Digital Commons Network^™

Application And Prospect Of Acoustic Detection In The Mining Sector, Deng Jun, Wang Jinrui, Ren Shuaijing, He Qian, Wang Caiping, Qu Gaoyang

Coal Geology & Exploration

Acoustic detection for mines is a geophysical prospecting technique for mine information detection based on acoustic methods. Compared with other detection methods, acoustic detection has the advantages of wide applicability, high reliability, and low economic investment. This paper reviews the development of acoustic detection technology in the mine field and sorts out and expounds on the research progress and technical characteristics of this technology in detecting basic physical information inside mines and geological information outside mines. Furthermore, this study investigates the detection mechanisms, implementation methods, and applicable scenarios of this technology in determining the object states in the field of …

Study On Modification Of Plant Gum Flushing Fluid In Coal-Bearing Strata And Its Mechanism, Xie Chengchao, Wang Sheng, Yan Peng, Chen Liyi, Li Bingle, Zhang Jie

Coal Geology & Exploration

To improve the adverse effects of the depletion of plant gum resources on the application of flushing fluid in complex strata such as coal-bearing strata, a study was conducted on the compound and crosslinking modification of guar gum. A new type of plant gum flushing fluid (GXB) was developed using xanthan gum as the compound synergist and organic boron as the crosslinking modifier, with cross-linking control agent and inorganic treatment agent as the supplementary. Meanwhile, a series of performance evaluation was carried out. The evaluation results show that GXB has excellent performance and can meet the requirements of drilling in …

Assessing Downstream Aquatic Habitat Availability Relative To Headwater Reservoir Management In The Henrys Fork Snake River, Christina N. Morrisett, Robert W. Van Kirk, Sarah E. Null

Watershed Sciences Student Research

Reservoirs are sometimes managed to meet agricultural and other water demands, while also maintaining streamflow for aquatic species and ecosystems. In the Henrys Fork Snake River, Idaho (USA), irrigation-season management of a headwater reservoir is informed by a flow target in a management reach ~95 km downstream. The target is in place to meet irrigation demand and maintain aquatic habitat within the 11.4 km management reach and has undergone four flow target assignments from 1978 to 2021. Recent changes to irrigation-season management to maximize reservoir carryover warranted investigation into the flow target assignment. Thus, we created a streamflow-habitat model using …

From Rote Learning To Deep Learning: Filling The Gap By Enhancing Engineering Students' Reasoning Skills Through Explanatory Learning Activities, Huihui Qi, Minju Kim, Yu Li, Carolyn L. Sandoval, Curt Schurgers, Marko Lubarda, Xuan Emily Gedney, Saharnaz Baghdadchi, Alex M. Phan

Psychology Faculty Articles and Research

Rote learning refers to the superficial learning of concepts and procedures, typically by brute memorization and with little integration into existing cognitive schemas, resulting in poor knowledge retention and inability to apply the knowledge in new and evolving contexts. With rote learning, students usually learn declarative and procedural knowledge but usually do not pay attention to conditional knowledge (when to use what knowledge). As a result, they usually can replicate the problem-solving process in a familiar context but are unable to transfer the knowledge and use the concept for a new application.

This paper explores the use of explanatory learning …

Effects Of Increasing Sintering Pressure On The Performance Of Impregnated Diamond Bit, Yang Zhan, Tan Songcheng, Fang Xiaohong, Yang Kaihua

Coal Geology & Exploration

The matrix formulas of conventional hot-pressed impregnated diamond bits are mostly elemental metal systems, using WC or YG8 as the skeleton materials, Cu alloys as the bonding materials, and Ni, Co, Fe and Mn as the intermediate materials. Due to the compositions and contents of the bonding and skeleton materials in the formulas, the suitable sintering pressure is limited (≤16 MPa), while the sintering temperature is relatively high (≥ 930℃), resulting in a lower relative ratio of the actual and theoretical densities (≤98%) for the diamond bit matrix. However, the high sintering temperature will cause thermal damage to the diamonds, …

Sustainable Supply Chain Management In The Age Of Machine Intelligence: Addressing Challenges, Capitalizing On Opportunities, And Shaping The Future Landscape, Myvizhi Muthuswamy, Ahmed M. Ali

Sustainable Machine Intelligence Journal

In today's rapidly evolving business landscape, the convergence of sustainable supply chain management (SSCM) and machine intelligence, encompassing artificial intelligence (AI) and machine learning (ML), represents a dynamic and transformative nexus. This comprehensive survey paper navigates the intricate terrain of sustainable supply chain practices, delving into its principles, challenges, and the pressing need for organizations to embrace environmental responsibility, ethical sourcing, and social equity. Simultaneously, it explores the disruptive potential of machine intelligence, offering insights into its underlying principles, vast applications, and its pivotal role in optimizing supply chain operations. Through a systematic analysis, this paper uncovers the complex interplay …

Tio2 Crystallization At Room Temperature And Preparation Of Transparent Carbon Counter Electrode For Low-Cost Dye-Sensitized Solar Cells, Muhammad Iqbal Syauqi, Afiten Rahmin Sanjaya, Mohammad Jihad Madiabu, Munawar Khalil, Jarnuzi Gunlazuardi

Makara Journal of Science

We developed a low-cost dye-sensitized solar cell (DSSC) using TiO₂ fabricated via rapid breakdown anodization (RBA) and ultrafast room-temperature crystallization (URTC). The prepared TiO₂ was deposited on a self-made fluorine-doped tin oxide (FTO) conductive glass, and the FTO/TiO₂ system was sensitized using curcumin dye. The DSSC was constructed by sandwiching the FTO/TiO₂/curcumin electrode with an I⁻/I₂ electrolyte and a transparent carbon counter electrode prepared using a liquid–liquid interface system. The characterization results showed that the TiO₂ freshly prepared via URTC was transformed into an anatase crystalline phase, which exhibited a 3.10 …

Molecular Simulation Of B-Cell Epitope Mapping From Nipah Virus Attachment Protein To Construct Peptide-Based Vaccine Candidate: A Reverse Vaccinology Approach, Viol Dhea Kharisma, Farida Aryani Dian, Pavel Burkov, Pavel Scherbakov, Marina Derkho, Ekaterina Sepiashvili, Teguh Hari Sucipto, Arli Aditya Parikesit, Ahmad Affan Ali Murtadlo, Vikash Jakhmola, Rahadian Zainul

Makara Journal of Science

There are no specific drugs or vaccines for Nipah virus (NiV), which is a new Paramyxovirus that infects swine and humans. This study was conducted to investigate B-cell epitope mapping of the NiV attachment glycoprotein and to construct peptide-based vaccine candidates using the reverse vaccinology approach. To generate the linear B-cell epitope, the NiV isolates were extractad from GenBank, NCBI, using the IEDB web server; peptide modeling was conducted using PEP-FOLD3; docking was conducted using PatchDock and FireDock; and in silico cloning was designed using SnapGene. Various peptides were successfully identified from the NiV attachment glycoprotein based on B-cell epitope …

Application Of Photoacoustic Imaging For Pneumonia Detection, Caesarany Maqfiroh, Rini Widyaningrum, Ahmad Mujtahid Anas, Mitrayana Mitrayana

Makara Journal of Science

We used photoacoustic imaging (PAI) to visualize and compare acoustic intensity levels in pneumonia-affected and healthy chicken lungs. After histological confirmation of pneumonia, the samples were scanned and subjected to a 532-nm diode laser in a photoacoustic imaging system. The acoustic intensity level of pneumonia-affected tissue was examined and compared with that of healthy lung samples. The optimum laser frequency and duty cycle for imaging the samples were 17 kHz and 30%, respectively. The acoustic intensity levels of pneumonia-affected tissue and healthy lungs were −82.5 ± 1.8 dB and −79.9 ± 1.3 dB, respectively. We found that a simple PAI …

Study Of Antioxidant Activity Of The Derivatives Of Quinoline-4-Carboxylic Acids By The Modification Of Isatin Via Pfitzinger Reaction, Sakti Hidayati Fikriya, Antonius Herry Cahyana

Makara Journal of Science

In this study, a quinoline-4-carboxylic acid derivative was synthesized through Pfitzinger reaction. In this reaction, isatin is modified via its reaction with ketone and refluxed for 24 h to obtain quinoline-4-carboxylic acid. The presence of a carboxylic group was identified by Fourier Transform Infrared (FTIR) spectroscopy and ultraviolet–visible (UV-Vis) spectrophotometry. The results showed that the absorption peaks of C=O and O–H stretching’s were detected in the range of 1724–1708 and 3436–3242 cm⁻¹, respectively. In the UV-vis spectrum, a shift in the absorption peak was observed toward a larger wavelength, which is referred as a bathochromic shift. The formation …

Physicochemical Changes And Role Of Analytical Chemistry In Black Garlic (Allium Sativum L.) Processing, Surjani Wonorahardjo, Dian Puspita Sari, Arini Salsabila, Estiyawati Estiyawati, Dewi Yuliani, Anugrah Ricky Wijaya, Suharti Suharti, Irma Kartika Kusumaningrum, Chariztya Anggita Maharani, Thjiong Angelina Noviyanti

Makara Journal of Science

Black garlic is a traditional spice having potential of herbal medicine; however, continuous heating darkens its color and changes its taste due to chemical processes and new equilibrium in the system. In this study, fresh garlic was processed into black garlic at 60 °C for 24 days. Changes in physical and chemical parameters, such as browning and protein content, reducing sugar content, and antioxidative components were recorded. Protein content was measured by Kjeldahl method, brown color development was analyzed using a color reader, reducing sugar was examined using a dinitro salicylic DNS reagent, and antioxidative activities were studied with a …

Equilibrium And Kinetic Studies Of Crude Oil Sorption On Unmodified And Modified Napier Grass, Amalachukwu Ifeyinwa Obi, Vincent Ishmael Ajiwe, Chinwe Priscilla Okonkwo

Makara Journal of Science

Nowadays, natural organic adsorbents are widely used to clean up oil from spills owing to their effectiveness, affordability, and biodegradability. In this study, Napier grass, a widely available agricultural material, was used to remove crude oil from aqueous media. The Napier grass was modified via a mild acetylation process to improve its hydrophobicity. The modification increased the Brunauer–Emmett–Teller surface area of the grass from 180.07 to 271.13 m²/g. Fourier-transform infrared analysis revealed that the modification endowed the originally hydrophilic Napier grass with hydrophobicity. The oil sorption processes were based on monolayer physisorption and controlled by film diffusion. The …

Advances In Multiagent Systems Control: Multiplex Information Networks-Based Approaches And Beyond, Kimberly Witke

USF Tampa Graduate Theses and Dissertations

Multiagent systems control designs offer numerous advantages to increasingly complex civilian, military, and scientific tasks ranging from intelligent satellite swarm controls or autonomous traffic controls to remote triage and repair or remote wildlife observation, where the performance of a single agent is insufficient to execute the task at hand. Traditional methods in multiagent systems controls, however, have been infeasible for use in scalable, large-group formation controls.

With this in mind, the contribution of this dissertation is to bridge the gap in knowledge through both theoretical and experimental validation of multiagent systems control architectures. It addresses the challenges presented by unreliable, …

Impact Of Perceived Stress During Oral Examination On Student Performance Outcomes, Alex M. Phan, Minju Kim, Marko V. Lubarda, Curt Schurgers, Huihui Qi

Psychology Faculty Articles and Research

Perceived stress plays an important role in student performance during examinations. There has been substantial research on how examinations impact students' emotional experiences in diverse academic contexts in connection to validity, reliability, and equity of assessment. The potential of some exams to produce increased anxiety in a portion of students has been recognized as a serious threat to these three assessment attributes. In light of this, the need for further studies on the impact of perceived stress on student performance is critical with the recent rise in interest in oral examinations as an assessment tool for large undergraduate courses. This …

Peer Oral Exams: A Learner-Centered Authentic Assessment Approach Scalable To Large Classes, Marko V. Lubarda, Alex M. Phan, Maziar Ghazinejad, Nathan Delson, Saharnaz Baghdadchi, Curt Schurgers, Minju Kim, Josephine Relaford-Doyle, Carolyn L. Sandoval, Huihui Qi

Psychology Faculty Articles and Research

Peer oral exams, a cross between oral exams and peer assessment, were designed and implemented in a high-enrollment undergraduate computer programming course for engineers. The intention was to leverage the educational and implementational advantages of both evidence-based approaches simultaneously. Oral exams, for instance, have been argued to promote conceptual understanding, self-reflection, communication competency, and professional identity formation in students – but their deployment in large classes is resource-demanding and nontrivial, stifling their broader adoption. Peer assessment, on the other hand, is highly scalable and affords students many potential educational benefits of its own, including the benefits of peer-enhanced learning, more …

Deep Learning Enhancement And Privacy-Preserving Deep Learning: A Data-Centric Approach, Hung S. Nguyen

USF Tampa Graduate Theses and Dissertations

Deep Learning and its applications have become attractive to a lot of research recentlybecause of its capability to capture important information from large amounts of data. While most of the work focuses on finding the best model parameters, improving machine learning performance from data perspective still needs more attention. In this work, we propose techniques to enhance the robustness of deep learning classification by tackling data issue. Specifically, our data processing proposals aim to alleviate the impacts of class-imbalanced data and non- IID data in deep learning classification and federated learning scenarios. In addition, data pre-processing strategies such that dimensionality …

Symbiotic Ucyn-A Strains Co-Occurred With El Niño, Relaxed Upwelling, And Varied Eukaryotes Over 10 Years Off Southern California, Colette Fletcher-Hoppe, Yi-Chun Yeh, Yubin Raut, J. L. Weissman, Jed A. Fuhrman

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Biological nitrogen fixation, the conversion of N₂ gas into a bioavailable form, is vital to sustaining marine primary production. Studies have shifted beyond traditionally studied tropical diazotrophs. Candidatus Atelocyanobacterium thalassa (or UCYN-A) has emerged as a focal point due to its streamlined metabolism, intimate partnership with a haptophyte host, and broad distribution. Here, we explore the environmental parameters that govern UCYN-A’s presence at the San Pedro Ocean Time-series (SPOT), its host specificity, and statistically significant interactions with non-host eukaryotes from 2008-2018. 16S and 18S rRNA gene sequences were amplified by “universal primers” from monthly samples and resolved into Amplicon …

Measurements Of Jet Multiplicity And Jet Transverse Momentum In Multijet Events In Proton–Proton Collisions At √S = 13tev, A. Tumasyan

Department of Physics and Astronomy: Faculty Publications

Multijet events at large transverse momentum (p_T) are measured at √ s = 13 TeV using data recorded with the CMS detector at the LHC, corresponding to an integrated luminosity of 36.3 fb⁻¹. The multiplicity of jets with p_T > 50 GeV that are produced in association with a high-p_T dijet system is measured in various ranges of the p_T of the jet with the highest transverse momentum and as a function of the azimuthal angle difference Δφ1,2 between the two highest p_T jets in the dijet system. The differential production …

Optimization Of Cargo Handling Equipment At The Airport, David Šourek

International Material Handling Research Colloquium

No abstract provided.

Transportation Service Provider Collaboration: Benefits And Insights, Steven Roesch, Kimberly Ellis

International Material Handling Research Colloquium

No abstract provided.

Beyond The Ice, Nikolaus T. Butz, Joshua Hunter, Emma Fisher

The Journal of Values-Based Leadership

Leadership is a management tool to direct effective achievement of goals. Historical investigation can provide a valuable lens for the study of leadership styles. To that end, this study examines the disparate approaches of Roald Amundsen and Robert Scott as they raced to be the first explorer to reach the South Pole. The objective of this study is to analyze the leadership techniques used in these expeditions, and to determine how they shaped the outcome of each. The process of tacit knowledge and experience coalesce and foster both leadership and action that is not only communication-oriented and value-driven, but also …

King Charles' Character Education: His Australian School, Now And Then, Elizabeth Summerfield

The Journal of Values-Based Leadership

As a 17 year old in 1966, the then Prince Charles, spent two terms at Geelong Grammar School in Victoria, Australia. He described the experience as the best part of his secondary schooling, and formative of his character. The School was founded in the 1850s as an educational institution of the Anglican Church. By the twenty-first century it became a leading exponent globally of the Positive Education (PE) movement, which has its foundation in Positive Psychology (PP). Critics of PE have argued that it diminishes, even supersedes, the tenets of the School’s Anglican tradition. This paper tests the School’s assertion …

Possible Attacks On Match-In-Database Fingerprint Authentication, Jadyn Sondrol

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

Biometrics are used to help keep users’ data private. There are many different biometric systems, all dealing with a unique attribute of a user, such as fingerprint, face, retina, iris and voice recognition. Fingerprint biometric systems, specifically match-in-database, have universally become the most implemented biometric system. To make these systems more secure, threat models are used to identify potential attacks and ways to mitigate them. This paper introduces a threat model for match-in-database fingerprint authentication systems. It also describes some of the most frequent attacks these systems come across and some possible mitigation efforts that can be adapted to keep …

Probing As A Technique To Understand Abstract Spaces, Ashlen A. Plasek

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

Machine learning models, while very powerful, have their operation obfuscated behind millions of parameters. This obfuscation can make deriving a human meaningful process from a machine learning model very difficult. However, while the intermediate states of a machine learning model are similarly obfuscated, using probing, we can start to explore looking at possible structure in those intermediate states. Large language models are a prime example of this obfuscation, and probing can begin to allow novel experimentation to be performed.

Deep-Learning Realtime Upsampling Techniques In Video Games, Biruk Mengistu

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

This paper addresses the challenge of keeping up with the ever-increasing graphical complexity of video games and introduces a deep-learning approach to mitigating it. As games get more and more demanding in terms of their graphics, it becomes increasingly difficult to maintain high-quality images while also ensuring good performance. This is where deep learning super sampling (DLSS) comes in. The paper explains how DLSS works, including the use of convolutional autoencoder neural networks and various other techniques and technologies. It also covers how the network is trained and optimized, as well as how it incorporates temporal antialiasing and frame generation …

Lidar Segmentation-Based Adversarial Attacks On Autonomous Vehicles, Blake Johnson

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

Autonomous vehicles utilizing LiDAR-based 3D perception systems are susceptible to adversarial attacks. This paper focuses on a specific attack scenario that relies on the creation of adversarial point clusters with the intention of fooling the segmentation model utilized by LiDAR into misclassifying point cloud data. This can be translated into the real world with the placement of objects (such as road signs or cardboard) at these adversarial point cluster locations. These locations are generated through an optimization algorithm performed on said adversarial point clusters that are introduced by the attacker.

Not-So-Super Superfund: Cercla’S Biggest Issues, Cameron Berthiaume

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

The Comprehensive Environmental Response, Compensation and Liability Act (CERCLA/Superfund) is a federal law that allows the Environmental Protection Agency (EPA) to clean up contaminated sites and hold the parties responsible for the contamination financially liable. However, CERCLA faces a number of challenges to fulfilling its mission. This report examines some of the biggest issues facing the law in the past and present.

Can Audits Encourage Tax Evasion?: An Experimental Assessment, Emily Satterthwaite

Florida Tax Review

Governments and tax administrators around the world rely on the premise that audits will deter tax evasion. This Article presents experimental evidence that this premise may be, at least in part, misguided. Counterintuitively, I find that audits presented as random may induce taxpayers to cheat more. Where audits were described as being conducted at random, participants increased their levels of evasion in the tax periods immediately following the audit. This effect, however, did not plague nonrandom audits. When a separate group of participants faced audits that were presented as being nonrandom—participants were told that detected evasion would “flag” a participant …

An Introduction To Consumptive Use Of Water In South Carolina, Heather Bergerud Nix, Mani Rouhi Rad

Journal of South Carolina Water Resources

Effective water resource management requires understanding the supply of and the demand for water. In South Carolina, as in other places, water demand is often determined using total withdrawal volumes. However, the volume of water that is withdrawn can be significantly different from the volume that is actually consumed, which becomes unavailable for downstream uses. Water used for energy generation is commonly excluded from evaluations of total withdrawal volume because it is often assumed to be no or low consumptive use, meaning much of the withdrawn water is returned to the source and remains available for downstream uses. Additionally, energy …

Chlorophyll A Predictions In A Piedmont Lake In Upstate South Carolina Using Machine-Learning Approaches, Ibrahim O. Busari, Debabrata Sahoo, Raghavendra Jana, Charles Privette

Journal of South Carolina Water Resources

Freshwater systems are often breeding grounds for harmful algal blooms (HABs), although they are more dominant in ponds and lakes due to the prevailing conditions in those bodies of water. Therefore, the monitoring, modeling, and management of HABs requires knowledge of the complex interrelationship between factors that influence HABs and their detrimental effect on the ecosystem. High concentrations of chlorophyll a are often used to measure algal blooms in bodies of water. Generally, water samples are collected from the field and the concentration of chlorophyll a is measured in a laboratory and compared to water quality standards in order to …