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3,822 results on '"Sun, Zhong"'

1. Systematic Abductive Reasoning via Diverse Relation Representations in Vector-symbolic Architecture

Author

Sun, Zhong-Hua, Zhang, Ru-Yuan, Zhen, Zonglei, Wang, Da-Hui, Li, Yong-Jie, Wan, Xiaohong, and You, Hongzhi

Subjects
Computer Science - Artificial Intelligence
Abstract

In abstract visual reasoning, monolithic deep learning models suffer from limited interpretability and generalization, while existing neuro-symbolic approaches fall short in capturing the diversity and systematicity of attributes and relation representations. To address these challenges, we propose a Systematic Abductive Reasoning model with diverse relation representations (Rel-SAR) in Vector-symbolic Architecture (VSA) to solve Raven's Progressive Matrices (RPM). To derive attribute representations with symbolic reasoning potential, we introduce not only various types of atomic vectors that represent numeric, periodic and logical semantics, but also the structured high-dimentional representation (SHDR) for the overall Grid component. For systematic reasoning, we propose novel numerical and logical relation functions and perform rule abduction and execution in a unified framework that integrates these relation representations. Experimental results demonstrate that Rel-SAR achieves significant improvement on RPM tasks and exhibits robust out-of-distribution generalization. Rel-SAR leverages the synergy between HD attribute representations and symbolic reasoning to achieve systematic abductive reasoning with both interpretable and computable semantics.

Published
2025

2. GRAMC: General-purpose and reconfigurable analog matrix computing architecture

Author

Pan, Lunshuai, Wang, Shiqing, Zuo, Pushen, and Sun, Zhong

Subjects
Computer Science - Hardware Architecture, Computer Science - Emerging Technologies, Electrical Engineering and Systems Science - Systems and Control
Abstract

In-memory analog matrix computing (AMC) with resistive random-access memory (RRAM) represents a highly promising solution that solves matrix problems in one step. However, the existing AMC circuits each have a specific connection topology to implement a single computing function, lack of the universality as a matrix processor. In this work, we design a reconfigurable AMC macro for general-purpose matrix computations, which is achieved by configuring proper connections between memory array and amplifier circuits. Based on this macro, we develop a hybrid system that incorporates an on-chip write-verify scheme and digital functional modules, to deliver a general-purpose AMC solver for various applications., Comment: This paper has been accepted to DATE 2025

Published
2025

3. Dynamic Thresholding Algorithm with Memory for Linear Inverse Problems

Author

Sun, Zhong-Feng, Zhao, Yun-Bin, Zhou, Jin-Chuan, and Huang, Zheng-Hai

Subjects
Computer Science - Information Theory, Mathematics - Numerical Analysis
Abstract

The relaxed optimal $k$-thresholding pursuit (ROTP) is a recent algorithm for linear inverse problems. This algorithm is based on the optimal $k$-thresholding technique which performs vector thresholding and error metric reduction simultaneously. Although ROTP can be used to solve small to medium-sized linear inverse problems, the computational cost of this algorithm is high when solving large-scale problems. By merging the optimal $k$-thresholding technique and iterative method with memory as well as optimization with sparse search directions, we propose the so-called dynamic thresholding algorithm with memory (DTAM), which iteratively and dynamically selects vector bases to construct the problem solution. At every step, the algorithm uses more than one or all iterates generated so far to construct a new search direction, and solves only the small-sized quadratic subproblems at every iteration. Thus the computational complexity of DTAM is remarkably lower than that of ROTP-type methods. It turns out that DTAM can locate the solution of linear inverse problems if the matrix involved satisfies the restricted isometry property. Experiments on synthetic data, audio signal reconstruction and image denoising demonstrate that the proposed algorithm performs comparably to several mainstream thresholding and greedy algorithms, and it works much faster than the ROTP-type algorithms especially when the sparsity level of signal is relatively low.

Published
2024

4. The maximum storage capacity of open-loop written RRAM is around 4 bits

Author

Li, Yongxiang, Wang, Shiqing, and Sun, Zhong

Subjects
Computer Science - Emerging Technologies, Computer Science - Hardware Architecture, Computer Science - Information Theory
Abstract

There have been a plethora of research on multi-level memory devices, where the resistive random-access memory (RRAM) is a prominent example. Although it is easy to write an RRAM device into multiple (even quasi-continuous) states, it suffers from the inherent variations that should limit the storage capacity, especially in the open-loop writing scenario. There have been many experimental results in this regard, however, it lacks a comprehensive analysis of the valid multi-bit storage capability, especially in theoretical terms. The absence of such an insight usually results in misleading conclusions that either exaggerate or underestimate the storage capacity of RRAM devices. Here, by the concept of information theory, we present a model for evaluating the storage capacity of open-loop written RRAM. Based on the experimental results in the literature and the test results of our own devices, we have carefully examined the effects of number of pre-defined levels, conductance variation, and conductance range, on the storage capacity. The analysis leads to a conclusion that the maximum capacity of RRAM devices is around 4 bits., Comment: This work has been presented at the conference ICSICT 2024

Published
2024

5. Roadmap to Neuromorphic Computing with Emerging Technologies

Author

Mehonic, Adnan, Ielmini, Daniele, Roy, Kaushik, Mutlu, Onur, Kvatinsky, Shahar, Serrano-Gotarredona, Teresa, Linares-Barranco, Bernabe, Spiga, Sabina, Savelev, Sergey, Balanov, Alexander G, Chawla, Nitin, Desoli, Giuseppe, Malavena, Gerardo, Compagnoni, Christian Monzio, Wang, Zhongrui, Yang, J Joshua, Syed, Ghazi Sarwat, Sebastian, Abu, Mikolajick, Thomas, Noheda, Beatriz, Slesazeck, Stefan, Dieny, Bernard, Tuo-Hung, Hou, Varri, Akhil, Bruckerhoff-Pluckelmann, Frank, Pernice, Wolfram, Zhang, Xixiang, Pazos, Sebastian, Lanza, Mario, Wiefels, Stefan, Dittmann, Regina, Ng, Wing H, Buckwell, Mark, Cox, Horatio RJ, Mannion, Daniel J, Kenyon, Anthony J, Lu, Yingming, Yang, Yuchao, Querlioz, Damien, Hutin, Louis, Vianello, Elisa, Chowdhury, Sayeed Shafayet, Mannocci, Piergiulio, Cai, Yimao, Sun, Zhong, Pedretti, Giacomo, Strachan, John Paul, Strukov, Dmitri, Gallo, Manuel Le, Ambrogio, Stefano, Valov, Ilia, and Waser, Rainer

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Hardware Architecture, Electrical Engineering and Systems Science - Systems and Control
Abstract

The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently utilized technologies, providing an overview of emerging technologies, addressing material challenges, exploring novel computing concepts, and finally examining the maturity level of emerging technologies while determining the next essential steps for their advancement., Comment: 90 pages, 22 figures, roadmap, neuromorphic

Published
2024

10. Towards a Foundation Model for Cortical Folding

Author

Laval, Julien, Chavas, Joël, Troiani, Vanessa, Snyder, William, Patti, Marisa, Moyal, Mylène, Plaze, Marion, Cachia, Arnaud, Yi Sun, Zhong, Frouin, Vincent, Gori, Pietro, Rivière, Denis, Mangin, Jean-François, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bathula, Deepti R., editor, Benet Nirmala, Anoop, editor, Dvornek, Nicha C., editor, Govindarajan, Sindhuja T., editor, Habes, Mohamad, editor, Kumar, Vinod, editor, Nebli, Ahmed, editor, Wolfers, Thomas, editor, and Xiao, Yiming, editor

Published
2025
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20. Reciprocating Magnetic Fields in the Pulsar Wind Observed from the Black Widow Pulsar J1720-0534

Author

Miao, Chen-Chen, Blackmon, Victoria, Zhu, Wei-Wei, Li, Dong-Zi, Ge, Mingyu, You, Xiao-Peng, McLaughlin, Maura, Li, Di, Wang, Na, Wang, Pei, Niu, Jia-Rui, Cruces, M., Yuan, Jian-Ping, Bai, Jun-Tao, Champion, D. J., Chen, Yu-Tong, Chi, Ming-Min, Freire, P. C. C., Feng, Yi, Gan, Zhen-Ye, Kramer, M., Kou, Fei-Fei, Li, Yu-Xi, Miao, Xue-Li, Meng, Ling-Qi, Niu, Chen-Hui, Sun, Sheng-Nan, Sun, Zhong-Yi, Tedila, H. M., Wang, Shuang-Qiang, Wu, Qing-Dong, Wang, Jing-Bo, Wen, Zhi-Gang, Wang, Shen, Wang, Ya-Biao, Wang, Cheng-Jie, Xue, Meng-Yao, Yue, You-Ling, Yuan, Mao, Yao, Ju-Mei, Yan, Wen-Ming, Zhao, Ru-Shuang, Zhang, Lei, and Zhao, De

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

We report the radio observations of the eclipsing black widow pulsar J1720-0534, a 3.26 ms pulsar in orbit with a low mass companion of mass 0.029 to 0.034 M$_{\odot}$. We obtain the phase-connected timing ephemeris and polarization profile of this millisecond pulsar (MSP) using the Five-hundred-meter Aperture Spherical Radio Telescope (FAST), the Green Bank Telescope (GBT), and the Parkes Telescope. For the first time from such a system, an oscillatory polarisation angle change was observed from a particular eclipse egress with partial depolarization, indicating 10-milliGauss-level reciprocating magnetic fields oscillating in a length scale of 5000 km (assuming an orbital inclination angle of 90 degrees) outside the companion's magnetosphere. The dispersion measure variation observed during the ingresses and egresses shows the rapid raising of the electron density in the shock boundary between the companion's magnetosphere and the surrounding pulsar wind. We suggest that the observed oscillatory magnetic fields originate from the pulsar wind outside the companion's magnetosphere., Comment: 15 pages, 8 figures, 1 table, accepted by RAA

Published
2023
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21. Heavy-ball-based optimal thresholding algorithms for sparse linear inverse problems

Author

Sun, Zhong-Feng, Zhou, Jin-Chuan, and Zhao, Yun-Bin

Subjects
Mathematics - Numerical Analysis, Computer Science - Information Theory
Abstract

Linear inverse problems arise in diverse engineering fields especially in signal and image reconstruction. The development of computational methods for linear inverse problems with sparsity is one of the recent trends in this field. The so-called optimal $k$-thresholding is a newly introduced method for sparse optimization and linear inverse problems. Compared to other sparsity-aware algorithms, the advantage of optimal $k$-thresholding method lies in that it performs thresholding and error metric reduction simultaneously and thus works stably and robustly for solving medium-sized linear inverse problems. However, the runtime of this method is generally high when the size of the problem is large. The purpose of this paper is to propose an acceleration strategy for this method. Specifically, we propose a heavy-ball-based optimal $k$-thresholding (HBOT) algorithm and its relaxed variants for sparse linear inverse problems. The convergence of these algorithms is shown under the restricted isometry property. In addition, the numerical performance of the heavy-ball-based relaxed optimal $k$-thresholding pursuit (HBROTP) has been evaluated, and simulations indicate that HBROTP admits robustness for signal and image reconstruction even in noisy environments.

Published
2023

22. Influence of Transition Material Characteristics on Cracking of Asphalt Concrete Core Walls

Author

LIU Bo, WANG Junjie, SUN Zhong, and LIU Liangjun

Subjects
asphalt concrete core wall dam, hydraulic fracturing, total stress method, core wall crack resistance, safety ratio index, River, lake, and water-supply engineering (General), TC401-506
Abstract

The stress level variation of asphalt concrete core walls is not only affected by its material characteristics but also constrained by adjacent transition material characteristics. Changing transition material characteristics will have a significant impact on the hydraulic fracturing of core walls. To explore the relationship between changes in transition material characteristics and core wall cracking, the Duncan-Chang E-B model was used to perform finite element calculations on the Miaotang core wall rock-filldam. A crack resistance safety factor Kn was proposed to characterize the risk of hydraulic fracturing in the core wall. Based on this, the orthogonal experimental method was used to compare the correlation between various parameters of the transition material E-B model and core wall cracking. The conclusion was drawn that the greater the stiffness of the transition material, the greater the possibility of hydraulic fracturing in the core wall. In the selection of transition materials, priority should be given to high sensitivity factors Rf, n, φ0 and K. On the premise of meeting the design and construction specifications of asphalt concrete core wall dams, selecting transition materials with larger Rf and smaller K and φ0 is beneficial for improving the crack resistance performance of asphalt concrete core wall dams.

Published
2024
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24. The Study Progress on Breeding of Flax and Industrial Hemp in China

Author

Kang Qing Hua, Sun Zhong Yi, Qiu Cai Sheng, Wang Yu Fu, Zhu Xuan, Song Xi Xia, Chen Xiao Yan, Yao Dan Dan, Jiang Wei Dong, Yuan Hong Mei, Tang Li Li, Liu Dan Dan, and Yao Yu Bo

Subjects
Flax, industrial hemp, germplasm, cross breeding, molecular breeding, study progress, Science, Textile bleaching, dyeing, printing, etc., TP890-933
Abstract

The breeding of flax and industrial hemp in China began in the 1950s. After the end of the 20th century, the development of related breeding technologies has been accelerating. The current main breeding techniques include cross breeding, mutagenesis, distant hybridization, utilization of male sterile flax, haploid breeding, hybrid breeding, tissue culture, transgene, gene editing, molecular marker assisted selection, and other technologies. Despite many new breeding techniques, cross breeding still are the main breeding method for flax and industrial hemp now. This paper introduced the production status, breeding history, germplasm collection, standard formulation, breeding methods, and new varieties of flax and industrial hemp. Analyzed some problems in flax and industrial hemp breeding, and put forward some suggestions.

Published
2024
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25. Extremely-Fast, Energy-Efficient Massive MIMO Precoding with Analog RRAM Matrix Computing

Author

Zuo, Pushen, Sun, Zhong, and Huang, Ru

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Hardware Architecture
Abstract

Signal processing in wireless communications, such as precoding, detection, and channel estimation, are basically about solving inverse matrix problems, which, however, are slow and inefficient in conventional digital computers, thus requiring a radical paradigm shift to achieve fast, real-time solutions. Here, for the first time, we apply the emerging analog matrix computing (AMC) to the linear precoding of massive MIMO. The real-valued AMC concept is extended to process complex-valued signals. In order to adapt the MIMO channel models to RRAM conductance mapping, a new matrix inversion circuit is developed. In addition, fully analog dataflow and optimized operational amplifiers are designed to support AMC precoding implementation. Simulation results show that the zero-forcing precoding is solved within 20 ns for a 16x128 MIMO system, which is two orders of magnitude faster than the conventional digital approach. Meanwhile, the energy efficiency is improved by 50x., Comment: Submitted to an IEEE journal for possible publication

Published
2022

30. Tutorial: Analog Matrix Computing (AMC) with Crosspoint Resistive Memory Arrays

Author

Sun, Zhong and Ielmini, Daniele

Subjects
Computer Science - Emerging Technologies, Electrical Engineering and Systems Science - Signal Processing
Abstract

Matrix computation is ubiquitous in modern scientific and engineering fields. Due to the high computational complexity in conventional digital computers, matrix computation represents a heavy workload in many data-intensive applications, e.g., machine learning, scientific computing, and wireless communications. For fast, efficient matrix computations, analog computing with resistive memory arrays has been proven to be a promising solution. In this Tutorial, we present analog matrix computing (AMC) circuits based on crosspoint resistive memory arrays. AMC circuits are able to carry out basic matrix computations, including matrix multiplication, matrix inversion, pseudoinverse and eigenvector computation, all with one single operation. We describe the main design principles of the AMC circuits, such as local/global or negative/positive feedback configurations, with/without external inputs. Mapping strategies for matrices containing negative values will be presented. The underlying requirements for circuit stability will be described via the transfer function analysis, which also defines time complexity of the circuits towards steady-state results. Lastly, typical applications, challenges, and future trends of AMC circuits will be discussed., Comment: 6 pages, 6 figures, 2 tables, IEEE TCAS-II Tutorial 2022, accepted for publication

Published
2022

39. Heavy-Ball-Based Hard Thresholding Algorithms for Sparse Signal Recovery

Author

Sun, Zhong-Feng, Zhou, Jin-Chuan, Zhao, Yun-Bin, and Meng, Nan

Subjects
Computer Science - Information Theory
Abstract

The hard thresholding technique plays a vital role in the development of algorithms for sparse signal recovery. By merging this technique and heavy-ball acceleration method which is a multi-step extension of the traditional gradient descent method, we propose the so-called heavy-ball-based hard thresholding (HBHT) and heavy-ball-based hard thresholding pursuit (HBHTP) algorithms for signal recovery. It turns out that the HBHT and HBHTP can successfully recover a $k$-sparse signal if the restricted isometry constant of the measurement matrix satisfies $\delta_{3k}<0.618 $ and $\delta_{3k}<0.577,$ respectively. The guaranteed success of HBHT and HBHTP is also shown under the conditions $\delta_{2k}<0.356$ and $\delta_{2k}<0.377,$ respectively. Moreover, the finite convergence and stability of the two algorithms are also established in this paper. Simulations on random problem instances are performed to compare the performance of the proposed algorithms and several existing ones. Empirical results indicate that the HBHTP performs very comparably to a few existing algorithms and it takes less average time to achieve the signal recovery than these existing methods.

Published
2022

44. Global, regional, and national burden of stroke and its risk factors, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author

Feigin, Valery L, Abate, Melsew Dagne, Abate, Yohannes Habtegiorgis, Abd ElHafeez, Samar, Abd-Allah, Foad, Abdelalim, Ahmed, Abdelkader, Atef, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Arash, Abdoun, Meriem, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abeldaño Zuñiga, Roberto Ariel, Abhilash, E S, Abiodun, Olugbenga Olusola, Abiodun, Olumide, Abo Kasem, Rahim, Aboagye, Richard Gyan, Abouzid, Mohamed, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abtahi, Dariush, Abu Rumeileh, Samir, Abualhasan, Ahmed, Abualruz, Hasan, Abu-Gharbieh, Eman, Abukhadijah, Hana J, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Acuna, Juan Manuel, Adane, Denberu Eshetie, Adane, Mesafint Molla, Addo, Isaac Yeboah, Adedoyin, Rufus Adesoji, Adegboye, Oyelola A, Adekanmbi, Victor, Adhikari, Kishor, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Adzigbli, Leticia Akua, Afify, Abdelrahman Yousry, Afolabi, Aanuoluwapo Adeyimika, Afrashteh, Fatemeh, Afzal, Muhammad Sohail, Afzal, Saira, Aghamiri, Shahin, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Akara, Essona Matatom, Akinyemi, Rufus Olusola, Akkaif, Mohammed Ahmed, Akrami, Ashley E, Al Awaidy, Salah, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Al Qadire, Mohammad, Al Ta'ani, Omar, Al-Ajlouni, Yazan, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Al-amer, Rasmieh Mustafa, Aldhaleei, Wafa A, Aldossary, Mohammed S, Alemohammad, Seyedeh Yasaman, Al-Fatly, Bassam, Al-Gheethi, Adel Ali Saeed, Alhalaiqa, Fadwa Naji, Alharrasi, Maryam, Ali, Abid, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait, Ali, Waad, Al-Ibraheem, Akram, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Almahmeed, Wael, Al-Marwani, Sabah, Alomari, Mahmoud A, Alonso, Jordi, Alqahtani, Jaber S, Al-Raddadi, Rajaa M Mohammad, Alrawashdeh, Ahmad, Alsabri, Mohammed A, Alshahrani, Najim Z, Altaany, Zaid, Altaf, Awais, Al-Tammemi, Alaa B, Altwalbeh, Diala, Alvis-Guzman, Nelson, Alwafi, Hassan, Al-Wardat, Mohammad, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alyahya, Mohammad Sharif Ibrahim, Alzoubi, Karem H, Al-Zyoud, Walid Adnan, Amani, Reza, Amegbor, Prince M, Amera, Tewodros Getnet, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Angappan, Dhanalakshmi, Anil, Abhishek, Ansari, Mohammed Tahir Tahir, Ansari-Moghaddam, Alireza, Ansong, Rockson, Anvari, Saeid, Anwar, Saleha, Anwar, Sumadi Lukman, Anyabolo, Ekenedilichukwu Emmanuel, Anyasodor, Anayochukwu Edward, Apostol, Geminn Louis Carace, Appiah, Francis, Aqeel, Muhammad, Arabloo, Jalal, Arabzadeh Bahri, Razman, Arafat, Mosab, Aravkin, Aleksandr Y, Ardekani, Ali, Areda, Demelash, Aregawi, Brhane Berhe, Aregu, Getnet Mesfin, Aremu, Olatunde, Arifin, Hidayat, Ärnlöv, Johan, Artamonov, Anton A, Arulappan, Judie, Aryal, Umesh Raj, Aryan, Zahra, Asbeutah, Akram M, Asemahagn, Mulusew A, Asemu, Mulu Tiruneh, Asghari-Jafarabadi, Mohammad, Ashemo, Mubarek Yesse, Ashraf, Tahira, Aslani, Armin, Asmerom, Haftu Asmerom, Astell-Burt, Thomas, Athari, Seyyed Shamsadin, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avan, Abolfazl, Awad, Hamzeh, Awotidebe, Adedapo Wasiu, Ayana, Lemessa Assefa A, Aychiluhm, Setognal Birara, Aynalem, Amdehiwot A, Aynalem, Zewdu Bishaw, Azadnajafabad, Sina, Azami, Hiva, Aziz, Shahkaar, Azzam, Ahmed Y, Babu, Abraham Samuel, Babu, Giridhara Rathnaiah, Badar, Muhammad, Badiye, Ashish D, Bahrami Taghanaki, Pegah, Bahramian, Saeed, Bai, Ruhai, Baig, Atif Amin, Bakkannavar, Shankar M, Bako, Abdulaziz T, Baltatu, Ovidiu Constantin, Bam, Kiran, Banach, Maciej, Banakar, Morteza, Bandyopadhyay, Soham, Banik, Palash Chandra, Bansal, Kannu, Bao, Yanping, Barboza, Miguel A, Bardhan, Mainak, Barengo, Noel C, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barqawi, Hiba Jawdat, Barrow, Amadou, Barua, Lingkan, Bashiri, Azadeh, Bashiru, Hameed Akande, Basiru, Afisu, Bastan, Mohammad-Mahdi, Basu, Sanjay, Basu, Saurav, Batra, Kavita, Begde, Ahmet, Behnam, Babak, Behnoush, Amir Hossein, Belayneh, Melesse B Y, Belingheri, Michael, Bello, Umar Muhammad, Bennett, Derrick A, Bensenor, Isabela M, Berhe, Fentaw Tadese, Bermudez, Amiel Nazer C, Beyene, Habtamu B B, Beyene, Kebede A, Bhagat, Devidas S, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhalla, Ashish, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh Singh, Bhuiyan, Mohiuddin Ahmed, Bhusal, Subarna, Bikbov, Boris, Bilgin, Cem, Biondi, Antonio, Bishaw, Keralem Anteneh, Biswas, Atanu, Biswas, Bijit, Bodhare, Trupti, Bogale, Eyob Ketema, Boloor, Archith, Bonakdar Hashemi, Milad, Bonny, Aime, Bora Basara, Berrak, Borhany, Hamed, Bosoka, Samuel Adolf, Bouaoud, Souad, Bouyahya, Abdelhakim, Boyko, Edward J, Bozic, Marija M, Braithwaite, Dejana, Breitner, Susanne, Brenner, Hermann, Britton, Gabrielle, Brunoni, Andre R, Bryazka, Dana, Bugiardini, Raffaele, Bulto, Lemma N, Burkart, Katrin, Bustanji, Yasser, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cámera, Luis Alberto, Campos, Luciana Aparecida, Campos-Nonato, Ismael R, Cao, Fan, Capodici, Angelo, Cárdenas, Rosario, Carr, Sinclair, Carreras, Giulia, Carvalho, Andre F, Carvalho, Felix, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catapano, Alberico L, Cattaruzza, Maria Sofia, Cegolon, Luca, Cembranel, Francieli, Cenko, Edina, Cerin, Ester, Chadwick, Joshua, Chakraborty, Chiranjib, Chakraborty, Sandip, Chan, Jeffrey Shi Kai, Chandika, Rama Mohan, Chandrasekar, Eeshwar K, Chanie, Gashaw Sisay, Chattu, Vijay Kumar, Chaudhary, Anis Ahmad, Chaurasia, Akhilanand, Chen, Haowei, Chen, Mingling, Chen, Simiao, Chi, Gerald, Chichagi, Fatemeh, Chimoriya, Ritesh, Ching, Patrick R, Chitheer, Abdulaal, Cho, So Mi Jemma, Choi, Dong-Woo, Chong, Bryan, Chong, Chean Lin, Chopra, Hitesh, Choudhari, Sonali Gajanan, Choudhary, Rahul, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Sheng-Chia, Cindi, Zinhle, Cioffi, Iolanda, Cogen, Rebecca M, Columbus, Alyssa, Costanzo, Simona, Couto, Rosa A S, Criqui, Michael H, Cruz-Martins, Natalia, Cuadra-Hernández, Silvia Magali, da Silva, Alanna Gomes, Dadana, Sriharsha, Dadras, Omid, Dai, Xiaochen, Dalal, Koustuv, Dalli, Lachlan L, Damiani, Giovanni, D'Amico, Emanuele, Dandona, Lalit, Dandona, Rakhi, Darwish, Amira Hamed, Das, Saswati, Dashti, Mohsen, Dashtkoohi, Mohadese, Dashtkoohi, Mohammad, Dastmardi, Maedeh, Davletov, Kairat, De la Cruz-Góngora, Vanessa, DeAngelo, Sean, Debele, Aklilu Tamire, Debopadhaya, Shayom, Delgado-Enciso, Ivan, Demessa, Berecha Hundessa, Demetriades, Andreas K, Denova-Gutiérrez, Edgar, Dervišević, Emina, Desai, Hardik Dineshbhai, Desale, Aragaw Tesfaw, Desta, Fikreab, Devanbu, Vinoth Gnana Chellaiyan, Devegowda, Devananda, Dewan, Syed Masudur Rahman, Dhane, Amol S, Dhimal, Meghnath, Dhulipala, Vishal R, Diaz, Michael J, Diress, Mengistie, Dodangeh, Milad, Doegah, Phidelia Theresa, Dohare, Sushil, Doheim, Mohamed Fahmy, Dokova, Klara Georgieva, Dongarwar, Deepa, D'Oria, Mario, Doshi, Ojas Prakashbhai, Doshi, Rajkumar Prakashbhai, Douiri, Abdel, Dowou, Robert Kokou, Dsouza, Ashel Chelsea, Dsouza, Haneil Larson, Dsouza, Viola Savy, Duncan, Bruce B, Duraes, Andre Rodrigues, Dziedzic, Arkadiusz Marian, Ekholuenetale, Michael, El Bayoumy, Ibrahim Farahat, El Sayed Zaki, Maysaa, Elbarazi, Iffat, El-Dahiyat, Faris, Elgendy, Islam Y, Elhadi, Muhammed, El-Huneidi, Waseem, Elmonem, Mohamed A, Elmoselhi, Adel B, Eltaha, Chadi, Emeto, Theophilus I, Esezobor, Christopher Imokhuede, Esfandiari, Negin, Esmaeili, Zahra, Esposito, Francesco, Etoom, Mohammad, Fabin, Natalia, Fadhil, Ibtihal, Fagbamigbe, Adeniyi Francis, Fagbule, 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Zaman, Burhan Abdullah, Zaman, Sojib Bin, Zanghì, Aurora, Zare, Iman, Zarimeidani, Fatemeh, Zarrintan, Armin, Zastrozhin, Michael, Zemedikun, Dawit, Zeng, Youjie, Zhang, Beijian, Zhang, Haijun, Zhang, Liqun, Zhang, Yunquan, Zhang, Zhiqiang, Zhao, Hanqing, Zhong, Claire Chenwen, Zhou, Shang Cheng, Zhu, Bin, Zhu, Lei, Zhumagaliuly, Abzal, Ziafati, Makan, Zielińska, Magdalena, Zikarg, Yossef Teshome, Zoghi, Ghazal, Zyoud, Sa'ed H, Zyoud, Samer H, Johnson, Catherine O, Roth, Gregory A, Nair, Balakrishnan Sukumaran, Rautalin, Ilari, Bhati, Anjali, Bisignano, Catherine, Vos, Theo, and Murray, Christopher J L

Published
2024
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50. Performance and effectiveness of hepatocellular carcinoma screening in individuals with HBsAg seropositivity in China: a multicenter prospective study

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Zeng, Hongmei, Cao, Maomao, Xia, Changfa, Wang, Dongmei, Chen, Kun, Zhu, Zheng, Fu, Ruiying, Zhang, Shaokai, Zhou, Jinyi, Wang, Huadong, Qi, Xianyun, Dai, Shuguang, Chen, Yong, Sun, Zhong, Ding, Hao, Li, Qingwen, Zhao, Hui, Zhang, Xuehong, Morze, Jakub, Ji, John S., Sun, Feng, Yu, Xueqin, Qu, Chunfeng, and Chen, Wanqing

Published
2023
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