: An Fmri Domain Adaptation Model For Multi-Study Integration, Lauryn Michelle Burleigh

LSU Doctoral Dissertations

Traditional machine learning analyses are challenging with functional magnetic
resonance imaging (fMRI) data, not only because of the amount of data that needs to be
collected, adding a particular challenge for human fMRI research, but also due to the change in
hypothesis being addressed with various analytical techniques. Domain adaptation is a type of
transfer learning, a step beyond machine learning which allows for multiple related, but not
identical, data to contribute to a model, can be beneficial to overcome the limitation of data
needed but may address different hypothesis questions than anticipated given the analysis
computation. This dissertation assesses …

Air Pollution In South Texas: A Short Communication Of Health Risks And Implications, Sai Deepak Pinakana, Esmeralda Mendez, Ismaila Ibrahim, Md. Salahuddin Majumder, Amit U. Raysoni

School of Earth, Environmental, and Marine Sciences Faculty Publications and Presentations

Air pollution is a major public health concern. The region of South Texas in the United States has experienced high levels of air pollution in recent years due to an increase in population, cross-border trade between the U.S.A. and Mexico, and high vehicular activity. This review assesses the relationships between human health and air pollution in South Texas. A thorough scientific search was performed using PubMed, Science Direct, and ProQuest, with most of the literature focusing on the source apportionment of particulate matter that is 2.5 microns or less in width (PM2.5), Carbon Dioxide (CO2), carbon monoxide (CO), Black Carbon …

Continuous Semi-Supervised Nonnegative Matrix Factorization, Michael R. Lindstrom, Xiaofu Ding, Feng Liu, Anand Somayajula, Deanna Needell

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

Nonnegative matrix factorization can be used to automatically detect topics within a corpus in an unsupervised fashion. The technique amounts to an approximation of a nonnegative matrix as the product of two nonnegative matrices of lower rank. In certain applications it is desirable to extract topics and use them to predict quantitative outcomes. In this paper, we show Nonnegative Matrix Factorization can be combined with regression on a continuous response variable by minimizing a penalty function that adds a weighted regression error to a matrix factorization error. We show theoretically that as the weighting increases, the regression error in training …

Euler Archive Spotlight, Erik R. Tou

Euleriana

A survey of two translations posted to the Euler Archive in 2022.

Euler And Venus' Suspicious Moon, Michael P. Saclolo

Euleriana

This is a brief note on Leonhard Euler's published German translation from the French of two memoirs read by Armand Henri Baudouin de Guémadeuc to the Paris Academy of Sciences in 1761 and published the same year. The memoirs report on observations made of the planet Venus, performed in Limoges, France by Jacques Montaigne, where he claimed to have detected a moon orbiting the Morning and Evening Star.

Euler And The Duplication Formula For The Gamma-Function, Alexander Aycock

Euleriana

We show how the formulas in Euler’s paper "Variae considerationes circa series
hypergeometricas" [ 4] imply Legendre’s duplication formula for the Γ-function. This
paper can be seen as an Addendum to [2].

Euler Found The First Binary Digit Extraction Formula For Π In 1779, Nick Craig-Wood

Euleriana

In 1779 Euler discovered two formulas for π which can be used to calculate any binary digit of π without calculating the previous digits. Up until now it was believed that the first formula with the correct properties (known as a BBP-type formula) for this calculation was published by Bailey, Borwein and Plouffe in 1997.

Analytical Observations (Translation Of E326), Cynthia Huffman Ph.D.

Euleriana

Euler, in this publication with Eneström number E326, provides an induction fallacy which arises from analyzing a particular sequence. Euler wrote this work in 1763, one of only two papers he wrote on sequences and/or series in the 1760’s, out of a total of 79 papers on series during his career. His goal in E326 is to investigate the middle terms in the expansion of powers of quadratic trinomial expressions, beginning with the specific simple quadratic , before considering the general quadratic .

The induction fallacy shows up during the analysis of the simple case when Euler first finds an …

Euler's Anticipations, Christopher Goff, Erik Tou

Euleriana

Welcome to Volume 3 of Euleriana. This issue highlights occasions where Euler's work anticipated future results from other others, sometimes by decades or even centuries!

Using Physics-Informed Neural Networks For Multigrid In Time Coarse Grid Equations, Jonathan P. Gutierrez

Mathematics & Statistics ETDs

For parallel-in-time integration methods, the multigrid-reduction-in-time (MGRIT) method has shown promising results in both improved convergence and increased computational speeds when solving evolution problems. However, one problem the MGRIT algorithm currently faces is it struggles solving hyperbolic problems efficiently. In particular, hyperbolic problems are generally solved using explicit methods and this causes issues on the coarser multigrid levels, where larger (coarser) time step sizes can violate the stability condition. In this thesis, physics-informed neural networks (PINNs) are used to evaluate the coarse grid equations in the MGRIT algorithm with the goal to improve convergence for problems with hyperbolic behavior, as …

Ten Years After Imagenet: A 360° Perspective On Artificial Intelligence, Sanjay Chawla, Preslav Nakov, Ahmed Ali, Wendy Hall, Issa Khalil, Xiaosong Ma, Husrev Taha Sencar, Ingmar Weber, Michael Wooldridge, Ting Yu

Natural Language Processing Faculty Publications

It is 10 years since neural networks made their spectacular comeback. Prompted by this anniversary, we take a holistic perspective on artificial intelligence (AI). Supervised learning for cognitive tasks is effectively solved - provided we have enough high-quality labelled data. However, deep neural network models are not easily interpretable, and thus the debate between blackbox and whitebox modelling has come to the fore. The rise of attention networks, self-supervised learning, generative modelling and graph neural networks has widened the application space of AI. Deep learning has also propelled the return of reinforcement learning as a core building block of autonomous …

Integrating And Optimizing Genomic, Weather, And Secondary Trait Data For Multiclass Classification, Vamsi Manthena, Diego Jarquín, Reka Howard

Department of Statistics: Faculty Publications

Modern plant breeding programs collect several data types such as weather, images, and secondary or associated traits besides the main trait (e.g., grain yield). Genomic data is high-dimensional and often over-crowds smaller data types when naively combined to explain the response variable. There is a need to develop methods able to effectively combine different data types of differing sizes to improve predictions. Additionally, in the face of changing climate conditions, there is a need to develop methods able to effectively combine weather information with genotype data to predict the performance of lines better. In this work, we develop a novel …

Urban Mass Transit: New York State And The Mta Sustainability Initiatives On Greenhouse Gas Emission Reduction, Omosehin Moyebi

Sustainability Research & Practice Seminar Presentations

Dr. Omosehin Moyebi, Health - Urban Mass Transit: New York State and the MTA Sustainability Initiatives on Greenhouse Gas Emission Reduction

Virtual And In Vitro Screening Of Natural Products Identifies Indole And Benzene Derivatives As Inhibitors Of Sars-Cov-2 Main Protease (MPro), Dony Ang, Riley Kendall, Hagop S. Atamian

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The rapid spread of the coronavirus disease 2019 (COVID-19) resulted in serious health, social, and economic consequences. While the development of effective vaccines substantially reduced the severity of symptoms and the associated deaths, we still urgently need effective drugs to further reduce the number of casualties associated with SARS-CoV-2 infections. Machine learning methods both improved and sped up all the different stages of the drug discovery processes by performing complex analyses with enormous datasets. Natural products (NPs) have been used for treating diseases and infections for thousands of years and represent a valuable resource for drug discovery when combined with …

Conversion Of Fat To Cellular Fuel—Fatty Acids 𝛽-Oxidation Model, Sylwester M. Kloska, Krzysztof Pałczyński, Tomasz Marciniak, Tomasz Talaśka, Marissa Miller, Beata J. Wysocki, Paul Davis, Tadeusz A. Wysocki

School of Computing: Faculty Publications

𝛽-oxidation of fatty acids plays a significant role in the energy metabolism of the cell. This paper presents a 𝛽-oxidation model of fatty acids based on queueing theory. It uses Michaelis–Menten enzyme kinetics, and literature data on metabolites’ concentration and enzymatic constants. A genetic algorithm was used to optimize the parameters for the pathway reactions. The model enables real-time tracking of changes in the concentrations of metabolites with different carbon chain lengths. Another application of the presented model is to predict the changes caused by system disturbance, such as altered enzyme activity or abnormal fatty acid concentration. The model has …

Data Analysis Of Lossy Generative Data Compression For Robust Remote Deep Inference, Silvija Kokalj-Filipovic

College of Science & Mathematics Departmental Research

How does compression affect topological data features and can that be related to classification accuracy?