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4,155 results on '"Reed, D."'

203. Preoperative White Blood Cell Count and Risk of 30-Day Readmission after Cardiac Surgery

Author

Jeremiah R. Brown, R. Clive Landis, Kristine Chaisson, Cathy S. Ross, Lawrence J. Dacey, Richard A. Boss, Robert E. Helm, Susan R. Horton, Patricia Hofmaster, Cheryl Jones, Helen Desaulniers, Benjamin M. Westbrook, Dennis Duquette, Kelly LeBlond, Reed D. Quinn, Patrick C. Magnus, David J. Malenka, and Anthony W. DiScipio

Subjects
Pathology, RB1-214
Abstract

Approximately 1 in 5 patients undergoing cardiac surgery are readmitted within 30 days of discharge. Among the primary causes of readmission are infection and disease states susceptible to the inflammatory cascade, such as diabetes, chronic obstructive pulmonary disease, and gastrointestinal complications. Currently, it is not known if a patient’s baseline inflammatory state measured by crude white blood cell (WBC) counts could predict 30-day readmission. We collected data from 2,176 consecutive patients who underwent cardiac surgery at seven hospitals. Patient readmission data was abstracted from each hospital. The independent association with preoperative WBC count was determined using logistic regression. There were 259 patients readmitted within 30 days, with a median time of readmission of 9 days (IQR 4–16). Patients with elevated WBC count at baseline (10,000–12,000 and >12,000 mm3) had higher 30-day readmission than those with lower levels of WBC count prior to surgery (15% and 18% compared to 10%–12%, P=0.037). Adjusted odds ratios were 1.42 (0.86, 2.34) for WBC counts 10,000–12,000 and 1.81 (1.03, 3.17) for WBC count > 12,000. We conclude that WBC count measured prior to cardiac surgery as a measure of the patient’s inflammatory state could aid clinicians and continuity of care management teams in identifying patients at heightened risk of 30-day readmission after discharge from cardiac surgery.

Published
2013
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204. Design, modeling, and motion control of the noncircular turning process for camshaft machining

Author

Tsao, Tsu-Chin, Sun, Zongxuan, Hanson, Reed D., and Babinski, Alexanda

Subjects
Machining -- Methods, Incremental motion control -- Technology application, Technology application, Engineering and manufacturing industries, Science and technology
Abstract

This paper presents the design, modeling, and motion control of the noncircular turning process for camshaft machining. The cam profile tracking performance requirements are first characterized to meet industry standards. Based on these requirements, a unique test fixture using state-of-the-art actuation and sensing technologies is designed for the noncircular turning process. Modeling of the electrohydraulic servo valve, actuator, and sensors is conducted based on their frequency responses. Digital motion control that achieves asymptotic cam profile tracking while maintaining system robust stability is designed and implemented on the turning test fixture. Spindle speed can be chosen depending on the required profile tracking accuracy with higher speed rendering higher machining rate for rough turning and lower speed rendering higher accuracy for finish turning. Experimental results of turning a variety of cam profiles show that the tracking error is less than 30 [micro]m for spindle speed at 300 rpm and is less than 60 [micro]m for spindle speed at 600 rpm or 1200 rpm.

Published
2008

205. Dams, duties, and discretion: Bureau of Reclamation Water Project Operations and the Endangered Species Act.

Author

Benson, Reed D.

Subjects
Administrative discretion -- Laws, regulations and rules, Endangered species -- Laws, regulations and rules, Water -- Management, Water -- Laws, regulations and rules, Tennessee Valley Authority v. Hill (437 U.S. 153 (1978)), National Ass'n of Home Builders v. Defenders of Wildlife (127 S. Ct. 2518 (2007)), United States. Bureau of Reclamation -- Powers and duties, Government regulation, Endangered Species Act of 1973 (16 U.S.C. 1536(a)), Clean Water Act of 1977
Published
2008

206. Error-state Kalman filter for lower-limb kinematic estimation: Evaluation on a 3-body model

Author

Reed D. Gurchiek, Noel C. Perkins, Michael V Potter, Lauro Ojeda, Ryan S. McGinnis, and Stephen M. Cain

Subjects
Kinematics, Computer science, Physiology, 02 engineering and technology, Walking, 01 natural sciences, Units of measurement, Skeletal Joints, 0202 electrical engineering, electronic engineering, information engineering, Medicine and Health Sciences, Computer vision, Range of Motion, Articular, Gait, Musculoskeletal System, Multidisciplinary, Feet, Physics, Applied Mathematics, Simulation and Modeling, Classical Mechanics, Covariance, Biomechanical Phenomena, Lower Extremity, Physical Sciences, Medicine, Legs, Anatomy, Kalman Filter, Algorithms, Research Article, Science, Movement, Research and Analysis Methods, Motion capture, Models, Biological, Pelvis, Acceleration, Humans, Computer Simulation, Skeleton, Hip, business.industry, Biological Locomotion, 010401 analytical chemistry, Work (physics), Biology and Life Sciences, 020206 networking & telecommunications, Kalman filter, 0104 chemical sciences, body regions, Gait analysis, Body Limbs, Artificial intelligence, business, Mathematics
Abstract

Human lower-limb kinematic measurements are critical for many applications including gait analysis, enhancing athletic performance, reducing or monitoring injury risk, augmenting warfighter performance, and monitoring elderly fall risk, among others. We present a new method to estimate lower-limb kinematics using an error-state Kalman filter that utilizes an array of body-worn inertial measurement units (IMUs) and four kinematic constraints. We evaluate the method on a simplified 3-body model of the lower limbs (pelvis and two legs) during walking using data from simulation and experiment. Evaluation on this 3-body model permits direct evaluation of the ErKF method without several confounding error sources from human subjects (e.g., soft tissue artefacts and determination of anatomical frames). RMS differences for the three estimated hip joint angles all remain below 0.2 degrees compared to simulation and 1.4 degrees compared to experimental optical motion capture (MOCAP). RMS differences for stride length and step width remain within 1% and 4%, respectively compared to simulation and 7% and 5%, respectively compared to experiment (MOCAP). The results are particularly important because they foretell future success in advancing this approach to more complex models for human movement. In particular, our future work aims to extend this approach to a 7-body model of the human lower limbs composed of the pelvis, thighs, shanks, and feet.

Published
2020

207. A Gaussian Process Model of Muscle Synergy Functions for Estimating Unmeasured Muscle Excitations Using a Measured Subset

Author

Reed D. Gurchiek, Ryan S. McGinnis, and Anna T. Ursiny

Subjects
030506 rehabilitation, Computer science, Biomedical Engineering, Normal Distribution, Electromyography, Walking, Normal distribution, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, Sensor array, Kriging, Internal Medicine, medicine, Humans, Muscle, Skeletal, Gaussian process, medicine.diagnostic_test, General Neuroscience, Rehabilitation, Function (mathematics), Covariance, Biomechanical Phenomena, symbols, medicine.symptom, 0305 other medical science, Algorithm, 030217 neurology & neurosurgery, Muscle contraction, Muscle Contraction
Abstract

Estimation of muscle excitations from a reduced sensor array could greatly improve current techniques in remote patient monitoring. Such an approach could allow continuous monitoring of clinically relevant biomechanical variables that are ideal for personalizing rehabilitation. In this paper, we introduce the notion of a muscle synergy function which describes the synergistic relationship between a subset of muscles. We develop from first principles an approximation to their behavior using Gaussian process regression and demonstrate the utility of the technique for estimating the excitation time-series of leg muscles during normal walking for nine healthy subjects. Specifically, excitations for six muscles were estimated using surface electromyography (sEMG) data during a finite time interval (called the input window) from four different muscles (called the input muscles) with mean absolute error (MAE) less than 5.0% of the maximum voluntary contraction (MVC) and that accounts for 82-88% of the variance (VAF) in the true excitations. Further, these estimated excitations informed muscle activations with less than 4.0% MAE and 89-93% VAF. We also present a detailed analysis of a number of different modeling choices, including every possible combination of four-, three- and two-muscle input sets, the size and structure of the input window, and the stationarity of the Gaussian process covariance functions. Further, application specific modifications for future use are discussed. The proposed technique lays a foundation to explore the use of reduced wearable sensor arrays and muscle synergy functions for monitoring clinically relevant biomechanics during daily life.

Published
2020

208. Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis

Author

Nick Cheney, Dakota A. Allen, Andrew J. Solomon, Reed D. Gurchiek, Dale Larie, Ryan S. McGinnis, Lindsey J. Tulipani, Brett M. Meyer, and Lukas Adamowicz

Subjects
030506 rehabilitation, medicine.medical_specialty, Multiple Sclerosis, Computer science, Psychological intervention, Poison control, Wearable computer, Walking, Article, 03 medical and health sciences, Wearable Electronic Devices, 0302 clinical medicine, Physical medicine and rehabilitation, Gait (human), Deep Learning, Health Information Management, Injury prevention, medicine, Humans, Prospective Studies, Electrical and Electronic Engineering, Gait, Retrospective Studies, Artificial neural network, business.industry, Deep learning, Human factors and ergonomics, Computer Science Applications, Accidental Falls, Artificial intelligence, 0305 other medical science, business, 030217 neurology & neurosurgery, Biotechnology
Abstract

Falls are a significant problem for persons with multiple sclerosis (PwMS). Yet fall prevention interventions are not often prescribed until after a fall has been reported to a healthcare provider. While still nascent, objective fall risk assessments could help in prescribing preventative interventions. To this end, retrospective fall status classification commonly serves as an intermediate step in developing prospective fall risk assessments. Previous research has identified measures of gait biomechanics that differ between PwMS who have fallen and those who have not, but these biomechanical indices have not yet been leveraged to detect PwMS who have fallen. Moreover, they require the use of laboratory-based measurement technologies, which prevent clinical deployment. Here we demonstrate that a bidirectional long short-term (BiLSTM) memory deep neural network was able to identify PwMS who have recently fallen with good performance (AUC of 0.88) based on accelerometer data recorded from two wearable sensors during a one-minute walking task. These results provide substantial improvements over machine learning models trained on spatiotemporal gait parameters (21% improvement in AUC), statistical features from the wearable sensor data (16%), and patient-reported (19%) and neurologist-administered (24%) measures in this sample. The success and simplicity (two wearable sensors, only one-minute of walking) of this approach indicates the promise of inexpensive wearable sensors for capturing fall risk in PwMS.

Published
2020

209. Can Foot Anthropometry Predict Vertical Jump Performance?

Author

Herman van Werkhoven, Victoria S Hawley, and Reed D. Gurchiek

Subjects
Adult, Male, Anthropometry, Foot, Physical Therapy, Sports Therapy and Rehabilitation, General Medicine, Athletic Performance, medicine.disease_cause, Vertical jump, Young Adult, Jumping, Jump, medicine, Humans, Orthopedics and Sports Medicine, Female, Correlational analysis, Muscle Strength, Foot (unit), Demography, Mathematics, Sports
Abstract

Hawley, VS, Gurchiek, RD, and van Werkhoven, H. Can foot anthropometry predict vertical jump performance? J Strength Cond Res XX(X): 000-000, 2020-Vertical jumping is an important element of many sporting activities, and whether anthropometric adaptations can predict jumping performance is of interest. Few studies have specifically considered anthropometric measures of the foot and its link to performance. Furthermore, previous studies have mainly focused on a male subject pool, and whether relationships are consistent across sexes is unclear. The purpose of this study was to investigate relationships between common anthropometric measures, as well as specific foot measures, and jump performance in men and women. Anthropometric measures of 21 men (age: 22.0 ± 1.5 years; stature: 181.4 ± 6.3 cm; body mass: 85.6 ± 9.4 kg) and 21 women (age: 21.2 ± 1.8 years; stature: 166.1 ± 7.5 cm; body mass: 61.4 ± 11.4 kg) were taken before performing 3 maximal countermovement jumps (CMJs). Correlational analysis was used to determine relationships between anthropometric measures and CMJ height (a priori significance set at p≤ 0.05, effect size: small >0.1; medium >0.3; large >0.5). There was no significant correlation between anthropometric variables and CMJ height for men, whereas for women, mass (r = -0.585, p = 0.005, large effect), foot length (r = -0.533, p = 0.013, large effect), and toe length (r = -0.604, p = 0.004, large effect) showed significant negative correlations with CMJ height. The unexpected result that smaller feet and toes predicted higher jumps for women warrants further investigation. Furthermore, these results highlight the need to incorporate diverse subject pools, and a need for caution when generalizing across sexes.

Published
2020

210. Modeling Muscle Synergies as a Gaussian Process: Estimating Unmeasured Muscle Excitations using a Measured Subset

Author

Anna T. Ursiny, Reed D. Gurchiek, and Ryan S. McGinnis

Subjects
0301 basic medicine, medicine.diagnostic_test, Electromyography, Involved muscles, Work (physics), Normal Distribution, Mean absolute error, Ranging, Walking, Leg muscle, 03 medical and health sciences, symbols.namesake, 030104 developmental biology, 0302 clinical medicine, Control theory, medicine, symbols, Humans, Muscle activity, Muscle, Skeletal, Gaussian process, 030217 neurology & neurosurgery, Mathematics
Abstract

Continuous observation of muscle activity could provide a comprehensive picture of the loads experienced by muscles and joints during daily life. However, a major limitation to the practical application of this approach is the need to have surface electromyography (sEMG) sensors on all involved muscles. In this work, we model the synergistic relationship between muscles as a Gaussian process enabling the inference of unmeasured muscle excitations using a subset of measured data. Specifically, we developed a model for a single subject which uses sEMG data from four leg muscles to estimate the muscle excitation time-series of six other leg muscles during level walking at a self-selected speed. The proposed technique was able to accurately estimate the held-out muscle excitation time-series of the six muscles with correlation coefficients ranging from 0.74 to 0.87 and with mean absolute error less than 3%.

Published
2020
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211. Gait Event Detection Using a Thigh-Worn Accelerometer

Author

Ryan S. McGinnis, Reed D. Gurchiek, and Cole P. Garabed

Subjects
Adult, Male, medicine.medical_specialty, Mean squared error, Biophysics, STRIDE, Walking, Accelerometer, Article, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Gait (human), Physical medicine and rehabilitation, Accelerometry, medicine, Humans, Orthopedics and Sports Medicine, Ground reaction force, Treadmill, Mathematics, Foot, Rehabilitation, 030229 sport sciences, Biomechanical Phenomena, Preferred walking speed, Thigh, Gait analysis, Exercise Test, Female, Gait Analysis, 030217 neurology & neurosurgery, Algorithms
Abstract

Background Gait event detection is critical for remote gait analysis. Algorithms using a thigh-worn accelerometer for estimating spatiotemporal gait variables have demonstrated clinical utility in monitoring the gait of patients with gait and balance impairment. However, one may obtain accurate estimates of spatiotemporal variables, but with biased estimates of foot contact and foot off events. Some biomechanical analyses depend on accurate gait phase segmentation, but previous studies using a thigh-worn accelerometer have not quantified the error in estimating foot contact and foot off events. Methods Gait events and spatiotemporal gait variables were estimated using a thigh-worn accelerometer from 32 healthy subjects across a range of walking speeds (0.56–1.78 m/s). Ground truth estimates were obtained using vertical ground reaction forces measured using a pressure treadmill. Estimation performance was quantified using absolute error, root mean square error, and correlation analysis. Results Across all strides (N = 3,898), the absolute error in estimating foot contact, foot off, stride time, stance time, and swing time was similar to other accelerometer-based techniques (39 ± 28 ms, 28 ± 28 ms, 11 ± 14 ms, 46 ± 31 ms, and 45 ± 30 ms, respectively). The correlation between reference measurements and estimates of bout-average stride time, stance time, and swing time were 1.00, 0.92, and 0.80, respectively. The (5th, 95th) percentiles of the foot contact and foot off estimation errors were (-91 ms, 51 ms) and (-70 ms, 60 ms), the largest of which amounts to about three samples using the 31.25 Hz sampling frequency used in this study. Significance Use of the proposed algorithm for estimating spatiotemporal gait variables is supported by the strong correlations with reference measurements. The gait event estimation error distributions provide bounds on the estimated gait events for enforcing gait phase-dependent task constraints for biomechanical analysis.

Published
2020

212. Surgical Atrial Fibrillation Ablation Improves Long-Term Survival: A Multicenter Analysis

Author

Robert S. Kramer, Benjamin M. Westbrook, Reed D. Quinn, David J. Malenka, Anthony W. DiScipio, Jock N. McCullough, John D. Klemperer, Gerald L. Sardella, Cathy S. Ross, Bruce J. Leavitt, Paul W. Weldner, Alexander Iribarne, Michael P. Robich, and Elaine M. Olmstead

Subjects
Male, Pulmonary and Respiratory Medicine, medicine.medical_specialty, Time Factors, medicine.medical_treatment, Catheter ablation, 030204 cardiovascular system & hematology, Risk Assessment, 03 medical and health sciences, Postoperative Complications, 0302 clinical medicine, Aortic valve replacement, Risk Factors, Atrial Fibrillation, Clinical endpoint, Humans, Medicine, Survival rate, Aged, Retrospective Studies, Aged, 80 and over, business.industry, Retrospective cohort study, Atrial fibrillation, Middle Aged, Prognosis, medicine.disease, United States, Surgery, Survival Rate, 030228 respiratory system, Concomitant, Cohort, Catheter Ablation, Female, Morbidity, Cardiology and Cardiovascular Medicine, business, Follow-Up Studies
Abstract

The Society of Thoracic Surgeons guidelines recommend surgical ablation (SA) at the time of concomitant mitral operations, aortic valve replacement, coronary artery bypass grafting (CABG), and aortic valve replacement plus CABG for patients in atrial fibrillation (AF). The goal of this analysis was to assess the influence of SA on long-term survival.A retrospective analysis of 20,407 consecutive CABG or valve procedures from 2008 to 2015 among seven centers reporting to a prospectively maintained clinical registry was conducted. Patients undergoing operation with documented preoperative AF were included (n = 2,740). Patients receiving SA were compared with patients receiving no SA. The primary end point was all-cause mortality. Secondary end points included in-hospital morbidity and mortality.The frequency of SA was 23.1% (n = 634), and an increase was seen in the rate of SA over the study period (p0.001). Concomitant SA was performed in 16.2% of CABG, 30.6% of valve, and 24.3% of valve plus CABG procedures. A substantial improvement was found in unadjusted survival among patients undergoing SA (hazard ratio 0.54, 95% confidence interval: 0.42 to 0.70). Moreover, no differences were found in postoperative complications. SA did have longer bypass times (p0.001) but a shorter overall length of stay (p 0.001). After risk adjustment, SA patients had an improved 5-year survival (hazard ratio 0.69, 95% confidence interval: 0.51 to 0.92), and the effect was observed across all operations.In a multicenter cohort of patients with AF, concomitant SA resulted in substantially improved long-term survival across patients who underwent CABG, valve, and valve plus CABG. These findings support current guidelines from The Society of Thoracic Surgeons that recommend broader application of concomitant SA.

Published
2019
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215. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (vol 7, 225, 2020)

Author

Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brummer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grunwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hortnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Luers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, Papale, D, Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brummer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grunwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hortnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Luers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, and Papale, D

Abstract

A Correction to this paper has been published: https://doi.org/10.1038/s41597-021-00851-9.

Published
2021

216. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardö, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brümmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D’Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrêne, E, Dunn, A, Dušek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grünwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hörtnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janouš, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, López-Ballesteros, A, López-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lüers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, Ü, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sánchez-Cañete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlák, P, Serrano-Ortíz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Šigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, Papale, D, Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardö, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brümmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D’Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrêne, E, Dunn, A, Dušek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grünwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hörtnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janouš, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, López-Ballesteros, A, López-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lüers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, Ü, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sánchez-Cañete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlák, P, Serrano-Ortíz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Šigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, and Papale, D

Abstract

The following authors were omitted from the original version of this Data Descriptor: Markus Reichstein and Nicolas Vuichard. Both contributed to the code development and N. Vuichard contributed to the processing of the ERA-Interim data downscaling. Furthermore, the contribution of the co-author Frank Tiedemann was re-evaluated relative to the colleague Corinna Rebmann, both working at the same sites, and based on this re-evaluation a substitution in the co-author list is implemented (with Rebmann replacing Tiedemann). Finally, two affiliations were listed incorrectly and are corrected here (entries 190 and 193). The author list and affiliations have been amended to address these omissions in both the HTML and PDF versions.

Published
2021

217. Major depressive disorder in the older adult: implications for women

Author

Goldstein, Reed D. and Gruenberg, Alan M.

Subjects
Major depressive disorder -- Research, Major depressive disorder -- Care and treatment, Major depressive disorder -- Analysis, Aged -- Psychological aspects, Aged -- Research, Aged -- Analysis, Women -- Health aspects, Women -- Psychological aspects, Women -- Research, Women -- Analysis, Seniors, Women's issues/gender studies
Abstract

Mood disorders manifest across the life span yet often go undiagnosed and untreated. Increasingly, Major Depressive Disorder (MDD) in the older adult is recognized as a frequently occurring, heterogeneous psychiatric illness that impacts the individual and family, one's physical health, and society. Women are more likely to be diagnosed with MDD than men and therefore it is important to identify specific risk factors and other distinguishing features. This article reviews the descriptive characteristics, epidemiology, etiology and pathophysiology, course and natural history, and assessment and treatment of MDD with specific focus on women and aging. doi: 10.1300/J074v19n01_05 KEYWORDS. Depression, women, aging, mood disorders, dysthymia

Published
2007

219. Bringing twentieth-century water projects into the twenty-first century: The case for revisiting dam operations in Alberta

Author

Reed D. Benson and Stewart B. Rood

Subjects
0106 biological sciences, History, 010604 marine biology & hydrobiology, 0208 environmental biotechnology, Economic history, Twenty-First Century, 02 engineering and technology, 01 natural sciences, Socioeconomic status, 020801 environmental engineering, Water Science and Technology
Abstract

Like many semi-arid regions, southern Alberta, Canada, has many large dams and reservoirs, most of which were constructed decades ago. These dams provide important socioeconomic benefits, but can a...

Published
2018
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221. New Grid Scheduling and Rescheduling Methods in the GrADS Project

Author

Berman, F., Casanova, H., Chien, A, Cooper, K., Dail, H., Dasgupta, A., Deng, W., Dongarra, J., Johnsson, L., Kennedy, K., Koelbel, C., Liu, B., Liu, X., Mandal, A., Marin, G., Mazina, M., Mellor-Crummey, J., Mendes, C., Olugbile, A., Patel, M., Reed, D., Shi, Z., Sievert, O., Xia, H., and YarKhan, A.

Published
2005
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227. The novel Mechanical Ventilator Milano for the COVID-19 pandemic

Author

Abba, A., primary, Accorsi, C., additional, Agnes, P., additional, Alessi, E., additional, Amaudruz, P., additional, Annovi, A., additional, Desages, F. Ardellier, additional, Back, S., additional, Badia, C., additional, Bagger, J., additional, Basile, V., additional, Batignani, G., additional, Bayo, A., additional, Bell, B., additional, Beschi, M., additional, Biagini, D., additional, Bianchi, G., additional, Bicelli, S., additional, Bishop, D., additional, Boccali, T., additional, Bombarda, A., additional, Bonfanti, S., additional, Bonivento, W. M., additional, Bouchard, M., additional, Breviario, M., additional, Brice, S., additional, Brown, R., additional, Calvo-Mozota, J. M., additional, Camozzi, L., additional, Camozzi, M., additional, Capra, A., additional, Caravati, M., additional, Carlini, M., additional, Ceccanti, A., additional, Celano, B., additional, Cela Ruiz, J. M., additional, Charette, C., additional, Cogliati, G., additional, Constable, M., additional, Crippa, C., additional, Croci, G., additional, Cudmore, S., additional, Dahl, C. E., additional, Dal Molin, A., additional, Daley, M., additional, Di Guardo, C., additional, D'Avenio, G., additional, Davignon, O., additional, Del Tutto, M., additional, De Ruiter, J., additional, Devoto, A., additional, Diaz Gomez Maqueo, P., additional, Di Francesco, F., additional, Dossi, M., additional, Druszkiewicz, E., additional, Duma, C., additional, Elliott, E., additional, Farina, D., additional, Fernandes, C., additional, Ferroni, F., additional, Finocchiaro, G., additional, Fiorillo, G., additional, Ford, R., additional, Foti, G., additional, Fournier, R. D., additional, Franco, D., additional, Fricbergs, C., additional, Gabriele, F., additional, Galbiati, C., additional, Garcia Abia, P., additional, Gargantini, A., additional, Giacomelli, L., additional, Giacomini, F., additional, Giarratana, L. S., additional, Gillespie, S., additional, Giorgi, D., additional, Girma, T., additional, Gobui, R., additional, Goeldi, D., additional, Golf, F., additional, Gorel, P., additional, Gorini, G., additional, Gramellini, E., additional, Grosso, G., additional, Guescini, F., additional, Guetre, E., additional, Hackman, G., additional, Hadden, T., additional, Hawkins, W., additional, Hayashi, K., additional, Heavey, A., additional, Hersak, G., additional, Hessey, N., additional, Hockin, G., additional, Hudson, K., additional, Ianni, A., additional, Ienzi, C., additional, Ippolito, V., additional, James, C. C., additional, Jillings, C., additional, Kendziora, C., additional, Khan, S., additional, Kim, E., additional, King, M., additional, King, S., additional, Kittmer, A., additional, Kochanek, I., additional, Kowalkowski, J., additional, Krücken, R., additional, Kushoro, M., additional, Kuula, S., additional, Laclaustra, M., additional, Leblond, G., additional, Lee, L., additional, Lennarz, A., additional, Leyton, M., additional, Li, X., additional, Liimatainen, P., additional, Lim, C., additional, Lindner, T., additional, Lomonaco, T., additional, Lu, P., additional, Lubna, R., additional, Lukhanin, G. A., additional, Luzón, G., additional, MacDonald, M., additional, Magni, G., additional, Maharaj, R., additional, Manni, S., additional, Mapelli, C., additional, Margetak, P., additional, Martin, L., additional, Martin, S., additional, Martínez, M., additional, Massacret, N., additional, McClurg, P., additional, McDonald, A. B., additional, Meazzi, E., additional, Migalla, R., additional, Mohayai, T., additional, Tosatti, L. M., additional, Monzani, G., additional, Moretti, C., additional, Morrison, B., additional, Mountaniol, M., additional, Muraro, A., additional, Napoli, P., additional, Nati, F., additional, Natzke, C. R., additional, Noble, A. J., additional, Norrick, A., additional, Olchanski, K., additional, Ortiz de Solorzano, A., additional, Padula, F., additional, Pallavicini, M., additional, Palumbo, I., additional, Panontin, E., additional, Papini, N., additional, Parmeggiano, L., additional, Parmeggiano, S., additional, Patel, K., additional, Patel, A., additional, Paterno, M., additional, Pellegrino, C., additional, Pelliccione, P., additional, Pesudo, V., additional, Pocar, A., additional, Pope, A., additional, Pordes, S., additional, Prelz, F., additional, Putignano, O., additional, Raaf, J. L., additional, Ratti, C., additional, Razeti, M., additional, Razeto, A., additional, Reed, D., additional, Refsgaard, J., additional, Reilly, T., additional, Renshaw, A., additional, Retriere, F., additional, Riccobene, E., additional, Rigamonti, D., additional, Rizzi, A., additional, Rode, J., additional, Romualdez, J., additional, Russel, L., additional, Sablone, D., additional, Sala, S., additional, Salomoni, D., additional, Salvo, P., additional, Sandoval, A., additional, Sansoucy, E., additional, Santorelli, R., additional, Savarese, C., additional, Scapparone, E., additional, Schaubel, T., additional, Scorza, S., additional, Settimo, M., additional, Shaw, B., additional, Shawyer, S., additional, Sher, A., additional, Shi, A., additional, Skensved, P., additional, Slutsky, A., additional, Smith, B., additional, Smith, N. J. T., additional, Stenzler, A., additional, Straubel, C., additional, Stringari, P., additional, Suchenek, M., additional, Sur, B., additional, Tacchino, S., additional, Takeuchi, L., additional, Tardocchi, M., additional, Tartaglia, R., additional, Thomas, E., additional, Trask, D., additional, Tseng, J., additional, Tseng, L., additional, VanPagee, L., additional, Vedia, V., additional, Velghe, B., additional, Viel, S., additional, Visioli, A., additional, Viviani, L., additional, Vonica, D., additional, Wada, M., additional, Walter, D., additional, Wang, H., additional, Wang, M. H. L. S., additional, Westerdale, S., additional, Wood, D., additional, Yates, D., additional, Yue, S., additional, and Zambrano, V., additional

Published
2021
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230. Abstract

Author

Chhina, Tejinder S., Lapierre, Harry, Jackson, Zane S., Leong-Poi, Howard M., Teitel, Jerome M., Latter, David A., Strauss, Bradley H., Gross, Peter L., Mazer, C. David, Brull, Richard, McCartney, Colin J. L., Abbas, Sherif, Nova, Hugo, Rawson, Regan, Chan, Vincent W. S., Katz, Joel, Graham, Brent, Anastakis, Dimitri, von Schroeder, Herbert, Lallo, Alexandre, Drolet, Pierre, Lacroix, Mélanie, You-Ten, Kong E., Caraiscos, Valerie B., Elliot, Erin M., Cheng, Victor Y., MacDonald, John F., Orser, Beverley A., Lau, Bertrand, Tsui, Ban C. H., Mollison, Heather L., McKay, William P. S., Patel, Rajesh, Chow, Vance, Negraeff, October, Karam, Rana, Yang, H., Raymer, K., Butler, R., Parlow, J., Roberts, R., Campbell, David C., Breen, Terrance W., Halpern, Stephen, Muir, Holly, Nunn, Robert, Katznelson, Rita, Karkouti, Keyvan, Ghannam, Mohammed, Abdelnaem, Esam, Carroll, Jo, McCluskey, Stuart, Yau, Terrence M., Karski, Jacek, Hare, Gregory M. T., Li, Xiamao, Qu, Rong, Cheung, May S. M., Coackley, Carla, Baker, Andrew J., Ronayne, Michael, Song, Dajun, Chung, Frances, Ward, Barnaby, Yogendran, Suntheralingam, Sibbick, Carolyn, Silcox, Lisa C., Ashbury, Ted L., Milne, Brian, VanDen Kerkhof, Elizabeth G., Morgan, Pamela J., Cleave-Hogg, Doreen, DeSousa, Susan, Wang, Louie, Lujic, Jelka, Donnelly, Niamh I., Torok-Both, Clint J., Finegan, Barry, Jacka, Michael J., Finegan, Barry A., Chawla, Rajiv, Agrawal, Ravi K., Kumar, Mahendra, Goldstein, David H., Paul, James E., Sawhney, Monakshi, Beattie, W. Scott, McLean, Richard F., Parlow, Joel L., Tod, Deborah A., Souzdalnitski, Dmitri, Sourovtseva, Elena, Livingstone, Donald, Faclier, Gil, Sawyer, Jason, Kay, Joseph, Avila, Arsenio, Balki, Mrinalini, Manninen, Pirjo H., Lukitto, Karolinah, Lukins, Michael B., Quader, Keya, Agarwal, Munisha, Kawatra, Rakhi, Dali, J. S., Mak, Peter H., Jose, Geraldine, Hall, Sean R., Wang, Louie, Hong, Murray, Rapchuk, Ivan L., Loo, Karen, Deschamps, Alain, Suzuki, Asaha, Kanai, Akifumi, Hoka, Sumio, Ho, Anthony M. -H., Karmakar, Manoj K., Lee, Anna, Samy, Winnie, Yi, Jie, Lai, Paul B. S., Cho, Amy, Stockton, E., Gowrie-Mohan, S., Ramanayake, P. U., Jothilingam, S., Mirmansouri, Ali, Wagner, Alese M., Cunningham, Kirsten, Perry, Shirley, Desai, Sunil, Torok-Both, Clint, DeKoven, Kathryn, Deschamps, Alain, Brousseau, Paul, Hung, Orlando, Law, Adam, Levangie, Derek, Cheverie, Ronald, Caputo, Karen M., Byrick, Robert, Chapman, Martin, Vicente, Kim, Atlas, Glen, Léveillé, Josiane, Côté, Dany, Soucy, Julie, Bussières, Jean S., Wijeysundera, Duminda N., Djaiani, George, Rao, Vivek, Borger, Michael A., Cusimano, Robert J., Moghadam, Anoush D., Heydarzadeh, Abtin, Fayad, Ashraf A., Yang, Homer, Ling, Elizabeth, Tenenbein, Paul K., Maguire, Doug, Debrouwere, Roland, Duke, Peter C., Kowalski, Stephen E., Chakravarty, Devashish, Dupuis, Jean-Yves, Nathan, Howard, Rubens, Fraser, Masters, Roy, Hendry, Paul, Mesana, Thierry, Jung, Hyun Ju, Chamchad, Dmitri, Arkoosh, Valerie, Wijeysundera, Duminda, Chan, Chris, Datillo, Kathleen, Ivano, Joan, Clark, Cantwell, Quinn, Reed D., Braxton, John H., Taenzer, Andreas H., Sullivan, Kristen M., Al-Abdulhadi, Osama A., Biehl, Diane R., Ong, Bill Y., Boker, Abdulaziz, Stewart, Kristine I., Shaw, Susan A., Hong, Jeong-Yeon, Morgan, Pamela J., Palmer, Susan K., Kung, Rose, Halpern, Stephen H., Yee, Jennifer A., Goldszmidt, Eric, Chettle, Crystal, Kern, Ralph, Downey, Kristi, Devito, Isabella, Macarthur, Alison, Purdie, Niall L., Angle, Pamela J., Kurtz-Landy, Christine, Streiner, David, Charles, Cathy, Kung, Rose, MacDonnell, Jo Watson, Lam, Desmond, Lie, Lie Ming, Kronberg, Jean E., Thompson, Dorothy E., Dong, Haiheng, Hyder, Ayman, Wang, Qinghua, Lu, Wei-Yang, Imasogie, Ngozi N., Chung, Frances, Prahbu, Atul, Curti, Bruna, Potyomkina, Zoya, Belmont, Matthew R., Tjan, Joseph, Lien, Cynthia A., Patel, Sanjay, Imarengiaye, Charles, Peirovy, Javad, Edward, Reginald, Chung, Frances F., Kayumov, Leonid, Sinclair, David R., Moller, Henry J., Shapiro, Colin M., Michaud, Guillaume, Trager, Guillaume, Deschamps, Stephane, Hemmerling, Thomas M., Hsu, Janet, Cheng, Patrick, Granton, John T., Baxter, Alan D., Kanji, Salmaan, Oxner, Adam D., Buth, Karen J., Hirsch, Gregory M., DiQuinzio, Claudio, Hirsch, Kristine A., Denault, A., Couture, P., Carrier, M., Fortier, A., Babin, D., Tardif, J. C., Olivier, Jean-François, Basile, Fadi, Prieto, Ignatio, Lê, Nhiên, Hirasaki, Yuji, Murphy, Patricia, McRae, Karen, Waddell, Thomas, Keshavjee, Shaf, Slinger, Peter, Van Rensburg, Adriaan, Yau, Terry M., Yeo, Eric, Sutton, David, Borger, Michael, Blaise, Gilbert, Gangal, Marius D., Gao, Lan, McCluskey, Stuart A., Cheung, Wing, Metha, Bobby, Poonwala, Humara, Fedorko, Ludwik, Symon, Johnson R., Peterson, Mark D., Leipoldt, Carl C. P., Clunie, Michelle, Mckay, William P. S., Miller, Grant, Guay, Joanne, Lortie, Louise, Son, Soochang, Kim, Yunhee, Arai, Toshimi, Yamashita, Masao, Rohan, Denise, Barlow, Ross, Barbour, Sean J., Ansermino, J. Mark, Vandebeek, Christine A., Raman, Rangamani K., Nakatsuka, Nao, Montgomery, Carolyne J., Skarsgard, Erik D., Court, Colleen A., Galton, James S., Crawford, Mark W., Naser, Basem, Carter, Clifford, Liu, Richard, Usher, Andrew G., Cave, Dominic A., Tang, Cathy, Hayes, Jason A., and Tan, Juliana M.

Published
2004
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232. High-level semi-synthetic production of the potent antimalarial artemisinin

Author

Paddon, C. J., Westfall, P. J., Pitera, D. J., Benjamin, K., Fisher, K., McPhee, D., Leavell, M. D., Tai, A., Main, A., Eng, D., Polichuk, D. R., Teoh, K. H., Reed, D. W., Treynor, T., Lenihan, J., Jiang, H., Fleck, M., Bajad, S., Dang, G., Dengrove, D., Diola, D., Dorin, G., Ellens, K. W., Fickes, S., Galazzo, J., Gaucher, S. P., Geistlinger, T., Henry, R., Hepp, M., Horning, T., Iqbal, T., Kizer, L., Lieu, B., Melis, D., Moss, N., Regentin, R., Secrest, S., Tsuruta, H., Vazquez, R., Westblade, L. F., Xu, L., Yu, M., Zhang, Y., Zhao, L., Lievense, J., Covello, P. S., Keasling, J. D., Reiling, K. K., Renninger, N. S., and Newman, J. D.

Published
2013
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235. Reviewers

Author

Bienstock, Jessica L., primary, Cohen, Bernard A., additional, Cooper, Lisa A., additional, Gearhart, John P., additional, Giardiello, Francis M., additional, Hesdorffer, Charles, additional, Kinney, Leanna, additional, Llinas, Rafael H., additional, McCambridge, Teri, additional, Ratchford, Elizabeth, additional, Riley, Reed D., additional, Scheel, Janet, additional, Schwartz, Amy Kathryn, additional, Sosnay, Patrick R., additional, Zieman, Susan J., additional, Hopkins, Hollis, additional, Medina, Crystal, additional, and Wu, James, additional

Published
2011
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236. Mitral valve repair and replacement in northern New England

Author

Nowicki, Edward R., Weintraub, Ronald W., Birkmeyer, Nancy J., Sanders, John H., Dacey, Lawrence J., Lahey, Stephen J., Leavitt, Bruce, Clough, Robert A., Quinn, Reed D., and O'Connor, Gerald T.

Subjects
Clinical trials -- Practice, Mitral valve stenosis -- Research, Mitral valve stenosis -- Care and treatment, Diagnosis -- Evaluation, Health
Published
2003

240. Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs

Author

Okazaki, Y., Furuno, M., Kasukawa, T., Adachi, J., Bono, H., Kondo, S., Nikaido, I., Osato, N., Saito, R., Suzuki, H., Yamanaka, I., Kiyosawa, H., Yagi, K., Tomaru, Y., Hasegawa, Y., Nogami, A., Schonbach, C., Gojobori, T., Baldarelli, R., Hill, D. P., Bult, C., Hume, D. A., Quackenbush, J., Schriml, L. M., Kanapin, A., Matsuda, H., Batalov, S., Beisel, K. W., Blake, J. A., Bradt, D., Brusic, V., Chothia, C., Corbani, L. E., Cousins, S., Dalla, E., Dragani, T. A., Fletcher, C. F., Forrest, A., Frazer, K. S., Gaasterland, T., Gariboldi, M., Gissi, C., Godzik, A., Gough, J., Grimmond, S., Gustincich, S., Hirokawa, N., Jackson, I. J., Jarvis, E. D., Kanai, A., Kawaji, H., Kawasawa, Y., Kedzierski, R. M., King, B. L., Konagaya, A., Kurochkin, I. V., Lee, Y., Lenhard, B., Lyons, P. A., Maglott, D. R., Maltais, L., Marchionni, L., McKenzie, L., Miki, H., Nagashima, T., Numata, K., Okido, T., Pavan, W. J., Pertea, G., Pesole, G., Petrovsky, N., Pillai, R., Pontius, J. U., Qi, D., Ramachandran, S., Ravasi, T., Reed, J. C., Reed, D. J., Reid, J., Ring, B. Z., Ringwald, M., Sandelin, A., Schneider, C., Semple, C. A. M., Setou, M., Shimada, K., Sultana, R., Takenaka, Y., Taylor, M. S., Teasdale, R. D., Tomita, M., Verardo, R., Wagner, L., Wahlestedt, C., Wang, Y., Watanabe, Y., Wells, C., Wilming, L. G., Wynshaw-Boris, A., Yanagisawa, M., Yang, I., Yang, L., Yuan, Z., Zavolan, M., Zhu, Y., Zimmer, A., Carninci, P., Hayatsu, N., Hirozane-Kishikawa, T., Konno, H., Nakamura, M., Sakazume, N., Sato, K., Shiraki, T., Waki, K., Kawai, J., Aizawa, K., Arakawa, T., Fukuda, S., Hara, A., Hashizume, W., Imotani, K., Ishii, Y., Itoh, M., Kagawa, I., Miyazaki, A., Sakai, K., Sasaki, D., Shibata, K., Shinagawa, A., Yasunishi, A., Yoshino, M., Waterston, R., Lander, E. S., Rogers, J., Birney, E., and Hayashizaki, Y.

Subjects
Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Author(s): The FANTOM Consortium and the RIKEN Genome Exploration Research Group Phase I & II Team*; FANTOM Consortium:; Y. Okazaki [1, 2]; M. Furuno [1]; T. Kasukawa [1, 3]; J. [...]

Published
2002
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