A QSAR-based application for the prediction of lethal blood concentration of new psychoactive substances

Autor: Tarcisio Correa, Jéssica Sales Barbosa, Thiara Vanessa Barbosa da Silva, Thiala Soares Josino da Silva Parente, Danielle de Paula Magalhães, Wanderley Pinheiro Holanda Júnior

Publikováno v: Emerging Trends in Drugs, Addictions, and Health, Vol 4, Iss , Pp 100156- (2024)

The rapid development and introduction of new psychoactive substances (NPS) into illegal markets present an enormous challenge for forensic toxicologists, as there is limited knowledge about their toxicity in humans. To strengthen forensic interpreta

Externí odkaz: https://doaj.org/article/8c9cff8184fd41feb60a077c2e7f5b7f

Actual Cost of Extracorporeal Cardiopulmonary Resuscitation: A Time-Driven Activity-Based Costing Study

Autor: Vinodh B. Nanjayya, Mstr Biostat, Alisa M. Higgins, PhD, Laura Morphett, Dip Management, Sonny Thiara, MD, Annalie Jones, RN, Vincent A. Pellegrino, MD, Jayne Sheldrake, MSc, Stephen Bernard, PhD, David Kaye, PhD, Alistair Nichol, PhD, D. James Cooper, MD

Publikováno v: Critical Care Explorations, Vol 6, Iss 7, p e1121 (2024)

OBJECTIVES:. To determine the actual cost and drivers of the cost of an extracorporeal cardiopulmonary resuscitation (E-CPR) care cycle. PERSPECTIVE:. A time-driven activity-based costing study conducted from a healthcare provider perspective. SETTIN

Externí odkaz: https://doaj.org/article/ad3f7b33a92f42a78d66cc534689c0a1

Consentimento e esclarecimento: dever e direito à informação em odontologia

Autor: Zilda Betânia Barbosa Medeiros de Farias, Márcia Maria Fonseca da Silveira, Richardson Silva, Rebeka Thiara Nascimento dos Santos, Ana Paula Veras Sobral

Publikováno v: Revista Bioética, Vol 32 (2024)

Resumo Estudos acerca do consentimento informado de paciente no âmbito da odontologia são escassos e apresentam divergências, evidenciando a necessidade de aprofundar o conhecimento sobre definições, dinâmica, atos normativos, jurisprudência e

Externí odkaz: https://doaj.org/article/32952925332a4c66bf6ada3f01dd6d13

Analysis of the fight against the COVID-19 pandemic in long-term care facilities in the pre-vaccination period

Autor: Jáder Freitas Maciel Garcia de Carvalho, Rodrigo Ribeiro dos Santos, Alcimar Marcelo do Couto, Juliana Santos Neves, Flávia Lanna de Moraes, Cristiana Ceotto Deslandes, Viviane Rodrigues Jardim, Thiara Joanna Peçanha da Cruz Tavares, Raquel Souza Azevedo, Edgar Nunes de Moraes

Publikováno v: Brazilian Journal of Infectious Diseases, Vol 28, Iss 3, Pp 103748- (2024)

Introduction: The COVID-19 pandemic has disproportionately affected individuals residing in Long-Term Care Facilities (LTCFs), necessitating tailored strategies to manage outbreaks. This study examines the outcomes of the ILPI BH project, a collabora

Externí odkaz: https://doaj.org/article/37a8b5cddd0d427db71cb146e9a7f65d

First-Generation Inference Accelerator Deployment at Facebook

Autor: Anderson, Michael, Chen, Benny, Chen, Stephen, Deng, Summer, Fix, Jordan, Gschwind, Michael, Kalaiah, Aravind, Kim, Changkyu, Lee, Jaewon, Liang, Jason, Liu, Haixin, Lu, Yinghai, Montgomery, Jack, Moorthy, Arun, Nadathur, Satish, Naghshineh, Sam, Nayak, Avinash, Park, Jongsoo, Petersen, Chris, Schatz, Martin, Sundaram, Narayanan, Tang, Bangsheng, Tang, Peter, Yang, Amy, Yu, Jiecao, Yuen, Hector, Zhang, Ying, Anbudurai, Aravind, Balan, Vandana, Bojja, Harsha, Boyd, Joe, Breitbach, Matthew, Caldato, Claudio, Calvo, Anna, Catron, Garret, Chandwani, Sneh, Christeas, Panos, Cottel, Brad, Coutinho, Brian, Dalli, Arun, Dhanotia, Abhishek, Duncan, Oniel, Dzhabarov, Roman, Elmir, Simon, Fu, Chunli, Fu, Wenyin, Fulthorp, Michael, Gangidi, Adi, Gibson, Nick, Gordon, Sean, Hernandez, Beatriz Padilla, Ho, Daniel, Huang, Yu-Cheng, Johansson, Olof, Juluri, Shishir, Kanaujia, Shobhit, Kesarkar, Manali, Killinger, Jonathan, Kim, Ben, Kulkarni, Rohan, Lele, Meghan, Li, Huayu, Li, Huamin, Li, Yueming, Liu, Cynthia, Liu, Jerry, Maher, Bert, Mallipedi, Chandra, Mangla, Seema, Matam, Kiran Kumar, Mehta, Jubin, Mehta, Shobhit, Mitchell, Christopher, Muthiah, Bharath, Nagarkatte, Nitin, Narasimha, Ashwin, Nguyen, Bernard, Ortiz, Thiara, Padmanabha, Soumya, Pan, Deng, Poojary, Ashwin, Ye, Qi, Raginel, Olivier, Rajagopal, Dwarak, Rice, Tristan, Ross, Craig, Rotem, Nadav, Russ, Scott, Shah, Kushal, Shan, Baohua, Shen, Hao, Shetty, Pavan, Skandakumaran, Krish, Srinivasan, Kutta, Sumbaly, Roshan, Tauberg, Michael, Tzur, Mor, Verma, Sidharth, Wang, Hao, Wang, Man, Wei, Ben, Xia, Alex, Xu, Chenyu, Yang, Martin, Zhang, Kai, Zhang, Ruoxi, Zhao, Ming, Zhao, Whitney, Zhu, Rui, Mathews, Ajit, Qiao, Lin, Smelyanskiy, Misha, Jia, Bill, Rao, Vijay

In this paper, we provide a deep dive into the deployment of inference accelerators at Facebook. Many of our ML workloads have unique characteristics, such as sparse memory accesses, large model sizes, as well as high compute, memory and network band

Externí odkaz: http://arxiv.org/abs/2107.04140