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https://www.readbyqxmd.com/read/29049981/angiotensin-receptor-blockade-improves-cardiac-mitochondrial-activity-in-response-to-an-acute-glucose-load-in-obese-insulin-resistant-rats
#1
Max Thorwald, Ruben Rodriguez, Andrew Lee, Bridget Martinez, Janos Peti-Peterdi, Daisuke Nakano, Akira Nishiyama, Rudy M Ortiz
Hyperglycemia increases the risk of oxidant overproduction in the heart through activation of a multitude of pathways. Oxidation of mitochondrial enzymes may impair their function resulting in accumulation of intermediates and reverse electron transfer, contributing to mitochondrial dysfunction. Furthermore, the renin-angiotensin system (RAS) becomes inappropriately activated during metabolic syndrome, increasing oxidant production. To combat excess oxidant production, the transcription factor, nuclear factor erythriod-2- related factor 2 (Nrf2), induces expression of many antioxidant genes...
October 7, 2017: Redox Biology
https://www.readbyqxmd.com/read/28955294/real-time-classification-of-non-weight-bearing-lower-limb-movements-using-emg-to-facilitate-phantom-motor-execution-engineering-and-case-study-application-on-phantom-limb-pain
#2
Eva Lendaro, Enzo Mastinu, Bo Håkansson, Max Ortiz-Catalan
Phantom motor execution (PME), facilitated by myoelectric pattern recognition (MPR) and virtual reality (VR), is positioned to be a viable option to treat phantom limb pain (PLP). A recent clinical trial using PME on upper-limb amputees with chronic intractable PLP yielded promising results. However, further work in the area of signal acquisition is needed if such technology is to be used on subjects with lower-limb amputation. We propose two alternative electrode configurations to conventional, bipolar, targeted recordings for acquiring surface electromyography...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28693533/classification-complexity-in-myoelectric-pattern-recognition
#3
Niclas Nilsson, Bo Håkansson, Max Ortiz-Catalan
BACKGROUND: Limb prosthetics, exoskeletons, and neurorehabilitation devices can be intuitively controlled using myoelectric pattern recognition (MPR) to decode the subject's intended movement. In conventional MPR, descriptive electromyography (EMG) features representing the intended movement are fed into a classification algorithm. The separability of the different movements in the feature space significantly affects the classification complexity. Classification complexity estimating algorithms (CCEAs) were studied in this work in order to improve feature selection, predict MPR performance, and inform on faulty data acquisition...
July 10, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28667019/retrotransposons-are-the-major-contributors-to-the-expansion-of-the-drosophila-ananassae-muller-f-element
#4
Wilson Leung, Christopher D Shaffer, Elizabeth J Chen, Thomas J Quisenberry, Kevin Ko, John M Braverman, Thomas C Giarla, Nathan T Mortimer, Laura K Reed, Sheryl T Smith, Srebrenka Robic, Shannon R McCartha, Danielle R Perry, Lindsay M Prescod, Zenyth A Sheppard, Ken J Saville, Allison McClish, Emily A Morlock, Victoria R Sochor, Brittney Stanton, Isaac C Veysey-White, Dennis Revie, Luis A Jimenez, Jennifer J Palomino, Melissa D Patao, Shane M Patao, Edward T Himelblau, Jaclyn D Campbell, Alexandra L Hertz, Maddison F McEvilly, Allison R Wagner, James Youngblom, Baljit Bedi, Jeffery Bettincourt, Erin Duso, Maiye Her, William Hilton, Samantha House, Masud Karimi, Kevin Kumimoto, Rebekah Lee, Darryl Lopez, George Odisho, Ricky Prasad, Holly Lyn Robbins, Tanveer Sandhu, Tracy Selfridge, Kara Tsukashima, Hani Yosif, Nighat P Kokan, Latia Britt, Alycia Zoellner, Eric P Spana, Ben T Chlebina, Insun Chong, Harrison Friedman, Danny A Mammo, Chun L Ng, Vinayak S Nikam, Nicholas U Schwartz, Thomas Q Xu, Martin G Burg, Spencer M Batten, Lindsay M Corbeill, Erica Enoch, Jesse J Ensign, Mary E Franks, Breanna Haiker, Judith A Ingles, Lyndsay D Kirkland, Joshua M Lorenz-Guertin, Jordan Matthews, Cody M Mittig, Nicholaus Monsma, Katherine J Olson, Guillermo Perez-Aragon, Alen Ramic, Jordan R Ramirez, Christopher Scheiber, Patrick A Schneider, Devon E Schultz, Matthew Simon, Eric Spencer, Adam C Wernette, Maxine E Wykle, Elizabeth Zavala-Arellano, Mitchell J McDonald, Kristine Ostby, Peter Wendland, Justin R DiAngelo, Alexis M Ceasrine, Amanda H Cox, James E B Docherty, Robert M Gingras, Stephanie M Grieb, Michael J Pavia, Casey L Personius, Grzegorz L Polak, Dale L Beach, Heaven L Cerritos, Edward A Horansky, Karim A Sharif, Ryan Moran, Susan Parrish, Kirsten Bickford, Jennifer Bland, Juliana Broussard, Kerry Campbell, Katelynn E Deibel, Richard Forka, Monika C Lemke, Marlee B Nelson, Catherine O'Keeffe, S Mariel Ramey, Luke Schmidt, Paola Villegas, Christopher J Jones, Stephanie L Christ, Sami Mamari, Adam S Rinaldi, Ghazal Stity, Amy T Hark, Mark Scheuerman, S Catherine Silver Key, Briana D McRae, Adam S Haberman, Sam Asinof, Harriette Carrington, Kelly Drumm, Terrance Embry, Richard McGuire, Drew Miller-Foreman, Stella Rosen, Nadia Safa, Darrin Schultz, Matt Segal, Yakov Shevin, Petros Svoronos, Tam Vuong, Gary Skuse, Don W Paetkau, Rachael K Bridgman, Charlotte M Brown, Alicia R Carroll, Francesca M Gifford, Julie Beth Gillespie, Susan E Herman, Krystal L Holtcamp, Misha A Host, Gabrielle Hussey, Danielle M Kramer, Joan Q Lawrence, Madeline M Martin, Ellen N Niemiec, Ashleigh P O'Reilly, Olivia A Pahl, Guadalupe Quintana, Elizabeth A S Rettie, Torie L Richardson, Arianne E Rodriguez, Mona O Rodriguez, Laura Schiraldi, Joanna J Smith, Kelsey F Sugrue, Lindsey J Suriano, Kaitlyn E Takach, Arielle M Vasquez, Ximena Velez, Elizabeth J Villafuerte, Laura T Vives, Victoria R Zellmer, Jeanette Hauke, Charles R Hauser, Karolyn Barker, Laurie Cannon, Perouza Parsamian, Samantha Parsons, Zachariah Wichman, Christopher W Bazinet, Diana E Johnson, Abubakarr Bangura, Jordan A Black, Victoria Chevee, Sarah A Einsteen, Sarah K Hilton, Max Kollmer, Rahul Nadendla, Joyce Stamm, Antoinette E Fafara-Thompson, Amber M Gygi, Emmy E Ogawa, Matt Van Camp, Zuzana Kocsisova, Judith L Leatherman, Cassie M Modahl, Michael R Rubin, Susana S Apiz-Saab, Suzette M Arias-Mejias, Carlos F Carrion-Ortiz, Patricia N Claudio-Vazquez, Debbie M Espada-Green, Marium Feliciano-Camacho, Karina M Gonzalez-Bonilla, Mariela Taboas-Arroyo, Dorianmarie Vargas-Franco, Raquel Montañez-Gonzalez, Joseph Perez-Otero, Myrielis Rivera-Burgos, Francisco J Rivera-Rosario, Heather L Eisler, Jackie Alexander, Samatha K Begley, Deana Gabbard, Robert J Allen, Wint Yan Aung, William D Barshop, Amanda Boozalis, Vanessa P Chu, Jeremy S Davis, Ryan N Duggal, Robert Franklin, Katherine Gavinski, Heran Gebreyesus, Henry Z Gong, Rachel A Greenstein, Averill D Guo, Casey Hanson, Kaitlin E Homa, Simon C Hsu, Yi Huang, Lucy Huo, Sarah Jacobs, Sasha Jia, Kyle L Jung, Sarah Wai-Chee Kong, Matthew R Kroll, Brandon M Lee, Paul F Lee, Kevin M Levine, Amy S Li, Chengyu Liu, Max Mian Liu, Adam P Lousararian, Peter B Lowery, Allyson P Mallya, Joseph E Marcus, Patrick C Ng, Hien P Nguyen, Ruchik Patel, Hashini Precht, Suchita Rastogi, Jonathan M Sarezky, Adam Schefkind, Michael B Schultz, Delia Shen, Tara Skorupa, Nicholas C Spies, Gabriel Stancu, Hiu Man Vivian Tsang, Alice L Turski, Rohit Venkat, Leah E Waldman, Kaidi Wang, Tracy Wang, Jeffrey W Wei, Dennis Y Wu, David D Xiong, Jack Yu, Karen Zhou, Gerard P McNeil, Robert W Fernandez, Patrick Gomez Menzies, Tingting Gu, Jeremy Buhler, Elaine R Mardis, Sarah C R Elgin
The discordance between genome size and the complexity of eukaryotes can partly be attributed to differences in repeat density. The Muller F element (∼5.2 Mb) is the smallest chromosome in Drosophila melanogaster, but it is substantially larger (>18.7 Mb) in D. ananassae To identify the major contributors to the expansion of the F element and to assess their impact, we improved the genome sequence and annotated the genes in a 1.4-Mb region of the D. ananassae F element, and a 1.7-Mb region from the D element for comparison...
August 7, 2017: G3: Genes—Genomes—Genetics
https://www.readbyqxmd.com/read/28616856/social-media-use-friendship-quality-and-the-moderating-role-of-anxiety-in-adolescents-with-autism-spectrum-disorder
#5
Gerrit I van Schalkwyk, Carla E Marin, Mayra Ortiz, Max Rolison, Zheala Qayyum, James C McPartland, Eli R Lebowitz, Fred R Volkmar, Wendy K Silverman
Social media holds promise as a technology to facilitate social engagement, but may displace offline social activities. Adolescents with ASD are well suited to capitalize on the unique features of social media, which requires less decoding of complex social information. In this cross-sectional study, we assessed social media use, anxiety and friendship quality in 44 adolescents with ASD, and 56 clinical comparison controls. Social media use was significantly associated with high friendship quality in adolescents with ASD, which was moderated by the adolescents' anxiety levels...
June 14, 2017: Journal of Autism and Developmental Disorders
https://www.readbyqxmd.com/read/28541915/embedded-system-for-prosthetic-control-using-implanted-neuromuscular-interfaces-accessed-via-an-osseointegrated-implant
#6
Enzo Mastinu, Pascal Doguet, Yohan Botquin, Bo Hakansson, Max Ortiz-Catalan
Despite the technological progress in robotics achieved in the last decades, prosthetic limbs still lack functionality, reliability, and comfort. Recently, an implanted neuromusculoskeletal interface built upon osseointegration was developed and tested in humans, namely the Osseointegrated Human-Machine Gateway. Here, we present an embedded system to exploit the advantages of this technology. Our artificial limb controller allows for bioelectric signals acquisition, processing, decoding of motor intent, prosthetic control, and sensory feedback...
August 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28384795/child-and-adolescent-health-from-1990-to-2015-findings-from-the-global-burden-of-diseases-injuries-and-risk-factors-2015-study
#7
Nicholas Kassebaum, Hmwe Hmwe Kyu, Leo Zoeckler, Helen Elizabeth Olsen, Katie Thomas, Christine Pinho, Zulfiqar A Bhutta, Lalit Dandona, Alize Ferrari, Tsegaye Tewelde Ghiwot, Simon I Hay, Yohannes Kinfu, Xiaofeng Liang, Alan Lopez, Deborah Carvalho Malta, Ali H Mokdad, Mohsen Naghavi, George C Patton, Joshua Salomon, Benn Sartorius, Roman Topor-Madry, Stein Emil Vollset, Andrea Werdecker, Harvey A Whiteford, Kalkidan Hasen Abate, Kaja Abbas, Solomon Abrha Damtew, Muktar Beshir Ahmed, Nadia Akseer, Rajaa Al-Raddadi, Mulubirhan Assefa Alemayohu, Khalid Altirkawi, Amanuel Alemu Abajobir, Azmeraw T Amare, Carl A T Antonio, Johan Arnlov, Al Artaman, Hamid Asayesh, Euripide Frinel G Arthur Avokpaho, Ashish Awasthi, Beatriz Paulina Ayala Quintanilla, Umar Bacha, Balem Demtsu Betsu, Aleksandra Barac, Till Winfried Bärnighausen, Estifanos Baye, Neeraj Bedi, Isabela M Bensenor, Adugnaw Berhane, Eduardo Bernabe, Oscar Alberto Bernal, Addisu Shunu Beyene, Sibhatu Biadgilign, Boris Bikbov, Cheryl Anne Boyce, Alexandra Brazinova, Gessessew Bugssa Hailu, Austin Carter, Carlos A Castañeda-Orjuela, Ferrán Catalá-López, Fiona J Charlson, Abdulaal A Chitheer, Jee-Young Jasmine Choi, Liliana G Ciobanu, John Crump, Rakhi Dandona, Robert P Dellavalle, Amare Deribew, Gabrielle deVeber, Daniel Dicker, Eric L Ding, Manisha Dubey, Amanuel Yesuf Endries, Holly E Erskine, Emerito Jose Aquino Faraon, Andre Faro, Farshad Farzadfar, Joao C Fernandes, Daniel Obadare Fijabi, Christina Fitzmaurice, Thomas D Fleming, Luisa Sorio Flor, Kyle J Foreman, Richard C Franklin, Maya S Fraser, Joseph J Frostad, Nancy Fullman, Gebremedhin Berhe Gebregergs, Alemseged Aregay Gebru, Johanna M Geleijnse, Katherine B Gibney, Mahari Gidey Yihdego, Ibrahim Abdelmageem Mohamed Ginawi, Melkamu Dedefo Gishu, Tessema Assefa Gizachew, Elizabeth Glaser, Audra L Gold, Ellen Goldberg, Philimon Gona, Atsushi Goto, Harish Chander Gugnani, Guohong Jiang, Rajeev Gupta, Fisaha Haile Tesfay, Graeme J Hankey, Rasmus Havmoeller, Martha Hijar, Masako Horino, H Dean Hosgood, Guoqing Hu, Kathryn H Jacobsen, Mihajlo B Jakovljevic, Sudha P Jayaraman, Vivekanand Jha, Tariku Jibat, Catherine O Johnson, Jost Jonas, Amir Kasaeian, Norito Kawakami, Peter N Keiyoro, Ibrahim Khalil, Young-Ho Khang, Jagdish Khubchandani, Aliasghar A Ahmad Kiadaliri, Christian Kieling, Daniel Kim, Niranjan Kissoon, Luke D Knibbs, Ai Koyanagi, Kristopher J Krohn, Barthelemy Kuate Defo, Burcu Kucuk Bicer, Rachel Kulikoff, G Anil Kumar, Dharmesh Kumar Lal, Hilton Y Lam, Heidi J Larson, Anders Larsson, Dennis Odai Laryea, Janni Leung, Stephen S Lim, Loon-Tzian Lo, Warren D Lo, Katharine J Looker, Paulo A Lotufo, Hassan Magdy Abd El Razek, Reza Malekzadeh, Desalegn Markos Shifti, Mohsen Mazidi, Peter A Meaney, Kidanu Gebremariam Meles, Peter Memiah, Walter Mendoza, Mubarek Abera Mengistie, Gebremichael Welday Mengistu, George A Mensah, Ted R Miller, Charles Mock, Alireza Mohammadi, Shafiu Mohammed, Lorenzo Monasta, Ulrich Mueller, Chie Nagata, Aliya Naheed, Grant Nguyen, Quyen Le Nguyen, Elaine Nsoesie, In-Hwan Oh, Anselm Okoro, Jacob Olusegun Olusanya, Bolajoko O Olusanya, Alberto Ortiz, Deepak Paudel, David M Pereira, Norberto Perico, Max Petzold, Michael Robert Phillips, Guilherme V Polanczyk, Farshad Pourmalek, Mostafa Qorbani, Anwar Rafay, Vafa Rahimi-Movaghar, Mahfuzar Rahman, Rajesh Kumar Rai, Usha Ram, Zane Rankin, Giuseppe Remuzzi, Andre M N Renzaho, Hirbo Shore Roba, David Rojas-Rueda, Luca Ronfani, Rajesh Sagar, Juan Ramon Sanabria, Muktar Sano Kedir Mohammed, Itamar S Santos, Maheswar Satpathy, Monika Sawhney, Ben Schöttker, David C Schwebel, James G Scott, Sadaf G Sepanlou, Amira Shaheen, Masood Ali Shaikh, June She, Rahman Shiri, Ivy Shiue, Inga Dora Sigfusdottir, Jasvinder Singh, Naris Silpakit, Alison Smith, Chandrashekhar Sreeramareddy, Jeffrey D Stanaway, Dan J Stein, Caitlyn Steiner, Muawiyyah Babale Sufiyan, Soumya Swaminathan, Rafael Tabarés-Seisdedos, Karen M Tabb, Fentaw Tadese, Mohammad Tavakkoli, Bineyam Taye, Stephanie Teeple, Teketo Kassaw Tegegne, Girma Temam Shifa, Abdullah Sulieman Terkawi, Bernadette Thomas, Alan J Thomson, Ruoyan Tobe-Gai, Marcello Tonelli, Bach Xuan Tran, Christopher Troeger, Kingsley N Ukwaja, Olalekan Uthman, Tommi Vasankari, Narayanaswamy Venketasubramanian, Vasiliy Victorovich Vlassov, Elisabete Weiderpass, Robert Weintraub, Solomon Weldemariam Gebrehiwot, Ronny Westerman, Hywel C Williams, Charles D A Wolfe, Rachel Woodbrook, Yuichiro Yano, Naohiro Yonemoto, Seok-Jun Yoon, Mustafa Z Younis, Chuanhua Yu, Maysaa El Sayed Zaki, Elias Asfaw Zegeye, Liesl Joanna Zuhlke, Christopher J L Murray, Theo Vos
Importance: Comprehensive and timely monitoring of disease burden in all age groups, including children and adolescents, is essential for improving population health. Objective: To quantify and describe levels and trends of mortality and nonfatal health outcomes among children and adolescents from 1990 to 2015 to provide a framework for policy discussion. Evidence Review: Cause-specific mortality and nonfatal health outcomes were analyzed for 195 countries and territories by age group, sex, and year from 1990 to 2015 using standardized approaches for data processing and statistical modeling, with subsequent analysis of the findings to describe levels and trends across geography and time among children and adolescents 19 years or younger...
June 1, 2017: JAMA Pediatrics
https://www.readbyqxmd.com/read/28364132/challenges-in-establishing-genotype-phenotype-correlations-in-arpkd-case-report-on-a-toddler-with-two-severe-pkhd1-mutations
#8
Kathrin Ebner, Claudia Dafinger, Nadina Ortiz-Bruechle, Friederike Koerber, Bernhard Schermer, Thomas Benzing, Jörg Dötsch, Klaus Zerres, Lutz Thorsten Weber, Bodo B Beck, Max Christoph Liebau
BACKGROUND: Autosomal recessive polycystic kidney disease (ARPKD) constitutes an important cause of pediatric end stage renal disease and is characterized by a broad phenotypic variability. The disease is caused by mutations in a single gene, Polycystic Kidney and Hepatic Disease 1 (PKHD1), which encodes a large transmembrane protein of poorly understood function called fibrocystin. Based on current knowledge of genotype-phenotype correlations in ARPKD, two truncating mutations are considered to result in a severe phenotype with peri- or neonatal mortality...
July 2017: Pediatric Nephrology: Journal of the International Pediatric Nephrology Association
https://www.readbyqxmd.com/read/28349945/touch-and-hearing-mediate-osseoperception
#9
Francesco Clemente, Bo Håkansson, Christian Cipriani, Johan Wessberg, Katarzyna Kulbacka-Ortiz, Rickard Brånemark, Karl-Johan Fredén Jansson, Max Ortiz-Catalan
Osseoperception is the sensation arising from the mechanical stimulation of a bone-anchored prosthesis. Here we show that not only touch, but also hearing is involved in this phenomenon. Using mechanical vibrations ranging from 0.1 to 6 kHz, we performed four psychophysical measures (perception threshold, sensation discrimination, frequency discrimination and reaction time) on 12 upper and lower limb amputees and found that subjects: consistently reported perceiving a sound when the stimulus was delivered at frequencies equal to or above 400 Hz; were able to discriminate frequency differences between stimuli delivered at high stimulation frequencies (~1500 Hz); improved their reaction time for bimodal stimuli (i...
March 28, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28269638/intarsia-sensorized-band-and-textrodes-for-real-time-myoelectric-pattern-recognition
#10
Shannon Brown, Max Ortiz-Catalan, Joel Petersson, Kristian Rodby, Fernando Seoane
Surface Electromyography (sEMG) has applications in prosthetics, diagnostics and neuromuscular rehabilitation. Self-adhesive Ag/AgCl are the electrodes preferentially used to capture sEMG in short-term studies, however their long-term application is limited. In this study we designed and evaluated a fully integrated smart textile band with electrical connecting tracks knitted with intarsia techniques and knitted textile electrodes. Real-time myoelectric pattern recognition for motor volition and signal-to-noise ratio (SNR) were used to compare its sensing performance versus the conventional Ag-AgCl electrodes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269492/classification-of-non-weight-bearing-lower-limb-movements-towards-a-potential-treatment-for-phantom-limb-pain-based-on-myoelectric-pattern-recognition
#11
Eva Lendaro, Max Ortiz-Catalan
Research in myoelectric pattern recognition (MPR) for the prediction of motor volition has primarily focused on the upper limbs. Recent studies in the lower limbs have mainly concentrated on prosthetic control, while MPR for lower limb rehabilitation purposes has received little attention. In this work we investigated the viability of a MPR system for the prediction of four degrees of freedom controlled in a near natural or physiologically appropriate fashion. We explored three different electrode configurations for acquiring electromyographic (EMG) signals: two targeted (bipolar and monopolar) and one untargeted (electrodes equally spaced axially)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227896/intarsia-sensorized-band-and-textrodes-for-real-time-myoelectric-pattern-recognition
#12
Shannon Brown, Max Ortiz-Catalan, Joel Petersson, Kristian Rodby, Fernando Seoane, Shannon Brown, Max Ortiz-Catalan, Joel Petersson, Kristian Rodby, Fernando Seoane, Max Ortiz-Catalan, Fernando Seoane, Kristian Rodby, Shannon Brown, Joel Petersson
Surface Electromyography (sEMG) has applications in prosthetics, diagnostics and neuromuscular rehabilitation. Self-adhesive Ag/AgCl are the electrodes preferentially used to capture sEMG in short-term studies, however their long-term application is limited. In this study we designed and evaluated a fully integrated smart textile band with electrical connecting tracks knitted with intarsia techniques and knitted textile electrodes. Real-time myoelectric pattern recognition for motor volition and signal-to-noise ratio (SNR) were used to compare its sensing performance versus the conventional Ag-AgCl electrodes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227744/classification-of-non-weight-bearing-lower-limb-movements-towards-a-potential-treatment-for-phantom-limb-pain-based-on-myoelectric-pattern-recognition
#13
Eva Lendaro, Max Ortiz-Catalan, Eva Lendaro, Max Ortiz-Catalan, Max Ortiz-Catalan, Eva Lendaro
Research in myoelectric pattern recognition (MPR) for the prediction of motor volition has primarily focused on the upper limbs. Recent studies in the lower limbs have mainly concentrated on prosthetic control, while MPR for lower limb rehabilitation purposes has received little attention. In this work we investigated the viability of a MPR system for the prediction of four degrees of freedom controlled in a near natural or physiologically appropriate fashion. We explored three different electrode configurations for acquiring electromyographic (EMG) signals: two targeted (bipolar and monopolar) and one untargeted (electrodes equally spaced axially)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28097368/incidence-of-and-risk-factors-for-skin-cancer-in-organ-transplant-recipients-in-the-united-states
#14
MULTICENTER STUDY
Giorgia L Garrett, Paul D Blanc, John Boscardin, Amanda Abramson Lloyd, Rehana L Ahmed, Tiffany Anthony, Kristin Bibee, Andrew Breithaupt, Jennifer Cannon, Amy Chen, Joyce Y Cheng, Zelma Chiesa-Fuxench, Oscar R Colegio, Clara Curiel-Lewandrowski, Christina A Del Guzzo, Max Disse, Margaret Dowd, Robert Eilers, Arisa Elena Ortiz, Caroline Morris, Spring K Golden, Michael S Graves, John R Griffin, R Samuel Hopkins, Conway C Huang, Gordon Hyeonjin Bae, Anokhi Jambusaria, Thomas A Jennings, Shang I Brian Jiang, Pritesh S Karia, Shilpi Khetarpal, Changhyun Kim, Goran Klintmalm, Kathryn Konicke, Shlomo A Koyfman, Charlene Lam, Peter Lee, Justin J Leitenberger, Tiffany Loh, Stefan Lowenstein, Reshmi Madankumar, Jacqueline F Moreau, Rajiv I Nijhawan, Shari Ochoa, Edit B Olasz, Elaine Otchere, Clark Otley, Jeremy Oulton, Parth H Patel, Vishal Anil Patel, Arpan V Prabhu, Melissa Pugliano-Mauro, Chrysalyne D Schmults, Sarah Schram, Allen F Shih, Thuzar Shin, Seaver Soon, Teresa Soriano, Divya Srivastava, Jennifer A Stein, Kara Sternhell-Blackwell, Stan Taylor, Allison Vidimos, Peggy Wu, Nicholas Zajdel, Daniel Zelac, Sarah T Arron
Importance: Skin cancer is the most common malignancy occurring after organ transplantation. Although previous research has reported an increased risk of skin cancer in solid organ transplant recipients (OTRs), no study has estimated the posttransplant population-based incidence in the United States. Objective: To determine the incidence and evaluate the risk factors for posttransplant skin cancer, including squamous cell carcinoma (SCC), melanoma (MM), and Merkel cell carcinoma (MCC) in a cohort of US OTRs receiving a primary organ transplant in 2003 or 2008...
March 1, 2017: JAMA Dermatology
https://www.readbyqxmd.com/read/27916234/phantom-motor-execution-facilitated-by-machine-learning-and-augmented-reality-as-treatment-for-phantom-limb-pain-a-single-group-clinical-trial-in-patients-with-chronic-intractable-phantom-limb-pain
#15
Max Ortiz-Catalan, Rannveig A Guðmundsdóttir, Morten B Kristoffersen, Alejandra Zepeda-Echavarria, Kerstin Caine-Winterberger, Katarzyna Kulbacka-Ortiz, Cathrine Widehammar, Karin Eriksson, Anita Stockselius, Christina Ragnö, Zdenka Pihlar, Helena Burger, Liselotte Hermansson
BACKGROUND: Phantom limb pain is a debilitating condition for which no effective treatment has been found. We hypothesised that re-engagement of central and peripheral circuitry involved in motor execution could reduce phantom limb pain via competitive plasticity and reversal of cortical reorganisation. METHODS: Patients with upper limb amputation and known chronic intractable phantom limb pain were recruited at three clinics in Sweden and one in Slovenia. Patients received 12 sessions of phantom motor execution using machine learning, augmented and virtual reality, and serious gaming...
December 10, 2016: Lancet
https://www.readbyqxmd.com/read/27875121/nikola-tesla-why-was-he-so-much-resisted-and-forgotten-retrospectroscope
#16
Max E Valentinuzzi, Martin Hill Ortiz, Daniel Cervantes, Ron S Leder
Recently, during the Christmas season, a friend of mine visited me and, sneaking a look at my bookshelves, found two rather old Nikola Tesla biographies, which I had used to prepare a "Retrospectroscope" column for the then-named IEEE Engineering in Medicine and Biology Magazine when our dear friend Alvin Wald was its editor-inchief [2]. Eighteen years have elapsed since then; soon, the idea came up of revamping the article. Cynthia Weber, the magazine's current associate editor, considered it acceptable, and here is the new note divided in two parts: that is, a slightly revised version of the original article followed by new material, including some quite interesting information regarding Tesla's homes and laboratories...
November 2016: IEEE Pulse
https://www.readbyqxmd.com/read/27859220/farmland-biodiversity-and-agricultural-management-on-237-farms-in-13-european-and-two-african-regions
#17
Gisela Lüscher, Youssef Ammari, Aljona Andriets, Siyka Angelova, Michaela Arndorfer, Debra Bailey, Katalin Balázs, Marion Bogers, Robert G H Bunce, Jean-Philippe Choisis, Peter Dennis, Mario Díaz, Tetyana Dyman, Sebastian Eiter, Wendy Fjellstad, Mariecia Fraser, Jürgen K Friedel, Salah Garchi, Ilse R Geijzendorffer, Tiziano Gomiero, Guillermo González-Bornay, Yana Guteva, Felix Herzog, Philippe Jeanneret, Rob H G Jongman, Max Kainz, Norman Kwikiriza, María Lourdes López Díaz, Gerardo Moreno, Pip Nicholas-Davies, Charles Nkwiine, Julius Opio, Maurizio G Paoletti, László Podmaniczky, Philippe Pointereau, Fernando Pulido, Jean-Pierre Sarthou, Manuel K Schneider, Tahar Sghaier, Norman Siebrecht, Siyka Stoyanova, Sebastian Wolfrum, Sergiy Yashchenko, Harald Albrecht, András Báldi, Márta Belényesi, Jacinto Benhadi-Marin, Theo Blick, Serge Buholzer, Csaba Centeri, Norma Choisis, Gérard Cuendet, Hendrika J De Lange, Sylvain Déjean, Christo Deltshev, Darío J Díaz Cosín, Wenche Dramstad, Zoltán Elek, Gunnar Engan, Konstantin Evtushenko, Eszter Falusi, Oliver-D Finch, Thomas Frank, Federico Gavinelli, David Genoud, Phillipa K Gillingham, Viktor Grónás, Mónica Gutiérrez, Werner Häusler, Xaver Heer, Thomas Hübner, Marco Isaia, Gergely Jerkovich, Juan B Jesus, Esezah Kakudidi, Eszter Kelemen, Nóra Koncz, Eszter Kovacs, Anikó Kovács-Hostyánszki, Luisa Last, Toshko Ljubomirov, Klaus Mandery, Josef Mayr, Atle Mjelde, Christoph Muster, Juri Nascimbene, Johann Neumayer, Frode Ødegaard, Francisco Javier Ortiz Sánchez, Marie-Louise Oschatz, Susanne Papaja-Hülsbergen, Mauro Paschetta, Mark Pavett, Céline Pelosi, Károly Penksza, Reidun Pommeresche, Victor Popov, Volodymyr Radchenko, Nina Richner, Susanne Riedel, John Scullion, Daniele Sommaggio, Ottó Szalkovszki, Erich Szerencsits, Dolores Trigo, Jim Vale, Ruud van Kats, Angel Vasilev, Andrew E Whittington, Jerylee Wilkes-Allemann, Tommaso Zanetti
Farmland is a major land cover type in Europe and Africa and provides habitat for numerous species. The severe decline in farmland biodiversity of the last decades has been attributed to changes in farming practices, and organic and low-input farming are assumed to mitigate detrimental effects of agricultural intensification on biodiversity. Since the farm enterprise is the primary unit of agricultural decision making, management-related effects at the field scale need to be assessed at the farm level. Therefore, in this study, data were collected on habitat characteristics, vascular plant, earthworm, spider, and bee communities and on the corresponding agricultural management in 237 farms in 13 European and two African regions...
June 2016: Ecology
https://www.readbyqxmd.com/read/27581624/combining-two-open-source-tools-for-neural-computation-biopatrec-and-netlab-improves-movement-classification-for-prosthetic-control
#18
Cosima Prahm, Korbinian Eckstein, Max Ortiz-Catalan, Georg Dorffner, Eugenijus Kaniusas, Oskar C Aszmann
BACKGROUND: Controlling a myoelectric prosthesis for upper limbs is increasingly challenging for the user as more electrodes and joints become available. Motion classification based on pattern recognition with a multi-electrode array allows multiple joints to be controlled simultaneously. Previous pattern recognition studies are difficult to compare, because individual research groups use their own data sets. To resolve this shortcoming and to facilitate comparisons, open access data sets were analysed using components of BioPatRec and Netlab pattern recognition models...
August 31, 2016: BMC Research Notes
https://www.readbyqxmd.com/read/27553602/accelerated-hypofractionated-radiation-therapy-ahrt-for-non-small-cell-lung-cancer-can-we-leave-standard-fractionation
#19
N Rodríguez de Dios, X Sanz, P Foro, I Membrive, A Reig, A Ortiz, R Jiménez, M Algara
PURPOSE: To report interim results from a single-institution study conducted to assess accelerated hypofractionated radiotherapy (AHRT) delivered with 3D conformal radiotherapy in two groups of patients with non-small cell lung cancer: (1) patients with early stage disease unable to tolerate surgery and ineligible for stereotactic body radiation therapy, and (2) patients with locally advanced disease unsuitable for concurrent chemoradiotherapy. METHODS/PATIENTS: A total of 83 patients (51 stage I-II, 32 stage III) were included...
April 2017: Clinical & Translational Oncology
https://www.readbyqxmd.com/read/26989505/a-comparative-study-of-new-aspergillus-strains-for-proteolytic-enzymes-production-by-solid-state-fermentation
#20
Gastón Ezequiel Ortiz, Diego Gabriel Noseda, María Clara Ponce Mora, Matías Nicolás Recupero, Martín Blasco, Edgardo Albertó
A comparative study of the proteolytic enzymes production using twelve Aspergillus strains previously unused for this purpose was performed by solid state fermentation. A semiquantitative and quantitative evaluation of proteolytic activity were carried out using crude enzymatic extracts obtained from the fermentation cultures, finding seven strains with high and intermediate level of protease activity. Biochemical, thermodynamics, and kinetics features such as optimum pH and temperature values, thermal stability, activation energy (E a), quotient energy (Q 10), K m , and V max were studied in four enzymatic extracts from the selected strains that showed the highest productivity...
2016: Enzyme Research
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