Digital Commons Network^™

Technologies For Water Hazard Prevention And Control In Burnt Rock Aquifers Within Concealed Burnt Areas, Wang Hai

Coal Geology & Exploration

Burnt rocks are extensively distributed in northwestern China, featuring well-developed pores and fractures and abundant water, emerging as primary aquifers in this region. The burnt rocks in concealed burnt areas in this region show inconspicuous surface remains, complicating their identification. Penetrating burnt rock aquifers in coal mining will lead to water hazard and destroy water resources in these aquifers. To prevent and control water hazard in burnt rocks within concealed burnt areas and preserve water resources in burnt rock aquifers, this study analyzed the distributions of burnt rocks in China and the effects of water in them on coal mining. …

Water Inrush Mechanism And Water-Conducting Fractured Zone’ Developmental Patterns Of A Typical Ultra-Thick Coal Seam In The Huanglong Coalfield During Fully Mechanized Mining, Yan Heping, Li Wenping, Duan Zhonghui, Yang Yugui

Coal Geology & Exploration

The mining of thick coal seams in the Huanglong Jurassic coalfield has led to the formation of high water-conducting fractured zones, which are prone to connect the extremely thick sandstone aquifers of the overlying Cretaceous Luohe Formation. Qinggangping Coal Mine in the coalfield exhibits the typical characteristics of pulsed water inrushes during coal mining, posing a severe threat to safe mining. This study investigated the fully mechanized mining face 42105 in Qinggangping Coal Mine. Using 3DEC discrete element simulation, flushing fluid leakage in boreholes, integrated geophysical exploration, and borehole TV, this study examined the developmental patterns of the water-conducting fractured …

Research On Digital Twin-Driven Tracking, Positioning And Collision Detection Method Of Excavating And Anchoring Equipment, Yang Wenjuan, Zhao Dian, Zhang Xuhui, Chen Xin, Zheng Xili, Liu Yanhui, Zhang Ran, Wan Jicheng

Coal Geology & Exploration

The automation of excavating and anchoring operation is critical for intelligent excavation of coal mine roadway. Aiming at the challenges of relative pose measurement and collision detection during the alternating operation of the current excavating and anchoring equipment, a digital twin-driven tracking, positioning and collision detection method was proposed. Firstly, in order to overcome the influence of low illumination, high dust and complex background interference in the underground excavating face, the multi-point infrared LED target is taken as the information source, the infrared LED feature point image is collected by industrial camera, the center of the spot is extracted using …

Weight And Resistance Reduction Mechanism Of Drilling Rods For Drilling In Soft Coal Seam And Its Application, Wang Yonglong, Guo Jiakuan, Yu Zaijiang, Du Kang, Sun Yuning

Coal Geology & Exploration

Gas drainage boreholes during construction is a necessary means to control gas hazards. In response to the issues such as high drilling resistance, low drilling efficiency, and high labor intensity caused by the significant self-weight of the drilling rod in drilling into the soft coal seams, a research approach of reducing the self-weight and lowering the drilling resistance by optimizing the drilling rod structure was proposed. Thus, a four-winged concave grooved drilling rod was designed to address both of its advancing resistance and rotating torque losses. Meanwhile, a drilling resistance model for the drilling rod was established. On this basis, …

Intelligent Identification Method Of Drilling Fluid Rheological Parameters Based On Machine Learning, Liu Changye, Yang Xianyu, Cai Jihua, Wang Ren, Wang Jianlong, Dai Fanfei, Guo Wanyang, Jiang Guoshe, Feng Yang

Coal Geology & Exploration

The rheology of drilling fluid, which characterizes its flow and deformation, is vital for transporting and suspending rock cuttings as well as for enhancing the drilling rate. Precise control of drilling fluid rheological parameters is essential to ensure borehole cleanliness and efficient drilling. This paper proposes an intelligent identification method for drilling fluid rheological parameters based on Convolutional Neural Networks (CNNs). The method employs magnetic stirring to generate stable images of drilling fluid flow, uses various data augmentation methods to increase the number of images and create a database, thereby enhancing the model’s robustness and generalization capabilities. The AlexNet CNN …

Synergizing Ai, Iot, And Blockchain For Diagnosing Pandemic Diseases In Smart Cities: Challenges And Opportunities, Ibrahim Alrashdi, Ali Alqazzaz

Sustainable Machine Intelligence Journal

The advent of smart cities has paved the way for transformative advancements in healthcare, particularly in the domain of disease diagnosis. In the wake of the COVID-19 pandemic, accurate and timely identification of Pandemic diseases has become paramount. This paper explores the challenges and opportunities in synergizing Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain technologies for diagnosis of Pandemic diseases in smart cities. This study provides an overview of each technology and its relevance to sustainable healthcare in smart cities, emphasizing its potential for analyzing medical data and making informed decisions. We also explore how IoT devices can …

Minnesota Public Assistance Program Utilization Frequency Among Jurisdiction Types, Heather Ann Winkleblack

Walden Dissertations and Doctoral Studies

Despite the 2014 creation of the Minnesota Public Assistance Program (MPAP), no taxpayer program studies covering the 2014-2017 years have been conducted on how the program was distributed for evaluating the communities impacted and determining if there was a difference between years, threshold changes, and jurisdiction type. The purpose of this study was to examine the use of the MPAP for the 2014-2017 years across three different types of jurisdictions: tribal, urban, and rural to assess resource allocation. The study’s theoretical framework was based on Kingdon’s multiple streams theory. A quantitative quasi-experimental approach was used to examine under MPAP (a) …

Context Aware Music Recommendation And Playlist Generation, Elias Mann

SMU Journal of Undergraduate Research

There are many reasons people listen to music, and the type of music is largely determined by what the listener may be doing while they listen. For example, one may listen to one type of music while commuting, another while exercising, and yet another while relaxing. Without access to the physiological state of the user, current music recommendation methods rely on collaborative filtering - recommending music based on what other similar users listen to - and content based filtering - recommending songs based on their similarities to songs the user already prefers. With the rise in popularity of smart devices …

Looking Ahead: Incorporating Ai In Mlis Competencies, Souvick Ghosh, Denise Mccoy

School of Information Student Research Journal

Libraries have long been essential for democratizing knowledge and providing reliable information, extending their services to meet diverse community needs, including educational programs and internet access (Pawley, 2022; Freudenberger, 2022). Librarians, as custodians of information and culture, possess core competencies in information organization, digital literacy, and research skills. The San José State University (SJSU) School of Information (iSchool) aims to educate professionals who significantly impact global communities through high-quality education, research, and technology innovation. This article examines the Master of Library and Information Science (MLIS) program at SJSU iSchool, focusing on the evolution of its 14 core competencies to incorporate …

Foresight: Trusting And Using The Information From Data Analytics To Support Decision-Making In Pharmaceutical Manufacturing, Marcus O’Mahony, Paul Bassett, Alan Kavanagh, Anthony Maguire, Aoife Corrigan, Barry Malone, Michael Walshe, Siobhán Griffin, Thomas Coleman, Margot Holland, Kate Courtney, Carl Rafferty, Anne Greene, Damon Warnock

Journal of Applied Pharmaceutical Regulatory Science

Background: Data is not information. Information is actionable. Data, alone, is not. This distinction has significant risk management consequences when using data to support decision-making in the highly regulated pharma and biopharma manufacturing sector. A new framework is proposed to support the trustworthy use of the information generated from data, by data analytics, for effective risk-based decision-making. The emergence of a standardised approach for using such information is essential to avoid duplication and divergence of efforts across the sector. Ensuring that any proposed approach aligns with regulatory expectations for the sector is also essential.

Methods: Through an industry-academic collaboration, over …

Rela&Onship Between The Height Of Graphene And Its Adhesion Value, Tyler Larson

Senior Theses

Two-dimensional materials, such as graphene, have remarkable proper&es. As one of the thinnest, strongest, and most conduc&ve materials known to humanity, graphene holds promise for revolu&onizing numerous technological applica&ons. These applica&ons all require different numbers of layers of graphene. However, with graphene being so thin it is difficult to quickly determine how many layers there are. By using an adhesion value and a height value of graphene one may be able to iden&fy the number of layers more accurately.

Optical Thickness Determination Of Hexagonal Boron Nitride By Color, Jacob Slifka

Senior Theses

No abstract provided.

Investigating The Connectedness Of A Gorbonos Insect Swarm, Brendan Perez

Senior Theses

No abstract provided.

Knowing Others And Ourselves, Mark Phelan

Convocations

Lawrence University celebrated the accomplishments of students, faculty, and staff at the annual Honors Convocation Friday afternoon, May 24, 2024.

The Convocation followed a Thursday evening Honors Awards Ceremony and Reception, where 144 students, two student organizations, and five faculty and staff were celebrated with awards that spanned the entire university experience: from academic honors in the College of Liberal Arts and Sciences and Conservatory of Music to leadership in Student Life and Athletics.

The Honors Convocation, the third and final convocation of the academic year, highlighted those accomplishments and celebrated this year’s Faculty Convocation Award recipient, Mark Phelan, professor …

Classification Of Major Solar Flares From Extremely Imbalanced Multivariate Time Series Data Using Minimally Random Convolutional Kernel Transform, Kartik Saini, Khaznah Alshammari, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

Computer Science Faculty and Staff Publications

Solar flares are characterized by sudden bursts of electromagnetic radiation from the Sun’s surface, and are caused by the changes in magnetic field states in active solar regions. Earth and its surrounding space environment can suffer from various negative impacts caused by solar flares, ranging from electronic communication disruption to radiation exposure-based health risks to astronauts. In this paper, we address the solar flare prediction problem from magnetic field parameter-based multivariate time series (MVTS) data using multiple state-of-the-art machine learning classifiers that include MINImally RandOm Convolutional KErnel Transform (MiniRocket), Support Vector Machine (SVM), Canonical Interval Forest (CIF), Multiple Representations Sequence …

Understanding The Complexities Of Student Learning Progress In Texas: A Study Of Covid-19 And Rural Vs. Non-Rural Districts, Shifang Tang, Zhuoying Wang, Lei Zhang, David Jimenez

Faculty Publications

In this study, we investigate the impact of COVID-19 on academic achievement in Texas public schools. Demographic and Grade 5 STAAR test data were collected from 1155 public school districts for 2018–2019 and 2020–2021. Multiple regression was adopted to analyze the differences between rural and non-rural districts, as well as the impact of demographic characteristics on students’ achievement. The results reveal significant differences in demographic characteristics between the two academic years, with non-rural districts exhibiting a greater decline in academic achievement than rural districts. Additionally, the findings suggest that higher teacher salaries correlate with better academic performance across various subjects …

Rheological Properties And 3d Printing Behavior Of Pcl And Dmso2 Composites For Bio-Scaffold, Jae-Won Jang, Kyung-Eun Min, Cheolhee Kim, Chien Wern, Sung Yi

Mechanical and Materials Engineering Faculty Publications and Presentations

The significance of rheology in the context of bio three-dimensional (3D) printing lies in its impact on the printing behavior, which shapes material flow and the layer-by-layer stacking process. The objective of this study is to evaluate the rheological and printing behaviors of polycaprolactone (PCL) and dimethyl sulfone (DMSO₂) composites. The rheological properties were examined using a rotational rheometer, employing a frequency sweep test. Simultaneously, the printing behavior was investigated using a material extrusion 3D printer, encompassing varying printing temperatures and pressures. Across the temperature range of 120–140 °C, both PCL and PCL/DMSO₂ composites demonstrated liquid-like behavior, …

Development Of Quantum True Random Number Generators And Implementation On Ibm Cloud Lab, Vaishnavi K

Theses and Dissertations

Random numbers are the lifeline of any cryptographic operation in modern computing. Quantum mechanics has the intrinsic ability to generate truly random numbers, making it an ideal alternative for scientific applications that require high-quality randomness. Quantum True Random Number Generators (QTRNGs) can yield real random data to replace random-looking periodic sequences. To construct such a random number generator, this work uses the IBM Q Experience platform called Qiskit.

This research focuses on the development and analysis of quantum-based TRNGs along with their prime characteristics. Qubits and quantum gates are the predominant sources of true randomness on quantum platforms. These inherent …

A Review Of The Toxicity Of Ingredients In E-Cigarettes, Including Those Ingredients Having The Fda's "Generally Recognized As Safe (Gras)" Regulatory Status For Use In Food., Nada O F Kassem, Robert M. Strongin, Andrea M. Stroup, Marielle C. Brinkman, Ahmad El-Hellani, Hanno C. Erythropel, Arash Etemadi, Vernat Exil, David H. Peyton, Multiple Additional Authors

Chemistry Faculty Publications and Presentations

Some firms and marketers of electronic cigarettes (e-cigarettes; a type of electronic nicotine delivery system (ENDS)) and refill liquids (e-liquids) have made claims about the safety of ingredients used in their products based on the term "GRAS or Generally Recognized As Safe" (GRAS). However, GRAS is a provision within the definition of a food additive under section 201(s) (21 U.S.C. 321(s)) of the U.S. Federal Food Drug and Cosmetic Act (FD&C Act). Food additives and GRAS substances are by the FD&C Act definition intended for use in food, thus safety is based on oral consumption; the term GRAS cannot serve …

The Lewis Acidity Of Imidazole-Derived Diaryliodonium Zwitterions, Cyrus Rose

University Honors Theses

Diaryliodonium salts can be used as effective aryl-transfer agents in reactions to form novel molecules with diverse applications including pharmaceuticals and agrochemicals without using harsh reaction conditions and transition metal reagents. In recent years, interest in the applications of the Lewis acidity of iodonium ion catalysts has increased. Despite this, the quantification of the Lewis acidities of diaryliodonium salts are scarce. Even rarer, there has not been much study into the Lewis acidities of zwitterionic diaryliodonium salts. For zwitterions, there is no counter anion that would come into consideration in regard to its Lewis acidity. To expand the understanding of …

Multi-Scale Variability Of Heavy Metals In A Snowpack In The Triple Divide Region Of The Western United States, Kelsey Hefner

University Honors Theses

Natural and anthropogenically sourced particulates are deposited from the atmosphere to landscapes via dry and wet deposition, making frozen winter snowpack a natural archive of atmospheric elemental composition. In the Western United States, wildfires are increasing in extent, duration, and severity. Severe fires remove forest canopy, impacting how atmospheric elements are dispersed and stored across snow-dominated watersheds. We evaluated concentrations of twelve elements in 397 winter snow core samples from a chronosequence of eight forests that burned with mixed severity from 2000 to 2018 in the Triple Divide region of Western Wyoming, the headwaters of the Columbia, Colorado, and Missouri …

Mantle Sources And Geochemical Evolution Of The Picture Gorge Basalt, Columbia River Basalt Group, Emily B. Cahoon, Martin J. Streck, Richard W. Carlson, Ilya N. Bindeman

Geology Faculty Publications and Presentations

The Columbia River Basalt Group (CRBG) is the youngest continental flood basalt province, proposed to be sourced from the deep-seated plume that currently resides underneath Yellowstone National Park. If so, the earliest erupted basalts from this province, such as those in the Picture Gorge Basalt (PGB), aid in understanding and modeling plume impingement and the subsequent evolution of basaltic volcanism. Using geochemical and isotopic data, this study explores potential mantle sources and magma evolution of the PGB. Long known geochemical signatures of the PGB include overall large ion lithophile element (LILE) enrichment and relative depletion of high field strength elements …

Databases And Privacy Compliance, Nick Scope

College of Computing and Digital Media Dissertations

Data privacy requirements are a complex and quickly evolving part of the data management domain. How long data must be retained, when data must be destroyed, and under what conditions data is processed is subject to rules from a variety of sources. There is a focus on data privacy and protection resulting in rules from a variety of sources including government requirements (e.g., United States Health Insurance Portability and Accountability Act and the European Union's General Data Protection Regulation).

Within a database, a single value within a row can be subject to multiple requirements on how long it must be …

Beyond The Human: Crossovers For An Onto-Epistemological Bifurcation, Ester Toribio-Roura

Articles

Building upon recent studies in new materialisms and feminist critical posthumanism with a focus on human and more-than-human relationships, this paper examines how the posthuman paradigm, by postulating the queering of identit(ies) via entanglement with the more-than-human (including technology), and by offering a critical examination of diverse modes of existence within a broader ecological context, can foster more inclusive and ethically sound ways of being in the world. Although posthumanism encompasses a wide range of perspectives and theories, including transhumanism, at its core, it challenges traditional notions of humanism, blurring the boundaries between what is human and what is more-than-human, …

Valid Confidence Intervals For Μ,Σ When There Is Only One Observation Available, Anirban Dasgupta, Stephen Portnoy

Mathematics and Statistics Faculty Publications and Presentations

Portnoy (2019) considered the problem of constructing an optimal confidence interval for the mean based on a single observation X ∼ N(µ, σ2). Here we extend this result to obtaining 1-sample confidence intervals for σ and to cases of symmetric unimodal distributions and of distributions with compact support. Finally, we extend the multivariate result in Portnoy (2019) to allow a sample of size m from a multivariate normal distribution where m may be less than the dimension.

A Pilot Acceptability Evaluation Of Mommind: A Digital Health Intervention For Peripartum Depression Prevention And Management Focused On Health Disparities, Alexandra Zingg, Amy Franklin, Angela Ross, Sahiti Myneni

Faculty, Staff and Student Publications

Health disparities cause significant strain on the wellbeing of individuals and society. In this study, we focus on the health disparities present in the condition of Peripartum Depression (PPD), a significant public health issue. While PPD can be managed through therapy and medication, many women do not receive adequate PPD treatment due to issues of social stigma and limited access to healthcare resources. Digital health technologies can offer practical tools for PPD management. However, current solutions do not integrate behavior theory and are rarely responsive to the transient information needs stemming from women's unique sociodemographic, clinical and psychosocial profiles. We …

Clonal Evolution Of Hematopoietic Stem Cells After Cancer Chemotherapy, Hidetaka Uryu, Koichi Saeki, Hiroshi Haeno, Chiraag Deepak Kapadia, Ken Furudate, Jyoti Nangalia, Michael Spencer Chapman, Li Zhao, Joanne I Hsu, Chong Zhao, Shujuan Chen, Tomoyuki Tanaka, Zongrui Li, Hui Yang, Courtney Dinardo, Naval Daver, Naveen Pemmaraju, Nitin Jain, Farhad Ravandi, Jianhua Zhang, Xingzhi Song, Erika Thompson, Hongli Tang, Latasha Little, Curtis Gumbs, Robert Z Orlowski, Muzaffar Qazilbash, Kapil Bhalla, Simona Colla, Hagop Kantarjian, Rashmi Kanagal Shamanna, Carlos Bueso- Ramos, Daisuke Nakada, P Andrew Futreal, Elizabeth Shpall, Margaret Goodell, Guillermo Garcia-Manero, Koichi Takahashi

Faculty, Staff and Students Publications

Normal hematopoietic stem and progenitor cells (HSPCs) inherently accumulate somatic mutations and lose clonal diversity with age, processes implicated in the development of myeloid malignancies 1 . The impact of exogenous stressors, such as cancer chemotherapies, on the genomic integrity and clonal dynamics of normal HSPCs is not well defined. We conducted whole-genome sequencing on 1,032 single-cell-derived HSPC colonies from 10 patients with multiple myeloma (MM), who had undergone various chemotherapy regimens. Our findings reveal that melphalan treatment distinctly increases mutational burden with a unique mutation signature, whereas other MM chemotherapies do not significantly affect the normal mutation rate of …

“Everyone Here Is Smarter Than Me”: Imposter Phenomenon Among Indian Women Returning To Technology Careers After A Career Break, Swati Singh, Sita Vanka

Journal of International Women's Studies

Research on the imposter phenomenon (IP) is burgeoning. Most research, however, has studied the role of personality factors, attitudinal disposition, and individual beliefs as a determinant of IP. Surprisingly, the role of context has not been explored enough. Recent research indicates that context can trigger the experience of the imposter phenomenon. This study confirms these results and calls for contextualizing IP from a systemic or organizational perspective rather than as a personal challenge. In this study, we argue that women returning to careers in the technology fields after a career break may experience IP due to contextual and situational factors. …

Moralistic Science: Socio-Cultural Norms About Sexuality In Indian Biology Education, Panchami Jose, Sugra Chunawala, Deepa Chari

Journal of International Women's Studies

This paper takes the position that the discourses of science and morality are not distinct within biology education; rather, they inform each other to produce, discipline, and regulate human sexuality. Our analysis of the medical and moral discussion on sexuality in a secondary school science textbook (the 12th standard National Council for Educational Research and Training textbook), along with insights from interviews with teachers, reveals that the texts portray a romanticized notion of sex that is limited to a monogamous heterosexual relationship. In the first part of the paper, we analyze how the biology textbook discusses “safer sex” in the …

Factors Affecting Adherence To Antiretroviral Therapy Among People Living With Hiv/Aids In Antigua And Barbuda, Yuliecia Antoinette Rowe-Harris Mrs, Chirlynor Ebora Calbayan Mrs, Kepha Odiwuor Pondi Mr

Adventist Human-Subject Researchers Association

This study examined factors affecting adherence to antiretroviral therapy (ART) among people living with HIV/AIDS in Antigua and Barbuda. The findings identified multiple variables, emphasizing the dynamic components affecting ART adherence. These findings address a local gap and provide insights into the unique adherence challenges faced by a vulnerable population.