Digital Commons Network^™

Quitting Smoking After A Cancer Diagnosis Is Associated With High-Risk Neutrophil-To-Lymphocyte Ratio Among Tobacco Use-Related Cancer Survivors, You Lu, Katherine Kwong, James Wells, Andrea Edwards, Zhong Chen, Tung-Sung Tseng, Kun Zhang

School of Public Health Faculty Publications

Quitting smoking could potentially minimize the risk of a high neutrophil-to-lymphocyte ratio (NLR) among tobacco use-related (TUR) cancer survivors. A total of 1263 TUR cancer survivors aged 20 to 85 years old were investigated using data from the National Health and Nutritional Examination Survey 1999-2018. The primary outcome was the NLR, which was defined as having two levels: high-risk (≥ 3) and low-risk (< 3). The association between smoking cessation time and a high-risk NLR level was analyzed using weighted logistic regression models. Overall, the current smoking rate of TUR cancer survivors was found to be 21.7%. Older age (75 years above), gender and respiratory-related cancers are covariables associated with high risk of NLR levels for individual who identified as Non-Hispanic White (NHW). Non-Hispanic Black (NHB) (n = 27) who quit smoking after a cancer diagnosis were associated with the highest risk of a high NLR (OR 4.83, 95% CI 1.40-16.61, p = 0.01) compared to NHB nonsmokers (n = 139). These findings suggest that the risk of a high NLR level is strongly associated with the time of smoking cessation in NHB TUR cancer survivors. As a result, NHB TUR cancer survivors should quit smoking as soon as possible because the benefits of quitting smoking were observed over the 5 year period following smoking cessation.

Course Re-Design: What’S New On Campus, Jim Gigantino, David Jensen, Kathryn Zawisza

TFSC Publications and Presentations

In a session designed to impact how you think about designing your classes, Dr. Jim Gigantino, Interim Vice Provost for Academic Affairs, will lead a discussion of the new modes of delivery that will be available on campus and some information about the mixed mode pilot that will be undertaken in the fall of 2023.

Dr. David Jensen, Associate Professor of Mechanical Engineering, will discuss a course he designed to be taught in a mixed mode form and share how he has been using the materials the last couple of semesters. He will provide examples from his class along with …

Sugars And Cuticular Waxes Impact Sugarcane Aphid (Melanaphis Sacchari) Colonization On Different Developmental Stages Of Sorghum, Juan David Betancurt Cardona, Sajjan Grover, Michael J. Bowman, Lucas Busta, Pritha Kundu, Kyle G. Koch, Gautam Sarath, Scott E. Sattler, Joe Louis

Department of Entomology: Faculty Publications

Sugarcane aphid (SCA; Melanaphis sacchari) is a devastating pest of sorghum (Sorghum bicolor) that colonizes sorghum plants at different growth stages. Leaf surface characteristics and sugars often influence aphid settling and feeding on host plants. However, how changes in cuticular waxes and sugar levels affect SCA establishment and feeding at different development stages of sorghum have not been explored. In this study, two- and six-weekold BTx623 plants, a reference line of sorghum, was used to evaluate plant-aphid interactions. Monitoring aphid feeding behavior using Electrical Penetration Graph (EPG) technique revealed that aphids spent more time in the sieve …

Appeal No. 1014: Miley Gas Company V. Division Of Oil & Gas Resources Management, Ohio Oil & Gas Commission

Ohio Oil & Gas Commission Decisions

Review of Chief's Order 2022-156 (Plug Order, Bond/Weirton Steel 12 Well)

Appeal No. 1022: Peter J. & Beth B. Dewitt V. Division Of Oil & Gas Resources Management, Ohio Oil & Gas Commission

Ohio Oil & Gas Commission Decisions

Review of Chief's Order 2022-285; Oliver CR Mon North Unit (EAP Ohio, LLC)

Attention-Based Explainability Approaches In Healthcare Natural Language Processing, Haadia Amjad, Mohammad Ashraf, Syed Sherazi, Saad Khan, Muhammad Moazam Fraz, Tahir Hameed, Syed Ahmad Chan Bukhari

Management Faculty Publications

Artificial intelligence (AI) systems are becoming common for decision support. However, the prevalence of the black-box approach in developing AI systems has been raised as a significant concern. It becomes very crucial to understand how an AI system makes decisions, especially in healthcare, since it directly impacts human life. Clinical decision support systems (CDSS) frequently use Natural Language Processing (NLP) techniques to extract information from textual data including Electronic Health Records (EHRs). In contrast to the prevalent black box approaches, emerging ’Explainability’ research has improved our comprehension of the decision-making processes in CDSS using EHR data. Many researches use ’attention’ …

Review: “The White Lotus” Season One, Owen Mayer

Digital Edition

An independent student produced newspaper from the University of New Hampshire.

Unh Men’S Hockey: Wildcats Sweep Series With #13 Uconn For 4th Straight Win, Evan Mullings

Digital Edition

An independent student produced newspaper from the University of New Hampshire.

Foreign Currency Refinancing Operations, Banca D'Italia/Central Bank Of Italy

Documents

No abstract provided.

Our Response To The Coronavirus Pandemic, European Central Bank (Ecb)

Documents

No abstract provided.

Ofr Financial Stress Index, United States: Department Of The Treasury: Office Of Financial Research (Ofr)

Documents

No abstract provided.

Governing Board - Danish Fsa, Danish Government: Danish Financial Supervisory Authority (Dfsa)

Documents

No abstract provided.

Foreign Currency Refinancing Operations, Banca D'Italia/Central Bank Of Italy

Documents

No abstract provided.

Consolidated Reports Of Condition And Income For A Bank With Domestic And Foreign Offices - Ffiec 031, Silicon Valley Bank Financial Group

Documents

No abstract provided.

Demand Forecasting Method Of Emergency Materials Based On Metabolic Gray Markov, Long Ma, Baodong Qin, Na Lu, Meng Kou

Journal of System Simulation

Abstract: In order to improve the prediction accuracy of the demand for emergency materials of people affected by the disaster, a forecasting method based on metabolism-gray Markov's is proposed. To realize the dynamic prediction of the number of people affected by the disaster, according to demand forecast ideas, the prediction model of metabolism-gray Markov fused is constructed progressively through gray, Markov and metabolism theories. A flexible demand forecasting model for emergency supplies is built through safety stock theory to complete the balance of supply and demand between people number and the materials demand. The prediction results of different …

Online Classification Method For Motor Imagery Eeg With Spatial Information, Fengwei Yang, Peng Chen, Kai Xi, Hualin Pu, Xueyin Liu

Journal of System Simulation

Abstract: EEG-based BCI system can help the daily life and rehabilitation training of limb movement disorders patients. Due to the low signal-to-noise ratio and large individual differences of EEG signals, the accuracy and efficiency of EEG feature extraction and classification are not high, which affects the wide application of online BCI system. A CNN with spatial information is proposed for the online classification of MI-EEG signals. The reordered MI-EEG is convolved horizontally and vertically respectively. With the contralateral effect of motor imagery ERD/ERS phenomenon, the spatial information in MI-EEG is fully utilized to achieve the real-time acquisition and classification of …

A Simulation Method Of Airborne Radar Real-Time Detection Based On Three-Dimensional Subdivision, Ying Xu, Shuai Zhang, Zhige Xie, Xinhai Xu, Manhui Sun, Ning Guo

Journal of System Simulation

Abstract: The emergence and rapid development of UAVs make the target detection of UAV airborne radar in combat simulation great research valuable. In the existing combat simulation platforms at home and abroad, the detection relationship between radar and target is pairwise interactive, and the calculation overhead increases linearly or ultra-linear following the increase of entity numbers, which is difficult to carry out the large-scale real-time combat simulation. Based on the concept of three-dimensional meshing, an airborne radar target detection simulation method is proposed, which can quickly judge the success or failure of detection by making a detection template before simulation …

Design And Implementation Of Industrial Robot Remote Monitoring System In Cloud Manufacturing, Yongkui Liu, Lin Zhang, Yingfu Liu, Jianyong Feng, Bo Yu, Wenbo Niu

Journal of System Simulation

Abstract: Considering the lack of the existing research on cloud manufacturing monitoring system and the lack of scalability and flexibility of existing remote monitoring system, and taking deep reinforcement learning-based industrial robot intelligent grasping as an application scenario, a micro-service architecture-based remote monitoring system for cloud manufacturing is developed, to carry out the requirement analysis and design of the monitoring system, and the remote monitoring of industrial robot intelligent grasping processes is realized. Test results show that the system can meet the monitoring requirements of resource providers, platform operator(s) and service consumers.

Research On Digital Twin Credibility Assessment Process And Index, Fan Yang, Ping Ma, Wei Li, Ming Yang

Journal of System Simulation

Abstract: With the application field expansion of digital twin technology, in order to meet the requirement of digital twin credibility and promote the digital twin credibility assessment, the credibility assessment process and indicators of digital twin are researched. The development process of digital twin is analyzed and the construction method of flexible multi-layer digital twin credibility assessment process model based on IDEF0 is proposed. Two index systems, process-stage-activity layers(P-S-A) and activity-element-feature layers(A-E-F),are proposed to solve the problems of defect backtracking and evaluation of complex objects. Several examples of index system are given.

Research On Real-Time Gesture Classification Algorithm Based On Imu And Semg Mixed Signals, Tao Wang, Yingnian Wu, Rui Yang, Yueying Sun

Journal of System Simulation

Abstract: In order to improve the gesture classification accuracy of surface electromyography (sEMG), the mixed signal of attitude and sEMG is collected by inertial measurement unit (IMU) and EMG sensor, and a GRU-BiLSTM double-layer network real-time gesture classification algorithm is proposed. The first layer of gated recurrent unit (GRU) detects the mutation point of the initial mixed signal though energy combination operator feature and locates the starting point of the dynamic data. The second layer Bi-directional long short term memory (BiLSTM) classifies the motion state mixed signal into 10 gestures in two directions though energy kernel phase map feature. …

Machine Learning-Based Simulation Research Of On-Line Subway Pedestrian Flow Control, Jiajie Shi, Peng Yang, Yannan Pi

Journal of System Simulation

Abstract: In recent years, a large number of digital experiments have been carried out in the field of space launch, such as digital design verification, digital joint training and simulation training, and rocket-ground joint simulation evaluation, all of which involve the space launch information visualization. Through virtual reality technology, system simulation technology, data visualization technology, etc., on the basis of multi-thread, multi-module architecture design idea, and message queue system interaction mode, the space launch visual simulation analysis technology platform with functions of data management, scenario management, calculation management, and script management is constructed. The application cases of visual simulation analysis …

Takeout Distribution Routes Optimization Considering Order Clustering Under Dynamic Demand, Houming Fan, Fushan Xian, Huaiqi Wang

Journal of System Simulation

Abstract: Takeout distribution optimization includes order allocation and route planning. Aiming at dynamic order and rider position change, with the goal of minimizing the overtime order proportion, average delivery time and average travel distance,a two-stage mathematical model is established based on the idea of pre-optimization and dynamic adjustment. In the pre-optimization stage, an improved variable neighborhood search algorithm is designed to obtain the initial distribution scheme. In the dynamic adjustment stage, a periodic optimization strategy is adopted to transform the problem into a virtual distribution center vehicle problem for solution. In each stage,different clustering methods are used to optimize the …

Research On Cooperative Path Planning Model Of Multiple Unmanned Vehicles In Real Environment, Guohui Zhang, Xuan Wang, Yanan Zhang, Ang Gao

Journal of System Simulation

Abstract: The cluster combat application of unmanned ground vehicles(UVS) is a hot research issue of the intersection of artificial intelligence and battle command. Aiming at the cooperative path planning multiple unmanned vehicles not meeting the dynamic threat condition requirement, by combining the global path planning algorithm A-STAR with the local path planning algorithm RL, from the perspective of perception to behavioral decision making, the cooperative path planning model of multiple unmanned vehicles is studied. The cooperative combat situation threat algorithm, state and action space, reward function and sphere of influence function are designed, the sub-models of formation configuration strategy generation …

Dqn-Based Joint Scheduling Method Of Heterogeneous Tt&C Resources, Naiyang Xue, Dan Ding, Yutong Jia, Zhiqiang Wang, Yuan Liu

Journal of System Simulation

Abstract: Joint scheduling of heterogeneous TT&C resources as research object, a deep Q network (DQN) algorithm based on reinforcement learning is proposed. The characteristics of the joint scheduling problem of heterogeneous TT&C resources being fully analyzied and mathematical language being used to describe the constraints affecting the solution, a resource joint scheduling model is established. From the perspective of applying reinforcement learning, two neural networks with the same structure and the action selection strategies based onεgreedy algorithm are respectively designed after Markov decision process description, and DQN solution framework is established. The simulation results show that DQN-based heterogeneous …

2023-February-16-Kacl Releases Spring Schedule.Pdf, Iversity Marketing And Communication, East Tennessee State University

ETSU News

KINGSPORT (Feb. 16, 2023) – The Kingsport Alliance for Continued Learning (KACL), now celebrating its 30^th anniversary, will offer its spring classes from March 14-April 21, focusing on a variety of subjects from science, local history and government to world travel and healthy living.

This six-week series of non-credit courses, presented in partnership with East Tennessee State University at Kingsport, is open to anyone. There are no homework assignments, grades or tests. Classes will be held on Tuesdays, Wednesdays and Thursdays from 10 a.m.-noon in room 130 at the Kingsport Center for Higher Education (KCHE), 300 W. Market St. …

Transportation Safety Culture: Where We Are And What It Means, Tara Beth Goddard

PSU Transportation Seminars

Like any healthy professional community, the transportation safety community is not homogenous or without constructive conflict. The increased attention on systems thinking – most commonly known, if not necessarily well understood, under the “Vision Zero” approach – has sparked debate among engineers, planners, academics, public health professionals, advocates, and others about where our attention should be focused to reduce the epidemic of traffic violence. The built environment? Drivers? Engineers and planners? Car culture? What IS car culture? Dr. Goddard brings together her research conducted with colleagues on police crash reporting processes, NHTSA crash investigations, attitudes and effects of the language …

High Prep Uptake And Objective Longitudinal Adherence Among Hiv-Exposed Women With Personal Or Partner Plans For Pregnancy In Rural Uganda: A Cohort Study, Lynn T. Matthews, Esther Atukunda, Moran Owembabazi, Christina Psaros, David Bangsberg, Multiple Additional Authors

OHSU-PSU School of Public Health Faculty Publications and Presentations

Background

In Uganda, fertility rates and adult HIV prevalence are high, and many women conceive with partners living with HIV. Pre-exposure prophylaxis (PrEP) reduces HIV acquisition for women and, therefore, infants. We developed the Healthy Families-PrEP intervention to support PrEP use as part of HIV prevention during periconception and pregnancy periods. We conducted a longitudinal cohort study to evaluate oral PrEP use among women participating in the intervention.

Methods and findings

We enrolled HIV–negative women with plans for pregnancy with a partner living, or thought to be living, with HIV (2017 to 2020) to evaluate PrEP use among women participating …

Capricious Weather, Larry Burgess

Materials from the University of Dayton Magazine Website

It’s winter in Dayton, but will we have winter weather?

Honoring The Maafa, Nick Thompson

Materials from the University of Dayton Magazine Website

University of Dayton honors the plight of Africans brought to America into slavery with Maafa Commemoration Week.

Messaging In Mongolian, Mary Kate Newman

Materials from the University of Dayton Magazine Website

The University of Dayton men’s basketball social media team has been taken over by Mongolian fandom.