On the Road With Golden State Warriors Forward Jonathan Kuminga, Who Does Not Mess With Onion Rings
But the Congolese hooper loves a classic American dessert.
But the Congolese hooper loves a classic American dessert.
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The Corsair MP600 Elite ranks very high performance-wise among the host memory buffer (HMB) SSDs we’ve tested. It’s worthy of your NVMe 4.0 short list if you’re not continually writing very large files. Читать дальше...
The Cornell Global Labor Initiative proposes new outcomes metrics to strengthen the EU's newly passed ESG reporting rules.
Casa Água located in Eldorado do Sul, RS. The desire of the residents to live close to the water gave the name to the house. The project, developed by the office of Stemmer Rodrigues Architecture, brings this atmosphere to a residence of over 450 m².
by Pusheng Guo, Yurong Wang, Jiayun Xu, Zhixiang Yang, Ziqi Zhang, Jinyi Qian, Jiexiong Hu, Ziyi Yin, Leiyun Yang, Muxing Liu, Xinyu Liu, Gang Li, Haifeng Zhang, Ryan Rumsey, Ping Wang, Zhengguang Zhang
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by Shahid Mehmood, Maham Rasool, Masood Ahmed, Hossam Haddad, Nidal Mahmoud Al-Ramahi
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by Srobana Sarkar, B. Lal, Priyanka Gautam, R. S. Bhatt, A. Sahoo
Carbon foot prints (CFs) studies based on life cycle assessment between sheep farming systems and green house gases (GHG) emissions is one of the best indicators to quantify the amount of GHG emissions per kg of product. Therefore, a life cycle assessment (LCA) study was conducted for three different sheep farming systems i.e. intensive system (stall fed only), semi-intensive (grazing with supplementation) and extensive system... Читать дальше...
by S. Scott Graham, Savannah Shifflet, Maaz Amjad, Kasey Claborn
The goal of this study is to develop and validate a lightweight, interpretable machine learning (ML) classifier to identify opioid overdoses in emergency medical services (EMS) records. We conducted a comparative assessment of three feature engineering approaches designed for use with unstructured narrative data. Opioid overdose annotations were provided by two harm reduction paramedics and two supporting annotators trained to reliably match expert annotations. Читать дальше...
by Tingting Huang, Bernice Leung, Yuyang Huang, Laura Price, Jiang Gui, Bonnie W. Lau
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by Anique R. Ahmad, Samuel Ridgeway, Ahmed A. Shibl, Youssef Idaghdour, Aashish R. Jha
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by Stephan Gehring, Frank Kowalzik, Omar Okasha, Tobias Engelmann, Daniel Schreiner, Christian Jensen, Aline Mähringer-Kunz, Wendy Hartig-Merkel, Thao Mai Phuong Tran, Cornelia Oostvogels, Thomas Verstraeten
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by Irshad Ahmed Abbasi, Saeed Ullah Jan, Abdulrahman Saad Alqahtani, Adnan Shahid Khan, Fahad Algarni
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by Razia Liaqat, Shafaq Fatima, Wajeeha Komal, Qandeel Minahal, Zakia Kanwal, Muhammad Suleman, Chris G. Carter
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by Vincent A. Opoku, Michael O. Adu, Paul A. Asare, Justice Asante, Godswill Hygienus, Mathias N. Andersen
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by Wang Xiang, Zezhi Wang, Xin Pan, Xiaobing Liu, Xuedong Yan, Li Chen
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by Seong Eun Kwak, Amy Zheng, Edward B. Arias, Haiyan Wang, Xiufang Pan, Yongping Yue, Dongsheng Duan, Gregory D. Cartee
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by Daniela Numberger, Ursula Siebert, Peter Valentin Weigand
Marine mammals are sentinel species representing the “health” of our oceans on which we are dependent. There are many threats to marine mammals including infectious diseases that increase with climate change and pollution of the marine environment. Streptococcus phocae has frequently been isolated from diseased or dead marine mammals. However, its pathogenicity and contribution to disease in marine mammals is still unknown. As bacteria... Читать дальше...
by Qiang Fu, Ninglan Ma, Xuanwei Liu, Yue Zhang, Juntong Zhan, Su Zhang, Jin Duan, Yingchao Li
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by Wancheng Huang, Yuan Tian
Reservoir reconstruction, where parameter prediction plays a key role, constitutes an extremely important part in oil and gas reservoir exploration. With the mature development of artificial intelligence, parameter prediction methods are gradually shifting from previous petrophysical models to deep learning models, which bring about obvious improvements in terms of accuracy and efficiency. However, it is difficult to achieve large amount of data acquisition required... Читать дальше...
by Suzanna Joseph, Cason B. Robbins, Alice Haystead, Angela Hemesath, Ariana Allen, Anita Kundu, Justin P. Ma, Burton L. Scott, Kathryn P. L. Moore, Rupesh Agrawal, Vithiya Gunasan, Sandra S. Stinnett, Dilraj S. Grewal, Sharon Fekrat
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by Bishnu Maya K. C., Janardan Lamichhane, Sanjay Nath Khanal, Dhurva Prasad Gauchan
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by J. Sunil Rao, Tianhao Liu, Daniel Andrés Díaz-Pachón
We argue that information from countries who had earlier COVID-19 surges can be used to inform another country’s current model, then generating what we call back-to-the-future (BTF) projections. We show that these projections can be used to accurately predict future COVID-19 surges prior to an inflection point of the daily infection curve. We show, across 12 different countries from all populated continents around the world, that our... Читать дальше...
by Izzal Asnira Zolkepli, Rehan Tariq, Pradeep Isawasan, Lalitha Shamugam, Hasrina Mustafa
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by Yanzhong Sun, Xiaoni Du, Shufen Niu, Siwei Zhou
In the environment of big data of the Internet of Things, smart healthcare is developed in combination with cloud computing. However, with the generation of massive data in smart healthcare systems and the need for real-time data processing, traditional cloud computing is no longer suitable for resources-constrained devices in the Internet of Things. In order to address this issue, we combine the advantages of fog computing and propose a... Читать дальше...
by Xiaolong Shi, Saeed Kosari, Saira Hameed, Abdul Ghafar Shah, Samee Ullah
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