Physical Sciences and Mathematics Commons^™

Data For: Channel Response To Flow Augmentation: Diamond Fork River, Ut Dataset, Diane Wagner, Peter Wilcock

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A river's physical features and channel dimensions are determined by the water and sediment supplied to it. The Diamond Fork River, located in central Utah–received large trans-basin diversion flows from 1915-2003, providing an exceptional opportunity to explore the response of a river to a large increase in flow.

Our project goals were to describe 1) channel response to this large and long artificial flow augmentation and 2) how the channel recovered after the removal of the diversion flows. The objective of this thesis is to document the channel condition throughout the 20th century to present day as a basis for …

Papain-Catalyzed Synthesis Of Oligolysine In Low-Water Organic Reaction Media, Lakshmi Priya Ravikrishna, Krishnamurthi Tamilarasan, Vairamani Mariappanadar, Shubhender Kapila, Mathur Rajesh

Chemistry Faculty Research & Creative Works

Oligopeptides of l-lysine have the potential for applications in various scientific and technical areas. The number of residues in polycationic compounds such as oligolysine is also reported to have an effect on its biological properties. Hence, there is a necessity for developing efficient oligolysine synthesis methods where the oligopeptide dispersity can be tailored, along with optimum yield values. The ability of proteases to reverse their proteolytic activity to synthesize peptides has been reported in the literature. However, protease-catalyzed synthesis of oligopeptides of basic amino acids such as lysine in aqueous buffers is hindered by unfavorable thermodynamics. In this work, a …

First-Principles Study Of Mxene Properties With Varying Hydrofluoric Acid Concentration, Yi Zhi Chu, Megan Hoover, Patrick Ward, Kah Chun Lau

Michigan Tech Publications, Part 2

With varying hydrofluoric acid (HF) concentrations under three etching conditions, we presented a comparative study of the effects of both the ordered and randomly ternary mixed terminated Ti3C2Tx surfaces with a wide variation of O/OH/F stoichiometry on the thermodynamic stability and electronic properties. Regardless of the HF concentration, an OH-rich surface is found to be thermodynamically stable and the electrical conductivity of Ti3C2Tx is substantially affected by the OH concentration. The charge density difference and electron localization function demonstrated a significant electron localization at the hydroxyl group on the O/OH/F mixed terminated surface, which could yield a locally induced dipole …

Detection Of Small Drizzle Droplets In A Large Cloud Chamber Using Ultrahigh-Resolution Radar, Zeen Zhu, Fan Yang, Pavlos Kollias, Raymond A. Shaw, Alexander Kostinski, Steve Krueger, Katia Lamer, Nithin Allwayin, Mariko Oue

Michigan Tech Publications, Part 2

A large convection-cloud chamber has the potential to produce drizzle-sized droplets, thus offering a new opportunity to investigate aerosol-cloud-drizzle interactions at a fundamental level under controlled environmental conditions. One key measurement requirement is the development of methods to detect the low-concentration drizzle drops in such a large cloud chamber. In particular, remote sensing methods may overcome some limitations of in situ methods. Here, the potential of an ultrahigh-resolution radar to detect the radar return signal of a small drizzle droplet against the cloud droplet background signal is investigated. It is found that using a small sampling volume is critical to …

Ligaplant: Recreating Natural From Artificial, Disha Kamavisdar

Annual Research Symposium

Missing teeth can be substituted by the use of the dental implants. The most widely used implants in the current scenario are the osseointegrated implants with various shortcomings and the most prominent one is the lack of the periodontal ligament. To overcome this, implants with periodontal ligaments can be procured and this can be possible by the application of the tissue engineering concept along with suitable implant material.

Application Of In-Silico Computational Biology Strategies To Demonstrate Mechanism Of Oral Cancer Cell Death By Natural Peptide, Dr Dominic Augustine

Annual Research Symposium

This research work is designed to identify biomolecules from Earthworm Coelomic Fluid (ECF) of Eudrilus Eugeniae (EE) that can inhibit oral cancer cells from proliferating. The study aims to construct a homology model of the 18 kDa protein from ECF of EE (18-ECFP) with molecular dynamics simulation (MDS) to enable its molecular docking with pro-apoptotic caspase receptors with determination of binding energy scores. The study also evaluates the anti-cancer potential of 18-ECFP on SCC-9 cells in vitro by wet lab techniques.

Pathogenic Implications Of Candidal Species In Both Oral Cancer And Oral Potentially Malignant Disorders - A Review, Dr Dominic Augustine, Sowmya Sv, Kuntala Mondal

Annual Research Symposium

Oral squamous cell carcinoma (OSCC) is the 6th most common cancer in worldwide. Cigarette smoking, alcohol consumption, and betel quid chewing are its major risk factors other factors that can lead to OSCC include excessive sun exposure, viral or fungal infection, poor nutrition, and poor oral hygiene. The carcinogenesis of OSCC occurs gradually and oral epithelial dysplasia is considered a potential histologic precursor of OSCC. Most OSCC cases are preceded by clinically evident oral potentially malignant disorders (OPMDs). The aim of this review is to correlate the association between Candida species and oral potentially malignant disorders and its possible mechanisms …

Immunohistochemical Expression Of Cyclin D1 In Dentigerous Cyst, Odontogenic Keratocyst And Unicystic Ameloblastoma- An In-Vitro Study, Kuntala Mondal, Sv Sowmya, Dominic Augustine

Annual Research Symposium

Cyclin D1, a G1 cyclin member, regulates the transition of the cell cycle from the G1 phase to the S phase. The uncontrolled and elevated expression of cyclin D1 has been associated with rapid growth, heightened proliferative activity and increased histologic aggressiveness. Unicystic ameloblastoma pertains to cystic lesions that present clinical, radiographic, or gross features akin to jaw cysts. Nevertheless, upon histological scrutiny, these lesions display a distinctive ameloblastomatous epithelium lining the cystic cavity, with or without luminal or mural proliferation. This cystic variant of tumor bears substantial resemblances to dentigerous cysts, and occasionally, both entities can become indistinguishable upon …

An Immunohistochemical Panel For The Accurate Differentiation Between Mucoepidermoid Carcinoma And Pleomorphic Adenoma, Kuntala Mondal, Sv Sowmya, Dominic Augustine

Annual Research Symposium

Salivary Gland Tumors (SGTs) are a diverse group of neoplasms, with a wide range of histological subtypes, some of which can exhibit overlapping features. Amongst this group of tumors, Pleomorphic Adenoma (PA) and Mucoepidermoid Carcinoma (MEC) stand out as prevalent entities originating from the salivary glands. The accurate differentiation between these two entities is crucial for treatment planning, as it influences decisions regarding the extent of surgical resection. Because of the overlapping histopathological features, it is difficult to differentiate these two lesions with the help of conventional Hematoxylin & Eosin (H& E). The evaluation of Immunohistochemical (IHC) markers holds pivotal …

Cheiloscopic Characteristics Detection And Pattern Classification By Machine Learning Technique, Dr Dominic Augustine, Sowmya Sv

Annual Research Symposium

Machine Learning (ML) is a field enhancing the rapid growth of technology. Though use of digital softwares for cheiloscopic investigations have been attempted with limited success, the use of ML based techniques are scarce and seldom have been employed in forensic odontology. The present study aimed to identify cheiloscopic patterns through machine learning based methods and to correlate the segmented patterns with age and gender of individuals.

Association Between Abo Blood Grouping And Odontometry: An Unexplored Evidence In Forensics, Dr Dominic Augustine, Sowmya Sv

Annual Research Symposium

Recent research has exhibited a strong association between ABO blood groups and susceptibility to diseases. Extraoral and intraoral hard tissue landmarks provide a stable and reliable record for odontological and anthropological analysis, forensic investigations and identification. The association between anthropometric indices and ABO blood grouping have been reported in the past, however, the association between ABO blood groups and odontometric indices is yet to be comprehensively explored. This study aimed to establish the correlation of ABO blood groups with odontometric indices and extraoral hard tissue landmarks for personnel identification.

Advanced Techniques For Tooth Pulp Rna Extraction In Forensic Investigations-A Systematic Review, Kuntala Mondal, Sv Sowmya, Dominic Augustine

Annual Research Symposium

Teeth are fundamental structures in a forensic context due to their high strength and specificity. It is challenging to obtain high quality RNA from pulpal tissues. It has been described that pulp RNA degradation could be an indicator of post-mortem interval. Researchers have been in the quest to develop optimal techniques for tooth RNA extraction. The systematic review aimed to determine the most reliable method of RNA extraction from dental tooth pulp for forensic investigations.

Assessment Of Micrometastasis In Lymph Nodes Of Oral Squamous Cell Carcinoma –Attaining Excellence Through Immunohistochemistry, Dr Dominic Augustine, Sowmya Sv, Kuntala Mondal

Annual Research Symposium

Cervical lymph node metastasis is the most important prognostic factor in Squamous Cell Carcinoma of Head and Neck (SCCHN). Lymph node prognostic determinants hold immense significance in influencing both patient’s survival outcomes and the propensity for recurrence. The current study aimed to evaluate the diagnostic accuracy of Cyclin D1 and Pan-CK for the detection of lymph node micrometastasis in oral squamous cell carcinoma tissue sections and re-evaluate the tumor staging.

Harm Reduction Measures In Substance Use Disorder (Sud), Kent Wood

Annual Research Symposium

This literature review aims to comprehensively analyze harm reduction strategies employed in addressing Substance Use Disorder (SUD). Focusing on key interventions such as fentanyl testing strips, naloxone distribution, syringe exchange programs, and methadone/buprenorphine clinics, the study seeks to evaluate the effectiveness of these approaches in reducing the associated harms of substance misuse.

Substance Use Disorder –The Role Of The Pharmacist, Mackenzie Cruzan

Annual Research Symposium

The study illuminates the pivotal role of community pharmacists as accessible healthcare providers, offering medication management, patient education, and preventive care services. Simultaneously, it explores the intricate responsibilities of inpatient pharmacists, emphasizing their involvement in therapeutic monitoring and collaboration with healthcare teams.

Clinical, Radiographic And Biochemical Evaluation Of One-Piece Vs Two-Piece Single Implants After 5 Years Of Functional Loading, Ippolito Caputo

Annual Research Symposium

The aim of this study was to compare the clinical and radiographic conditions and the expression of proinflammatory cytokines in peri-implant crevicular fluid (PICF) of two-piece/bone level (TP/BL) versus one-piece/tissue level (OP/TL) single implants with a laser-microgrooved collar after at least 5 years of functional loading.

Anti-Erosion Potential Of Fluoride Solutions Associated With Aminomethacrylate Copolymer: In Situ Randomized Crossover Study, Taiana Paola Prado, Karine Carvalho Dos Santos, Carlos Rocha Gomes Torres, Tais Scaramucci, Idalina Vieira Aoki, Alessandra Buhler Borges

Annual Research Symposium

The anti-erosion potential of fluoride solutions associated with aminomethacrylate (AMC) was evaluated in the presence of acquired pellicle on enamel and dentin. It is concluded that AMC was able to increase the anti-erosion potential of fluoride solutions in the presence of acquired pellicle.

Butterworth Filter To Reduce Reactivity Fluctuations, Daniel Suescún-Díaz, Geraldyne Ule-Duque, Luis E. Cardoso-Páez

Karbala International Journal of Modern Science

In this study, we introduce the calculation of reactivity in nuclear reactors. The proposed method uses the Euler-Maclaurin series to approximate the integral in the inverse equation of point kinetics. The approximation is done with the first three terms, the first term represents the approximation of a zero-order sum, the second term the trapezoidal rule and the third term the first Bernoulli number. These three terms improve the approximation, along with an estimate of the neutron density using the prompt jump approximation. To reduce neutron density fluctuations, a second-order Butterworth filter for the reactivity calculation was implemented, which offers the …

Research On Vehicle Detection Method Based On Improved Yolox-S, Xiliu Zhang, Xiaoling Zhang, Minjun He

Journal of System Simulation

Abstract: A improved vehicle detection model based on multi-scale feature fusion of YOLOX network is proposed to solve the problem of missing and false detection of small vehicle targets. Ghost-cross stage partial(CSP) based on the depth separable convolution is designed to replace part of cross stage partial in network to speed up the speed of detection. The max pooling mode of model is improved to Softpool mode, and coordinate attention mechanism is introduced to enhance the feature expression of target to be detected and to optimize the problem of target missing detection. Focal Loss is selected as the confidence loss …

Optimal Scheduling Strategy Of Virtual Power Plant With Carbon Emission And Carbon Penalty Considering Uncertainty Of Wind Power And Photovoltaic Power, Jijun Shui, Daogang Peng, Yankan Song, Qiang Zhou

Journal of System Simulation

Abstract: To better meet the development needs of China's new power system, an optimal scheduling strategy of virtual power plant(VPP) with carbon emission and carbon penalty considering the uncertainty of wind power and photovoltaic power is proposed. The mathematical description of photovoltaic(PV), wind turbine(WT), combined heat and power(CHP) unit and energy storage system (ESS) is carried out, and a wind-solar output model considering the uncertainty is established. The scenario generation and reduction method is used to generate the typical scenario. To maximize the overall operation benefit of VPP, considering carbon emission cost and carbon penalty, an optimal scheduling model of …

Gaussian Rbf Kernels Via Fock Spaces: Quaternionic And Several Complex Variables Settings, Antonino De Martino, Kamal Diki

Mathematics, Physics, and Computer Science Faculty Articles and Research

In this paper, we study two extensions of the complex-valued Gaussian radial basis function (RBF) kernel and discuss their connections with Fock spaces in two different settings. First, we introduce the quaternionic Gaussian RBF kernel constructed using the theory of slice hyperholomorphic functions. Then, we consider the case of Gaussian RBF kernels in several complex variables.

2024 February 15 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Purification And Isolation Of Α-Chloro-Β-Lactone Precursor Molecules, Matthew Ellis

ASPIRE 2024

This research investigates the synthesis of α-chloro-β-lactone molecules, focusing on the production, isolation, and purification of two precursor compounds from chloroacetic acid and substituted benzaldehydes. While multiple methods were explored, including EDC, DIC, and DCC catalysis, DCC proved to be most effective in producing higher yields. However, challenges in purification arose due to the formation of byproducts, particularly with DCC, prompting further investigation for efficient extraction and purification techniques. DCC, however, shows a promising route for α-chloro-β-lactone synthesis, despite purification complexities.

Euler’S Prime-Producing Polynomial Revisited, Robert Heffernan, Nick Lord, Des Machale

Department of Mathematics Publications

Euler’s polynomial f (n) = n2 + n + 41 is famous for producing 40 different prime numbers when the consecutive values 0, 1, …, 39 are substituted: see Table 1. Some authors, including Euler, prefer the polynomial f (n − 1) = n2 − n + 41 with prime values for n = 1, …, 40. Since f (−n) = f (n − 1), f (n) actually takes prime values (with each value repeated once) for n = −40, −39, …, 39; equivalently the polynomial f (n − 40) = n2 − 79n + 1601 takes (repeated) prime values …

Short-Term Bus Passenger Flow Prediction Based On Convolutional Long-Short-Term Memory Network, Jing Chen, Zhaochong Zhang, Linkai Wang, Mai An, Wei Wang

Journal of System Simulation

Abstract: To address the problem that the traditional short-time passenger flow prediction method does not consider the temporal characteristics similarity between the inter-temporal passenger flows, a shorttime passenger flow prediction model k-CNN-LSTM is proposed by combining the improved k-means clustering algorithm with the CNN and the LSTM. The k-means is used to cluster the intertemporal timeseries data, the k-value is determined by using the gap-statistic, and a traffic flow matrix model is constructed. A CNN-LSTM network is used to process the short-time passenger flows with spatial and temporal characteristics. The model is tested and parameter tuned by the real dataset. …

Dynamic Spatio-Temporal Anomaly-Aware Correlation Filtering Object Tracking Algorithm, Yunfei Qiu, Xiangrui Bu, Boqiang Zhang

Journal of System Simulation

Abstract: In view of the fact that the background perception algorithm does not establish a relationship with the spatio-temporal domain characteristics of the target, and cannot accurately deal with the occlusion, deformation and other abnormal tracking, a object tracking algorithm which can adaptively perceive the spatio-temporal anomalies is proposed. In the training stage of correlation filter, the adaptive spatial regularization term is introduced to establish a relationship with the spatio-temporal characteristics of sample. The abnormal perception method is proposed according to the peak value of response map. Taking advantage of the different confidence of historical filter and the continuity of …

Simulation Platform Of Agv System Scheduling Algorithms In Uncertain Environment, Zhihao Shi, Haihui Shen

Journal of System Simulation

Abstract: As a complete automated guided vehicle(AGV) system scheduling algorithm, it must include conflict-handling strategy, together with common dispatching strategy and routing algorithm. However, due to the uncertainty, characteristics of such scheduling algorithm are difficult to be analyzed theoretically, and the relevant study is lacking. An AGV system simulation platform based on the discreteevent simulation technique is designed and developed, which can flexibly set the scheduling problem, choose the dispatching strategy, routing algorithm, and conflict-handling strategy for the scheduling algorithm, to run the simulation. The platform has a visual interface, from which the running status of AGVs and the performance …

Research On Motion Planning Of Hexapod Robot Based On Drl And Free Gait, Xinpeng Wang, Huiqiao Fu, Guizhou Deng, Kaiqiang Tang, Chunlin Chen, Canghao Liu

Journal of System Simulation

Abstract: To improve the passability and the motion performance of the hexapod robot in the unstructured environment, a multi-contact motion planning algorithm based on DRL and free gait planner is proposed. Firstly, the free gait planner obtains the reachable footholds under the target state and outputs the optimal gait sequence. The center of mass motion policy of the hexapod robot in the randomly generated plum blossom pile environment is obtained by using deep reinforcement learning training. To ensure the reachability between adjacent states of the robot in motion, the state transition feasibility model is used to judge the state transition …

Design Of 3d Visualization Monitoring System For Oil Field Pumping Unit Based On Unity3d, Liqiang Liu, Wenlei Sun, Yi Wang, Bingkai Wang

Journal of System Simulation

Abstract: Aiming at the defects of single monitoring form, low degree of 3D visualization and poor linkage of pumping unit, the information-physical real-time mapping is introduced to develop the 3D visualization monitoring system for oil field pumping unit. The digital space of pumping unit are designed and the design architecture of virtual-real interaction layer is built. The composition and relation framework of 3D visualization system are built. Combined with the inverse kinematics, the mathematical model is built, and the overall architecture of the pumping unit 3D visualization system is designed based on the five-dimensional model and Unity3D platform. The beam …

Fault Detection Based On Sliding Window And Multiblock Convolutional Autoencoders, Jianpeng Mou, Weili Xiong

Journal of System Simulation

Abstract: In order to further improve the fault detection performance and fully mine the timing and hidden feature information, a fault detection method based on convolutional auto encoder is proposed. On the basis of modeling the original information set, the modeling of cumulative information and rate of change information is added to enhance the mining of implicit information; The three reconstructed information sets are sampled by sliding windows, and time series feature extraction and modeling are performed based on convolutional auto encoders. Bayesian fusion of the decision results of the convolutional auto encoder is performed to obtain the statistics, and …