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53. Adaptação cultural de instrumento para avaliação da capacidade física em cardiopatas

Author

Gabriela de Barros Leite Domingues, Maria Cecília Gallani, Claudio Alexandre Gobatto, Cinthya Tamie Passos Miura, Roberta Cunha Matheus Rodrigues, and Jonathan Myers

Subjects
acondicionamiento físico, cardiopatías, cuestionario, evaluación, métodos, reproducibilidad de resultados, traducción (producto), Public aspects of medicine, RA1-1270
Abstract

OBJETIVO: Validar o conteúdo e avaliar a confiabilidade do instrumento Veterans Specific Activity Questionnaire, adaptado culturalmente para uso na população brasileira de cardiopatas. MÉTODOS: O instrumento foi traduzido, retrotraduzido e analisado por comitê de juízes para avaliação das equivalências semântico-idiomática e cultural. As atividades físicas indicadas no instrumento incomuns ao cotidiano da população-alvo foram substituídas. Outro comitê de especialistas analisou a equivalência metabólica das atividades substituídas. A proporção de concordância de avaliação dos juízes foi quantificada pelo Índice de Validade de Conteúdo. O pré-teste foi realizado em duas etapas (n1 e n2 = 15). A confiabilidade foi avaliada por meio do teste re-teste (intervalo de 7-15 dias, n = 50). RESULTADOS: Na avaliação das equivalências semântico-idiomática e cultural, os itens com Índice de Validade de Conteúdo < 1 foram revisados até obtenção de consenso entre os juízes. Constatou-se 100% de concordância do segundo comitê na análise da equivalência metabólica entre as atividades originais e as substituídas. Análise do teste re-teste apontou coeficiente de concordância kappa (k = 0,86; p < 0,001), sugerindo estabilidade temporal do instrumento. CONCLUSÕES: A versão validada do Veterans Specific Activity Questionnaire apresentou evidências de confiabilidade segundo critério de estabilidade temporal e conteúdo cultural adequado.

72. Cardiopulmonary Exercise Testing for Patients With Neuromuscular Disease and Limited Mobility

Author

Jeffrey W. Christle, Tina Duong, Dana Parker, Veronica Stevens, Sally Dunaway Young, Beth D. Kaufman, Whitney Tang, Jacinda Sampson, Jonathan Myers, Euan A. Ashley, John Day, and Matthew T. Wheeler

Subjects
General Medicine
Abstract

BackgroundPatients with neuromuscular disease (NMD) have progressive muscle weakness and limited mobility that contributes to a sedentary lifestyle. A sedentary lifestyle often leads to deconditioning and decreases cardiorespiratory fitness (CRF). Cardiopulmonary exercise testing (CPX) is the gold standard for the evaluation of CRF but has not been widely applied in patients with NMD.MethodsPatients with NMD were recruited from the Neuromuscular Clinic at the Stanford Neurosciences Health Center at Stanford University. Matched controls were recruited by staff from the local community by word of mouth. All participants performed CPX using a wheelchair-accessible total body trainer and a wearable metabolic cart system to volitional exhaustion.ResultsParticipants with NMD and limited mobility (n = 37) were able to perform high-quality CPX with no adverse events or safety concerns of comparable quality to controls. Average respiratory exchange ratio for NMD patients was 1.08 ± 0.16, and average rating of perceived exertion was 18 ± 2 compared with 1.16 ± 0.12 and 18 ± 2 for controls, respectively (P = 0.17 and P = 0.78, respectively). Patients with NMD on average showed markedly reduced percent predicted VO2max and impaired ventilatory efficiency.ConclusionHigh-quality CPX in patients with NMD may reveal distinct physiological profiles that may lead to a better understanding of pathology in these individuals. CPX on total body trainers may be a viable method for improving exercise prescription for patients with NMD.

Published
2023

74. Effect of beta‐blocker therapy on the response to mavacamten in patients with symptomatic obstructive hypertrophic cardiomyopathy

Author

Matthew T. Wheeler, Daniel Jacoby, Perry M. Elliott, Sara Saberi, Sheila M. Hegde, Neal K. Lakdawala, Jonathan Myers, Amy J. Sehnert, Jay M. Edelberg, Wanying Li, and Iacopo Olivotto

Subjects
Cardiology and Cardiovascular Medicine
Abstract

In the EXPLORER-HCM trial, mavacamten improved exercise capacity and symptoms in patients with obstructive hypertrophic cardiomyopathy (oHCM). Mavacamten effects on the primary endpoint, a composite of peak oxygen consumption (VOSubgroup analyses by beta-blocker use were performed in patients with oHCM from the EXPLORER-HCM and mavacamten long-term extension (MAVA-LTE) studies. In EXPLORER-HCM, 189 patients (75.3%) were receiving beta-blockers, and 62 (24.7%) were receiving non-dihydropyridine calcium-channel blockers or no background HCM medication; 170 patients (90.4%) receiving beta-blockers had chronotropic incompetence. Improvements in peak VOMavacamten improved measures of functional capacity, LVOT obstruction, symptom burden and biomarkers in patients with HCM regardless of beta-blocker use. Beta-blocker use was often associated with chronotropic incompetence, affecting peak VO

Published
2023

80. A Nonexercise Prediction of Peak Oxygen Uptake for Patients With Cardiovascular Disease

Author

James E, Peterman, Ross, Arena, Jonathan, Myers, Philip A, Ades, Amanda R, Bonikowske, Matthew P, Harber, Susan, Marzolini, Patrick D, Savage, Ray W, Squires, Carl J, Lavie, and Leonard A, Kaminsky

Subjects
Pulmonary and Respiratory Medicine, Rehabilitation, Cardiology and Cardiovascular Medicine
Abstract

Nonexercise predictions of peak oxygen uptake (V˙o2peak) are used clinically, yet current equations were developed from cohorts of apparently healthy individuals and may not be applicable to individuals with cardiovascular disease (CVD). Our purpose was to develop a CVD-specific nonexercise prediction equation for V˙o2peak.Participants were from the Fitness Registry and Importance of Exercise International Database (FRIEND) with a diagnosis of coronary artery bypass surgery (CABG), myocardial infarction (MI), percutaneous coronary intervention (PCI), or heart failure (HF) who met maximal effort criteria during a cardiopulmonary exercise test (n = 15 997; 83% male; age 63.1 ± 10.4 yr). The cohort was split into development (n = 12 798) and validation groups (n = 3199). The prediction equation was developed using regression analysis and compared with a previous equation developed on a healthy cohort.Age, sex, height, weight, exercise mode, and CVD diagnosis were all significant predictors of V˙o2peak. The regression equation was:V˙o2peak (mL · kg-1 · min-1) = 16.18 - (0.22 × age [yr]) + (3.63 × sex [male = 1; female = 0]) + (0.14 × height [cm]) - (0.12 × weight [kg]) + (3.62 × mode [treadmill = 1; cycle = 0]) - (2.70 × CABG [yes = 1, no = 0]) - (0.31 × MI [yes = 1, no = 0]) + (0.37 × PCI [yes = 1, no = 0]) - (4.47 × HF [yes = 1, no = 0]). Adjusted R2 = 0.43; SEE = 4.75 mL · kg-1 · min-1.Compared with measured V˙o2peak in the validation group, percent predicted V˙o2peak was 141% for the healthy cohort equation and 100% for the CVD-specific equation.The new equation for individuals with CVD had lower error between measured and predicted V˙o2peak than the healthy cohort equation, suggesting population-specific equations are needed for predicting V˙o2peak; however, errors associated with nonexercise prediction equations suggest V˙o2peak should be directly measured whenever feasible.

Published
2022

81. Cardiorespiratory Fitness and Mortality Risk Across the Spectra of Age, Race, and Sex

Author

Peter Kokkinos, Charles Faselis, Immanuel Babu Henry Samuel, Andreas Pittaras, Michael Doumas, Rayelynn Murphy, Michael S. Heimall, Xuemei Sui, Jiajia Zhang, and Jonathan Myers

Subjects
Aged, 80 and over, Male, Cardiorespiratory Fitness, Physical Fitness, Risk Factors, Exercise Test, Humans, Female, Middle Aged, Cardiology and Cardiovascular Medicine, Exercise, Aged, Proportional Hazards Models
Abstract

Cardiorespiratory fitness (CRF) is inversely associated with all-cause mortality. However, the association of CRF and mortality risk for different races, women, and elderly individuals has not been fully assessed.The aim of this study was to evaluate the association of CRF and mortality risk across the spectra of age, race, and sex.A total of 750,302 U.S. veterans aged 30 to 95 years (mean age 61.3 ± 9.8 years) were studied, including septuagenarians (n = 110,637), octogenarians (n = 26,989), African Americans (n = 142,798), Hispanics (n = 35,197), Native Americans (n = 16,050), and women (n = 45,232). Age- and sex-specific CRF categories (quintiles and 98th percentile) were established objectively on the basis of peak METs achieved during a standardized exercise treadmill test. Multivariable Cox models were used to estimate HRs and 95% CIs for mortality across the CRF categories.During follow-up (median 10.2 years, 7,803,861 person-years of observation), 174,807 subjects died, averaging 22.4 events per 1,000 person-years. The adjusted association of CRF and mortality risk was inverse and graded across the age spectrum, sex, and race. The lowest mortality risk was observed at approximately 14.0 METs for men (HR: 0.24; 95% CI: 0.23-0.25) and women (HR: 0.23; 95% CI: 0.17-0.29), with no evidence of an increase in risk with extremely high CRF. The risk for least fit individuals (20th percentile) was 4-fold higher (HR: 4.09; 95% CI: 3.90-4.20) compared with extremely fit individuals.The association of CRF and mortality risk across the age spectrum (including septuagenarians and octogenarians), men, women, and all races was inverse, independent, and graded. No increased risk was observed with extreme fitness. Being unfit carried a greater risk than any of the cardiac risk factors examined.

Published
2022

84. An interwoven financialization narrative as a driver of the 2008 Crash

Author

Jonathan Myers

Subjects
Finance
Abstract

Purpose The 2008 Crash (the Crash) has been attributed to the dominance of financialized corporate governance, particularly an increased shareholder value rhetoric. Following the Crash, this extreme narrative is understood to have become less financialized through increasingly favouring stakeholders. The purpose of this research is to investigate this often-accepted view using field theory, wherein managers' biases in the value-creating process result from an interconnected, dynamic, multi-actor discourse. Design/methodology/approach Various domains across the UK’s corporate governance environment, from the perspective of field theory, generate the complex discourse: corporate and regulatory domains, stakeholder organizations such as the press and think tanks. Domain-specific corpora, representative of this multi-actor field, were constructed, with financialization analysed by assessing managers’ altering biases concerning the relative importance of shareholders and stakeholders (amongst other factors like time horizon) to value creation. Findings Highlights of the multiple findings include the following: corporate narrative about value creation became less financialized following the Crash, yet favouring shareholders, while the multi-actor discourse for the UK economy as a whole became slightly more financialized. Originality/value Analysing a multi-actor discourse is complex. And this, to the best of the author’s knowledge, is the first study of its kind, and only made possible with the original methodology of narrative staining. The approach, while having particular relevance to field theory, is applicable to many other narrative-based research scenarios.

Published
2022

85. Successful 10-second one-legged stance performance predicts survival in middle-aged and older individuals

Author

Claudio Gil Araujo, Christina Grüne de Souza e Silva, Jari Antero Laukkanen, Maria Fiatarone Singh, Setor Kwadzo Kunutsor, Jonathan Myers, João Felipe Franca, and Claudia Lucia Castro

Subjects
Male, Anthropometry, Risk Factors, Humans, Female, Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine, Comorbidity, General Medicine, Middle Aged, Exercise, Aged, Body Mass Index
Abstract

ObjectivesBalance quickly diminishes after the mid-50s increasing the risk for falls and other adverse health outcomes. Our aim was to assess whether the ability to complete a 10- s one-legged stance (10-second OLS) is associated with all-cause mortality and whether it adds relevant prognostic information beyond ordinary demographic, anthropometric and clinical data.MethodsAnthropometric, clinical and vital status and 10-s OLS data were assessed in 1702 individuals (68% men) aged 51–75 years between 2008 and 2020. Log-rank and Cox modelling were used to compare survival curves and risk of death according to ability (YES) or inability (NO) to complete the 10-s OLS test.ResultsOverall, 20.4% of the individuals were classified as NO. During a median follow-up of 7 years, 7.2% died, with 4.6% (YES) and 17.5% (NO) on the 10-s OLS. Survival curves were worse for NO 10-s OLS (log-rank test=85.6; p<0.001)) for NO individuals. Adding 10-s OLS to a model containing established risk factors was associated with significantly improved mortality risk prediction as measured by differences in −2 log likelihood and integrated discrimination improvement.ConclusionsWithin the limitations of uncontrolled variables such as recent history of falls and physical activity, the ability to successfully complete the 10-s OLS is independently associated with all-cause mortality and adds relevant prognostic information beyond age, sex and several other anthropometric and clinical variables. There is potential benefit to including the 10-s OLS as part of routine physical examination in middle-aged and older adults.

Published
2022

86. Exercise oscillatory breathing in heart failure with reduced ejection fraction: clinical implication

Author

Cássia da Luz Goulart, Piergiuseppe Agostoni, Elisabetta Salvioni, Leonard A Kaminsky, Jonathan Myers, Ross Arena, and Audrey Borghi-Silva

Subjects
Heart Failure, Oxygen Consumption, Epidemiology, Exercise Test, Humans, Stroke Volume, Prognosis, Pulmonary Ventilation, Cardiology and Cardiovascular Medicine, Ventricular Function, Left
Abstract

Aim The aim of the study is (i) to evaluate the impact of exercise oscillatory ventilation (EOV) in patients with heart failure (HF) with reduced left ventricular ejection fraction (HFrEF) during cardiopulmonary exercise testing (CPET) compared with no EOV (N-EOV); (ii) to identify the influence of EOV persistence (P-EOV) and EOV disappearance (D-EOV) during CPET on the outcomes of mortality and hospitalization in HFrEF patients; and (iii) to identify further predictors of mortality and hospitalization in patients with P-EOV. Methods and results Three hundred and fifteen stable HFrEF patients underwent CPET and were followed for 35 months. We identified 202 patients N-EOV and 113 patients with EOV. Patients with EOV presented more symptoms [New York Heart Association (NYHA) III: 35% vs. N-EOV 20%, P Conclusion In HFrEF patients, EOV persistence during exercise had a strong prognostic role. In P-EOV patients, V̇E/V̇CO2 ≥36 and V̇O2 peak ≤12 mLO2 kg–1 min–1 had a further additive negative prognostic role.

Published
2022

91. Mitochondrial TXNRD2 and ME3 Genetic Risk Scores Are Associated with Specific Primary Open-Angle Glaucoma Phenotypes

Author

Inas F. Aboobakar, Tyler G. Kinzy, Yan Zhao, Baojian Fan, Louis R. Pasquale, Ayub Qassim, Antonia Kolovos, Joshua M. Schmidt, Jamie E. Craig, Jessica N. Cooke Bailey, Janey L. Wiggs, R. Rand Allingham, Murray Brilliant, Donald L. Budenz, John H. Fingert, Douglas Gaasterland, Teresa Gaasterland, Jonathan L. Haines, Michael A. Hauser, Richard K. Lee, Paul R. Lichter, Yutao Liu, Syoko Moroi, Jonathan Myers, Margaret Pericak-Vance, Anthony Realini, Doug Rhee, Julia E. Richards, Robert Ritch, Joel S. Schuman, William K. Scott, Kuldev Singh, Arthur J. Sit, Douglas Vollrath, Robert N. Weinreb, Gadi Wollstein, and Donald J. Zack

Subjects
Ophthalmology
Published
2023

92. A Nonexercise Estimate of Cardiorespiratory Fitness Using a Symptom Questionnaire and Clinical Variables

Author

Jonathan, Myers, Khin, Chan, Isabelle M C, Tan, Nicholas, Bail, Shirit, Kamil-Rosenberg, Hunter, Zell, Tabbasum, Waheed, and Pooja, Mathew

Subjects
Pulmonary and Respiratory Medicine, Cardiorespiratory Fitness, Risk Factors, Surveys and Questionnaires, Rehabilitation, Exercise Test, Humans, Cardiology and Cardiovascular Medicine
Abstract

Cardiorespiratory fitness (CRF) has recently been recognized as a risk factor for mortality, but it is not routinely measured in clinical settings. The purpose of this study was to assess a nonexercise method to estimate CRF (eCRF) and its association with mortality in a clinically referred population.A symptom tool, termed the Veterans Specific Activity Questionnaire (VSAQ), and nonexercise clinical variables were obtained from 1545 clinically referred subjects (60 ± 13 yr), and followed for a mean of 5.6 ± 4.2 yr. The VSAQ along with nonexercise clinical and historical variables was used to develop a multivariate model to predict achieved CRF from maximal exercise testing. Proportional hazards analysis was used to assess the association between measured and eCRF and all-cause mortality.The eCRF model was significantly associated with achieved CRF (multiple R = 0.67, P.001). Mean achieved CRF from maximal treadmill testing and eCRF were similar (8.6 ± 5.0 metabolic equivalents [METs] vs 8.7 ± 4.7 METs respectively, P = .27). Achieved CRF and eCRF performed similarly for predicting mortality. After full adjustment, each 1 MET higher increment in achieved CRF and eCRF was associated with 19% and 26% reductions in mortality risk, respectively. Compared with the lowest fit group (5 METs), the highest CRF groups (11 METs) had 88% and 87% lower risks for mortality for achieved CRF and eCRF, respectively.A multivariable nonexercise model featuring a symptom questionnaire combined with clinical variables that are readily available during a typical clinical encounter had a reasonably strong association with achieved CRF and exhibited prognostic characteristics that were similar to achieved CRF.

Published
2022

93. InFocus: A Spatial Coding Technique to Mitigate Misfocus in Near-Field LoS Beamforming

Author

Robert W. Heath and Nitin Jonathan Myers

Subjects
Beamforming, Standards, Computer science, Phased array, Terahertz, Wireless communication, Bandwidth, Phased arrays, Electronic engineering, Wireless, Antenna arrays, Electrical and Electronic Engineering, Wideband, Center frequency, Arrays, Misfocus, business.industry, Applied Mathematics, Bandwidth (signal processing), Beam squint, spatial FMCW, Computer Science Applications, Array signal processing, Extremely high frequency, Radio frequency, business, Mm-wave, Near-field communication
Abstract

Phased arrays, commonly used in IEEE 802.11ad and 5G radios, are capable of focusing radio frequency signals in a specific direction or a spatial region. Beamforming achieves such directional or spatial concentration of signals and enables phased array-based radios to achieve high data rates. Designing beams for millimeter wave and terahertz communication using massive phased arrays, however, is challenging due to hardware constraints and the wide bandwidth in these systems. For example, beams which are optimal at the center frequency may perform poor in wideband communication systems where the radio frequencies differ substantially from the center frequency. The poor performance in such systems is due to differences in the optimal beamformers corresponding to distinct radio frequencies within the wide bandwidth. Such a mismatch leads to a misfocus effect in near-field systems and the beam squint effect in far-field systems. In this paper, we investigate the misfocus effect and propose InFocus, a low complexity technique to construct beams that are well suited for massive wideband phased arrays. The beams are constructed using a carefully designed frequency modulated waveform in the spatial dimension. InFocus mitigates beam misfocus and beam squint when applied to near-field and far-field systems.

Published
2022

94. Current state of unhealthy living characteristics in White, African American and Latinx populations

Author

Jonathan Myers, Matthew P. Harber, Lakeisha Johnson, Ross Arena, and Leonard A. Kaminsky

Subjects
Black or African American, Cardiorespiratory Fitness, Risk Factors, Humans, Obesity, Cardiology and Cardiovascular Medicine, Exercise, United States
Abstract

The United States (US) is similar to most industrialized countries in that it falls short on many of the basic metrics related to cardiovascular and overall health. These metrics include nutritional patterns, levels of physical activity (PA), cardiorespiratory fitness (CRF), and prevalence of overweight and obesity. These issues are even more apparent in underserved communities, among whom unhealthy living characteristics cluster and contribute to a disproportionate chronic disease burden. The reasons for these inequities are complex and include social and economic factors as well as reduced access to health care. CRF has been demonstrated to be a critically important risk factor that tends to be lower in disadvantaged groups. In this article we discuss the current state of healthlifestyle characteristics in the US, the impact of social inequality on health, and the particular role that CRF and PA patterns play in the current state of unhealthy living characteristics as they relate to underserved populations.

Published
2022

98. Baseline and usual cardiorespiratory fitness and the risk of chronic kidney disease: A prospective study and meta-analysis of published observational cohort studies

Author

Setor K. Kunutsor, Nzechukwu M. Isiozor, Jonathan Myers, Samuel Seidu, Kamlesh Khunti, and Jari A. Laukkanen

Subjects
Aging, Geriatrics and Gerontology
Abstract

Chronic kidney disease (CKD) is a global public health burden but is largely preventable. Few studies have reported an association between high levels of cardiorespiratory fitness (CRF) and decreased risk of CKD. However, some relevant aspects of the association, such as the dose-response relationship and the long-term relevance of CRF levels to CKD, have yet to be addressed. We, therefore, aimed to quantify the nature and magnitude of the association between CRF and CKD in a cohort of 2099 men aged 42-61 years with normal kidney function at baseline. CRF was directly measured using a respiratory gas exchange analyzer during cardiopulmonary exercise testing. Hazard ratios (HRs) (95% CIs) were estimated for the incidence of CKD. Correction for within-person variability was made using data from repeat measurements of CRF taken 11 years after baseline. A total of 197 CKD events were recorded during a median follow-up of 25.8 years. The age-adjusted regression dilution ratio for CRF was 0.59 (95% CI: 0.53-0.65). The risk of CKD decreased in a graded fashion with increasing CRF. Comparing extreme tertiles of CRF, the HR (95% CI) for CKD was 0.67 (0.46-0.97) following adjustment for several established and emerging risk factors. The corresponding adjusted HR (95% CI) was 0.51 (0.27-0.96) following correction for within-person variability. In a meta-analysis of five population-based cohort studies (including the current study) comprising 32,447 participants and 4,043 CKD cases, the fully-adjusted risk ratios (95% CIs) for CKD comparing extreme tertiles of baseline and long-term CRF values were 0.58 (0.46-0.73) and 0.40 (0.27-0.59), respectively. Findings from a new prospective study and pooled analysis of previous studies plus the new study indicate that high CRF levels are strongly and independently associated with a reduced risk of CKD and consistent with a linear dose-response relationship. Using single baseline measurements of CRF to investigate the association between CRF and CKD risk could considerably underestimate the true association.

Published
2023

99. Use of Telemedicine for Post-discharge Assessment of the Surgical Wound. International Cohort Study, and Systematic Review with Meta-analysis

Author

James, Glasbey, Issi, Trout, Victoria, Adeyeye, Adesoji, Ademuyiwa, Adewale, Adisa, Alisha, Bhatt, Bruce, Biccard, Peter, Brocklehurst, Jean De La Croix Allen Ingabire, Francis Moïse Dossou, Irani, Durán, Rohini, Dutta, Dhruva, Ghosh, Frank, Gyamfi, Pollyanna, Hardy, Gabriella, Hyman, Ritu, Jain, Bryar, Kadir, Stephen, Knight, Oluwaseun, Ladipo-Ajayi, Ismail, Lawani, Souliath, Lawani, Rachel, Lillywhite, Rhiannon, Macefield, Laura, Magill, Janet, Martin, Jonathan, Mathers, Kenneth, Mclean, Punam, Mistry, Rohin, Mittal, Rachel, Moore, Dion, Morton, Faustin, Ntirenganya, Emmanuel, Ofori, Rupert, Pearse, Alberto, Peón, Thomas, Pinkney, Antonio Ramos de la Medina, Tubasiime, Ronald, David, Roman, Joana, Simoes, Anita, Slade, Stephen, Tabiri, Donna, Smith, Ewen, Harrison, Aneel, Bhangu, Azmina, Verjee, Emmy, Runigamugabo, Adesoji, O Ademuyiwa, Adewale, O Adisa, Maria Lorena Aguilera, Afnan, Altamini, Philip, Alexander, Sara, W Al-Saqqa, Giuliano, Borda-Luque, Jen, Cornick, Ainhoa, Costas-Chavarri, Thomas, M Drake, Stuart, J Fergusson, J Edward Fitzgerald, C Allen Ingabire, J, Lawani, Ismaïl, Zahra, Jaffry, Hosni Khairy Salem, Chetan, Khatri, Andrew, Kirby, Anyomih Theophilus Teddy Kojo, Marie Carmela Lapitan, Richard, Lilford, Andre, L Mihaljevic, Midhun, Mohan, Alphonse Zeta Mutabazi, Dmitri, Nepogodiev, Riinu, Ots, Pata, Francesco, Tomas, Poškus, Ahmad Uzair Qureshi, Antonio Ramos-De la Medina, Sarah, Rayne, Gustavo, Recinos, Kjetil, Søreide, Catherine, A Shaw, Sebastian, Shu, Richard, Spence, Neil, Smart, Ewen, M Harrison, Maria Marta Modolo, Dushyant, Iyer, Sebastian, King, Tom, Arthur, Sayeda Nazmum Nahar, Ade, Waterman, Michael, Walsh, Arnav, Agarwal, Zani, Augusto, Mohammed, Firdouse, Tyler, Rouse, Qinyang, Liu, Juan Camilo Correa, Peep, Talving, Mengistu, Worku, Alexis, Arnaud, Vassilis, Kalles, Basant, Kumar, Sunil, Kumar, Radhian, Amandito, Roy, Quek, Luca, Ansaloni, Ahmed, Altibi, Donatas, Venskutonis, Justas, Zilinskas, Tomas, Poskus, John, Whitaker, Vanessa, Msosa, Yong Yong Tew, Alexia, Farrugia, Elaine, Borg, Zineb, Bentounsi, Tanzeela, Gala, Ibrahim, Al-Slaibi, Haya, Tahboub, Osaid, H Alser, Diego, Romani, Sebestian, Shu, Piotr, Major, Aurel, Mironescu, Matei, Bratu, Amar, Kourdouli, Aliyu, Ndajiwo, Abdulaziz, Altwijri, Mohammed Ubaid Alsaggaf, Ahmad, Gudal, Al Faifi Jubran, Sam, Seisay, Bettina, Lieske, Irene, Ortega, Jenifa, Jeyakumar, Kithsiri, J Senanayake, Omar, Abdulbagi, Yucel Cengiz Dmitri Raptis, Yuksel, Altinel, Chia, Kong, Ella, Teasdale, Gareth, Irwin, Michael, Stoddart, Rakan, Kabariti, Sukrit, Suresh, Katherine, Gash, Ragavan, Narayanan, Mayaba, Maimbo, Besmir, Grizhja, Shpetim, Ymeri, Gezim, Galiqi, Roberto, Klappenbach, Diego, Antezana, Alvaro Enrique Mendoza Beleño, Cecilia, Costa, Belen, Sanchez, Susan, Aviles, Claudio Gabriel Fermani, Rubén, Balmaceda, Santiago, Villalobos, Juan Manuel Carmona, Daniel, Hamill, Peter, Deutschmann, Simone, Sandler, Daniel, Cox, Ram, Nataraja, Claire, Sharpin, Damir, Ljuhar, Demi, Gray, Morgan, Haines, Morvarid, Ashtari, Helena, Franco, Ashrarur Rahman Mitul, Sabbir, Karim, Nowrin, F Aman, Mahnuma Mahfuz Estee, Salma, UMM-E, Joyeta, Razzaque, Tasnia Hamid Kanta, Sayeeda Aktar Tori, Shadid, Alamin, Swapnil, Roy, Shadid Al Amin, Rezaul, Karim, Muhtarima, Haque, Amreen, Faruq, Farhana, Iftekhar, Margaret, O'Shea, Greg, Padmore, Ramesh, Jonnalagadda, Andrey, Litvin, Aliaksandr, Filatau, Dzmitry, Paulouski, Maryna, Shubianok, Tatsiana, Shachykava, Dzianis, Khokha, Vladimir, Khokha, Fernande, Djivoh, Francis, Dossou, Djifid Morel Seto, Dansou Gaspard Gbessi, Bruno, Noukpozounkou, Yacoubou Imorou Souaibou, Kpèmahouton René Keke, Fred, Hodonou, Ernest Yemalin Stephane Ahounou, Thierry, Alihonou, Max, Dénakpo, Germain, Ahlonsou, Alemayehu Ginbo Bedada, Carlos, Nsengiyumva, Sandrine, Kwizera, Venerand, Barendegere, Philip, Choi, Simon, Stock, Luai, Jamal, Georges, Azzie, Sameer, Kushwaha, Tzu-Ling, Chen, Chingwan, Yip, Irene, Montes, Felipe, Zapata, Sebastian, Sierra, Maria Isabel Villegas Lanau, Maria Clara Mendoza Arango, Ivan Mendoza Restrepo, Ruben Santiago Restrepo Giraldo, Edgar, Domini, Robert, Karlo, Jakov, Mihanovic, Mohamed, Youssef, Hossam, Elfeki, Waleed, Thabet, Aly, Sanad, Gehad, Tawfik, Ahmed, Zaki, Noran, Abdel-Hameed, Mohamed, Mostafa, Muhammad Fathi Waleed Omar, Ahmed, Ghanem, Emad, Abdallah, Adel, Denewar, Eman, Emara, Eman, Rashad, Ahmad, Sakr, Rehab, Elashry, Sameh, Emile, Toqa, Khafagy, Sara, Elhamouly, Arwa, Elfarargy, Amna Mamdouh Mohamed, Ghada Saied Nagy, Abeer, Esam, Eman, Elwy, Aya, Hammad, Salwa, Khallaf, Eman, Ibrahim, Ahmed, Saidbadr, Ahmed, Moustafa, Amany Eldosouky Mohammed, Mohammed, Elgheriany, Eman, Abdelmageed, Eman Abd Al Raouf, Esraa Samir Elbanby, Maha, Elmasry, Mahitab Morsy Farahat, Eman Yahya Mansor, Eman Magdy Hegazy, Esraa, Gamal, Heba, Gamal, Hend, Kandil, Doaa Maher Abdelrouf, Mohamed, Moaty, Dina, Gamal, Nada, El-Sagheer, Mohamed, Salah, Salma, Magdy, Asmaa, Salah, Ahmed, Essam, Ahmed, Ali, 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Basma, Ali Mahmoud, Mohamed, Qenawy, Mostafa, M Rashed, Ahmed, Dahy, Ahmed, Sayed, Marwa, W Shamsedine, Ahmed, Mohamed, Bakeer, Hasan, Ahmad, M Saad, Mahmoud, Abdul Bassit, Khalil, Khalid Abd El-Latif, Nadia, Elzahed, Nada, El Kashash, Ahmed, Mohamed Bekhet, Nada, Hafez, Sarah, Gad, Ahmed, Elkhadragy Maher, Mahmoud, Abd Elsameea, Ahmed, Hafez, Mohamed, Sabe, Ahmad, Ahmed, Ataa, Shahine, Ahmed, Dawood, Khaled, Gaafar, Shireen, Husseiny, Reem, Aboelmagd, Omnia, Soliman, Ahmed, Mesbah, Nourhan, Emadeldin, Hossam, Al Meligy, Amgad, Hassan Bekhet, Amira, Hasan, Doaa, Alhady, Khaled, Khaled Sabe, Ahmad, A Elnajjar, Mahmoud, Aboelella, Majed, Hamsho, Ward, Hassan, Ihab, Saad, Hala, Abdelazim, Galaleldin, Mahmoud, Hend, Wael, Noha, M Kandil, Ahmedali, Magdy, Ahmed, Said Elkholy, Shimaa, Eldin Adel, Badr, Dabbour, Kareem, Elsherbiney, Saged, Mattar, Omar, Khaled Abdrabou, Abdulshafi, Yahia Mohamed Aly, Mohammed, Geuoshy, Abdelrahman, Elnagar, Ahmedglal, Ahmed, Saraibrahim, Abdelmotaleb, 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Dieudonne, Jovine, Elio, Zanini, Nicola, Landolfo, Giovanni, Aljiffry, Murad, Idris, Faisal, A Alghamdi, Mohammed Saleh, Maghrabi, Ashraf, Altaf, Abdulmalik, Alkaaki, Aroub, Khoja, Ahmad, Nawawi, Abrar, Turkustani, Sondo, Khalifah, Eyad, Albiety, Adel, Sahel, Sarah, Alshareef, Reham, Najjar, Mohammed, Alzahrani, Ahmed, Alghamdi, Ahmed, Alhazmi, Wedyan, Al Saied, Ghiath, Alamoudi, Mohammed, Masood Ria, Muhammed, Hassanain, Mazen, Alhassan, Basmah, Altamimi, Abdullah, Alyahya, Reem, Al Subaie, Norah, Al Bastawis, Fatema, Altamimi, Afnan, Nouh, Thamer, Khan, Roaa, Radojkovic, Milan, Jeremic, Ljiljana, Nestorovic, Milica, Hao Law, Jia, Say Kwang Tan, Keith, Choon Kiat Tan, Ryan, Kin Tan, Joel, Wen Liang Joel, Lau, Wei Chan, Xue, Qi Hui Leong, Faith, Seng Chong, Choon, Koh, Sharon, Yin Lee, Kai, Chung Lee, Kuok, Pluke, Kent, Dedekind, Britta, Nashidengo, Puyearashid, Ian Hampton, Mark, Joosten, Johanna, Sobnach, Sanju, Roodt, Liana, Sander, Anthony, Pape, Jame, Maistry, Niveshni, Ndwambi, Phumudzo, Kinandu, Kamau, Tun, Myint, Du Toit, Frederick, Ellison, Quinn, Burger, Sule, C Grobler, D, Bongani Khulu, Lawrence, Jennings, Vicky, Leusink, Astrid, Kariem, Nazmie, Gouws, Juan, Chu, Kathryn, Bougard, Heather, Noor, Fazlin, Dell, Angela, Van Straten, Stephanie, Khamajeet, Arvin, Kapenda Tshisola, Serge, Kabongo, Kalangu, Kong, Victor, Moodley, Yoshan, Anderson, Frank, Madiba, Thandinkosi, du Plooy, Flip, Hartford, Leila, Chilton, Gareth, Karjiker, Parveen, Ernest Mabitsela, Matlou, Ruth Ndlovu, Sibongile, Badicel, Maria, Jaich, Robert, Ruiz-Tovar, Jaime, Garcia-Florez, Lui, L Otero-Díez, Jorge, Ramos Pérez, Virginia, Aguado Suárez, Nuria, Minguez García, Javier, Corral Moreno, Sara, Vicenta Collado, Maria, Jiménez Carneros, Virginia, García Septiem, Javier, Gonzalez, Mariana, Picardo, Antonio, Esteban, Enrique, Ferrero, Esther, Espin-Basany, Eloy, Blanco-Colino, Ruth, Andriola, Valeria, Solar García, Lorena, Contreras, Elisa, García Bernardo, Carmen, Pagnozzi, Janet, Sanz, Sandra, Miyar de León, Alberto, Dorismé, Asnel, Rodicio, Joselui, Suarez, Aida, Stuva, Jessica, Diaz Vico, Tamara, Fernandez-Vega, Laura, Soldevila-Verdeguer, Carla, Sena-Ruiz, Fatima, Pujol-Cano, Natalia, Diaz-Jover, Paula, Maria Garcia-Perez, José, Jose Segura-Sampedro, Juan, Pineño-Flores, Cristina, Ambrona-Zafra, David, Craus-Miguel, Andrea, Jimenez-Morillas, Patricia, Mazzella, Angela, B Jayathilake, A, B Thalgaspitiya, S P, S Wijayarathna, L, N Wimalge, P M S, Ayomi Sanni, Hakeem, Okenabirhie, Ogheneochuko, Homeida, Anmar, Younis, Abobaker, Abdelbagi Omer, Omer, Abdulaziz, Mustafa, Mussad, Ali, Adam, Ali, Cengiz, Yucel, Björklund, Ida, Ahlqvist, Sandra, Thorell, Ander, Wogensen, Fredrik, Sokratous, Aresti, Breistrand, Michaela, Thorarinsdottir, Hildur, Sigurdadottir, Johanna, Nikberg, Maziar, Chabok, Abba, Hjertberg, Maria, Elbe, Peter, Saraste, Deborah, Rutkowski, Wiktor, Forlin, Louise, Niska, Karoliina, Sund, Malin, Oswald, Denni, Peros, Georgio, Bluelle, Rafael, Reinisch, Katharina, Frey, Daniel, Palma, Adrian, Aristotle Raptis, Dimitri, Zumbühl, Luciu, Zuber, Marku, Schmid, Roger, Werder, Gabriela, Nocito, Antonio, Gerosa, Alexandra, Mahanty, Silke, Werner Widmer, Luka, Müller, Julia, Gübeli, Alissa, Zuk, Grzegorz, Bilgin Gulcicek, Osman, Vartanoglu, Talar, Kose, Emin, Rustu Karahan, Servet, Can Aydin, Mehmet, Alper Sahbaz, Nuri, Halicioglu, Ilkay, Alis, Halil, Sapci, Ipek, Adıyaman, Can, Murat Pektaş, Ahmet, Bora Cengiz, Turgut, Tansoker, Ilkan, Işler, Vedatcan, Cevik, Muazzez, Mutlu, Deniz, Ozben, Volkan, Baris Ozmen, Berk, Bayram, Sefa, Yolcu, Sinem, Buse Kobal, Berna, Faruk Toto, Ömer, Cem Çakaloğlu, Haluk, Karabulut, Kagan, Mutlu, Vahit, Busra Ozkan, Bahar, Celik, Saban, Semiz, Anil, Bodur, Selim, Gül, Enisburak, Murutoglu, Busra, Yildirim, Reyyan, Emre Baki, Bahadir, Arslan, Ekin, Ulusahin, Mehmet, Guner, Ali, Walker, Nathan, Shrimanker, Nikhita, Cole, Simon, Breslin, Ryan, Srinivasan, Ravi, Elshaer, Mohamed, Hunter, Kristina, Al-Bahrani, Ahmed, Liew, Ignatiu, Grace Mairs, Nora, Rocke, Alistair, Dick, Lachlan, Qureshi, Mobeen, Chowdhury, Debkumar, Wright, Naomi, Skerritt, Clare, Kufeji, Dorothy, Ho, Adrienne, Dissanayake, Tharindra, Tennakoon, Athula, Ali, Wadah, Jane Lim, Shujing, Tan, Charlene, O'Neill, Stephen, Jones, Catrin, Nassif, Dima, Sharma, Abhishek, Warren, Oliver, White, Rebecca, Mehdi, Aia, Post, Nathan, Kalakouti, Eliana, Dashnyam, Enkhbat, Stourton, Frederick, Mykoniatis, Ioanni, Currow, Chelise, Wong, Francisca, Gupta, Ashish, Shatkar, Veeranna, Luck, Joshua, Kadiwar, Suraj, Smedley, Alexander, Wakefield, Rebecca, Herrod, Philip, Blackwell, Jame, Lund, Jonathan, Cohen, Fraser, Bandi, Ashwath, Giuliani, Stefano, Bond-Smith, Gile, Pezas, Theodore, Farhangmehr, Neda, Urbonas, Toma, Perenyei, Miklo, Ireland, Philip, Blencowe, Natalie, Bowling, Kirk, Bunting, David, Longstaff, Lydia, Keogh, Kenneth, Jeon, Hyunjin, Rafaih Iqbal, Muhammad, Khosla, Shivun, Jeffery, Anna, Perera, Jame, Aboelkassem Ibrahem, Ahmad, Alhammali, Tariq, Salama, Yahya, Oram, Shaun, Kidd, Thoma, Cullen, Fraser, Owen, Christopher, Wilson, Michael, Chiu, Seehui, Sarafilovi, Hannah, Ploski, Jennifer, Evans, Elizabeth, Abbas, Athar, Kamya, Sylvia, Ishak, Norzawani, Bisset, Carly, Andress, Cedar, Ru Chin, Ye, Patel, Priya, Evans, David, Haslegrave, Aidan, Boggon, Adam, Laurie, Kirsten, Connor, Katie, Mann, Thoma, Mansuri, Anahita, Davies, Rachel, Griffiths, Ewen, Raza Shahbaz, Aized, Eng, Calvin, Din, Farhat, L'Heveder, Ariadne, G Park, Esther H, Ravishankar, Ramanish, Mcintosh, Kirsten, Dar Yau, Jih, Chan, Luke, Mcgarvie, Susan, Tang, Lingshan, Lim, Hui, Yap, Suhhuey, Park, Jay, Herr Ng, Zhan, Mirza, Shahrukh, Lin Ang, Yun, Walls, Luke, Roy, Chloe, Paterson-Brown, Simon, Camilleri-Brennan, Julian, S D'Souza, Michelle, Pronin, Savva, Ewart Henshall, David, Zuling Ter, Eunice, Fouad, Dina, Minocha, Ashish, English, William, Morgan, Catrin, Townsend, Dominic, Maciejec, Laura, Mahdi, Shareef, Akpenyi, Onyinye, Hall, Elisabeth, Caydiid, Hanaan, Rob, Zakaria, Abbott, Tom, D Torrance, Hew, Johnston, Robin, Akil Gani, Mohammed, Gravante, Gianpiero, Rajmohan, Shivanchan, Majid, Kiran, Dindyal, Shiva, Smith, Christopher, Palliyil, Madanmohan, Patel, Sanjay, Nicholson, Luke, Harvey, Neil, Baillie, Katie, Shillito, Sam, Kershaw, Suzanne, Bamford, Rebecca, Orton, Peter, Reunis, Elke, Tyler, Robert, Cheong Soon, Wai, M Jama, Guled, Dhillon, Dharminder, Pate, Khyati, Nanthakumaran, Shayanthan, Heard, Rachel, Yan Chen, Kar, Barmayehvar, Behrad, Datta, Uttaran, K Kamarajah, Sivesh, Karandikar, Sharad, Iftekhar Tani, Sobhana, Monaghan, Eimear, Donnelly, Philippa, Walker, Michael, Parakh, Jehangirshaw, Blacker, Sarah, Kaul, Anil, Paramasivan, Arjun, Farag, Sameh, Nessa, Ashrafun, Awadallah, Salwa, Lim, Jieqi, Chean Khun Ng, Jame, P Kiran, Ravi, Murray, Alice, Etchill, Eric, Dasari, Mohini, Puyana, Juan, Haddad, Nadeem, Zielinski, Martin, Choudhry, Asad, Caliman, Celeste, Beamon, Mieshia, Duane, Therese, Swaroop, Mamta, Myers, Jonathan, Deal, Rebecca, Schadde, Erik, Hemmila, Mark, Napolitano, Lena, To, Kathleen, Makupe, Alex, Musowoya, Joseph, Van Der Naald, Niel, Kumwenda, Dayson, Reece-Smith, Alex, Otten, Kar, Verbeek, Anna, Prins, Marloe, Andres Baquero Suarez, Alibeth, Balmaceda, Ruben, Deane, Chelsea, Dijan, Emilio, Elfiky, Mahmoud, Koskenvuo, Laura, Thollot, Aurore, Limoges, Bernard, Capito, Carmen, Alexandre, Challine, Kotobi, Henri, Leroux, Julien, Pinnagoda, Kalitha, Henric, Nicola, Azzis, Olivier, Rosello, Olivier, Francois, Poddevin, Etienne, Sara, Buisson, Philippe, Hmila, Sophian, Clegg-Lamptey, Joe-Nat, Imoro, Osman, Emmanuel Abem, Owusu, Papageorgiou, Dimitrio, Soulou, Vasiliki, Asturias, Sabrina, Peña, Lenin, B O'Connor, Donal, Realis Luc, Alberto, Alessandro Russo, Alfio, Ruzzenente, Andrea, Taddei, Antonio, Cona, Camilla, Bottini, Corrado, Pascale, Giovanni, Rotunno, Giuseppe, Solaini, Leonardo, Maria Pascale, Marco, Notarnicola, Margherita, Corbellino, Mario, Sacco, Michele, Ubiali, Paolo, Cautiero, Roberto, Bocchetti, Tommaso, Muzio, Elena, Guglielmo, Vania, Morandi, Eugenio, Mao, Patrizio, De Luca, Emilia, Mahmoud Ali, Farah, Žilinskas, Justa, Strupas, Kestuti, Kondrotas, Pauliu, Baltrunas, Roberta, Kutkevicius, Juoza, Ignatavicius, Povila, Ling Tan, Choy, Yng Siaw, Jia, Young Yam, Sir, Wilson, Ling, Rezal Abdul Aziz, Mohamed, Bondin, John, Diaz Zorrilla, Carmina, Majbar, Ana, Sale, Danjuma, Abdullahi, Lawal, Osagie, Olabisi, Faboya, Omolara, Fatuga, Adedeji, Taiwo, Agboola, Nwabuoku, Emeka, Bliksøen, Marte, Ali Khan, Zain, Coronel, Jazmin, Miranda, Cesar, Vasquez, Idelso, M Helguero-Santin, Lui, Rickard, Jennifer, Adedeji, Adesina, Alqahtani, Saleh, Rath, Max, Van Niekerk, Michael, Zacharia Koto, Modise, Matos-Puig, Roel, Israelsson, Leif, Schuetz, Tobia, Arif Yuksek, Mahmut, Mericliler, Meric, Uluşahi, Mehmet, Wolf, Bernhard, Fairfield, Cameron, Liang Yong, Guo, Whitehurst, Katharine, Redgrave, Natalie, K Musyoka, Caroluce, Olivier, Jame, Lee, Kathryn, Cox, Michael, H Farhan-Alanie, Muhamed M, Callan, Rory, Chibuye, Chali, Hassanein Ahmed Ali, Tebian, Rekhis, Syrine, Rommaneh, Muna, Hao Sam, Zi, Hong Chieh Chen, Jacky, Roi, Dylan, Brunelli Pugliesi, Thay, Pardo, Gabriel, Blanco, Ruth, and Grasset Escobar, Eugenio

Subjects
surgical site infection , surgical complications , global surgery , global health , research methodology , outcome assessment, surgical wound, Surgery, telemedicine, postdischarge
Abstract

Objective: This study aimed to determine whether remote wound reviews using telemedicine can be safely upscaled, and if standardised assessment tools are needed. Summary background data: Surgical site infection is the most common complication of surgery worldwide, and frequently occurs after hospital discharge. Evidence to support implementation of telemedicine during postoperative recovery will be an essential component of pandemic recovery. Methods: The primary outcome of this study was surgical site infection reported up to 30-days after surgery (SSI), comparing rates reported using telemedicine (telephone and/or video assessment) to those with in-person review. The first part of this study analysed primary data from an international cohort study of adult patients undergoing abdominal surgery who were discharged from hospital before 30-days after surgery. The second part combined this data with the results of a systematic review to perform a meta-analysis of all available data conducted in accordance with PRIMSA guidelines (PROSPERO:192596). Results: The cohort study included 15,358 patients from 66 countries (8069 high, 4448 middle, 1744 low income). Of these, 6907 (45.0%) were followed up using telemedicine. The SSI rate reported using telemedicine was slightly lower than with in-person follow-up (13.4% vs. 11.1%, P

Published
2023

100. allodb : An R package for biomass estimation at globally distributed extratropical forest plots

Author

David A. Orwig, Patrick A. Jansen, Alejandra I. Huerta, Amy Wolf, Tonghui Yang, Jonathan Myers, James A. Lutz, Jennifer L. Baltzer, Christopher W. Dick, Xugao Wang, Valentine Herrmann, Gregory S. Gilbert, Erika Gonzalez-Akre, Kristina J. Anderson-Teixeira, Dunmei Lin, Fangliang He, Sabrina E. Russo, Jessica Shue, Sean M. McMahon, Camille Piponiot, Michael Heym, Diego I. Rodríguez-Hernández, Mauro Lepore, Yadvinder Malhi, Kamil Král, Nikolai Knapp, Stuart J. Davies, and Daniel J. Johnson

Subjects
Estimation, Biomass (ecology), tree biomass, Ecological Modeling, Tree allometry, extratropics, Temperate forest, Forest Global Earth Observatory (ForestGEO), PE&RC, forest carbon storage, tree allometry, Atmospheric sciences, R package, Wildlife Ecology and Conservation, temperate forest, Extratropical cyclone, Forest plot, Environmental science, Ecology, Evolution, Behavior and Systematics, above-ground biomass
Abstract

Allometric equations for calculation of tree above-ground biomass (AGB) form the basis for estimates of forest carbon storage and exchange with the atmosphere. While standard models exist to calculate forest biomass across the tropics, we lack a standardized tool for computing AGB across boreal and temperate regions that comprise the global extratropics. Here we present an integrated R package, allodb, containing systematically selected published allometric equations and proposed functions to compute AGB. The data component of the package is based on 701 woody species identified at 24 large Forest Global Earth Observatory (ForestGEO) forest dynamics plots representing a wide diversity of extratropical forests. A total of 570 parsed allometric equations to estimate individual tree biomass were retrieved, checked and combined using a weighting function designed to ensure optimal equation selection over the full tree size range with smooth transitions across equations. The equation dataset can be customized with built-in functions that subset the original dataset and add new equations. Although equations were curated based on a limited set of forest communities and number of species, this resource is appropriate for large portions of the global extratropics and can easily be expanded to cover novel forest types.

Published
2021

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