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1. Evaluation the level of vitamin D and its relationship with clinical symptoms in patients with COVID-19 referred to the medical center in Bam city

Author

Mortazavi, Seyed Mojtaba, Khoshnood, Saeed, Faraji, Reza, Baravati, Rezvan Bagheri, Khalili, Hakime, Radfar, Ali, Jalali, Elham, Nezam Nia, Maria, Akrami, Sousan, and Shirani, Maryam

Subjects
vitamin d, covid-19, outcome, pandemic, Medicine, Public aspects of medicine, RA1-1270, Microbiology, QR1-502
Abstract

Background: Vitamin D is a steroid hormone that protects against viral infections by influencing innate and adaptive immune responses. The effectiveness of vitamin D3 supplementation in COVID-19 is unknown. The study’s goal was to elucidate the relationship between blood vitamin D levels and COVID-19 clinical outcomes by examining the effect of a single high dose of vitamin D3 on the length of hospital stay in patients. Methods: The descriptive, retrospective study was performed from March to May 2021 at a referral center for patients with COVID-19, in Bam, Iran. A checklist consisting of demographic variables was used to gather data, and laboratory assessments of serum 25(OH) D were evaluated and documented. The connection between serum vitamin D and patient clinical outcomes was investigated after patients were given a single oral dose of 200,000 IU of vitamin D3. Results: 71 COVID-19 patients were treated. Radiological results did not change substantially amongst individuals with various levels of 25(OH)D. After a single dosage of vitamin D3, mean blood levels of xyvitamin D increased considerably and the need for intubation and SpO decreased, and as did the respiratory rate in patients requiring hospitalization due to COVID-19. Conclusion: A single administration of 200,000 IU of vitamin D3 significantly reduced the severity of COVID-19.

Published
2024
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3. SEPSIGN: early identification of sepsis signs in emergency department

Author

Lafon, Thomas, Cazalis, Marie-Angélique, Hart, Kimberly W., Hennessy, Cassandra, Tazarourte, Karim, Self, Wesley H., Akhavan, Arvin Radfar, Laribi, Saïd, Viglino, Damien, Douplat, Marion, Ginde, Adit A., Tolou, Sophie, Mahler, Simon A., Le Borgne, Pierrick, Claessens, Yann-Erick, Yordanov, Youri, Le Bastard, Quentin, Pancher, Agathe, Ducharme, Jim, Lindsell, Christopher J., and Shapiro, Nathan I.

Published
2024
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4. Advanced Imprinted Materials for In Vitro and In Vivo Application

Author

Radfar, Rahil, Gharibzahedi, Seyed Mohammad Taghi, Altintas, Zeynep, Kalia, Susheel, Series Editor, Haraguchi, Kazutoshi, Editorial Board Member, Celli, Annamaria, Editorial Board Member, Ruiz-Hitzky, Eduardo, Editorial Board Member, Bismarck, Alexander, Editorial Board Member, Thomas, Sabu, Editorial Board Member, Kaith, Balbir Singh, Editorial Board Member, Averous, Luc, Editorial Board Member, Gupta, Bhuvanesh, Editorial Board Member, Njuguna, James, Editorial Board Member, Boufi, Sami, Editorial Board Member, Sabaa, Magdy W., Editorial Board Member, Kumar Mishra, Ajay, Editorial Board Member, Pielichowski, Krzysztof, Editorial Board Member, Habibi, Youssef, Editorial Board Member, Focarete, Maria Letizia, Editorial Board Member, Jawaid, Mohammad, Editorial Board Member, and Altintas, Zeynep, editor

Published
2025
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7. Development of a Selective Wet-Chemical Etchant for 3D Structuring of Silicon via Nonlinear Laser Lithography

Author

Borra, Mona Zolfaghari, Radfar, Behrad, Nasser, Hisham, Çolakoğlu, Tahir, Tokel, Onur, Turnalı, Ahmet, Demirtaş, Merve, Ustunel, Hande, Toffoli, Daniele, İlday, F. Ömer, Turan, Raşit, Pavlov, Ihor, and Bek, Alpan

Subjects
Physics - Applied Physics, Condensed Matter - Materials Science, Physics - Optics
Abstract

Recently-demonstrated high-quality three-dimensional (3D) subsurface laser processing inside crystalline silicon (c-Si) wafers opens a door to a wide range of novel applications in multidisciplinary research areas. Using this technique, a novel maskless micro-pillars with precise control on the surface reflection and coverage are successfully fabricated by etching the laser processed region of c-Si wafer. To achieve this, a particular selective wet chemical etching is developed to follow subsurface laser processing of c-Si to reveal the desired 3D structures with smooth surfaces. Here, we report the development of a novel chromium-free chemical etching recipe based on copper nitrate, which yields substantially smooth surfaces at high etch rate and selectivity on the both laser-processed Si surface and subsurface, i.e., without significant etching of the unmodified Si. Our results show that the etch rate and surface morphology are interrelated and strongly influenced by the composition of the adopted etching solution. After an extensive compositional study performed at room temperature, we identify an etchant with a selectivity of over 1600 times for laser-modified Si with respect to unmodified Si. We also support our findings using density functional theory calculations of HF and Cu adsorption energies, indicating significant diversity on the c-Si and laser-modified surfaces.

Published
2023

16. Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers

Author

Strimel, Grant P., Xie, Yi, King, Brian, Radfar, Martin, Rastrow, Ariya, and Mouchtaris, Athanasios

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Streaming speech recognition architectures are employed for low-latency, real-time applications. Such architectures are often characterized by their causality. Causal architectures emit tokens at each frame, relying only on current and past signal, while non-causal models are exposed to a window of future frames at each step to increase predictive accuracy. This dichotomy amounts to a trade-off for real-time Automatic Speech Recognition (ASR) system design: profit from the low-latency benefit of strictly-causal architectures while accepting predictive performance limitations, or realize the modeling benefits of future-context models accompanied by their higher latency penalty. In this work, we relax the constraints of this choice and present the Adaptive Non-Causal Attention Transducer (ANCAT). Our architecture is non-causal in the traditional sense, but executes in a low-latency, streaming manner by dynamically choosing when to rely on future context and to what degree within the audio stream. The resulting mechanism, when coupled with our novel regularization algorithms, delivers comparable accuracy to non-causal configurations while improving significantly upon latency, closing the gap with their causal counterparts. We showcase our design experimentally by reporting comparative ASR task results with measures of accuracy and latency on both publicly accessible and production-scale, voice-assistant datasets., Comment: Accepted to ICML 2023

Published
2023

17. End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders

Author

Wang, Jixuan, Radfar, Martin, Wei, Kai, and Chung, Clement

Subjects
Computer Science - Computation and Language, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

It is challenging to extract semantic meanings directly from audio signals in spoken language understanding (SLU), due to the lack of textual information. Popular end-to-end (E2E) SLU models utilize sequence-to-sequence automatic speech recognition (ASR) models to extract textual embeddings as input to infer semantics, which, however, require computationally expensive auto-regressive decoding. In this work, we leverage self-supervised acoustic encoders fine-tuned with Connectionist Temporal Classification (CTC) to extract textual embeddings and use joint CTC and SLU losses for utterance-level SLU tasks. Experiments show that our model achieves 4% absolute improvement over the the state-of-the-art (SOTA) dialogue act classification model on the DSTC2 dataset and 1.3% absolute improvement over the SOTA SLU model on the SLURP dataset., Comment: ICASSP 2023

Published
2023

18. Leveraging Redundancy in Multiple Audio Signals for Far-Field Speech Recognition

Author

Chang, Feng-Ju, Alexandridis, Anastasios, Swaminathan, Rupak Vignesh, Radfar, Martin, Mallidi, Harish, Omologo, Maurizio, Mouchtaris, Athanasios, King, Brian, and Maas, Roland

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

To achieve robust far-field automatic speech recognition (ASR), existing techniques typically employ an acoustic front end (AFE) cascaded with a neural transducer (NT) ASR model. The AFE output, however, could be unreliable, as the beamforming output in AFE is steered to a wrong direction. A promising way to address this issue is to exploit the microphone signals before the beamforming stage and after the acoustic echo cancellation (post-AEC) in AFE. We argue that both, post-AEC and AFE outputs, are complementary and it is possible to leverage the redundancy between these signals to compensate for potential AFE processing errors. We present two fusion networks to explore this redundancy and aggregate these multi-channel (MC) signals: (1) Frequency-LSTM based, and (2) Convolutional Neural Network based fusion networks. We augment the MC fusion networks to a conformer transducer model and train it in an end-to-end fashion. Our experimental results on commercial virtual assistant tasks demonstrate that using the AFE output and two post-AEC signals with fusion networks offers up to 25.9% word error rate (WER) relative improvement over the model using the AFE output only, at the cost of <= 2% parameter increase.

Published
2023

22. Sub-8-bit quantization for on-device speech recognition: a regularization-free approach

Author

Zhen, Kai, Radfar, Martin, Nguyen, Hieu Duy, Strimel, Grant P., Susanj, Nathan, and Mouchtaris, Athanasios

Subjects
Computer Science - Sound, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

For on-device automatic speech recognition (ASR), quantization aware training (QAT) is ubiquitous to achieve the trade-off between model predictive performance and efficiency. Among existing QAT methods, one major drawback is that the quantization centroids have to be predetermined and fixed. To overcome this limitation, we introduce a regularization-free, "soft-to-hard" compression mechanism with self-adjustable centroids in a mu-Law constrained space, resulting in a simpler yet more versatile quantization scheme, called General Quantizer (GQ). We apply GQ to ASR tasks using Recurrent Neural Network Transducer (RNN-T) and Conformer architectures on both LibriSpeech and de-identified far-field datasets. Without accuracy degradation, GQ can compress both RNN-T and Conformer into sub-8-bit, and for some RNN-T layers, to 1-bit for fast and accurate inference. We observe a 30.73% memory footprint saving and 31.75% user-perceived latency reduction compared to 8-bit QAT via physical device benchmarking., Comment: Accepted for publication at IEEE SLT'22

Published
2022

23. ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition

Author

Radfar, Martin, Barnwal, Rohit, Swaminathan, Rupak Vignesh, Chang, Feng-Ju, Strimel, Grant P., Susanj, Nathan, and Mouchtaris, Athanasios

Subjects
Computer Science - Sound, Computer Science - Computation and Language, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

The recurrent neural network transducer (RNN-T) is a prominent streaming end-to-end (E2E) ASR technology. In RNN-T, the acoustic encoder commonly consists of stacks of LSTMs. Very recently, as an alternative to LSTM layers, the Conformer architecture was introduced where the encoder of RNN-T is replaced with a modified Transformer encoder composed of convolutional layers at the frontend and between attention layers. In this paper, we introduce a new streaming ASR model, Convolutional Augmented Recurrent Neural Network Transducers (ConvRNN-T) in which we augment the LSTM-based RNN-T with a novel convolutional frontend consisting of local and global context CNN encoders. ConvRNN-T takes advantage of causal 1-D convolutional layers, squeeze-and-excitation, dilation, and residual blocks to provide both global and local audio context representation to LSTM layers. We show ConvRNN-T outperforms RNN-T, Conformer, and ContextNet on Librispeech and in-house data. In addition, ConvRNN-T offers less computational complexity compared to Conformer. ConvRNN-T's superior accuracy along with its low footprint make it a promising candidate for on-device streaming ASR technologies., Comment: This paper was presented in Interspeech 2022

Published
2022

24. Compute Cost Amortized Transformer for Streaming ASR

Author

Xie, Yi, Macoskey, Jonathan, Radfar, Martin, Chang, Feng-Ju, King, Brian, Rastrow, Ariya, Mouchtaris, Athanasios, and Strimel, Grant P.

Subjects
Computer Science - Computation and Language, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

We present a streaming, Transformer-based end-to-end automatic speech recognition (ASR) architecture which achieves efficient neural inference through compute cost amortization. Our architecture creates sparse computation pathways dynamically at inference time, resulting in selective use of compute resources throughout decoding, enabling significant reductions in compute with minimal impact on accuracy. The fully differentiable architecture is trained end-to-end with an accompanying lightweight arbitrator mechanism operating at the frame-level to make dynamic decisions on each input while a tunable loss function is used to regularize the overall level of compute against predictive performance. We report empirical results from experiments using the compute amortized Transformer-Transducer (T-T) model conducted on LibriSpeech data. Our best model can achieve a 60% compute cost reduction with only a 3% relative word error rate (WER) increase.

Published
2022

25. Substance use policy and practice in the COVID-19 pandemic: Learning from early pandemic responses through internationally comparative field data

Author

Aronowitz, Shoshana V, Carroll, Jennifer J, Hansen, Helena, Jauffret-Roustide, Marie, Parker, Caroline Mary, Suhail-Sindhu, Selena, Albizu-Garcia, Carmen, Alegria, Margarita, Arrendondo, Jaimie, Baldacchino, Alexander, Bluthenthal, Ricky, Bourgois, Philippe, Burraway, Joshua, Chen, Jia-shin, Ekhtiari, Hamed, Elkholy, Hussien, Farhoudian, Ali, Friedman, Joseph, Jordan, Ayana, Kato, Lindsey, Knight, Kelly, Martinez, Carlos, McNeil, Ryan, Murray, Hayley, Namirembe, Sarah, Radfar, Ramin, Roe, Laura, Sarang, Anya, Scherz, China, Teck, Joe Tay Wee, Textor, Lauren, and Oanh, Khuat Thi Hai

Subjects
Social Work, Human Society, Drug Abuse (NIDA only), Behavioral and Social Science, Clinical Research, Substance Misuse, Generic health relevance, Good Health and Well Being, Humans, Drug Users, Pandemics, COVID-19, Substance-Related Disorders, Public Policy, Harm Reduction, Harm reduction, drug policy, overdose, substance use, Public Health and Health Services, Public Health, Epidemiology, Public health, Policy and administration
Abstract

The COVID-19 pandemic has created an unprecedented natural experiment in drug policy, treatment delivery, and harm reduction strategies by exposing wide variation in public health infrastructures and social safety nets around the world. Using qualitative data including ethnographic methods, questionnaires, and semi-structured interviews with people who use drugs (PWUD) and Delphi-method with experts from field sites spanning 13 different countries, this paper compares national responses to substance use during the first wave of the COVID-19 pandemic. Field data was collected by the Substance Use x COVID-19 (SU x COVID) Data Collaborative, an international network of social scientists, public health scientists, and community health practitioners convened to identify and contextualise health service delivery models and social protections that influence the health and wellbeing of PWUD during COVID-19. Findings suggest that countries with stronger social welfare systems pre-COVID introduced durable interventions targeting structural drivers of health. Countries with fragmented social service infrastructures implemented temporary initiatives for PWUD led by non-governmental organisations. The paper summarises the most successful early pandemic responses seen across countries and ends by calling for greater systemic investments in social protections for PWUD, diversion away from criminal-legal systems toward health interventions, and integrated harm reduction, treatment and recovery supports for PWUD.

Published
2022

26. A neural prosody encoder for end-ro-end dialogue act classification

Author

Wei, Kai, Knox, Dillon, Radfar, Martin, Tran, Thanh, Muller, Markus, Strimel, Grant P., Susanj, Nathan, Mouchtaris, Athanasios, and Omologo, Maurizio

Subjects
Computer Science - Computation and Language, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Dialogue act classification (DAC) is a critical task for spoken language understanding in dialogue systems. Prosodic features such as energy and pitch have been shown to be useful for DAC. Despite their importance, little research has explored neural approaches to integrate prosodic features into end-to-end (E2E) DAC models which infer dialogue acts directly from audio signals. In this work, we propose an E2E neural architecture that takes into account the need for characterizing prosodic phenomena co-occurring at different levels inside an utterance. A novel part of this architecture is a learnable gating mechanism that assesses the importance of prosodic features and selectively retains core information necessary for E2E DAC. Our proposed model improves DAC accuracy by 1.07% absolute across three publicly available benchmark datasets.

Published
2022

27. Multi-task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding

Author

Fu, Xuandi, Chang, Feng-Ju, Radfar, Martin, Wei, Kai, Liu, Jing, Strimel, Grant P., and Sathyendra, Kanthashree Mysore

Subjects
Computer Science - Computation and Language, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

End-to-end Spoken Language Understanding (E2E SLU) has attracted increasing interest due to its advantages of joint optimization and low latency when compared to traditionally cascaded pipelines. Existing E2E SLU models usually follow a two-stage configuration where an Automatic Speech Recognition (ASR) network first predicts a transcript which is then passed to a Natural Language Understanding (NLU) module through an interface to infer semantic labels, such as intent and slot tags. This design, however, does not consider the NLU posterior while making transcript predictions, nor correct the NLU prediction error immediately by considering the previously predicted word-pieces. In addition, the NLU model in the two-stage system is not streamable, as it must wait for the audio segments to complete processing, which ultimately impacts the latency of the SLU system. In this work, we propose a streamable multi-task semantic transducer model to address these considerations. Our proposed architecture predicts ASR and NLU labels auto-regressively and uses a semantic decoder to ingest both previously predicted word-pieces and slot tags while aggregating them through a fusion network. Using an industry scale SLU and a public FSC dataset, we show the proposed model outperforms the two-stage E2E SLU model for both ASR and NLU metrics., Comment: Accepted at ICASSP 2022

Published
2022

32. Genome-wide association study identifies Sjögrens risk loci with functional implications in immune and glandular cells.

Author

Khatri, Bhuwan, Tessneer, Kandice, Rasmussen, Astrid, Aghakhanian, Farhang, Reksten, Tove, Adler, Adam, Alevizos, Ilias, Anaya, Juan-Manuel, Aqrawi, Lara, Baecklund, Eva, Brun, Johan, Bucher, Sara, Eloranta, Maija-Leena, Engelke, Fiona, Forsblad-dElia, Helena, Glenn, Stuart, Hammenfors, Daniel, Imgenberg-Kreuz, Juliana, Jensen, Janicke, Johnsen, Svein, Jonsson, Malin, Kvarnström, Marika, Kelly, Jennifer, Li, He, Mandl, Thomas, Martín, Javier, Nocturne, Gaétane, Norheim, Katrine, Palm, Øyvind, Skarstein, Kathrine, Stolarczyk, Anna, Taylor, Kimberly, Teruel, Maria, Theander, Elke, Venuturupalli, Swamy, Wallace, Daniel, Grundahl, Kiely, Hefner, Kimberly, Radfar, Lida, Lewis, David, Stone, Donald, Kaufman, C, Brennan, Michael, Guthridge, Joel, James, Judith, Scofield, R, Gaffney, Patrick, Criswell, Lindsey, Jonsson, Roland, Eriksson, Per, Bowman, Simon, Omdal, Roald, Rönnblom, Lars, Warner, Blake, Rischmueller, Maureen, Witte, Torsten, Farris, A, Mariette, Xavier, Alarcon-Riquelme, Marta, Shiboski, Caroline, Wahren-Herlenius, Marie, Ng, Wan-Fai, Sivils, Kathy, Adrianto, Indra, Nordmark, Gunnel, and Lessard, Christopher

Subjects
Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Sjogrens Syndrome
Abstract

Sjögrens disease is a complex autoimmune disease with twelve established susceptibility loci. This genome-wide association study (GWAS) identifies ten novel genome-wide significant (GWS) regions in Sjögrens cases of European ancestry: CD247, NAB1, PTTG1-MIR146A, PRDM1-ATG5, TNFAIP3, XKR6, MAPT-CRHR1, RPTOR-CHMP6-BAIAP6, TYK2, SYNGR1. Polygenic risk scores yield predictability (AUROC = 0.71) and relative risk of 12.08. Interrogation of bioinformatics databases refine the associations, define local regulatory networks of GWS SNPs from the 95% credible set, and expand the implicated gene list to >40. Many GWS SNPs are eQTLs for genes within topologically associated domains in immune cells and/or eQTLs in the main target tissue, salivary glands.

Published
2022

34. Context-Aware Transformer Transducer for Speech Recognition

Author

Chang, Feng-Ju, Liu, Jing, Radfar, Martin, Mouchtaris, Athanasios, Omologo, Maurizio, Rastrow, Ariya, and Kunzmann, Siegfried

Subjects
Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

End-to-end (E2E) automatic speech recognition (ASR) systems often have difficulty recognizing uncommon words, that appear infrequently in the training data. One promising method, to improve the recognition accuracy on such rare words, is to latch onto personalized/contextual information at inference. In this work, we present a novel context-aware transformer transducer (CATT) network that improves the state-of-the-art transformer-based ASR system by taking advantage of such contextual signals. Specifically, we propose a multi-head attention-based context-biasing network, which is jointly trained with the rest of the ASR sub-networks. We explore different techniques to encode contextual data and to create the final attention context vectors. We also leverage both BLSTM and pretrained BERT based models to encode contextual data and guide the network training. Using an in-house far-field dataset, we show that CATT, using a BERT based context encoder, improves the word error rate of the baseline transformer transducer and outperforms an existing deep contextual model by 24.2% and 19.4% respectively., Comment: Accepted to ASRU 2021

Published
2021

35. Speech Emotion Recognition Using Quaternion Convolutional Neural Networks

Author

Muppidi, Aneesh and Radfar, Martin

Subjects
Computer Science - Sound, Computer Science - Computation and Language, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Although speech recognition has become a widespread technology, inferring emotion from speech signals still remains a challenge. To address this problem, this paper proposes a quaternion convolutional neural network (QCNN) based speech emotion recognition (SER) model in which Mel-spectrogram features of speech signals are encoded in an RGB quaternion domain. We show that our QCNN based SER model outperforms other real-valued methods in the Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS, 8-classes) dataset, achieving, to the best of our knowledge, state-of-the-art results. The QCNN also achieves comparable results with the state-of-the-art methods in the Interactive Emotional Dyadic Motion Capture (IEMOCAP 4-classes) and Berlin EMO-DB (7-classes) datasets. Specifically, the model achieves an accuracy of 77.87\%, 70.46\%, and 88.78\% for the RAVDESS, IEMOCAP, and EMO-DB datasets, respectively. In addition, our results show that the quaternion unit structure is better able to encode internal dependencies to reduce its model size significantly compared to other methods., Comment: Published in ICASSP 2021

Published
2021

36. FANS: Fusing ASR and NLU for on-device SLU

Author

Radfar, Martin, Mouchtaris, Athanasios, Kunzmann, Siegfried, and Rastrow, Ariya

Subjects
Computer Science - Computation and Language, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Spoken language understanding (SLU) systems translate voice input commands to semantics which are encoded as an intent and pairs of slot tags and values. Most current SLU systems deploy a cascade of two neural models where the first one maps the input audio to a transcript (ASR) and the second predicts the intent and slots from the transcript (NLU). In this paper, we introduce FANS, a new end-to-end SLU model that fuses an ASR audio encoder to a multi-task NLU decoder to infer the intent, slot tags, and slot values directly from a given input audio, obviating the need for transcription. FANS consists of a shared audio encoder and three decoders, two of which are seq-to-seq decoders that predict non null slot tags and slot values in parallel and in an auto-regressive manner. FANS neural encoder and decoders architectures are flexible which allows us to leverage different combinations of LSTM, self-attention, and attenders. Our experiments show compared to the state-of-the-art end-to-end SLU models, FANS reduces ICER and IRER errors relatively by 30 % and 7 %, respectively, when tested on an in-house SLU dataset and by 0.86 % and 2 % absolute when tested on a public SLU dataset., Comment: Published in Interspeech 2021

Published
2021

41. Author Correction: Genome-wide association study identifies Sjögren’s risk loci with functional implications in immune and glandular cells

Author

Khatri, Bhuwan, Tessneer, Kandice L., Rasmussen, Astrid, Aghakhanian, Farhang, Reksten, Tove Ragna, Adler, Adam, Alevizos, Ilias, Anaya, Juan-Manuel, Aqrawi, Lara A., Baecklund, Eva, Brun, Johan G., Bucher, Sara Magnusson, Eloranta, Maija-Leena, Engelke, Fiona, Forsblad-d’Elia, Helena, Glenn, Stuart B., Hammenfors, Daniel, Imgenberg-Kreuz, Juliana, Jensen, Janicke Liaaen, Johnsen, Svein Joar Auglænd, Jonsson, Malin V., Kvarnström, Marika, Kelly, Jennifer A., Li, He, Mandl, Thomas, Martín, Javier, Nocturne, Gaétane, Norheim, Katrine Brække, Palm, Øyvind, Skarstein, Kathrine, Stolarczyk, Anna M., Taylor, Kimberly E., Teruel, Maria, Theander, Elke, Venuturupalli, Swamy, Wallace, Daniel J., Grundahl, Kiely M., Hefner, Kimberly S., Radfar, Lida, Lewis, David M., Stone, Donald U., Kaufman, C. Erick, Brennan, Michael T., Guthridge, Joel M., James, Judith A., Scofield, R. Hal, Gaffney, Patrick M., Criswell, Lindsey A., Jonsson, Roland, Eriksson, Per, Bowman, Simon J., Omdal, Roald, Rönnblom, Lars, Warner, Blake, Rischmueller, Maureen, Witte, Torsten, Farris, A. Darise, Mariette, Xavier, Alarcon-Riquelme, Marta E., Shiboski, Caroline H., Wahren-Herlenius, Marie, Ng, Wan-Fai, Sivils, Kathy L., Adrianto, Indra, Nordmark, Gunnel, and Lessard, Christopher J.

Published
2023
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42. Multi-Channel Transformer Transducer for Speech Recognition

Author

Chang, Feng-Ju, Radfar, Martin, Mouchtaris, Athanasios, and Omologo, Maurizio

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Machine Learning, Computer Science - Sound
Abstract

Multi-channel inputs offer several advantages over single-channel, to improve the robustness of on-device speech recognition systems. Recent work on multi-channel transformer, has proposed a way to incorporate such inputs into end-to-end ASR for improved accuracy. However, this approach is characterized by a high computational complexity, which prevents it from being deployed in on-device systems. In this paper, we present a novel speech recognition model, Multi-Channel Transformer Transducer (MCTT), which features end-to-end multi-channel training, low computation cost, and low latency so that it is suitable for streaming decoding in on-device speech recognition. In a far-field in-house dataset, our MCTT outperforms stagewise multi-channel models with transformer-transducer up to 6.01% relative WER improvement (WERR). In addition, MCTT outperforms the multi-channel transformer up to 11.62% WERR, and is 15.8 times faster in terms of inference speed. We further show that we can improve the computational cost of MCTT by constraining the future and previous context in attention computations.

Published
2021

43. The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input

Author

He, Bradley and Radfar, Martin

Subjects
Computer Science - Sound, Computer Science - Computation and Language, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

In order to evaluate the performance of the attention based neural ASR under noisy conditions, the current trend is to present hours of various noisy speech data to the model and measure the overall word/phoneme error rate (W/PER). In general, it is unclear how these models perform when exposed to a cocktail party setup in which two or more speakers are active. In this paper, we present the mixtures of speech signals to a popular attention-based neural ASR, known as Listen, Attend, and Spell (LAS), at different target-to-interference ratio (TIR) and measure the phoneme error rate. In particular, we investigate in details when two phonemes are mixed what will be the predicted phoneme; in this fashion we build a model in which the most probable predictions for a phoneme are given. We found a 65% relative increase in PER when LAS was presented with mixed speech signals at TIR = 0 dB and the performance approaches the unmixed scenario at TIR = 30 dB. Our results show the model, when presented with mixed phonemes signals, tend to predict those that have higher accuracies during evaluation of original phoneme signals., Comment: 5 pages, 3 figures

Published
2021

48. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author

Brauer, Michael, Roth, Gregory A, Aravkin, Aleksandr Y, Zheng, Peng, Abate, Kalkidan Hassen, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abd ElHafeez, Samar, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abedi, Aidin, Abedi, Armita, Abegaz, Tadesse M, Abeldaño Zuñiga, Roberto Ariel, Abiodun, Olumide, Abiso, Temesgen Lera, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abukhadijah, Hana Jihad Jihad, Aburuz, Salahdein, Abu-Zaid, Ahmed, Adane, Mesafint Molla, Addo, Isaac Yeboah, Addolorato, Giovanni, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Aden, Bashir, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adha, Rishan, Adibi, Amin, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afolabi, Aanuoluwapo Adeyimika, Afolabi, Rotimi Felix, Afshin, Ashkan, Afyouni, Shadi, Afzal, Muhammad Sohail, Afzal, Saira, Agampodi, Suneth Buddhika, Agbozo, Faith, Aghamiri, Shahin, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Noah, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmed, Ali, Ahmed, Anisuddin, Ahmed, Ayman, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Safoora, Ahmed, Syed Anees, Ajami, Marjan, Akalu, Gizachew Taddesse, Akara, Essona Matatom, Akbarialiabad, Hossein, Akhlaghi, Shiva, Akinosoglou, Karolina, Akinyemiju, Tomi, Akkaif, Mohammed Ahmed, Akkala, Sreelatha, Akombi-Inyang, Blessing, Al Awaidy, Salah, Al Hasan, Syed Mahfuz, Alahdab, Fares, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Alam, Nazmul, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, AlBataineh, Mohammad T, Aldhaleei, Wafa A, Aldridge, Robert W, Alemayohu, Mulubirhan Assefa, Alemu, Yihun Mulugeta, Al-Fatly, Bassam, Al-Gheethi, Adel Ali Saeed, Al-Habbal, Khairat, Alhabib, Khalid F, Alhassan, Robert Kaba, Ali, Abid, Ali, Amjad, Ali, Beriwan Abdulqadir, Ali, Iman, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Waad, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Alla, François, Al-Marwani, Sabah, Al-Mekhlafi, Hesham M, Almustanyir, Sami, Alomari, Mahmoud A, Alonso, Jordi, Alqahtani, Jaber S, Alqutaibi, Ahmed Yaseen, Al-Raddadi, Rajaa M, Alrawashdeh, Ahmad, Al-Rifai, Rami Hani, Alrousan, Sahel Majed, Al-Sabah, Salman Khalifah, Alshahrani, Najim Z, Altaany, Zaid, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Alwafi, Hassan, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Al-Zyoud, Walid, Amaechi, Uchenna Anderson, Aman Mohammadi, Masous, Amani, Reza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Ammirati, Enrico, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Anderson, Jason A, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Anenberg, Susan C, Angappan, Dhanalakshmi, Angus, Colin, Anil, Abhishek, Anil, Sneha, Anjum, Afifa, Anoushiravani, Amir, Antonazzo, Ippazio Cosimo, Antony, Catherine M, Antriyandarti, Ernoiz, Anuoluwa, Boluwatife Stephen, Anvari, Davood, Anvari, Saeid, Anwar, Saleha, Anwar, Sumadi Lukman, Anwer, Razique, Anyabolo, Ekenedilichukwu Emmanuel, Anyasodor, Anayochukwu Edward, Apostol, Geminn Louis Carace, Arabloo, Jalal, Arabzadeh Bahri, Razman, Arafat, Mosab, Areda, Demelash, Aregawi, Brhane Berhe, Aremu, Abdulfatai, Armocida, Benedetta, Arndt, Michael Benjamin, Ärnlöv, Johan, Arooj, Mahwish, Artamonov, Anton A, Artanti, Kurnia Dwi, Aruleba, Idowu Thomas, Arumugam, Ashokan, Asbeutah, Akram M, Asgary, Saeed, Asgedom, Akeza Awealom, Ashbaugh, Charlie, Ashemo, Mubarek Yesse, Ashraf, Tahira, Askarinejad, Amir, Assmus, Michael, Astell-Burt, Thomas, Athar, Mohammad, Athari, Seyyed Shamsadin, Atorkey, Prince, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avila-Burgos, Leticia, Awoke, Andargie Abate, Ayala Quintanilla, Beatriz Paulina, Ayatollahi, Haleh, Ayestas Portugal, Carlos, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azevedo, Rui M S, Azhar, Gulrez Shah, Azizi, Hosein, Azzam, Ahmed Y, Backhaus, Insa Linnea, Badar, Muhammad, Badiye, Ashish D, Bagga, Arvind, Baghdadi, Soroush, Bagheri, Nasser, Bagherieh, Sara, Bahrami Taghanaki, Pegah, Bai, Ruhai, Baig, Atif Amin, Baker, Jennifer L, Bakkannavar, Shankar M, Balasubramanian, Madhan, Baltatu, Ovidiu Constantin, Bam, Kiran, Bandyopadhyay, Soham, Banik, Biswajit, Banik, Palash Chandra, Banke-Thomas, Aduragbemi, Bansal, Hansi, Barchitta, Martina, Bardhan, Mainak, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrero, Lope H, Barrow, Amadou, Barteit, Sandra, Basharat, Zarrin, Basiru, Afisu, Basso, João Diogo, Bastan, Mohammad-Mahdi, Basu, Sanjay, Batchu, Sai, Batra, Kavita, Batra, Ravi, Baune, Bernhard T, Bayati, Mohsen, Bayileyegn, Nebiyou Simegnew, Beaney, Thomas, Behnoush, Amir Hossein, Beiranvand, Maryam, Béjot, Yannick, Bekele, Alehegn, Belgaumi, Uzma Iqbal, Bell, Arielle Wilder, Bell, Michelle L, Bello, Muhammad Bashir, Bello, Olorunjuwon Omolaja, Belo, Luis, Beloukas, Apostolos, Bendak, Salaheddine, Bennett, Derrick A, Bennitt, Fiona B, Bensenor, Isabela M, Benzian, Habib, Beran, Azizullah, Berezvai, Zombor, Bernabe, Eduardo, Bernstein, Robert S, Bettencourt, Paulo J G, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Dinesh, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhatti, Rajbir, Bhuiyan, Mohiuddin Ahmed, Bhutta, Zulfiqar A, Bikbov, Boris, Bishai, Jessica Devin, Bisignano, Catherine, Biswas, Atanu, Biswas, Bijit, Biswas, Raaj Kishore, Bjørge, Tone, Boachie, Micheal Kofi, Boakye, Hosea, Bockarie, Moses John, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Bogale, Eyob Ketema, Bolla, Srinivasa Rao, Boloor, Archith, Bonakdar Hashemi, Milad, Boppana, Sri Harsha, Bora Basara, Berrak, Borhany, Hamed, Botero Carvajal, Alejandro, Bouaoud, Souad, Boufous, Soufiane, Bourne, Rupert, Boxe, Christopher, Braithwaite, Dejana, Brant, Luisa C, Brar, Amanpreet, Breitborde, Nicholas J K, Breitner, Susanne, Brenner, Hermann, Briko, Andrey Nikolaevich, Britton, Gabrielle, Brown, Colin Stewart, Browne, Annie J, Brunoni, Andre R, Bryazka, Dana, Bulamu, Norma B, Bulto, Lemma N, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Busse, Reinhard, Bustanji, Yasser, Butt, Nadeem Shafique, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cagney, Jack, Cahuana-Hurtado, Lucero, Calina, Daniela, Cámera, Luis Alberto, Campos, Luciana Aparecida, Campos-Nonato, Ismael R, Cao, Chao, Cao, Fan, Cao, Yubin, Capodici, Angelo, Cárdenas, Rosario, Carr, Sinclair, Carreras, Giulia, Carrero, Juan J, Carugno, Andrea, Carvalho, Felix, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catalá-López, Ferrán, Catapano, Alberico L, Cattaruzza, Maria Sofia, Caye, Arthur, Cederroth, Christopher R, Cegolon, Luca, Cenderadewi, Muthia, Cercy, Kelly M, Cerin, Ester, Chadwick, Joshua, Chakraborty, Chiranjib, Chakraborty, Promit Ananyo, Chakraborty, Sandip, Chan, Jeffrey Shi Kai, Chan, Raymond N C, Chandan, Joht Singh, Chandika, Rama Mohan, Chaturvedi, Pankaj, Chen, An-Tian, Chen, Catherine S, Chen, Haowei, Chen, Meng Xuan, Chen, Mingling, Chen, Simiao, Cheng, Ching-Yu, Cheng, Esther T W, Cherbuin, Nicolas, Chi, Gerald, Chichagi, Fatemeh, Chimed-Ochir, Odgerel, Chimoriya, Ritesh, Ching, Patrick R, Chirinos-Caceres, Jesus Lorenzo, Chitheer, Abdulaal, Cho, William C S, Chong, Bryan, Chopra, Hitesh, Chowdhury, Rajiv, Christopher, Devasahayam J, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Eric, Chung, Sheng-Chia, Chutiyami, Muhammad, Cioffi, Iolanda, Cogen, Rebecca M, Cohen, Aaron J, Columbus, Alyssa, Conde, Joao, Corlateanu, Alexandru, Cortese, Samuele, Cortesi, Paolo Angelo, Costa, Vera Marisa, Costanzo, Simona, Criqui, Michael H, Cruz, Jessica A, Cruz-Martins, Natália, Culbreth, Garland T, da Silva, Alanna Gomes, Dadras, Omid, Dai, Xiaochen, Dai, Zhaoli, Daikwo, Patience Unekwuojo, Dalli, Lachlan L, Damiani, Giovanni, D'Amico, Emanuele, D'Anna, Lucio, Darwesh, Aso Mohammad, Das, Jai K, Das, Subasish, Dash, Nihar Ranjan, Dashti, Mohsen, Dávila-Cervantes, Claudio Alberto, Davis Weaver, Nicole, Davitoiu, Dragos Virgil, De la Hoz, Fernando Pio, de la Torre-Luque, Alejandro, De Leo, Diego, Debopadhaya, Shayom, Degenhardt, Louisa, Del Bo', Cristian, Delgado-Enciso, Ivan, Delgado-Saborit, Juana Maria, Demoze, Chalachew Kassaw, Denova-Gutiérrez, Edgar, Dervenis, Nikolaos, Dervišević, Emina, Desai, Hardik Dineshbhai, Desai, Rupak, Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman, Dhali, Arkadeep, Dhama, Kuldeep, Dhane, Amol S, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Dhingra, Sameer, Dhulipala, Vishal R, Dhungana, Raja Ram, Dias da Silva, Diana, Diaz, Daniel, Diaz, Luis Antonio, Diaz, Michael J, Dima, Adriana, Ding, Delaney D, Dinu, Monica, Djalalinia, Shirin, Do, Thanh Chi, Do, Thao Huynh Phuong, do Prado, Camila Bruneli, Dodangeh, Masoud, Dohare, Sushil, Dokova, Klara Georgieva, Dong, Wanyue, Dongarwar, Deepa, D'Oria, Mario, Dorostkar, Fariba, Dorsey, E Ray, Doshi, Rajkumar, Doshmangir, Leila, Dowou, Robert Kokou, Driscoll, Tim Robert, Dsouza, Ashel Chelsea, Dsouza, Haneil Larson, Dumith, Samuel C, Duncan, Bruce B, Duraes, Andre Rodrigues, Duraisamy, Senbagam, Dushpanova, Anar, Dzianach, Paulina Agnieszka, Dziedzic, Arkadiusz Marian, Ebrahimi, Alireza, Echieh, Chidiebere Peter, Ed-Dra, Abdelaziz, Edinur, Hisham Atan, Edvardsson, David, Edvardsson, Kristina, Efendi, Ferry, Eftekharimehrabad, Aziz, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Arab, Rabie Adel, El Sayed Zaki, Maysaa, El-Dahiyat, Faris, Elemam, Noha Mousaad, Elgar, Frank J, ElGohary, Ghada Metwally Tawfik, Elhabashy, Hala Rashad, Elhadi, Muhammed, Elmehrath, Ahmed O, Elmeligy, Omar Abdelsadek Abdou, Elshaer, Mohammed, Elsohaby, Ibrahim, Emeto, Theophilus I, Esfandiari, Negin, Eshrati, Babak, Eslami, Majid, Esmaeili, Sayed Vahid, Estep, Kara, Etaee, Farshid, Fabin, Natalia, Fagbamigbe, Adeniyi Francis, Fagbule, Omotayo Francis, Fahimi, Saman, Falzone, Luca, Fareed, Mohammad, Farinha, Carla Sofia e Sá, Faris, MoezAlIslam Ezzat Mahmoud, Faris, Pawan Sirwan, Faro, Andre, Fasina, Folorunso Oludayo, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Fazylov, Timur, Feigin, Valery L, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Feroze, Abdullah Hamid, Ferrara, Pietro, Ferrari, Alize J, Ferreira, Nuno, Fetensa, Getahun, Feyisa, Bikila Regassa, Filip, Irina, Fischer, Florian, Fitriana, Ida, Flavel, Joanne, Flohr, Carsten, Flood, David, Flor, Luisa S, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Force, Lisa M, Fortuna, Daniela, Foschi, Matteo, Franklin, Richard Charles, Freitas, Alberto, Friedman, Sara D, Fux, Blima, G, Sridevi, Gaal, Peter Andras, Gaihre, Santosh, Gajdács, Márió, Galali, Yaseen, Gallus, Silvano, Gandhi, Aravind P, Ganesan, Balasankar, Ganiyani, Mohammad Arfat, Garcia, Vanessa, Gardner, William M, Garg, Ravindra K, Gautam, Rupesh K, Gebi, Tilaye Gebru, Gebregergis, Miglas W, Gebrehiwot, Mesfin, Gebremariam, Tesfay B B, Gebremeskel, Teferi Gebru, Gerema, Urge, Getacher, Lemma, Getahun, Genanew K a, Getie, Molla, Ghadirian, Fataneh, Ghafarian, Sadegh, Ghaffari Jolfayi, Amir, Ghailan, Khalid Yaser, Ghajar, Alireza, Ghasemi, MohammadReza, Ghasempour Dabaghi, Ghazal, Ghasemzadeh, Afsaneh, Ghassemi, Fariba, Ghazy, Ramy Mohamed, Gholami, Ali, Gholamrezanezhad, Ali, Gholizadeh, Nasim, Ghorbani, Mahsa, Gil, Artyom Urievich, Gil, Gabriela Fernanda, Gilbertson, Nora M, Gill, Paramjit Singh, Gill, Tiffany K, Gindaba, Ebisa Zerihun, Girmay, Alem, Glasbey, James C, Gnedovskaya, Elena V, Göbölös, Laszlo, Godinho, Myron Anthony, Goel, Amit, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gomes, Nelson G M, Gopalani, Sameer Vali, Gorini, Giuseppe, Goudarzi, Houman, Goulart, Alessandra C, Gouravani, Mahdi, Goyal, Anmol, Graham, Simon Matthew, Grivna, Michal, Grosso, Giuseppe, Guan, Shi-Yang, Guarducci, Giovanni, Gubari, Mohammed Ibrahim Mohialdeen, Guha, Avirup, Guicciardi, Stefano, Gulati, Snigdha, Gulisashvili, David, Gunawardane, Damitha Asanga, Guo, Cui, Gupta, Anish Kumar, Gupta, Bhawna, Gupta, Mohak, Gupta, Rahul, Gupta, Rajat Das, Gupta, Rajeev, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vijai Kumar, Gupta, Vivek Kumar, Habibzadeh, Farrokh, Habibzadeh, Parham, Hadaro, Tesfahun Simon, Hadian, Zahra, Haep, Nils, Haghi-Aminjan, Hamed, Haghmorad, Dariush, Hagins, Hailey, Haile, Demewoz, Hailu, Alemayehu, Hajj Ali, Adel, Halboub, Esam S, Halimi, Aram, Hall, Brian J, Haller, Sebastian, Halwani, Rabih, Hamadeh, Randah R, Hamdy, Nadia M, Hameed, Sajid, Hamidi, Samer, Hammoud, Ahmad, Hanif, Asif, Hanifi, Nasrin, Haq, Zaim Anan, Haque, Md Rabiul, Harapan, Harapan, Hargono, Arief, Haro, Josep Maria, Hasaballah, Ahmed I, Hasan, Ikramul, Hasan, Mohammad Jahid, Hasan, S M Mahmudul, Hasani, Hamidreza, Hasanian, Mohammad, Hashmeh, Nadim, Hasnain, Md Saquib, Hassan, Amr, Hassan, Ikrama, Hassan Zadeh Tabatabaei, Mahgol Sadat, Hassani, Shokoufeh, Hassanipour, Soheil, Hassankhani, Hadi, Haubold, Johannes, Havmoeller, Rasmus J, Hay, Simon I, Hebert, Jeffrey J, Hegazi, Omar E, Hegena, Tadele Yohannes, Heidari, Golnaz, Heidari, Mohammad, Helfer, Bartosz, Hemmati, Mehdi, Henson, Claire A, Herbert, Molly E, Herteliu, Claudiu, Heuer, Austin, Hezam, Kamal, Hinneh, Thomas Kwadwo, Hiraike, Yuta, Hoan, Nguyen Quoc, Holla, Ramesh, Hon, Julia, Hoque, Mohammad Enamul, Horita, Nobuyuki, Hossain, Sahadat, Hosseini, Seyed Ehsan, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hoven, Hanno, Hsairi, Mohamed, Hsu, Johnathan M, Hu, Chengxi, Huang, Junjie, Huda, Md Nazmul, Hulland, Erin N, Hultström, Michael, Hushmandi, Kiavash, Hussain, Javid, Hussein, Nawfal R, Huynh, Chantal K, Huynh, Hong-Han, Ibitoye, Segun Emmanuel, Idowu, Oluwatope Olaniyi, Ihler, Audrey L, Ikeda, Nayu, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Inbaraj, Leeberk Raja, Irham, Lalu Muhammad, Isa, Mustafa Alhaji, Islam, Md Rabiul, Ismail, Faisal, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Iwagami, Masao, Iwu, Chidozie C D, Iwu-Jaja, Chinwe Juliana, J, Vinothini, Jaafari, Jalil, Jacob, Louis, Jacobsen, Kathryn H, Jadidi-Niaragh, Farhad, Jahankhani, Kasra, Jahanmehr, Nader, Jahrami, Haitham, Jain, Akhil, Jain, Nityanand, Jairoun, Ammar Abdulrahman, Jaiswal, Abhishek, Jakovljevic, Mihajlo, Jalilzadeh Yengejeh, Reza, Jamora, Roland Dominic G, Jatau, Abubakar Ibrahim, Javadov, Sabzali, Javaheri, Tahereh, Jayaram, Shubha, Jeganathan, Jayakumar, Jeswani, Bijay Mukesh, Jiang, Heng, Johnson, Catherine O, Jokar, Mohammad, Jomehzadeh, Nabi, Jonas, Jost B, Joo, Tamas, Joseph, Abel, Joseph, Nitin, Joshi, Vivek, Joshua, Charity Ehimwenma, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kaambwa, Billingsley, Kabir, Ali, Kabir, Zubair, Kadashetti, Vidya, Kahn, Ethan M, Kalani, Rizwan, Kaliyadan, Feroze, Kalra, Sanjay, Kamath, Rajesh, Kanagasabai, Thanigaivelan, Kanchan, Tanuj, Kandel, Himal, Kanmiki, Edmund Wedam, Kanmodi, Kehinde Kazeem, Kansal, Sushil Kumar, Kapner, Daniel John, Kapoor, Neeti, Karagiannidis, Efstratios, Karajizadeh, Mehrdad, Karakasis, Paschalis, Karanth, Shama D, Karaye, Ibraheem M, Karch, André, Karim, Asima, Karimi, Hanie, Karmakar, Shilpi, Kashoo, Faizan Zaffar, Kasraei, Hengameh, Kassahun, Woldeteklehaymanot Dagne, Kassebaum, Nicholas J, Kassel, Molly B, Katikireddi, Srinivasa Vittal, Kauppila, Joonas H, Kawakami, Norito, Kaydi, Neda, Kayode, Gbenga A, Kazemi, Foad, Keiyoro, Peter Njenga, Kemmer, Laura, Kempen, John H, Kerr, Jessica A, Kesse-Guyot, Emmanuelle, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khajuria, Himanshu, Khalaji, Amirmohammad, Khalil, Mariam, Khalilian, Alireza, Khamesipour, Faham, Khan, Asaduzzaman, Khan, M Nuruzzaman, Khan, Maseer, Khan, Mohammad Jobair, Khan, Moien AB, Khanmohammadi, Shaghayegh, Khatab, Khaled, Khatatbeh, Haitham, Khatatbeh, Moawiah Mohammad, Khatib, Mahalaqua Nazli, Khavandegar, Armin, Khayat Kashani, Hamid Reza, Khidri, Feriha Fatima, Khodadoust, Elaheh, Khormali, Moein, Khorrami, Zahra, Khosla, Atulya Aman, Khosrowjerdi, Mahmood, Khreis, Haneen, Khusun, Helda, Kifle, Zemene Demelash, Kim, Kwanghyun, Kim, Min Seo, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Knibbs, Luke D, Knudsen, Ann Kristin Skrindo, Koh, David S Q, Kolahi, Ali-Asghar, Kompani, Farzad, Kong, Jianqiu, Koren, Gerbrand, Korja, Miikka, Korshunov, Vladimir Andreevich, Korzh, Oleksii, Kosen, Soewarta, Kothari, Nikhil, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Krishan, Kewal, Krishnamoorthy, Vijay, Krishnamoorthy, Yuvaraj, Krishnan, Bindu, Krohn, Kris J, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kuddus, Md Abdul, Kuddus, Mohammed, Kugbey, Nuworza, Kuitunen, Ilari, Kulimbet, Mukhtar, Kulkarni, Vishnutheertha, Kumar, Ashish, Kumar, Nithin, Kumar, Vijay, Kundu, Satyajit, Kurmi, Om P, Kusnali, Asep, Kusuma, Dian, Kutluk, Tezer, La Vecchia, Carlo, Ladan, Muhammad Awwal, Laflamme, Lucie, Lahariya, Chandrakant, Lai, Daphne Teck Ching, Lal, Dharmesh Kumar, Lallukka, Tea, Lám, Judit, Lan, Qing, Lan, Tuo, Landires, Iván, Lanfranchi, Francesco, Langguth, Berthold, Lansingh, Van Charles, Laplante-Lévesque, Ariane, Larijani, Bagher, Larsson, Anders O, Lasrado, Savita, Lauriola, Paolo, Le, Huu-Hoai, Le, Long Khanh Dao, Le, Nhi Huu Hanh, Le, Thao Thi Thu, Leasher, Janet L, Ledda, Caterina, Lee, Munjae, Lee, Paul H, Lee, Seung Won, Lee, Shaun Wen Huey, Lee, Yo Han, LeGrand, Kate E, Leigh, James, Leong, Elvynna, Lerango, Temesgen L, Lescinsky, Haley, Leung, Janni, Li, Ming-Chieh, Li, Wang-Zhong, Li, Wei, Li, Yichong, Li, Zhihui, Ligade, Virendra S, Lim, Lee-Ling, Lim, Stephen S, Lin, Ro-Ting, Lin, Shuzhi, Liu, Chaojie, Liu, Gang, Liu, Jinli, Liu, Jue, Liu, Richard T, Liu, Shiwei, Liu, Wei, Liu, Xiaofeng, Liu, Xuefeng, Livingstone, Katherine M, Llanaj, Erand, Lohiya, Ayush, López-Bueno, Rubén, Lopukhov, Platon D, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lubinda, Jailos, Lucchetti, Giancarlo, Luo, Lisha, lv, Hengliang, M Amin, Hawraz Ibrahim, Ma, Zheng Feei, Maass, Kelsey Lynn, Mabrok, Mahmoud, Machairas, Nikolaos, Machoy, Monika, Mafhoumi, Asma, Magdy Abd El Razek, Mohammed, Maghazachi, Azzam A, Mahadeshwara Prasad, D R, Maharaj, Sandeep B, Mahmoud, Mansour Adam, Mahmoudi, Elham, Majeed, Azeem, Makram, Omar Mohamed, Makris, Konstantinos Christos, Malasala, Satyaveni, Maled, Venkatesh, Malhotra, Kashish, Malik, Ahmad Azam, Malik, Iram, Malinga, Lesibana Anthony, Malta, Deborah Carvalho, Mamun, Abdullah A, Manda, Ana Laura, Manla, Yosef, Mansour, Ali, Mansouri, Borhan, Mansouri, Pejman, Mansourian, Marjan, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Manu, Emmanuel, Marateb, Hamid Reza, Maravilla, Joemer C, Marsh, Elizabeth, Martinez, Gabriel, Martinez-Piedra, Ramon, Martini, Santi, Martins-Melo, Francisco Rogerlândio, Martorell, Miquel, Marx, Wolfgang, Maryam, Sharmeen, Mathangasinghe, Yasith, Mathioudakis, Alexander G, Matozinhos, Fernanda Penido, Mattumpuram, Jishanth, Maugeri, Andrea, Maulik, Pallab K, Mayeli, Mahsa, Mazidi, Mohsen, Mazzotti, Antonio, McGrath, John J, McKee, Martin, McKowen, Anna Laura W, McLaughlin, Susan A, McPhail, Michael A, McPhail, Steven M, Mechili, Enkeleint A, Mehmood, Asim, Mehmood, Khalid, Mehrabani-Zeinabad, Kamran, Mehrabi Nasab, Entezar, Meier, Toni, Mejia-Rodriguez, Fabiola, Mekene Meto, Tesfahun, Mekonnen, Birye Dessalegn, Menezes, Ritesh 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Samer H, Murray, Christopher J L, and Gakidou, Emmanuela

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49. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

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Schumacher, Austin E, Kyu, Hmwe Hmwe, Aali, Amirali, Abbafati, Cristiana, Abbas, Jaffar, Abbasgholizadeh, Rouzbeh, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed, Abdollahi, Mohammad, Abdoun, Meriem, Abdullahi, Auwal, Abdurehman, Ame Mehadi, Abebe, Mesfin, Abedi, Aidin, Abedi, Armita, Abegaz, Tadesse M, Abeldaño Zuñiga, Roberto Ariel, Abhilash, E S, Abiodun, Olugbenga Olusola, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abrigo, Michael R M, Abtahi, Dariush, Abu Rumeileh, Samir, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Acuna, Juan Manuel, Adair, Tim, Addo, Isaac Yeboah, Adebayo, Oladimeji M, Adegboye, Oyelola A, Adekanmbi, Victor, Aden, Bashir, Adepoju, Abiola Victor, Adetunji, Charles Oluwaseun, Adeyeoluwa, Temitayo Esther, Adeyomoye, Olorunsola Israel, Adha, Rishan, Adibi, Amin, Adikusuma, Wirawan, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afework, Abel, Afolabi, Aanuoluwapo Adeyimika, Afraz, Ali, Afyouni, Shadi, Afzal, Saira, Agasthi, Pradyumna, Aghamiri, Shahin, Agodi, Antonella, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadzade, Amir Mahmoud, Ahmadzade, Mohadese, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Ajumobi, Olufemi, Akalu, Gizachew Taddesse, Akara, Essona Matatom, Akinosoglou, Karolina, Akkala, Sreelatha, Akyirem, Samuel, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Al Homsi, Ammar, Al Qadire, Mohammad, Ala, Moein, Aladelusi, Timothy Olukunle, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Al-Aly, Ziyad, Alam, Khurshid, Alam, Manjurul, Alam, Zufishan, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albashtawy, Mohammed, AlBataineh, Mohammad T, Aldridge, Robert W, Alemi, Sharifullah, 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2024
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50. Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Author

Bhattacharjee, Natalia V, Schumacher, Austin E, Aali, Amirali, Abate, Yohannes Habtegiorgis, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abd-Elsalam, Sherief, Abdollahi, Mohammad, Abdollahifar, Mohammad-Amin, Abdoun, Meriem, Abdullahi, Auwal, Abebe, Mesfin, Abebe, Samrawit Shawel, Abiodun, Olumide, Abolhassani, Hassan, Abolmaali, Meysam, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abrigo, Michael R M, Abtahi, Dariush, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Adal, Tadele Girum Girum, Adane, Mesafint Molla, Adeagbo, Oluwafemi Atanda Adeagbo, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Aden, Bashir, Adepoju, Abiola Victor, Adetokunboh, Olatunji O, Adetunji, Juliana Bunmi, Adeyinka, Daniel Adedayo, Adeyomoye, Olorunsola Israel, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afolabi, Rotimi Felix, Afyouni, Shadi, Afzal, Muhammad Sohail, Afzal, Saira, Aghamiri, Shahin, Agodi, Antonella, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahlstrom, Austin J, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Tauseef, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Meqdad Saleh, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Akalu, Gizachew Taddesse, Akbarialiabad, Hossein, Akinyemi, Rufus Olusola, Akkaif, Mohammed Ahmed, Akkala, Sreelatha, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Al Qadire, Mohammad, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, Albashtawy, Mohammed, AlBataineh, Mohammad T, Alemi, Hediyeh, Alemi, Sharifullah, Alemu, Yihun Mulugeta, Al-Eyadhy, Ayman, Al-Gheethi, Adel Ali Saeed, Alhabib, Khalid F, Alhajri, Noora, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Abid, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Alif, Sheikh Mohammad, Aligol, Mohammad, Alijanzadeh, Mehran, Aljasir, Mohammad A M, Aljunid, Syed Mohamed, Al-Marwani, Sabah, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Almidani, Omar, Alomari, Mahmoud A, Al-Omari, Basem, Alqahtani, Jaber S, Alqutaibi, Ahmed Yaseen, Al-Raddadi, Rajaa M, Al-Sabah, Salman Khalifah, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvi, Farrukh Jawad, Alvis-Guzman, Nelson, Alwafi, Hassan, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amini-Rarani, Mostafa, Amiri, Sohrab, Ampomah, Irene Gyamfuah, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Anil, Abhishek, Anil, Sneha, Ansar, Adnan, Ansari-Moghaddam, Alireza, Antony, Catherine M, Antriyandarti, Ernoiz, Anvari, Saeid, ANWAR, SALEHA, Anwer, Razique, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arabzadeh Bahri, Razman, Arafa, Elshaimaa A, Arafat, Mosab, Araújo, Ana Margarida, Aravkin, Aleksandr Y, Aremu, Abdulfatai, Aripov, Timur, Arkew, Mesay, Armocida, Benedetta, Ärnlöv, Johan, Arooj, Mahwish, Artamonov, Anton A, Arulappan, Judie, Aruleba, Raphael Taiwo, Arumugam, Ashokan, Asadi-Lari, Mohsen, Asemi, Zatollah, Asgary, Saeed, Asghariahmadabad, Mona, Asghari-Jafarabadi, Mohammad, Ashemo, Mubarek Yesse, Ashraf, Muhammad, Ashraf, Tahira, Asika, Marvellous O, Athari, Seyyed Shamsadin, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avan, Abolfazl, Aweke, Amlaku Mulat, Ayele, Getnet Melaku, Ayyoubzadeh, Seyed Mohammad, Azadnajafabad, Sina, Azevedo, Rui M S, Azzam, Ahmed Y, Badar, Muhammad, Badiye, Ashish D, Baghdadi, Soroush, Bagheri, Nasser, Bagherieh, Sara, Bahmanziari, Najmeh, Bai, Ruhai, Baig, Atif Amin, Baker, Jennifer L, Bako, Abdulaziz T, Bakshi, Ravleen Kaur, Balasubramanian, Madhan, Baltatu, Ovidiu Constantin, Bam, Kiran, Banach, Maciej, Bandyopadhyay, Soham, Banik, Biswajit, Banik, Palash Chandra, Bansal, Hansi, Baran, Mehmet Firat, Barchitta, Martina, Bardhan, Mainak, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrow, Amadou, Barteit, Sandra, Basharat, Zarrin, Bashir, Asma'u I J, Bashiru, Hameed Akande, Basiru, Afisu, Basso, João Diogo, Basu, Sanjay, Batiha, Abdul-Monim Mohammad, Batra, Kavita, Baune, Bernhard T, Bayati, Mohsen, Begum, Tahmina, Behboudi, Emad, Behnoush, Amir Hossein, Beiranvand, Maryam, Bejarano Ramirez, Diana Fernanda, Bekele, Alehegn, Belay, Sefealem Assefa, Belgaumi, Uzma Iqbal, Bell, Michelle L, Bello, Olorunjuwon Omolaja, Beloukas, Apostolos, Bensenor, Isabela M, Berezvai, Zombor, Berhie, Alemshet Yirga, Bermudez, Amiel Nazer C, Bettencourt, Paulo J G, Bhagavathula, Akshaya Srikanth, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhardwaj, Prarthna V, Bhaskar, Sonu, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhatti, Rajbir, Biondi, Antonio, Bisignano, Catherine, Biswas, Atanu, Biswas, Raaj Kishore, Bitra, Veera R, Bjørge, Tone, Bliss, Elye, Boachie, Micheal Kofi, Bobirca, Anca Vasilica, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Bogale, Eyob Ketema, Bogale, Kassawmar Angaw, Bonakdar Hashemi, Milad, Bora Basara, Berrak, Bouaoud, Souad, Braithwaite, Dejana, Brauer, Michael, Breitborde, Nicholas J K, Bryazka, Dana, Bulamu, Norma B, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Bustanji, Yasser, Butt, Nadeem Shafique, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Calina, Daniela, Campos-Nonato, Ismael R, Cao, Fan, Cao, Shujin, Capodici, Angelo, Carreras, Giulia, Carugno, Andrea, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Cattaruzza, Maria Sofia, Caye, Arthur, Cegolon, Luca, Cembranel, Francieli, Cerin, Ester, Chadwick, Joshua, Chahine, Yaacoub, Chakraborty, Chiranjib, Chalek, Julian, Chan, Jeffrey Shi Kai, Charalampous, Periklis, Chattu, Vijay Kumar, Chaturvedi, Sarika, Chavula, Malizgani Paul, Chen, An-Tian, Chen, Haowei, Chen, Simiao, Chi, Gerald, Chichagi, Fatemeh, Chien, Ju-Huei, Ching, Patrick R, Cho, William C S, Choi, Sungchul, Chong, Bryan, Chopra, Hitesh, Choudhari, Sonali Gajanan, Christopher, Devasahayam J, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Eric, Chung, Sheng-Chia, Cindi, Zinhle, Cioffi, Iolanda, Ciuffreda, Raffaela, Claro, Rafael M, Coberly, Kaleb, Columbus, Alyssa, Comfort, Haley, Conde, Joao, Criqui, Michael H, Cruz-Martins, Natália, Cuadra-Hernández, Silvia Magali, Dadana, Sriharsha, Dadras, Omid, Dahiru, Tukur, Dai, Zhaoli, Dalton, Bronte, Damiani, Giovanni, Darwesh, Aso Mohammad, Das, Jai K, Das, Saswati, Dashti, Mohsen, Dastiridou, Anna, Dávila-Cervantes, Claudio Alberto, Davletov, Kairat, Debele, Aklilu Tamire, Debopadhaya, Shayom, Delavari, Somayeh, Delgado-Enciso, Ivan, Demeke, Dessalegn, Demessa, Berecha Hundessa, Deng, Xinlei, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Desai, Hardik Dineshbhai, Desai, Rupak, Devanbu, Vinoth Gnana Chellaiyan, Dhali, Arkadeep, Dhama, Kuldeep, Dhimal, Meghnath, Dhulipala, Vishal R, Dias da Silva, Diana, Diaz, Daniel, Diaz, Michael J, Dima, Adriana, Ding, Delaney D, Dirac, M Ashworth, Do, Thanh Chi, Do, Thao Huynh Phuong, do Prado, Camila Bruneli, Dohare, Sushil, Dong, Wanyue, D'Oria, Mario, dos Santos, Wendel Mombaque, Doshmangir, Leila, Dowou, Robert Kokou, Dsouza, Ashel Chelsea, Dsouza, Haneil Larson, Dsouza, Viola, Dube, John, Duprey, Joe, Duraes, Andre Rodrigues, Duraisamy, Senbagam, Durojaiye, Oyewole Christopher, Dutta, Sulagna, Dwyer-Lindgren, Laura, Dzianach, Paulina Agnieszka, Dziedzic, Arkadiusz Marian, Ebrahimi, Alireza, Edinur, Hisham Atan, Edvardsson, Kristina, Efendi, Ferry, Eikemo, Terje Andreas, Ekholuenetale, Michael, El Tantawi, Maha, Elemam, Noha Mousaad, ElGohary, Ghada Metwally Tawfik, Elhadi, Muhammed, Elilo, Legesse Tesfaye, Elmeligy, Omar Abdelsadek Abdou, Elmonem, Mohamed A, Elshaer, Mohammed, Elsohaby, Ibrahim, Emami Zeydi, Amir, Engelbert Bain, Luchuo, Eskandarieh, Sharareh, Esposito, Francesco, Estep, Kara, Etaee, Farshid, Fabin, Natalia, Fagbamigbe, Adeniyi Francis, Fahimi, Saman, Fakhri-Demeshghieh, Aliasghar, Falzone, Luca, Faramarzi, Ali, Faris, MoezAlIslam Ezzat Mahmoud, Farmer, Sam, Faro, Andre, Fasanmi, Abidemi Omolara, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Fazeli, Pooria, Feigin, Valery L, Fereshtehnejad, Seyed-Mohammad, Feroze, Abdullah Hamid, Ferrara, Pietro, Ferreira, Nuno, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Flavel, Joanne, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Fomenkov, Artem Alekseevich, Foroutan, Behzad, Foschi, Matteo, Fowobaje, Kayode Raphael, Francis, Kate Louise, Freitas, Alberto, Fukumoto, Takeshi, Fuller, John E, Fux, Blima, Gaal, Peter Andras, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Galali, Yaseen, Gallus, Silvano, Gandhi, Aravind P, Ganesan, Balasankar, Ganiyani, Mohammad Arfat, Garcia-Gordillo, M.A., Garg, Naval, Gautam, Rupesh K, Gazzelloni, Federica, Gbadamosi, Semiu Olatunde, Gebregergis, Miglas W, Gebrehiwot, Mesfin, Gebremariam, Tesfay Brhane, Gebremariam, Tesfay B B, Gebremeskel, Teferi Gebru, Geda, Yohannes Fikadu, Georgescu, Simona Roxana, Gerema, Urge, Geremew, Habtamu, Getachew, Motuma Erena, Gething, Peter W, Ghasemi, MohammadReza, Ghasempour Dabaghi, Ghazal, Ghasemzadeh, Afsaneh, Ghassemi, Fariba, Ghazy, Ramy Mohamed, Ghimire, Sailaja, Gholamian, Asadollah, Gholamrezanezhad, Ali, Ghorbani, Mahsa, Ghoshal, Aloke Gopal, Ghuge, Arun Digambarrao, Gil, Artyom Urievich, Gill, Tiffany K, Giorgi, Matteo, Girmay, Alem, Glasbey, James C, Göbölös, Laszlo, Goel, Amit, Golchin, Ali, Golechha, Mahaveer, Goleij, Pouya, Gopalani, Sameer Vali, Goudarzi, Houman, Goulart, Alessandra C, Goyal, Anmol, Graham, Simon Matthew, Grivna, Michal, Guan, Shi-Yang, Guarducci, Giovanni, Gubari, Mohammed Ibrahim Mohialdeen, Gudeta, Mesay Dechasa, Guicciardi, Stefano, Gulati, Snigdha, Gulisashvili, David, Gunawardane, Damitha Asanga, Guo, Cui, Gupta, Anish Kumar, Gupta, Bhawna, Gupta, Manoj Kumar, Gupta, Mohak, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vijai Kumar, Gupta, Vivek Kumar, Haakenstad, Annie, Habibzadeh, Farrokh, Hadi, Najah R, Haep, Nils, Hajibeygi, Ramtin, Haller, Sebastian, Halwani, Rabih, Hamadeh, Randah R, Hamdy, Nadia M, Hameed, Sajid, Hamidi, Samer, Han, Qiuxia, Handal, Alexis J, Hankey, Graeme J, Haque, Md Nuruzzaman, Haro, Josep Maria, Hasaballah, Ahmed I, Hasan, Ikramul, Hasan, Mohammad Jahid, Hasan, S.M. Mahmudul, Hasani, Hamidreza, Hasnain, Md Saquib, Hassan, Amr, Hassan, Ikrama, Hassanipour, Soheil, Hassankhani, Hadi, Hay, Simon I, Hebert, Jeffrey J, Hegazi, Omar E, Heidari, Mohammad, Helfer, Bartosz, Hemmati, Mehdi, Herrera-Serna, Brenda Yuliana, Herteliu, Claudiu, Hessami, Kamran, Hezam, Kamal, Hiraike, Yuta, Hoan, Nguyen Quoc, Holla, Ramesh, Horita, Nobuyuki, Hossain, Md Mahbub, Hossain, Mohammad Bellal Hossain, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hsairi, Mohamed, Hsieh, Vivian Chia-rong, Hu, Chengxi, Huang, Junjie, Huda, M Mamun, Humayun, Ayesha, Hussain, Javid, Hussein, Nawfal R, Huynh, Hong-Han, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Iftikhar, Pulwasha Maria, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Inbaraj, Leeberk Raja, Iqbal, Afrin, Islam, Md. Rabiul, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Iwagami, Masao, Iyer, Mahalaxmi, J, Linda Merin, Jaafari, Jalil, Jacob, Louis, Jadidi-Niaragh, Farhad, Jaggi, Khushleen, Jahankhani, Kasra, Jahanmehr, Nader, Jahrami, Haitham, Jain, Akhil, Jain, Nityanand, Jairoun, Ammar Abdulrahman, Jakovljevic, Mihajlo, Jamshidi, Elham, Javadov, Sabzali, Javaheri, Tahereh, Jayapal, Sathish Kumar, Jayaram, Shubha, Jee, Sun Ha, Jeganathan, Jayakumar, Jha, Anil K, Jha, Ravi Prakash, Jiang, Heng, Jokar, Mohammad, Jonas, Jost B, Joo, Tamas, Joseph, Nitin, Joshua, Charity Ehimwenma, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, K, Vaishali, Kaambwa, Billingsley, Kabir, Abdulkareem, Kabir, Ali, Kabir, Hannaneh, Kabir, Zubair, Kalani, Rizwan, Kalankesh, Leila R, Kaliyadan, Feroze, Kalra, Sanjay, Kamath, Rajesh, Kamath, Sagarika, Kanchan, Tanuj, Kanmiki, Edmund Wedam, Kanmodi, Kehinde Kazeem, Kannan S, Suthanthira, Kansal, Sushil Kumar, Kantar, Rami S, Kapoor, Neeti, Karajizadeh, Mehrdad, Karami, Manoochehr, Karaye, Ibraheem M, Kashoo, Faizan Zaffar, Kasraei, Hengameh, Kassebaum, Nicholas J, Kassel, Molly B, Kauppila, Joonas H, Kazemi, Foad, Kazeminia, sara, Kempen, John H, Kendal, Evie Shoshannah, Keshtkar, Kamyab, Keykhaei, Mohammad, Khajuria, Himanshu, Khalaji, Amirmohammad, Khalid, Nauman, Khalil, Anees Ahmed, Khalilian, Alireza, Khamesipour, Faham, Khan, Ajmal, Khan, Asaduzzaman, Khan, Ikramullah, Khan, M Nuruzzaman, Khan, Maseer, Khan, Mohammad Jobair, Khan, Moien AB, Khang, Young-Ho, Khanmohammadi, Shaghayegh, Khatab, Khaled, Khavandegar, Armin, Khayat Kashani, Hamid Reza, Khidri, Feriha Fatima, Khormali, Moein, Khosravi, Mohammad Ali, Khosrowjerdi, Mahmood, Kidane, Wondwosen Teklesilasie, Kifle, Zemene Demelash, Kim, Julie Sojin, Kim, Min Seo, Kimokoti, Ruth W, Kinzel, Kasey E, Kiross, Girmay Tsegay, Kisa, Adnan, Kisa, Sezer, Kolahi, Ali-Asghar, Kompani, Farzad, Koren, Gerbrand, Korzh, Oleksii, Kosen, Soewarta, Koulmane Laxminarayana, Sindhura Lakshmi, Krishan, Kewal, Krishna, Varun, Krishnamoorthy, Vijay, Kuate Defo, Barthelemy, Kubeisy, Connor M, Kucuk Bicer, Burcu, Kuddus, Md Abdul, Kuddus, Mohammed, Kuitunen, Ilari, Kulimbet, Mukhtar, Kumar, Harish, Kundu, Satyajit, Kunle, Kunle Rotimi, Kurmi, Om P, Kusnali, Asep, Kusuma, Dian, Kyei, Evans F, Kyriopoulos, Ilias, La Vecchia, Carlo, Lacey, Ben, Ladan, Muhammad Awwal, Laflamme, Lucie, Lahariya, Chandrakant, Lai, Daphne Teck Ching, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lám, Judit, Lamnisos, Demetris, Landires, Iván, Lanfranchi, Francesco, Langguth, Berthold, Laplante-Lévesque, Ariane, Larson, Heidi Jane, Larsson, Anders O, Lasrado, Savita, Latief, Kamaluddin, Latifinaibin, Kaveh, Le, Long Khanh Dao, Le, Nhi Huu Hanh, Le, Trang Diep Thanh, Ledda, Caterina, Lee, Munjae, Lee, Paul H, Lee, Seung Won, Lee, Yo Han, Lema, Gebretsadik Kiros, Leong, Elvynna, Lerango, Temesgen L, Li, An, Li, Ming-Chieh, Li, Shanshan, Li, Wei, Li, Xiaopan, Ligade, Virendra S, Lim, Stephen S, Lin, Ro-Ting, Lindstedt, Paulina A, Listl, Stefan, Liu, Gang, Liu, Jue, Liu, Xiaofeng, Liu, Xuefeng, Liu, Yuewei, Llanaj, Erand, López-Bueno, Rubén, Lopukhov, Platon D, Lorenzovici, László, Lotufo, Paulo A, Lubinda, Jailos, Lucchetti, Giancarlo, Lugo, Alessandra, Lunevicius, Raimundas, Lv, Hengliang, Ma, Zheng Feei, Maass, Kelsey Lynn, Machoy, Monika, Madureira-Carvalho, Áurea M, Magdy Abd El Razek, Mohammed, Maghazachi, Azzam A, Mahjoub, Soleiman, Mahmoud, Mansour Adam, Majeed, Azeem, Malagón-Rojas, Jeadran N, Malakan Rad, Elaheh, Malhotra, Kashish, Malik, Ahmad Azam, Malik, Iram, Malta, Deborah Carvalho, Mamun, Abdullah A, Manla, Yosef, Mansoori, Yasaman, Mansour, Ali, Mansouri, Borhan, Mansouri, Zeinab, Mansournia, Mohammad Ali, Maravilla, Joemer C, Marino, Mirko, Marjani, Abdoljalal, Martinez, Gabriel, Martinez-Piedra, Ramon, Martins-Melo, Francisco Rogerlândio, Martorell, Miquel, Maryam, Sharmeen, Marzo, Roy Rillera, Masoudi, Alireza, Mattumpuram, Jishanth, Maude, Richard James, Maugeri, Andrea, May, Erin A, Mayeli, Mahsa, Mazaheri, Maryam, McGrath, John J, McKee, Martin, McKowen, Anna Laura Wensel, McLaughlin, Susan A, McPhail, Steven M, Mehra, Rahul, Mehrabani-Zeinabad, Kamran, Mehrabi Nasab, Entezar, Mekene Meto, Tesfahun, Mendez-Lopez, Max Alberto Mendez, Mendoza, Walter, Menezes, Ritesh G, Mensah, George A, Mentis, Alexios-Fotios A, Meo, Sultan Ayoub, Merati, Mohsen, Meretoja, Atte, Meretoja, Tuomo J, Mersha, Abera M, Mestrovic, Tomislav, Metanat, Pouya, Mettananda, Kukulege Chamila Dinushi, Mettananda, Sachith, Mhlanga, Adquate, Mhlanga, Laurette, Mi, Tianyue, Miazgowski, Tomasz, Micha, Georgia, Michalek, Irmina Maria, Miller, Ted R, Minh, Le Huu Nhat, Mirghafourvand, Mojgan, Mirrakhimov, Erkin M, Mirutse, Mizan Kiros, Mirza, Moonis, Mirzaei, Roya, Mishra, Ashim, Misra, Sanjeev, Mitchell, Philip B, Mittal, Chaitanya, Moazen, Babak, Mohamed, Abdalla Z, Mohamed, Ahmed Ismail, Mohamed, Jama, Mohamed, Mouhand F H, Mohamed, Nouh Saad, Mohammad-Alizadeh-Charandabi, Sakineh, Mohammadi, Soheil, Mohammadian-Hafshejani, Abdollah, Mohammed, Mustapha, Mohammed, Salahuddin, Mohammed, Shafiu, Mokdad, Ali H, Mokhtarzadehazar, Peyman, Molavi Vardanjani, Hossein, Molinaro, Sabrina, Monasta, Lorenzo, Moni, Mohammad Ali, Moradi, Maryam, Moradi, Yousef, Moraga, Paula, Moreira, Rafael Silveira, Morovatdar, Negar, Morrison, Shane Douglas, Morze, Jakub, Mosapour, Abbas, Mossialos, Elias, Motappa, Rohith, Mousavi, Parsa, Mousavi Khaneghah, Amin, Mpundu-Kaambwa, Christine, Mubarik, Sumaira, Muccioli, Lorenzo, Mulita, Francesk, Munjal, Kavita, Murillo-Zamora, Efrén, Musa, Jonah, Musaigwa, Fungai, Musina, Ana-Maria, Muthu, Sathish, Muthupandian, Saravanan, Muzaffar, Muhammad, Myung, Woojae, Nagarajan, Ahamarshan Jayaraman, Nagel, Gabriele, Naghavi, Pirouz, Naik, Ganesh R, Naik, Gurudatta, Naimzada, Mukhammad David, Nainu, Firzan, Nangia, Vinay, Narasimha Swamy, Sreenivas, Nascimento, Bruno Ramos, Nascimento, Gustavo G, Naser, Abdallah Y, Nasiri, Mohammad Javad, Natto, Zuhair S, Nauman, Javaid, Naveed, Muhammad, Nayak, Biswa Prakash, Nayak, Vinod C, Ndejjo, Rawlance, Nduaguba, Sabina Onyinye, Negash, Hadush, Negesse, Chernet Tafere, Negoi, Ionut, Negoi, Ruxandra Irina, Nejadghaderi, Seyed Aria, Nejjari, Chakib, Nepal, Samata, Netsere, Henok Biresaw, Nguefack-Tsague, Georges, Ngunjiri, Josephine W., Nguyen, Dang H, Nguyen, Hau Thi Hien, Nguyen, Phuong The, Nguyen, QuynhAnh P, Nguyen, Van Thanh, Niazi, Robina Khan, Nigatu, Yeshambel T, Nikolouzakis, Taxiarchis Konstantinos, Nikoobar, Ali, Nikpoor, Amin Reza, Nnaji, Chukwudi A, Nnyanzi, Lawrence Achilles, Noman, Efaq Ali, Nomura, Shuhei, Noreen, Mamoona, Noroozi, Nafise, Nri-Ezedi, Chisom Adaobi, Nunemo, Mengistu H, Nuñez-Samudio, Virginia, Nurrika, Dieta, Nutor, Jerry John, Oancea, Bogdan, Obamiro, Kehinde O, Odetokun, Ismail A, Odogwu, Nkechi Martina, O'Donnell, Martin James, Odukoya, Oluwakemi Ololade, Oguntade, Ayodipupo Sikiru, Oguta, James Odhiambo, Oh, In-Hwan, Okeke, Sylvester Reuben, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Okwute, Patrick Godwin, Olagunju, Andrew T, Olasupo, Omotola O, Olatubi, Matthew Idowu, Oliveira, Gláucia Maria Moraes, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oluwatunase, Gideon Olamilekan, Omar, Hany A, Omer, Goran Latif, Onwujekwe, Obinna E, Ordak, Michal, Orisakwe, Orish Ebere, Orish, Verner N, Ortega-Altamirano, Doris V, Ortiz, Alberto, Ortiz-Prado, Esteban, Osman, Wael M S, Osuagwu, Uchechukwu Levi, Osuolale, Olayinka, Otoiu, Adrian, Otstavnov, Stanislav S, Ouyahia, Amel, Ouyang, Guoqing, Owolabi, Mayowa O, Ozten, Yaz, P A, Mahesh Padukudru, Pahlevan Fallahy, Mohammad Taha, Pan, Feng, Pan, Hai-Feng, Pana, Adrian, Panda, Paramjot, Panda-Jonas, Songhomitra, Pangaribuan, Helena Ullyartha, Panos, Georgios D, Panos, Leonidas D, Pantazopoulos, Ioannis, Pantea Stoian, Anca Mihaela, Parikh, Romil R, Park, Seoyeon, Parthasarathi, Ashwaghosha, Pashaei, Ava, Passera, Roberto, Patel, Hemal M, Patel, Jay, Patil, 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2024
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