Search

Your search keyword '"Joseph, Lee"' showing total 1,950 results
Start Over Author "Joseph, Lee"

Refine your results

more »

more »

more »

more »

more »

more »

more »
1,950 results on '"Joseph, Lee"'

152. Introduction

Author

Miller, Warren B., Rodgers, Joseph Lee, Miller, Warren B., and Rodgers, Joseph Lee

Published
2001
Full Text
View/download PDF

155. Thinking outside the Ring of Concussive Punches: Reimagining Boxing

Author

Joseph Lee

Subjects
Philosophy, Engineering, Ring (mathematics), ComputingMethodologies_PATTERNRECOGNITION, business.industry, Human–computer interaction, Robot, Physical Therapy, Sports Therapy and Rehabilitation, Robotics, Artificial intelligence, business, GeneralLiterature_MISCELLANEOUS
Abstract

The idea of human-like robots with artificial intelligence (AI) engaging in sports has been considered in the light of robotics, technology and culture. However, robots with AI can also be used to ...

Published
2021

156. The Evolution of the Monstrous: An Interview with Bong Joon-ho

Author

Angelique Acuna, Joseph Lee, and Din Dinso

Subjects
GeneralLiterature_MISCELLANEOUS, ComputingMilieux_MISCELLANEOUS
Abstract

Academy award-winning Director Bong Joon-ho has captivated the global audience with compelling takes on the concept of the monstrous. From his earliest film, Barking Dogs Never Bite (2000), to his most recent Best Picture Winner Parasite (2019), each of his films explores personal and intimate experiences in monstrous societies. Bong Joon-ho speaks about his most personal works while examining his success of The Host (2006) and how this shifted perspectives on the monster movie genre in South Korea. Additionally, Bong discusses his creative process and future works with upcoming adaptations of his beloved films.

Published
2021

157. Mapping an Investor Protection Framework for the Security Token Offering Market: A Comparative Analysis of UK and German Law

Author

Joseph Lee and Doreen Geidel

Subjects
German, language, Investor protection, Business, Security token, language.human_language, Law and economics
Abstract

建構證券型代幣發行（STO）市場的法律及規範性框架，係創造投資人信心的關鍵。英國金融行為監理局（FCA）現行有關首次公開發行（IPO）市場之法規範，經評估可適用於STO市場，以消弭投資人與發行人間之不對稱，並促進其使用金融服務。英國的公司法，則作為辨認投資人經濟（現金流）及政治（治理）權存在風險與否之架構。英國法之比較法分析，可提供藉由發展智慧合約以實行STO並落實投資人權利之指引。再者，德國法之比較法分析結果顯示，風險不只僅存在於特定國家之資本市場或公司法規範，其他法律體系亦尚未充分辨認許多風險之態樣，也未將之納入現行立法項目之考量。最後，本文檢視投資人之資料權，並主張資料權應同時作為經濟及政治上之權利，故資料紅利應被分派予證券型代幣之持有者，且資料治理上應確保中心化管理不會有獨占資訊而影響代幣持有者決策之情形。Embedding securities token offering (STO) within a law and a regulatory framework is critical for its market to develop with investor confidence. The UK’s Financial Conduct Authority (FCA) current laws and regulations, which were designed for the initial public offering (IPO) market, are assessed for suitability in an STO market that aims to bring investors closer to issuers and to increase access to finance. UK Company law is then used as a framework to identify risks to investors’ economic (cash flow) and political (governance) rights. The analysis provides guidance for developing smart contracts to implement STO and fulfilling investors’ rights. Furthermore, a comparative analysis with German law shows that although the risks do not only exist in country-specific capital market or company law regulations, other legal systems have neither sufficiently identified many of the risks nor taken them into account in current legislative projects. Finally, the author examines investor’s data rights and argues that they should be recognised as both an economic and a political right. Data dividends should be distributed to security token holders and data governance should ensure that centralised management does not monopolise information to influence token holders’ decision making.

Published
2021

158. To Scan or Not to Scan: Development of a Clinical Decision Support Tool to Determine if Imaging Would Aid in the Diagnosis of Appendicitis

Author

Elizabeth McMillan, Scott F. Grey, Rathnayaka M K D Gunasingha, Eric A. Elster, Joseph Lee, Desiree Unselt, Seth Schobel, Matthew J. Bradley, Casey Erwin, Beau Munoz, and Thomas Irons

Subjects
medicine.medical_specialty, Receiver operating characteristic, business.industry, Gold standard (test), medicine.disease, Clinical decision support system, Appendicitis, Random forest, Support vector machine, Alvarado score, Chart review, medicine, Surgery, Radiology, business
Abstract

Appendicitis is one of the most common surgically treated diseases in the world. CT scans are often over-utilized and ordered before a surgeon has evaluated the patient. Our aim was to develop a tool using machine learning (ML) algorithms that would help determine if there would be benefit in obtaining a CT scan prior to surgeon consultation. Retrospective chart review of 100 randomly selected cases who underwent appendectomy and 100 randomly selected controls was completed. Variables included components of the patient’s history, laboratory values, CT readings, and pathology. Pathology was used as the gold standard for appendicitis diagnosis. All variables were then used to build the ML algorithms. Random Forest (RF), Support Vector Machine (SVM), and Bayesian Network Classifiers (BNC) models with and without CT scan results were trained and compared to CT scan results alone and the Alvarado score using area under the Receiver Operator Curve (ROC), sensitivity, and specificity measures as well as calibration indices from 500 bootstrapped samples. Among the cases that underwent appendectomy, 88% had pathology-confirmed appendicitis. All the ML algorithms had better sensitivity, specificity, and ROC than the Alvarado score. SVM with and without CT had the best indices and could predict if imaging would aid in appendicitis diagnosis. This study demonstrated that SVM with and without CT results can be used for selective imaging in the diagnosis of appendicitis. This study serves as the initial step and proof-of-concept to externally validate these results with larger and more diverse patient population.

Published
2021

159. Unstructured Socializing With Peers and Delinquency: The Role of Mediation Through the Lens of Akers’ (1998) Social Structure Social Learning Theory of Crime and Deviance

Author

Jamie L. Flexon and Robert Joseph Lee Archer

Subjects
Mediation (Marxist theory and media studies), Differential association, Socialization, Juvenile delinquency, Social learning, Psychology, Law, Social learning theory, Social psychology, Deviance (sociology), Structural equation modeling
Abstract

In purview of Akers’ (1998) social structure and social learning (SSSL) theory of crime and deviance, this study explicates the varied processes by which unstructured socializing with peers influences deviance through variables of social learning theory as well as self-control. To examine the proposed processes, data were obtained from 1,354 adjudicated adolescents between the ages of 14 and 18 from the juvenile and adult court systems in Maricopa County, Arizona and Philadelphia County, Pennsylvania. Through use of structural equation modeling, partial support was found for the relationship between unstructured socializing with peers and deviance being partially mediated by differential association, definitions, personal rewards of crime, as well as self-control. By better understanding the multifaceted ways adolescents who spend time in settings of unstructured socializing with friends engage in delinquency, society can better understand the leading factors among youth that occur through socialization resulting in delinquency.

Published
2021

163. Methodological Issues Associated with Studying the Flynn Effect: Exploratory and Confirmatory Efforts in the Past, Present, and Future

Author

Joseph Lee Rodgers

Subjects
Flynn Effect, methodology, exploratory analysis, confirmatory analysis, Social sciences (General), H1-99
Abstract

This essay, written by the guest editor, is an introduction to a special issue of the Journal of Intelligence devoted to methodological issues associated with the Flynn Effect. The essay evaluates past Flynn Effect research in terms of exploratory versus confirmatory efforts. Future research is also cast within this same framework. Finally, the four special issue papers are briefly reviewed, including comments on their own exploratory/confirmatory status.

Published
2015
Full Text
View/download PDF

164. Renormalisation of the 3D SU(N) scalar energy-momentum tensor using the Wilson flow

Author

Joseph Lee, Elizabeth Dobson, Andreas Juttner, Ben Kitching-Morley, Valentin Nourry, Antonin Portelli, Henrique Bergallo Rocha, Kostas Skenderis, Luigi Del Debbio, AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)

Subjects
High Energy Physics - Theory, cosmological model, dimension: 3, High Energy Physics::Lattice, hep-lat, FOS: Physical sciences, flow: Wilson, renormalization, High Energy Physics - Lattice, mixing, correlation function, cosmic background radiation: power spectrum, numerical calculations, lattice, SU(N), [PHYS.HLAT]Physics [physics]/High Energy Physics - Lattice [hep-lat], [PHYS.HTHE]Physics [physics]/High Energy Physics - Theory [hep-th], hep-th, High Energy Physics - Lattice (hep-lat), field theory: nonperturbative, Particle Physics - Lattice, High Energy Physics - Theory (hep-th), tensor: energy-momentum, duality, holography, Particle Physics - Theory
Abstract

In the holographic approach to cosmology, cosmological observables are described in terms of correlators of a three-dimensional boundary quantum field theory. As a concrete model, we study the $3D$ massless $SU(N)$ scalar matrix field theory with a $\phi^4$ interaction. On the lattice, the energy-momentum tensor (EMT) in this theory can mix with the operator $\phi^2$. We utilize the Wilson Flow to renormalize the EMT on the lattice, and present numerical results for the mixing coefficient for $N = 2$. Obtaining the renormalized EMT will allow us to make predictions for the CMB power spectra in the regime where the dual QFT is non-perturbative., Comment: 10 pages, 3 figures, presented at the 38th International Symposium on Lattice Field Theory - LATTICE2021 - 26-30 July, 2021, Massachusetts Institute of Technology

Published
2022

165. Environmental Constructs Associated with School Readiness to Implement Wellness Initiatives

Author

Emily Jones, Megan Weemer, Joseph Lee, Andrew Eberline, and Tyler Kybartas

Subjects
Health (social science), Health Policy, Public Health, Environmental and Occupational Health
Abstract

Objective: In this study, we examined school and environmental factors associated with readiness to implement school-based wellness initiatives. Methods: We used an exploratory mixed methods design to assess facilitators and barriers to school wellness policy implementation. We conducted school site visits in 8 K-12 schools in one midwestern school district. We collected quantitative and qualitative data to measure school wellness environments and readiness for change. We used a one-way ANOVA to examine associations between readiness for change and school wellness environments. We analyzed qualitative data inductively; school- and district-level themes emerged. Results: One-way ANOVA results revealed schools in the high readiness (HR) group reported more active school wellness teams than those in the low readiness (LR) group (F(1,6) = 8.442, p = .03). Qualitative data indicated that establishing local school wellness committees was an area of growth needed for all schools. Areas of need in HR schools included enhancing school wellness policy communication, leadership, and staff wellness initiatives. Areas of need in LR schools focused on providing more physical activity and wellness opportunities for students. Conclusion: Readiness for change is a promising metric that could associate with more physical activity opportunities, better wellness team function, and perhaps, wellness policy implementation.

Published
2022

169. whoishRisk – an R package to calculate WHO/ISH cardiovascular risk scores for all epidemiological subregions of the world [version 2; referees: 3 approved]

Author

Dylan Collins, Joseph Lee, Niklas Bobrovitz, Constantinos Koshiaris, Alison Ward, and Carl Heneghan

Subjects
Software Tool Article, Articles, Bioinformatics, Methods of Clinical Decision-Making, WHO/ISH, Cardiovascular Risk Charts, Risk Score, R
Abstract

The World Health Organisation and International Society of Hypertension (WHO/ISH) cardiovascular disease (CVD) risk assessment charts have been implemented in many low- and middle-income countries as part of the WHO Package of Essential Non-Communicable Disease (PEN) Interventions for Primary Health Care in Low-Resource settings. Evaluation of the WHO/ISH cardiovascular risk charts and their use is a key priority and since they only existed in paper or PDF formats, we developed an R implementation of the charts for all epidemiological subregions of the world. The main strengths of this implementation are that it is built in a free, open-source, coding language with simple syntax, can be downloaded from github as a package (“whoishRisk”), and can be used with a standard computer.

Published
2017
Full Text
View/download PDF

170. Better than we thought? The diagnostic performance of an influenza point-of-care test in children, a Bayesian re-analysis [version 1; referees: 1 approved with reservations, 1 not approved]

Author

Joseph Lee

Subjects
Research Article, Articles, Methods for Diagnostic & Therapeutic Studies, Statistical Methodologies & Health Informatics, Viral Infections (without HIV), Bayesian latent class models, influenza, diagnostic accuracy, point-of-care test, near-patient test, primary care, paediatrics
Abstract

Background: Point-of-care tests (POCTs) for influenza have been criticised for their diagnostic accuracy, with clinical use limited by low sensitivity. These criticisms are based on diagnostic-accuracy studies that often use the questionable assumption of an infallible gold standard. Bayesian latent class modelling can estimate diagnostic performance without this assumption. Methods: Data extracted from published diagnostic-accuracy studies comparing the QuickVue® influenza A+B influenza POCT to reverse-transcriptase polymerase chain reaction (RT-PCR) in two different populations were re-analysed. Classical and Bayesian latent class methods were applied using the Modelling for Infectious diseases CEntre (MICE) web-based application. Results: Under classical analyses the estimated sensitivity and specificity of the QuickVue® were 66.9% (95% confidence interval (CI) 61.4-71.9) and 97.8% (95% CI 95.7-98.9), respectively. Bayesian latent class models estimated sensitivity of 97.8% (95% credible interval (CrI) 82.1-100) and specificity of 98.5% (95% CrI 96.5-100). Conclusions: Data from studies comparing the QuickVue® point-of-care test to RT-PCR are compatible with better diagnostic performance than previously reported.

Published
2017
Full Text
View/download PDF

172. Abstract 3079: Characterization of ER-AF2 inhibitors in breast cancer

Author

Jane Foo, Francesco Gentile, Joseph Lee, Helene Morin, Shabnam Massah, Maria Guo, Jason Smith, Fuqiang Ban, Artem Cherkasov, and Nada Lallous

Subjects
Cancer Research, Oncology
Abstract

Up to 80% of breast cancers (BCa) rely on the estrogen receptor (ER) for their growth and progression. This dependence on ER has led to many hormonal therapies that target this receptor. However, almost 40% of these cancers will acquire resistance over the course of the treatment period. One potential cause of resistance is mutations in the estrogen binding site (EBS) of ER. As such, there is an increasing need for novel inhibitors that targets ER at a site separate from the EBS. Here, we propose targeting the activation-function (AF2) pocket of ER that is important for cofactor binding and transcription activation. Billions of compounds were screened through an in-silico deep docking method, and potential AF2 inhibitors were then validated in cell-based and biophysical assays. We tested the effect of potential AF2 inhibitors on ER transcriptional activity using luciferase reporter assay in ER-positive T47D-kbluc cells. We then evaluated the effect of molecules on cell viability of ER-positive T47D and ER-negative MDA-MB-231 cells using PrestoBlue assays in order to exclude off-target effects. From these cell-based assays, we identified several inhibitors that effectively reduced transcriptional activity and viability in ER-positive T47D cells at low micromolar concentrations. We conducted PGC-1α peptide displacement assay to confirm their AF2 binding and estradiol displacement assays to exclude any binding to the EBS. Proximity ligation assay (PLA) showed disruption of the interaction between ER and coactivator SRC-3 upon treatment with ER-AF2 inhibitors in T47D cells. Current work focuses on confirming the direct binding between the compounds and recombinant ER-ligand binding domain by various biophysical assays (MST, BLI, and ITC). Future work aims to solve the structure of ER-LBD in a complex with our lead compound by X-ray crystallography. We predict that the use of potent ER-AF2 inhibitors along with current treatments, will provide a novel tactic that can act as a complementary therapeutic to target treatment resistance in ER+ BCa. Citation Format: Jane Foo, Francesco Gentile, Joseph Lee, Helene Morin, Shabnam Massah, Maria Guo, Jason Smith, Fuqiang Ban, Artem Cherkasov, Nada Lallous. Characterization of ER-AF2 inhibitors in breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3079.

Published
2023

173. BUTYRATE AMELIORATES PANETH CELL DEFECTS, TOTAL INFLAMMATION, AND EPITHELIAL CELL APOPTOSIS DURING MITOCHONDRIAL DYSFUNCTION DRIVEN BY PROHIBITIN 1-DEFICIENCY

Author

Kibrom Alula, Alexander Dowdell, Joseph Lee, Sean Colgan, and Arianne Theiss

Subjects
Hepatology, Physiology, Gastroenterology, Immunology and Allergy
Abstract

INTRODUCTION Prohibitin 1 (PHB1) is a mitochondrial chaperone protein important for maximal activity of the electron transport chain. PHB1 deficiency in intestinal epithelial cells (IECs) or specifically in Paneth cells (PCs) induces epithelial mitochondrial dysfunction, PC defects, gut microbiota dysbiosis, and spontaneous ileitis in mice by 20 weeks-of-age. Dysbiotic gut microbiota has been implicated in inflammatory bowel diseases and is associated with the decreased abundance of short chain fatty acids (SCFAs; acetate, propionate, and butyrate)-producing bacteria. SCFAs play a significant role in reducing intestinal inflammation and epithelial barrier dysfunction. We tested the hypothesis that luminal SCFA levels were decreased in mice with PHB1 deficiency and that supplementation of SCFAs will ameliorate intestinal inflammation during mitochondrial dysfunction driven by loss of PHB1. METHODS Ileal luminal contents were collected from Phb1fl/fl (control) and Phb1iΔIEC (Phb1-deficient in IECs) mice at 20 weeks of age and SCFAs were measured by gas chromatography-mass spectrometry. Phb1iΔIEC and Phb1fl/fl littermate mice were treated with 20 mM butyrate dissolved in their drinking water from 16 to 20 weeks-of-age and PC defects were measured by antimicrobial peptide expression (Lysozyme, Cryptdin 3, Cryptdin 5, and Ang4) and Lysozyme staining allocation into secretory granules. Ileitis was measured by histological scoring and pro-inflammatory cytokine expression. To test epithelial intrinsic responses, ileal crypt enteroids derived from Phb1iΔIEC and Phb1fl/fl littermate mice were treated with 200 µg/ml healthy ileal stool lysates (from Phb1fl/fl mice) or dysbiotic stool lysates (from Phb1iΔIEC mice) for 16 hours with or without 0.05 mM butyrate, 0.5 mM propionate, 0.5 mM acetate, alone or in combination. Enteroid viability and apoptosis were measured by morphological change and cleaved Caspase 3 expression. RESULTS Butyrate was significantly decreased in ileal stool of Phb1iΔIEC mice. Butyrate supplementation in Phb1iΔIEC mice protected against ileitis and PC defects. Dysbiotic stool lysate decreased viability and increased apoptosis in Phb1-deficient enteroids that were prevented by butyrate supplementation. CONCLUSION Mitochondrial health in IECs cells is crucial for healthy gut microbiota composition and for epithelial defense when the microbiome becomes dysbiotic. Butyrate rescues IECs from insults caused by dysbiotic gut microbiota during mitochondrial dysfunction driven by PHB1 deletion.

Published
2023

174. Simple and adaptable R implementation of WHO/ISH cardiovascular risk charts for all epidemiological subregions of the world [version 1; referees: 3 approved with reservations]

Author

Dylan Collins, Joseph Lee, Niklas Bobrovitz, Constantinos Koshiaris, Alison Ward, and Carl Heneghan

Subjects
Software Tool Article, Articles, Bioinformatics, Methods of Clinical Decision-Making, WHO/ISH, Cardiovascular Risk Charts, Risk Score, R
Abstract

The World Health Organisation and International Society of Hypertension (WHO/ISH) cardiovascular disease (CVD) risk assessment charts have been implemented in many low- and middle-income countries as part of the WHO Package of Essential Non-Communicable Disease (PEN) Interventions for Primary Health Care in Low-Resource settings. Evaluation of the WHO/ISH cardiovascular risk charts and their use is a key priority and since they only exist in paper or PDF formats, we developed a simple R implementation of the charts for all epidemiological subregions of the world. The main strengths of this implementation are that it is built in a free, open-source, coding language with simple syntax, can be modified by the user, and can be used with a standard computer.

Published
2016
Full Text
View/download PDF

176. The Analytic Identification of Variance Component Models Common to Behavior Genetics

Author

S. Mason Garrison, S. Alexandra Burt, Michael D. Hunter, and Joseph Lee Rodgers

Subjects
0301 basic medicine, Structure (mathematical logic), Models, Genetic, Computer science, Twins, System identification, computer.software_genre, Article, Structural equation modeling, Term (time), 03 medical and health sciences, Identification (information), 030104 developmental biology, 0302 clinical medicine, Genetics, Humans, Data mining, Linear independence, Set (psychology), computer, 030217 neurology & neurosurgery, Genetics (clinical), Ecology, Evolution, Behavior and Systematics, Behavioural genetics
Abstract

Many behavior genetics models follow the same general structure. We describe this general structure and analytically derive simple criteria for its identification. In particular, we find that variance components can be uniquely estimated whenever the relatedness matrices that define the components are linearly independent (i.e., not confounded). Thus, we emphasize determining which variance components can be identified given a set of genetic and environmental relationships, rather than the estimation procedures. We validate the identification criteria with several well-known models, and further apply them to several less common models. The first model distinguishes child-rearing environment from extended family environment. The second model adds a gene-by-common-environment interaction term in sets of twins reared apart and together. The third model separates measured-genomic relatedness from the scanner site variation in a hypothetical functional magnetic resonance imaging study. The computationally easy analytic identification criteria allow researchers to quickly address model identification issues and define novel variance components, facilitating the development of new research questions.

Published
2021

177. Variation of anti-A and anti-B titers in group O potential blood donors: A pilot study

Author

Danielle Wickman, Ryan Snow, Joseph Lee, Gregory J. Zarow, Jeffrey T. Cook, and Eric J. Koch

Subjects
Adult, Male, medicine.medical_specialty, Resuscitation, Time Factors, Blood Donors, Pilot Projects, Critical Care and Intensive Care Medicine, ABO Blood-Group System, Retrospective data, Young Adult, Repeated testing, Battlefield, Internal medicine, medicine, Humans, Retrospective Studies, Whole blood, business.industry, Transfusion Reaction, Diagnostic test, Level iv, United States, Titer, Military Personnel, Blood Grouping and Crossmatching, Blood Group Incompatibility, Female, Surgery, business
Abstract

BACKGROUND Resuscitation with fresh whole blood is vital to preserving life on the battlefield. Transfusing low titer O whole blood (LTOWB), defined as anti-A and anti-B titer levels of

Published
2021

178. Community Opinion and Satisfaction with the Leadership at an Urban Community Educational Learning Center during an Organizational Transformation Process: A Frontline Perspective from Community Stakeholders

Author

Lewis, Joseph Lee

Abstract

This study examined selected community stakeholders' perception of the current leadership at their local community educational learning center during an organizational transformation and cultural change process. The transition from a community college to an educational learning center, mandated in 2006 by the Accredition Commission and agreed on by the Chancellor's office, was facilitated by a community college of another district. This process appeared to produce mixed reactions from various educational learning center constituency groups. During the transformational process, opinions how the institutional leadership addressed the task of developing a trusting and meaningful relationship with community stakeholders surfaced. Based on the survey responses gathered from selected community stakeholders from various community-based organizations, this study identified prevalent perceptions regarding the current educational learning center's leadership. Previously, there has been no research examining how community stakeholders feel about the current leadership, state take-over, and partnership phenomena born out of a college district losing its accreditation. Therefore, while researching how satisfied selected community stakeholders were with the current leadership under these unique circumstances, this study also offered an in-depth look at college operations, accreditation expectations, and community relations. The majority of stakeholders surveyed were generally concerned about the current type of leadership at their local educational learning center, and the manner in which the state take-over and partnership impacted the subject community college district stakeholders during the organizational transformation and cultural change process. While focusing on a transformational leadership theoretical framework, this dissertation revealed that generally, stakeholders had opinions that indicated they were not completely satisfied with the manner in which the organizational transformation and cultural change process is being conducted. The results of this study showed that community stakeholders were primarily dissatisfied with the type of leadership strategy facilitated during the transformational process; the manner in which communication is facilitated to the community and the quality of course program offerings. Opinions varied regarding campus services, facilities access and conditions. In the final chapter of this dissertation recommendations are offered to improve public and community relations under the unique circumstances of an organizational transformation and cultural change process of an urban community college. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]

Published
2013

185. whoishRisk – an R package to calculate WHO/ISH cardiovascular risk scores for all epidemiological subregions of the world [version 2; referees: 2 approved, 1 approved with reservations]

Author

Dylan Collins, Joseph Lee, Niklas Bobrovitz, Constantinos Koshiaris, Alison Ward, and Carl Heneghan

Subjects
Bioinformatics, Methods of Clinical Decision-Making, Medicine, Science
Abstract

The World Health Organisation and International Society of Hypertension (WHO/ISH) cardiovascular disease (CVD) risk assessment charts have been implemented in many low- and middle-income countries as part of the WHO Package of Essential Non-Communicable Disease (PEN) Interventions for Primary Health Care in Low-Resource settings. Evaluation of the WHO/ISH cardiovascular risk charts and their use is a key priority and since they only existed in paper or PDF formats, we developed an R implementation of the charts for all epidemiological subregions of the world. The main strengths of this implementation are that it is built in a free, open-source, coding language with simple syntax, can be downloaded from github as a package (“whoishRisk”), and can be used with a standard computer.

Published
2017
Full Text
View/download PDF

186. Metabolite variation and discrimination of five licorice (Glycyrrhiza) species: HPTLC and NMR explorations

Author

Jianping Zhao, Mei Wang, Sebastian J. Adams, Joseph Lee, Amar G. Chittiboyina, Bharathi Avula, Zulfiqar Ali, Vijayasankar Raman, Jing Li, Charles Wu, and Ikhlas A. Khan

Subjects
Flavoring Agents, Magnetic Resonance Spectroscopy, Plant Extracts, Clinical Biochemistry, Drug Discovery, Glycyrrhiza, Pharmaceutical Science, Spectroscopy, Triterpenes, Analytical Chemistry
Abstract

The roots and rhizomes of several Glycyrrhiza species are widely used as sweetening and flavoring agents in food, as well as important ingredients in formulations of traditional medicines. Five Glycyrrhiza species, G. uralensis, G. glabra, G. inflata, G. echinata, and G. lepidota, often share the name "licorice roots" in the botanicals' marketplace. Unfortunately, misidentification/mislabeling is very common due to their similarities in morpho-anatomical features. Significant metabolite alterations among the different Glycyrrhiza species and their hybrids have been reported, suggesting that the biological activities could vary with the licorice roots or products derived from different species. Development of simple, effective methods for species identification and differentiation is of key importance. In this study, 78 licorice samples were investigated using HPTLC and NMR as analytical tools. Significant metabolite variations were observed between the five species. The species-specific fingerprint patterns for the five Glycyrrhiza species were determined with HPTLC and NMR; then applied to the sample identification and discrimination. The results obtained from these two orthogonal analytical methods agreed with each other. Furthermore, the NMR signals and the species-specific constituents that made significant contributions to the differentiation of the five Glycyrrhiza species were confirmed based on the multivariate analysis of the NMR spectral data. Using the established OPLS-DA models, the classification of hybrids was evaluated and confirmed. The developed methods, particularly the HPTLC method with its simplicity and low cost, could be used as a rapid and reliable approach for the authentication of licorice species and quality control of licorice raw material and products.

Published
2022

187. Worldwide Disparities in Recovery of Cardiac Testing 1 Year Into COVID-19

Author

Andrew J. Einstein, Cole Hirschfeld, Michelle C. Williams, Joao V. Vitola, Nathan Better, Todd C. Villines, Rodrigo Cerci, Leslee J. Shaw, Andrew D. Choi, Sharmila Dorbala, Ganesan Karthikeyan, Bin Lu, Valentin Sinitsyn, Alexey A. Ansheles, Takashi Kudo, Chiara Bucciarelli-Ducci, Bjarne Linde Nørgaard, Pál Maurovich-Horvat, Roxana Campisi, Elisa Milan, Lizette Louw, Adel H. Allam, Mona Bhatia, Lorenzo Sewanan, Eli Malkovskiy, Yosef Cohen, Michael Randazzo, Jagat Narula, Olga Morozova, Thomas N.B. Pascual, Yaroslav Pynda, Maurizio Dondi, Diana Paez, Gerd Hinterleitner, Yao Lu, Zhuoran Xu, Cole B. Hirschfeld, Ikenna Erinne, Mrinali Shetty, Andrew Choi, Juan Lopez-Mattei, Purvi Parwani, Artan Goda, Ervina Shirka, Salah Bouyoucef, Lydia Chelghoum, Farouk Mansouri, Abdelkader Medjahedi, Qais Naili, Mokhtar Ridouh, Diego Alasia, Lucia Alberghina, Natalia Aramayo, Diego Buchara, Franco Gabriel Busso, Jose Javier Bustos Rivadero, Jorge Camilletti, Hugo Campanelli, Ricardo Belisario Castro, Mariana Daicz, Horacio del Riego, Laura Dragonetti, Diego Echazarreta, Juan Erriest, Fernando Faccio, Adolfo Facello, Hugo Gallegos, Ricardo Geronazzo, Horacio Glait, Victor Hasbani, Victor Jäger, Julio Manuel Lewkowicz, Jose Lotti, Neiva Maciel, Osvaldo Masoli, Edgardo Mastrovito, Maria Medus, Maria Fernanda Merani, Susana Molteni, Marcos Montecinos, Gustavo Parisi, Claudio Pereyra Sueldo, Diego Perez de Arenaza, Luis Quintana, Alejandro Radzinschi, Marcela Redruello, Marina Rodríguez, Horacio Rojas, Arturo Romero Acuña, Daniel Schere, Sonia Traverso, Gustavo Vazquez, Susana Zeffiro, Mari Sakanyan, Scott Beuzeville, Raef Boktor, Michael Crowley, D'Arne Downie, Girish Dwivedi, Barry Elison, Omar Farouque, Kim Jasper, Subodh Joshi, Joseph Lee, Kenneth Lee, Elaine Lui, Peter Mcconachie, Joanne Meaker, Dee Nandurkar, Johanne Neill, Edward O'Rourke, Patricia O'Sullivan, George Pandos, Manuja Premaratne, David Prior, Natalie Rutherford, Connor Saunders, Kim Taubman, Andrew Tauro, Andrew Taylor, James Theuerle, Paul Thomas, Jonathan Tow, Anthony Upton, Shankar Vamadevan, Victor Wayne, Eva Alina Wegner, David Wong, John Younger, Dietrich Beitzke, Gudrun Feuchtner, Oliver Sommer, Konrad Weiss, Natallia Maroz-Vadalazhskaya, Uladzimir Tserakhau, Filip Homans, Caroline M. Van De Heyning, Raúl Araujo, Valentina Soldat-Stankovic, Sinisa Stankovic, Augusto Almeida, Carlos Anselmi, Guilherme S.A. Azevedo, Marcio Sommer Bittencourt, Diego Bromfman Pianta, Estevan Cabeda, Lara Carreira, Igor Coelho, Fernando de Amorim Fernandes, Andrea de Lorenzo, Roberta Delgado, Fernanda Erthal, Fabio Fernandes, Juliano Fernandes, Thiago Ferreira de Souza, Murilo Foppa, Wilson Furlan Matos Alves, Cibele Gontijo, Ilan Gottlieb, Gabriel Grossman, Maria Helena Albernaz Siqueira, Cesar Higa Nomura, Katia Hiromoto Koga, Ronaldo Lima, Rafael Lopes, Hugo Humberto Marçal Filho, Paulo Masiero, Luiz Mastrocola, Maria Eduarda Menezes de Siqueira, Claudio Mesquita, Danilo Naves, Filipe Penna, Ibraim Pinto, Thércio Rocha, Juliana Leal Rocha, Alfredo Rodrigues, Leila Salioni, Adelina Sanches, Marcelo Santos, Leonardo Sara Da Silva, Paulo Schvartzman, Cristina Sebastião Matushita, Tiago Senra, Marcelo Silva, Carlos Eduardo Soares, Bernardo Spiro, Carlos Eduardo Suaide Silva, Rafael Torres, Guilherme Urpia Monte, Andrea Vilela, Alexandre Volney Villa, Joao Vitola, Themissa Voss, Roberto Waltrick, Marcello Zapparoli, Hamid Naseer, Marina Garcheva-Tsacheva, Tiémégna Florence Ouattara, Sarameth Thou, Soley Varoeun, Gad Abikhzer, Rob Beanlands, Michael Chetrit, Dominique Dabreo, Carole Dennie, Matthias Friedrich, Mohmmed Nassoh Hafez, Kate Hanneman, Robert Miller, Anastasia Oikonomou, Idan Roifman, Gary Small, Vikas Tandon, Adwait Trivedi, James White, Katherine Zukotynski, Rita Alay, Carmen Concha, Teresa Massardo, Pedro Abad, Kelly Anzola, Harold Arturo, Luis Benitez, Alberto Cadena, Carlos Caicedo Zamudio, Antonio Calderón, Claudia T. Gutierrez Villamil, Claudia Jaimes, Juan L. Londono, Nelson Lopez, Sonia Merlano-Gaitan, Ramon Murgieitio-Cabrera, Manuel Valencia, Damiana Vergel, Alejandro Zuluaga Santamaria, Felix Solis, Tonci Batinic, Maja Franceschi, Maja Hrabak Paar, Marina Prpic, Cuba: Juan Felipe Batista, Lazaro Omar Cabrera, Amalia Peix, Yamilé Peña, Luis Manuel Rochela Vázquez, Ioannis Ntalas, Milan Kaminek, Vladimir Kincl, Otto Lang, Jawdat Abdulla, Morten Bøttcher, Martin Busk, Uka Geisler, Lars C. Gormsen, Nicolaj Hansson, Søren Hess, Jens Hove, Lars Thorbjoern Jensen, Magnus T. Jensen, Kristian Hay Kragholm, Bjarne L. Nørgaard, Kristian Øvrehus, Jan Rasmussen, Niels Peter Rønnow Sand, Hanne Sondergaard, Tomas Zaremba, Herwin Speckter, Nelson Amores, Mayra Sanchez Velez, Taghreed Abd Alrahman, Sherif Abd Elsamad, Alia Abdelfattah, Adel Allam, Sameh Elkaffas, Mona Hassan, Elshaymaa Hussein, Ahmed Ibrahim, Ahmed Kandeel, Mohamed Mandour Ali, Mahmoud Shaaban, Camila Flores, Verónica Vanesa Gómez Leiva, Anita Liiver, Martti Larikka, Valtteri Uusitalo, Denis Agostini, Clothilde Berger, Matthieu Dietz, Fabien Hyafil, Mickaël Ohana, Kevin Prigent, Hamza Regaieg, Laure Sarda-Mantel, Darach O. H-Ici, Harold Ayetey, George Angelidis, Christina Fragkaki, Chrysoula Fragkiadaki, Panagiotis Georgoulias, Maria Koutelou, Elena Kyrozi, Niki Lama, Vassilis Prassopoulos, Michael Spartalis, Theodora Zaglavara, Carla Gonzalez, Goleat Gutierrez, Alejandro Maldonado, Yassine Martinez, Attila Kovács, Bálint Szilveszter, Nilesh Banthia, Vivek Bhat, Partha Choudhury, Vijay Sai Chowdekar, Johann Christopher, Tushar Garg, Naresh Kumar Goyal, Ripen Kumar Gupta, Abhishek Gupta, Julie Hephzibah, Shashank Jain, Jesu Krupa, Parveen Kumar, Sukriti Kumar, Arati Lalchandani, Animesh Mishra, Vivaswan Dutt Mishra, Parul Mohan, Ahmad Ozair, Shivani Pandey, Ramanathapuram Parameswaran, Chetan Patel, Tapan Patel, Shivani Patel, Leena Robinson Vimala, Dr Pradosh Kumar Sarangi, Shantanu Sengupta, Arvind Sethi, Amit Sharma, Awadhesh Kumar Sharma, Punit Sharma, Apurva Shrigiriwar, Santosh Singh, Harpreet Singh, Ashwani Sood, Atul Verma, Ajay Vyas, Erwin Affandi Soeriadi, Edison Bun, Febby Hutomo, Hilman Syawaluddin, Ryan Yudistiro, Amjed Albadr, Majid Assadi, Farshad Emami, Alireza Emami-Ardekani, Saeed Farzanehfar, Ramezan Jafari, Reyhaneh Manafi-Farid, Maryam Tajik, Yoav Arnson, Shmuel Fuchs, Ronen Goldkorn, John Kennedy, Marina Leitman, Aryeh Shalev, Wanda Acampa, Domenico Albano, Pierpaolo Alongi, Gaspare Arnone, Roberta Assante, Anna Baritussio, Matteo Bauckneht, Francesco Bianco, Rachele Bonfiglioli, Francesco Bovenzi, Isabella Bruno, Andrea Bruno, Elena Busnardo, Elena Califaretti, Roberta Casoni, Vittorio Censullo, Franca Chierichetti, Marcello Chiocchi, Corrado Cittanti, Alberto Clemente, Alberto Cuocolo, Maria Luisa De Rimini, Giuseppe De Vincentis, Veronica Della Tommasina, Santo Dellegrottaglie, Paola Anna Erba, Laura Evangelista, Lara Faggi, Evelina Faragasso, Luigia Florimonte, Viviana Frantellizzi, Marco Gatti, Angela Gaudiano, Fabrizia Gelardi, Alberto Gerali, Alessia Gimelli, Marco Guglielmo, Lucia Leccisotti, Riccardo Liga, Carlo Liguori, Giampiero Longo, Margherita Maffione, Claudio Marcassa, Giovanni Matassa, Donato Mele, Luca Mircoli, Andrea Paccagnella, Sara Pacella, Federica Padovano, Dario Pellegrini, Valeria Pergola, Luca Pugliese, Natale Quartuccio, Lucia Rampin, Fabrizio Ricci, Giuseppe Rubini, Vincenzo Russo, Gianmario Sambuceti, Alessandra Scatteia, Roberto Sciagrà, Gianluca Spidalieri, Antonella Stefanelli, Carlo Tedeschi, Guido Ventroni, Dainia Baugh, Ernest Madu, Tadao Aikawa, Hiroshi Asano, Shinichiro Fujimoto, Koichiro Fujise, Yoshimitsu Fukushima, Kae Fukuyama, Yasutaka Ichikawa, Reiko Ideguchi, Nobuo Iguchi, Masamichi Imai, Hayato Ishimura, Satoshi Isobe, Kimiteru Ito, Yu Izawa, Toshiaki Kadokami, Tokuo Kasai, Takao Kato, Takashi Kawamoto, Shigeru Kiryu, Shinichiro Kumita, Osamu Manabe, Hirotaka Maruno, Naoya Matsumoto, Masao Miyagawa, Masao Moroi, Shigeki Nagamachi, Kenichi Nakajima, Ryo Nakazato, Mamoru Nanasato, Masanao Naya, Takashi Norikane, Yasutoshi Ohta, Yoichi Otomi, Hideki Otsuka, Noriko Oyama-Manabe, Masaki Saito, Masayoshi Sarai, Junichi Sato, Daisuke Sato, Shinya Shiraishi, Kentaro Takanami, Kazuya Takehana, Yasuyo Taniguchi, Hiroki Teragawa, Nobuo Tomizawa, Kyoko Umeji, Yasushi Wakabayashi, Shinichiro Yamada, Shinya Yamazaki, Tatsuya Yoneyama, Mohammad Rawashdeh, Tairkhan Dautov, Khalid Makhdomi, Mostafa Abass, Masoud Garashi, Qaisar Siraj, Marika Kalnina, Mohamad Haidar, Renata Komiagiene, Giedre Kviecinskiene, Donatas Vajauskas, Noor Khairiah A. Karim, Mady Doucoure, Luise Reichmuth, Anthony Samuel, Mohamed Lemine Dieng, Ambedhkar Shantaram Naojee, Estrella Aguilera Hernandez, Cesar Rene Alducin Tellez, Erick Alexánderson-Rosas, Erika Barragan, Manuel Cabada, Daniel Calderón, Isabel Carvajal-Juarez, José Esparza, Manlio Gerardo Gama-Moreno, Virginia Garcia Quinto, Nelsy Coromoto Gonzalez, Mary Carmen Herrera-Zarza, Aloha Meave, Jesus Gregorio Medina Verdugo, Gabriela Melendez, Rafael Humberto Morales Murguia, Carlos Salvador Navarro Quiroz, Mario Ornelas, Andres Preciado-Anaya, Oscar Ulises Preciado-Gutiérrez, Adriana Puente, Aristóteles Ramírez Salazar, Sandra Graciela Rosales Uvera, Sandra Rosales-Uvera, Jose Antonio Serna Macias, Lilia Sierra-Galan, Lilia M. Sierra-Galan, Juan Carlos Tirado Alderete, Enrique Vallejo, Marc Faraggi, Erdenechimeg Sereegotov, Nouzha Ben Rais, Nadia Ismaili Alaoui, Thiri Kyiphyu, Su Thet Oo, Soe Myat Win, Htin Zar, Ram Ghimire, Madhu Neupane, Andor Glaudemans, Riemer Slart, Derk Verschure, Berry Allen, John Edmond, Clare Mckenzie, Stuart Tie, Niels Van Pelt, Kirsten Worthington, Calum Young, Idrissa Adamou Soli, Shehu Kana, Uchenna Onubogu, Mahmoud Sani, Anders Tjellaug Bråten, Arve Jørgensen, Hanne-Elin Vassbotn, Humoud Al Dhuhli, Zabah Jawa, Naima Tag, Shazia Fatima, Muhammad Babar Imran, Muhammad Numair Younis, Mohammad Saadullah, Yariela Herrera Malo, Dora Lenturut-Katal, Manuel Castillo, José Ortellado, Afroza Akhter, F. Aaysha Cader, Raihan Hussain, Saidur Rahman Khan, Tapati Mandal, Faria Nasreen, Yunqiang An, Dianbo Cao, Lianggeng Gong, Yang Hou, Chongfu Jia, Tao Li, Caiying Li, Hui Liu, Wenya Liu, Jinkang Liu, Ming-Yen Ng, Heshui Shi, Chunxiang Tang, Ximing Wang, Zhaoqian Wang, Yining Wang, Jiang Wu, Yan Yi, Li Yuan, Tong Zhang, Longjiang Zhang, Edith Chavez, Carlos Cruz, Christian Llontop, Rosanna Morales, Paz Abrihan, Asela Bustos-Barroso, Michele Duldulao-Ogbac, Christopher Eduarte, Jerry Obaldo, Alvin Quinon, Belinda San Juan, Carlo Joe San Juan, Marie Rhiamar Sauler-Gomez, Mila Uy, Magdalena Kostkiewicz, Jolanta Kunikowska, Anna Teresinska, Tomasz Urbanik, Nuno Bettencourt, Ricardo Fontes-Carvalho, Cristina Gavina, Lino Gonçalves, Filipe Macedo, Nuno Moreno, Carla Sousa, Ana Teresa Timoteo, Maria João Vidigal, Mahmoud Al Heidous, Subramaniyan Ramanathan, Samer Arnous, Said Aytani, Angela Byrne, Tadhg Gleeson, David Kerins, Julie O'Brien, Ji-In Bang, Henry Bom, Miju Cheon, Gi Jeong Cheon, Sang-Geon Cho, Chae Moon Hong, Yong Hyu Jeong, Won Jun Kang, Yeon-Koo Kang, Ji-Young Kim, So Won Oh, Young So, Ho-Chun Song, Kyoung Sook Won, Soo Woong Yoo, Irena Mitevska, Marija Vavlukis, Barbara Gužic Salobir, Monika Štalc, Theodora Benedek, Marian Pop, Claudiu Stan, Alexey Ansheles, Olga Dariy, Nina Gagarina, Irina Itskovich, Anatoliy Karalkin, Alexander Kokov, Gulya Marina, Ekaterina Migunova, Viktor Pospelov, Daria Ryzhkova, Guzaliya Sayfullina, Vladimir Sergienko, Irina Shurupova, Margarita Vakhromeeva, Nailia Valiullina, Konstantin Zavadovsky, Kirill Zhuravlev, Rami Abazid, Turki Al Garni, Mirvat Alasnag, Ahmed Aljizeeri, Hamid Amer, Ahmad Amro, Hesham Hamdy, Osama Smettei, Dragana Sobic Saranovic, Marina Vlajkovic, Felix Keng, Jason See, Zuzana Berecova, Jana Polakova Mistinova, Osayande Evbuomwan, Nerisha Govender, Jonathan Hack, Bawinile Hadebe, Khanyisile Hlongwa, Mitchell Kaplan, Hoosen Lakhi, Katarina Milos, Moshe Modiselle, Stuart More, Ntanganedzeni Muambadzi, Leonie Scholtz, Manuel Barreiro-Perez, Isabel Blanco, Jordi Broncano, Alicia Camarero, Irene Casáns-Tormo, Javier De Haro, Albert Flotats, Elia García, Ceferino Gutierrez Mendiguchia, Amelia Jimenez-Heffernan, Ruben Leta, Javier Lopez Diaz, Luis Lumbreras Vega, Ana Manovel-Sánchez, Amparo Martinez Monzonis, Bianca Patrut, Virginia Pubul, Ricardo Ruano Perez, Nahla Zeidan, Damayanthi Nanayakkara, Ahmed Suliman, Henrik Engblom, Mustafa Murtadha, Ellen Ostenfeld, Magnus Simonsson, Hatem Alkadhi, Ronny Ralf Buechel, Peter Burger, Christoph Gräni, Christel Kamani, Nadine Kawel-Böhm, Bernd Klaeser, Robert Manka, John Prior, Tawika Kaewchur, Benjapa Khiewvan, Arpakorn Kositwattanarerk, Sirianong Namwongprom, Tanyaluck Thientunyakit, Haluk Burcak Sayman, Mahmut Yüksel, Mugisha Julius Sebikali, Emmy Okello, Pavlo Korol, Iryna Noverko, Maryna Satyr, Tahir Ahmad, Khaled Alfakih, Ivo Andrade, Susan Buckingham, Anda Bularga, John-Paul Carpenter, Graham Cole, David Cusack, Sarojini David, Patrick Davis, Timothy Fairbairn, Arjun Ghosh, Prasad Guntur Ramkumar, Mark Hamilton, Faisal Haque, Benjamin Hudson, Annette Johnstone, V.J. Karthikeyan, Mike Kay, Mohammad Ali Khan, Jamie Kitt, Chen Sheng Low, Elisa Mcalindon, David Mccreavy, Brian Morrissey, Manish Motwani, Dilip Na, Edward Nicol, Dilip Patel, Jonathan Rodrigues, Chris Rofe, Rebecca Schofield, Thomas Semple, Azeem Sheikh, Apurva Sinha, Deepak Subedi, William Topping, Katherine Tweed, Stephen Richard Underwood, Jonathan Weir-Mccall, Hamed Zuhairy, Taimur Abbasi, Shady Abohashem, Sandra Abramson, Mouaz Al-Mallah, Mohan Ashok Kumar, Mallory Balmer-Swain, Daniel Berman, Adam Bernheim, Sabha Bhatti, Robert Biederman, Erik Bieging, Scott Bingham, Stephen Bloom, Sean Blue, Andressa Borges, Kelley Branch, Paco Bravo, Sujatha Buddhe, Matthew Budoff, Renée Bullock-Palmer, Michael Cahill, Candace Candela, Jane Cao, Saurav Chatterjee, Yiannis Chatzizisis, Nita Ray Chaudhuri, Michael Cheezum, Anjali Chelliah, Tiffany Chen, Marcus Chen, Lu Chen, Aalap Chokshi, Jina Chung, Sorin Danciu, William DeSisto, Michael Dilorenzo, Rami Doukky, William Duvall, Maros Ferencik, Cameron Foster, Anthon Fuisz, Michael Gannon, David German, Myron Gerson, Jeffrey Geske, Fadi Hage, Agha Haider, Sofia Haider, Yasmin Hamirani, Karen Hassen, Robert Hendel, Jacqueline Henkel, Stephen Horgan, Mark Hyun, Rajesh Janardhanan, Scott Jerome, Dinesh Kalra, David Kassop, Mona Kinkhabwala, George Kinzfogl, Bernard Koch, Lynne Koweek, Joseph Krepp, Younghoon Kwon, Jay Layer, John Lesser, Steve Leung, Bernadette Lisske, Kathleen Magurany, Jeremy Markowitz, Brenda Mccullough, Azita Moalemi, Chanan Moffitt, Juan Montanez, Warren Moore, Shamil Morayati, Mahmud Mossa-Basha, Zorana Mrsic, Venkatesh Murthy, Prashant Nagpal, Katarina Nelson, Prabhjot Nijjar, Rupal O’Quinn, Edward Passen, Toral Patel, Pravin Patil, Amit Pursnani, Nancy Quachang, Mark Rabbat, Pragya Ranjan, Patricia Rodriguez Lozano, Mary Schemmer, Rebecca Seifried, Nishant Shah, Amee Shah, Sujata Shanbhag, Gaurav Sharma, Robert Skotnicki, Michael Sobczak, Prem Soman, Vincent Sorrell, Monvadi Srichai, Jim Streeter, Leah Strickland, Suliman Suliman, Naghmeh Tebyanian, Dustin Thomas, Randall Thompson, Seth Uretsky, Srikanth Vallurupalli, Marian Vandyck-Acquah, Vikas Verma, Todd Villines, Joseph Weinstein, David Wolinsky, Karolina Zareba, Michael Zgaljardic, Mario Beretta, Rodolfo Ferrando, Miguel Kapitan, Fernando Mut, Omoa Djuraev, Gulnora Rozikhodjaeva, Luisa Vera, Binh Duong Duc, Xuan Canh Nguyen, Phuoc Minh Hiep Nguyen, Translational Immunology Groningen (TRIGR), Cardiovascular Centre (CVC), ​Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Molecular Pharmacology, Drug Design, Einstein, A, Hirschfeld, C, Williams, M, Vitola, J, Better, N, Villines, T, Cerci, R, Shaw, L, Choi, A, Dorbala, S, Karthikeyan, G, Lu, B, Sinitsyn, V, Ansheles, A, Kudo, T, Bucciarelli-Ducci, C, Norgaard, B, Maurovich-Horvat, P, Campisi, R, Milan, E, Louw, L, Allam, A, Bhatia, M, Sewanan, L, Malkovskiy, E, Cohen, Y, Randazzo, M, Narula, J, Morozova, O, Pascual, T, Pynda, Y, Dondi, M, Paez, D, Hinterleitner, G, Lu, Y, Xu, Z, Erinne, I, Shetty, M, Lopez-Mattei, J, Parwani, P, Goda, A, Shirka, E, Bouyoucef, S, Chelghoum, L, Mansouri, F, Medjahedi, A, Naili, Q, Ridouh, M, Alasia, D, Alberghina, L, Aramayo, N, Buchara, D, Busso, F, Bustos Rivadero, J, Camilletti, J, Campanelli, H, Castro, R, Daicz, M, del Riego, H, Dragonetti, L, Echazarreta, D, Erriest, J, Faccio, F, Facello, A, Gallegos, H, Geronazzo, R, Glait, H, Hasbani, V, Jager, V, Lewkowicz, J, Lotti, J, Maciel, N, Masoli, O, Mastrovito, E, Medus, M, Merani, M, Molteni, S, Montecinos, M, Parisi, G, Sueldo, C, Perez de Arenaza, D, Quintana, L, Radzinschi, A, Redruello, M, Rodriguez, M, Rojas, H, Acuna, A, Schere, D, Traverso, S, Vazquez, G, Zeffiro, S, Sakanyan, M, Beuzeville, S, Boktor, R, Crowley, M, Downie, D, Dwivedi, G, Elison, B, Farouque, O, Jasper, K, Joshi, S, Lee, J, Lee, K, Lui, E, Mcconachie, P, Meaker, J, Nandurkar, D, Neill, J, O'Rourke, E, O'Sullivan, P, Pandos, G, Premaratne, M, Prior, D, Rutherford, N, Saunders, C, Taubman, K, Tauro, A, Taylor, A, Theuerle, J, Thomas, P, Tow, J, Upton, A, Vamadevan, S, Wayne, V, Wegner, E, Wong, D, Younger, J, Beitzke, D, Feuchtner, G, Sommer, O, Weiss, K, Maroz-Vadalazhskaya, N, Tserakhau, U, Homans, F, Van De Heyning, C, Araujo, R, Soldat-Stankovic, V, Stankovic, S, Almeida, A, Anselmi, C, Azevedo, G, Bittencourt, M, Pianta, D, Cabeda, E, Carreira, L, Coelho, I, de Amorim Fernandes, F, de Lorenzo, A, Delgado, R, Erthal, F, Fernandes, F, Fernandes, J, Ferreira de Souza, T, Foppa, M, Matos Alves, W, Gontijo, C, Gottlieb, I, Grossman, G, Albernaz Siqueira, M, Nomura, C, Koga, K, Lima, R, Lopes, R, Marcal Filho, H, Masiero, P, Mastrocola, L, Menezes de Siqueira, M, Mesquita, C, Naves, D, Penna, F, Pinto, I, Rocha, T, Rocha, J, Rodrigues, A, Salioni, L, Sanches, A, Santos, M, Da Silva, L, Schvartzman, P, Matushita, C, Senra, T, Silva, M, Soares, C, Spiro, B, Suaide Silva, C, Torres, R, Monte, G, Vilela, A, Villa, A, Voss, T, Waltrick, R, Zapparoli, M, Naseer, H, Garcheva-Tsacheva, M, Ouattara, T, Thou, S, Varoeun, S, Abikhzer, G, Beanlands, R, Chetrit, M, Dabreo, D, Dennie, C, Friedrich, M, Hafez, M, Hanneman, K, Miller, R, Oikonomou, A, Roifman, I, Small, G, Tandon, V, Trivedi, A, White, J, Zukotynski, K, Alay, R, Concha, C, Massardo, T, Abad, P, Anzola, K, Arturo, H, Benitez, L, Cadena, A, Zamudio, C, Calderon, A, Gutierrez Villamil, C, Jaimes, C, Londono, J, Lopez, N, Merlano-Gaitan, S, Murgieitio-Cabrera, R, Valencia, M, Vergel, D, Santamaria, A, Solis, F, Batinic, T, Franceschi, M, Paar, M, Prpic, M, Felipe Batista, C, Cabrera, L, Peix, A, Pena, Y, Rochela Vazquez, L, Ntalas, I, Kaminek, M, Kincl, V, Lang, O, Abdulla, J, Bottcher, M, Busk, M, Geisler, U, Gormsen, L, Hansson, N, Hess, S, Hove, J, Jensen, L, Jensen, M, Kragholm, K, Ovrehus, K, Rasmussen, J, Ronnow Sand, N, Sondergaard, H, Zaremba, T, Speckter, H, Amores, N, Velez, M, Alrahman, T, Elsamad, S, Abdelfattah, A, Elkaffas, S, Hassan, M, Hussein, E, Ibrahim, A, Kandeel, A, Ali, M, Shaaban, M, Flores, C, Gomez Leiva, V, Liiver, A, Larikka, M, Uusitalo, V, Agostini, D, Berger, C, Dietz, M, Hyafil, F, Ohana, M, Prigent, K, Regaieg, H, Sarda-Mantel, L, H-Ici, D, Ayetey, H, Angelidis, G, Fragkaki, C, Fragkiadaki, C, Georgoulias, P, Koutelou, M, Kyrozi, E, Lama, N, Prassopoulos, V, Spartalis, M, Zaglavara, T, Gonzalez, C, Gutierrez, G, Maldonado, A, Martinez, Y, Kovacs, A, Szilveszter, B, Banthia, N, Bhat, V, Choudhury, P, Chowdekar, V, Christopher, J, Garg, T, Goyal, N, Gupta, R, Gupta, A, Hephzibah, J, Jain, S, Krupa, J, Kumar, P, Kumar, S, Lalchandani, A, Mishra, A, Mishra, V, Mohan, P, Ozair, A, Pandey, S, Parameswaran, R, Patel, C, Patel, T, Patel, S, Vimala, L, Kumar Sarangi, D, Sengupta, S, Sethi, A, Sharma, A, Sharma, P, Shrigiriwar, A, Singh, S, Singh, H, Sood, A, Verma, A, Vyas, A, Soeriadi, E, Bun, E, Hutomo, F, Syawaluddin, H, Yudistiro, R, Albadr, A, Assadi, M, Emami, F, Emami-Ardekani, A, Farzanehfar, S, Jafari, R, Manafi-Farid, R, Tajik, M, Arnson, Y, Fuchs, S, Goldkorn, R, Kennedy, J, Leitman, M, Shalev, A, Acampa, W, Albano, D, Alongi, P, Arnone, G, Assante, R, Baritussio, A, Bauckneht, M, Bianco, F, Bonfiglioli, R, Bovenzi, F, Bruno, I, Bruno, A, Busnardo, E, Califaretti, E, Casoni, R, Censullo, V, Chierichetti, F, Chiocchi, M, Cittanti, C, Clemente, A, Cuocolo, A, De Rimini, M, De Vincentis, G, Della Tommasina, V, Dellegrottaglie, S, Erba, P, Evangelista, L, Faggi, L, Faragasso, E, Florimonte, L, Frantellizzi, V, Gatti, M, Gaudiano, A, Gelardi, F, Gerali, A, Gimelli, A, Guglielmo, M, Leccisotti, L, Liga, R, Liguori, C, Longo, G, Maffione, M, Marcassa, C, Matassa, G, Mele, D, Mircoli, L, Paccagnella, A, Pacella, S, Padovano, F, Pellegrini, D, Pergola, V, Pugliese, L, Quartuccio, N, Rampin, L, Ricci, F, Rubini, G, Russo, V, Sambuceti, G, Scatteia, A, Sciagra, R, Spidalieri, G, Stefanelli, A, Tedeschi, C, Ventroni, G, Baugh, D, Madu, E, Aikawa, T, Asano, H, Fujimoto, S, Fujise, K, Fukushima, Y, Fukuyama, K, Ichikawa, Y, Ideguchi, R, Iguchi, N, Imai, M, Ishimura, H, Isobe, S, Ito, K, Izawa, Y, Kadokami, T, Kasai, T, Kato, T, Kawamoto, T, Kiryu, S, Kumita, S, Manabe, O, Maruno, H, Matsumoto, N, Miyagawa, M, Moroi, M, Nagamachi, S, Nakajima, K, Nakazato, R, Nanasato, M, Naya, M, Norikane, T, Ohta, Y, Otomi, Y, Otsuka, H, Oyama-Manabe, N, Saito, M, Sarai, M, Sato, J, Sato, D, Shiraishi, S, Takanami, K, Takehana, K, Taniguchi, Y, Teragawa, H, Tomizawa, N, Umeji, K, Wakabayashi, Y, Yamada, S, Yamazaki, S, Yoneyama, T, Rawashdeh, M, Dautov, T, Makhdomi, K, Abass, M, Garashi, M, Siraj, Q, Kalnina, M, Haidar, M, Komiagiene, R, Kviecinskiene, G, Vajauskas, D, Karim, N, Doucoure, M, Reichmuth, L, Samuel, A, Dieng, M, Naojee, A, Hernandez, E, Alducin Tellez, C, Alexanderson-Rosas, E, Barragan, E, Cabada, M, Calderon, D, Carvajal-Juarez, I, Esparza, J, Gama-Moreno, M, Quinto, V, Gonzalez, N, Herrera-Zarza, M, Meave, A, Medina Verdugo, J, Melendez, G, Morales Murguia, R, Navarro Quiroz, C, Ornelas, M, Preciado-Anaya, A, Preciado-Gutierrez, O, Puente, A, Salazar, A, Rosales Uvera, S, Rosales-Uvera, S, Serna Macias, J, Sierra-Galan, L, Tirado Alderete, J, Vallejo, E, Faraggi, M, Sereegotov, E, Ben Rais, N, Alaoui, N, Kyiphyu, T, Oo, S, Win, S, Zar, H, Ghimire, R, Neupane, M, Glaudemans, A, Slart, R, Verschure, D, Allen, B, Edmond, J, Mckenzie, C, Tie, S, Van Pelt, N, Worthington, K, Young, C, Soli, I, Kana, S, Onubogu, U, Sani, M, Braten, A, Jorgensen, A, Vassbotn, H, Al Dhuhli, H, Jawa, Z, Tag, N, Fatima, S, Imran, M, Younis, M, Saadullah, M, Malo, Y, Lenturut-Katal, D, Castillo, M, Ortellado, J, Akhter, A, Cader, F, Hussain, R, Khan, S, Mandal, T, Nasreen, F, An, Y, Cao, D, Gong, L, Hou, Y, Jia, C, Li, T, Li, C, Liu, H, Liu, W, Liu, J, Ng, M, Shi, H, Tang, C, Wang, X, Wang, Z, Wang, Y, Wu, J, Yi, Y, Yuan, L, Zhang, T, Zhang, L, Chavez, E, Cruz, C, Llontop, C, Morales, R, Abrihan, P, Bustos-Barroso, A, Duldulao-Ogbac, M, Eduarte, C, Obaldo, J, Quinon, A, San Juan, B, San Juan, C, Sauler-Gomez, M, Uy, M, Kostkiewicz, M, Kunikowska, J, Teresinska, A, Urbanik, T, Bettencourt, N, Fontes-Carvalho, R, Gavina, C, Goncalves, L, Macedo, F, Moreno, N, Sousa, C, Timoteo, A, Vidigal, M, Al Heidous, M, Ramanathan, S, Arnous, S, Aytani, S, Byrne, A, Gleeson, T, Kerins, D, O'Brien, J, Bang, J, Bom, H, Cheon, M, Cheon, G, Cho, S, Hong, C, Jeong, Y, Kang, W, Kang, Y, Kim, J, Oh, S, So, Y, Song, H, Won, K, Yoo, S, Mitevska, I, Vavlukis, M, Salobir, B, Stalc, M, Benedek, T, Pop, M, Stan, C, Dariy, O, Gagarina, N, Itskovich, I, Karalkin, A, Kokov, A, Marina, G, Migunova, E, Pospelov, V, Ryzhkova, D, Sayfullina, G, Sergienko, V, Shurupova, I, Vakhromeeva, M, Valiullina, N, Zavadovsky, K, Zhuravlev, K, Abazid, R, Al Garni, T, Alasnag, M, Aljizeeri, A, Amer, H, Amro, A, Hamdy, H, Smettei, O, Saranovic, D, Vlajkovic, M, Keng, F, See, J, Berecova, Z, Mistinova, J, Evbuomwan, O, Govender, N, Hack, J, Hadebe, B, Hlongwa, K, Kaplan, M, Lakhi, H, Milos, K, Modiselle, M, More, S, Muambadzi, N, Scholtz, L, Barreiro-Perez, M, Blanco, I, Broncano, J, Camarero, A, Casans-Tormo, I, De Haro, J, Flotats, A, Garcia, E, Mendiguchia, C, Jimenez-Heffernan, A, Leta, R, Diaz, J, Vega, L, Manovel-Sanchez, A, Monzonis, A, Patrut, B, Pubul, V, Perez, R, Zeidan, N, Nanayakkara, D, Suliman, A, Engblom, H, Murtadha, M, Ostenfeld, E, Simonsson, M, Alkadhi, H, Buechel, R, Burger, P, Grani, C, Kamani, C, Kawel-Bohm, N, Klaeser, B, Manka, R, Prior, J, Kaewchur, T, Khiewvan, B, Kositwattanarerk, A, Namwongprom, S, Thientunyakit, T, Sayman, H, Yuksel, M, Sebikali, M, Okello, E, Korol, P, Noverko, I, Satyr, M, Ahmad, T, Alfakih, K, Andrade, I, Buckingham, S, Bularga, A, Carpenter, J, Cole, G, Cusack, D, David, S, Davis, P, Fairbairn, T, Ghosh, A, Ramkumar, P, Hamilton, M, Haque, F, Hudson, B, Johnstone, A, Karthikeyan, V, Kay, M, Khan, M, Kitt, J, Low, C, Mcalindon, E, Mccreavy, D, Morrissey, B, Motwani, M, Na, D, Nicol, E, Patel, D, Rodrigues, J, Rofe, C, Schofield, R, Semple, T, Sheikh, A, Sinha, A, Subedi, D, Topping, W, Tweed, K, Underwood, S, Weir-Mccall, J, Zuhairy, H, Abbasi, T, Abohashem, S, Abramson, S, Al-Mallah, M, Kumar, M, Balmer-Swain, M, Berman, D, Bernheim, A, Bhatti, S, Biederman, R, Bieging, E, Bingham, S, Bloom, S, Blue, S, Borges, A, Branch, K, Bravo, P, Buddhe, S, Budoff, M, Bullock-Palmer, R, Cahill, M, Candela, C, Cao, J, Chatterjee, S, Chatzizisis, Y, Chaudhuri, N, Cheezum, M, Chelliah, A, Chen, T, Chen, M, Chen, L, Chokshi, A, Chung, J, Danciu, S, Desisto, W, Dilorenzo, M, Doukky, R, Duvall, W, Ferencik, M, Foster, C, Fuisz, A, Gannon, M, German, D, Gerson, M, Geske, J, Hage, F, Haider, A, Haider, S, Hamirani, Y, Hassen, K, Hendel, R, Henkel, J, Horgan, S, Hyun, M, Janardhanan, R, Jerome, S, Kalra, D, Kassop, D, Kinkhabwala, M, Kinzfogl, G, Koch, B, Koweek, L, Krepp, J, Kwon, Y, Layer, J, Lesser, J, Leung, S, Lisske, B, Magurany, K, Markowitz, J, Mccullough, B, Moalemi, A, Moffitt, C, Montanez, J, Moore, W, Morayati, S, Mossa-Basha, M, Mrsic, Z, Murthy, V, Nagpal, P, Nelson, K, Nijjar, P, O'Quinn, R, Passen, E, Patil, P, Pursnani, A, Quachang, N, Rabbat, M, Ranjan, P, Lozano, P, Schemmer, M, Seifried, R, Shah, N, Shah, A, Shanbhag, S, Sharma, G, Skotnicki, R, Sobczak, M, Soman, P, Sorrell, V, Srichai, M, Streeter, J, Strickland, L, Suliman, S, Tebyanian, N, Thomas, D, Thompson, R, Uretsky, S, Vallurupalli, S, Vandyck-Acquah, M, Verma, V, Weinstein, J, Wolinsky, D, Zareba, K, Zgaljardic, M, Beretta, M, Ferrando, R, Kapitan, M, Mut, F, Djuraev, O, Rozikhodjaeva, G, Vera, L, Duc, B, Nguyen, X, Hiep Nguyen, P, Einstein, Andrew J, Hirschfeld, Cole, Williams, Michelle C, Vitola, Joao V, Better, Nathan, Villines, Todd C, Cerci, Rodrigo, Shaw, Leslee J, Choi, Andrew D, Dorbala, Sharmila, Karthikeyan, Ganesan, Lu, Bin, Sinitsyn, Valentin, Ansheles, Alexey A, Kudo, Takashi, Bucciarelli-Ducci, Chiara, Nørgaard, Bjarne Linde, Maurovich-Horvat, Pál, Campisi, Roxana, Milan, Elisa, Louw, Lizette, Allam, Adel H, Bhatia, Mona, Sewanan, Lorenzo, Malkovskiy, Eli, Cohen, Yosef, Randazzo, Michael, Narula, Jagat, Morozova, Olga, Pascual, Thomas N B, Pynda, Yaroslav, Dondi, Maurizio, Paez, Diana, and Cuocolo, Alberto

Subjects
cardiac testing, Health Personnel, delivery of health care, coronavirus, COVID-19, global health, 610 Medicine & health, cardiovascular disease, health personnel, humans, pandemics, surveys and questionnaires, coronaviru, Surveys and Questionnaires, Humans, Cardiology and Cardiovascular Medicine, Delivery of Health Care, Pandemics, COVID-19/epidemiology
Abstract

BACKGROUND: The extent to which health care systems have adapted to the COVID-19 pandemic to provide necessary cardiac diagnostic services is unknown.OBJECTIVES: The aim of this study was to determine the impact of the pandemic on cardiac testing practices, volumes and types of diagnostic services, and perceived psychological stress to health care providers worldwide.METHODS: The International Atomic Energy Agency conducted a worldwide survey assessing alterations from baseline in cardiovascular diagnostic care at the pandemic's onset and 1 year later. Multivariable regression was used to determine factors associated with procedure volume recovery.RESULTS: Surveys were submitted from 669 centers in 107 countries. Worldwide reduction in cardiac procedure volumes of 64% from March 2019 to April 2020 recovered by April 2021 in high- and upper middle-income countries (recovery rates of 108% and 99%) but remained depressed in lower middle- and low-income countries (46% and 30% recovery). Although stress testing was used 12% less frequently in 2021 than in 2019, coronary computed tomographic angiography was used 14% more, a trend also seen for other advanced cardiac imaging modalities (positron emission tomography and magnetic resonance; 22%-25% increases). Pandemic-related psychological stress was estimated to have affected nearly 40% of staff, impacting patient care at 78% of sites. In multivariable regression, only lower-income status and physicians' psychological stress were significant in predicting recovery of cardiac testing.CONCLUSIONS: Cardiac diagnostic testing has yet to recover to prepandemic levels in lower-income countries. Worldwide, the decrease in standard stress testing is offset by greater use of advanced cardiac imaging modalities. Pandemic-related psychological stress among providers is widespread and associated with poor recovery of cardiac testing.

Published
2022

192. Axenfeld-Rieger syndrome: more than meets the eye

Author

Linda M. Reis, Mohit Maheshwari, Jenina Capasso, Huban Atilla, Lubica Dudakova, Samuel Thompson, Lia Zitano, Guillermo Lay-Son, R. Brian Lowry, Jennifer Black, Joseph Lee, Ann Shue, Radka Kremlikova Pourova, Manuela Vaneckova, Pavlina Skalicka, Jana Jedlickova, Marie Trkova, Bradley Williams, Gabriele Richard, Kristine Bachman, Andrea H. Seeley, Deborah Costakos, Thomas M Glaser, Alex V. Levin, Petra Liskova, Jeffrey C. Murray, and Elena V. Semina

Subjects
Genetics, Genetics (clinical)
Abstract

BackgroundAxenfeld-Rieger syndrome (ARS) is characterised by typical anterior segment anomalies, with or without systemic features. The discovery of causative genes identified ARS subtypes with distinct phenotypes, but our understanding is incomplete, complicated by the rarity of the condition.MethodsGenetic and phenotypic characterisation of the largest reported ARS cohort through comprehensive genetic and clinical data analyses.Results128 individuals with causative variants inPITX2orFOXC1, including 81 new cases, were investigated. Ocular anomalies showed significant overlap but with broader variability and earlier onset of glaucoma forFOXC1-related ARS. Systemic anomalies were seen in all individuals withPITX2-related ARS and the majority of those withFOXC1-related ARS.PITX2-related ARS demonstrated typical umbilical anomalies and dental microdontia/hypodontia/oligodontia, along with a novel high rate of Meckel diverticulum.FOXC1-related ARS exhibited characteristic hearing loss and congenital heart defects as well as previously unrecognised phenotypes of dental enamel hypoplasia and/or crowding, a range of skeletal and joint anomalies, hypotonia/early delay and feeding disorders with structural oesophageal anomalies in some. Brain imaging revealed highly penetrant white matter hyperintensities, colpocephaly/ventriculomegaly and frequent arachnoid cysts. The expanded phenotype ofFOXC1-related ARS identified here was found to fully overlap features of De Hauwere syndrome. The results were used to generate gene-specific management plans for the two types of ARS.ConclusionSince clinical features of ARS vary significantly based on the affected gene, it is critical that families are provided with a gene-specific diagnosis,PITX2-related ARS orFOXC1-related ARS. De Hauwere syndrome is proposed to be a FOXC1opathy.

Published
2022

193. BANKSY: A Spatial Omics Algorithm that Unifies Cell Type Clustering and Tissue Domain Segmentation

Author

Vipul Singhal, Nigel Chou, Joseph Lee, Jinyue Liu, Wan Kee Chock, Li Lin, Yun-Ching Chang, Erica Teo, Hwee Kuan Lee, Kok Hao Chen, and Shyam Prabhakar

Abstract

Each cell type in a solid tissue has a characteristic transcriptome and spatial arrangement, both of which are observable using modern spatial omics assays. However, the common practice is still to ignore spatial information when clustering cells to identify cell types. In fact, spatial location is typically considered only when solving the related, but distinct, problem of demarcating tissue domains (which could include multiple cell types). We present BANKSY, an algorithm that unifies cell type clustering and domain segmentation by constructing a product space of cell and neighbourhood transcriptomes, representing cell state and microenvironment, respectively. BANKSY’s spatial kernel-based feature augmentation strategy improves per-formance and scalability on both tasks when tested on FISH-based and sequencing-based spatial omics data. Uniquely, BANKSY identified hitherto undetected niche-dependent cell states in two mouse brain regions. Lastly, we show that quality control of spatial omics data can be formulated as a domain identification problem and solved using BANKSY. BANKSY represents a biologically motivated, scalable, and versatile framework for analyzing spatial omics data.

Published
2022

194. Biological relevance of trophectoderm morphology: initial β-hCG measurements correlate with trophectoderm grading on euploid frozen embryo transfers

Author

Carlos Hernandez-Nieto, Joseph Lee, Tamar Alkon-Meadows, Christine Briton-Jones, Benjamin Sandler, Alan Copperman, and Tanmoy Mukherjee

Subjects
Pregnancy Rate, Obstetrics and Gynecology, General Medicine, Fertilization in Vitro, Embryo Transfer, Abortion, Spontaneous, Blastocyst, Reproductive Medicine, Pregnancy, Infertility, Genetics, Humans, Female, Genetics (clinical), Developmental Biology, Retrospective Studies
Abstract

To analyze the correlation between TE grading and initial β-hCG serum level after single euploid embryo transfer. Secondarily, to explore the association between TE grading with subsequent IVF outcomes.Retrospective cohort analysis.Single, academic, private infertility and assisted reproductive care institute.Infertility patients who underwent a single euploid embryo transfer that resulted in a positive pregnancy test.β-hCG measurements.Correlation between TE grade with first β-hCG measurement. Second outcome measurements included ongoing pregnancy, biochemical pregnancy loss, and clinical pregnancy loss rates.2,798 cases were analyzed. A significant difference in initial β-hCG measurement among groups (TE A: median 143.4 mIU/mL IQR 79.2-211.2; TE B: 119 mIU/mL IQR 57.1-177.8; TE C: 82.4 mIU/mL IQR 36.3-136.4, p ≤ 0.0001) was observed. There was a significant correlation found between the TE grade and β-hCG measurements (p ≤ 0.0001, rIn patients with euploid embryos, TE grade correlates with the first pregnancy test measurement of β-hCG. We propose this finding helps to appoint a relevant link between morphology assessment and early embryo development in vivo.

Published
2022

195. Evaluation of the High Altitude Lidar Observatory Methane Retrievals During the Summer 2019 ACT-America Campaign

Author

Rory A. Barton-Grimley, Amin R. Nehrir, Susan A. Kooi, James E. Collins, David B. Harper, Anthony Notari, Joseph Lee, Joshua P. DiGangi, Yonghoon Choi, and Kenneth J. Davis

Abstract

The NASA Langley Research Center High Altitude Lidar Observatory (HALO) is a multi-function and modular lidar developed to address the observational needs of NASA’s weather, climate, carbon cycle, and atmospheric composition focus areas. HALO measures atmospheric H2O mixing ratios, CH4 mole fractions, and aerosol/cloud optical properties using the Differential Absorption Lidar (DIAL) and High Spectral Resolution Lidar (HSRL) techniques, respectively. In 2019 HALO participated in the NASA Atmospheric Carbon and Transport – America campaign on board the NASA C-130 to compliment a suite of greenhouse gas in-situ sensors and provide, for the first time, simultaneous measurements of column CH4 and aerosol/cloud profiles. HALO operated in 18 of 19 science flights where the DIAL and Integrated Path Differential Absorption lidar (IPDA) techniques at 1645 nm were used for column and multi-layer measurements of CH4 mole fractions, the HSRL and backscatter techniques at 532 and 1064 nm, respectively, for retrievals of aerosol backscatter, extinction, depolarization, and mixing layer heights. In this paper we present HALO’s measurement theory for the retrievals of column and multi-layer XCH4, retrieval accuracy and precision including methods for bias correction, and a comprehensive total column XCH4 validation comparison to in-situ observations. Comparisons of HALO XCH4 to in-situ derived XCH4, collected during spiral ascents and descents, indicates mean difference of 2.54 ppb and standard deviation of the differences of 16.66 ppb when employing 15 s along track averaging (< 3 km). A high correlation coefficient of R = 0.9058 was observed for the 11 in-situ spiral comparisons. Column XCH4 measured by HALO over regional scales covered by the ACT-America campaign are compared against in-situ CH4 measurements carried out within the planetary boundary layer (PBL) from both the C-130 and B200 aircraft. Favorable correlation between the in-situ point measurements within the PBL and the remote column measurements from HALO elucidates the sensitivity of a column integrating lidar to CH4 variability within the PBL, where surface fluxes dominate the signal. Novel capabilities for CH4 profiling in regions of clear air using the DIAL technique are presented and validated for the first time. Additionally, profiling of CH4 is used to apportion the PBL absorption from the total column and is compared to previously reported IPDA cloud slicing techniques that estimate PBL columns using strong echoes from fair weather cumulus. The analysis presented here points towards HALO’s ability to retrieve accurate and precise CH4 columns with the prospects for future multi-layer profiling in support of future suborbital campaigns.

Published
2022

198. A High-Throughput, Precipitating Colorimetric Sandwich ELISA Microarray for Shiga Toxins

Author

Andrew Gehring, Xiaohua He, Pina Fratamico, Joseph Lee, Lori Bagi, Jeffrey Brewster, George Paoli, Yiping He, Yanping Xie, Craig Skinner, Charlie Barnett, and Douglas Harris

Subjects
B-PER, colorimetry, detection, ELISA, high-throughput, microarray STEC, microtiter plate, precipitating, toxin typing, Medicine
Abstract

Shiga toxins 1 and 2 (Stx1 and Stx2) from Shiga toxin-producing E. coli (STEC) bacteria were simultaneously detected with a newly developed, high-throughput antibody microarray platform. The proteinaceous toxins were immobilized and sandwiched between biorecognition elements (monoclonal antibodies) and pooled horseradish peroxidase (HRP)-conjugated monoclonal antibodies. Following the reaction of HRP with the precipitating chromogenic substrate (metal enhanced 3,3-diaminobenzidine tetrahydrochloride or DAB), the formation of a colored product was quantitatively measured with an inexpensive flatbed page scanner. The colorimetric ELISA microarray was demonstrated to detect Stx1 and Stx2 at levels as low as ~4.5 ng/mL within ~2 h of total assay time with a narrow linear dynamic range of ~1–2 orders of magnitude and saturation levels well above background. Stx1 and/or Stx2 produced by various strains of STEC were also detected following the treatment of cultured cells with mitomycin C (a toxin-inducing antibiotic) and/or B-PER (a cell-disrupting, protein extraction reagent). Semi-quantitative detection of Shiga toxins was demonstrated to be sporadic among various STEC strains following incubation with mitomycin C; however, further reaction with B-PER generally resulted in the detection of or increased detection of Stx1, relative to Stx2, produced by STECs inoculated into either axenic broth culture or culture broth containing ground beef.

Published
2014
Full Text
View/download PDF

199. Delivering an Organizational Leadership PhD Program at a Distance: University of Oklahoma

Author

Rodgers, Joseph Lee and Williams, T. H. Lee

Abstract

In this chapter, the authors identify and review a number of key features in the successful development and maintenance of a PhD program delivered at a distance. The University of Oklahoma's PhD program in organizational leadership was developed in the early 1990s and delivered (primarily, but not completely) to military personnel and families through a contract with the U.S. Army. The authors identify, review, and evaluate the features that have resulted in a successful distance-oriented PhD program. They begin with a short case study of successful PhD candidates.

Published
2011
Full Text
View/download PDF

200. Black Ink and Red Ink (BIRI) Testing: A Testing Method to Evaluate Both Recall and Recognition Learning in Accelerated Adult-Learning Courses

Author

Rodgers, Joseph Lee and Rodgers, Jacci L.

Abstract

We propose, develop, and evaluate the black ink-red ink (BIRI) method of testing. This approach uses two different methods within the same test administration setting, one that matches recognition learning and the other that matches recall learning. Students purposively define their own tradeoff between the two approaches. Evaluation of the method in several different class content and class format settings demonstrates the value of the method in actual classroom settings. In particular, the BIRI approach can substantially reduce test anxiety in accelerated adult-learning settings. (Contains 2 notes.)

Published
2011
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results