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3,610 results on '"Tejani, A"'

1. DKN-01 in Combination With Tislelizumab and Chemotherapy as First-Line Therapy in Advanced Gastric or Gastroesophageal Junction Adenocarcinoma: DisTinGuish.

Author: Klempner, Samuel, Sonbol, Mohamad, Wainberg, Zev, Uronis, Hope, Chiu, Vi, Scott, Aaron, Iqbal, Syma, Tejani, Mohamedtaki, Chung, Vincent, Stilian, Melissa, Thoma, Mathis, Zhang, Ying, Kagey, Michael, Baum, Jason, Sirard, Cynthia, Altura, Rachel, and Ajani, Jaffer
Subjects: Humans, Male, Stomach Neoplasms, Middle Aged, Female, Antibodies, Monoclonal, Humanized, Aged, Antineoplastic Combined Chemotherapy Protocols, Esophagogastric Junction, Adenocarcinoma, Esophageal Neoplasms, Adult, Capecitabine, Oxaliplatin, Progression-Free Survival
Abstract: PURPOSE: The outcomes of anti-PD-1 agents plus fluoropyrimidine/platinum in frontline advanced gastroesophageal adenocarcinomas (aGEAs) remain poor. We investigated the safety, tolerability, and activity of fluoropyrimidine/oxaliplatin and tislelizumab with the DKK1-neutralizing antibody DKN-01 in aGEAs in a phase IIa open-label study. PATIENTS AND METHODS: Patients had untreated human epidermal growth factor receptor 2-negative aGEAs, RECIST v1.1 measurable disease, Eastern Cooperative Oncology Group (ECOG) performance status 0-1, and adequate organ function. Patients received intravenous DKN-01 300 mg once every 2 weeks, tislelizumab 200 mg once every 3 weeks, oxaliplatin 130 mg/m2 once every 3 weeks, and capecitabine 1,000 mg/m2 twice daily on days 1-15 of each 21-day cycle. The primary end point was safety and tolerability. Key secondary end points included objective response rate (ORR) by RECISTv1.1, progression-free survival (PFS), and overall survival (OS). RESULTS: Between September 18, 2020, and April 8, 2021, 25 patients were enrolled. All patients who received at least one dose of DKN-01 were included in the safety analysis. Most patients had gastroesophageal junction tumors, median age was 61 years, 76% were male, and 55% were ECOG of 0. All patients reported at least one treatment-emergent adverse event. The ORR was 73% (95% CI, 49.8 to 89.3), with a disease control rate of 95%. The ORR was 90% (95% CI, 55.5 to 99.7) in the DKK1-high tumor patients and 67% (95% CI, 29.9 to 92.5) in the DKK1-low tumor patients. The median PFS was 11.3 months (95% CI, 5.8 to 12.0) and the 12-month PFS rate was 33%. The median OS was 19.5 months (95% CI, 15.2 to 24.4) with a 12-month OS rate of 76% and an 18-month OS rate of 55%. CONCLUSION: DKN-01 can be safely combined with frontline fluoropyrimidine/oxaliplatin and tislelizumab and demonstrates encouraging activity independent of PD-L1 expression levels. A randomized phase II trial is ongoing (ClinicalTrials.gov identifier: NCT04363801).
Published: 2025

2. Association of personalized and tumor-informed ctDNA with patient survival outcomes in pancreatic adenocarcinoma.

Author: Botta, Gregory, Abdelrahim, Maen, Drengler, Ronald, Aushev, Vasily, Esmail, Abdullah, Laliotis, George, Brewer, Chris, George, Giby, Abbate, Steven, Chandana, Sreenivasa, Tejani, Mohamedtaki, Malla, Midhun, Bansal, Dhruv, Rivero-Hinojosa, Samuel, Spickard, Erik, McCormick, Nicole, Cecchini, Michael, Lacy, Jill, Fei, Naomi, Kasi, Pashtoon, Kasi, Anup, Dayyani, Farshid, Hanna, Diana, Sharma, Shruti, Malhotra, Meenakshi, Aleshin, Alexey, Liu, Minetta, and Jurdi, Adham
Subjects: KRAS, ctDNA, molecular residual disease, pancreatic adenocarcinoma, Humans, Circulating Tumor DNA, Male, Pancreatic Neoplasms, Female, Aged, Middle Aged, Retrospective Studies, Carcinoma, Pancreatic Ductal, Aged, 80 and over, Precision Medicine, Adult, Biomarkers, Tumor, Adenocarcinoma
Abstract: INTRODUCTION: Personalized and tumor-informed circulating tumor DNA (ctDNA) testing is feasible and allows for molecular residual disease (MRD) identification in patients with pancreatic ductal adenocarcinoma (PDAC). METHODS: In this retrospective analysis of commercial cases from multiple US institutions, personalized, tumor-informed, whole-exome sequenced, and germline-controlled ctDNA levels were quantified and analyzed in patients with PDAC. Plasma samples (n = 1329) from 298 clinically validated patients were collected at diagnosis, perioperatively (MRD-window; within 2-12 weeks after surgery, before therapy), and during surveillance (>12 weeks post-surgery if no ACT or starting 4 weeks post-ACT) from November 2019 to March 2023. RESULTS: Of the initially diagnosed patients with stages I-III PDAC who went for resection, the median follow-up time from surgery was 13 months (range 0.1-214). Positive ctDNA detection rates were 29% (29/100) and 29.6% (45/152) during the MRD and surveillance windows, respectively. Positive ctDNA detection was significantly associated with shorter DFS within the MRD window (median DFS of 6.37 months for ctDNA-positive vs 33.31 months for ctDNA-negative patients; HR: 5.45, P
Published: 2024

3. Accurate optimizing proton exchange membrane fuel cell parameters using fitness deviation-based adaptive differential evolution

Author: Jangir, Pradeep, Arpita, Agrawal, Sunilkumar P., Pandya, Sundaram B., Parmar, Anil, Tejani, Ghanshyam G., and Trivedi, Bhargavi Indrajit
Published: 2025
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4. A cooperative strategy-based differential evolution algorithm for robust PEM fuel cell parameter estimation

Author: Jangir, Pradeep, Arpita, Agrawal, Sunilkumar P., Pandya, Sundaram B., Parmar, Anil, Kumar, Sumit, Tejani, Ghanshyam G., and Abualigah, Laith
Published: 2025
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5. Public Crime Mapping in Canada: Interpreting RAIDS Online

Author: Eikelboom, Alexander, Martini, Elysia, Ruiz, Luisa, St. Pierre, Alison D., and Tejani, Ali
Published: 2017

6. Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update.

Author: Tejani, Ali, Klontzas, Michail, Gatti, Anthony, Mongan, John, Moy, Linda, Park, Seong, and Kahn, Charles
Subjects: Artificial Intelligence, Humans, Checklist, Diagnostic Imaging
Abstract: To address the rapid evolution of artificial intelligence in medical imaging, the authors present the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) 2024 Update.
Published: 2024

7. Building Climate Change into Medical Education: A Society of General Internal Medicine Position Statement

Author: Ghosh, Arnab K., Azan, Alexander, Basu, Gaurab, Bernstein, Joanna, Gillespie, Elizabeth, Gordon, Lesley B., Krishnamurthy, Sudarshan, LeFrancois, Darlene, Marcus, Erin N., Tejani, Mehul, Townley, Theresa, Rimler, Eva, and Whelan, Heather
Published: 2024
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8. Reliability-based multi-objective optimization of trusses with greylag goose algorithm

Author: Mashru, Nikunj, Tejani, Ghanshyam G., and Patel, Pinank
Published: 2025
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9. Application of the 2-archive multi-objective cuckoo search algorithm for structure optimization

Author: Tejani, Ghanshyam G., Mashru, Nikunj, Patel, Pinank, Sharma, Sunil Kumar, and Celik, Emre
Published: 2024
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10. Modeling of concrete-filled PVC tube columns confined with CFRP strips under uniaxial eccentric compression: machine learning and finite element approaches

Author: Yan Wang, Mohamed A. Elmeligy, Haytham F. Isleem, Asmaa Y. Hamed, Diyar N. Qader, Mohamed Sharaf, Pradeep Jangir, Arpita, and Ghanshyam G. Tejani
Subjects: Carbon fiber reinforced polymer, Finite element modeling, Concrete-filled PVC tubes, Eccentric loading, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95
Abstract: Abstract This paper presents an analytical and finite element modeling (FEM) investigation on the carbon fiber reinforced polymer concrete-filled polyvinyl chloride tube (CCFPT) concrete columns under axial eccentric compression. The study involved collecting experimental data from 32 CFPT columns confined with CFRP from literature and modeling them using FEM in ABAQUS. A parametric study was conducted on 260 CCFRP concrete columns, examining various parameters such as eccentricity, number of CFRP layers, thickness of PVC tube, column slenderness ratio, CFRP spacing, thickness of CFRP strips, confined concrete strength, and concrete core diameter. The effects of these parameters on the ultimate load and strain capacity were analyzed. Analytical models were developed to express the confined concrete strength and strain as functions of the constituent properties and dimensionless confinement parameters. The findings revealed that increasing eccentricity significantly reduced the ultimate load (up to 45%) and strain (up to 67%) capacities. Adding more layers of CFRP increased strength and strain capacities by 25% when going from 2 to 3 layers at a 20 mm eccentricity. Thicker PVC tubes increased load capacity by preventing buckling, but had inconsistent effects on strain. Higher slenderness ratios decreased both capacities, particularly strain. Six machine learning models were employed to predict the load-carrying capacity and confined ultimate strain. Various performance metrics, data visualization techniques, SHAP analysis, sensitivity analysis, and error characteristic curves were used to evaluate the prediction performance and analyze the impact of input parameters. The findings revealed that increasing eccentricity and CFRP layers lead to reduced ultimate load and strain capacities, while higher slenderness ratios result in increased ultimate loads. The study concluded that CCFPT columns with optimized CFRP wrapping can offer superior performance for eccentrically loaded columns.
Published: 2025
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11. Zero-day exploits detection with adaptive WavePCA-Autoencoder (AWPA) adaptive hybrid exploit detection network (AHEDNet)

Author: Ahmed A. Mohamed, Abdullah Al-Saleh, Sunil Kumar Sharma, and Ghanshyam G. Tejani
Subjects: Zero-Day Exploits, Cyber Threats, Detection Strategy, Accuracy, Reliability, Feature Extraction, Medicine, Science
Abstract: Abstract This paper introduces a new probabilistic composite model for the detection of zero-day exploits targeting the capabilities of existing anomaly detection systems in terms of accuracy, computational time, and adaptability. To address the issues mentioned above, the proposed framework consisted of three novel elements. The first key innovations are the introduction of “Adaptive WavePCA-Autoencoder (AWPA)” for pre-processing stage which address the denoising and dimensionality reduction, and contributes to the general dependability and accuracy of zero-day exploit detection. Additionally, a novel “Meta-Attention Transformer Autoencoder (MATA)” for enhancing feature extraction which address the subtlety issue, and improves the model’s ability and flexibility to detect new security threats, and a novel “Genetic Mongoose-Chameleon Optimization (GMCO)” was introduced for effective feature selection in the case of addressing the efficiency challenges. Furthermore, a novel “Adaptive Hybrid Exploit Detection Network (AHEDNet)” was introduced which address the dynamic ensemble adaptation issue where the accuracy of anomaly detection is very high with low false positives. The experimental results show the proposed model outperforms the other models of dataset 1 in accuracy of 0.988086 and 0.990469, precision of 0.987976 and 0.990628, recall of 0.988298 and 0.990435, with the lowest Hamming Loss of 0.011914 and 0.009531, also, the proposed model outperforms the other models of dataset 2 in accuracy of 0.9819 and 0.9919, precision of 0.9868 and 0.9968, recall of 0.9813 and 0.9923, with the lowest Hamming Loss of 0.0209 and 0.0109, thus the proposed model outperformed the other models in detecting zero-day exploits.
Published: 2025
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12. PBVit: A Patch-Based Vision Transformer for Enhanced Brain Tumor Detection

Author: Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela, Ghanshyam G. Tejani, Sunil Kumar Sharma, and Ahmad Raza Khan
Subjects: Brain tumor detection, vision transformer, healthcare brain tumor detection, CNN PBvit, DETIR, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract: Brain Tumor holds a significant holds in human health, classified into three primary types: glioma, meningioma, and pituitary tumors. Early detection and accurate classification are vital for effective diagnosis and lowering healthcare costs. In PBvit we presents a novel brain tumor detection framework, the Patch Base Vision Transformer (PBVit). PBVit adopts a patch-based approach where input tumor images are divided into fixed-size patches, with each patch treated as a token. These image patches are linearly projected into lower-dimensional token embeddings, and positional encodings are added to help the model understand spatial relationships within the image. PBVit enhances the detection of intricate patterns and anomalies in brain scans, improving diagnostic accuracy. We trained PBVit using the Figshare brain tumor dataset and observed notable performance improvements compared to traditional CNN-based models. The PBVit reached an accuracy of 95.8%, a precision of 95.3%, a recall of 93.2%, and an F1-score of 92%, indicating its robustness in identifying brain tumors. The promising results demonstrate that PBVit can play a important role in facilitating early-stage diagnosis, reducing unnecessary biopsies, and ultimately enhancing patient care, while also showcasing the potential of transformer-based architectures in medical imaging.
Published: 2025
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13. Securing cyber-physical robotic systems for enhanced data security and real-time threat mitigation

Author: Akashdeep Bhardwaj, Salil Bharany, Ateeq Ur Rehman, Ghanshyam G. Tejani, and Seada Hussen
Subjects: Cyber-physical system, Robotics, Cybersecurity attack, Security framework, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95
Abstract: Abstract The convergence of data security and operational efficiency across various sectors, such as manufacturing, industry, logistics, agriculture, healthcare, and internet services, has been significantly enhanced using robotic-driven platforms and protocols. Notably, there has been a notable uptick in sophisticated cyberattacks targeting corporate and industrial robotic systems. These attacks are activated following the integration of the Internet of Things, the Internet, and organizational networks, as industrial units are interconnected. This study has formulated security-oriented criteria-based indicators for cyber-physical systems (CPS), encompassing industrial components and embedded sensors responsible for processing information logs and procedures. In this research, a robust security framework based on attack trees has been introduced, strategically focusing on addressing critical exploitable vulnerabilities rather than attempting to cover all CPS devices comprehensively. The systematic categorization of each physical device and its associated integrated sensors has been accomplished via data from logs and an information repository contained within a sensor index device library.
Published: 2025
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14. Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data

Author: Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, and Pradeep Jangir
Subjects: Machine learning models, Ensemble methods, Explainability, Challenges in statistical methods, Insights into customer behavior, Resilience, Environmental sciences, GE1-350
Abstract: Abstract Customer turnover is a crucial issue in banking since maintained profitability depends on keeping clients. This work aims to categorize consumer turnover in banks by using a new ensemble approach combining many machine learning methods, hence enhancing churn prediction models. Using a comprehensive dataset including demographic, financial, and behavioral data—such as credit score, account balance, tenure, and activity levels—the study employs the goal variable revealing if a customer has left the bank. The study starts with univariate, bivariate, and multivariate feature exploration and subsequently uses the Interquartile Range (IQR) approach to identify outliers thereby improving the data quality. Five models—K-Nearest Neighbors, Support Vector Classifier, Random Forest, Decision Tree, and XGBoost—a Voting Classifier ensemble—are used to estimate project churn. Building upon all the strengths of each model, this approach improves the prediction of classification and provides a balanced and highly robust classification system. The applied approaches are K-Nearest Neighbors (KNN), Support Vector Classifier (SVC), Random Forest, Decision Tree, and XGBoost within a Voting Classifier configuration. The performance of the Voting Classifier without SMOTE yields the following results: Accuracy: 0.87, precision: 0.87, recall: 0.80, and F1-Score: 0.87. The proposed model that extend the base model using SMOTE (Synthetic Minority Over-sampling Technique), yields a higher prediction accuracy of 0.90, precision of 0.90, recall of 0.90 and F1-Score of 0.90. This enhancement is proving the efficiency of SMOTE to handle the class imbalance problem in order to render the churn prediction more balanced and reliable system. The proposed approach assures a reliable solution to the strategies to retain the customers in the banking organisations.
Published: 2025
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15. Reconfigured single- and double-diode models for improved modelling of solar cells/modules

Author: Emre Çelik, Mehmet Karayel, Dinçer Maden, Mahmoud Abdel-Salam, Nihat Öztürk, Orhan Kaplan, Ghanshyam G. Tejani, Sunil Kumar Sharma, and Mohammed Baljon
Subjects: PV modeling, I-V characteristic, Reconfigured SDM, Reconfigured DDM, Parameter identification, Squirrel search algorithm, Medicine, Science
Abstract: Abstract Proper modeling of PV cells/modules through parameter identification based on the real current-voltage (I-V) data is important for the efficiency of PV systems. Most related works have concentrated on the classical single-diode model (SDM) and double-diode model (DDM) and their parameter extraction by various metaheuristic algorithms. In order to render more accurate and representative modeling, this paper adds a small resistance in series with the diodes in SDM and DDM. The new models are named reconfigured SDM (Reconfig-SDM) and reconfigured DDM (Reconfig-DDM), and they have not been studied so far as we know. A squirrel search algorithm (SSA) is employed to globally find the parameters of the new models. The performance achieved is experimentally tested on both a commercial RTC France solar cell and a CS6P-220P polycrystalline PV module located at Düzce University in Türkiye. A vivid comparison of experimental findings, observation, and analysis clearly demonstrates that the proposed Reconfig-SDM and Reconfig-DDM tuned by the SSA have better capacity and effectiveness for modeling PV devices than some cutting-edge approaches. Specifically, compared with the best-performing approach in the literature, Reconfig-SDM and Reconfig-DDM could reduce the error rate up to 0.37% and 2.58% for the solar cell, and 3.21% and 29.0% for the solar module.
Published: 2025
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16. Optimization of truss structures with two archive-boosted MOHO algorithm

Author: Ghanshyam G. Tejani, Sunil Kumar Sharma, Nikunj Mashru, Pinank Patel, and Pradeep Jangir
Subjects: Dual-archive strategy, Truss, structural optimization, Pareto dominance, Diversity and Swarm analysis, Convergence behavior, Engineering (General). Civil engineering (General), TA1-2040
Abstract: This study identifies the Two-Archive Multi-Objective Hippopotamus Optimization Algorithm (MOHO2Arc) as an advanced multi-objective optimization method for optimizing five widely recognized truss structures. The primary objectives are to minimize the structures' mass and maximum nodal displacement. MOHO2Arc improves upon the standard Multi-Objective Hippopotamus Optimization (MOHO) by incorporating a two-archive strategy, significantly boosting solution diversity and optimization efficiency. A thorough comparative analysis was performed to evaluate the performance of the MOHO2Arc against other established multi-objective optimization algorithms. Performance metrics were applied to assess each algorithm's ability to generate diverse, high-quality solutions. The results demonstrate that MOHO2Arc substantially improves solution diversity and quality. Moreover, statistical analysis using Friedman's test further confirms that MOHO2Arc consistently outperforms the other algorithms in optimization tasks. This research highlights MOHO2Arc as an efficient and promising multi-objective truss structure optimization approach, offering notable advancements over current state-of-the-art techniques.
Published: 2025
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17. Topology and Size Optimization

Author: Savsani, Vimal, Tejani, Ghanshyam, Patel, Vivek, Savsani, Vimal, Tejani, Ghanshyam, and Patel, Vivek
Published: 2024
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18. Validation

Author: Savsani, Vimal, Tejani, Ghanshyam, Patel, Vivek, Savsani, Vimal, Tejani, Ghanshyam, and Patel, Vivek
Published: 2024
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19. MATLAB Codes of Metaheuristics Methods

Author: Savsani, Vimal, Tejani, Ghanshyam, Patel, Vivek, Savsani, Vimal, Tejani, Ghanshyam, and Patel, Vivek
Published: 2024
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20. Size Optimization

Author: Savsani, Vimal, Tejani, Ghanshyam, Patel, Vivek, Savsani, Vimal, Tejani, Ghanshyam, and Patel, Vivek
Published: 2024
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21. Metaheuristics Methods

Author: Savsani, Vimal, Tejani, Ghanshyam, Patel, Vivek, Savsani, Vimal, Tejani, Ghanshyam, and Patel, Vivek
Published: 2024
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22. Introduction

Author: Savsani, Vimal, Tejani, Ghanshyam, Patel, Vivek, Savsani, Vimal, Tejani, Ghanshyam, and Patel, Vivek
Published: 2024
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23. Topology, Shape, and Size Optimization

Author: Savsani, Vimal, Tejani, Ghanshyam, Patel, Vivek, Savsani, Vimal, Tejani, Ghanshyam, and Patel, Vivek
Published: 2024
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24. Methodology

Author: Savsani, Vimal, Tejani, Ghanshyam, Patel, Vivek, Savsani, Vimal, Tejani, Ghanshyam, and Patel, Vivek
Published: 2024
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25. Relationship Between Severity of Ischemia and Coronary Artery Disease for Different Stress Test Modalities in the ISCHEMIA Trial

Author: Reynolds, Harmony R., Page, Courtney B., Shaw, Leslee J., Berman, Daniel S., Chaitman, Bernard R., Picard, Michael H., Kwong, Raymond Y., Min, James K., Leipsic, Jonathon, Mancini, G.B. John, Budoff, Matthew J., Hague, Cameron J., Senior, Roxy, Szwed, Hanna, Bhargava, Balram, Celutkiene, Jelena, Gadkari, Milind, Bainey, Kevin R., Doerr, Rolf, Ramos, Ruben B., Ong, Peter, Naik, Sudhir R., Steg, Philippe Gabriel, Goetschalckx, Kaatje, Chow, Benjamin J.W., Scherrer-Crosbie, Marielle, Phillips, Lawrence, Mark, Daniel B., Spertus, John A., Alexander, Karen P., O’Brien, Sean M., Boden, William E., Bangalore, Sripal, Stone, Gregg W., Maron, David J., Hochman, Judith S., Mavromatis, Kreton, Linefsky, Jason, Miller, Todd, Banerjee, Subhash, Newman, Jonathan D., Donnino, Robert M., Saric, Muhamed, Abdul-Nour, Khaled, Stone, Peter H., Jang, James J., Yee, Gennie, Weitz, Steven, Arnold, Suzanne, James Henry, O’Keefe, Jr, Shapiro, Michael D., Fein, Steven A., Torosoff, Mikhail T., Lyubarova, Radmila, Mookherjee, Sulagna, Drzymalski, Krzysztof, McFalls, Edward O., Garcia, Santiago A., Bertog, Stefan C., Siddiqui, Rizwan A., Ishani, Areef, Hansen, Ronnell A., Georges Khouri, Michel, Goldberg, Jonathan L., Goldweit, Richard, Cohen, Ronny A., Mirrer, Brooks, Navarro, Victor, Winchester, David E., Kronenberg, Marvin, McFarren, Christopher, Heitner, John F., Dauber, Ira M., Cannan, Charles, Sudarshan, Sriram, Mehta, Puja K., McDaniel, Michael, Lerakis, Stamatios, Quyyumi, Arshed, Wenger, Nanette K., Hedgepeth, Chester M., Hurlburt, Heather, Rosen, Alan, Sahul, Zakir, Leung, Steve, Reda, Hassan, Ziada, Khaled, Setty, Sampoornima, Barua, Rajat S., Hage, Fadi, Davies, James E., Leesar, Massoud, Heo, Jaekyeong, Iskandrian, Amy, Al Solaiman, Firas, Singh, Satinder, Dajani, Khaled, El-Hajjar, Mohammad, Der Mesropian, Paul, Sacco, Joseph, McCandless, Brian, Orgera, Marisa, Sidhu, Mandeep S., Arif, Imran, Kerr, Hanan, Trejo (Gutierrez), Jorge F., Fletcher, Gerald, Lane, Gary E., Neeson, Lynn M., Parikh, Pragnesh P., Pollak, Peter M., Shapiro, Brian P., Landolfo, Kevin, Gemignani, Anthony, OʼRourke, Daniel, Meadows, Judith L., Call, Jason T., Hannan, Joseph, Bojar, Robert, Kumar, Deepti, Mukai, John, Martin, Edward T., Vorobiof, Gabriel, Moorman, Alec, Kinlay, Scott, Hamburger, Robert J., Rocco, Thomas P., Bhatt, Deepak L., Croce, Kevin, Quin, Jacquelyn A., Anumpa, Jati, Zenati, Marco, Faxon, David P., Rayos, Glenn, Seedhom, Ashraf, Sullenberger, Lance, Kumkumian, Gregory, Sedlis, Steven P., Donnino, Robert M., Lorin, Jeffrey, Tamis-Holland, Jacqueline E., Kornberg, Robert, Leber, Robert, Saba, Souheil, Lee, Michael W., Small, Delano R., Nona, Wassim, Alexander, Patrick B., Rehman, Iram, Badami, Umesh, Marzo, Kevin, Robbins, Inga H., Levite, Howard A., Shetty, Sanjay, Patel, Mayuri, Hamroff, Glenn S., Little, Raymond W., Zimbelman, Brandi D., Lui, Charles Y., Smith, Brigham R., Vezina, Daniel P., Khor, Lillian L., Abraham, Josephine D., Bull, David A., McKellar, Stephen H., Booth, David, Kotter, John, Abdel-Latif, Ahmed, Hu, Bob, Labovitz, Arthur J., Berlowitz, Michael, Rogal, Philip, Matar, Fadi, Caldeira, Christiano, Rodriguez, Fatima, Schnittger, Ingela, Fearon, William F., Deedwania, Prakash, Reddy, Kiran, Sweeny, Joseph, Spizzieri, Christopher, Hochberg, Claudia P., Salerno, William D., Wyman, Ray, Zarka, Amer, Shah, Anil V., Haldis, Thomas, Kohn, Jeffrey A., Girotra, Saket, Almousalli, Omar, Krishnam, Mayil S., Milliken, Jeffrey C., Patel, Pranav M., Seto, Arnold H., Harley, Kevin T., Gibson, Michael A., Allen, Byron J., Coram, Rita, Thomas, Sabu, Schwartz, Ronald G., Chen, Wei, El Shahawy, Mahfouz, Stafford, James, Abernethy, William B., Zurick, Andrew, Meyer, Thomas M., Morford, Ronald G., Rutkin, Bruce, Bokhari, Sabahat, Sokol, Seth I., Meisner, Jay, Hamzeh, Ihab, Misra, Arunima, Matthew, Wall, Jr, De Rosen, Veronica Lenges, Alam, Mahboob, Turner, Michael C., Mulhearn, Thomas J., Good, Arnold P., Shammas, Nicolas W., Chilton, Robert, Nguyen, Patricia K., Jezior, Matthew, Gordon, Paul C., Crain, Thomas, Stenberg, Robert, Pedalino, Ronald P., Wiesel, Joseph, Juang, George J., Al-Amoodi, Mohammed, Wohns, David, Lader, Ellis W., Mumma, Michael, Dharmarajan, Lekshmi, Joseph F.X., McGarvey, Jr, Downes, Thomas R., Luckasen, Gary J., Cheong, Benjamin, Potluri, Srinivasa, Mastouri, Ronald A., Breall, Jeffery A., Revtyak, George E., Bazeley, Jonathan W., Li, Dayuan, Giedd, Kenneth, Old, Wayne, Burt, Francis, Sokhon, Kozhaya, Gopal, Deepika, Valeti, Uma S., Kobashigawa, Jon, Chakanalil Govindan, Sajeev, Gopalan Nair, Rajesh, Nanjappa Manjunath, Cholenahally, Moorthy, Nagaraja, Cholenahally Manjunath, Satvic, Narayanappa, Suryaprakash, Pandit, Neeraj, Kumar Nath, Ranjit, Dwivedi, S.K., Narain, V.S., Chandra, Sharad, Wander, Gurpreet S., Tandon, Rohit, Ralhan, Sarju, Aslam, Naved, Goyal, Abhishek, Karthikeyan, G., Ramakrishnan, S., Seth, Sandeep, Yadav, Rakesh, Singh, Sandeep, Roy, Ambuj, Parakh, Neeraj, Kumar Verma, Sunil, Narang, Rajiv, Mishra, Sundeep, Naik, Nitish, Sharma, Gautam, Kumar Choudhary, Shiv, Patel, Chetan, Gulati, Gurpreet, Sharma, Sanjeev, Bahl, V.K., Mathew, Anoop, Punnoose, Eapen, Gadage, Siddharth, Umesh Pillay, Tapan, Satheesh, Santhosh, Mathur, Atul, Christopher, Johann, Menon, Rajeev, Kumar, Nirmal, Oomman, Abraham, Mao, Robert, Solomon, Hilda, Parveen Khan, Sajeeda, Grant, Purvez, Kachru, Ranjan, VK, Ajit Kumar, Ganapathi, Sanjay, K., Jayakumar, Sivadasanpillai, Harikrishnan, Sasidharan, Bijulal, T.R., Kapilamoorthy, Polamuri, Praneeth, Kaul, Upendra, Fox, Keith A.A., Carruthers, Kathryn, Elghamaz, Ahmed, Gurunathan, Sothinathan, Karogiannis, Nikolaos, Shah, Benoy N., Trimlett, Richard H.J., Rubens, Michael B., Nicol, Edward D., Mittal, Tarun K., Hampson, Reinette, Andreas Gamma, Reto, de Belder, Mark A., Thambyrajah, Jeet, Nageh, Thuraia, Davies, John R., Lindsay, Steven J., Kurian, John, Jamil, Haqeel, Raheem, Osama, Hoye, Angela, Donnelly, Patrick, Valec ka, Bernardas, Chauhan, Anoop, Barr, Craig, Alfakih, Khaled, Byrne, Jonathan, Webb, Ian, Henriksen, Peter, O. Kane, Peter, de Silva, Ramesh, Conway, Dwayne S.G., Sirker, Alexander A., Hoole, Stephen P., Witherow, Fraser N., Johnston, Nicola, Harbinson, Mark, Walsh, Simon, Douglas, Hanna, Luckie, Matthew, Sobolewska, Jolanta, Jeetley, Paramjit, Patel, Niket, Kotecha, Tushar, Travill, Christopher, Karimullah, Iqbal, Al-Bustami, Mahmud, Braganza, Denise, Henderson, Robert, Pointon, Kate, Naik, Surendra, Mathew, Thomas, Berry, Colin, Collison, Damien, Roditi, Giles, Moriarty, Andrew J., Glover, Jason D., Pradhan, Jiwan, Ghada, Mikhail, Francis, Darrel P., Dzavik, Vladimir, Diaz, Ariel, Rheault, Philippe, Barrero, Miguel, Gagné, Carl-Éric, Pépin-Dubois, Yanek, Costa, Ricardo, Tung Sia, Ying, Lemay, Catherine, Gisbert, Alejandro, Gervais, Pierre, Rheault, Alain, Carl Phaneuf, Denis, Gosselin, Gilbert, Garg, Pallav, Hessian, Renee C., Beanlands, Rob S., Davies, Richard F., Cheema, Asim N., Bagai, Akshay, Wald, Ron, Goodman, Shaun, Graham, John Joseph, Peterson, Mark, Chow, Chi-Ming, Abramson, Beth, Nazir Cheema, Asim, Tariq Vakani, Mohammad, Cha, James, Howarth, Andrew G., Wong, Graham, Uxa, Amar, Galiwango, Paul, Kassam, Saleem, Mukherjee, Ashok, Joseph Ricci, A., Lam, Andy, Me, Shamir, Udell, Jacob, Généreux, Philippe, Hameed, Adnan, Daba, Ledjalem, Hueb, Whady, Cury Rezende, Paulo, Ciappina Hueb, Alexandre, Emanuela, Paola, Smanio, Poggio, Schaan de Quadros, Alexandre, Abdala, Renato, Kalil, Karam, da Costa Vieira, José Luiz, Grossmann, Gabriel, Píccaro de Oliveira, Pedro, Bridi, Leonardo, Savaris, Simone, Vitola, João V., Cerci, Rodrigo J., Farias, Fabio R., Fernandes, Miguel M., Antonio Marin-Neto, José, Schmidt, André, de Oliveira Lima Filho, Moysés, Mendes Oliveira, Ricardo, Reynaldo, João, Chierice, Abbud, Polanczyk, Carísi A., Furtado, Mariana V., Smidt, Luis F., Carlos Carvalho, Antonio, Pucci, Gustavo, Lyra, Flavio, Rabelo, Alvaro, Junior, Alves, Dracoulakis, Marianna D.A., Lima, Rodolfo G.S.D., Figueiredo, Estevao, Ricardo Caramori, Paulo, Tumelero, Rogerio, Dall’Orto, Frederico, Mesquita, Claudio T., Colafranseschi, Alexandre S., Amarino C., Oliveira, Jr, Carvalho, Luiz A., Palazzo, Isabella C., Sousa, Andre S., da Silva, Expedito Eustáquio Ribeiro, Gabriel, Pedro, de Barros e Silva, Melo, de Pádua Silva Baptista, Luciana, Jamus Rodrigues, Marcelo, de Resende, Marcos Valério Coimbra, Francisco Saraiva, Jose, Costantini, Costantino, Ruzyllo, Witold, Demkow, Marcin, Pracon, Radoslaw, Kepka, Cezary, Teresinska, Anna, Kryczka, Karolina, Henzel, Jan, Solecki, Mateusz, Kaczmarska, Edyta, Mazurek, Tomasz, Drozdz, Jaroslaw, Czarniak, Bartosz, Frach, Malgorzata, Szymczyk, Konrad, Niedzwiecka, Iwona, Sobczak, Sebastian, Ciurus, Tomasz, Jakubowski, Piotr, Misztal-Teodorczyk, Magdalena, Teodorczyk, Dawid, Fratczak, Aleksandra, Szkopiak, Marcin, Lebioda, Patrycja, Wlodarczyk, Michal, Plachcinska, Anna, Kusmierek, Jacek, Miller, Magdalena, Marciniak, Halina, Wojtczak-Soska, Karolina, Łuczak, Katarzyna, Tarchalski, Tomasz, Cichocka-Radwan, Anna, Anna Szulczyk, Grazyna, Witkowski, Adam, Kukuła, Krzysztof, Celińska-Spodar, Małgorzta, Zalewska, Joanna, Gajos, Grzegorz, Bury, Krzysztof, Pruszczyk, Piotr, Roik, Marek, Łoboz-Grudzień, Krystyna, Sokalski, Leszek, Brzezińska, Barbara, Lesiak, Maciej, Łanocha, Magdalena, Reczuch, Krzysztof W., Kalarus, Zbigniew, Swiatkowski, Andrzej, Szulik, Mariola, Musial, Wlodzimierz J., Bockeria, Leo, Petrosyan, Karen, Trifonova, Tatiana, Chernyavskiy, Alexander M., Kretov, Evgeniy I., Grazhdankin, Igor O., Bershtein, Leonid L., Sayganov, Sergey A., Kuzmina-Krutetskaya, Anastasia M., Zbyshevskaya, Elizaveta V., Katamadze, Nana O., Demchenko, Elena A., Kozlov, Pavel S., Kozulin, Vikentiy Y., Lubinskaya, Ekaterina I., Lopez-Sendon, Jose, Castro, Almudena, Refoyo Salicio, Elena, Guzman, Gabriela, Galeote, Gabriel, Valbuena, Silvia, Peteiro, Jesús, Dolores Martínez-Ruíz, María, Pérez-Fernández, Ruth, Cuenca-Castillo, José J., Flores-Ríos, Xacobe, Prada-Delgado, Óscar, Barge-Caballero, Gonzalo, Ramon Gonzalez Juanatey, Jose, Souto Bayarri, Miguel, Pubull Nuñez, Virginia, Ocaranza Sanchez, Raymundo, Cid Alvarez, Belen, Peña Gil, Carlos, Martinez Monzonis, Amparo, Sionis, Alessandro, Vila Perales, Montserrat, Maria Padró, Josep, Serra Peñaranda, Antonio, García Picart, Joan, Ginel Iglesias, Antonino, Garcia-Moll Marimon, Xavier, Pons Lladó, Guillem, Carreras Costa, Francesc, Miro, Vicente, Diez, Jose L., Calvillo, Pilar, Marin Ortuño, F., Valdés Chávarri, M., Tello Montolliu, A., Pinar Bermudez, E., De La Morena, G., Gracida Blancas, Montserrat, Enrique Castillo Luena, Jose, Fernandez-Aviles, Francisco, Chen, Jiyan, Wu, Yongjian, Ma, Yitong, Yang, Yining, Ji, Zheng, Yang, Xinchun, Lin, Wenhua, Zeng, Hesong, Fu, Xin, Wang, Songtao, Cheng, Gong, Zhao, Yulan, Fang, Xuehua, Zeng, Qiutang, Su, Xi, Li, Qingxian, Nie, Shao-Ping, Yu, Qin, Wang, Jianʼan, Zhang, Shuyang, Liu, Zhenyu, Maggioni, Aldo P., Piero Perna, Gian, Marini, Marco, Gabrielli, Gabriele, Provasoli, Stefano, Verna, Edoardo, Monti, Lorenzo, Nardi, Barbara, Di Chiara, Antonio, Mortara, Andrea, Galvani, Marcello, Ottani, Filippo, Sicuro, Marco, Calabro, Paolo, Formisano, Tiziana, Tarantini, Giuseppe, Cucchini, Umberto, Luigi Andres, Anto, Racca, Emanuela, Briguori, Carlo, Amati, Roberto, Vergoni, William, Russo, Aldo, Fanelli, Raffaele, Poh, Kian-Keong, Chai, Ping, Lau, Titus, Loh, Joshua P., Tay, Edgar L., Teoh, Kristine, Teo, Lynette L., Ong, Ching-Ching, Wong, Raymond C., Loh, Poay-Huan, Kofidis, Theodoros, Xian Chan, Wan, Hui Chan, Koo, Foo, David, Loh Kwok Kong, Jason, Ching, Min, Er, Haider Jafary, Fahim, Chua, Terrance, Stumpf, Juergen, Matschke, Klaus, Simonis, Gregor, Kadalie, Clemens T., Sechtem, Udo, Christian Schulze, P., Goebel, Bjoern, Lenk, Karsten, Nickenig, Georg, Schuchlenz, Herwig, Weikl, Stefan, Marthe Lang, Kurt Huber, Irene, Jakl-Kotauschek, Gabriele, Vertes, Matyas Keltai Andras, Varga, Albert, Fontos, Geza, Merkely, Bela, Kerecsen, Gabor, Hinic, Sasa, Zdravkovic, Marija, Mudrenovic, Vladan, Crnokrak, Bogdan, Beleslin, Branko D., Boskovic, Nikola N., Petrovic, Marija T., Dobric, Milan R., Markovic, Zeljko Z., Mladenovic, Ana S., Cemerlic-Adjic, Nada, Davidović, Goran, Vučić, Rada, Nikola Dekleva, Milica, Stankovic, Goran, Apostolovic, Svetlana, Escobedo, Jorge, Baleón-Espinosa, Rubén, Campos-Santaolalla, Arturo S., Durán-Cortés, Elihú, Flores-Palacios, José M., García-Rincón, Andrés, Jiménez-Santos, Moisés, Peñafiel, Joaquín V., Ortega-Ramírez, José A., Valdespino-Estrada, Aquiles, Alexánderson Rosas, Erick, Murphy, Deirdre, Selvanayagam, Joseph B., Joseph, Majo X., Thambar, Suku T., Rankin, Jamie, Beltrame, John F., Hillis, Graham S., Thuaire, Christophe, Dutoiu, Téodora, Juliard, Jean-Michel, Slama, Michel S., El Mahmoud, Rami, Nicollet, Eric, Goube, Pascal, Barone-Rochette, Gilles, Furber, Alain, Bière, Loïc, Laucevicius, Elvin Kedhi, Aleksandras, Timmer, MD Jorik, Hermanides, Rik, Kaplan, Eliza, Riezebos, Robert K., Samadi, Pouneh, van Dongen, Elise, Niehe, Sander R., Suryapranata, Harry, van Vugt, Stijn, Cacela, Duarte, Santana, Ana, Fiarresga, Antonio, Sousa, Lidia, Marques, Hugo, Patricio, Lino, Bernanrdes, Luis, Rio, Pedro, Carvalho, Ramiro, Ferreira, Rui, Silva, Tiago, Rodrigues, Ines, Modas, Pedro, Portugal, Guilherme, Fragata, Jose, Pinto, Fausto J., Nobre Menezes, Miguel, Cantinho Lopes, Guilhermina, Gomes Almeida, Ana, Canas Silva, Pedro, Nobre, Angelo, Rita Francisco, Ana, Ferreira, Nuno, Lopes, Ricardo L., Diaz, Rafael, Guzman, Luis, César Figal, Julio, Méndiz, Oscar, Cortés, Claudia, René Favaloro, Roberto, Alvarez, Carlos, Courtis, Javier, Zeballos, Gabriela, Schiavi, Lilia, Rubio, Mariano, Alsweiler, Caroline, Patrick Devlin, Gerard, Fisher, Raewyn, Alan Huston Stewart, Ralph, Douglas White, Harvey, Benatar, Jocelyne, Kedev, Sasko, Peovska Mitevska, Irena, Srbinovska Kostovska, Elizabeta, Pejkov, Hristo, Held, Claes, Eggers, Kai, Frostfelt, Gunnar, Johnston, Nina, Olsowka, Maciej, Åkerblom, Axel, Soveri, Inga, Aspberg, Johannes, Beyar, Rafael, Nikolsky, Eugenia, Sharir, Tali, Elian, Dan, Kerner, Arthur, Massalha, Samia, Fukuda, Keiichi, Kohsaka, Shun, Yasuda, Satoshi, Nishimura, Shigeyuki, Van de Werf, Frans, Claes, Kathleen, Hung, Chung-Lieh, Yun, Chun-Ho, Jia-Yin Hou, Charles, Kuo, Jen-Yuan, Yeh, Hung-I, Hung, Ta-Chuan, Li, Jiun-Yi, Chien, Chen-Yen, Tsai, Cheng-Ting, Liu, Chun-Chieh, Yu, Fa-Chang, Lin, Yueh-Hung, Lan, Wei-Ren, Yen, Chih-Hsuan, Tsai, Jui-Peng, Sung, Kuo-Tzu, Ntsekhe, Mpiko, Pandie, Shaheen, Viljoen, Charle A., De Andrade, Marianne, Moccetti, Tiziano, Grazia Rossi, M., Abdelhamid, Magdy, Adel, Ahmed, Kamal, Ahmed, Mahrous, Hossam, El Kaffas, Sameh, El Fishawy, Hussien, Pop, Calin, Claudia, Matei, Popescu, Bogdan A., Ginghina, Carmen, Deleanu, Dan, Iliescu, Vlad A., Al-Mallah, Mouaz H., Aljzeeri, Ahmed, Najm, Hani, Alghamdi, Ali, Ramos, Walter Enrique Mogrovejo, Kuanprasert, Srun, Prommintikul, Arintaya, Nawarawong, Weerachai, Woragidpoonpol, Surin, Tepsuwan, Thitipong, Taksaudom, Noppon, Rimsukcharoenchai, Chataroon, Euathrongchit, Juntima, Wannasopha, Yutthaphan, Yamwong, Sukit, Sritara, Piyamitr, Aramcharoen, Suthara, Meemuk, Krissada, Khairuddin, Ahmad, Abd Hadi, Hafidz, Azmi Yahaya, Shaiful, Doan, John, Lee, Raven, Patel, Risha, Yang Cho, So, Milbrandt, Susan, Shelstad, Dawn, Kamath, Preeti, Tejani, Ishita, Quiles, Kirsten J., Schley, Allison, Golden, Heather, Osseni, Hermine, Wiyarand, Charlene, Douglass, Peter, Pomeroy, Hayley, Craft, Alexandra, Harvey, Bethany, Anaya, Olivia, Goold, Phoebe, Giovannone, Steven, Pritchard, Lori, Gans Paul Kennedy, Rosann, Ganesan, Shobana, Schlichting, David, Naher, Aynun, Stewart, Wendy L., Salmi, Kristin M., Johnson, Debra K., Herrmann, Rebekah R., Arges, Kristine, LeFevre, Melissa, Tomfohr, Jennifer, Ann Byrne, Kimberly, Zappernick, Taissa, Canada, Sallie, Kakade, Meghana, Mieses, Patricia, Cobos, Stanley E., Dwyer, Raven R., Espinosa, Dalisa, Quiles, Kirsten J., Rantinella, Magdalena, Rodriguez, Jessica, Mancilla, Olivia, Stinson, Susan, Weyand, Terry, Crook, Sherron C., Ho, Jean, Khan, Saadat, Mohamed, Mahmoud, Soltau, Mary R., Rose, Delsa K., Wimmer, Rebecca J., Desire, Sukie, Rashid, Fauzia, Asier, Senait, Patel, Keyur, Gillis, Jennifer, Manocchia, Megan, Moore, Susan, Congdon, Elizabeth, Brandt, Gail, Marchelletta, Nora, Wippler, Kristina, Halverson, Kimberly E., Roraff, Christine, Thorsen, Jonean, Ojajuni, Amarachi, Olurinde, Oni, Surineni, Kamalakar, Valaiyapathi, Badhma, Kartje, Carol M., Rawlins, Michele, Thomson, Jennifer, Colleen Rogge, Mary, Bunke, Julie, Unterbrink, Kendra, Fannon, Jacqueline, Burman, Cynthia, Dubin, Marcia F., Beaudry, Sarah, Tirado, Stephanie A., Halliday, Janet, Julian, Stephanie, Pamela, Stanford M. Lane, Jennifer L., Arsenault, Patricia, Sigel, Pamela, Brooks, Miriam, Douangvila, Ladda, Gevorgyan, Rubine, Ranjbaran, Fatima, Smith, Bryn, Ohmart, Carly, Ly, Samantha, Quinn, Margot C., Temiyasathit, Sara, Do, Jacquelyn, Tobin, Desiree, Langdon, Jennifer, Werner Bayer, Marcia, OʼMalley, Amanda, Orvis, Erin, Murphy, Mandy, Greenberg, Ann, Iraola, Margaret, Maranan, Leandro C., Malinay, Ammy, Edillo, Candice P., Ostrander, Ann, Wasmiller, Stephanie, Drewes, Wendy, Patel, Dipti, White, Jackie M., Hallam, Alison, Spooner, Benjamin J., Hollenweger, Linda M., Little, Holly, Little, Tiffany, Eskelson, Nona A., Taul, Yvonne, Rodgers, Caroline, Isaacs, Jennifer, Bulkley, Viktoria, Kaneshiro, Renee, Kirby, Bonnie J., Tran, Nhi N., Jahrsdorfer, Catherine, Yunis, Reem, Patro, Jhina, Vega, Antonia, Bloise-Adames, Hugo, Jimenez, Santa, Saint Vrestil, Nicole, Bhandari, Reyna, Schade, Danielle, Yost, Roxanne, Beardsley, Paula, Fine, Denise, Tancredi, Jana, Arakelian, Patricia, Mathus, Susan, OʼNeill, Deborah, Burkhardt, Joy, Hosino, Suellen, Lubyanaya, Oksana A., Salas, Jose D., Aguirre, Maria, Dhawan, Manu, Parra, Diana, Tran, Tri, Fowler-Lehman, Katie, Spitzer, Natalie, Riedberger, Casey, Weick, Catherine, Quiles, Kirsten J., Drum, Carrie, Miller-Cox, Kimberly, Ollinger, Amy, Capasso-Gulve, Elizabeth, Melanie Loehr, Alaine, Mosley, Marlowe, Heydari, Shirin, Lundeen, Andrea M., Karanjah, Edgar, Marfori, Wanda C., Hernandez-Rangel, Eduardo, Singh, Pam, Marie Webb, Anne, Fridell, Ellie, Wilson, Heidi, Kim, Angela, Wilmot, Patrick, Stevens, Ramona, Black, Loriane, Hull, Amber B., Lim, Olivia J., Tucker, Helen C., Putnam, Natasha C., Hall, Linda L., Cauthren, Tia, Tucker, Trish, Horton, Hollie, Orga, Jan, White, Joyce R., Baumann, Cynthia, Seeratan, Vidya, Jimenez, Magnolia, Schultz, Cidney, Russo, Jeanne, Huda, Zohra, Boan, Araceli, Hinton, Christine R., Archer, Beth A., Dionne, Julia S., Allardyce, Cheryl A., Sikora, Lindsey N., Czerniak, Jennifer H., Mull, Jennifer A., Ferguson, Elizabeth, Laube, Frances, Shammas, Gail A., Christensen, Lori, Park, Holly, Hecht, Joan, Vo, Davis, Hirsch, James, Bindeman, Jody, Salkind, Sara, Desimone, Lori-Ann, Felix-Stern, Lina, Gomes, Jassira, Gordon, Catherine, Mann, Aimee, McCreary, Theresa, Quiles, Kirsten J., Gopaul, Candace, Hultberg, Karen, Huk, Tauqir, Hussain, Afshan, Zambrano, Yesenia, Medina Rodriguez, Sarah, Milner, Trudie, Mulder, Abbey, Van Oosterhout, Stacie, Meyer, Martha, Clapp, Nancy L., Barrentine, Heather, Jose, Jenne M., Manchery, Jenne, McKinney, Vera, Schwarz, Linda, Kaczkowski, Scott M., Jaskowiak, Adam J., Klitch, Joel, Dees, Debra, Vasquez, Precilia, Hannemann, Elise L., Mae Foltz, Judy, DeRosa, Emily, Jorgenson, Beth, Riestenberg-Smith, Joyce, Bariciano, Rebecca, Waldron, Jessica, Mayon, Michelle, Ann Peichel, Gretchen, Starks, Brandy, Garcia, Lucilla, Thottam, Maria, Anand, Anjali, Raj, Janitha, Ravindran, Reshma, Rajalekshmi, VS, Nataraj, Nandita, Bajaj, Sheromani, Yadav, Vandana, Mishra, Girish, Tewari, Roma, Mishra, Meenakshi, Patel, Shivali, Singh, Suman, Kaur, Baljeet, Gupta, Sonika, Suvarna, Chandini, Mannekkattukudy Kurian, Binoy, Rupesh Karwa, Sheetal, Kolhe, Suvarna, Vindhya, R.J., Jain, Peeyush, Seth, Ashok, Singh Meharwal, Zile, Verma, Atul, Bhatia, Mona, Sachdeva, Ankush, Indira Devi, Thounaojam, Jungla, Nungshi, Manjula Rani, K., Sowjanya Reddy, M., Preethi, K., Sidh, Rinu R., Priya, Vamshi, Preethi, Kotiboinna, Hande, Shweta, Dubey, Abhishek, Rawat, Vineeth, Kavita, Chacko, CP Manas, Babu, Suresh, Reddy, Sowjanya, Rani, Manjula, Arambam, Priyadarshani, Singh, Bebek, Young, Grace M., Kinsey, Christopher, Kavalakkat, Raisa, Evans, Jo, Hassan, Ikraam, Williams, Sarah, Holland, Kim, Swan, Karen, Atkinson, Bev, Kunhunny, Swapna, Atkinson, Craig, Krannila, Carita, Vinod, Manitha, Chaytor, Lisa, Cox, Leanne, Morrow, Julie, Rowe, Kay, Kelly, Stephanie, Regan, Susan, Turnbull, Dawn, Fleming, Catherine, Ghosh, Arijit, Gratrix, Karen, Preston, Stephen, Cartwright, Anne, Knightonc, Abigail, Martin, Katherine, Flint, Laura, Harrison, James, Lakeman, Nicki, Ljubez, Anja, Wright, Judith, Exley, Donna, Andiapen, Mervyn, Richards, Amy J., Wong, Lisa, Munro, Melanie J., McEvoy, Michelle, Brown, Caroline, Charles, Thabitha, Kolakaluri, Laurel, Phillips, Hannah, Morby, Louise, Hallett, Karen, Corbett, Carolyn, Winstanley, Lynne, Smit, Angelique, Gent, Susan, Hussain, Nafisa, Haines, Fiona, Taaffe, Joanne, Burton, Jane, Colton, Maria, King, Rachel, Brown, Ammani, Docherty, Andrew, McCloy, Lisa, Robb, Kate, Paterson, Craig, Crawford, Wenda, Kelly, Joanne, McGregor, Lorraine, Mackin, Anne, Knight, Janet P., Bose, Tuhina, Proietti, Anna, Brousseau, Myriam, Corfias, Magalie, Blaise, Patricia, Harvey, Luc, Alarie, Patricia, Arcand, Linda, Roy, Isabelle, Montpetit, Estelle, Drouin, Katia, Bergeron, Christine, Shelley, Christine, Masson, Christine, Carr, Sandy, Bone, Catherine, Moga, Ermina, Kourzenkova, Janetta, Walter, Olga, Hogg, Norma, Welsh, Suzanne, Hussain, Mohammed, Bello, Olugbenga, Syed, Ishba, Kushniriuk, Khrystyna, Otis, Judy, Otis, Rebecca, Seib, Michelle M., Rivest, Sandra M., Sandonato, Rosa, Chow, Jackie, Starovoytov, Andrew, Uchida, Naomi, Meadows, Ngaire, Asif, Nadia, Tavares, Suzana, Bozek, Bev, Shier, Maria, Larmand, Lori-Ann, Janmohamed, Amir, Hart, Brenda, Marucci, Jane, Tai, Sharon, Brons, Sonya, Beck, Chris, Wong, Glenda, Etherington, Krystal, Arumairajah, Thippeekaa, Aprile, Maria, Karlsson, Sara, Webber, Susan, Mercure, Chantale, Aedy, Nancy, Farquharson, Fran, Siddiqui, Anam, Emy Takiuti, Myrthes, Pizzol Caetano, Leonardo, Peixoto Deiro, Aline, Manica Muller, Alice, de Moraes, Maria Antonieta Pereira, Maria Ascoli, Bruna, Zottis Poletti, Sílvia, Zier, Sandra S., Veiga, Vilmar, Franca da Cunha, Diego, Rucatti, Guilherme G., Igansi, Fernanda, Haeffner, Mauren P., Almeida, Viviane, Sanchez de Souza, Gabriela, Almeida, Mayana, dos Santos, Viviane, Oliveira, Natalia S., Edilena Paulino Azevedo, Bruna, Bizzaro Santos, Marco, Germann, Amanda, Gomes, Vitor, Homem, Rosa, Magedanz, Ellen, Laimer, Rosane, Tognon, Alexandre, Santos, Roberta P., Yumi Okada, Mariana, Paula Batista, Ana, Nogueira Rabaça, Aline, Miranda Trama, Larissa, Silva, Talita, de Souza Ormundo, Camila Thais, Vicente, Carla, Pinheiro, Caroline, Komar, Daniele, Walesiak, Olga, Malinowska, Katarzyna, Maksym, Jakub, Wojtera, Karolina, Fojt, Anna, Szczerba, Ewa, Swiderek, Marta, Wojtala, Ewelina, Karwowski, Jaroslaw, Łabyk, Andrzej, Szramowska, Agnieszka, Zdończyk, Olga, Jaroch, Joanna, Kolodziej, Adam, Marcinkiewicz-Siemion, Marta, Bockeria, Olga, Kudzoeva, Zalina, Aripova, Nodira, Naryshkin, Ivan A., Kuleshova, Alena, Malaev, Dastan, Subbotina, Irina, Gumerova, Victoria, Nikolaeva, Olga B., Fernández-Figares, Pharm, Virginia, Alonso-Álvarez, Moisés Blanco-Calvo Encarnación, García-González, Paula, Seijas Amigo, Jose, Fernández Martínez, Begoña Igual, Ana, Romero Aniorte, M. Quintana Giner A.I., Rivera Caravaca, J.M., Cañavate, Olga, Guerrero, Sonia, Riera, Silvia, Lasala, Maria, Lorenzo, Maria, Sobrino, Olga, Vazquez, Alexandra, Dong, Haojian, He, Peiyu, Xia, Chunli, Yang, Junqing, Zhong, Qi, Tian, Yanmeng, Li, Dongze, Li, Xiaomei, Ma, Xiang, Yu, Zixiang, Zhao, Qian, Li, Chunguang, Zhang, Lei, Zhao, Yu, Zhu, Bolin, Chen, Mulei, Chi, Hongjie, Wang, Yang, Zhang, Jing, Jing, Rui, Liu, Jingjing, Zhou, Qiang, Xu, Chang, Li, Zhuxi, Li, Junhua, Xiong, Luyang, Gao, Dan, Jiang, Dengke, Leng, Ran, Wang, Xutong, Yuan, Qianqian, Zhang, Lili, Bai, Ziliang, Li, Jianhua, Qi, Jie, Wang, Fei, Wang, Haitao, Yang, Bin, Yue, Zhou, Zhang, Zhulin, Dong, Yumei, Mao, Jiajia, Zhang, Bin, Li, Xiuhong, Yao, Xiaowei, Zhong, Nier, Zhou, Ning, Huang, Yaping, Zhou, Wei, Panpan, Peng, Yu Kunwu Yudong, Su, Xin, Wang, Chen, Zhao, Yunhai, Geng, Yaming, Wang, Yanfu, Fan, Jing-Yao, Feng, Si-Ting, Wang, Xiao, Yan, Yan, Zhang, Hui-Min, Chi, Lingping, Liu, Fang, Chen, Han, Jiang, Jun, Li, Huajun, Han, Yechen, Xu, Lihong, Chen, Gang, Hu, Rongrong, Pietrucci, Francesca, Di Donato, Anna, Pezzetta, Francesca, Casali, Valentina, Attanasio, Chiara, Leone, Gianpiero, Pisano, Francesco, Bare, Cristina, Fimiani, Fabio, Barioli, Alberto, Ramani, Federica, Rolfo, Fabrizio, Goletto, Cecilia, De Micco, Francesca, Di Marco, Stefano, Tricoli, Martina, Villella, Massimo, Tan, Sik-Yin V., Sia, Winnie C., Leong, Audrey W., Hai Yan, Li, Ismail, Nasrul, Tun Kyaw, Min, Yip, Deborah, Grahl, Dorit, Guenther, Franziska, Bonin, Kerstin, Wenzelburger, Ina, Gruensfelder, Susanne, Sinning, Jan-Malte, Weber, Marcel, Werner, Nikos, Steinmaurer, Gudrun, Winter, Tijana, Andric, Max-Paul, Tscharre, Claudia, Maximilian, Bernhard, Jäger, Wegmayrc, Egger, Floria, Davidovits, Judit Sebo Zoltan, Matics, Laszlone, Ágoston, Gergely, Dekany, Gabor, Bartykowszki, Andrea, Jakal, Agnes, Djokic, Jelena, Djordjevic-Dikic, Ana D., Giga, Vojislav L., Stepanovic, Jelena J., Velicki, Lazar, Pupic, Ljiljana, Simović, Stefan M., Stevo Martinovic, Miroslav, Stevanovic, Gordana, Dobric, Milan, Salinger Martinovic, Sonja, Stanojevic, Dragana, de Jesús-Pérez, Ramon, Brassetti, María Fernanda Canales, Adrián Vences Anaya, Diego, Pérez García, María, Estela Carvajal Juarez, Isabel, Madero Rovalo, Magdalena, Lee, Sau, Thomas, Prince, Chaplin, Melissa D., Stansborough, Jeanette K., Black, Marilyn, Bonner, Michelle M., Ireland, Kim F., Venn-Edmonds, Clare, Thobois, Corine, Tachot, Emilie, Laure, Christophe, Vassaliere, Christel, Abergel, Helene, Fuentes, Axelle, Eliahou, Ludivine, Dubourg, Olivier, Michaud, Pierre, Hadjih, Sarah, Brito, Patricia, Cornet, Charles, Rautureau, Jeremy, Juceviciene, Agne, Kalibataite-Rutkauskiene, Irma, Keinaite, Laura, Laukyte, Monika, Mikolaitiene, Gelmina, Smigelskaite, Akvile, Tamasauskiene, Ilona, Urboniene, Agne, Bouwhuis, Ilse, Nijmeijer, Jeannette, Lia, Elisabeth, J.M. Schoep, Ahoud, M. Janzen Sandra, Selas, Mafalda, Silva, Filipa, Freixo, Cláudia, Zimbarra Cabrita, Inês, Rocha, Andreia, Patuleia Figueiras, Francisca, Coelho, Andreia, Capinha, Marta, Inês Caetano, Maria, Silva, Susana, Tinnirello, Veronica, Nicolás Mungo, Matías, Garcia, Marina, Godoy, Valeria, Victoria Actis, Maria, Scaro, Graciela, Low, Liz, Scales, Jayne, Abercrombie, Kirsty, Howell, Leah, Patten, Cathrine, Björklund, Christina, Andreasson, Maria, Essermark, Marie, Persson, Liselotte, Harel, Or, Bentzvi, Margalit, Helmer, Ludmila, Ueda, Ikuko, Fujita, Jun, Furukawa, Akemi, Hirase, Kanae, Nagai, Toshiyuki, Otsuka, Fumiyuki, Nakano, Shintaro, Robesyn, Valerie, Yang, Yi-Hsuan, Mtana, Noloyiso, Anesini, Adriana, Maspoli, Simona, Mombelli, Manuela, Talaat, Ahmed, Rosca, Monica, Beladan, Carmen C., Zahrani, Sarah, Antonio Monsalve Davila, Marco, Khwakhong, Supatchara, Chaiyasri, Anong, Mekara, Warangkana, Kulthawong, Supap, Amaritakomol, Anong, Panpunuan, Pachara, Syamira Mokhtar, Noor, Asiah Basri, Nor, Yusnida, Irni, Hashim, Humayrah, Berger, Jeffrey, Williams, David, Harrington, Robert, Jiang, Lixin, Lopes, Renato D., Noel Bairey Merz, C., Weintraub, William, Donato Morales Rodríguez, Erick, Maurovich-Horvat, Pal, Sonawane, Poonam, Francis, Ramakrishnan, Rajesh, Nayak, T. Soundarya, Boer, Stephanie C., Rosenberg, Yves, Hamm, Christian, Helm, Malte, Peterson, Eric, Ballantyne, Christie, Calfas, Karen, Ann Champagne, Mary, Fleg, Jerome, McCullough, Peter A., Menasche, Philippe, Davidson, Michael, Fremes, Stephen, Guyton, Robert, Mack, Michael, Mohr, Fred, Rao, Anupama, Sabik, Joe, Shapira, Oz, Taggart, David, Tatoulis, James, Blankenship, Jim, Brener, Sorin, Buller, Chris, Colombo, Antonio, de Bruyne, Bernard, Kereiakes, Dean, Lefevre, Thierry, Moses, Jeffrey, Mahaffey, Ken, Cruz-Flores, Salvador, Danchin, Nicholas, Feen, Eli, Garcia, Mario J., Hauptman, Paul, Laddu, Abhay A., Passamani, Eugene, Pina, Ileana L., Simoons, Maarten, Skali, Hicham, Thygesen, Kristian, Waters, David, Endsley, Patricia, Esposito, Gerard, Kanters, Jeffrey, Pownall, John, Stournaras, Dimitrios, Friedrich, Matthias, Hachamovitch, Rory, Oliver, Dana, Harrel, Frank, Blume, Jeffrey, Lee, Kerry, Kullo, Iftikhar, McManus, Bruce, Newby, Kristin, Cohen, David, Bugiardini, Raffaele, Mattina, Deirdre, Ali, Ziad, Mathew, Roy, Friedman, Lawrence, Anderson, Jeffrey, Berg, Jessica, DeMets, David, Michael Gibson, C., Lamas, Gervasio, Deming, Nicole, Himmelfarb, Jonathan, Ouyang, Pamela, Woodard, Pamela, Nwosu, Samuel, Kirby, Ruth, Jeffries, Neal, Denaro, Jean E., Boumakis, Stephanie, Chan, Kevin, Cobb, Gia, Contreras, Aira, Cukali, Diana, Ferket, Stephanie, Gabriel, Andre, Hansen, Antonietta, Roberts, Arline, Chang, Michelle, Islam, Sharder, Wayser, Graceanne, Yakubov, Solomon, Yee, Michelle, Callison, Caroline, Hogan, Isabelle, Qelaj, Albertina, Pirro, Charlotte, Van Loo, Kerrie, Wisniewski, Brianna, Gilsenan, Margaret, Lang, Bevin, Mohamed, Samaa, Esquenazi-Karonika, Shari, Mathews, Patenne D., Naumova, Anna, Lyo, Jihyun, Setang, Vincent, Xavier, Mark, Anstrom, Kevin, Baloch, Khaula, Blount, Janet, Cowper, Patricia, Davidson-Ray, Linda, Drew, Laura, Harding, Tina, David Knight, J., Minshall Liu, Diane, O’Neal, Betsy, Redick, Thomas, Jones, Philip, Nugent, Karen, Jingyan Wang, Grace, Goyal, Abhinav, Hetrick, Holly, Hayes, Sean W., Friedman, John D., Mark Hyun, R. James Gerlach, Miranda-Peats, Romalisa, Slomka, Piotr, Thomson, Louise, Pierre Mongeon, Francois, Michael, Steven, Hung, Judy, Zeng, Xin, Eckstein, Jane, Guruge, Bandula, Streif, Mary, Alfonso, Maria A., Corral, Maria P., Garcia, Javier J., Horst, Jennifer, Jankovic, Ivana, Konigstein, Maayan, Lustre, Mitchel B., Peralta, Yolayfi, Sanchez, Raquel, Arsanjani, Reza, Elmor, Kimberly, Gomez, Millie, Hindoyan, Niree, Nakanishi, Rine, Barbara Srichai-Parsia, M., Yeoh, Eunice, Youn, Tricia, Bianchini, Francesca, Ceseri, Martina, Lorimer, Andrea, Magnoni, Marco, Orso, Francesco, Sarti, Laura, Mazza Barbosa, Lilian, Bello Duarte, Tauane, Colaiácovo Soares, Tamara, de Aveiro Morata, Julia, Carvalho, Pedro, de Carvalho Maffei, Natalia, Egydio, Flávia, Kawak, Anelise, Oliveira, Janaina, Restelli Piloto, Elissa, Pozzibon, Jaqueline, Camara, Diane, Mowafy, Neamat, Spindler, Caroline, Dai, Hao, Feng, Fang, Li, Jia, Li, Li, Liu, Jiamin, Xie, Qiulan, Zhang, Haibo, Zhang, Jianxin, Zhang, Lihua, Zhang, Liping, Zhang, Ning, Zhong, Hui, Escobar, Claudia, Eugenia Martin, Maria, Pascual, Andrea, Moraga, Paloma, Hernandez, Victoria, Posada, Maria, Fernandez, Sara, Luis Narro Villanueva, José, Selgas, Rafael, Luyten, Ann, Garcevic, Nevena, Stojkovic, Jelena, Ahmed, Asker, Bhatt, Richa, Chadha, Nitika, Kumar, Vijay, Lubna, Sadath, Naik, Pushpa, Pandey, Shruti, Ramasamy, Karthik, Saleem, Mohammed, Sharma, Pratiksha, and Siddaram, Hemalata
Published: 2024
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26. DKN-01 in Combination With Tislelizumab and Chemotherapy as First-Line Therapy in Advanced Gastric or Gastroesophageal Junction Adenocarcinoma: DisTinGuish

Author: Klempner, Samuel J., Sonbol, Mohamad Bassam, Wainberg, Zev A., Uronis, Hope Elizabeth, Chiu, Vi K., Scott, Aaron James, Iqbal, Syma, Tejani, Mohamedtaki Abdulaziz, Chung, Vincent, Stilian, Melissa C., Thoma, Mathis, Zhang, Ying, Kagey, Michael H., Baum, Jason, Sirard, Cynthia A., Altura, Rachel A., and Ajani, Jaffer A.
Published: 2024
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27. Many-Objective Optimization of a 120-Bar 3D Dome Truss Structure Using Three Metaheuristics

Author: Mashru, Nikunj, Tejani, Ghanshyam G., Patel, Pinank, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Venkata Rao, Ravipudi, editor, and Taler, Jan, editor
Published: 2024
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28. Location-Based QR Attendance Application

Author: Shaikh, Nishat, Shah, Prathi, Vaghani, Deep, Tejani, Jeel, Lakhani, Harsh, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Senjyu, Tomonobu, editor, So–In, Chakchai, editor, and Joshi, Amit, editor
Published: 2024
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29. The Effect of Oromotor and Sensory Treatment on Persistent Thumb Sucking and Basic Feeding and Swallowing in a Toddler with Angelman Syndrome: A Case Report

Author: Neelam Tejani, Seema Saini, and Tushar Palekar
Subjects: angelman syndrome, case report, feeding and swallowing disorders, sensory treatment, thumb sucking, Medicine
Abstract: A toddler with Angelman syndrome was the subject of the study to find out the effect of oromotor and sensory therapy on fundamental eating and swallowing as well as prolonged thumb sucking. Pre- and post-test assessments were used as part of the procedure using the Ability for Basic Feeding and Swallowing Scale for Children. We timed using a stopwatch how long the toddler sucked her thumb and how long she cried after taking her thumb out. The oromotor rehabilitation consisted of two phases: preparation of the oral cavity and oral treatment. With a difference of 7 h, the findings indicated a considerable decrease in the amount of time spent persistently sucking one’s thumb. After the thumb was removed, the cry response was also gone. The Ability for Basic Feeding and Swallowing scale value showed a significant difference in the study, demonstrating improvement in fundamental feeding and swallowing abilities. Based on these results, it can be said that oromotor and sensory therapy helped the toddler with Angelman syndrome with fundamental eating and swallowing as well as persistent thumb sucking. Contribution of Research: The study contributes to our understanding of the effects of oromotor and sensory therapy on a toddler with Angelman syndrome. It demonstrates that this therapy can lead to improvements in fundamental eating and swallowing abilities, as well as a decrease in persistent thumb sucking. This research aids in our understanding of the function of oromotor impairment and treatment of genetic diseases like Angelman syndrome.
Published: 2024
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30. Artificial Intelligence and Radiology Education

Author: Tejani, Ali S, Elhalawani, Hesham, Moy, Linda, Kohli, Marc, and Kahn, Charles E
Subjects: Information and Computing Sciences, Human-Centred Computing, Biomedical Imaging, Good Health and Well Being, Quality Education, Artificial Intelligence, Imaging Informatics, Impact of AI on Education, Medical Education, Natural Language Processing, Precision Education, Use of AI in Education
Abstract: Implementation of artificial intelligence (AI) applications into clinical practice requires AI-savvy radiologists to ensure the safe, ethical, and effective use of these systems for patient care. Increasing demand for AI education reflects recognition of the translation of AI applications from research to clinical practice, with positive trainee attitudes regarding the influence of AI on radiology. However, barriers to AI education, such as limited access to resources, predispose to insufficient preparation for the effective use of AI in practice. In response, national organizations have sponsored formal and self-directed learning courses to provide introductory content on imaging informatics and AI. Foundational courses, such as the National Imaging Informatics Course - Radiology and the Radiological Society of North America Imaging AI Certificate, lay a framework for trainees to explore the creation, deployment, and critical evaluation of AI applications. This report includes additional resources for formal programming courses, video series from leading organizations, and blogs from AI and informatics communities. Furthermore, the scope of "AI and radiology education" includes AI-augmented radiology education, with emphasis on the potential for "precision education" that creates personalized experiences for trainees by accounting for varying learning styles and inconsistent, possibly deficient, clinical case volume. © RSNA, 2022 Keywords: Use of AI in Education, Impact of AI on Education, Artificial Intelligence, Medical Education, Imaging Informatics, Natural Language Processing, Precision Education.
Published: 2023

31. Performance investigation on Organic Rankine Cycle from a low-temperature heat source

Author: Malwe, Prateek D., Gawali, Bajirao S., Salunke, Avinash, Sharma, Kamal, Salunkhe, Ankur, Haque Siddiqui, Md Irfanul, Mehta, Bhavin, and Tejani, Ghanshyam
Published: 2025
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32. A Review of Numerical Techniques for Frictional Contact Analysis

Author: Govind Vashishtha, Sumika Chauhan, Riya Singh, Manpreet Singh, and Ghanshyam G. Tejani
Subjects: finite element method, penalty method, Lagrange multiplier method, Science
Abstract: This review analyzes numerical techniques for frictional contact problems, highlighting their strengths and limitations in addressing inherent nonlinearities and computational demands. Finite element methods (FEM), while dominant due to versatility, often require computationally expensive iterative solutions. Alternative methods, like boundary element methods (BEM) and meshless methods, offer potential advantages but require further exploration for broader applicability. The choice of contact algorithm significantly impacts accuracy and efficiency; penalty methods, though computationally efficient, can lack accuracy at high friction coefficients; whereas, Lagrange multiplier methods, while more accurate, are computationally more demanding. The selection of an appropriate friction constitutive model is crucial; while the Coulomb friction law is common, more sophisticated models are necessary to represent real-world complexities, including surface roughness and temperature dependence. This review paper delves into the future research that prioritizes developing computationally efficient algorithms and parallel computing strategies. Advancements in constitutive modelling are vital for improved accuracy, along with enhanced contact detection algorithms for complex geometries and large deformations. Integrating experimental data and multiphysics capabilities will further enhance the reliability and applicability of these numerical techniques across various engineering applications. These advancements will ultimately improve the predictive power of simulations in diverse fields.
Published: 2025
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33. Abstract 4143909: Ectopic Fat Distribution and Adverse Muscle Composition in South Asians: Findings from the UK Biobank

Author: Tejani, Sanaa, Linge, Jennifer, Neeland, Ian, Rohatgi, Anand, Gill, Jason, Leinhard, Olof, and Sattar, Naveed
Published: 2024
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34. Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures.

Author: Ali S. Tejani, Brian Bialecki, Kevin O'Donnell, Teri Sippel Schmidt, Marc D. Kohli, and Tarik Alkasab
Published: 2024
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35. Truss Optimization

Author: Savsani, Vimal, primary, Tejani, Ghanshyam, additional, and Patel, Vivek, additional
Published: 2024
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36. The 2021 RecSys Challenge Dataset: Fairness is not optional

Author: Belli, Luca, Tejani, Alykhan, Portman, Frank, Lung-Yut-Fong, Alexandre, Chamberlain, Ben, Xie, Yuanpu, Lum, Kristian, Hunt, Jonathan, Bronstein, Michael, Anelli, Vito Walter, Kalloori, Saikishore, Ferwerda, Bruce, and Shi, Wenzhe
Subjects: Computer Science - Social and Information Networks
Abstract: After the success the RecSys 2020 Challenge, we are describing a novel and bigger dataset that was released in conjunction with the ACM RecSys Challenge 2021. This year's dataset is not only bigger (~ 1B data points, a 5 fold increase), but for the first time it take into consideration fairness aspects of the challenge. Unlike many static datsets, a lot of effort went into making sure that the dataset was synced with the Twitter platform: if a user deleted their content, the same content would be promptly removed from the dataset too. In this paper, we introduce the dataset and challenge, highlighting some of the issues that arise when creating recommender systems at Twitter scale.
Published: 2021

37. Transoral gastric outlet reduction for post-prandial hypoglycemia after Roux-en-Y gastric bypass

Author: Dunn, Samuel Hunter, Tejani, Sanaa, Almandoz, Jaime P., Messiah, Sarah E., Schellinger, Jeffrey, Marroquin, Elisa Morales, Mathew, Matthew, Horton, Jay, and Tavakkoli, Anna
Published: 2023
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38. Factors Associated With Coronary Angiography Performed Within 6 Months of Randomization to the Conservative Strategy in the ISCHEMIA Trial

Author: Pracoń, Radosław, Spertus, John A., Broderick, Samuel, Bangalore, Sripal, Rockhold, Frank W., Ruzyllo, Witold, Demchenko, Elena, Nageh, Thuraia, Grossman, Gabriel Blacher, Mavromatis, Kreton, Manjunath, Cholenahally N., Smanio, Paola E.P., Stone, Gregg W., Mancini, G.B. John, Boden, William E., Newman, Jonathan D., Reynolds, Harmony R., Hochman, Judith S., Maron, David J., Doan, John, Linefsky, Jason, Lee, Raven, Patel, Risha, Miller, Todd, Yang Cho, So, Milbrandt, Susan, Shelstad, Dawn, Banerjee, Subhash, Kamath, Preeti, Tejani, Ishita, Cobos, Stanley E., Quiles, Kirsten J., Dwyer, Raven R., Donnino, Robert M., Espinosa, Dalisa, Phillips, Lawrence M., Saric, Muhamed, Abdul-Nour, Khaled, Schley, Allison, Golden, Heather, Stone, Peter H., Osseni, Hermine, Wiyarand, Charlene, Douglass, Peter, Pomeroy, Hayley, Craft, Alexandra, Harvey, Bethany, Jang, James J., Anaya, Olivia, Yee, Gennie, Goold, Phoebe, Weitz, Steven, Giovannone, Steven, Pritchard, Lori, Arnold, Suzanne, Gans, Rosann, Henry O’Keefe, Jr, James, Kennedy, Paul, Shapiro, Michael D., Ganesan, Shobana, Schlichting, David, Naher, Aynun, El-Hajjar, Mohammad, Sidhu, Mandeep S., Fein, Steven A., Stewart, Wendy L., Torosoff, Mikhail T., Salmi, Kristin M., Lyubarova, Radmila, Mookherjee, Sulagna, Drzymalski, Krzysztof, McFalls, Edward O., Garcia, Santiago A., Bertog, Stefan C., Johnson, Debra K., Siddiqui, Rizwan A., Herrmann, Rebekah R., Ishani, Areef, Hansen, Ronnell A., Georges Khouri, Michel, Arges, Kristine, LeFevre, Melissa, Tomfohr, Jennifer, Goldberg, Jonathan L., Ann Byrne, Kimberly, Zappernick, Taissa, Goldweit, Richard, Canada, Sallie, Kakade, Meghana, Mieses, Patricia, Cobos, Stanley E., Dwyer, Raven R., Cohen, Ronny A., Espinosa, Dalisa, Mirrer, Brooks, Quiles, Kirsten J., Navarro, Victor, Rantinella, Magdalena, Rodriguez, Jessica, Mancilla, Olivia, Winchester, David E., Stinson, Susan, Kronenberg, Marvin, Weyand, Terry, Rogal, Philip, Crook, Sherron C., McFarren, Christopher, Heitner, John F., Ho, Jean, Khan, Saadat, Mohamed, Mahmoud, Dauber, Ira M., Soltau, Mary R., Rose, Delsa K., Wimmer, Rebecca J., Siegel, Kathy E., Derbyshire, Susan, Cannan, Charles, Dixon, Michelle, Leonard, Gerald, Sudarshan, Sriram, Heard, Ciarra, Gabriel, Viviana, Desire, Sukie, Mehta, Puja K., McDaniel, Michael, Rashid, Fauzia, Lerakis, Stamatios, Asier, Senait, Quyyumi, Arshed, Patel, Keyur, Wenger, Nanette K., Hedgepeth, Chester M., Gillis, Jennifer, Hurlburt, Heather, Manocchia, Megan, Rosen, Alan, Moore, Susan, Congdon, Elizabeth, Sahul, Zakir, Brandt, Gail, Marchelletta, Nora, Wippler, Kristina, Booth, David, Taul, Yvonne, Leung, Steve, Isaacs, Jennifer, Abdel-Latif, Ahmed, Bulkley, Viktoria, Reda, Hassan, Rodgers, Caroline, Ziada, Khaled, Setty, Sampoornima, Halverson, Kimberly E., Roraff, Christine, Thorsen, Jonean, Barua, Rajat S., Ojajuni, Amarachi, Olurinde, Oni, Surineni, Kamalakar, Hage, Fadi, Valaiyapathi, Badhma, Caldeira, Christiano, Davies, James E., Leesar, Massoud, Heo, Jaekyeong, Iskandrian, Amy, Al Solaiman, Firas, Singh, Satinder, Dajani, Khaled, Kartje, Carol M., El-Hajjar, Mohammad, Mesropian, Paul Der, Sacco, Joseph, Rawlins, Michele, McCandless, Brian, Thomson, Jennifer, Orgera, Marisa, Sidhu, Mandeep S., Colleen Rogge, Mary, Arif, Imran, Bunke, Julie, Kerr, Hanan, Unterbrink, Kendra, Fannon, Jacqueline, Burman, Cynthia, Trejo, Jorge F., Dubin, Marcia F., Fletcher, Gerald, Lane, Gary E., Neeson, Lynn M., Parikh, Pragnesh P., Pollak, Peter M., Shapiro, Brian P., Landolfo, Kevin, Gemignani, Anthony, Beaudry, Sarah, O’Rourke, Daniel, Meadows, Judith L., Tirado, Stephanie A., Halliday, Janet, Julian, Pamela, Call, Jason T., Lane, Stephanie M., Stanford, Jennifer L., Hannan, Joseph, Bojar, Robert, Arsenault, Patricia, Kumar, Deepti, Sigel, Pamela, Mukai, John, Martin, Edward T., Brooks, Miriam, Vorobiof, Gabriel, Douangvila, Ladda, Gevorgyan, Rubine, Moorman, Alec, Ranjbaran, Fatima, Smith, Bryn, Ohmart, Carly, Kinlay, Scott, Hamburger, Robert J., Rocco, Thomas P., Ly, Samantha, Bhatt, Deepak L., Quinn, Margot C., Croce, Kevin, Temiyasathit, Sara, Quin, Jacquelyn A, Do, Jacquelyn, Anumpa, Jati, Tobin, Desiree, Zenati, Marco, Faxon, David P, Rayos, Glenn, Langdon, Jennifer, Werner Bayer, Marcia, Seedhom, Ashraf, O’Malley, Amanda, Sullenberger, Lance, Orvis, Erin, Kumkumian, Gregory, Murphy, Mandy, Greenberg, Ann, Iraola, Margaret, Sedlis, Steven P., Maranan, Leandro C., Donnino, Robert M., Lorin, Jeffrey, Tamis-Holland, Jacqueline E., Malinay, Ammy, Kornberg, Robert, Leber, Robert, Saba, Souheil, Edillo, Candice P., Lee, Michael W., Small, Delano R., Nona, Wassim, Alexander, Patrick B., Rehman, Iram, Badami, Umesh, Ostrander, Ann, Wasmiller, Stephanie, Marzo, Kevin, Drewes, Wendy, Patel, Dipti, Robbins, Inga H., Levite, Howard A., White, Jackie M, Shetty, Sanjay, Hallam, Alison, Patel, Mayuri, Hamroff, Glenn S., Spooner, Benjamin J, Hollenweger, Linda M, Little, Raymond W., Little, Holly, Zimbelman, Brandi D., Little, Tiffany, Lui, Charles Y., Eskelson, Nona A, Smith, Brigham R., Vezina, Daniel P., Khor, Lillian L., Abraham, Josephine D., Bull, David A., McKellar, Stephen H., Booth, David, Taul, Yvonne, Kotter, John, Rodgers, Caroline, Abdel-Latif, Ahmed, Isaacs, Jennifer, Bulkley, Viktoria, Hu, Bob, Kaneshiro, Renee, Labovitz, Arthur J., Berlowitz, Michael, Kirby, Bonnie J., Rogal, Philip, Tran, Nhi N., McFarren, Christopher, Jahrsdorfer, Catherine, Matar, Fadi, Caldeira, Christiano, Rodriguez, Fatima, Yunis, Reem, Schnittger, Ingela, Patro, Jhina, Fearon, William F., Deedwania, Prakash, Vega, Antonia, Reddy, Kiran, Sweeny, Joseph, Bloise-Adames, Hugo, Jimenez, Santa, Saint Vrestil, Nicole, Bhandari, Reyna, Spizzieri, Christopher, Schade, Danielle, Yost, Roxanne, Hochberg, Claudia P, Beardsley, Paula, Fine, Denise, Salerno, William D., Tancredi, Jana, Arakelian, Patricia, Mathus, Susan, O’Neill, Deborah, Wyman, Ray, Burkhardt, Joy, Hosino, Suellen, Lubyanaya, Oksana A., Salas, Jose D., Zarka, Amer, Aguirre, Maria, Shah, Anil V., Dhawan, Manu, Parra, Diana, Tran, Tri, Haldis, Thomas, Weick, Catherine, Fowler-Lehman, Katie, Spitzer, Natalie, Riedberger, Casey, Weick, Catherine, Kohn, Jeffrey A., Cobos, Stanley E., Dwyer, Raven R., Espinosa, Dalisa, Quiles, Kirsten J., Girotra, Saket, Drum, Carrie, Miller-Cox, Kimberly, Ollinger, Amy, Almousalli, Omar, Capasso-Gulve, Elizabeth, Melanie Loehr, Alaine, Mosley, Marlowe, Krishnam, Mayil S., Heydari, Shirin, Milliken, Jeffrey C., Lundeen, Andrea M., Patel, Pranav M., Karanjah, Edgar, Seto, Arnold H., Marfori, Wanda C., Harley, Kevin T., Hernandez-Rangel, Eduardo, Gibson, Michael A., Singh, Pam, Allen, Byron J., Coram, Rita, Marie Webb, Anne, Fridell, Ellie, Wilson, Heidi, Thomas, Sabu, Kim, Angela, Schwartz, Ronald G, Wilmot, Patrick, Chen, Wei, El Shahawy, Mahfouz, Stevens, Ramona, Stafford, James, Black, Loriane, Abernethy, William B., Hull, Amber B., Lim, Olivia J., Tucker, Helen C., Putnam, Natasha C., Hall, Linda L., Cauthren, Tia, Tucker, Trish, Zurick, Andrew, Horton, Hollie, Orga, Jan, Meyer, Thomas M., White, Joyce R., Morford, Ronald G., Baumann, Cynthia, Rutkin, Bruce, Seeratan, Vidya, Bokhari, Sabahat, Jimenez, Magnolia, Sokol, Seth I., Schultz, Cidney, Meisner, Jay, Russo, Jeanne, Hamzeh, Ihab, Misra, Arunima, Huda, Zohra, Wall, Matthew, Boan, Araceli, Lenges De Rosen, Veronica, Alam, Mahboob, Turner, Michael C., Hinton, Christine R, Mulhearn, Thomas J., Good, Arnold P., Archer, Beth A., Dionne, Julia S., Allardyce, Cheryl A., Sikora, Lindsey N., Czerniak, Jennifer H., Mull, Jennifer A., Ferguson, Elizabeth, Laube, Frances, Shammas, Nicolas W., Shammas, Gail A, Christensen, Lori, Park, Holly, Chilton, Robert, Hecht, Joan, Nguyen, Patricia K., Vo, Davis, Hirsch, James, Jezior, Matthew, Bindeman, Jody, Salkind, Sara, Espinosa, Dalisa, Desimone, Lori-Ann, Gordon, Paul C., Felix-Stern, Lina, Crain, Thomas, Gomes, Jassira, Gordon, Catherine, Stenberg, Robert, Mann, Aimee, McCreary, Theresa, Pedalino, Ronald P., Cobos, Stanley E., Dwyer, Raven R., Espinosa, Dalisa, Quiles, Kirsten J., Wiesel, Joseph, Cobos, Stanley E., Dwyer, Raven R., Espinosa, Dalisa, Quiles, Kirsten J., Juang, George J., Gopaul, Candace, Hultberg, Karen, Huk, Tauqir, Hussain, Afshan, Al-Amoodi, Mohammed, Zambrano, Yesenia, Medina Rodriguez, Sarah, Milner, Trudie, Wohns, David, Mulder, Abbey, Van Oosterhout, Stacie, Lader, Ellis W., Meyer, Martha, Mumma, Michael, Clapp, Nancy L., Barrentine, Heather, Dharmarajan, Lekshmi, Jose, Jenne M., Cobos, Stanley E., Dwyer, Raven R., Espinosa, Dalisa, Quiles, Kirsten J., Manchery, Jenne, McGarvey Jr, Joseph F.X., McKinney, Vera, Schwarz, Linda, Downes, Thomas R., Kaczkowski, Scott M., Luckasen, Gary J., Jaskowiak, Adam J., Klitch, Joel, Cheong, Benjamin, Dees, Debra, Potluri, Srinivasa, Vasquez, Precilia, Mastouri, Ronald A., Breall, Jeffery A., Hannemann, Elise L., Revtyak, George E., Mae Foltz, Judy, Bazeley, Jonathan W., Li, Dayuan, DeRosa, Emily, Jorgenson, Beth, Riestenberg-Smith, Joyce, Giedd, Kenneth, Old, Wayne, Bariciano, Rebecca, Burt, Francis, Sokhon, Kozhaya, Waldron, Jessica, Mayon, Michelle, Gopal, Deepika, Valeti, Uma S., Ann Peichel, Gretchen, Kobashigawa, Jon, Starks, Brandy, Garcia, Lucilla, Thottam, Maria, Bhargava, Balram, Anand, Anjali, Chakanalil Govindan, Sajeev, Raj, Janitha, Gopalan Nair, Rajesh, Ravindran, Reshma, Rajalekshmi, VS, Nataraj, Nandita, Moorthy, Nagaraja, Nayak, Soundarya, Mylarappa, Mahevamma, Narayanappa, Suryaprakash, Pandit, Neeraj, Bajaj, Sheromani, Kumar Nath, Ranjit, Yadav, Vandana, Mishra, Girish, Dwivedi, S.K., Tewari, Roma, Narain, V.S., Mishra, Meenakshi, Chandra, Sharad, Patel, Shivali, Singh, Suman, Wander, Gurpreet S., Tandon, Rohit, Ralhan, Sarju, Kaur, Baljeet, Aslam, Naved, Gupta, Sonika, Goyal, Abhishek, Bhargava, Balram, Suvarna, Chandini, Karthikeyan, G., Ramakrishnan, S., Seth, Sandeep, Yadav, Rakesh, Singh, Sandeep, Roy, Ambuj, Parakh, Neeraj, Kumar Verma, Sunil, Narang, Rajiv, Mishra, Sundeep, Naik, Nitish, Sharma, Gautam, Kumar Choudhary, Shiv, Patel, Chetan, Gulati, Gurpreet, Sharma, Sanjeev, Bahl, V K, Mathew, Anoop, Mannekkattukudy Kurian, Binoy, Punnoose, Eapen, Avdhoot Gadkari, Milind, Rupesh Karwa, Sheetal, Gadage, Siddharth, Kolhe, Suvarna, Umesh Pillay, Tapan, Satheesh, Santhosh, Vindhya, R. J., Jain, Peeyush, Seth, Ashok, Singh Meharwal, Zile, Mathur, Atul, Verma, Atul, Kaul, Upendra, Bhatia, Mona, Sachdeva, Ankush, Indira Devi, Thounaojam, Jungla, Nungshi, Christopher, Johann, Manjula Rani, K., Menon, Rajeev, Sowjanya Reddy, M., Kumar, Nirmal, Preethi, K., Oomman, Abraham, sidh, Rinu R, Mao, Robert, Ramakrishnan, T., Solomon, Hilda, Francis, Rajesh, Naik, Sudhir, Vamshi, Priya P., Parveen Khan, Sajeeda, Christopher, Johann, Preethi, Kotiboinna, Kumar, Nirmal, Grant, Purvez, Hande, Shweta, Sonawane, Poonam, Kachru, Ranjan, Dubey, Abhishek, Rawat, Kavita, Kumar, Ajit, Ganapathi, Sanjay, K, Jayakumar, CP, Vineeth, Sivadasanpillai, Harikrishnan, Chacko, Manas, Sasidharan, Bijulal, Babu, Suresh, TR, Kapilamoorthy, Christopher, Johann, Reddy, Sowjanya, Polamuri, Praneeth, Rani, Manjula, Kaul, Upendra, Arambam, Priyadarshani, Singh, Bebek, Senior, Roxy, Fox, Keith AA, Young, Grace M., Carruthers, Kathryn, Senior, Roxy, Elghamaz, Ahmed, Gurunathan, Sothinathan, Karogiannis, Nikolaos, Young, Grace M., Shah, Benoy N, Kinsey, Christopher, Trimlett, Richard HJ, Kavalakkat, Raisa, Rubens, Michael B, Evans, Jo, Nicol, Edward D, Hassan, Ikraam, Mittal, Tarun K, Hampson, Reinette, Andreas Gamma, Reto, Williams, Sarah, Holland, Kim, Swan, Karen, de Belder, Mark A, Atkinson, Bev, Thambyrajah, Jeet, Kunhunny, Swapna, Davies, John R, Lindsay, Steven J., Atkinson, Craig, Kurian, John, Krannila, Carita, Jamil, Haqeel, Vinod, Manitha, Raheem, Osama, Hoye, Angela, Chaytor, Lisa, Cox, Leanne, Morrow, Julie, Rowe, Kay, Donnelly, Patrick, Kelly, Stephanie, Valecka, Bernardas, Regan, Susan, Turnbull, Dawn, Chauhan, Anoop, Fleming, Catherine, Ghosh, Arijit, Gratrix, Karen, Preston, Stephen, Barr, Craig, Cartwright, Anne, Alfakih, Khaled, Knighton, Abigail, Byrne, Jonathan, Martin, Katherine, Webb, Ian, Henriksen, Peter, Flint, Laura, Harrison, James, OKane, Peter, Lakeman, Nicki, Ljubez, Anja, de Silva, Ramesh, Conway, Dwayne S. G., Wright, Judith, Exley, Donna, Sirker, Alexander A, Andiapen, Mervyn, Richards, Amy J., Hoole, Stephen P, Wong, Lisa, Witherow, Fraser N., Munro, Melanie J., Johnston, Nicola, Harbinson, Mark, McEvoy, Michelle, Walsh, Simon, Brown, Caroline, Douglas, Hanna, Luckie, Matthew, Charles, Thabitha, Kolakaluri, Laurel, Phillips, Hannah, Sobolewska, Jolanta, Morby, Louise, Hallett, Karen, Corbett, Carolyn, Winstanley, Lynne, Jeetley, Paramjit, Smit, Angelique, Patel, Niket, Kotecha, Tushar, Travill, Christopher, Gent, Susan, Karimullah, Iqbal, Hussain, Nafisa, Al-Bustami, Mahmud, Braganza, Denise, Haines, Fiona, Taaffe, Joanne, Henderson, Robert, Burton, Jane, Pointon, Kate, Colton, Maria, Naik, Surendra, King, Rachel, Mathew, Thomas, Brown, Ammani, Docherty, Andrew, Berry, Colin, McCloy, Lisa, Collison, Damien, Robb, Kate, Roditi, Giles, Paterson, Craig, Crawford, Wenda, Kelly, Joanne, McGregor, Lorraine, Moriarty, Andrew J, Mackin, Anne, Glover, Jason D., Knight, Janet P, Pradhan, Jiwan, Mikhail, Ghada, Bose, Tuhina, Francis, Darrel P., Dzavik, Vladimir, Goodman, Shaun, Gosselin, Gilbert, Gosselin, Gilbert, Proietti, Anna, Brousseau, Myriam, Corfias, Magalie, Blaise, Patricia, Harvey, Luc, Diaz, Ariel, Rheault, Philippe, Barrero, Miguel, Gagné, Carl-Éric, Alarie, Patricia, Pépin-Dubois, Yanek, Arcand, Linda, Costa, Ricardo, Roy, Isabelle, Tung Sia, Ying, Montpetit, Estelle, Lemay, Catherine, Gisbert, Alejandro, Gervais, Pierre, Rheault, Alain, Drouin, Katia, Carl Phaneuf, Denis, Bergeron, Christine, Gosselin, Gilbert, Shelley, Christine, Masson, Christine, Garg, Pallav, Carr, Sandy, Bone, Catherine, Chow, Benjamin J.W., Moga, Ermina, Hessian, Renee C., Kourzenkova, Janetta, Beanlands, Rob S., Walter, Olga, Davies, Richard F., Bainey, Kevin R., Hogg, Norma, Welsh, Suzanne, Cheema, Asim N., Bagai, Akshay, Wald, Ron, Goodman, Shaun, Kushniriuk, Khrystyna, Joseph Graham, John, Hussain, Mohammed, Peterson, Mark, Bello, Olugbenga, Chow, Chi-Ming, Abramson, Beth, Nazir Cheema, Asim, Syed, Ishba, Hussain, Mohammed, Kushniriuk, Khrystyna, Cha, James, Otis, Judy, Otis, Rebecca, Howarth, Andrew G, Seib, Michelle M, Rivest, Sandra M, Sandonato, Rosa, Wong, Graham, Chow, Jackie, Starovoytov, Andrew, Uchida, Naomi, Meadows, Ngaire, Uxa, Amar, Asif, Nadia, Tavares, Suzana, Galiwango, Paul, Bozek, Bev, Kassam, Saleem, Shier, Maria, Mukherjee, Ashok, Larmand, Lori-Ann, Ricci, A. Joseph, Janmohamed, Amir, Hart, Brenda, Lam, Andy, Marucci, Jane, Tai, Sharon, Mehta, Shamir, Brons, Sonya, Beck, Chris, Wong, Glenda, Etherington, Krystal, Arumairajah, Thippeekaa, Udell, Jacob, Aprile, Maria, Karlsson, Sara, Webber, Susan, Généreux, Philippe, Mercure, Chantale, Hameed, Adnan, Aedy, Nancy, Daba, Ledjalem, Farquharson, Fran, Siddiqui, Anam, Carlos Carvalho, Antonio, Lopes, Renato D., Hueb, Whady, Emy Takiuti, Myrthes, Cury Rezende, Paulo, Eustáquio Ribeiro Silva, Expedito, Ciappina Hueb, Alexandre, Pizzol Caetano, Leonardo, Schaan de Quadros, Alexandre, Abdala Karam Kalil, Renato, Peixoto Deiro, Aline, Luiz da Costa Vieira, José, Manica Muller, Alice, Antonieta Pereira de Moraes, Maria, Píccaro de Oliveira, Pedro, Maria Ascoli, Bruna, Bridi, Leonardo, Zottis Poletti, Sílvia, Savaris, Simone, Vitola, João V, Cerci, Rodrigo J, Zier, Sandra S., Farias, Fabio R, Veiga Jr, Vilmar, Fernandes, Miguel M, Antonio Marin-Neto, José, Schmidt, André, de Oliveira Lima Filho, Moysés, Franca da Cunha, Diego, Mendes Oliveira, Ricardo, Reynaldo Abbud Chierice, João, Polanczyk, Carísi A., Rucatti, Guilherme G, Furtado, Mariana V., Igansi, Fernanda, Smidt, Luis F., Haeffner, Mauren P, Carlos Carvalho, Antonio, Almeida, Viviane, Pucci, Gustavo, Sanchez de Souza, Gabriela, Lyra, Flavio, Rabelo Alves Junior, Alvaro, Almeida, Mayana, dos Santos, Viviane, Dracoulakis, Marianna D. A., Oliveira, Natalia S, Lima, Rodolfo G. S. D, Figueiredo, Estevao, Edilena Paulino Azevedo, Bruna, Ricardo Caramori, Paulo, Bizzaro Santos, Marco, Germann, Amanda, Gomes, Vitor, Homem, Rosa, Magedanz, Ellen, Tumelero, Rogerio, Laimer, Rosane, Tognon, Alexandre, Dall’Orto, Frederico, Mesquita, Claudio T., Santos, Roberta P, Colafranseschi, Alexandre S., Oliveira, Amarino C., Carvalho, Luiz A., Palazzo, Isabella C., Sousa, Andre S., Eustáquio Ribeiro da Silva, Expedito, Gabriel Melo de Barros e Silva, Pedro, Yumi Okada, Mariana, de Pádua Silva Baptista, Luciana, Paula Batista, Ana, Jamus Rodrigues, Marcelo, Nogueira Rabaça, Aline, Valério Coimbra de Resende, Marcos, Francisco Saraiva, Jose, Miranda Trama, Larissa, Silva, Talita, Thais de Souza Ormundo, Camila, Vicente, Carla, Costantini, Costantino, Pinheiro, Caroline, Komar, Daniele, Szwed, Hanna, Demkow, Marcin, Kepka, Cezary, Teresinska, Anna, Walesiak, Olga, Kryczka, Karolina, Malinowska, Katarzyna, Henzel, Jan, Solecki, Mateusz, Kaczmarska, Edyta, Mazurek, Tomasz, Maksym, Jakub, Wojtera, Karolina, Fojt, Anna, Szczerba, Ewa, Drozdz, Jaroslaw, Czarniak, Bartosz, Frach, Malgorzata, Szymczyk, Konrad, Niedzwiecka, Iwona, Sobczak, Sebastian, Ciurus, Tomasz, Jakubowski, Piotr, Misztal-Teodorczyk, Magdalena, Teodorczyk, Dawid, Swiderek, Marta, Fratczak, Aleksandra, Wojtala, Ewelina, Szkopiak, Marcin, Lebioda, Patrycja, Wlodarczyk, Michal, Plachcinska, Anna, Kusmierek, Jacek, Miller, Magdalena, Marciniak, Halina, Wojtczak-Soska, Karolina, Łuczak, Katarzyna, Tarchalski, Tomasz, Cichocka-Radwan, Anna, Szwed, Hanna, Karwowski, Jaroslaw, Anna Szulczyk, Grazyna, Witkowski, Adam, Kukuła, Krzysztof, Celińska-Spodar, Małgorzta, Zalewska, Joanna, Gajos, Grzegorz, Bury, Krzysztof, Pruszczyk, Piotr, Łabyk, Andrzej, Roik, Marek, Szramowska, Agnieszka, Zdończyk, Olga, Łoboz-Grudzień, Krystyna, Jaroch, Joanna, Sokalski, Leszek, Brzezińska, Barbara, Lesiak, Maciej, Łanocha, Magdalena, Reczuch, Krzysztof W., Kolodziej, Adam, Kalarus, Zbigniew, Swiatkowski, Andrzej, Szulik, Mariola, Musial, Wlodzimierz J., Marcinkiewicz-Siemion, Marta, Bockeria, Olga, Bockeria, Leo, Bockeria, Olga, Petrosyan, Karen, Kudzoeva, Zalina, Trifonova, Tatiana, Aripova, Nodira, Chernyavskiy, Alexander M., Naryshkin, Ivan A., Kretov, Evgeniy I., Kuleshova, Alena, Grazhdankin, Igor O., Malaev, Dastan, Bershtein, Leonid L., Sayganov, Sergey A., Subbotina, Irina, Kuzmina-Krutetskaya, Anastasia M., Gumerova, Victoria, Zbyshevskaya, Elizaveta V., Katamadze, Nana O., Nikolaeva, Olga B., Kozlov, Pavel S., Kozulin, Vikentiy Y., Lubinskaya, Ekaterina I., Luis Lopez-Sendon, Jose, Castro, Almudena, Lopez-Sendon, Jose, Fernández-Figares, Virginia, Castro, Almudena, Refoyo Salicio, Elena, Guzman, Gabriela, Galeote, Gabriel, Valbuena, Silvia, Peteiro, Jesús, Dolores Martínez-Ruíz, María, Pérez-Fernández, Ruth, Blanco-Calvo, Moisés, Cuenca-Castillo, José J, Alonso-Álvarez, Encarnación, Flores-Ríos, Xacobe, García-González, Paula, Prada-Delgado, Óscar, Barge-Caballero, Gonzalo, Ramon Gonzalez Juanatey, Jose, Seijas Amigo, Jose, Souto Bayarri, Miguel, Pubull Nuñez, Virginia, Ocaranza Sanchez, Raymundo, Cid Alvarez, Belen, Peña Gil, Carlos, Martinez Monzonis, Amparo, Sionis, Alessandro, Fernández Martínez, Ana, Vila Perales, Montserrat, Maria Padró, Josep, Serra Peñaranda, Antonio, García Picart, Joan, Ginel Iglesias, Antonino, Garcia-Moll Marimon, Xavier, Pons Lladó, Guillem, Carreras Costa, Francesc, Miro, Vicente, Igual, Begoña, Diez, Jose L, Calvillo, Pilar, Ortuño, F. Marin, Valdés Chávarri, M., Quintana Giner, M., Tello Montolliu, A., Romero Aniorte, A.I., Pinar Bermudez, E., Rivera Caravaca, JM., De La Morena, G., Gracida Blancas, Montserrat, Cañavate, Olga, Guerrero, Sonia, Riera, Silvia, Enrique Castillo Luena, Jose, Enrique Castillo Luena, Jose, Lasala, Maria, Fernandez-Aviles, Francisco, Lorenzo, Maria, Sobrino, Olga, Vazquez, Alexandra, Jiang, Lixin, Chen, Jiyan, Dong, Haojian, He, Peiyu, Xia, Chunli, Yang, Junqing, Zhong, Qi, Wu, Yongjian, Tian, Yanmeng, Li, Dongze, Ma, Yitong, Li, Xiaomei, Yang, Yining, Ma, Xiang, Yu, Zixiang, Zhao, Qian, Ji, Zheng, Li, Chunguang, Zhang, Lei, Zhao, Yu, Zhu, Bolin, Yang, Xinchun, Chen, Mulei, Chi, Hongjie, Wang, Yang, Zhang, Jing, Lin, Wenhua, Jing, Rui, Liu, Jingjing, Zeng, Hesong, Zhou, Qiang, Xu, Chang, Li, Zhuxi, Li, Junhua, Xiong, Luyang, Fu, Xin, Gao, Dan, Jiang, Dengke, Leng, Ran, Wang, Xutong, Yuan, Qianqian, Zhang, Lili, Yang, Bin, Bai, Ziliang, Li, Jianhua, Qi, Jie, Wang, Fei, Wang, Haitao, Yang, Bin, Yue, Zhou, Zhang, Zhulin, Wang, Songtao, Dong, Yumei, Mao, Jiajia, Zhang, Bin, Cheng, Gong, Li, Xiuhong, Yao, Xiaowei, Zhong, Nier, Zhou, Ning, Zhao, Yulan, Huang, Yaping, Zhou, Panpan, Fang, Xuehua, Su, Wei, Zeng, Qiutang, Kunwu, Yu, Peng, Yudong, Su, Xin, Su, Xi, Wang, Chen, Zhao, Yunhai, Li, Qingxian, Geng, Yaming, Wang, Yanfu, Nie, Shao-ping, Fan, Jing-yao, Feng, Si-ting, Wang, Xiao, Yan, Yan, Zhang, Hui-min, Yu, Qin, Chi, Lingping, Liu, Fang, Wang, Jian’an, Chen, Han, Jiang, Jun, Li, Huajun, Wang, Jian’an, Han, Yechen, Xu, Lihong, Zhang, Shuyang, Liu, Zhenyu, Liu, Zhenyu, Chen, Gang, Hu, Rongrong, Maggioni, Aldo P., Piero Perna, Gian, Pietrucci, Francesca, Marini, Marco, Gabrielli, Gabriele, Provasoli, Stefano, Di Donato, Anna, Verna, Edoardo, Monti, Lorenzo, Nardi, Barbara, Di Chiara, Antonio, Pezzetta, Francesca, Mortara, Andrea, Casali, Valentina, Galvani, Marcello, Attanasio, Chiara, Ottani, Filippo, Sicuro, Marco, Leone, Gianpiero, Pisano, Francesco, Bare, Cristina, Calabro, Paolo, Fimiani, Fabio, Formisano, Tiziana, Tarantini, Giuseppe, Barioli, Alberto, Cucchini, Umberto, Ramani, Federica, Luigi Andres, Anto, Racca, Emanuela, Rolfo, Fabrizio, Goletto, Cecilia, Briguori, Carlo, De Micco, Francesca, Amati, Roberto, Di Marco, Stefano, Vergoni, William, Tricoli, Martina, Russo, Aldo, Villella, Massimo, Fanelli, Raffaele, Douglas White, Harvey, Alsweiler, Caroline, Poh, Kian-Keong, Chai, Ping, Lau, Titus, Loh, Joshua P., Tay, Edgar L., Teoh, Kristine, Tan, Sik-Yin V, Teo, Lynette L., Sia, Winnie C, Ong, Ching-Ching, Leong, Audrey W, Wong, Raymond C., Loh, Poay-Huan, Kofidis, Theodoros, Xian Chan, Wan, Hui Chan, Koo, Foo, David, Hai Yan, Li, Loh Kwok Kong, Jason, Min Er, Ching, Haider Jafary, Fahim, Chua, Terrance, Ismail, Nasrul, Tun Kyaw, Min, Yip, Deborah, Doerr, Rolf, Doerr, Rolf, Stumpf, Juergen, Grahl, Dorit, Matschke, Klaus, Guenther, Franziska, Simonis, Gregor, Bonin, Kerstin, Kadalie, Clemens T., Sechtem, Udo, Wenzelburger, Ina, Ong, Peter, Gruensfelder, Susanne, Christian Schulze, P., Goebel, Bjoern, Lenk, Karsten, Nickenig, Georg, Sinning, Jan-Malte, Weber, Marcel, Werner, Nikos, Marthe Lang, Irene, Huber, Kurt, Schuchlenz, Herwig, Steinmaurer, Gudrun, Weikl, Stefan, Marthe Lang, Irene, Winter, Max-Paul, Andric, Tijana, Huber, Kurt, Tscharre, Maximilian, Jakl-Kotauschek, Gabriele, Wegmayr, Claudia, Jäger, Bernhard, Egger, Florian, Keltai, Matyas, Vertes, Andras, Sebo, Judit, Davidovits, Zoltan, Matics, Laszlone, Varga, Albert, Ágoston, Gergely, Fontos, Geza, Dekany, Gabor, Merkely, Bela, Bartykowszki, Andrea, Maurovich-Horvat, Pal, Kerecsen, Gabor, Jakal, Agnes, Hinic, Sasa, Djokic, Jelena, Zdravkovic, Marija, Mudrenovic, Vladan, Crnokrak, Bogdan, Beleslin, Branko D., Boskovic, Nikola N., Djordjevic-Dikic, Ana D., Petrovic, Marija T., Giga, Vojislav L., Dobric, Milan R., Stepanovic, Jelena J., Markovic, Zeljko Z., Mladenovic, Ana S., Cemerlic-Adjic, Nada, Velicki, Lazar, Kamenica, Sremska, Pupic, Ljiljana, Davidović, Goran, Simović, Stefan M., Vučić, Rada, Dekleva, Milica Nikola, Martinovic, Miroslav Stevo, Stevanovic, Gordana, Stankovic, Goran, Dobric, Milan, Apostolovic, Svetlana, Martinovic, Sonja Salinger, Stanojevic, Dragana, Escobedo, Jorge, Jesús-Pérez, Ramon de, Juarez, Benito, Baleón-Espinosa, Rubén, Campos-Santaolalla, Arturo S, Durán-Cortés, Elihú, Flores-Palacios, José M, García-Rincón, Andrés, Jiménez-Santos, Moisés, Peñafiel, Joaquín V, Ortega-Ramírez, José A, Valdespino-Estrada, Aquiles, Rosas, Erick Alexánderson, Canales Brassetti, María Fernanda, Vences Anaya, Diego Adrián, García, María Pérez, Carvajal Juarez, Isabel Estela, Rovalo, Magdalena Madero, Morales Rodríguez, Erick Donato, Selvanayagam, Joseph B., Rankin, Jamie, Murphy, Deirdre, Selvanayagam, Joseph B., Lee, Sau, Joseph, Majo X., Thomas, Prince, Thambar, Suku T., Chaplin, Melissa D, Boer, Stephanie C, Beltrame, John F., Stansborough, Jeanette K., Black, Marilyn, Hillis, Graham S., Bonner, Michelle M., Ireland, Kim F., Venn-Edmonds, Clare, Steg, Philippe-Gabriel, Abergel, Helene, Juliard, Jean-Michel, Thobois, Corine, Pasteur, C.H. Louis, Thuaire, Christophe, Tachot, Emilie, Dutoiu, Téodora, Laure, Christophe, Vassaliere, Christel, Steg, Philippe Gabriel, Abergel, Helene, Juliard, Jean-Michel, Fuentes, Axelle, Slama, Michel S., Eliahou, Ludivine, Cedex, Clamart, El Mahmoud, Rami, Dubourg, Olivier, Michaud, Pierre, Nicollet, Eric, Hadjih, Sarah, Cedex, Corbeil-Essonnes, Goube, Pascal, Brito, Patricia, Barone-Rochette, Gilles, Barone-Rochette, Gilles, Furber, Alain, Cornet, Charles, Bière, Loïc, Rautureau, Jeremy, Juceviciene, Agne, Kalibataite-Rutkauskiene, Irma, Keinaite, Laura, Laucevicius, Aleksandras, Laukyte, Monika, Celutkiene, Jelena, Mikolaitiene, Gelmina, Smigelskaite, Akvile, Tamasauskiene, Ilona, Urboniene, Agne, Kedhi, Elvin, Klinieken, Isala, Timmer, Jorik, Bouwhuis, Ilse, Hermanides, Rik, Nijmeijer, Lia, Kaplan, Eliza, Riezebos, Robert K., Samadi, Pouneh, Schoep Jeannette, J. M., Dongen, Elise van, Janzen, Elisabeth M., Niehe, Sander R., Suryapranata, Harry, Ahoud, Sandra, Vugt, Stijn van, Ramos, Ruben, Santa Marta, Hospital de, Cacela, Duarte, Santana, Ana, Fiarresga, Antonio, Sousa, Lidia, Marques, Hugo, Patricio, Lino, Selas, Mafalda, Bernanrdes, Luis, Silva, Filipa, Rio, Pedro, Freixo, Cláudia, Carvalho, Ramiro, Ferreira, Rui, Silva, Tiago, Rodrigues, Ines, Modas, Pedro, Portugal, Guilherme, Fragata, Jose, Pinto, Fausto J., Cabrita, Inês Zimbarra, Menezes, Miguel Nobre, Rocha, Andreia, Lopes, Guilhermina Cantinho, Figueiras, Francisca Patuleia, Almeida, Ana Gomes, Coelho, Andreia, CanVas Silva, Pedro, Capinha, Marta, Nobre, Angelo, Caetano, Maria Inês, Francisco, Ana Rita, Silva, Susana, Ferreira, Nuno, de Gaia, Vila Nova, Lopes, Ricardo L., Diaz, Rafael, Guzman, Luis, Tinnirello, Veronica, Figal, Julio César, Nicolás Mungo, Matías, Buenos Aires, Ciudad Autonoma de, Méndiz, Oscar, Cortés, Claudia, Favaloro, Roberto René, Alvarez, Carlos, Garcia, Marina, Blanca, Bahia, Courtis, Javier, Godoy, Valeria, Zeballos, Gabriela, Schiavi, Lilia, Actis, Maria Victoria, Rubio, Mariano, Scaro, Graciela, White, Harvey Douglas, Alsweiler, Caroline, Devlin, Gerard Patrick, Low, Liz, Fisher, Raewyn, Scales, Jayne, Abercrombie, Kirsty, Stewart, Ralph Alan Huston, Howell, Leah, White, Harvey Douglas, Patten, Cathrine, Benatar, Jocelyne, Kedev, Sasko, Mitevska, Irena Peovska, Kostovska, Elizabeta Srbinovska, Pejkov, Hristo, Held, Claes, Held, Claes, Eggers, Kai, Frostfelt, Gunnar, Björklund, Christina, Johnston, Nina, Andreasson, Maria, Olsowka, Maciej, Essermark, Marie, Åkerblom, Axel, Soveri, Inga, Aspberg, Johannes, Persson, Liselotte, Beyar, Rafael, Sharir, Tali, Nikolsky, Eugenia, Sharir, Tali, Harel, Or, Elian, Dan, Kerner, Arthur, Bentzvi, Margalit, Massalha, Samia, Helmer, Ludmila, Kohsaka, Shun, Fukuda, Keiichi, Ueda, Ikuko, Kohsaka, Shun, Fujita, Jun, Yasuda, Satoshi, Furukawa, Akemi, Hirase, Kanae, Nagai, Toshiyuki, Otsuka, Fumiyuki, Nishimura, Shigeyuki, Nakano, Shintaro, de Werf, Frans Van, Goetschalckx, Kaatje, Goetschalckx, Kaatje, Robesyn, Valerie, de Werf, Frans Van, Claes, Kathleen, White, Harvey Douglas, Alsweiler, Caroline, Hung, Chung-Lieh, Yang, Yi-Hsuan, Yun, Chun-Ho, Hou, Charles Jia-Yin, Kuo, Jen-Yuan, Yeh, Hung-I, Hung, Ta-Chuan, Li, Jiun-Yi, Chien, Chen-Yen, Tsai, Cheng-Ting, Liu, Chun-Chieh, Yu, Fa-Chang, Lin, Yueh-Hung, Lan, Wei-Ren, Yen, Chih-Hsuan, Tsai, Jui-Peng, Sung, Kuo-Tzu, Ntsekhe, Mpiko, Pandie, Shaheen, Philander (Nee Talliard), Constance, Viljoen, Charle A, Mtana, Noloyiso, De Andrade, Marianne, Maggioni, Aldo P., Moccetti, Tiziano, Anesini, Adriana, Rossi, M.Grazia, Maspoli, Simona, Mombelli, Manuela, Abdelhamid, Magdy, Talaat, Ahmed, Adel, Ahmed, Kamal, Ahmed, Mahrous, Hossam, Kaffas, Sameh El, Fishawy, Hussien El, Pop, Calin, Claudia, Matei, Popescu, Bogdan A., Ginghina, Carmen, Rosca, Monica, Deleanu, Dan, Beladan, Carmen C., Iliescu, Vlad A., Al-Mallah, Mouaz H., Zahrani, Sarah, Aljzeeri, Ahmed, Najm, Hani, Alghamdi, Ali, Mogrovejo Ramos, Walter Enrique, Monsalve Davila, Marco Antonio, White, Harvey Douglas, Alsweiler, Caroline, Kuanprasert, Srun, Mai, Chiang, Prommintikul, Arintaya, Nawarawong, Weerachai, Khwakhong, Supatchara, Woragidpoonpol, Surin, Chaiyasri, Anong, Tepsuwan, Thitipong, Mekara, Warangkana, Taksaudom, Noppon, Kulthawong, Supap, Rimsukcharoenchai, Chataroon, Amaritakomol, Anong, Euathrongchit, Juntima, Wannasopha, Yutthaphan, Yamwong, Sukit, Panpunuan, Pachara, Sritara, Piyamitr, Aramcharoen, Suthara, Meemuk, Krissada, White, Harvey Douglas, Alsweiler, Caroline, Khairuddin, Ahmad, Mokhtar, Noor Syamira, Hadi, Hafidz Abd, Basri, Nor Asiah, Yahaya, Shaiful Azmi, Yusnida, Irni, Hashim, Humayrah, Harrington, Robert, Williams, David, Alexander, Karen P., Berger, Jeffrey, Harrington, Robert, Mark, Daniel, O’Brien, Sean M., Rosenberg, Yves, Shaw, Leslee J., Ballantyne, Christie, Berman, Daniel, Beyar, Rafael, Bhargava, Balram, Buller, Chris, (Tony) Carvalho*, Antonio, Chaitman, Bernard R., Diaz, Rafael, Doerr, Rolf, Dzavik, Vladimir, Goodman, Shaun, Gosselin, Gilbert, Hachamovitch, Rory, Hamm, Christian, Held, Claes, Helm, Malte, Huber, Kurt, Jiang, Lixin, Keltai, Matyas, Kohsaka, Shun, Lang, Irene, Lopes, Renato, Lopez-Sendon, Jose, Maggioni, Aldo, Bairey Merz, C. Noel, Min, James, Peterson, Eric, Picard, Michael H., Selvanayagam, Joseph, Senior, Roxy, Sharir, Tali, Steg, Gabriel, Szwed, Hanna, de Werf, Frans Van, Weintraub, William, White, Harvey, Williams, David, Ballantyne, Christie, Calfas*, Karen, Chaitman, Bernard R., Champagne, Mary Ann, Davidson, Michael, Fleg, Jerome, McCullough, Peter A., Stone, Peter, Menasche, Philippe, Davidson*, Michael, Fremes, Stephen, Guyton, Robert, Mack, Michael, Mohr, Fred, Rao, Anupama, Sabik, Joe, Shapira, Oz, Taggart, David, Tatoulis, James, Williams, David, Blankenship, Jim, Brener, Sorin, Buller, Chris, Colombo, Antonio, Bruyne, Bernard de, Généreux, Philippe, Harrington, Robert, Kereiakes, Dean, Lefevre, Thierry, Moses, Jeffrey, Chaitman, Bernard R., Alexander, Karen P., Mahaffey, Ken, White, Harvey, Chaitman, Bernard R., Cruz-Flores, Salvador, Danchin, Nicholas, Feen, Eli, Garcia, Mario J., Hauptman, Paul, Laddu, Abhay A., Passamani, Eugene, Pina, Ileana L., Simoons, Maarten, Skali, Hicham, Thygesen, Kristian, Waters, David, Alexander, Karen P., Endsley, Patricia, Esposito, Gerard, Kanters, Jeffrey, Pownall, John, Stournaras, Dimitrios, Shaw, Leslee J., Berman, Daniel, Friedrich, Matthias, Hachamovitch, Rory, Kwong, Raymond, Min, James, Oliver, Dana, Picard, Michael H., Harrell, Frank, Blume, Jeffrey, Lee, Kerry, O’Brien, Sean M., Berger, Jeffrey, Held, Claes, Kullo, Iftikhar, McManus, Bruce, Newby, Kristin, Mark, Daniel, Cohen, David, Weintraub, William, Merz, C. Noel Bairey, Bugiardini, Raffaele, Celutkiene, Jelena, Escobedo, Jorge, Hoye, Angela, Lyubarova, Radmila, Mattina, Deirdre, Peteiro, Jesus, Alexander, Karen P., Berger, Jeffrey, Harrington, Robert, O’Brien, Sean M., Rosenberg, Yves, Mark, Daniel, Mark, Daniel, Shaw, Leslee J., Berman, Dan, Chaitman, Bernard R., Fleg, Jerome, Kwong, Raymond, Picard, Michael H., Senior, Roxy, Min, James, Leipsic, Jonathan, Ali, Ziad, Williams, David, Fleg, Jerome, Berger, Jeffrey, Chaitman, Bernard R., Alexander, Karen P., Alexander, Karen P., Fleg, Jerome, Mathew, Roy, O’Brien, Sean M., Sidhu, Mandeep, Friedman, Lawrence, Anderson, Jeffrey, Berg, Jessica, DeMets, David, Gibson, C. Michael, Lamas, Gervasio, Deming, Nicole, Himmelfarb, Jonathan, Ouyang, Pamela, Woodard, Pamela, Harrell, Frank, Nwosu, Samuel, Rosenberg, Yves, Fleg, Jerome, Kirby, Ruth, Jeffries, Neal, Berger, Jeffrey, Sidhu, Mandeep, Denaro*, Jean E., Mavromichalis, Stephanie, Chan, Kevin, Cobb, Gia, Contreras, Aira, Cukali, Diana, Ferket, Stephanie, Gabriel, Andre, Hansen, Antonietta, Roberts, Arline, Chang, Michelle, Islam, Sharder, Wayser, Graceanne, Yakubov, Solomon, Yee, Michelle, Callison, Caroline, Hogan, Isabelle, Qelaj, Albertina, Pirro, Charlotte, Loo, Kerrie Van, Wisniewski, Brianna, Gilsenan, Margaret, Lang, Bevin, Mohamed, Samaa, Esquenazi-Karonika, Shari, Mathews, Patenne, Naumova, Anna, Lyo, Jihyun, Setang, Vincent, Xavier, Mark, O’Brien, Sean M., Alexander, Karen P., Mark, Daniel B., Anstrom, Kevin, Baloch, Khaula, Blount, Janet, Cowper, Patricia, Davidson-Ray, Linda, Drew, Laura, Harding, Tina, Knight, J David, Liu, Diane Minshall, O’Neal, Betsy, Redick, Thomas, Jones, Philip, Nugent, Karen, Wang, Grace Jingyan, Shaw, Leslee J., Phillips, Lawrence, Goyal, Abhinav, Hetrick, Holly, Oliver, Dana, Berman, Daniel, Hayes, Sean W., Friedman, John D., Gerlach, R. James, Hyun, Mark, Miranda-Peats, Romalisa, Slomka, Piotr, Thomson, Louise, Kwong, Raymond Y., Friedrich, Matthias, Mongeon, Francois Pierre, Michael, Steven, Picard, Michael H., Hung, Judy, Scherrer-Crosbie, Marielle, Zeng, Xin, Chaitman, Bernard R., Eckstein, Jane, Guruge, Bandula, Streif, Mary, Ali, Ziad, Genereux, Philippe, Alfonso, Maria A., Corral, Maria P., Garcia, Javier J., Horst, Jennifer, Jankovic, Ivana, Konigstein, Maayan, Lustre, Mitchel B., Peralta, Yolayfi, Sanchez, Raquel, Min, James, Arsanjani, Reza, Budoff, Matthew, Elmore, Kimberly, Gomez, Millie, Hague, Cameron, Hindoyan, Niree, Leipsic, Jonathan, Nakanishi, Rine, Srichai-Parsia, M. Barbara, Yeoh, Eunice, Youn, Tricia, Maggioni, Aldo P., Bianchini, Francesca, Ceseri, Martina, Lorimer, Andrea, Magnoni, Marco, Orso, Francesco, Sarti, Laura, Tricoli, Martinia, Carvalho, Antonio, Lopes, Renato, Barbosa, Lilian Mazza, Duarte, Tauane Bello, Soares, Tamara Colaiácovo, Aveiro Morata, Julia de, Carvalho, Pedro, Carvalho Maffei, Natalia de, Egydio, Flávia, Kawakami, Anelise, Oliveira, Janaina, Piloto, Elissa Restelli, Pozzibon, Jaqueline, Goodman, Shaun, Camara, Diane, Mowafy, Neamat, Spindler, Caroline, Jiang, Lixin, Dai, Hao, Feng, Fang, Li, Jia, Li, Li, Liu, Jiamin, Xie, Qiulan, Zhang, Haibo, Zhang, Jianxin, Zhang, Lihua, Zhang, Liping, Zhang, Ning, Zhong, Hui, Diaz, Rafael, Escobar, Claudia, Martin, Maria Eugenia, Pascual, Andrea, Lopez-Sendon, José, Moraga, Paloma, Hernandez, Victoria, Castro, Almudena, Posada, Maria, Fernandez, Sara, Villanueva, José Luis Narro, Selgas, Rafael, Steg, Gabriel, Abergel, Helene, Juliard, Jean Michel, White, Harvey, Alsweiler, Caroline, de Werf, Frans Van, Claes, Kathleen, Goetschalckx, Kaatje, Luyten, Ann, Robesyn, Valerie, Selvanayagam, Joseph B., Murphy, Deirdre, Ahmed, Asker, Bhatt, Richa, Chadha, Nitika, Kumar, Vijay, Lubna, Sadath, Naik, Pushpa, Pandey, Shruti, Ramasamy, Karthik, Saleem, Mohammed, Sharma, Pratiksha, and Siddaram, Hemalata
Published: 2024
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39. Transforming Cancer Classification: The Role of Advanced Gene Selection

Author: Abrar Yaqoob, Mushtaq Ahmad Mir, G. V. V. Jagannadha Rao, and Ghanshyam G. Tejani
Subjects: cancer classification, Mutual Information, Particle Swarm Optimization, Support Vector Machine, Medicine (General), R5-920
Abstract: Background/Objectives: Accurate classification in cancer research is vital for devising effective treatment strategies. Precise cancer classification depends significantly on selecting the most informative genes from high-dimensional datasets, a task made complex by the extensive data involved. This study introduces the Two-stage MI-PSA Gene Selection algorithm, a novel approach designed to enhance cancer classification accuracy through robust gene selection methods. Methods: The proposed method integrates Mutual Information (MI) and Particle Swarm Optimization (PSO) for gene selection. In the first stage, MI acts as an initial filter, identifying genes rich in cancer-related information. In the second stage, PSO refines this selection to pinpoint an optimal subset of genes for accurate classification. Results: The experimental findings reveal that the MI-PSA method achieves a best classification accuracy of 99.01% with a selected subset of 19 genes, substantially outperforming the MI and SVM methods, which attain best accuracies of 93.44% and 91.26%, respectively, for the same gene count. Furthermore, MI-PSA demonstrates superior performance in terms of average and worst-case accuracy, underscoring its robustness and reliability. Conclusions: The MI-PSA algorithm presents a powerful approach for identifying critical genes essential for precise cancer classification, advancing both our understanding and management of this complex disease.
Published: 2024
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40. Radiology and the Media

Author: Tejani, Ali and Awan, Omer A.
Published: 2024
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41. Predict the Maximum Dry Density of Soil Based on Individual and Hybrid Methods of Machine Learning

Author: Ghanshyam Tejani, Behnam Sadaghat, and Sumit Kumar
Subjects: maximum dry density, naive bayes, artificial rabbits optimization, gradient-based optimizer, Computer software, QA76.75-76.765, Mining engineering. Metallurgy, TN1-997
Abstract: This article introduces a novel technique to accurately forecast soil stabilization blends' maximum dry density (MDD). The Naive Bayes (NB) algorithm is employed to develop detailed and accurate models that use various natural soil characteristics, such as particle size distribution, plasticity, linear shrinkage, and stabilizing additives' type and amount, to relate to the MDD of stabilized soil. To ensure the model's accuracy, the study integrates two meta-heuristic algorithms: Artificial Rabbits Optimization (ARO) and Gradient-based Optimizer (GBO). The models undergo validation using MDD samples of various soil types acquired from previously published stabilization test results. The results reveal three distinct models: NBAR, NBGB, and an individual NB model. Among these, the NBAR model stands out with exceptional performance, boasting a high R2 value of 0.9903 and a remarkably low RMSE value of 34.563. These results demonstrate the precision and reliability of the NBAR model and signify its effectiveness in predicting soil stabilization outcomes. Overall, this approach offers a promising way to accurately predict the MDD of soil stabilization mixtures in various engineering applications. Integrating meta-heuristic algorithms into the analysis increases the accuracy of the models and provides more reliable predictions, which has significant implications for the construction industry, where soil stabilization is critical for building robust and long-lasting infrastructure.
Published: 2023
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42. Striving for inclusivity: the crucial function of neurorehabilitation in the management of KIF1A syndrome

Author: Seema Saini, Neelam Hitesh Tejani, and Amrutkuvar Rayjade
Subjects: KIF1A gene, KIF1A, neurorehabilitation, pediatric rehabilitation, physical therapy (PT), Neurology. Diseases of the nervous system, RC346-429
Published: 2024
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43. Deep Bayesian Bandits: Exploring in Online Personalized Recommendations

Author: Guo, Dalin, Ktena, Sofia Ira, Huszar, Ferenc, Myana, Pranay Kumar, Shi, Wenzhe, and Tejani, Alykhan
Subjects: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning
Abstract: Recommender systems trained in a continuous learning fashion are plagued by the feedback loop problem, also known as algorithmic bias. This causes a newly trained model to act greedily and favor items that have already been engaged by users. This behavior is particularly harmful in personalised ads recommendations, as it can also cause new campaigns to remain unexplored. Exploration aims to address this limitation by providing new information about the environment, which encompasses user preference, and can lead to higher long-term reward. In this work, we formulate a display advertising recommender as a contextual bandit and implement exploration techniques that require sampling from the posterior distribution of click-through-rates in a computationally tractable manner. Traditional large-scale deep learning models do not provide uncertainty estimates by default. We approximate these uncertainty measurements of the predictions by employing a bootstrapped model with multiple heads and dropout units. We benchmark a number of different models in an offline simulation environment using a publicly available dataset of user-ads engagements. We test our proposed deep Bayesian bandits algorithm in the offline simulation and online AB setting with large-scale production traffic, where we demonstrate a positive gain of our exploration model.
Published: 2020

44. Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems

Author: Zhang, Caojin, Liu, Yicun, Xie, Yuanpu, Ktena, Sofia Ira, Tejani, Alykhan, Gupta, Akshay, Myana, Pranay Kumar, Dilipkumar, Deepak, Paul, Suvadip, Ihara, Ikuhiro, Upadhyaya, Prasang, Huszar, Ferenc, and Shi, Wenzhe
Subjects: Computer Science - Social and Information Networks, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract: Deep Neural Networks (DNNs) with sparse input features have been widely used in recommender systems in industry. These models have large memory requirements and need a huge amount of training data. The large model size usually entails a cost, in the range of millions of dollars, for storage and communication with the inference services. In this paper, we propose a hybrid hashing method to combine frequency hashing and double hashing techniques for model size reduction, without compromising performance. We evaluate the proposed models on two product surfaces. In both cases, experiment results demonstrated that we can reduce the model size by around 90 % while keeping the performance on par with the original baselines., Comment: Paper is accepted to RecSys 2020
Published: 2020

45. Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline

Author: Belli, Luca, Ktena, Sofia Ira, Tejani, Alykhan, Lung-Yut-Fong, Alexandre, Portman, Frank, Zhu, Xiao, Xie, Yuanpu, Gupta, Akshay, Bronstein, Michael, Delić, Amra, Sottocornola, Gabriele, Anelli, Walter, Andrade, Nazareno, Smith, Jessie, and Shi, Wenzhe
Subjects: Computer Science - Social and Information Networks, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract: Recommender systems constitute the core engine of most social network platforms nowadays, aiming to maximize user satisfaction along with other key business objectives. Twitter is no exception. Despite the fact that Twitter data has been extensively used to understand socioeconomic and political phenomena and user behaviour, the implicit feedback provided by users on Tweets through their engagements on the Home Timeline has only been explored to a limited extent. At the same time, there is a lack of large-scale public social network datasets that would enable the scientific community to both benchmark and build more powerful and comprehensive models that tailor content to user interests. By releasing an original dataset of 160 million Tweets along with engagement information, Twitter aims to address exactly that. During this release, special attention is drawn on maintaining compliance with existing privacy laws. Apart from user privacy, this paper touches on the key challenges faced by researchers and professionals striving to predict user engagements. It further describes the key aspects of the RecSys 2020 Challenge that was organized by ACM RecSys in partnership with Twitter using this dataset., Comment: 16 pages, 2 tables
Published: 2020

46. Multi-objective Thermal Exchange Optimization for Truss Structure

Author: Mashru, Nikunj, Patel, Pinank, Tejani, Ghanshyam G., Kaneria, Anchit, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Venkata Rao, Ravipudi, editor, and Taler, Jan, editor
Published: 2023
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47. To BERT or not to BERT: advancing non-invasive prediction of tumor biomarkers using transformer-based natural language processing (NLP)

Author: Tejani, Ali S.
Published: 2023
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48. Evaluation of Climate-Aware Metrics Tools for Radiology Informatics and Artificial Intelligence: Toward a Potential Radiology Ecolabel

Author: Doo, Florence X., Parekh, Vishwa S., Kanhere, Adway, Savani, Dharmam, Tejani, Ali S., Sapkota, Amir, and Yi, Paul H.
Published: 2024
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49. Diffusion-weighted imaging of the orbit

Author: Tejani, A.S., Berson, E., Phillip, J., Feltrin, F.S., Bazan, C., Raj, K.M., Agarwal, A.K., Maldjian, J.A., Lee, W.-C., and Yu, F.F.
Published: 2024
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50. Long-Acting Reversible Contraception Knowledge Among Female Adolescents Presenting to a Pediatric Emergency Department

Author: Bowling, Morgan S., Yao, Meizhen, Mazzaferro, Natale, Greenberg, Patricia, George, Ellen, Sivitz, Adam, and Tejani, Cena
Published: 2024
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