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1. Process Research of Surface Laser Phase Transformation Hardening for 42CrMo Material

Author

Peiyu He, Yi Ding, Xinyao Hu, Liming Qian, Yun Wang, and Fuzhu Li

Subjects
42CrMo, laser phase transformation hardening, numerical simulation, processing technology, optimization design, Applied optics. Photonics, TA1501-1820
Abstract

42CrMo is an ultra-high-strength, low-alloy structural steel. To enhance its surface wear resistance and prolong the service life of components, surface strengthening techniques are commonly applied. In this study, a numerical model for the laser phase transformation hardening of 42CrMo was established. The temperature field and metallurgical transformations during the laser phase transformation hardening process were investigated through numerical simulation, and the morphology of the hardened layer after laser surface treatment was predicted. The effects of key process parameters on the temperature field and the characteristics of the hardened layer were identified. The optimal parameters for single-pass laser phase transformation hardening were found to be a laser power of 1200 W, a scanning speed of 20 mm/s, and a spot diameter of 6 mm. The accuracy of the simulation results was validated through laser phase transformation hardening experiments. The results indicate that under these optimal conditions—laser power of 1200 W and a scanning speed of 20 mm/s—the hardening effect is maximized. The surface hardness reaches a maximum of 782 HV0.2, with a cross-sectional hardness peaking at 875 HV0.2, which is three to four times higher than the base material’s hardness, with an average surface hardness of 745 HV0.2.

Published
2024
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2. Ecological Evaluation of Land Resources in the Yangtze River Delta Region by Remote Sensing Observation

Author

Yanlong Guo, Peiyu He, Pengyu Chen, and Linfu Zhang

Subjects
land resources, ecological security, evaluation index system, PSR model, Yangtze River Delta region, Agriculture
Abstract

The evaluation of land ecological security (LES) evaluates how human activity and land use affect land ecosystems. Its ultimate objective is to provide guidance and assistance for decision making in order to preserve and restore the efficacy and health of terrestrial ecosystems. The assessment model presented in this article is comprehensive and integrates the advantages of both subjective and objective weighting techniques. This study extends the “Pressure–State–Response” (PSR) model to “Driver–Pressure–State-Impact–Response” (DPSIR) and combines it with TOPSISI to determine the weights of each contributing component. Furthermore, the geographical and temporal distribution patterns of regional land ecological security levels were investigated using GIS geostatistical approaches. According to this study, (1) the Yangtze River Delta region’s LES index, with a mean value in the fairly safe range, is generally safe. The year 2019 marks an inflection point for the index, with the highest level of ecological safety on land. The primary element is the modification of environmental policies that are enacted by the government. (2) The LES status is divided into two stages during the course of this study. The Yangtze River Delta region’s LES quickly develops throughout the first stage (2012–2019), which sees a shift in the safety rating from IV to II. The second stage (2019–2023) sees a progressive improvement in the LES index and a shift in the safety category from Class II to Class I. (3) Important variables influencing the geographical distribution of LES in the Yangtze River Delta region include barrier elements, including soil and water erosion areas, flood disaster areas, grain planting areas, urban green covering areas, and effective irrigation areas of farmland.

Published
2024
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3. Augmented improved nested array with enhanced degrees of freedom and reduced mutual coupling effect

Author

Weichuang Yu, Peiyu He, Huiheng Liu, and Da Qiu

Subjects
array signal processing, degrees of freedom, difference coarray, direction of arrival estimation, mutual coupling, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Abstract To reduce mutual coupling of an improved nested array (INA), the authors propose an augmented improved nested array (AINA) by splitting the dense subarray of the INA into two parts and rearranging one of them on the right side of the last element in the INA, which enhances the number of unique lags in difference coarray and reduces the number of element pairs with small separations. The closed‐form expressions for the physical element locations, the range of consecutive lags and the number of unique lags are derived for any given element number. It is indicated that the AINA possesses higher degrees of freedom and less mutual coupling than the common sparse arrays. Numerical simulations verify the superiority of the proposed configuration.

Published
2023
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4. Spectrum–Effect Relationships as an Effective Approach for Quality Control of Natural Products: A Review

Author

Peiyu He, Chunling Zhang, Yaosong Yang, Shuang Tang, Xixian Liu, Jin Yong, and Teng Peng

Subjects
spectrum–effect relationships, fingerprints, efficacy, chemometric methods, natural products, traditional Chinese medicine, Organic chemistry, QD241-441
Abstract

As natural products with biological activity, the quality of traditional Chinese medicines (TCM) is the key to their clinical application. Fingerprints based on the types and contents of chemical components in TCM are an internationally recognized quality evaluation method but ignore the correlation between chemical components and efficacy. Through chemometric methods, the fingerprints represented by the chemical components of TCM were correlated with its pharmacodynamic activity results to obtain the spectrum–effect relationships of TCM, which can reveal the pharmacodynamic components information related to the pharmacodynamic activity and solve the limitations of segmentation of chemical components and pharmacodynamic research in TCM. In the 20th anniversary of the proposed spectrum–effect relationships, this paper reviews its research progress in the field of TCM, including the establishment of fingerprints, pharmacodynamic evaluation methods, chemometric methods and their practical applications in the field of TCM. Furthermore, the new strategy of spectrum–effect relationships research in recent years was also discussed, and the application prospects of this technology were discussed.

Published
2023
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5. Deformation and fracture behaviors of graded 2 titanium ultra-thin metallic sheets in water cavitation micro-forming

Author

Chao Yu, Yun Wang, Peiyu He, Fuzhu Li, and Ruitao Li

Subjects
Mechanical engineering and machinery, TJ1-1570
Abstract

Water cavitation micro-forming (WCMF) with high quantum efficiency and excellent accuracy are essential for the applications in micro-forming. In this study, based on the size effects, an effective regulation of the cavitation micro-forming was realized. Surprisingly, micro-forming of graded 2 titanium ultra-thin metallic sheets was retained at field of special forming with WCMF. Based on the Hugoniot Elastic Limit of the material, the deformation and fracture behaviors of the case were effectively modified via water-jet shock time varying. In addition, the relationship between the deformation and the fracture of the material and the obtained water-jet cavitation shock time was established. Particularly, the cavitation energy displayed a high efficiency (within 90 s) and have a significant contribution to the appearance of the parabolic dimples. Therefore, this work opens up new opportunities for the development of special forming with excellent micro-forming performance through manipulation of water-jet cavitation shock time.

Published
2022
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6. Process Parameters Analysis of Laser Phase Transformation Hardening on the Raceway Surface of Shield Main Bearing

Author

Peiyu He, Yi Ding, Shiying Jiang, Hengjie Zhang, Tianyu Shen, and Yun Wang

Subjects
main bearing, raceway surface, laser transformation, process parameters, primary and secondary factor, Applied optics. Photonics, TA1501-1820
Abstract

The main bearing of the shield machine has a huge structure and severe service conditions, which are prone to wear and fatigue damage. To improve the anti-wear and anti-fatigue ability of the raceway surface of the shield main bearing, laser transformation hardening under different parameters of the shield main bearing raceway material 42CrMo steel was researched. The effects of laser power and scanning speed on the phase transformation of 42CrMo steel and the depth of the hardened layer were studied. The numerical model was verified using the theoretical and experimental results. Orthogonal tables of laser processing parameters are established. The results show that the depth of the hardened raceway layer increases with increased laser power and decreased laser scanning speed. According to the results of orthogonal primary and secondary analyses and fuzzy comprehensive evaluation, the depth of the hardened layer of the raceway can reach 1.08 mm, and the hardened layer is relatively uniform (laser power, 2250 W; scanning speed, 20 mm/s; spot length, 5 mm). The research in this paper provides a theoretical basis and technological innovation for the processing methods and engineering applications of high-reliability and long-life shield main bearings, which is of great engineering significance.

Published
2023
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7. An Automatic Method to Develop Music With Music Segment and Long Short Term Memory for Tinnitus Music Therapy

Author

Jiemei Chen, Fan Pan, Ping Zhong, Tiantian He, Leiyu Qi, Jingzhe Lu, Peiyu He, and Yun Zheng

Subjects
LSTM, music segment, tinnitus, unlimited duration, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Tinnitus is a perception of sound when no external sound is present. It has seriously affected patients' life. Music is an option to relieve tinnitus in clinic, as it can bring enjoyment to listeners. However, existing music used in tinnitus therapies has limited duration, it is usually repetitively played during the long-term treatment and may not be helpful for relaxation. Moreover, individualized preferences of patients are ignored in most cases. Both of them may hinder tinnitus relief. Although existing methods can synthesize specific music that has unlimited duration and is not repetitively played, the synthesized music has defects with pitch mutations and long pitch durations. Moreover, characteristics of these synthesized music have not been confirmed by tinnitus patients. Therefore, this study presents an automatic method to develop the specific music based on music segments from existing music and long short term memory (LSTM). Numerical results indicate that specific music developed in this study not only retains characteristics of original music, but also overcome the defects above. Besides, a total of 30 tinnitus patients and 10 tinnitus-free volunteers participated the auditory experiment. Auditory results are consistent with numerical results and also suggest that tinnitus patients can perceive feelings that are conducive to tinnitus relief after listening preferred music. Therefore, the developed music presents a possible complement to tinnitus treatment in clinic.

Published
2020
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8. Influence of finite element mesh size on the carrying capacity analysis of single-row ball slewing bearing

Author

Peiyu He, Qinrong Qian, Yun Wang, Hong Liu, Erkuo Guo, and Hua Wang

Subjects
Mechanical engineering and machinery, TJ1-1570
Abstract

Slewing bearings are widely used in industry to provide rotary support and carry heavy load. The load-carrying capacity is one of the most important features of a slewing bearing, and needs to be calculated cautiously. This paper investigates the effect of mesh size on the finite element (FE) analysis of the carrying capacity of slewing bearings. A local finite element contact model of the slewing bearing is firstly established, and verified using Hertz contact theory. The optimal mesh size of finite element model under specified loads is determined by analyzing the maximum contact stress and the contact area. The overall FE model of the slewing bearing is established and strain tests were performed to verify the FE results. The effect of mesh size on the carrying capacity of the slewing bearing is investigated by analyzing the maximum contact load, deformation, and load distribution. This study of finite element mesh size verification provides an important guidance for the accuracy and efficiency of carrying capacity of slewing bearings.

Published
2021
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9. Influence of the elastic and elastic-plastic material parameters on the mechanical properties of slewing bearings

Author

Peiyu He, Yun Wang, Hong Liu, Erkuo Guo, and Hua Wang

Subjects
Mechanical engineering and machinery, TJ1-1570
Abstract

Slewing bearings are critical components of rotating equipment. Large structure sizes and heavy working load conditions require an extremely high load-bearing capacity and reliability. Overall and local contact finite element models of slewing bearings are verified by the empirical formula and Hertz contact theory. Validated finite element models are used to analyse the influence of the elastic material (E 1) and elastoplastic material parameters (EP 1, EP 2 and EP 3) on the load carrying capacity. The following conclusions are obtained by comparing the maximum contact load, the contact stress, the load distribution and the full-circle deformation. The influence of the material parameters on the slewing bearing is investigated to improve the analysis accuracy of the carrying capacity of the slewing bearings.

Published
2021
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26. analysis method of carrying capacity accuracy of three-row roller slewing bearing

Author

Peiyu HE, Yi DING, Yun WANG, Fuzhu LI, Weili LIU, and Hua WANG

Subjects
Condensed Matter Physics
Abstract

Three-row roller slewing bearings are one of the critical core components of large rotating equipment. Heavy-duty conditions have extremely high requirements for the carrying capacity. The new load capacity analysis method proposed in this paper can effectively improve the accuracy and efficiency of the carrying capacity analysis of three-row roller slewing bearings. The three-row roller slewing bearing solid rollers are replaced in the model by the upper and lower halves of the rollers and two springs. The local contact model of the three-row roller slewing bearing was established and verified by the Hertz contact theory. The overall finite element model of the three-row roller slewing bearing was verified by strain tests. The new method can calculate the stress and strain distribution, load distribution, and deformation of the entire circle of the three-row roller slewing bearing and reduce the mesh number of the finite element of the overall model. Roller chamfer can also be considered closer to the actual working conditions and improves calculation efficiency and accuracy.

Published
2022
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30. Cover Image, Volume 140, Issue 13

Author

Yewei Xu, Chunyan Yang, Hongyang Deng, Chi Zhong, Peiyu He, Tinghong Zhang, Yi Sun, Rui Yuan, Shuen Liang, Biao Kang, and Guanjun Chang

Subjects
Polymers and Plastics, Materials Chemistry, General Chemistry, Surfaces, Coatings and Films
Published
2023
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32. Initial Invasive or Conservative Strategy for Stable Coronary Disease

Author

Maron D. J., Hochman J. S., Reynolds H. R., Bangalore S., O'Brien S. M., Boden W. E., Chaitman B. R., Senior R., Lopez-Sendon J., Alexander K. P., Lopes R. D., Shaw L. J., Berger J. S., Newman J. D., Sidhu M. S., Goodman S. G., Ruzyllo W., Gosselin G., Maggioni A. P., White H. D., Bhargava B., Min J. K., John Mancini G. B., Berman D. S., Picard M. H., Kwong R. Y., Ali Z. A., Mark D. B., Spertus J. A., Krishnan M. N., Elghamaz A., Moorthy N., Hueb W. A., Demkow M., Mavromatis K., Bockeria O., Peteiro J., Miller T. D., Szwed H., Doerr R., Keltai M., Selvanayagam J. B., Gabriel Steg P., Held C., Kohsaka S., Mavromichalis S., Kirby R., Jeffries N. O., Harrell F. E., Rockhold F. W., Broderick S., Bruce Ferguson T., Williams D. O., Harrington R. A., Stone G. W., Rosenberg Y, ISCHEMIA Research Group: Joseph Ricci, A Tello Montoliu, A I Robero Aniorte, Abbey Mulder, Abhay A Laddu, Abhinav Goyal, Abhishek Dubey, Abhishek Goyal, Abigail Knighton, Abraham Oomman, Adam J Jaskowiak, Adam Kolodziej, Adam Witkowski, Adnan Hameed, Adriana Anesini, Afshan Hussain, Agne Juceviciene, Agne Urboniene, Agnes Jakal, Agnieszka Szramowska, Ahmad Khairuddin, Ahmed Abdel-Latif, Ahmed Adel, Ahmed Aljzeeri, Ahmed Kamal, Ahmed Talaat, Aimee Mann, Aira Contreras, Ajit Kumar, V K Kumar, Akemi Furukawa, Akshay Bagai, Akvile Smigelskaite, Alain Furber, Alain Rheault, Alaine Melanie Loehr, Alan Rosen, Albert Varga, Albertina Qelaj, Alberto Barioli, Aldo Russo, Alec Moorman, Alejandro Gisbert, Aleksandra Fratczak, Aleksandras Laucevicius, Alena Kuleshova, Alessandro Sionis, Alexander A Sirker, Alexander M Chernyavskiy, Alexandra Craft, Alexandra Vazquez, Alexandre Ciappina Hueb, Alexandre S Colafranseschi, Alexandre Schaan de Quadros, Alexandre Tognon, Ali Alghamdi, Alice Manica Muller, Aline Nogueira Rabaça, Aline Peixoto Deiro, Alison Hallam, Allegra Stone, Allison Schley, Almudena Castro, Alvaro Rabelo Ales, Amanda Germann, Amanda O'Malley, Amar Uxa, Amarachi Ojajuni, Amarino C Oliveira Jr, Amber B Hull, Ambuj Roy, Amer Zarka, Amir Janmohamed, Ammani Brown, Ammy Malinay, Amparo Martinez Monzonis, Amy J Richards, Amy Iskandrian, Amy Ollinger, Ana D Djordjevic-Dikic, Ana Fernández Martínez, Ana Gomes Almeida, Ana Paula Batista, Ana Rita Francisco, Ana S Mladenovic, Ana Santana, Anam Siddiqui, Anastasia M Kuzmina-Krutetskaya, Andras Vertes, Andre S Sousa, Andre Gabriel, André Schmidt, Andrea M Lundeen, Andrea Bartykowszki, Andrea Lorimer, Andrea Mortara, Andrea Pascual, Andreia Coelho, Andreia Rocha, Andrés García-Rincón, Andrew G Howarth, Andrew J Moriarty, Andrew Docherty, Andrew Starovoytov, Andrew Zurick, Andrzej Łabyk, Andrzej Swiatkowski, Andy Lam, Anelise Kawakami, Angela Hoye, Angela Kim, Angelique Smit, Angelo Nobre, Anil V Shah, Anja Ljubez, Anjali Anand, Ankush Sachdeva, Ann Greenberg, Ann Luyten, Ann Ostrander, Anna Di Donato, Anna Cichocka-Radwan, Anna Fojt, Anna Plachcinska, Anna Proietti, Anna Teresinska, Anne Marie Webb, Anne Cartwright, Anne Heath, Anne Mackin, Anong Amaritakomol, Anong Chaiyasri, Anoop Chauhan, Anoop Mathew, Anthony Gemignani, Anto Luigi Andres, Antonia Vega, Antonietta Hansen, Antonino Ginel Iglesias, Antonio Carlos Carvalho, Antonio Di Chiara, Antonio Serra Peñaranda, Antonio Carvalho, Antonio Colombo, Antonio Fiarresga, Anupama Rao, Aquiles Valdespino-Estrada, Araceli Boan, Areef Ishani, Ariel Diaz, Arijit Ghosh, Arintaya Prommintikul, Arline Roberts, Arnold H Seto, Arnold P Good, Arshed Quyyumi, Arthur J Labovitz, Arthur Kerner, Arturo S Campos-Santaolalla, Arunima Misra, Ashok Mukherjee, Ashok Seth, Ashraf Seedhom, Asim N Cheema, Asker Ahmed, Atul Mathur, Atul Verma, Audrey W Leong, Axel Åkerblom, Axelle Fuentes, Aynun Naher, Badhma Valaiyapathi, Baljeet Kaur, Bandula Guruge, Barbara Brzezińska, Barbara Nardi, Bartosz Czarniak, Bebek Singh, Begoña Igual, Bela Merkely, Belen Cid Alvarez, Benjamin J Spooner, Benjamin J W Chow, Benjamin Cheong, Benoy N Shah, Bernard de Bruyne, Bernardas Valecka, Bernhard Jäger, Beth A Archer, Beth Abramson, Beth Jorgenson, Bethany Harvey, Betsy O'Neal, Bev Atkinson, Bev Bozek, Bevin Lang, Bijulal Sasidharan, Bin Yang, Bin Zhang, Binoy Mannekkattukudy Kurian, Bjoern Goebel, Bob Hu, Bogdan A Popescu, Bogdan Crnokrak, Bolin Zhu, Bonnie J Kirby, Brandi D Zimbelman, Brandy Starks, Branko D Beleslin, Brenda Hart, Brian P Shapiro, Brian McCandless, Brianna Wisniewski, Brigham R Smith, Brooks Mirrer, Bruce McManus, Bruce Rutkin, Bruna Edilena Paulino, Bruna Maria Ascoli, Bryn Smith, Byron J Allen, C Michael Gibson, C Noel Bairey Merz, Calin Pop, Cameron Hague, Camila Thais de Ormundo, Candace Gopaul, Candice P Edillo, Carísi A Polanczyk, Carita Krannila, Carla Vicente, Carl-Éric Gagné, Carlo Briguori, Carlos Peña Gil, Carlos Alvarez, Carly Ohmart, Carmen C Beladan, Carmen Ginghina, Carol M Kartje, Caroline Alsweiler, Caroline Brown, Caroline Callison, Caroline Pinheiro, Caroline Rodgers, Caroline Spindler, Carolyn Corbett, Carrie Drum, Casey Riedberger, Catherine Bone, Catherine Fleming, Catherine Gordon, Catherine Jahrsdorfer, Catherine Lemay, Catherine Weick, Cathrine Patten, Cecilia Goletto, Cezary Kepka, Chandini Suvarna, Chang Xu, Chantale Mercure, Charle A Viljoen, Charlene Wiyarand, Charles Jia-Yin Hou, Charles Y Lui, Charles Cannan, Charles Cornet, Charlotte Pirro, Chataroon Rimsukcharoenchai, Chen Wang, Cheng-Ting Tsai, Chen-Yen Chien, Cheryl A Allardyce, Chester M Hedgepeth, Chetan Patel, Chiara Attanasio, Chih-Hsuan Yen, Chi-Ming Chow, Ching Min Er, Ching-Ching Ong, Cholenahally Nanjappa Manjunath, Chris Beck, Chris Buller, Christel Vassaliere, Christian Hamm, Christiano Caldeira, Christie Ballantyne, Christina Björklund, Christine R Hinton, Christine Bergeron, Christine Masson, Christine Roraff, Christine Shelley, Christophe Laure, Christophe Thuaire, Christopher Kinsey, Christopher McFarren, Christopher Spizzieri, Christopher Travill, Chun-Chieh Liu, Chung-Lieh Hung, Chunguang Li, Chun-Ho Yun, Chunli Xia, Ciarra Heard, Cidney Schultz, Clare Venn-Edmonds, Claudia P Hochberg, Claudia Wegmayr, Claudia Cortés, Claudia Escobar, Cláudia Freixo, Claudio T Mesquita, Clemens T Kadalie, Colin Berry, Constance Philander, Corine Thobois, Costantino Costantini, Courtney Page, Craig Atkinson, Craig Barr, Craig Paterson, Cristina Bare, Cynthia Baumann, Cynthia Burman, Dalisa Espinosa, Damien Collison, Dan Deleanu, Dan Elian, Dan Gao, Dana Oliver, Daniel P Vezina, Daniel O'Rourke, Daniele Komar, Danielle Schade, Darrel P Francis, Dastan Malaev, David A Bull, David E Winchester, David P Faxon, David Booth, David Cohen, David DeMets, David Foo, David Schlichting, David Taggart, David Waters, David Wohns, Davis Vo, Dawid Teodorczyk, Dawn Shelstad, Dawn Turnbull, Dayuan Li, Dean Kereiakes, Deborah O'Neill, Deborah Yip, Debra K Johnson, Debra Dees, Deepak L Bhatt, Deepika Gopal, Deepti Kumar, Deirdre Mattina, Deirdre Murphy, Delano R Small, Delsa K Rose, Dengke Jiang, Denis Carl Phaneuf, Denise Braganza, Denise Fine, Derek Cyr, Desiree Tobin, Diana Cukali, Diana Parra, Diane Camara, Diane Minshall Liu, Diego Adrián Vences, Diego Franca de Cunha, Dimitrios Stournaras, Dipti Patel, Dongze Li, Donna Exley, Dorit Grahl, Dragana Stanojevic, Duarte Cacela, Dwayne S G Conway, E Pinar Bermudez, Eapen Punnoose, Edgar L Tay, Edgar Karanjah, Edoardo Verna, Eduardo Hernandez-Rangel, Edward D Nicol, Edward O McFalls, Edward T Martin, Edyta Kaczmarska, Ekaterina I Lubinskaya, Elena A Demchenko, Elena Refoyo Salicio, Eli Feen, Elihú Durán-Cortés, Elisabeth M Janzen, Elise L Hannemann, Elise van Dongen, Elissa Restelli Piloto, Eliza Kaplan, Elizabeta Srbinovska Kostovska, Elizabeth Capasso-Gulve, Elizabeth Congdon, Elizabeth Ferguson, Elizaveta V Zbyshevskaya, Ellen Magedanz, Ellie Fridell, Ellis W Lader, Elvin Kedhi, Emanuela Racca, Emilie Tachot, Emily DeRosa, Encarnación Alonso-Álvarez, Eric Nicollet, Eric Peterson, Erick Alexánderson Rosas, Erick Donato Morales, Erin Orvis, Ermina Moga, Estelle Montpetit, Estevao Figueiredo, Eugene Passamani, Eugenia Nikolsky, Eunice Yeoh, Evgeniy I Kretov, Ewa Szczerba, Ewelina Wojtala, Expedito Eustáquio Ribeiro Silva, F Marin Ortuño, Fabio R Farias, Fabio Fimiani, Fabrizio Rolfo, Fa-Chang Yu, Fadi Hage, Fadi Matar, Fahim Haider Jafary, Fang Feng, Fang Liu, Fatima Ranjbaran, Fatima Rodriguez, Fausto J Pinto, Fauzia Rashid, Federica Ramani, Fei Wang, Fernanda Igansi, Filipa Silva, Filippo Ottani, Fiona Haines, Firas Al Solaiman, Flávia Egydio, Flavio Lyra, Florian Egger, Fran Farquharson, Frances Laube, Francesc Carreras Costa, Francesca de Micco, Francesca Bianchini, Francesca Pezzetta, Francesca Pietrucci, Francesco Orso, Francesco Pisano, Francis Burt, Francisca Patuleia Figueiras, Francisco Fernandez-Aviles, Francois Pierre Mongeon, Frans Van de Werf, Franziska Guenther, Fraser N Witherow, Fred Mohr, Frederico Dall'Orto, Fumiyuki Otsuka, G De La Morena, G Karthikeyan, Gabor Dekany, Gabor Kerecsen, Gabriel Galeote, Gabriel Grossmann, Gabriel Vorobiof, Gabriela Sanchez de Souza, Gabriela Guzman, Gabriela Zeballos, Gabriele Gabrielli, Gabriele Jakl-Kotauschek, Gail A Shammas, Gail Brandt, Gang Chen, Gary E Lane, Gary J Luckasen, Gautam Sharma, Gelmina Mikolaitiene, Gennie Yee, Georg Nickenig, George E Revtyak, George J Juang, Gerald Fletcher, Gerald Leonard, Gerard Patrick Devlin, Gerard Esposito, Gergely Ágoston, Gervasio Lamas, Geza Fontos, Ghada Mikhail, Gia Cobb, Gian Piero Perna, Gianpiero Leone, Giles Roditi, Gilles Barone-Rochette, Girish Mishra, Giuseppe Tarantini, Glenda Wong, Glenn S Hamroff, Glenn Rayos, Gong Cheng, Gonzalo Barge-Caballero, Goran Davidović, Goran Stankovic, Gordana Stevanovic, Grace Jingyan Wang, Grace M Young, Graceanne Wayser, Graciela Scaro, Graham S Hillis, Graham Wong, Grazyna Anna Szulczyk, Gregor Simonis, Gregory Kumkumian, Gretchen Ann Peichel, Grzegorz Gajos, Gudrun Steinmaurer, Guilherme G Rucatti, Guilherme Portugal, Guilhermina Cantinho Lopes, Guillem Pons Lladó, Gunnar Frostfelt, Gurpreet S Wander, Gurpreet Gulati, Gustavo Pucci, Hafidz Abd Hadi, Haibo Zhang, Haitao Wang, Halina Marciniak, Han Chen, Hanan Kerr, Hani Najm, Hanna Douglas, Hannah Phillips, Hao Dai, Haojian Dong, Haqeel Jamil, Harikrishnan Sivadasanpillai, Harry Suryapranata, Hassan Reda, Hayley Pomeroy, Heather Barrentine, Heather Golden, Heather Hurlburt, Heidi Wilson, Helen C Tucker, Helene Abergel, Hemalata Siddaram, Hermine Osseni, Herwig Schuchlenz, Hesong Zeng, Hicham Skali, Hilda Solomon, Hollie Horton, Holly Hetrick, Holly Little, Holly Park, Hongjie Chi, Hossam Mahrous, Howard A Levite, Hristo Pejkov, Huajun Li, Hugo Bloise-Adames, Hugo Marques, Hui Zhong, Hui-Min Zhang, Humayrah Hashim, Hung-I Yeh, Hussien El Fishawy, Ian Webb, Iftikhar Kullo, Igor O Grazhdankin, Ihab Hamzeh, Ikraam Hassan, Ikuko Ueda, Ileana L Pina, Ilona Tamasauskiene, Ilse Bouwhuis, Imran Arif, Ina Wenzelburger, Inês Zimbarra Cabrita, Ines Rodrigues, Inga H Robbins, Inga Soveri, Ingela Schnittger, Iqbal Karimullah, Ira M Dauber, Iram Rehman, Irena Peovska Mitevska, Irene Marthe Lang, Irina Subbotina, Irma Kalibataite-Rutkauskiene, Irni Yusnida, Isabel Estela Carvajal, Isabella C Palazzo, Isabelle Hogan, Isabelle Roy, Ishba Syed, Ishita Tejani, Ivan A Naryshkin, Ivana Jankovic, Iwona Niedzwiecka, J David Knight, Jacek Kusmierek, Jackie M White, Jackie Chow, Jacob Udell, Jacqueline E Tamis-Holland, Jacqueline Fannon, Jacquelyn A Quin, Jacquelyn Do, Jaekyeong Heo, Jakub Maksym, James E Davies, James H O'Keefe Jr, James J Jang, James Cha, James Harrison, James Hirsch, James Stafford, James Tatoulis, Jamie Rankin, Jan Henzel, Jan Orga, Jana Tancredi, Janaina Oliveira, Jane Burton, Jane Eckstein, Jane Marucci, Janet P Knight, Janet Blount, Janet Halliday, Janetta Kourzenkova, Janitha Raj, Jan-Malte Sinning, Jaqueline Pozzibon, Jaroslaw Drozdz, Jaroslaw Karwowski, Jason D Glover, Jason Loh Kwok, Jason T Call, Jason Linefsky, Jassira Gomes, Jati Anumpa, Javier J Garcia, Javier Courtis, Jay Meisner, K Jayakumar, Jayne Scales, Jean E Denaro, Jean Michel Juliard, Jean Ho, Jeanette K Stansborough, Jean-Michel Juliard, Jeanne Russo, Jeannette J M Schoep, Jeet Thambyrajah, Jeff Leimberger, Jeffery A Breall, Jeffrey A Kohn, Jeffrey C Milliken, Jeffrey Anderson, Jeffrey Blume, Jeffrey Kanters, Jeffrey Lorin, Jeffrey Moses, Jelena J Stepanovic, Jelena Celutkiene, Jelena Djokic, Jelena Stojkovic, Jenne M Jose, Jenne Manchery, Jennifer A Mull, Jennifer H Czerniak, Jennifer L Stanford, Jennifer Gillis, Jennifer Horst, Jennifer Isaacs, Jennifer Langdon, Jennifer Thomson, Jennifer Tomfohr, Jennifer White, Jen-Yuan Kuo, Jeremy Rautureau, Jerome Fleg, Jessica Berg, Jessica Rodriguez, Jessica Waldron, Jhina Patro, Jia Li, Jiajia Mao, Jiamin Liu, Jian'an Wang, Jianhua Li, Jianxin Zhang, Jie Qi, Jihyun Lyo, Jill Marcus, Jim Blankenship, Jing Zhang, Jingjing Liu, Jing-Yao Fan, Jiun-Yi Li, Jiwan Pradhan, Jiyan Chen, J M Rivera Caravaca, Jo Evans, Joan Garcia Picart, Joan Hecht, Joanna Jaroch, Joanna Zalewska, Joanne Kelly, Joanne Taaffe, João Reynaldo Abbud, João V Vitola, Joaquín V Peñafiel, Jocelyne Benatar, Jody Bindeman, Joe Sabik, Joel Klitch, Johann Christopher, Johannes Aspberg, John D Friedman, John F Beltrame, John F Heitner, John Joseph Graham, John R Davies, John Doan, John Kotter, John Kurian, John Mukai, John Pownall, Jolanta Sobolewska, Jon Kobashigawa, Jonathan L Goldberg, Jonathan W Bazeley, Jonathan Byrne, Jonathan Himmelfarb, Jonathan Leipsic, Jonean Thorsen, Jorge F Trejo Gutierrez, Jorge Escobedo, Jorik Timmer, José A Ortega-Ramírez, José Antonio Marin-Neto, Jose D Salas, Jose Enrique Castillo, Jose Francisco Saraiva, José J Cuenca-Castillo, Jose L Diez, José Luis Narro Villanueva, José Luiz da Vieira, José M Flores-Palacios, Jose Ramon Gonzalez, Jose Seijas Amigo, Jose Fragata, Josep Maria Padró, Josheph F X McGarvey Jr, Joseph Hannan, Joseph Sacco, Joseph Sweeny, Joseph Wiesel, Josephine D Abraham, Joshua P Loh, Joy Burkhardt, Joyce R White, Joyce Riestenberg-Smith, Judit Sebo, Judith L Meadows, Judith Wright, Judy Mae Foltz, Judy Hung, Judy Otis, Juergen Stumpf, Jui-Peng Tsai, Julia S Dionne, Julia de Aveiro Morata, Julie Bunke, Julie Morrow, Julio César Figal, Jun Fujita, Jun Jiang, Junhua Li, Junqing Yang, Juntima Euathrongchit, Jyotsna Garg, K Manjula Rani, K Preethi, Kaatje Goetschalckx, Kai Eggers, Kamalakar Surineni, Kanae Hirase, T R Kapilamoorthy, Karen Calfas, Karen Gratrix, Karen Hallett, Karen Hultberg, Karen Nugent, Karen Petrosyan, Karen Swan, Karolina Kryczka, Karolina Wojtczak-Soska, Karolina Wojtera, Karsten Lenk, Karthik Ramasamy, Katarzyna Łuczak, Katarzyna Malinowska, Kate Pointon, Kate Robb, Katherine Martin, Kathleen Claes, Kathryn Carruthers, Kathy E Siegel, Katia Drouin, Katie Fowler-Lehman, Kavita Rawat, Kay Rowe, Keiichi Fukuda, Keith A A Fox, Ken Mahaffey, Kendra Unterbrink, Kenneth Giedd, Kerrie Van Loo, Kerry Lee, Kerstin Bonin, Kevin R Bainey, Kevin T Harley, Kevin Anstrom, Kevin Chan, Kevin Croce, Kevin Landolfo, Kevin Marzo, Keyur Patel, Khaled Abdul-Nour, Khaled Alfakih, Khaled Dajani, Khaled Ziada, Khaula Baloch, Khrystyna Kushniriuk, Kian-Keong Poh, Kim F Ireland, Kim Holland, Kimberly Ann Byrne, Kimberly E Halverson, Kimberly Elmore, Kimberly Miller-Cox, Kiran Reddy, Kirsten J Quiles, Kirsty Abercrombie, Klaus Matschke, Konrad Szymczyk, Koo Hui Chan, Kotiboinna Preethi, Kozhaya Sokhon, Krissada Meemuk, Kristian Thygesen, Kristin M Salmi, Kristin Newby, Kristina Wippler, Kristine Arges, Kristine Teoh, Krystal Etherington, Krystyna Łoboz-Grudzień, Krzysztof W Reczuch, Krzysztof Bury, Krzysztof Drzymalski, Krzysztof Kukuła, Kuo-Tzu Sung, Kurt Huber, Ladda Douangvila, Lance Sullenberger, Larissa Miranda Trama, Laszlone Matics, Laura Drew, Laura Flint, Laura Keinaite, Laura Sarti, Laurel Kolakaluri, Lawrence M Phillips, Lawrence Friedman, Lawrence Phillips, Lazar Velicki, Leah Howell, Leandro C Maranan, Leanne Cox, Ledjalem Daba, Lei Zhang, Lekshmi Dharmarajan, Leo Bockeria, Leonardo Pizzol Caetano, Leonardo Bridi, Leonid L Bershtein, Leszek Sokalski, Li Hai Yan, Li Li, Lia Nijmeijer, Lidia Sousa, Lihong Xu, Lihua Zhang, Lili Zhang, Lilia Schiavi, Lilian Mazza Barbosa, Lillian L Khor, Lina Felix-Stern, Linda L Hall, Linda M Hollenweger, Linda Arcand, Linda Davidson-Ray, Linda Schwarz, Lindsey N Sikora, Lingping Chi, Lino Patricio, Liping Zhang, Lisa Chaytor, Lisa Hatch, Lisa McCloy, Lisa Wong, Liselotte Persson, Lixin Jiang, Liz Low, Ljiljana Pupic, Loïc Bière, Lorenzo Monti, Lori Christensen, Lori Pritchard, Loriane Black, Lori-Ann Desimone, Lori-Ann Larmand, Lorraine McGregor, Louise Morby, Louise Thomson, Luc Harvey, Luciana de Pádua Baptista, Lucilla Garcia, Ludivine Eliahou, Ludmila Helmer, Luis F Smidt, Luis Bernanrdes, Luis Guzman, Luiz A Carvalho, Luyang Xiong, Lynette L Teo, Lynn M Neeson, Lynne Winstanley, M Barbara Srichai-Parsia, M Quintana Giner, M Sowjanya Reddy, M Valdés Chávarri, M Grazia Rossi, Maarten Simoons, Maayan Konigstein, Maciej Lesiak, Maciej Olsowka, Mafalda Selas, Magalie Corfias, Magdalena Madero Rovalo, Magdalena Łanocha, Magdalena Miller, Magdalena Misztal-Teodorczyk, Magdalena Rantinella, Magdy Abdelhamid, Magnolia Jimenez, Mahboob Alam, Mahevamma Mylarappa, Mahfouz El Shahawy, Mahmoud Mohamed, Mahmud Al-Bustami, Majo X Joseph, Malgorzata Frach, Małgorzta Celińska-Spodar, Malte Helm, Manas Chacko, Mandy Murphy, Manitha Vinod, Manjula Rani, Manu Dhawan, Manuela Mombelli, Marcel Weber, Marcello Galvani, Marcelo Jamus Rodrigues, Marcia F Dubin, Marcia F Werner Bayer, Marcin Szkopiak, Marco Antonio Monsalve, Marco Bizzaro Santos, Marco Magnoni, Marco Marini, Marco Sicuro, Marco Zenati, Marcos Valério Coimbra Resende, Marek Roik, Margalit Bentzvi, Margaret Gilsenan, Margaret Iraola, Margot C 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Jr, Matthew Budoff, Matthew Jezior, Matthew Luckie, Matthias Friedrich, Mauren P Haeffner, Maximilian Tscharre, Max-Paul Winter, Mayana Almeida, Mayil S Krishnam, Mayuri Patel, Meenakshi Mishra, Megan Manocchia, Meghana Kakade, Melanie J Munro, Melissa D Chaplin, Melissa LeFevre, Mervyn Andiapen, Michael A Gibson, Michael B Rubens, Michael C Turner, Michael D Shapiro, Michael W Lee, Michael Berlowitz, Michael Davidson, Michael Mack, Michael McDaniel, Michael Mumma, Michal Wlodarczyk, Michel G Khouri, Michel S Slama, Michele Rawlins, Michelle M Bonner, Michelle M Seib, Michelle Chang, Michelle Crowder, Michelle Dixon, Michelle Mayon, Michelle McEvoy, Michelle Yee, Miguel M Fernandes, Miguel Nobre Menezes, Miguel Souto Bayarri, Miguel Barrero, Mikhail T Torosoff, Milan R Dobric, Milan Dobric, Milica Nikola Dekleva, Milind Avdhoot Gadkari, Millie Gomez, Min Tun Kyaw, Miriam Brooks, Miroslav Stevo Martinovic, Mitchel B Lustre, Mohammad Tariq Vakani, Mohammad El-Hajjar, Mohammed Al-Amoodi, 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Riezebos, Robert M Donnino, Robert Bojar, Robert Chilton, Robert Guyton, Robert Henderson, Robert Kornberg, Robert Leber, Robert Mao, Robert Stenberg, Roberta P Santos, Roberto René Favaloro, Roberto Amati, Rodolfo G S D Lima, Rodrigo J Cerci, Rogerio Tumelero, Rohit Tandon, Roma Tewari, Romalisa Miranda-Peats, Ron Wald, Ronald A Mastouri, Ronald G Morford, Ronald G Schwartz, Ronald P Pedalino, Rongrong Hu, Ronnell A Hansen, Ronny A Cohen, Rory Hachamovitch, Rosa Homem, Rosa Sandonato, Rosane Laimer, Rosann Gans, Roxanne Yost, Roy Mathew, Rubén Baleón-Espinosa, Ruben Ramos, Rubine Gevorgyan, Rui Ferreira, Rui Jing, Ruth Pérez-Fernández, S K Dwivedi, S Ramakrishnan, Saadat Khan, Sabahat Bokhari, Sabu Thomas, Sadath Lubna, Sajeeda Parveen Khan, Sajeev Chakanalil Govindan, Saket Girotra, Saleem Kassam, Sallie Canada, Salvador Cruz-Flores, Samaa Mohamed, Samantha Ly, Sameh El Kaffas, Samia Massalha, Sampoornima Setty, Samuel Nwosu, Sandeep Seth, Sandeep Singh, Sander R Niehe, Sandra M 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Hachamovitch, Rosa Homem, Rosa Sandonato, Rosane Laimer, Rosann Gans, Roxanne Yost, Roy Mathew, Rubén Baleón-Espinosa, Ruben Ramos, Rubine Gevorgyan, Rui Ferreira, Rui Jing, Ruth Pérez-Fernández, S K Dwivedi, S Ramakrishnan, Saadat Khan, Sabahat Bokhari, Sabu Thomas, Sadath Lubna, Sajeeda Parveen Khan, Sajeev Chakanalil Govindan, Saket Girotra, Saleem Kassam, Sallie Canada, Salvador Cruz-Flores, Samaa Mohamed, Samantha Ly, Sameh El Kaffas, Samia Massalha, Sampoornima Setty, Samuel Nwosu, Sandeep Seth, Sandeep Singh, Sander R Niehe, Sandra M Rivest, Sandra S Zier, Sandra Ahoud, Sandy Carr, Sanjay Ganapathi, Sanjay Shetty, Sanjeev Sharma, Santa Jimenez, Santhosh Satheesh, Santiago A Garcia, Sara Fernandez, Sara Karlsson, Sara Salkind, Sara Temiyasathit, Sarah Medina Rodriguez, Sarah Beaudry, Sarah Hadjih, Sarah Williams, Sarah Zahrani, Sarju Ralhan, Sasa Hinic, Sasko Kedev, Satinder Singh, Satoshi Yasuda, Satvic Cholenahally Manjunath, Sau Lee, Scott M Kaczkowski, Scott Kinlay, Sean W Hayes, Sebastian Sobczak, Senait Asier, Sergey A Sayganov, Seth I Sokol, Shaheen Pandie, Shaiful Azmi Yahaya, Shamir Mehta, Shao-Ping Nie, Sharad Chandra, Sharder Islam, Sharon Tai, Sheetal Rupesh Karwa, Sheri Ussery, Sheromani Bajaj, Sherron C Crook, Shigeyuki Nishimura, Shintaro Nakano, Shirin Heydari, Shiv Kumar Choudhary, Shivali Patel, Shobana Ganesan, Shruti Pandey, Shuyang Zhang, Shweta Hande, Siddharth Gadage, Sik-Yin V Tan, Silvia Zottis Poletti, Silvia Riera, Silvia Valbuena, Simon Walsh, Simona Maspoli, Simone Savaris, Si-Ting Feng, So Yang Cho, Solomon Yakubov, Songlin Zhu, Songtao Wang, Sonia Guerrero, Sonika Gupta, Sonja Salinger Martinovic, Sonya Brons, Sorin Brener, Sothinathan Gurunathan, Souheil Saba, Soundarya Nayak, Sowjanya Reddy, Srinivasa Potluri, Sriram Sudarshan, Srun Kuanprasert, Stacie Van Oosterhout, Stamatios Lerakis, Stanley E Cobos, Stefan C Bertog, Stefan M Simović, Stefan Weikl, Stefano Di Marco, Stefano Provasoli, Stephanie A Tirado, Stephanie C Boer, Stephanie M Lane, Stephanie Ferket, Stephanie Kelly, Stephanie Wasmiller, Stephen H McKellar, Stephen P Hoole, Stephen Fremes, Stephen Preston, Steve Leung, Steven A Fein, Steven J Lindsay, Steven P Sedlis, Steven Giovannone, Steven Michael, Steven Weitz, Stijn van Vugt, Subhash Banerjee, Sudhir Naik, Suellen Hosino, Sukie Desire, Sukit Yamwong, Suku T Thambar, Sulagna Mookherjee, Suman Singh, Sundeep Mishra, Sunil Kumar Verma, Supap Kulthawong, Supatchara Khwakhong, Surendra Naik, Suresh Babu, Surin Woragidpoonpol, Suryaprakash Narayanappa, Susan Derbyshire, Susan Gent, Susan Mathus, Susan Milbrandt, Susan Moore, Susan Regan, Susan Stinson, Susan Webber, Susana Silva, Susanna Stevens, Susanne Gruensfelder, Suthara Aramcharoen, Suvarna Kolhe, Suzana Tavares, Suzanne Arnold, Suzanne Welsh, Svetlana Apostolovic, Swapna Kunhunny, Ta-Chuan Hung, Taissa Zappernick, Tali Sharir, Talita Silva, Tamara Colaiácovo Soares, Tapan Umesh Pillay, Tarun K Mittal, Tatiana Trifonova, Tauane Bello Duarte, Tauqir Huk, Téodora Dutoiu, Terrance Chua, Terry Weyand, Thabitha Charles, Theodoros Kofidis, Theresa McCreary, Thierry Lefevre, Thippeekaa Arumairajah, Thitipong Tepsuwan, Thomas J Mulhearn, Thomas M Meyer, Thomas P Rocco, Thomas R Downes, Thomas Crain, Thomas Haldis, Thomas Mathew, Thomas Redick, Thounaojam Indira Devi, Thuraia Nageh, Tia Cauthren, Tiago Silva, Tiffany Little, Tijana Andric, Tina Harding, Titus Lau, Tiziana Formisano, Tiziano Moccetti, Tomasz Ciurus, Tomasz Mazurek, Tomasz Tarchalski, Toshiyuki Nagai, Tri Tran, Tricia Youn, Trish Tucker, Trudie Milner, Tuhina Bose, Tushar Kotecha, Udo Sechtem, Uma S Valeti, Umberto Cucchini, Umesh Badami, Upendra Kaul, V K Bahl, V S Narain, Valentina Casali, Valeria Godoy, Valerie Robesyn, Vamshi P Priya, Vandana Yadav, Vera McKinney, Veronica De Lenges, Veronica Tinnirello, Vicente Miro, Victor Navarro, Victoria Gumerova, Victoria Hernandez, Vidya Seeratan, Vijay Kumar, Vikentiy Y Kozulin, Viktoria Bulkley, Vilmar Veiga Jr, Vincent Setang, C P Vineeth, Virginai Pubull Nuñez, Virginia Fernández-Figares, Vitor Gomes, Viviana Gabriel, Viviane Dos Santos, Viviane Almeida, Vlad A Iliescu, Vladan Mudrenovic, Vladimir Dzavik, Vojislav L Giga, Walter Enrique Mogrovejo, Wan Xian Chan, Wanda C Marfori, Wanda Parker, Warangkana Mekara, Wassim Nona, Wayne Old, Wayne Pennachi, Weerachai Nawarawong, Wei Chen, Wei Su, Weibing Xing, Wei-Ren Lan, Wenda Crawford, Wendy L Stewart, Wendy Drewes, Wenhua Lin, William B Abernethy, William D Salerno, William F Fearon, William Vergoni, William Weintraub, Winnie C Sia, Wlodzimierz J Musial, Xacobe Flores-Ríos, Xavier Garcia-Moll Marimon, Xi Su, Xiang Ma, Xiangqiong Gu, Xiao Wang, Xiaomei Li, Xiaowei Yao, Xin Fu, Xin Su, Xin Zeng, Xinchun Yang, Xiuhong Li, Xuehua Fang, Xutong Wang, Yaming Geng, Yan Yan, Yanek Pépin-Dubois, Yanfu Wang, Yang Wang, Yanmeng Tian, Yaping Huang, Yechen Han, Yesenia Zambrano, Yi-Hsuan Yang, Ying Tung Sia, Yining Yang, Yitong Ma, Yolayfi Peralta, Yongjian Wu, Yu Kunwu, Yu Zhao, Yudong Peng, Yueh-Hung Lin, Yulan Zhao, Yumei Dong, Yunhai Zhao, Yutthaphan Wannasopha, Yvonne Taul, Zakir Sahul, Zalina Kudzoeva, Zbigniew Kalarus, Zeljko Z Markovic, Zhen Huang, Zheng Ji, Zhenyu Liu, Zhou Yue, Zhulin Zhang, Zhuxi Li, Zile Singh Meharwal, Ziliang Bai, Zixiang Yu, Zohra Huda, Zoltan Davidovits

Subjects
Male, Cardiac Catheterization, Computed Tomography Angiography, medicine.medical_treatment, Myocardial Ischemia, Coronary Disease, Coronary Artery Disease, Kaplan-Meier Estimate, 030204 cardiovascular system & hematology, Coronary Angiography, ISCHEMIA Research Group, law.invention, Angina, Coronary artery disease, 0302 clinical medicine, Randomized controlled trial, law, Cardiovascular Disease, Myocardial Revascularization, 030212 general & internal medicine, Coronary Artery Bypass, 11 Medical and Health Sciences, Cardiac catheterization, General Medicine, Middle Aged, humanities, Cardiovascular Diseases, Cardiology, Female, Human, medicine.medical_specialty, Ischemia, Article, 03 medical and health sciences, Geriatric cardiology, Percutaneous Coronary Intervention, General & Internal Medicine, Internal medicine, medicine, Humans, Angina, Unstable, Aged, business.industry, Coronary Artery Bypa, Percutaneous coronary intervention, Bayes Theorem, medicine.disease, Heart failure, Quality of Life, business
Abstract

BACKGROUND: Among patients with stable coronary disease and moderate or severe ischemia, whether clinical outcomes are better in those who receive an invasive intervention plus medical therapy than in those who receive medical therapy alone is uncertain. METHODS: We randomly assigned 5179 patients with moderate or severe ischemia to an initial invasive strategy (angiography and revascularization when feasible) and medical therapy or to an initial conservative strategy of medical therapy alone and angiography if medical therapy failed. The primary outcome was a composite of death from cardiovascular causes, myocardial infarction, or hospitalization for unstable angina, heart failure, or resuscitated cardiac arrest. A key secondary outcome was death from cardiovascular causes or myocardial infarction. RESULTS: Over a median of 3.2 years, 318 primary outcome events occurred in the invasive-strategy group and 352 occurred in the conservative-strategy group. At 6 months, the cumulative event rate was 5.3% in the invasive-strategy group and 3.4% in the conservative-strategy group (difference, 1.9 percentage points; 95% confidence interval [CI], 0.8 to 3.0); at 5 years, the cumulative event rate was 16.4% and 18.2%, respectively (difference, -1.8 percentage points; 95% CI, -4.7 to 1.0). Results were similar with respect to the key secondary outcome. The incidence of the primary outcome was sensitive to the definition of myocardial infarction; a secondary analysis yielded more procedural myocardial infarctions of uncertain clinical importance. There were 145 deaths in the invasive-strategy group and 144 deaths in the conservative-strategy group (hazard ratio, 1.05; 95% CI, 0.83 to 1.32). CONCLUSIONS: Among patients with stable coronary disease and moderate or severe ischemia, we did not find evidence that an initial invasive strategy, as compared with an initial conservative strategy, reduced the risk of ischemic cardiovascular events or death from any cause over a median of 3.2 years. The trial findings were sensitive to the definition of myocardial infarction that was used. (Funded by the National Heart, Lung, and Blood Institute and others; ISCHEMIA ClinicalTrials.gov number, NCT01471522.).

Published
2020
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33. Investigation on chronic tinnitus efficacy of combination of non-repetitive preferred music and educational counseling: a preliminary study

Author

Yun Zheng, Zhaoli Meng, Ping Zhong, Jingzhe Lu, Peiyu He, Fan Pan, Tiantian He, Leiyu Qi, and Jiemei Chen

Subjects
Counseling, medicine.medical_specialty, Music therapy, Visual analogue scale, Tinnitus, 03 medical and health sciences, 0302 clinical medicine, Surveys and Questionnaires, Intervention (counseling), otorhinolaryngologic diseases, Humans, Medicine, 030223 otorhinolaryngology, Music Therapy, business.industry, General Medicine, Clinical trial, Distress, Treatment Outcome, Otorhinolaryngology, 030220 oncology & carcinogenesis, Physical therapy, Neurosurgery, medicine.symptom, business, Music
Abstract

To improve the efficacy of music therapy on tinnitus relief, specific music that was not repetitively played and satisfies individualized preference was developed. The aim of this study was to investigate effects of combination of the specific music and educational counseling on tinnitus relief in short term. Sixty patients suffering from chronic tinnitus were included. The non-randomized controlled study was designed with two intervention groups: educational counseling (EC, which included a 1-h individualized instruction) and preferred music therapy [PMT, which included EC plus 15, 30-min preferred music sessions (PMS)]. Three assessments—the Chinese-Mandarin version of Tinnitus Handicap Inventory (THI-CM), Tinnitus Evaluation Questionnaire (TEQ), and Visual Analogue Scale (VAS) were administered before and 1, 2, 3 weeks after initiation of treatment to evaluate the efficacy. Twenty-six patients in PMT group attained a clinically meaningful improvement in THI compared to 15 in the EC group, though both groups achieved a statistically relevant reduction in the 3 assessments. The PMT had a positive impact on chronic tinnitus and related distress in a short term. It outperformed the separate EC, which is an appropriate treatment option in clinic. Therefore, it presents a possible complement to the therapeutic spectrum in chronic tinnitus. Chinese Clinical Trial Registry, ChiCTR1900022624. Registered on 19 April 2019.

Published
2020
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34. Effect of high-strength bolts and supporting structures on the carrying capacity of three-row roller slewing bearings

Author

Peiyu He and Yun Wang

Subjects
0209 industrial biotechnology, Materials science, business.industry, Mechanical Engineering, Core component, Heavy load, 02 engineering and technology, Structural engineering, Slewing bearing, 020303 mechanical engineering & transports, 020901 industrial engineering & automation, 0203 mechanical engineering, Carrying capacity, business
Abstract

Three-row roller slewing bearings are the core components of large-scale rotating equipment. A large structural size and heavy load conditions require an extremely high carrying capacity. The inner ring of the slewing bearing is divided into upper and lower parts in this paper, which is the same as the actual working condition and effectively avoids the increase in the stiffness caused by simplifying the inner ring as a whole. Different bolt models and bolt preloads, the effect of the roller diameter on the stiffness and the strength of the support structure are analysed to improve the calculation accuracy and efficiency of the carrying capacity of the slewing bearing. Calculation formulas based on engineering experience and strain measurement are used to verify the validity of the finite element model. The research shows that the carrying capacity of the slewing bearing is affected by the supporting structure; as the bolt preload increases, the overall deformation of the slewing bearing decreases, and the load distribution is smoother. The key structures of the slewing bearing are studied, which is conducive to improving the carrying capacity and optimizing the design.

Published
2020
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36. Comparative Study on the Annealing of Cold-Sprayed Boron Nitride Nanosheet/Copper Coating Using Spark Plasma Sintering and Atmosphere Furnace

Author

Zhenqiang Liu, Hongtao Wang, Yun Wang, Lihui Tian, Hua Li, Weili Liu, Peiyu He, Hong Liu, and Ruitao Li

Subjects
History, Polymers and Plastics, Materials Chemistry, Surfaces and Interfaces, General Chemistry, Business and International Management, Condensed Matter Physics, Industrial and Manufacturing Engineering, Surfaces, Coatings and Films
Published
2022
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40. An Automatic Method to Develop Music With Music Segment and Long Short Term Memory for Tinnitus Music Therapy

Author

Jingzhe Lu, Tiantian He, Yun Zheng, Fan Pan, Leiyu Qi, Peiyu He, Ping Zhong, and Jiemei Chen

Subjects
medicine.medical_specialty, Music therapy, General Computer Science, media_common.quotation_subject, Audiology, behavioral disciplines and activities, 03 medical and health sciences, 0302 clinical medicine, Perception, medicine, otorhinolaryngologic diseases, General Materials Science, Active listening, music segment, tinnitus, 030223 otorhinolaryngology, media_common, Relaxation (psychology), Complement (music), General Engineering, unlimited duration, humanities, Feeling, Duration (music), lcsh:Electrical engineering. Electronics. Nuclear engineering, medicine.symptom, Psychology, LSTM, human activities, lcsh:TK1-9971, 030217 neurology & neurosurgery, Tinnitus
Abstract

Tinnitus is a perception of sound when no external sound is present. It has seriously affected patients’ life. Music is an option to relieve tinnitus in clinic, as it can bring enjoyment to listeners. However, existing music used in tinnitus therapies has limited duration, it is usually repetitively played during the long-term treatment and may not be helpful for relaxation. Moreover, individualized preferences of patients are ignored in most cases. Both of them may hinder tinnitus relief. Although existing methods can synthesize specific music that has unlimited duration and is not repetitively played, the synthesized music has defects with pitch mutations and long pitch durations. Moreover, characteristics of these synthesized music have not been confirmed by tinnitus patients. Therefore, this study presents an automatic method to develop the specific music based on music segments from existing music and long short term memory (LSTM). Numerical results indicate that specific music developed in this study not only retains characteristics of original music, but also overcome the defects above. Besides, a total of 30 tinnitus patients and 10 tinnitus-free volunteers participated the auditory experiment. Auditory results are consistent with numerical results and also suggest that tinnitus patients can perceive feelings that are conducive to tinnitus relief after listening preferred music. Therefore, the developed music presents a possible complement to tinnitus treatment in clinic.

Published
2020

41. Functional Informed Fiber Tracking Using Combination of Diffusion and Functional MRI

Author

Zhaohua Ding, Zhipeng Yang, Xi Wu, Jiliu Zhou, and Peiyu He

Subjects
Genu of the corpus callosum, medicine.diagnostic_test, Computer science, 0206 medical engineering, Thalamus, Biomedical Engineering, Sensory system, 02 engineering and technology, Human brain, Frontal lobe/cortex, 020601 biomedical engineering, White matter, medicine.anatomical_structure, medicine, Functional magnetic resonance imaging, Neuroscience, Tractography, Diffusion MRI
Abstract

Fiber tractography using diffusion weighted MRI (DWI) is a primary tool for mapping structural connectivity in the human brain in vivo . However, this method suffers from a number of inherent limitations that have a significant impact on its capability in faithfully constructing fiber bundles for specific function. In this paper, a novel tractography algorithm combining DWI and functional MRI (fMRI) was proposed. Specifically, a spatio-temporal correlation tensor that characterizes the anisotropy of fMRI signals in white matter was introduced to complement the estimation of fiber orientation density function from DWI. The proposed method has been demonstrated to identify functional pathways implicated in fMRI task. It can effectively follow tracts in the genu of the corpus callosum that connects to the frontal lobe cortex, obtain connections between the thalamus and the anterior insula under sensory simulation, and reconstruct optic radiations in the visual circuit under visual stimulation. Taken together, the method we proposed in this work may benefit our understanding of structure-function relations in the human brain.

Published
2019
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42. Changes of oscillogram envelope maximum with blood pressure and aging: a quantitative observation

Author

Fan Pan, Peiyu He, Yongjun Qian, Hu Gao, Fei Chen, Haipeng Liu, and Dingchang Zheng

Subjects
Male, Aging, Physiology, Oscillometry, Data Collection, Physiology (medical), Biomedical Engineering, Biophysics, Humans, Female, Blood Pressure, Blood Pressure Determination, Middle Aged
Abstract

Objective. The oscillometric blood pressure (BP) measurement technique estimates BPs from analyzing the oscillometric cuff pressure waveform (oscillogram) envelope. The oscillogram envelope maximum is associated with physiological changes and influences BP measurement accuracy. We aim to quantitatively investigate the effect of BP and aging on the changes of oscillogram envelope maximum. Approach. Four hundred and sixty-two subjects (214 female, 248 male) were recruited. The cuff pressure was digitally recorded during linear cuff deflation to derive oscillogram envelopes and their maximums. Moderation analysis was performed to investigate whether the relationship between BP and envelope maximum was moderated by age. Subjects were divided into five age categories and three BP groups. The envelope maximums were compared between different BP and age categories to qualify their changes with increased BP and aging. Main results. Age has a significant moderating effect on the relationship between BP and envelope maximum (P P P 60 years old groups in comparison with younger groups). Significance. This study experientially and theoretically concluded the BPs and aging are two important factors that influence the maximum value of the oscillogram envelope.

Published
2022
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43. Development and Validation of a Deep Learning-based Automatic Auscultatory Blood Pressure Measurement Method

Author

He Wang, Peiyu He, Fei Chen, Yuhang Xu, Fan Pan, Xiaobo Pu, Qijun Zhao, and Dingchang Zheng

Subjects
Accuracy and precision, Observational error, Computer science, business.industry, Deep learning, 0206 medical engineering, Biomedical Engineering, Health Informatics, Pattern recognition, 02 engineering and technology, Gold standard (test), 020601 biomedical engineering, Convolutional neural network, 03 medical and health sciences, 0302 clinical medicine, Blood pressure, Signal Processing, Korotkoff sounds, Artificial intelligence, Sensitivity (control systems), business, 030217 neurology & neurosurgery
Abstract

Manual auscultatory is the gold standard for clinical non-invasive blood pressure (BP) measurement, but its usage is decreasing as it requires substantial professional skills and training, and its environmental concerns related to mercury toxicity. As an alternative, automatic oscillometric technique has been used as one of the most common methods for BP measurement, however, it only estimates BPs based on empirical equations. To overcome these problems, this study aimed to develop a deep learning-based automatic auscultatory BP measurement method, and clinically validate its performance. A deep learning-based method that utilized time-frequency characteristics and temporal dependence of segmented Korotkoff sound (KorS) signals and employed convolutional neural network (CNN) and long short-term memory (LSTM) network was developed and trained using KorS and cuff pressure signals recorded from 314 subjects. The BPs determined by the manual auscultatory method was used as the reference for each measurement. The measurement error and BP category classification performance of our proposed method were then validated on a separate dataset of 114 subjects. Its performance in comparison with the oscillometric method was also comprehensively analyzed. The deep learning method achieved measurement errors of 0.2 ± 4.6 mmHg and 0.1 ± 3.2 mmHg for systolic BP and diastolic BP, respectively, and achieved high sensitivity, specificity and accuracy (all > 90 %) in classifying hypertensive subjects, which were better than those of the traditional oscillometric method. This validation study demonstrated that deep learning-based automatic auscultatory BP measurement can be developed to achieve high measurement accuracy and high BP category classification performance.

Published
2021

44. Influence of aging and increased blood pressure on oscillometric cuff pressure waveform characteristics

Author

Dingchang Zheng, Feng Junfeng, Xiaobo Pu, Pan Fan, Fei Chen, Peiyu He, and Hu Gao

Subjects
Male, medicine.medical_specialty, Mean arterial pressure, Aging, Physiology, Age categories, Diastole, Blood Pressure, Internal medicine, Oscillometry, Internal Medicine, Medicine, Waveform, Humans, Aged, business.industry, Blood Pressure Determination, Middle Aged, Cuff pressure, Blood pressure, Cuff, Hypertension, Cardiology, Female, Cardiology and Cardiovascular Medicine, business
Abstract

The oscillometric blood pressure (BP) measurement technique estimates BPs from analyzing the envelop of oscillometric cuff pressure waveform. The oscillometric waveform envelope shape is associated with physiological changes and influences BP measurement accuracy. The aim of this study was to comprehensively quantify BP- and age-related changes of oscillometric waveform envelope characteristics.Manual systolic and diastolic BPs were measured from 472 patients (219 female, 253 male), and the cuff pressure were digitally recorded during linear cuff deflation that was used to derive oscillometric waveform envelopes. All patients were divided into different categories according to their BP level and age. The envelope width in high-pressure region (above mean arterial pressure, MAP) and low-pressure region (below MAP) were compared between different BP and age categories to qualify their changes with increased BP and aging.The envelop widths increased significantly with increased BPs (P 0.001 between optimal, normotensive and hypertensive groups) and aging (P 0.001 for50 years old group in comparison with younger groups). The envelope widths in high-pressure region were significantly larger than in low-pressure region in normal and hypertensive categories (all P 0.05) and elderly patients aged over 60 years (all P 0.001), and the envelope width ratios between them increased with increased BP and aging.This study has concluded an asymmetrical oscillometric waveform envelope in normotensive and hypertensive categories, as well as in elderly group (aged over 60 years), and their asymmetrical features were significantly more obvious with increased BP and aging.

Published
2021

45. Multi‐objective‐constraint optimal model for wind‐hydro‐thermal power joint scheduling based on symbiotic organisms search algorithm

Author

Peiyu He, Min Cao, Li Peng, Kaicheng Zhang, Wenping Ren, and Dong Jikai

Subjects
Constraint (information theory), Mathematical optimization, Search algorithm, Computer science, Modeling and Simulation, Scheduling (production processes), Energy Engineering and Power Technology, Thermal power station, Electrical and Electronic Engineering, Joint (geology)
Published
2021
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47. Health status after invasive or conservative care in coronary and advanced kidney disease

Author

Spertus J. A., Jones P. G., Maron D. J., Mark D. B., O'Brien S. M., Fleg J. L., Reynolds H. R., Stone G. W., Sidhu M. S., Chaitman B. R., Chertow G. M., Hochman J. S., Bangalore S, ISCHEMIA-CKD Research Group: Abdallah M Abdallah, Abel E Moreyra, Abhay A Laddu, Abhishek Dubey, Abhishek Goyal, Abigail Knighton, Adedayo Adeboye, Agne Juceviciene, Agne Urboniene, Agnieszka Szramowska, Ahmed Abdel-Latif, Ahmed Ayoub, Ahmed Elghamaz, Ahmed Kamal, Ahmed Talaat, Ajay Sharma, Ajit Singh Narula, Akshay Bagai, Akvile Smigelskaite, Alain Raymond, Alain Rheault, Alaine Melanie Loehr, Albert Varga, Aldo P Maggioni, Alec Moorman, Alejandro Chevaile Ramos, Alejandro Gisbert, Aleksandra Fratczak, Aleksandras Laucevicius, Alexander M Chernyavskiy, Alexander Sergeevich Borisov, Alexandra Craft, Alexandra Hunter, Alexandre Ciappina Hueb, Alexandre Schaan de Quadros, Alice Manica Muller, Aline Peixoto Deiro, Allegra Stone, Almudena Castro, Amar Uxa, Amaryllis Van Craenenbroeck, Ambuj Roy, Amit Kakkar, Amy Flowers, Amy Iskandrian, Ana D Djordjevic-Dikic, Ana Gomes Almeida, Ana Rita Francisco, Ana S Mladenovic, Ana Santana, Anandaroop Lahiri, Anastasia M Kuzmina-Krutetskaya, Anastasia Vamvakidou, Andras Vertes, Andre Gabriel, Andrea Bartykowszki, Andrea Lorimer, Andrea Pascual, Andreia Coelho, Andreia Rocha, Andrés García-Rincón, Andrew Starovoytov, Andrzej Łabyk, Anelise Kawakami, Angela Hoye, Angelo Nobre, Anjali Acharya, Anjali Anand, Anjana Rishmawi, Ann Banfield, Ann Luyten, Anna Cichocka-Radwan, Anna Fojt, Anna Plachcinska, Anna Teresinska, Anne Marie Webb, Anne Heath, Anoop Mathew, Antonia Vega, Antonio Carvalho, Antonio Colombo, Antonio Fiarresga, Anu Tharini, Anupama Rao, Aquiles Valdespino-Estrada, Ariel Diaz, Arif Asif, Arnold H Seto, Arturo S Campos-Santaolalla, Asim N Cheema, Asker Ahmed, Atul Mathur, Audrey W Leong, Axel Åkerblom, Axelle Fuentes, Aynun Naher, Badhma Valaiyapathi, Balaji Srinivasan, Baljeet Kaur, Balram Bhargava, Bandula Guruge, Barbara Wicklund, Bartosz Czarniak, Bebek Singh, Begoña Igual, Bela Merkely, Benoy N Shah, Bernard de Bruyne, Beth Abramson, Beth Stefanchik, Bethany Harvey, Bharati Shivalkar, Bilal Malik, Binoy Mannekkattukudy Kurian, Bougrida Hammouche, Branko D Beleslin, Bruce Ferguson, Bruce McManus, Bruna Maria Ascoli, Bryn Smith, Byron J Allen, C Michael Gibson, C Noel Bairey Merz, Calin Pop, Carl-Éric Gagné, Carly Ohmart, Carol M Kartje, Caroline Alsweiler, Caroline Rodgers, Caroline Spindler, Carolyn J Gruber, Catherine Albert, Catherine Bone, Catherine Lemay, Cezary Kepka, Chandini Suvarna, Chantale Mercure, Charlene Wiyarand, Chetan Patel, Chiara Attanasio, Chi-Ming Chow, Ching Min Er, Ching-Ching Ong, Cholenahally Nanjappa Manjunath, Chris Buller, Christel Vassaliere, Christiaan Vrints, Christian Witzke, Christie Ballantyne, Christina Björklund, Christine Roraff, Christophe Laure, Christophe Thuaire, Christopher Chan, Christopher Fordyce, Christopher Kinsey, Chunli Xia, Cidney Schultz, Claes Held, Claudia Cortés, Claudia Escobar, Cláudia Freixo, Clemens T Kadalie, Corine Thobois, Courtney Page, Cristina Bare, Dalisa Espinosa, Dan Gao, Dana Rizk, Daniela Puzhevsky, Data Analyst, David M Charytan, David O Williams, David Booth, David Charytan, David Cohen, David DeMets, David Foo, David Goldfarb, David Schlichting, David Sisson, David Taggart, David Waters, David Wheeler, David Williams, Davis Vo, Dawid Teodorczyk, Dawn D Shelstad, Dean Kereiakes, Deborah Yip, Deepa Ramaswamy, Deirdre Mattina, Deirdre Murphy, Dengke Jiang, Derek Cyr, Diana Cukali, Diane Camara, Dimitrios Stournaras, Dipti Patel, Dongze Li, Donna Exley, Doreen Reimann, Doron Schwartz, Duarte Cacela, Dwayne S G Conway, Eapen Punnoose, Edgar L Tay, Edgar Karanjah, Eduardo Gomes Lima, Eduardo Hernandez-Rangel, Edward D Nicol, Edyta Kaczmarska, Elena Refoyo Salicio, Eli Feen, Elihú Durán-Cortés, Elisabeth M Janzen, Elise van Dongen, Elissa Restelli Piloto, Elizabeta Srbinovska Kostovska, Elizabeth Capasso-Gulve, Elizaveta V Zbyshevskaya, Ellie Fridell, Ellis W Lader, Elvira Gosmanova, Emilie Tachot, Emma Howard, Emmanuel Sorbets, Encarnación Alonso-Álvarez, Eric Daugas, Erick Alexánderson Rosas, Estelle Montpetit, Eugene Passamani, Evgeny Shutov, Ewa Szczerba, Ewelina Wojtala, Expedito Eustáquio Ribeiro Silva, Fabio Fimiani, Fadi Hage, Fahim Haider Jafary, Fang Feng, Fatima Ranjbaran, Fausto J Pinto, Fernando Caeiro, Fernando Nolasco, Filipa Silva, Filippo Ottani, Firas Al Solaiman, Flávia Egydio, Florina Chereches, Francesca De Micco, Francesca Bianchini, Francesca Pietrucci, Francesco Orso, Francesco Pisano, Francisca Patuleia Figueiras, François Madore, Frank Harrell, Frank Rockhold, Frans Van de Werf, Franziska Guenther, Fred Mohr, G Karthikeyan, Gabriel Galeote, Gabriel Grossmann, Gabriel Steg, Gabriela Guzman, Gabriele Gabrielli, Gang Chen, Gautam Sharma, Gaylin Petty, Gelmina Mikolaitiene, Gennie Yee, Gerard Patrick Devlin, Gerard Esposito, Gergely Ágoston, Gervasio Lamas, Gia Cobb, Gian Piero Perna, Gianpiero Leone, Girish Mishra, Gonzalo Barge-Caballero, Grace M Young, Graciela Scaro, Graham Wong, Gregg Pressman, Gregor Simonis, Gudrun Steinmaurer, Guilherme Portugal, Guilhermina Cantinho Lopes, Guillermo Garcia-Garcia, Guoqin Wang, Gurpreet S Wander, Gurpreet Gulati, Haibo Zhang, Halina Marciniak, Hao Dai, Haojian Dong, Harold Franch, Harvey White, Hatem Elabd, Hayley Pomeroy, Heather Golden, Heidi Wilson, Helene Abergel, Hemalata Siddaram, Hemant Shakhar Mahapatra, Henry C Stokes, Hermine Osseni, Herwig Schuchlenz, Hicham Skali, Holly Mattix-Kramer, Hong Cheng, Hossam Mahrous, Hristo Pejkov, Hugo Marques, Hui Zhong, Hussien El Fishawy, Ian Webb, Iftikhar Kullo, Igor O Grazhdankin, Ikraam Hassan, Ileana L Pina, Ilona Tamasauskiene, Inês Zimbarra Cabrita, Ines Rodrigues, Inga Soveri, Irena Peovska Mitevska, Irene Marthe Lang, Irina Subbotina, Irma Kalibataite-Rutkauskiene, Isabelle Roy, Ishita Tejani, Ivan A Naryshkin, Ivana Jankovic, Iwona Niedzwiecka, Jacek Kusmierek, Jackie Chow, Jaekyeong Heo, Jakub Maksym, James E Davies, James J Jang, James Hirsch, James Tatoulis, Jan Henzel, Janaina Oliveira, Janani Rangaswami, Jane Eckstein, Janitha Raj, Jaqueline Pozzibon, Jaroslaw Drozdz, Jason Loh Kwok Kong, Jason T Call, Jason Linefsky, Javier J Garcia, Jay Meisner, Jayne Scales, Jean Michel Juliard, Jean Diodati, Jean-Michel Juliard, Jeanne Russo, Jeannette J M Schoep, Jeff Leimberger, Jeffrey C Milliken, Jeffrey Anderson, Jeffrey Kanters, Jeffrey Lorin, Jeffrey Moses, Jelena J Stepanovic, Jelena Celutkiene, Jelena Stojkovic, Jenne M Jose, Jennifer L Stanford, Jennifer Hogan, Jennifer Horst, Jennifer Isaacs, Jennifer Thomson, Jennifer Tomfohr, Jennifer White, Jerry Yee, Jessica Berg, Jesus Peteiro, Jesús Peteiro, Jia Li, Jiamin Liu, Jianxin Zhang, Jill Marcus, Jim Blankenship, Jing Dong, Jiyan Chen, Jo Evans, Joaquín V Peñafiel, Joe Sabik, Johann Christopher, John B Kostis, John Joseph Graham, John Doan, John Jose, John Kotter, John Lehman, John Middleton, John Pownall, Jonathan M Gleadle, Jonathan S Chavez-Iñiguez, Jonathan Byrne, Jonathan Himmelfarb, Jonathan Lebowitz, Jonean Thorsen, Jorge Carrillo Calvillo, Jorge Escobedo, José A Ortega-Ramírez, José J Cuenca-Castillo, Jose L Diez, José Luis Narro Villanueva, José Luiz da Costa Vieira, José M Flores-Palacios, Jose Fragata, Jose Lopes, Jose Lopez-Sendon, José Lopez-Sendon, Jose Rueda, Joseph B Selvanayagam, Joseph Sacco, Joshua P Loh, Joy Burkhardt, Juan Manuel López Quijano, Juan Gaztanaga, Judit Sebo, Judith Wright, Juergen Stumpf, Julia de Aveiro Morata, Julio César Figal, Julio Hernandez Jaras, Junqing Yang, Jyotsna Garg, K Manjula Rani, K Preethi, Kaatje Goetschalckx, Karen Calfas, Karen Petrosyan, Karen Servilla, Karen Swan, Karin Ploetze, Karolina Kryczka, Karolina Wojtczak-Soska, Karolina Wojtera, Karthik Ramasamy, Katarzyna Łuczak, Katarzyna Malinowska, Katharina Knaut, Katherine Martin, Kathleen Claes, Kathryn Mason, Ken Mahaffey, Kenneth Gin, Kerry Lee, Kerstin Bonin, Kerstin Mikes, Kevin R Bainey, Kevin T Harley, Kevin Marzo, Kevin McMahon, Khaled Abdul-Nour, Khaled Alfakih, Khaled Dajani, Khrystyna Kushniriuk, Kian-Keong Poh, Kim Holland, Kimberly E Halverson, Kinnari Murphy, Kiran Reddy, Kirsten J Quiles, Kirsty Abercrombie, Klaus Matschke, Konrad Szymczyk, Koo Hui Chan, Kreton Mavromatis, Krishnakumar Hongalgi, Kristian Thygesen, Kristin M Salmi, Kristin Newby, Kristine Arges, Kristine Teoh, Krzysztof Drzymalski, Lalathaksha Kumbar, Laszlone Matics, LaTonya J Hickson, Laura Keinaite, Laura Sarti, Laura True, Lawrence M Phillips, Lawrence Friedman, Leandro C Maranan, Leda Lotaif, Lekshmi Dharmarajan, Leo A Bockeria, Leonardo Pizzol Caetano, Leonardo Bridi, Leonid L Bershtein, Li Hai Yan, Li Li, Lidia Sousa, Lihong Xu, Lihua Zhang, Lili Zhang, Lilian Mazza Barbosa, Liljana Tozija, Linda Arcand, Lino Patricio, Liping Zhang, Lisa Hatch, Lixin Jiang, Liz Low, Loay Salman, Lorena Lopez, Lori Pritchard, Luis Bernanrdes, Luis Guzman, Lynette L Teo, M Sowjanya Reddy, Maarten Simoons, Maayan Konigstein, Mafalda Selas, Magdalena Madero, Magdalena Miller, Magdalena Misztal-Teodorczyk, Magdy Abdelhamid, Magid Fahim, Mahevamma Mylarappa, Majo X Joseph, Malgorzata Frach, Manjula Rani, Marcello Galvani, Marcin Demkow, Marcin Szkopiak, Marco De Fabritis, Marco Magnoni, Marco Marini, Marco Sicuro, Marek Roik, Maria A Alfonso, Maria Antonieta Pereira de Moraes, María Dolores Martínez-Ruíz, Maria Eugenia Canziani, Maria Eugenia Martin, Maria Inês Caetano, Maria P Corral, Maria Pérez García, Maria Andreasson, Maria Posada, Marianna D A Dracoulakis, Mariano Rubio, Marija T Petrovic, Marina Vieira, Mario J Garcia, Mario D'arezzo, Maris Orgera, Marius Miglinas, Mark Garand, Mark Peterson, Mark Xavier, Marlowe Mosley, Marta Capinha, Marta Swiderek, Martha Meyer, Martina Ceseri, Martinia Tricoli, Mary Wiilliams, Mary Ann Champagne, Mary Streif, Massoud Leesar, Matei Claudia, Mateusz Solecki, Matías Nicolás Mungo, Matthew Shinseki, Matthew Weir, Maura Carina Nédio, Max-Paul Winter, Mayil S Krishnam, Meenakshi Mishra, Mei Hwang, Melemadathil Srilatha, Melissa LeFevre, Mengistu Simegn, Michael A Gibson, Michael B Rubens, Michael D Shapiro, Michael Chobanian, Michael Davidson, Michael Farkouh, Michael Mack, Michal Wlodarczyk, Michel G Khouri, Michelle Crowder, Michelle Ratliff, Miguel Borges Santos, Miguel Nobre Menezes, Miguel Perez Fontan, Miguel Barrero, Mihaly Tapolyai, Mikhail T Torosoff, Milan R Dobric, Milind Avdhoot Gadkari, Min Tun Kyaw, Miri Revivo, Mitchel B Lustre, Mohamed Adel, Mohamed Hassan, Mohammad El-Hajjar, Mohammed Hussain, Mohammed Saleem, Moisés Blanco-Calvo, Moisés Jiménez-Santos, Monika Laukyte, Muhamed Saric, Myrthes Emy Takiuti, Nadia Asif, Nagaraja Moorthy, Naima L Ogletree, Nana O Katamadze, Nandita Nataraj, Naomi Uchida, Nasrul Ismail, Natalia S Oliveira, Natalia de Carvalho Maffei, Nathalie Brosens, Naved Aslam, Naveed Akhtar, Neamat Mowafy, Neeraj Pandit, Neeraj Parakh, Neesh Pannu, Neill Duncan, Nevena Garcevic, Ngaire Meadows, Nicholas Danchin, Nicole Deming, Nikola N Boskovic, Nikolaos Karogiannis, Ning Zhang, Nirmal Kumar, Niruta Sharma, Nitika Chadha, Nitish Naik, Noelle M Durfee, Nora M Cosgrove, Norbert Urbanski, Norma Hogg, Olga Walesiak, Olga Zdończyk, Olga Zhdanova, Olivia Anaya, Olugbenga Bello, Omar Almousalli, Omar Thompson, Orit Kliuk, Oscar Méndiz, Óscar Prada-Delgado, Oz Shapira, Pablo Raffaele, Page Salanger, Pal Maurovich-Horvat, Pallav Garg, Paloma Moraga, Pam Singh, Pamela Ouyang, Pamela Woodard, Paola Emanuela Poggio Smanio, Paola Smanio, Paolo Calabro, Patricia K Nguyen, Patricia Alarie, Patricia Carrilho, Patricia Endsley, Patricia Pellikka, Patrycja Lebioda, Paul Der Mesropian, Paul Hauptman, Paula García-González, Paula Wilson, Paulo Cury Rezende, Paulo Novis Rocha, Pedro Canas Silva, Pedro Farto E Abreu, Pedro Píccaro de Oliveira, Pedro Carvalho, Pedro Modas, Pedro Rio, Peiyu He, Peter A McCullough, Peter H Stone, Peter Douglass, Peter Sizeland, Peter Voros, Philippe Gabriel Steg, Philippe Genereux, Philippe Généreux, Philippe Menasche, Philippe Rheault, Piero Tassinario, Pierre Gervais, Pilar Calvillo, Ping Chai, Piotr Jakubowski, Piotr Pruszczyk, Poay-Huan Loh, Pouneh Samadi, Prakash Deedwania, Pranav M Patel, Praneeth Polamuri, Pratiksha Sharma, Preeti Kamath, Prince Thomas, Priyadarshani Arambam, Puneet Sodhi, Pushpa Naik, Qi Zhong, Qian Zhao, Qianqian Yuan, Qiulan Xie, Rachel Murphy, Radmila Lyubarova, Radmilar Lyubarova, Raewyn Fisher, Rafael Diaz, Rafael Maldonado, Rafael Selgas, Raffaele Bugiardini, Rafia Chaudhry, Raisa Kavalakkat, Rajalekshmi Vs, Rajesh Gopalan Nair, Rajiv Narang, Rakesh Yadav, Ramiro Carvalho, Ramon de Jesús-Pérez, Ran Leng, Ranjan Kachru, Raquel Sanchez, Raven R Dwyer, Raven Lee, Ray Wyman, Raymond C Wong, Reinette Hampson, Renato Abdala Karam Kalil, Renato D Lopes, Renato George Eick, Renato Lopes, Reshma Ravindran, Reto Andreas Gamma, Ricardo Costa, Richa Bhatt, Richard H J Trimlett, Risha Patel, Rita Coram, Robert K Riezebos, Robert M Donnino, Robert Guyton, Robert Harrington, Robert Malecki, Roberto René Favaloro, Robyn Elliott, Rodolfo G S D Lima, Rohit Tandon, Rolf Doerr, Roma Tewari, Ron Wald, Rongrong Hu, Rory Collins, Roxana Mehran, Roxy Senior, Rubén Baleón-Espinosa, Ruben Ramos, Rui Ferreira, Ruth Kirby, Ruth Pérez-Fernández, S Ramakrishnan, S K Dwivedi, Sadath Lubna, Sadiq Ahmed, Sajeev Chakanalil Govindan, Salamah Alfalahi, Salvador Cruz-Flores, Salvatore P Costa, Sampoornima Setty, Samuel Nwosu, Sandeep Mahajan, Sandeep Seth, Sandeep Singh, Sander R Niehe, Sandy Carr, Sanja Simic Ogrizovic, Sanja Ogrizovic, Sanjeev Gulati, Sanjeev Sharma, Sara Fernandez, Sarah Williams, Sarju Ralhan, Sasko Kedev, Satinder Singh, Satish Sankaranarayanan, Satvic Cholenahally Manjunath, Sau Lee, Schawana Thaxton, Sean M O'Brien, Sebastian Sobczak, Seema Nour, Sergey A Sayganov, Sérgio Bravo Baptista, Sergio Draibe, Seth Sokol, Sharad Chandra, Shari Mackedanz, Shaun Goodman, Shayan Shirazian, Sheetal Rupesh Karwa, Sheri Ussery, Sheromani Bajaj, Shirin Heydari, Shiv Kumar Choudhary, Shivali Patel, Shruti Pandey, Shuyang Zhang, 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H.R., Stone G.W., Sidhu M.S., Chaitman B.R., Chertow G.M., Hochman J.S., Bangalore S, and ISCHEMIA-CKD Research Group: Abdallah M Abdallah, Abel E Moreyra, Abhay A Laddu, Abhishek Dubey, Abhishek Goyal, Abigail Knighton, Adedayo Adeboye, Agne Juceviciene, Agne Urboniene, Agnieszka Szramowska, Ahmed Abdel-Latif, Ahmed Ayoub, Ahmed Elghamaz, Ahmed Kamal, Ahmed Talaat, Ajay Sharma, Ajit Singh Narula, Akshay Bagai, Akvile Smigelskaite, Alain Raymond, Alain Rheault, Alaine Melanie Loehr, Albert Varga, Aldo P Maggioni, Alec Moorman, Alejandro Chevaile Ramos, Alejandro Gisbert, Aleksandra Fratczak, Aleksandras Laucevicius, Alexander M Chernyavskiy, Alexander Sergeevich Borisov, Alexandra Craft, Alexandra Hunter, Alexandre Ciappina Hueb, Alexandre Schaan de Quadros, Alice Manica Muller, Aline Peixoto Deiro, Allegra Stone, Almudena Castro, Amar Uxa, Amaryllis Van Craenenbroeck, Ambuj Roy, Amit Kakkar, Amy Flowers, Amy Iskandrian, Ana D Djordjevic-Dikic, Ana Gomes Almeida, Ana Rita Francisco, 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Bare, Dalisa Espinosa, Dan Gao, Dana Rizk, Daniela Puzhevsky, Data Analyst, David M Charytan, David O Williams, David Booth, David Charytan, David Cohen, David DeMets, David Foo, David Goldfarb, David Schlichting, David Sisson, David Taggart, David Waters, David Wheeler, David Williams, Davis Vo, Dawid Teodorczyk, Dawn D Shelstad, Dean Kereiakes, Deborah Yip, Deepa Ramaswamy, Deirdre Mattina, Deirdre Murphy, Dengke Jiang, Derek Cyr, Diana Cukali, Diane Camara, Dimitrios Stournaras, Dipti Patel, Dongze Li, Donna Exley, Doreen Reimann, Doron Schwartz, Duarte Cacela, Dwayne S G Conway, Eapen Punnoose, Edgar L Tay, Edgar Karanjah, Eduardo Gomes Lima, Eduardo Hernandez-Rangel, Edward D Nicol, Edyta Kaczmarska, Elena Refoyo Salicio, Eli Feen, Elihú Durán-Cortés, Elisabeth M Janzen, Elise van Dongen, Elissa Restelli Piloto, Elizabeta Srbinovska Kostovska, Elizabeth Capasso-Gulve, Elizaveta V Zbyshevskaya, Ellie Fridell, Ellis W Lader, Elvira Gosmanova, Emilie Tachot, Emma Howard, Emmanuel Sorbets, Encarnación Alonso-Álvarez, Eric Daugas, Erick Alexánderson Rosas, Estelle Montpetit, Eugene Passamani, Evgeny Shutov, Ewa Szczerba, Ewelina Wojtala, Expedito Eustáquio Ribeiro Silva, Fabio Fimiani, Fadi Hage, Fahim Haider Jafary, Fang Feng, Fatima Ranjbaran, Fausto J Pinto, Fernando Caeiro, Fernando Nolasco, Filipa Silva, Filippo Ottani, Firas Al Solaiman, Flávia Egydio, Florina Chereches, Francesca De Micco, Francesca Bianchini, Francesca Pietrucci, Francesco Orso, Francesco Pisano, Francisca Patuleia Figueiras, François Madore, Frank Harrell, Frank Rockhold, Frans Van de Werf, Franziska Guenther, Fred Mohr, G Karthikeyan, Gabriel Galeote, Gabriel Grossmann, Gabriel Steg, Gabriela Guzman, Gabriele Gabrielli, Gang Chen, Gautam Sharma, Gaylin Petty, Gelmina Mikolaitiene, Gennie Yee, Gerard Patrick Devlin, Gerard Esposito, Gergely Ágoston, Gervasio Lamas, Gia Cobb, Gian Piero Perna, Gianpiero Leone, Girish Mishra, Gonzalo Barge-Caballero, Grace M Young, Graciela Scaro, Graham Wong, Gregg Pressman, Gregor Simonis, Gudrun Steinmaurer, Guilherme Portugal, Guilhermina Cantinho Lopes, Guillermo Garcia-Garcia, Guoqin Wang, Gurpreet S Wander, Gurpreet Gulati, Haibo Zhang, Halina Marciniak, Hao Dai, Haojian Dong, Harold Franch, Harvey White, Hatem Elabd, Hayley Pomeroy, Heather Golden, Heidi Wilson, Helene Abergel, Hemalata Siddaram, Hemant Shakhar Mahapatra, Henry C Stokes, Hermine Osseni, Herwig Schuchlenz, Hicham Skali, Holly Mattix-Kramer, Hong Cheng, Hossam Mahrous, Hristo Pejkov, Hugo Marques, Hui Zhong, Hussien El Fishawy, Ian Webb, Iftikhar Kullo, Igor O Grazhdankin, Ikraam Hassan, Ileana L Pina, Ilona Tamasauskiene, Inês Zimbarra Cabrita, Ines Rodrigues, Inga Soveri, Irena Peovska Mitevska, Irene Marthe Lang, Irina Subbotina, Irma Kalibataite-Rutkauskiene, Isabelle Roy, Ishita Tejani, Ivan A Naryshkin, Ivana Jankovic, Iwona Niedzwiecka, Jacek Kusmierek, Jackie Chow, Jaekyeong Heo, Jakub Maksym, James E Davies, James J Jang, James Hirsch, James Tatoulis, Jan Henzel, Janaina Oliveira, Janani Rangaswami, Jane Eckstein, Janitha Raj, Jaqueline Pozzibon, Jaroslaw Drozdz, Jason Loh Kwok Kong, Jason T Call, Jason Linefsky, Javier J Garcia, Jay Meisner, Jayne Scales, Jean Michel Juliard, Jean Diodati, Jean-Michel Juliard, Jeanne Russo, Jeannette J M Schoep, Jeff Leimberger, Jeffrey C Milliken, Jeffrey Anderson, Jeffrey Kanters, Jeffrey Lorin, Jeffrey Moses, Jelena J Stepanovic, Jelena Celutkiene, Jelena Stojkovic, Jenne M Jose, Jennifer L Stanford, Jennifer Hogan, Jennifer Horst, Jennifer Isaacs, Jennifer Thomson, Jennifer Tomfohr, Jennifer White, Jerry Yee, Jessica Berg, Jesus Peteiro, Jesús Peteiro, Jia Li, Jiamin Liu, Jianxin Zhang, Jill Marcus, Jim Blankenship, Jing Dong, Jiyan Chen, Jo Evans, Joaquín V Peñafiel, Joe Sabik, Johann Christopher, John B Kostis, John Joseph Graham, John Doan, John Jose, John Kotter, John Lehman, John Middleton, John Pownall, Jonathan M Gleadle, Jonathan S Chavez-Iñiguez, Jonathan Byrne, Jonathan Himmelfarb, Jonathan Lebowitz, Jonean Thorsen, Jorge Carrillo Calvillo, Jorge Escobedo, José A Ortega-Ramírez, José J Cuenca-Castillo, Jose L Diez, José Luis Narro Villanueva, José Luiz da Costa Vieira, José M Flores-Palacios, Jose Fragata, Jose Lopes, Jose Lopez-Sendon, José Lopez-Sendon, Jose Rueda, Joseph B Selvanayagam, Joseph Sacco, Joshua P Loh, Joy Burkhardt, Juan Manuel López Quijano, Juan Gaztanaga, Judit Sebo, Judith Wright, Juergen Stumpf, Julia de Aveiro Morata, Julio César Figal, Julio Hernandez Jaras, Junqing Yang, Jyotsna Garg, K Manjula Rani, K Preethi, Kaatje Goetschalckx, Karen Calfas, Karen Petrosyan, Karen Servilla, Karen Swan, Karin Ploetze, Karolina Kryczka, Karolina Wojtczak-Soska, Karolina Wojtera, Karthik Ramasamy, Katarzyna Łuczak, Katarzyna Malinowska, Katharina Knaut, Katherine Martin, Kathleen Claes, Kathryn Mason, Ken Mahaffey, Kenneth Gin, Kerry Lee, Kerstin Bonin, Kerstin Mikes, Kevin R Bainey, Kevin T Harley, Kevin Marzo, Kevin McMahon, Khaled Abdul-Nour, Khaled Alfakih, Khaled Dajani, Khrystyna Kushniriuk, Kian-Keong Poh, Kim Holland, Kimberly E Halverson, Kinnari Murphy, Kiran Reddy, Kirsten J Quiles, Kirsty Abercrombie, Klaus Matschke, Konrad Szymczyk, Koo Hui Chan, Kreton Mavromatis, Krishnakumar Hongalgi, Kristian Thygesen, Kristin M Salmi, Kristin Newby, Kristine Arges, Kristine Teoh, Krzysztof Drzymalski, Lalathaksha Kumbar, Laszlone Matics, LaTonya J Hickson, Laura Keinaite, Laura Sarti, Laura True, Lawrence M Phillips, Lawrence Friedman, Leandro C Maranan, Leda Lotaif, Lekshmi Dharmarajan, Leo A Bockeria, Leonardo Pizzol Caetano, Leonardo Bridi, Leonid L Bershtein, Li Hai Yan, Li Li, Lidia Sousa, Lihong Xu, Lihua Zhang, Lili Zhang, Lilian Mazza Barbosa, Liljana Tozija, Linda Arcand, Lino Patricio, Liping Zhang, Lisa Hatch, Lixin Jiang, Liz Low, Loay Salman, Lorena Lopez, Lori Pritchard, Luis Bernanrdes, Luis Guzman, Lynette L Teo, M Sowjanya Reddy, Maarten Simoons, Maayan Konigstein, Mafalda Selas, Magdalena Madero, Magdalena Miller, Magdalena Misztal-Teodorczyk, Magdy Abdelhamid, Magid Fahim, Mahevamma Mylarappa, Majo X Joseph, Malgorzata Frach, Manjula Rani, Marcello Galvani, Marcin Demkow, Marcin Szkopiak, Marco De Fabritis, Marco Magnoni, Marco Marini, Marco Sicuro, Marek Roik, Maria A Alfonso, Maria Antonieta Pereira de Moraes, María Dolores Martínez-Ruíz, Maria Eugenia Canziani, Maria Eugenia Martin, Maria Inês Caetano, Maria P Corral, Maria Pérez García, Maria Andreasson, Maria Posada, Marianna D A Dracoulakis, Mariano Rubio, Marija T Petrovic, Marina Vieira, Mario J Garcia, Mario D'arezzo, Maris Orgera, Marius Miglinas, Mark Garand, Mark Peterson, Mark Xavier, Marlowe Mosley, Marta Capinha, Marta Swiderek, Martha Meyer, Martina Ceseri, Martinia Tricoli, Mary Wiilliams, Mary Ann Champagne, Mary Streif, Massoud Leesar, Matei Claudia, Mateusz Solecki, Matías Nicolás Mungo, Matthew Shinseki, Matthew Weir, Maura Carina Nédio, Max-Paul Winter, Mayil S Krishnam, Meenakshi Mishra, Mei Hwang, Melemadathil Srilatha, Melissa LeFevre, Mengistu Simegn, Michael A Gibson, Michael B Rubens, Michael D Shapiro, Michael Chobanian, Michael Davidson, Michael Farkouh, Michael Mack, Michal Wlodarczyk, Michel G Khouri, Michelle Crowder, Michelle Ratliff, Miguel Borges Santos, Miguel Nobre Menezes, Miguel Perez Fontan, Miguel Barrero, Mihaly Tapolyai, Mikhail T Torosoff, Milan R Dobric, Milind Avdhoot Gadkari, Min Tun Kyaw, Miri Revivo, Mitchel B Lustre, Mohamed Adel, Mohamed Hassan, Mohammad El-Hajjar, Mohammed Hussain, Mohammed Saleem, Moisés Blanco-Calvo, Moisés Jiménez-Santos, Monika Laukyte, Muhamed Saric, Myrthes Emy Takiuti, Nadia Asif, Nagaraja Moorthy, Naima L Ogletree, Nana O Katamadze, Nandita Nataraj, Naomi Uchida, Nasrul Ismail, Natalia S Oliveira, Natalia de Carvalho Maffei, Nathalie Brosens, Naved Aslam, Naveed Akhtar, Neamat Mowafy, Neeraj Pandit, Neeraj Parakh, Neesh Pannu, Neill Duncan, Nevena Garcevic, Ngaire Meadows, Nicholas Danchin, Nicole Deming, Nikola N Boskovic, Nikolaos Karogiannis, Ning Zhang, Nirmal Kumar, Niruta Sharma, Nitika Chadha, Nitish Naik, Noelle M Durfee, Nora M Cosgrove, Norbert Urbanski, Norma Hogg, Olga Walesiak, Olga Zdończyk, Olga Zhdanova, Olivia Anaya, Olugbenga Bello, Omar Almousalli, Omar Thompson, Orit Kliuk, Oscar Méndiz, Óscar Prada-Delgado, Oz Shapira, Pablo Raffaele, Page Salanger, Pal Maurovich-Horvat, Pallav Garg, Paloma Moraga, Pam Singh, Pamela Ouyang, Pamela Woodard, Paola Emanuela Poggio Smanio, Paola Smanio, Paolo Calabro, Patricia K Nguyen, Patricia Alarie, Patricia Carrilho, Patricia Endsley, Patricia Pellikka, Patrycja Lebioda, Paul Der Mesropian, Paul Hauptman, Paula García-González, Paula Wilson, Paulo Cury Rezende, Paulo Novis Rocha, Pedro Canas Silva, Pedro Farto E Abreu, Pedro Píccaro de Oliveira, Pedro Carvalho, Pedro Modas, Pedro Rio, Peiyu He, Peter A McCullough, Peter H Stone, Peter Douglass, Peter Sizeland, Peter Voros, Philippe Gabriel Steg, Philippe Genereux, Philippe Généreux, Philippe Menasche, Philippe Rheault, Piero Tassinario, Pierre Gervais, Pilar Calvillo, Ping Chai, Piotr Jakubowski, Piotr Pruszczyk, Poay-Huan Loh, Pouneh Samadi, Prakash Deedwania, Pranav M Patel, Praneeth Polamuri, Pratiksha Sharma, Preeti Kamath, Prince Thomas, Priyadarshani Arambam, Puneet Sodhi, Pushpa Naik, Qi Zhong, Qian Zhao, Qianqian Yuan, Qiulan Xie, Rachel Murphy, Radmila Lyubarova, Radmilar Lyubarova, Raewyn Fisher, Rafael Diaz, Rafael Maldonado, Rafael Selgas, Raffaele Bugiardini, Rafia Chaudhry, Raisa Kavalakkat, Rajalekshmi Vs, Rajesh Gopalan Nair, Rajiv Narang, Rakesh Yadav, Ramiro Carvalho, Ramon de Jesús-Pérez, Ran Leng, Ranjan Kachru, Raquel Sanchez, Raven R Dwyer, Raven Lee, Ray Wyman, Raymond C Wong, Reinette Hampson, Renato Abdala Karam Kalil, Renato D Lopes, Renato George Eick, Renato Lopes, Reshma Ravindran, Reto Andreas Gamma, Ricardo Costa, Richa Bhatt, Richard H J Trimlett, Risha Patel, Rita Coram, Robert K Riezebos, Robert M Donnino, Robert Guyton, Robert Harrington, Robert Malecki, Roberto René Favaloro, Robyn Elliott, Rodolfo G S D Lima, Rohit Tandon, Rolf Doerr, Roma Tewari, Ron Wald, Rongrong Hu, Rory Collins, Roxana Mehran, Roxy Senior, Rubén Baleón-Espinosa, Ruben Ramos, Rui Ferreira, Ruth Kirby, Ruth Pérez-Fernández, S Ramakrishnan, S K Dwivedi, Sadath Lubna, Sadiq Ahmed, Sajeev Chakanalil Govindan, Salamah Alfalahi, Salvador Cruz-Flores, Salvatore P Costa, Sampoornima Setty, Samuel Nwosu, Sandeep Mahajan, Sandeep Seth, Sandeep Singh, Sander R Niehe, Sandy Carr, Sanja Simic Ogrizovic, Sanja Ogrizovic, Sanjeev Gulati, Sanjeev Sharma, Sara Fernandez, Sarah Williams, Sarju Ralhan, Sasko Kedev, Satinder Singh, Satish Sankaranarayanan, Satvic Cholenahally Manjunath, Sau Lee, Schawana Thaxton, Sean M O'Brien, Sebastian Sobczak, Seema Nour, Sergey A Sayganov, Sérgio Bravo Baptista, Sergio Draibe, Seth Sokol, Sharad Chandra, Shari Mackedanz, Shaun Goodman, Shayan Shirazian, Sheetal Rupesh Karwa, Sheri Ussery, Sheromani Bajaj, Shirin Heydari, Shiv Kumar Choudhary, Shivali Patel, Shruti Pandey, Shuyang Zhang, Siddharth Gadage, Sik-Yin V Tan, Sílvia Zottis Poletti, Silvia Valbuena, Simone Savaris, Solomon Yakubov, Songlin Zhu, Sonika Gupta, Sorin Brener, Sothinathan Gurunathan, Soundarya Nayak, Sowjanya Reddy, Stanley E Cobos, Stefan Weikl, Stephanie M Lane, Stephanie Ferket, Stephanie Mavromichalis, Stephen Fremes, Steven A Fein, Steven P Sedlis, Steven Giovannone, Steven Weitz, Subhash Banerjee, Sudhanva S Hegde, Suellen Hosino, Sulagna Mookherjee, Suman Singh, Sumith Abeygunasekara, Sundeep Mishra, Sunil Kumar Verma, Suresh Kumar, Suryaprakash Narayanappa, Susan K Milbrandt, Susana Silva, Susanna Stevens, Suvarna Kolhe, Suzana Tavares, Suzanne Welsh, T A Kishore, Tamara Colaiácovo Soares, Tapan Umesh Pillay, Tarek Rashid, Tarun K Mittal, Tauane Bello Duarte, Téodora Dutoiu, Teresa Delgadillo, Terrance Chua, Terrance Welch, Theodoros Kofidis, Thierry Lefevre, Tiago Silva, Timea Boros, Titus Lau, Tiziana Formisano, Tomasz Ciurus, Tomasz Tarchalski, Tracy Tan, Umesh Lingaraj, V K Bahl, V S Narain, Valentina Pellu, Valentine Lobo, Valerie Robesyn, Vandana Yadav, Veerabhadra Gupta, Verghese Mathew, Vicente Miro, Victoria Gumerova, Victoria Hernandez, Vijay Kher, Vijay Kumar, Vikas Makkar, Vikranth Reddy, Viktoria Bulkley, Vinoi George David, Virendra Misra, Virginia Fernández-Figares, Vladimir Ryasniansky, Vojislav L Giga, Wael A Almahmeed, Wan Xian Chan, Wanda C Marfori, Wanda Parker, Wayne Pennachi, Wei Ling Lau, Weibing Xing, Weijing Bian, Wendy L Stewart, Wendy Drewes, Whady Hueb, William Weintraub, Winnie C Sia, Xacobe Flores-Ríos, Xiang Ma, Xiangqiong Gu, Xiaomei Li, Xiaoyi Xu, Xin Fu, Xuemei Li, Xutong Wang, Yanek Pépin-Dubois, Yaron Arbel, Yechen Han, Yiming Lit, Ying Tung Sia, Ying Wang, Yining Yang, Yitong Ma, Yolayfi Peralta, Yves Smets, Yvonne Taul, Zalina Kudzoeva, Zeljko Z Markovic, Zhangsuo Liu, Zhenyu Liu, Zhiming Ye, Zixiang Yu, Zoltan Davidovits, Zvezdana Petronijevic

Subjects
Male, Intention to Treat Analysi, medicine.medical_treatment, Health Status, Myocardial Ischemia, 030204 cardiovascular system & hematology, Coronary Angiography, law.invention, Health Statu, 0302 clinical medicine, Randomized controlled trial, law, Surveys and Questionnaires, Odds Ratio, Surveys and Questionnaire, 030212 general & internal medicine, Myocardial infarction, Coronary Artery Bypass, medicine.diagnostic_test, General Medicine, Middle Aged, Intention to Treat Analysis, Cardiology, Female, Human, medicine.medical_specialty, Revascularization, Follow-Up Studie, 03 medical and health sciences, Percutaneous Coronary Intervention, Internal medicine, medicine, Humans, cardiovascular diseases, Healthy Lifestyle, Renal Insufficiency, Chronic, Proportional Hazards Models, Aged, Intention-to-treat analysis, business.industry, Coronary Artery Bypa, Percutaneous coronary intervention, Odds ratio, medicine.disease, Angiography, Exercise Test, Proportional Hazards Model, business, Kidney disease, Follow-Up Studies
Abstract

BACKGROUND In the ISCHEMIA-CKD trial, the primary analysis showed no significant difference in the risk of death or myocardial infarction with initial angiography and revascularization plus guideline-based medical therapy (invasive strategy) as compared with guideline-based medical therapy alone (conservative strategy) in participants with stable ischemic heart disease, moderate or severe ischemia, and advanced chronic kidney disease (an estimated glomerular filtration rate of

Published
2020

48. Influence of the elastic and elastic-plastic material parameters on the mechanical properties of slewing bearings

Author

Erkuo Guo, Peiyu He, Yun Wang, Hong Liu, and Hua Wang

Subjects
0209 industrial biotechnology, Materials science, business.industry, Mechanical Engineering, lcsh:Mechanical engineering and machinery, 02 engineering and technology, Structural engineering, Elastic plastic material, Slewing bearing, 020303 mechanical engineering & transports, 020901 industrial engineering & automation, 0203 mechanical engineering, Carrying capacity, lcsh:TJ1-1570, business, Reliability (statistics)
Abstract

Slewing bearings are critical components of rotating equipment. Large structure sizes and heavy working load conditions require an extremely high load-bearing capacity and reliability. Overall and local contact finite element models of slewing bearings are verified by the empirical formula and Hertz contact theory. Validated finite element models are used to analyse the influence of the elastic material (E 1) and elastoplastic material parameters (EP 1, EP 2 and EP 3) on the load carrying capacity. The following conclusions are obtained by comparing the maximum contact load, the contact stress, the load distribution and the full-circle deformation. The influence of the material parameters on the slewing bearing is investigated to improve the analysis accuracy of the carrying capacity of the slewing bearings.

Published
2021

49. Optimization Method of Sparse Array Frequency and Steering Invariant Beamforming

Author

Zili Xu, Weichuang Yu, Jing Lei, Xuewei Shi, Ao Cui, and Peiyu He

Subjects
Beamforming, 020301 aerospace & aeronautics, Computer science, 02 engineering and technology, Beamwidth, 030507 speech-language pathology & audiology, 03 medical and health sciences, symbols.namesake, Fourier transform, Compressed sensing, Sparse array, 0203 mechanical engineering, symbols, Invariant (mathematics), 0305 other medical science, Algorithm, Computer Science::Information Theory, Sparse matrix
Abstract

The conventional beamforming optimization method cannot meet the requirements of constant beamwidth of spare array in different frequency and different beam pointing angles. In this paper, a frequency and steering invariant beamforming method based on compressed sensing (CSFSIB) is proposed. First, the array elements are extended virtually, the sparse signal obtained by virtual array is reconstructed by compressed sensing (CS) recovery algorithm. Then the Second-order cone programming (SOCP) method is used to calculate the weighted vector and optimize the steering invariant beamforming (SIB). Finally, frequency invariant beamforming (FIB) is designed based on inverse Fourier transform (IFT). Simulation results indicate that the proposed method can reduce the sidelobe level and save the number of array elements while keeping the mainlobe width constant.

Published
2020
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50. Evaluation of cuff deflation and inflation rates on a deep learning-based automatic blood pressure measurement method: a pilot evaluation study

Author

Qijun Zhao, Dingchang Zheng, Fei Chen, Peiyu He, Ping Sun, Yuhang Xu, and Fan Pan

Subjects
Inflation, media_common.quotation_subject, Blood Pressure, Pilot Projects, 030204 cardiovascular system & hematology, Assessment and Diagnosis, 03 medical and health sciences, 0302 clinical medicine, Deep Learning, Healthy volunteers, Statistics, Internal Medicine, Medicine, Humans, 030212 general & internal medicine, media_common, Advanced and Specialized Nursing, business.industry, Deep learning, Healthy subjects, Blood Pressure Determination, General Medicine, Cuff inflation, Deflation, Healthy Volunteers, Blood pressure, Cuff, Artificial intelligence, Cardiology and Cardiovascular Medicine, business
Abstract

The aim of this study was to evaluate the performance of using a deep learning-based method for measuring SBPs and DBPs and the effects of cuff inflation and deflation rates on the deep learning-based blood pressure (BP) measurement (in comparison with the manual auscultatory method).Forty healthy subjects were recruited. SBP and DBP were measured under four conditions (i.e. standard deflation, fast deflation, slow inflation and fast inflation) using both our newly developed deep learning-based method and the reference manual auscultatory method. The BPs measured under each condition were compared between the two methods. The performance of using the deep learning-based method to measure BP changes was also evaluated.There were no significant BP differences between the two methods (P0.05), except for the DBPs measured during the slow and fast inflation conditions. By applying the deep learning-based method, SBPs measured from fast deflation, slow inflation and fast inflation decreased significantly by 3.0, 3.5 and 4.7 mmHg (all P0.05), respectively, in comparison with the standard deflation condition. Whereas, corresponding DBPs measured from the slow and fast inflation conditions increased significantly by 5.0 and 6.8 mmHg, respectively (both P0.05). There were no significant differences in BP changes measured by the two methods in most cases (all P0.05, except for DBP change in the slow and fast inflation conditions).This study demonstrated that the deep learning-based method can achieve accurate BP measurement under the deflation and inflation conditions with different rates.

Published
2020

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