Landscape Design: Putting Your Yard on Paper — Site Measurements and Base Maps by Gail Hansen, Erin Alvarez

“…ENH1166/EP427: Landscape Design: Putting Your Yard on Paper—Site Measurements and Base Maps (ufl.edu) …”
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Diagnosis and decision making for current oxidative and reductive bleaching treatments used on paper by Sigourney Smuts

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Call for Papers Special Issue on Data-Driven Spatial and Temporal Anomaly Detection

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Selected Papers from the International Conference on Nuclear Energy for New Europe 2007 by Igor Jenčič, Ivo Kljenak, Martina Adorni

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Complete List of Papers Published in Moscow University Bulletin of World Politics in 2019 by article Editorial

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Short Paper - A Note on Robust Combinatorial Optimization with Generalized Interval Uncertainty by Yaman, Hande

“…In this paper, we consider a robust combinatorial optimization problem with uncertain weights and propose an uncertainty set that generalizes interval uncertainty by imposing lower and upper bounds on deviations of subsets of items. …”
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Call for Papers——Special Issue on Intelligent Network Video Advances Based on Transformers

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List of Papers Published in “Energetika” Journal, 2022. I. Тhematic index by article editotial

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Feasibility of Terahertz Time-Domain Spectroscopy to Detect Carbendazim Mixtures Wrapped in Paper by Binyi Qin, Zhi Li, Zhihui Luo, Huo Zhang, Yun Li

“…The purpose of this work was to detect carbendazim mixtures wrapped in paper. Unlike previous reports of THz-TDS for detecting pesticide residue, this work focused on detecting pesticide residue in packaged foods. …”
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On the Readiness of Scientific Data Papers for a Fair and Transparent Use in Machine Learning by Joan Giner-Miguelez, Abel Gómez, Jordi Cabot

“…We examine a sample of 4041 data papers of different domains, assessing their coverage and trends in the requested dimensions and comparing them to those from an ML-focused venue (NeurIPS D&B), which publishes papers describing datasets. …”
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Call for Papers—Special Issue on Edge AI Empowered Giant Model Training by Dongxiao Yu, Xu Chen, Zhipeng Cai

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Pandemics and intergenerational justice. Vaccination and the wellbeing of future societies. FRFG policy paper by Jörg Tremmel

Subjects: “…Vaccination and the wellbeing of future societies. FRFG policy paper…”
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Complete List of Papers Published in Moscow University Bulletin of World Politics in 2020 by Article Editorial

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Statistical Analysis of Data From Electronic Component Lifetests (A Tutorial Paper) by J. Møltoft

“…Attention is finally given to the effect of two or more failure mechanisms which can produce S-shaped patterns when data is plotted on Weibull Graph paper.…”
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TEMPLATE JCEC by Editorial Team/Equipe Editorial JCEC

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Template JCEC by Editorial Team/Equipe Editorial JCEC

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Éditorial. Décrire des données, publier une éthique

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Physical and Mechanical Properties of Green Cementless Mortar Incorporating Waste Paper Sludge Ash by Aida Nabila Jamaluddin, Siti Asmahani Saad, Siti Aliyyah Masjuki, Wan Nur Firdaus Wan Hassan, Siti Noratikah Che Deraman, Nadiah Md Husain

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The prevention opportunities of retinopathy in diabetic patients – position paper endorsed by the Polish Lipid Association by Maciej Banach, Stanisław Surma, Grzegorz Dzida, Jacek Jóźwiak, Bogusław Okopień, Jacek Rysz, Konrad Szosland, Andrzej Grzybowski

“…Thus, given the obesity (the prevalence of 30% in Poland) and diabetes (10% which is predicted to be doubled in next 25 years) epidemic, we should look for the effective methods not only to optimize fasting blood glucose and haemoglobin A1C, but also atherogenic dyslipidaemia and their complications, including retinopathy. In this Position Paper by the Polish Lipid Association (PoLA) we have reviewed the current stage of knowledge on possible mechanisms by which fenofibrate may contribute to retinopathy prevention, available data on safety and efficacy, to finally recommend administering fenofibrate in prevention of this dangerous diabetic complication, which significantly affects quality of life and disability-adjusted life-years (DALY). …”
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Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper. by Faye Orcales, Lucy Moctezuma Tan, Meris Johnson-Hagler, John Matthew Suntay, Jameel Ali, Kristiene Recto, Phelan Glenn, Pleuni Pennings

“…Given that ML is likely to become an ever more important tool in medicine, we believe that it is important for pre-health students and others in the life sciences to learn to use ML tools. This paper provides a step-by-step tutorial to train 4 different ML models (logistic regression, random forests, extreme gradient-boosted trees, and neural networks) to predict drug resistance for Escherichia coli isolates and to evaluate their performance using different metrics and cross-validation techniques. …”
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