Changes in Nutrition, Food Safety, and Physical Activity Behaviors: A Comparison Between the Peak Health and Performance and Teen Cuisine Curricula by Tyler B. Becker, Ronald J. Gibbs Jr.

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Duodenal Histoplasmosis Presenting with Upper Gastrointestinal Bleeding in an AIDS Patient by Michael A. Spinner, Heather N. Paulin, C. William Wester

“…., CD4+ cell counts  cells/mm3) who reside in endemic areas (Ohio or Mississippi river valleys) and/or have a prior history of histoplasmosis. …”
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Predicting debris flow pathways using volume-based thresholds for effective risk assessment by A. Rajaneesh, V. K. Krishnapriya, K. S. Sajinkumar, Nikhil Nedumpallile Vasu, Cees van Westen, Thomas Oommen, Ali P. Yunus, Vanessa J. Banks, A. P. Pradeepkumar

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A Midwest Perspective on Biochar Integration in Extension by Blake C. Colclasure, Elizabeth Bose, Jack Dempsey, Taylor K. Ruth

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Examining the Experiences of College Students Simulating the Community Worker Role in the Community Action Poverty Simulation by Jessica M. Limbrick, Portia Johnson, Sheri Worthy, Diann C. Moorman, Leigh Anne Aaron

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A Spatial Index for Identifying Opportunity Zones for Woody Cellulosic Conversion Facilities by Xia Huang, James H. Perdue, Timothy M. Young

“…These highly desirable zones were located in Central Mississippi, Northern Arkansas, South central Alabama, Southwest Georgia, Southeast Oklahoma, Southwest Kentucky, and Northwest Tennessee.…”
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The Influence of Precipitation and Consecutive Dry Days on Burned Areas in Yunnan Province, Southwestern China by Feng Chen, Zhaofei Fan, Shukui Niu, Jingming Zheng

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Sex and race disparities in emergency department patients with chest pain and a detectable or mildly elevated troponin by Lucas M. Boyer, Anna C. Snavely, Jason P. Stopyra, Subha V. Raman, Jeffrey M. Caterino, Carol L. Clark, Alan E. Jones, Michael E. Hall, Carolyn J. Park, Brian C. Hiestand, Sujethra Vasu, Michael A. Kutcher, W. Gregory Hundley, Simon A. Mahler, Chadwick D. Miller

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Flow-Mediated Dilatation: Learning Curve Study with a Novice Operator by Arko S. Dhar, Marie Fisk, Carmel M. McEniery, Domonkos Cseh

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Mutation at the Human D1S80 Minisatellite Locus by Kuppareddi Balamurugan, Martin L. Tracey, Uwe Heine, George C. Maha, George T. Duncan

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Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects by M. Ammar Alzarrad, Gary P. Moynihan, Muhammad T. Hatamleh, Siyuan Song

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Mixed-Effects Model to Assess the Effect of Disengagements on Speed of an Automated Shuttle with Sensors for Localization, Navigation, and Obstacle Detection by Abhinav Grandhi, Ninad Gore, Srinivas S. Pulugurtha

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Exploring the Role of Mass Media in Enhancing Farmer-to-Farmer Extension Activities in Bosomtwe District, Ghana by Anthony K. Appiah, Enoch K. Tham-Agyekum, Fred Nimoh, John-Eudes A. Bakang, Fred Ankuyi

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Oxytocin attenuates demand for cocaine in female rats by Amy S. Kohtz, Hannah Davies, Belle Lin, Gary Aston-Jones

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Artificial intelligence in dentistry and dental biomaterials by Dinesh Rokaya, Dinesh Rokaya, Ahmad Al Jaghsi, Ahmad Al Jaghsi, Ahmad Al Jaghsi, Rohan Jagtap, Viritpon Srimaneepong

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NEWS You Can Use— Helping Older Adults Make Informed Food Choices by Chih-Cheng Lu, Sarah Francis

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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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Cultivation of straw mushroom (Volvariella volvacea) on oil palm empty fruit bunch growth medium by Sugeng Triyono, Agus Haryanto, Mareli Telaumbanua, Jamalam Lumbanraja, Filip To

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The Wandering Character in the Coen Brothers’ Films: When the Southern Gothic Meets the Western by Julie Assouly

“…(2000), both taking place in Mississippi. Dishonest preachers, traveling salesmen or runaway prisoners have replaced cowboys and bounty hunters in the Coens’ Southern films, but their whereabouts are always used as a pretext to discover American regionalisms. …”
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Logical reasoning for human activity recognition based on multisource data from wearable device by Mahmood Alsaadi, Ismail Keshta, Janjhyam Venkata Naga Ramesh, Divya Nimma, Mohammad Shabaz, Nirupma pathak, Pavitar Parkash Singh, Sherzod Kiyosov, Mukesh Soni

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