3,333 results match your criteria Quality Control Metrics


Facial Expressions Recognition for Human-Robot Interaction Using Deep Convolutional Neural Networks with Rectified Adam Optimizer.

Sensors (Basel) 2020 Apr 23;20(8). Epub 2020 Apr 23.

Department of Robotics and Mechatronics, Romanian Academy Institute of Solid Mechanics, 010141 Bucharest, Romania.

The interaction between humans and an NAO robot using deep convolutional neural networks (CNN) is presented in this paper based on an innovative end-to-end pipeline method that applies two optimized CNNs, one for face recognition (FR) and another one for the facial expression recognition (FER) in order to obtain real-time inference speed for the entire process. Two different models for FR are considered, one known to be very accurate, but has low inference speed (faster region-based convolutional neural network), and one that is not as accurate but has high inference speed (single shot detector convolutional neural network). For emotion recognition transfer learning and fine-tuning of three CNN models (VGG, Inception V3 and ResNet) has been used. Read More

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http://dx.doi.org/10.3390/s20082393DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219340PMC

Hospitalization Rates Related to Coordinated Home Health Care Services With a Community Oncology Practice.

JCO Oncol Pract 2020 Apr 27:JOP1900755. Epub 2020 Apr 27.

AccentCare, Austin, TX.

Purpose: Oncology care reimbursement has been shifting from a traditional fee-for-service model to either 1- or 2-sided risk models during the past 5 years. A major expense associated with the total cost of care is hospitalization cost. The study set out to investigate whether the creation of an Advanced Community Care Model (ACCM) of home health care would affect 60-day hospitalization and 30-rehospitalization rates in a community oncology setting. Read More

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http://dx.doi.org/10.1200/JOP.19.00755DOI Listing

Quality and denoising in real-time functional magnetic resonance imaging neurofeedback: A methods review.

Hum Brain Mapp 2020 Apr 25. Epub 2020 Apr 25.

Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.

Neurofeedback training using real-time functional magnetic resonance imaging (rtfMRI-NF) allows subjects voluntary control of localised and distributed brain activity. It has sparked increased interest as a promising non-invasive treatment option in neuropsychiatric and neurocognitive disorders, although its efficacy and clinical significance are yet to be determined. In this work, we present the first extensive review of acquisition, processing and quality control methods available to improve the quality of the neurofeedback signal. Read More

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http://dx.doi.org/10.1002/hbm.25010DOI Listing

Light therapy for multiple sclerosis-associated fatigue: a randomized, controlled phase II trial.

J Neurol 2020 Aug 24;267(8):2319-2327. Epub 2020 Apr 24.

Department of Neurology, Massachusetts General Hospital, 165 Cambridge St., Office 627, Boston, MA, 02114, USA.

Background: Bright white light therapy (LT) can improve fatigue in several disease states but has not been studied in multiple sclerosis (MS).

Objective: To determine whether controlled home-based LT is feasible, tolerable, and well-adhered to in MS-associated fatigue.

Methods: A randomized, controlled trial of twice-daily 1-h bright white LT (BWLT) (10,000 lx, active arm) versus dim red LT (DRLT) (< 300 lx, control arm) was performed. Read More

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http://dx.doi.org/10.1007/s00415-020-09845-wDOI Listing

Global injury morbidity and mortality from 1990 to 2017: results from the Global Burden of Disease Study 2017.

Authors:
Spencer L James Chris D Castle Zachary V Dingels Jack T Fox Erin B Hamilton Zichen Liu Nicholas L S Roberts Dillon O Sylte Nathaniel J Henry Kate E LeGrand Ahmed Abdelalim Amir Abdoli Ibrahim Abdollahpour Rizwan Suliankatchi Abdulkader Aidin Abedi Akine Eshete Abosetugn Abdelrahman I Abushouk Oladimeji M Adebayo Marcela Agudelo-Botero Tauseef Ahmad Rushdia Ahmed Muktar Beshir Ahmed Miloud Taki Eddine Aichour Fares Alahdab Genet Melak Alamene Fahad Mashhour Alanezi Animut Alebel Niguse Meles Alema Suliman A Alghnam Samar Al-Hajj Beriwan Abdulqadir Ali Saqib Ali Mahtab Alikhani Cyrus Alinia Vahid Alipour Syed Mohamed Aljunid Amir Almasi-Hashiani Nihad A Almasri Khalid Altirkawi Yasser Sami Abdeldayem Amer Saeed Amini Arianna Maever Loreche Amit Catalina Liliana Andrei Alireza Ansari-Moghaddam Carl Abelardo T Antonio Seth Christopher Yaw Appiah Jalal Arabloo Morteza Arab-Zozani Zohreh Arefi Olatunde Aremu Filippo Ariani Amit Arora Malke Asaad Babak Asghari Nefsu Awoke Beatriz Paulina Ayala Quintanilla Getinet Ayano Martin Amogre Ayanore Samad Azari Ghasem Azarian Alaa Badawi Ashish D Badiye Eleni Bagli Atif Amin Baig Mohan Bairwa Ahad Bakhtiari Arun Balachandran Maciej Banach Srikanta K Banerjee Palash Chandra Banik Amrit Banstola Suzanne Lyn Barker-Collo Till Winfried Bärnighausen Lope H Barrero Akbar Barzegar Mohsen Bayati Bayisa Abdissa Baye Neeraj Bedi Masoud Behzadifar Tariku Tesfaye Bekuma Habte Belete Corina Benjet Derrick A Bennett Isabela M Bensenor Kidanemaryam Berhe Pankaj Bhardwaj Anusha Ganapati Bhat Krittika Bhattacharyya Sadia Bibi Ali Bijani Muhammad Shahdaat Bin Sayeed Guilherme Borges Antonio Maria Borzì Soufiane Boufous Alexandra Brazinova Nikolay Ivanovich Briko Shyam S Budhathoki Josip Car Rosario Cárdenas Félix Carvalho João Mauricio Castaldelli-Maia Carlos A Castañeda-Orjuela Giulio Castelpietra Ferrán Catalá-López Ester Cerin Joht S Chandan Wagaye Fentahun Chanie Soosanna Kumary Chattu Vijay Kumar Chattu Irini Chatziralli Neha Chaudhary Daniel Youngwhan Cho Mohiuddin Ahsanul Kabir Chowdhury Dinh-Toi Chu Samantha M Colquhoun Maria-Magdalena Constantin Vera M Costa Giovanni Damiani Ahmad Daryani Claudio Alberto Dávila-Cervantes Feleke Mekonnen Demeke Asmamaw Bizuneh Demis Gebre Teklemariam Demoz Desalegn Getnet Demsie Afshin Derakhshani Kebede Deribe Rupak Desai Mostafa Dianati Nasab Diana Dias da Silva Zahra Sadat Dibaji Forooshani Kerrie E Doyle Tim Robert Driscoll Eleonora Dubljanin Bereket Duko Adema Arielle Wilder Eagan Aziz Eftekhari Elham Ehsani-Chimeh Maysaa El Sayed Zaki Demelash Abewa Elemineh Shaimaa I El-Jaafary Ziad El-Khatib Christian Lycke Ellingsen Mohammad Hassan Emamian Daniel Adane Endalew Sharareh Eskandarieh Pawan Sirwan Faris Andre Faro Farshad Farzadfar Yousef Fatahi Wubalem Fekadu Tomas Y Ferede Seyed-Mohammad Fereshtehnejad Eduarda Fernandes Pietro Ferrara Garumma Tolu Feyissa Irina Filip Florian Fischer Morenike Oluwatoyin Folayan Masoud Foroutan Joel Msafiri Francis Richard Charles Franklin Takeshi Fukumoto Biniyam Sahiledengle Geberemariyam Abadi Kahsu Gebre Ketema Bizuwork Gebremedhin Gebreamlak Gebremedhn Gebremeskel Berhe Gebremichael Getnet Azeze Gedefaw Birhanu Geta Mansour Ghafourifard Farhad Ghamari Ahmad Ghashghaee Asadollah Gholamian Tiffany K Gill Alessandra C Goulart Ayman Grada Michal Grivna Mohammed Ibrahim Mohialdeen Gubari Rafael Alves Guimarães Yuming Guo Gaurav Gupta Juanita A Haagsma Nima Hafezi-Nejad Hassan Haghparast Bidgoli Brian James Hall Randah R Hamadeh Samer Hamidi Josep Maria Haro Md Mehedi Hasan Amir Hasanzadeh Soheil Hassanipour Hadi Hassankhani Hamid Yimam Hassen Rasmus Havmoeller Khezar Hayat Delia Hendrie Fatemeh Heydarpour Martha Híjar Hung Chak Ho Chi Linh Hoang Michael K Hole Ramesh Holla Naznin Hossain Mehdi Hosseinzadeh Sorin Hostiuc Guoqing Hu Segun Emmanuel Ibitoye Olayinka Stephen Ilesanmi Irena Ilic Milena D Ilic Leeberk Raja Inbaraj Endang Indriasih Seyed Sina Naghibi Irvani Sheikh Mohammed Shariful Islam M Mofizul Islam Rebecca Q Ivers Kathryn H Jacobsen Mohammad Ali Jahani Nader Jahanmehr Mihajlo Jakovljevic Farzad Jalilian Sudha Jayaraman Achala Upendra Jayatilleke Ravi Prakash Jha Yetunde O John-Akinola Jost B Jonas Nitin Joseph Farahnaz Joukar Jacek Jerzy Jozwiak Suresh Banayya Jungari Mikk Jürisson Ali Kabir Rajendra Kadel Amaha Kahsay Leila R Kalankesh Rohollah Kalhor Teshome Abegaz Kamil Tanuj Kanchan Neeti Kapoor Manoochehr Karami Amir Kasaeian Hagazi Gebremedhin Kassaye Taras Kavetskyy Hafte Kahsay Kebede Peter Njenga Keiyoro Abraham Getachew Kelbore Bayew Kelkay Yousef Saleh Khader Morteza Abdullatif Khafaie Nauman Khalid Ibrahim A Khalil Rovshan Khalilov Mohammad Khammarnia Ejaz Ahmad Khan Maseer Khan Tripti Khanna Habibolah Khazaie Fatemeh Khosravi Shadmani Roba Khundkar Daniel N Kiirithio Young-Eun Kim Daniel Kim Yun Jin Kim Adnan Kisa Sezer Kisa Hamidreza Komaki Shivakumar K M Kondlahalli Vladimir Andreevich Korshunov Ai Koyanagi Moritz U G Kraemer Kewal Krishan Burcu Kucuk Bicer Nuworza Kugbey Vivek Kumar Nithin Kumar G Anil Kumar Manasi Kumar Girikumar Kumaresh Om P Kurmi Oluwatosin Kuti Carlo La Vecchia Faris Hasan Lami Prabhat Lamichhane Justin J Lang Van C Lansingh Dennis Odai Laryea Savita Lasrado Arman Latifi Paolo Lauriola Janet L Leasher Shaun Wen Huey Lee Tsegaye Lolaso Lenjebo Miriam Levi Shanshan Li Shai Linn Xuefeng Liu Alan D Lopez Paulo A Lotufo Raimundas Lunevicius Ronan A Lyons Mohammed Madadin Muhammed Magdy Abd El Razek Narayan Bahadur Mahotra Marek Majdan Azeem Majeed Jeadran N Malagon-Rojas Venkatesh Maled Reza Malekzadeh Deborah Carvalho Malta Navid Manafi Amir Manafi Ana-Laura Manda Narayana Manjunatha Fariborz Mansour-Ghanaei Borhan Mansouri Mohammad Ali Mansournia Joemer C Maravilla Lyn M March Amanda J Mason-Jones Seyedeh Zahra Masoumi Benjamin Ballard Massenburg Pallab K Maulik Gebrekiros Gebremichael Meles Addisu Melese Zeleke Aschalew Melketsedik Peter T N Memiah Walter Mendoza Ritesh G Menezes Meresa Berwo Mengesha Melkamu Merid Mengesha Tuomo J Meretoja Atte Meretoja Hayimro Edemealem Merie Tomislav Mestrovic Bartosz Miazgowski Tomasz Miazgowski Ted R Miller G K Mini Andreea Mirica Erkin M Mirrakhimov Mehdi Mirzaei-Alavijeh Prasanna Mithra Babak Moazen Masoud Moghadaszadeh Efat Mohamadi Yousef Mohammad Karzan Abdulmuhsin Mohammad Aso Mohammad Darwesh Naser Mohammad Gholi Mezerji Abdollah Mohammadian-Hafshejani Milad Mohammadoo-Khorasani Reza Mohammadpourhodki Shafiu Mohammed Jemal Abdu Mohammed Farnam Mohebi Mariam Molokhia Lorenzo Monasta Yoshan Moodley Mahmood Moosazadeh Masoud Moradi Ghobad Moradi Maziar Moradi-Lakeh Farhad Moradpour Lidia Morawska Ilais Moreno Velásquez Naho Morisaki Shane Douglas Morrison Tilahun Belete Mossie Atalay Goshu Muluneh Srinivas Murthy Kamarul Imran Musa Ghulam Mustafa Ashraf F Nabhan Ahamarshan Jayaraman Nagarajan Gurudatta Naik Mukhammad David Naimzada Farid Najafi Vinay Nangia Bruno Ramos Nascimento Morteza Naserbakht Vinod Nayak Duduzile Edith Ndwandwe Ionut Negoi Josephine W Ngunjiri Cuong Tat Nguyen Huong Lan Thi Nguyen Rajan Nikbakhsh Dina Nur Anggraini Ningrum Chukwudi A Nnaji Peter S Nyasulu Felix Akpojene Ogbo Onome Bright Oghenetega In-Hwan Oh Emmanuel Wandera Okunga Andrew T Olagunju Tinuke O Olagunju Ahmed Omar Bali Obinna E Onwujekwe Kwaku Oppong Asante Heather M Orpana Erika Ota Nikita Otstavnov Stanislav S Otstavnov Mahesh P A Jagadish Rao Padubidri Smita Pakhale Keyvan Pakshir Songhomitra Panda-Jonas Eun-Kee Park Sangram Kishor Patel Ashish Pathak Sanghamitra Pati George C Patton Kebreab Paulos Amy E Peden Veincent Christian Filipino Pepito Jeevan Pereira Hai Quang Pham Michael R Phillips Marina Pinheiro Roman V Polibin Suzanne Polinder Hossein Poustchi Swayam Prakash Dimas Ria Angga Pribadi Parul Puri Zahiruddin Quazi Syed Mohammad Rabiee Navid Rabiee Amir Radfar Anwar Rafay Ata Rafiee Alireza Rafiei Fakher Rahim Siavash Rahimi Vafa Rahimi-Movaghar Muhammad Aziz Rahman Ali Rajabpour-Sanati Fatemeh Rajati Ivo Rakovac Kavitha Ranganathan Sowmya J Rao Vahid Rashedi Prateek Rastogi Priya Rathi Salman Rawaf Lal Rawal Reza Rawassizadeh Vishnu Renjith Andre M N Renzaho Serge Resnikoff Aziz Rezapour Ana Isabel Ribeiro Jennifer Rickard Carlos Miguel Rios González Luca Ronfani Gholamreza Roshandel Anas M Saad Yogesh Damodar Sabde Siamak Sabour Basema Saddik Saeed Safari Roya Safari-Faramani Hamid Safarpour Mahdi Safdarian S Mohammad Sajadi Payman Salamati Farkhonde Salehi Saleh Salehi Zahabi Marwa R Rashad Salem Hosni Salem Omar Salman Inbal Salz Abdallah M Samy Juan Sanabria Lidia Sanchez Riera Milena M Santric Milicevic Abdur Razzaque Sarker Arash Sarveazad Brijesh Sathian Monika Sawhney Susan M Sawyer Sonia Saxena Mehdi Sayyah David C Schwebel Soraya Seedat Subramanian Senthilkumaran Sadaf G Sepanlou Seyedmojtaba Seyedmousavi Feng Sha Faramarz Shaahmadi Saeed Shahabi Masood Ali Shaikh Mehran Shams-Beyranvand Morteza Shamsizadeh Mahdi Sharif-Alhoseini Hamid Sharifi Aziz Sheikh Mika Shigematsu Jae Il Shin Rahman Shiri Soraya Siabani Inga Dora Sigfusdottir Pankaj Kumar Singh Jasvinder A Singh Dhirendra Narain Sinha Catalin-Gabriel Smarandache Emma U R Smith Amin Soheili Bija Soleymani Ali Reza Soltanian Joan B Soriano Muluken Bekele Sorrie Ireneous N Soyiri Dan J Stein Mark A Stokes Mu'awiyyah Babale Sufiyan Hafiz Ansar Rasul Suleria Bryan L Sykes Rafael Tabarés-Seisdedos Karen M Tabb Biruk Wogayehu Taddele Degena Bahrey Tadesse Animut Tagele Tamiru Ingan Ukur Tarigan Yonatal Mesfin Tefera Arash Tehrani-Banihashemi Merhawi Gebremedhin Tekle Gebretsadkan Hintsa Tekulu Ayenew Kassie Tesema Berhe Etsay Tesfay Rekha Thapar Asres Bedaso Tilahune Kenean Getaneh Tlaye Hamid Reza Tohidinik Roman Topor-Madry Bach Xuan Tran Khanh Bao Tran Jaya Prasad Tripathy Alexander C Tsai Lorainne Tudor Car Saif Ullah Irfan Ullah Maida Umar Bhaskaran Unnikrishnan Era Upadhyay Olalekan A Uthman Pascual R Valdez Tommi Juhani Vasankari Narayanaswamy Venketasubramanian Francesco S Violante Vasily Vlassov Yasir Waheed Girmay Teklay Weldesamuel Andrea Werdecker Taweewat Wiangkham Haileab Fekadu Wolde Dawit Habte Woldeyes Dawit Zewdu Wondafrash Temesgen Gebeyehu Wondmeneh Adam Belay Wondmieneh Ai-Min Wu Rajaram Yadav Ali Yadollahpour Yuichiro Yano Sanni Yaya Vahid Yazdi-Feyzabadi Paul Yip Engida Yisma Naohiro Yonemoto Seok-Jun Yoon Yoosik Youm Mustafa Z Younis Zabihollah Yousefi Yong Yu Chuanhua Yu Hasan Yusefzadeh Telma Zahirian Moghadam Zoubida Zaidi Sojib Bin Zaman Mohammad Zamani Maryam Zamanian Hamed Zandian Ahmad Zarei Fatemeh Zare Zhi-Jiang Zhang Yunquan Zhang Sanjay Zodpey Lalit Dandona Rakhi Dandona Louisa Degenhardt Samath Dhamminda Dharmaratne Simon I Hay Ali H Mokdad Robert C Reiner Benn Sartorius Theo Vos

Inj Prev 2020 Apr 24. Epub 2020 Apr 24.

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Background: Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Read More

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http://dx.doi.org/10.1136/injuryprev-2019-043494DOI Listing
April 2020
1.941 Impact Factor

Performance of a multiplexed amplicon-based next-generation sequencing assay for HLA typing.

PLoS One 2020 23;15(4):e0232050. Epub 2020 Apr 23.

Division of Laboratory and Genomic Medicine, Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, United States of America.

Background: Next-generation sequencing (NGS) has enabled efficient high-resolution typing of human leukocyte antigen (HLA) genes with minimal ambiguity. Most commercially available assays amplify individual or subgroup of HLA genes by long-range PCR followed by library preparation and sequencing. The AllType assay simplifies the workflow by amplifying 11 transplant-relevant HLA genes in one PCR reaction. Read More

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0232050PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179861PMC

Applying the Ready, Willing, and Able Framework to Assess Agency Public Health Emergency Preparedness: The CDC Perspective.

Health Secur 2020 Mar/Apr;18(2):75-82

Shawn C. Chiang, MPH, is a Predoctoral Research Fellow, Department of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA. At the time this work was conducted, he was an Evaluation Fellow, Division of Emergency Operations, Center for Preparedness and Response, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Holly H. Fisher, PhD, is Evaluation Lead, Risk Management and Operational Integrity; Silvia M. Trigoso, MPH, is a Program Manager, Incident Manager Training and Development Program; Bobby B. Rasulnia, PhD, is Deputy Director, Risk Management and Operational Integrity; and Sachiko A. Kuwabara, PhD, is Director, Risk Management and Operational Integrity; all in the Division of Emergency Operations, Center for Preparedness and Response, CDC, Atlanta, GA. Matthew E. Bridwell, MPH, is Deputy Branch Chief, Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Public health emergencies in the United States have been complex, frequent, and increasingly costly in the past decade, at times overwhelming government agencies that are primarily resourced for routine, nonemergency health functions. Emergencies are not always predictable, and adequate resources are not always available to prepare staff in advance for emergency response roles and to mobilize them quickly when a new threat emerges. Additionally, real-world data that connect preparedness levels to response outcomes may be difficult to obtain, further limiting continuous quality improvement efforts by public health officials. Read More

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http://dx.doi.org/10.1089/hs.2019.0090DOI Listing

The Quality Assurance and Quality Control Protocol for Neuropsychological Data Collection and Curation in the Ontario Neurodegenerative Disease Research Initiative (ONDRI) Study.

Assessment 2020 Apr 22:1073191120913933. Epub 2020 Apr 22.

Baycrest Health Sciences, Toronto, Ontario, Canada.

As large research initiatives designed to generate big data on clinical cohorts become more common, there is an increasing need to establish standard quality assurance (QA; preventing errors) and quality control (QC; identifying and correcting errors) procedures for critical outcome measures. The present article describes the QA and QC approach developed and implemented for the neuropsychology data collected as part of the Ontario Neurodegenerative Disease Research Initiative study. We report on the efficacy of our approach and provide data quality metrics. Read More

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http://dx.doi.org/10.1177/1073191120913933DOI Listing

Opportunities to Improve Antibiotic Appropriateness in U.S. ICUs: A Multicenter Evaluation.

Crit Care Med 2020 07;48(7):968-976

Division of Infectious Diseases, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY.

Objectives: To use a standardized tool for a multicenter assessment of antibiotic appropriateness in ICUs and identify local antibiotic stewardship improvement opportunities.

Design: Pilot point prevalence conducted on October 5, 2016; point prevalence survey conducted on March 1, 2017.

Setting: ICUs in 12 U. Read More

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http://dx.doi.org/10.1097/CCM.0000000000004344DOI Listing

Team triathlon effects on physiological, psychological, and immunological measures in women breast cancer survivors.

Support Care Cancer 2020 Apr 20. Epub 2020 Apr 20.

Program in Exercise Science, Department of Physical Therapy, Marquette University, PO Box 1881, Milwaukee, WI, 53201-1881, USA.

Purpose: Exercise after breast cancer diagnosis and treatment improves cancer-related outcomes, although the mechanisms involved are not clear. This study evaluated the impact of exercise on body composition, strength, endurance, quality of life (QOL), fatigue, and endocrine and inflammatory biomarkers in breast cancer survivors participating in a highly monitored, clinically supervised, moderate-intensity exercise program. The association of hormonal and inflammatory biomarkers with the observed physiological changes was assessed. Read More

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http://dx.doi.org/10.1007/s00520-020-05457-2DOI Listing

scATAC-pro: a comprehensive workbench for single-cell chromatin accessibility sequencing data.

Genome Biol 2020 04 20;21(1):94. Epub 2020 Apr 20.

Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.

Single-cell chromatin accessibility sequencing has become a powerful technology for understanding epigenetic heterogeneity of complex tissues. However, there is a lack of open-source software for comprehensive processing, analysis, and visualization of such data generated using all existing experimental protocols. Here, we present scATAC-pro for quality assessment, analysis, and visualization of single-cell chromatin accessibility sequencing data. Read More

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http://dx.doi.org/10.1186/s13059-020-02008-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7169039PMC

Facilitating Analysis of Publicly Available ChIP-Seq Data for Integrative Studies.

AMIA Annu Symp Proc 2019 4;2019:371-379. Epub 2020 Mar 4.

Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, US.

ChIP-Seq, a technique that allows for quantification of DNA sequences bound by transcription factors or histones, has been widely used to characterize genome-wide DNA-protein binding at baseline and induced by specific exposures. Integrating results of multiple ChIP-Seq datasets is a convenient approach to identify robust DNA- protein binding sites and determine their cell-type specificity. We developed brocade, a computational pipeline for reproducible analysis of publicly available ChIP-Seq data that creates R markdown reports containing information on datasets downloaded, quality control metrics, and differential binding results. Read More

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7153109PMC

Chemotherapy-related cognitive impairment in patients with breast cancer based on MRS and DTI analysis.

Breast Cancer 2020 Apr 16. Epub 2020 Apr 16.

Department of Psychology and Psychiatry, Affiliated Hospital of Jiangnan University, 200 Huihe Road, Wuxi, 214000, Jiangsu, China.

The purpose of this study is to investigate chemotherapy-related cognitive impairment (CRCI) in breast cancer patients, analyze absolute concentration and structural changes of metabolites in different brain regions by multimodal neuroimaging technology, and explore correlation between them. Breast cancer patients with chemotherapy treatment group (Ctx+, N = 24) and control group without treatment (Ctx-, N = 20) underwent neuropsychological tests, multivoxel magnetic resonance spectroscopy (MRS), and diffusion tensor imaging (DTI) before and after chemotherapy. Regions of interest (ROls) in magnetic resonance scan include bilateral posterior cingulate gyrus (PCG), bilateral dorsal thalamus (DT), bilateral lenticular nucleus (LN), bilateral posterior horn of the lateral ventricle paratrigonal white matter (PWM). Read More

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http://dx.doi.org/10.1007/s12282-020-01094-zDOI Listing

Microbiological criteria: Principles for their establishment and application in food quality and safety.

Ital J Food Saf 2020 Mar 6;9(1):8543. Epub 2020 Apr 6.

Department of Food Science and Technology, International Campus of Excellence in the AgriFood Sector (CeiA3), University of Córdoba, Spain.

Legislation on food safety has led towards the standardization of food productions which, together with the existing quality certifications, aim to increase the level of protection of public health. It is recognized the need for the agri-food industry to have tools to harmonize their productions and to adequately manage their quality systems in order to improve consumers' confidence. The implementation of microbiological criteria is focused on facilitating this harmonization by enabling the discrimination of defective lots and acting as control tools at industrial level. Read More

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http://dx.doi.org/10.4081/ijfs.2020.8543DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154603PMC

Edge Computing Resource Allocation for Dynamic Networks: The DRUID-NET Vision and Perspective.

Sensors (Basel) 2020 Apr 13;20(8). Epub 2020 Apr 13.

National Technical University of Athens - NTUA, 15780 Zografou, Greece.

The potential offered by the abundance of sensors, actuators, and communications in the Internet of Things (IoT) era is hindered by the limited computational capacity of local nodes. Several key challenges should be addressed to optimally and jointly exploit the network, computing, and storage resources, guaranteeing at the same time feasibility for time-critical and mission-critical tasks. We propose the DRUID-NET framework to take upon these challenges by dynamically distributing resources when the demand is rapidly varying. Read More

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http://dx.doi.org/10.3390/s20082191DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218846PMC

Embedded palliative care for patients with metastatic colorectal cancer: a mixed-methods pilot study.

Support Care Cancer 2020 Apr 14. Epub 2020 Apr 14.

Division of Hematology and Oncology, Department of Medicine and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.

Purpose: Palliative care is recommended for patients with metastatic cancer, but there has been limited research about embedded palliative care for specific patient populations. We describe the impact of a pilot program that provided routine, early, integrated palliative care to patients with metastatic colorectal cancer.

Methods: Mixed methods pre-post intervention cohort study at an academic cancer center. Read More

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http://dx.doi.org/10.1007/s00520-020-05437-6DOI Listing

Automated quality control in nuclear medicine using the structured noise index.

J Appl Clin Med Phys 2020 Apr 11;21(4):80-86. Epub 2020 Apr 11.

Clinical Imaging Physics Group, Department of Radiology, Duke University Medical Center, Durham, NC, USA.

Purpose: Daily flood-field uniformity evaluation serves as the central element of nuclear medicine (NM) quality control (QC) programs. Uniformity images are traditionally analyzed using pixel value-based metrics, that is, integral uniformity (IU), which often fail to capture subtle structure and patterns caused by changes in gamma camera performance, requiring visual inspections which are subjective and time demanding. The goal of this project was to implement an advanced QC metrology for NM to effectively identify nonuniformity issues, and report issues in a timely manner for efficient correction prior to clinical use. Read More

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http://dx.doi.org/10.1002/acm2.12850DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170291PMC

Flow physics and mixing quality in a confined impinging jet mixer.

AIP Adv 2020 Apr 2;10(4):045105. Epub 2020 Apr 2.

Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA.

Due to their ability to provide efficient mixing at small scales, confined impinging jet mixers (CIJMs) are employed widely in nanoparticle assembly processes such as flash nanoprecipitation and flash nanocomplexation, which require rapid mixing. In this mixing device, two jets from opposite directions impinge directly on each other forming a thin shear layer that breaks down rapidly into small flow structures. This enables effective mixing of the species transported by each jet by drastically reducing the diffusion distance. Read More

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http://dx.doi.org/10.1063/5.0002125DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7124763PMC

Quality Indicators of Pharmaceutical Care for Integrative Healthcare: A Scoping Review of Indicators Developed Using the Delphi Technique.

Authors:
Ramzi Shawahna

Evid Based Complement Alternat Med 2020 19;2020:9131850. Epub 2020 Mar 19.

Department of Physiology, Pharmacology, and Toxicology, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, State of Palestine.

Background: Recently, measuring and benchmarking provision of healthcare services has drawn a considerable attention. This scoping review was conducted to identify, describe, and summarize studies in which the Delphi technique was used to develop quality indicators of pharmaceutical care. The study also aimed to identify activities and services that could be used to capture the impact of pharmacist in integrative medicine. Read More

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http://dx.doi.org/10.1155/2020/9131850DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106877PMC

First social impact bond for the SAMRC: A novel financing strategy to address the health and social challenges facing adolescent girls and young women in South Africa.

S Afr Med J 2019 Dec 5;109(11b):57-62. Epub 2019 Dec 5.

Office of AIDS and TB Research, South African Medical Research Council, Cape Town, South Africa.

A social impact bond (SIB) is an innovative financing mechanism to attract investors to social programmes traditionally funded by governments. In this article, in celebration of the 50th anniversary of the South African Medical Research Council (SAMRC), the authors describe the SAMRC's first foray into this new world of financing through a SIB to improve the health and quality of life of adolescent girls and young women (AGYW). The AGYW SIB is in its preparatory phase and is scheduled for implementation in 2020. Read More

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http://dx.doi.org/10.7196/SAMJ.2019.v109i11b.14254DOI Listing
December 2019

Defining metrics for whole-genome sequence analysis of MRSA in clinical practice.

Microb Genom 2020 Apr 31;6(4). Epub 2020 Mar 31.

Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.

Bacterial sequencing will become increasingly adopted in routine microbiology laboratories. Here, we report the findings of a technical evaluation of almost 800 clinical methicillin-resistant (MRSA) isolates, in which we sought to define key quality metrics to support MRSA sequencing in clinical practice. We evaluated the accuracy of mapping to a generic reference versus clonal complex (CC)-specific mapping, which is more computationally challenging. Read More

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http://dx.doi.org/10.1099/mgen.0.000354DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276698PMC

Adaptation of robust Z' factor for assay quality assessment in microelectrode array based screening using adult dorsal root ganglion neurons.

J Neurosci Methods 2020 Jun 26;339:108699. Epub 2020 Mar 26.

Department of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA; Center for Advanced Pain Studies, University of Texas at Dallas, Richardson, TX 75080, USA. Electronic address:

Background: Cell-based assays comprising primary sensory neurons cultured in vitro are an emerging tool for the screening and identification of potential analgesic compounds and chronic pain treatments. High-content screening (HCS) platforms for drug screening are characterized by a measure of assay quality indicator, such as the Z'-factor, which considers the signal dynamic range and data variation using control compounds only. Although widely accepted as a quality metric in high throughput screening (HTS), standard Z'-factor are not well-suited to indicate the quality of complex cell-based assays. Read More

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http://dx.doi.org/10.1016/j.jneumeth.2020.108699DOI Listing

Quantification, Dynamic Visualization, and Validation of Bias in ATAC-Seq Data with ataqv.

Cell Syst 2020 Mar;10(3):298-306.e4

Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address:

The assay for transposase-accessible chromatin using sequencing (ATAC-seq) has become the preferred method for mapping chromatin accessibility due to its time and input material efficiency. However, it can be difficult to evaluate data quality and identify sources of technical bias across samples. Here, we present ataqv, a computational toolkit for efficiently measuring, visualizing, and comparing quality control (QC) results across samples and experiments. Read More

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http://dx.doi.org/10.1016/j.cels.2020.02.009DOI Listing

DEqMS: A Method for Accurate Variance Estimation in Differential Protein Expression Analysis.

Mol Cell Proteomics 2020 Jun 23;19(6):1047-1057. Epub 2020 Mar 23.

Department of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden

Quantitative proteomics by mass spectrometry is widely used in biomarker research and basic biology research for investigation of phenotype level cellular events. Despite the wide application, the methodology for statistical analysis of differentially expressed proteins has not been unified. Various methods such as test, linear model and mixed effect models are used to define changes in proteomics experiments. Read More

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http://dx.doi.org/10.1074/mcp.TIR119.001646DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7261819PMC

Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial.

F1000Res 2019 29;8:2032. Epub 2019 Nov 29.

Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.

Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. With advances in technology, there is an opportunity to research the utility of a telemedicine-based control center for anesthesia clinicians that assess risk, diagnoses negative patient trajectories, and implements evidence-based practices. The primary objective of this trial is to determine whether an anesthesiology control tower (ACT) prevents clinically relevant adverse postoperative outcomes including 30-day mortality, delirium, respiratory failure, and acute kidney injury. Read More

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http://dx.doi.org/10.12688/f1000research.21016.1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076336PMC

Impact of Medicaid insurance on outcomes following endoscopic transsphenoidal pituitary surgery.

J Neurosurg 2020 Mar 20:1-6. Epub 2020 Mar 20.

Departments of2Neurosurgery.

Objective: Despite the rise of studies in the neurosurgical literature suggesting that patients with Medicaid insurance have inferior outcomes, there remains a paucity of data on the impact of insurance on outcomes after endonasal endoscopic transsphenoidal surgery (EETS). Given the increasing importance of complications in quality-based healthcare metrics, the objective of this study was to assess whether Medicaid insurance type influences outcomes in EETS for pituitary adenoma.

Methods: The authors analyzed a prospectively acquired database of EETS for pituitary adenoma from 2005 to 2018 at NewYork-Presbyterian Hospital, Weill Cornell Medicine. Read More

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http://dx.doi.org/10.3171/2020.1.JNS192707DOI Listing

Gate-Tunable Semiconductor Heterojunctions from 2D/3D van der Waals Interfaces.

Nano Lett 2020 Apr 27;20(4):2907-2915. Epub 2020 Mar 27.

Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.

van der Waals (vdW) semiconductors are attractive for highly scaled devices and heterogeneous integration as they can be isolated into self-passivated, two-dimensional (2D) layers that enable superior electrostatic control. These attributes have led to numerous demonstrations of field-effect devices ranging from transistors to triodes. By exploiting the controlled, substitutional doping schemes in covalently bonded, three-dimensional (3D) semiconductors and the passivated surfaces of 2D semiconductors, one can construct devices that can exceed performance metrics of "all-2D" vdW heterojunctions. Read More

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http://dx.doi.org/10.1021/acs.nanolett.0c00741DOI Listing

Updated Software for Automated Assessment of Glucose Variability and Quality of Glycemic Control in Diabetes.

Diabetes Technol Ther 2020 Apr 22. Epub 2020 Apr 22.

Harris Manchester College, Mansfield Road, University of Oxford, Oxford, United Kingdom.

Glycemic variability is an important factor to consider in diabetes management. It can be assessed with multiple glycemic variability metrics and quality of control indices based on continuous glucose monitoring (CGM) recordings. For this, a robust repeatable calculation is important. Read More

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http://dx.doi.org/10.1089/dia.2019.0416DOI Listing

STEPP IN: Working Together to Keep Infants Warm in the Perioperative Period.

Pediatrics 2020 04 19;145(4). Epub 2020 Mar 19.

Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri.

Objectives: Reduce postoperative hypothermia by up to 50% over a 12-month period in children's hospital NICUs and identify specific clinical practices that impact success.

Methods: Literature review, expert opinion, and benchmarking were used to develop clinical practice recommendations for maintaining perioperative euthermia that included the following: established euthermia before transport to the operating room (OR), standardized practice for maintaining euthermia on transport to and from the OR, and standardized practice to prevent intraoperative heat loss. Process measures were focused on maintaining euthermia during these time points. Read More

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http://dx.doi.org/10.1542/peds.2019-1121DOI Listing

Hyperbaric oxygen therapy for mild traumatic brain injury persistent postconcussion syndrome: a randomized controlled trial.

Med Gas Res 2020 Jan-Mar;10(1):8-20

School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA.

Persistent postconcussion syndrome (PPCS) after mild traumatic brain injury (mTBI) is a significant public health and military problem for which there is limited treatment evidence. The aim of this study was to determine whether forty 150 kPa hyperbaric oxygen therapies (HBOTs) can improve symptoms and cognitive function in subjects with the PPCS of mTBI, using a randomized controlled crossover design with 2-month follow-up. Sixty-three civilian and military subjects with mTBI/PPCS were randomized to either 40 HBOTs at 150 kPa/60 minutes, once daily, 5 days per week in 8 weeks or an equivalent no-treatment control period. Read More

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http://dx.doi.org/10.4103/2045-9912.279978DOI Listing

Laboratory Methods for Assessing and Licensing Influenza Vaccines for Poultry.

Authors:
David E Swayne

Methods Mol Biol 2020 ;2123:211-225

Exotic and Emerging Avian Viral Diseases Research Unit, US National Poultry Research Center, Agricultural Research Service, US Department of Agriculture, Athens, GA, USA.

Avian influenza (AI) vaccines for poultry are based on hemagglutinin (HA) proteins, and protection is specific to the subtype. An estimated 313 billion doses have been used between 2002 and 2018 for high pathogenicity AI control. No universal vaccines are currently available. Read More

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http://dx.doi.org/10.1007/978-1-0716-0346-8_16DOI Listing
January 2020

[Value and formats of quality assurance : Ophthalmology and intravitreal therapy between reality and wishful thinking].

Ophthalmologe 2020 Apr;117(4):298-306

Department für Augenheilkunde, Eberhard-Karl Universität Tübingen, Elfriede-Aulhorn-Str. 7, 72076, Tübingen, Deutschland.

Background: In view of the large number of patients and error-prone activities, legal requirements for quality assurance (QA) are of great importance for modern ophthalmology.

Objective: This article discusses the need and formats of QA using the example of intravitreal operative medication injection therapy (IVOM).

Material And Methods: The legal framework conditions are briefly referenced and improvement potentials of the status quo are discussed. Read More

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http://dx.doi.org/10.1007/s00347-020-01064-yDOI Listing

Risk Adjustment for Sepsis Mortality to Facilitate Hospital Comparisons Using Centers for Disease Control and Prevention's Adult Sepsis Event Criteria and Routine Electronic Clinical Data.

Crit Care Explor 2019 Oct 14;1(10):e0049. Epub 2019 Oct 14.

Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA.

Variability in hospital-level sepsis mortality rates may be due to differences in case mix, quality of care, or diagnosis and coding practices. Centers for Disease Control and Prevention's Adult Sepsis Event definition could facilitate objective comparisons of sepsis mortality rates between hospitals but requires rigorous risk-adjustment tools. We developed risk-adjustment models for Adult Sepsis Events using administrative and electronic health record data. Read More

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http://dx.doi.org/10.1097/CCE.0000000000000049DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063887PMC
October 2019

Systematic evaluation of mechanistic data in assessing in utero exposures to trichloroethylene and development of congenital heart defects.

Toxicology 2020 Apr 4;436:152427. Epub 2020 Mar 4.

ToxStrategies, Inc., 9390 Research Blvd, Ste. 100, Austin, TX, 78759, USA.

The hypothesis that in utero exposures to low levels of trichloroethylene (TCE) may increase the risk of congenital heart defects (CHDs) in offspring remains a subject of substantial controversy within the scientific community due primarily to the reliance on an inconsistent and unreproducible experimental study in rats. To build on previous assessments that have primarily focused on epidemiological and experimental animal studies in developing conclusions, the objective of the current study is to conduct a systematic evaluation of mechanistic data related to in utero exposures to TCE and the development of CHDs. The evidence base was heterogeneous; 79 mechanistic datasets were identified, characterizing endpoints which ranged from molecular to organismal responses in seven species, involving both in vivo and in vitro study designs in mammalian and non-mammalian models. Read More

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http://dx.doi.org/10.1016/j.tox.2020.152427DOI Listing

The PCORnet Blood Pressure Control Laboratory: A Platform for Surveillance and Efficient Trials.

Circ Cardiovasc Qual Outcomes 2020 Mar 6;13(3):e006115. Epub 2020 Mar 6.

Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL (R.M.C.D.).

Background: Uncontrolled blood pressure (BP) is a leading preventable cause of death that remains common in the US population despite the availability of effective medications. New technology and program innovation has high potential to improve BP but may be expensive and burdensome for patients, clinicians, health systems, and payers and may not produce desired results or reduce existing disparities in BP control.

Methods And Results: The PCORnet Blood Pressure Control Laboratory is a platform designed to enable national surveillance and facilitate quality improvement and comparative effectiveness research. Read More

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http://dx.doi.org/10.1161/CIRCOUTCOMES.119.006115DOI Listing

Crowdsourcing human-based computation for medical image analysis: A systematic literature review.

Health Informatics J 2020 Mar 6:1460458220907435. Epub 2020 Mar 6.

Universitat de les Illes Balears, Spain.

Computer-assisted algorithms for the analysis of medical images require human interactions to achieve satisfying results. Human-based computation and crowdsourcing offer a solution to this problem. We performed a systematic literature review of studies on crowdsourcing human-based computation for medical image analysis based on the guidelines proposed by Kitchenham and Charters. Read More

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http://dx.doi.org/10.1177/1460458220907435DOI Listing

Biomarker Acquisition and Quality Control for Multi-Site Studies: The Autism Biomarkers Consortium for Clinical Trials.

Front Integr Neurosci 2019 7;13:71. Epub 2020 Feb 7.

Yale Child Study Center, Yale University, New Haven, CT, United States.

The objective of the Autism Biomarkers Consortium for Clinical Trials (ABC-CT) is to evaluate a set of lab-based behavioral video tracking (VT), electroencephalography (EEG), and eye tracking (ET) measures for use in clinical trials with children with autism spectrum disorder (ASD). Within the larger organizational structure of the ABC-CT, the Data Acquisition and Analytic Core (DAAC) oversees the standardization of VT, EEG, and ET data acquisition, data processing, and data analysis. This includes designing and documenting data acquisition and analytic protocols and manuals; facilitating site training in acquisition; data acquisition quality control (QC); derivation and validation of dependent variables (DVs); and analytic deliverables including preparation of data for submission to the National Database for Autism Research (NDAR). Read More

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http://dx.doi.org/10.3389/fnint.2019.00071DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020808PMC
February 2020

Variation in Interinstitutional Plan Quality When Adopting a Hypofractionated Protocol for Prostate Cancer External Beam Radiation Therapy.

Int J Radiat Oncol Biol Phys 2020 Jun 26;107(2):243-252. Epub 2020 Feb 26.

Department of Physics and Astronomy, University of Calgary, Calgary, Canada; Department of Oncology, University of Calgary, Calgary, Canada; Department of Medical Physics, Jack Ady Cancer Centre, Lethbridge, Canada.

Purpose: This study quantified plan quality differences across the 4 cancer centers in Alberta, Canada for plans that followed the PROstate Fractionated Irradiation Trial protocol.

Methods And Materials: Prostate plans of 235 patients were retrospectively reviewed. Interinstitutional plan quality comparisons were made based on distributions of protocol-specified parameters using 1-way analysis of variance with Games-Howell post hoc analysis. Read More

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http://dx.doi.org/10.1016/j.ijrobp.2020.02.026DOI Listing

[Experienced quality assurance in the IVOM structural contract of the AOK‑BW : A practical example].

Ophthalmologe 2020 Apr;117(4):331-335

Department für Augenheilkunde, Universität Tübingen, Tübingen, Deutschland.

Background: According to § 73c of the Social Security Codebook V (SGB V), the AOK health insurance structural contract regulates the treatment of macular diseases by intravitreal drug administration (IVOM) in Baden-Württemberg (BW). Quality assurance is a central part of the agreement in order to ensure the high quality as well as effective and sufficient care of patients.

Material And Methods: Every year at least 2% of the cases of the 254 currently participating surgeons are evaluated in a pseudonymized procedure by a panel of experts based on the billing data. Read More

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http://dx.doi.org/10.1007/s00347-020-01067-9DOI Listing

Direct Growth of Wafer-Scale, Transparent, p-Type Reduced-Graphene-Oxide-like Thin Films by Pulsed Laser Deposition.

ACS Nano 2020 Mar 4;14(3):3290-3298. Epub 2020 Mar 4.

NUSNNI-NanoCore, National University of Singapore, Singapore 117411.

Reduced graphene oxide (rGO) has attracted significant interest in an array of applications ranging from flexible optoelectronics, energy storage, sensing, and very recently as membranes for water purification. Many of these applications require a reproducible, scalable process for the growth of large-area films of high optical and electronic quality. In this work, we report a one-step scalable method for the growth of reduced-graphene-oxide-like (rGO-like) thin films pulsed laser deposition (PLD) of sp carbon in an oxidizing environment. Read More

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http://dx.doi.org/10.1021/acsnano.9b08916DOI Listing

Benchmarking leachate co-treatment strategies in municipal wastewater treatment plants under dynamic conditions and energy prices.

J Environ Manage 2020 Apr 24;260:110129. Epub 2020 Jan 24.

University College Dublin, School of Chemical and Bioprocess Engineering, Belfield, Dublin 4, Ireland.

Combined leachate treatment at municipal wastewater treatment plants (WWTPs) is applicable to a certain extent depending on the leachate composition, treatment plant configuration and its capacity. Co-treatment of leachate at WWTPs has several advantages, but due to increasingly stringent discharge standards applied in WWTPs, it has become more problematic. This study was undertaken to investigate the impact of leachate feeding strategies on effluent quality and the aeration energy costs of WWTPs. Read More

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http://dx.doi.org/10.1016/j.jenvman.2020.110129DOI Listing

Burden of disease in francophone Africa, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.

Lancet Glob Health 2020 03;8(3):e341-e351

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.

Background: Peer-reviewed literature on health is almost exclusively published in English, limiting the uptake of research for decision making in francophone African countries. We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to assess the burden of disease in francophone Africa and inform health professionals and their partners in the region.

Methods: We assessed the burden of disease in the 21 francophone African countries and compared the results with those for their non-francophone counterparts in three economic communities: the Economic Community of West African States, the Economic Community of Central African States, and the Southern African Development Community. Read More

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http://dx.doi.org/10.1016/S2214-109X(20)30024-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7034333PMC

Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem.

Neuroimage 2020 May 19;212:116614. Epub 2020 Feb 19.

The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash Biomedical Imaging, Monash University, Victoria, 3168, Australia.

One of the most controversial procedures in the analysis of resting-state functional magnetic resonance imaging (rsfMRI) data is global signal regression (GSR): the removal, via linear regression, of the mean signal averaged over the entire brain. On one hand, the global mean signal contains variance associated with respiratory, scanner-, and motion-related artifacts, and its removal via GSR improves various quality-control metrics, enhances the anatomical specificity of functional-connectivity patterns, and can increase the behavioral variance explained by such patterns. On the other hand, GSR alters the distribution of regional signal correlations in the brain, can induce artifactual anticorrelations, may remove real neural signal, and can distort case-control comparisons of functional-connectivity measures. Read More

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http://dx.doi.org/10.1016/j.neuroimage.2020.116614DOI Listing

Hybrid decision tree-based machine learning models for short-term water quality prediction.

Authors:
Hongfang Lu Xin Ma

Chemosphere 2020 Jun 11;249:126169. Epub 2020 Feb 11.

School of Science, Southwest University of Science and Technology, Mianyang, 621010, China.

Water resources are the foundation of people's life and economic development, and are closely related to health and the environment. Accurate prediction of water quality is the key to improving water management and pollution control. In this paper, two novel hybrid decision tree-based machine learning models are proposed to obtain more accurate short-term water quality prediction results. Read More

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http://dx.doi.org/10.1016/j.chemosphere.2020.126169DOI Listing
June 2020
3.340 Impact Factor

Proposed application of six sigma metrics using a gamma distribution to monitor turnaround time for a high-volume coagulation test before and after introduction of a total laboratory automation platform in an academic laboratory in South Africa.

Int J Lab Hematol 2020 06 19;42(3):e124-e127. Epub 2020 Feb 19.

Department of Molecular Medicine and Haematology, National Health Laboratory Service and Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.

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http://dx.doi.org/10.1111/ijlh.13163DOI Listing

A Review of Continuous Glucose Monitoring-Based Composite Metrics for Glycemic Control.

Diabetes Technol Ther 2020 Mar 4. Epub 2020 Mar 4.

Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, California.

We performed a literature review of composite metrics for describing the quality of glycemic control, as measured by continuous glucose monitors (CGMs). Nine composite metrics that describe CGM data were identified. They are described in detail along with their advantages and disadvantages. Read More

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http://dx.doi.org/10.1089/dia.2019.0434DOI Listing

Practical radiation dosimetry across a variety of CBCT devices in Radiology.

Phys Med 2020 Mar 14;71:3-6. Epub 2020 Feb 14.

Medical Physics, Mater Misericordiae University Hospital, Dublin, Ireland.

Cone beam technology is becoming more prominent in Radiology. In our hospital we have an extremity CT, an O-arm and a number of C-arms offering 3D capabilities. Each of these modalities use cone beam CT (CBCT) technology to image the area of interest in one single rotation. Read More

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http://dx.doi.org/10.1016/j.ejmp.2020.01.021DOI Listing

To Share is Human! Advancing Evidence into Practice through a National Repository of Interoperable Clinical Decision Support.

Appl Clin Inform 2020 01 12;11(1):112-121. Epub 2020 Feb 12.

National Center for Human Factors in Healthcare, MedStar Health, Washington, District of Columbia, United States.

Background: Healthcare systems devote substantial resources to the development of clinical decision support (CDS) largely independently. The process of translating evidence-based practice into useful and effective CDS may be more efficient and less duplicative if healthcare systems shared knowledge about the translation, including workflow considerations, key assumptions made during the translation process, and technical details.

Objective: Describe how a national repository of CDS can serve as a public resource for healthcare systems, academic researchers, and informaticists seeking to share and reuse CDS knowledge resources or "artifacts. Read More

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http://dx.doi.org/10.1055/s-0040-1701253DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015815PMC
January 2020

Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank.

Sci Rep 2020 Feb 12;10(1):2408. Epub 2020 Feb 12.

Imperial College London, Department of Computing, BioMedIA Group, London, SW7 2AZ, UK.

In large population studies such as the UK Biobank (UKBB), quality control of the acquired images by visual assessment is unfeasible. In this paper, we apply a recently developed fully-automated quality control pipeline for cardiac MR (CMR) images to the first 19,265 short-axis (SA) cine stacks from the UKBB. We present the results for the three estimated quality metrics (heart coverage, inter-slice motion and image contrast in the cardiac region) as well as their potential associations with factors including acquisition details and subject-related phenotypes. Read More

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http://dx.doi.org/10.1038/s41598-020-58212-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015892PMC
February 2020

Symbiont community diversity is more variable in corals that respond poorly to stress.

Glob Chang Biol 2020 Feb 12. Epub 2020 Feb 12.

BioSciences at Rice, Rice University, Houston, TX, USA.

Coral reefs are declining globally as climate change and local water quality press environmental conditions beyond the physiological tolerances of holobionts-the collective of the host and its microbial symbionts. To assess the relationship between symbiont composition and holobiont stress tolerance, community diversity metrics were quantified for dinoflagellate endosymbionts (Family: Symbiodiniaceae) from eight Acropora millepora genets that thrived under or responded poorly to various stressors. These eight selected genets represent the upper and lower tails of the response distribution of 40 coral genets that were exposed to four stress treatments (and control conditions) in a 10-day experiment. Read More

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http://dx.doi.org/10.1111/gcb.14999DOI Listing
February 2020