Article
Chemistry, Multidisciplinary
Seongkwon Jeong, Jaejin Lee
Summary: This study investigates the electronic structure and magnetic properties of potential two-dimensional material MnPS3 using density functional theory. The results reveal its semiconductor nature and antiferromagnetic properties, providing a theoretical basis for its applications in electronic and magnetic devices.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Electrical & Electronic
Seongkwon Jeong, Jaejin Lee
Summary: In this study, a bit-flipping scheme using the K-means algorithm for bit-patterned media recording (BPMR) system is proposed to increase the areal density of hard disk drives. The scheme reduces the distance between islands storing 1 bit and utilizes neighboring information to improve performance.
IEEE TRANSACTIONS ON MAGNETICS
(2022)
Article
Engineering, Electrical & Electronic
Seongkwon Jeong, Jaejin Lee
Summary: The study proposes using extrinsic information obtained from an MLP equalizer to improve the detection performance of BPMR in PRML detector, showing better performance compared to both MLP equalizer and conventional PRML alone. The proposed detector also provides improved performance when track misregistration occurs.
IEEE TRANSACTIONS ON MAGNETICS
(2021)
Article
Chemistry, Multidisciplinary
Thien An Nguyen, Jaejin Lee
Summary: Bit-patterned media recording (BPMR) is a promising technology for increasing the areal density (AD) of magnetic data storage systems. In this study, the maximum a posteriori (MAP) algorithm is proposed to improve the serial detection method and address the issues of 2D interference and track mis-registration (TMR) in BPMR.
APPLIED SCIENCES-BASEL
(2022)
Article
Nanoscience & Nanotechnology
S. Sokjabok, M. Mattayakan, C. Buajong, S. Koonkarnkhai, P. Kovintavewat, C. Warisarn
Summary: The reduction in track width of ultra-high density magnetic recording leads to an increase in areal density, but also brings about severe inter-symbol interference and inter-track interference. To address these issues, a single-reader/two-track reading technique and constrained coding schemes are proposed, showing superior performance in mitigating ISI and ITI effects compared to conventional systems.
Article
Chemistry, Multidisciplinary
Seongkwon Jeong, Jaejin Lee
Summary: This study proposes a modulation decoding method based on the K-means algorithm to improve decoding capabilities in bit-patterned media recording systems. Increasing the areal density makes it more difficult to detect data due to the influence of intersymbol interference (ISI) and intertrack interference (ITI), but modulation coding can prevent severe ISI and ITI caused by specific data patterns.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Electrical & Electronic
Srikant Kumar Mohanty, Poshan Kumar Reddy, Om Kumar Prasad, Chien-Hung Wu, Kow-Ming Chang, Jia-Chuan Lin
Summary: This work demonstrates the achievement of 3-bit per cell storage capability in AlN/AlO memristors through interface engineering, showcasing seven distinct high resistance states and one low resistance state by controlling reset-stop voltage, as well as six resistance states with reliability and reproducibility by varying set compliance current.
IEEE ELECTRON DEVICE LETTERS
(2021)
Article
Chemistry, Physical
Yuhui Wang, Ying Zheng, Ziyi Zhong, Zijun Wang, Yongfeng Liang, Pingping Wu
Summary: The magnetic properties of a core-shell type exchange coupled composite structure were studied using micromagnetic simulation. Switching loops with magnetic domain structure evolution were demonstrated and a switching type diagram was constructed. The effects of switching type and composite structure on coercivity and remanent magnetization were predicted and discussed. The core-shell type FePt/Fe composite structure film was found to have a significant advantage in designing high-density storage devices at the nanoscale.
Article
Chemistry, Multidisciplinary
Gyuyeol Kong, Minchae Jung
Summary: This paper proposes a tabu search aided multi-track detection scheme for bit patterned magnetic recording. The proposed scheme adopts a simplified multi-track detector with a two-dimensional generalized partial response target, uses a priori information, and employs a reliability test and a tabu search detector. The proposed scheme processes signals in three stages, and achieves better performance compared to conventional schemes.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Thien An Nguyen, Jaejin Lee
Summary: Bit-patterned media recording (BPMR) is proposed as a candidate solution for addressing superparamagnetism issues in magnetic data storage. This study focuses on reducing the distance between magnetic islands in BPMR to increase the areal density, while also addressing the increased two-dimensional interference. A new estimator based on the 2D Viterbi algorithm (VA) with reduced states is proposed to predict interference from neighboring tracks. Simulation results demonstrate the superiority of this model compared to previous models.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Thien An Nguyen, Jaejin Lee
Summary: This article examines a new distribution of bit-patterned media recording called staggered BPMR. By dividing the interference into three parts and using three one-dimensional detectors, the proposed model improves the detection performance of the main data. Simulation results demonstrate that this model outperforms previous studies.
Article
Chemistry, Multidisciplinary
Thien An Nguyen, Jaejin Lee
Summary: Ultra-high density data storage, specifically using bit-pattern media recording (BPMR), is crucial due to the increasing volumes of data. A neural network model for noise prediction has been proposed to improve the performance of serial detection, resulting in approximately 1 dB gain in bit error rate (BER) compared to the model with a feedback line.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Seongkwon Jeong, Jaejin Lee
Summary: In this article, a TMR estimator based on the K-means algorithm is proposed to estimate the TMR levels and prevent performance degradation in the BPMR system. The estimator calculates the distances between the centroid of the readback signal and predetermined centroids according to the TMR level. The proposed detection scheme performs better by approximately 1 dB compared to conventional detection at a bit error rate of 10(-3) and TMR of 10%.
IEEE TRANSACTIONS ON MAGNETICS
(2023)
Article
Physics, Multidisciplinary
Wei Chen, Jincai Chen, Zongsong Gan, Yaxiong Ma, Ke Luo, Zhenxing Huang, Yang He, Ping Lu
Summary: The semi-circle resonator system proposed as the light delivery system for HAMR can provide a stable enhanced optical field to excite the localized surface plasmon of NFT without complex focusing lenses or external controls. Combined with bit-patterned media, the performance can be improved several times than the thin-film structure.
Article
Chemistry, Analytical
Pirat Khunkitti, Naruemon Wannawong, Chavakon Jongjaihan, Apirat Siritaratiwat, Anan Kruesubthaworn, Arkom Kaewrawang
Summary: This study introduces exchange-coupled composite bit-patterned media (ECC-BPM) combined with microwave-assisted magnetic recording (MAMR) to enhance the writeability of magnetic media at a recording density of 4 Tb/in^2. By evaluating the suitable microwave field frequency and exchange coupling values between magnetic dots in the proposed media, significant reductions in switching field were achieved compared to conventional media, further decreased by utilizing MAMR technology.
Correction
Chemistry, Multidisciplinary
Ze-an Zhao, Yu Jiang, Yan-yu Chen, Ting Wu, Qun-sheng Lan, Yong-mei Li, Lu Li, Yang Yang, Cui-ting Lin, Ying Cao, Ping-zheng Zhou, Jia-yin Guo, Yuan-xin Tian, Jian-xin Pang
ACTA PHARMACOLOGICA SINICA
(2022)
Correction
Engineering, Biomedical
Zhe Wang, Xinyuan Wang, Yuan Tian, Jia Pei, Jian Zhang, Chang Jiang, Junming Huang, Zhiying Pang, Yuanwu Cao, Xiuhui Wang, Senbo An, Xiao Wang, Hua Huang, Guangyin Yuan, Zuoqin Yan
Article
Biochemical Research Methods
Yu Zhang, Jian He, Xiao Tang, Zunjian Zhang, Yuan Tian
Summary: A highly sensitive LC-MS/MS method was developed and applied to simultaneously detect SV and SVA in beagle plasma for an absolute bioavailability study. The method demonstrated good accuracy, precision, extraction recovery, matrix effect, and stability. The absolute bioavailability of SV and SVA in beagles were 2.97% and 25.40%, respectively.
BIOMEDICAL CHROMATOGRAPHY
(2022)
Article
Food Science & Technology
Jin-Yi Yang, Mei-Chan Xie, Xue-Cai Tan, Yuan-Xin Tian, Hong Wang, Zhen-Lin Xu, Ting-Ting Yuan, Yi-Mei Xiao, Yu-Dong Shen
Summary: This study explored the rationality of haptens using computational chemistry and molecular simulation theories, and established an immunological assay method for detecting tadalafil-like adulterants. The method has a low limit of detection and a wide working range, and shows good correlation with the HPLC-MS/MS method.
JOURNAL OF FOOD SCIENCE
(2022)
Article
Chemistry, Analytical
Siyuan Qin, Yuxin Zhang, Yuan Tian, Fengguo Xu, Pei Zhang
Summary: Metabolomics, a technique profiling global small molecules in biological samples, has become crucial for disease diagnosis and mechanism research. Organelles in cells, where diverse metabolic activities happen orderly, play a significant role in various pathological conditions. Characterizing the metabolic pool in compartmentalized system is important for understanding the role of organelles in physiological functions and diseases.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2022)
Article
Chemistry, Organic
Wei-Zhuo Tang, Yuan Tian, Shu-Wen Dai, Ao Zhang, Cui-Xian Zhang, Fan Yang, Hui-Min Zhao, Hou-Wen Lin
Summary: Three new merosesquiterpenoids were isolated from a marine sponge and characterized using NMR spectroscopy and HRESIMS. One of the compounds exhibited moderate antifungal activity against three human pathogens.
TETRAHEDRON LETTERS
(2022)
Article
Biochemistry & Molecular Biology
Yuan Tian, Hongtao Liu, Caiqing Zhang, Wei Liu, Tong Wu, Xiaowei Yang, Junyan Zhao, Yuping Sun
Summary: This study explores the implications of ferroptosis-related alterations in glioblastoma patients. By analyzing the expression differences of ferroptosis-related genes and constructing a risk score predicting model containing 23 genes, the study found that the model had a high predictive value for glioblastoma.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2022)
Article
Environmental Sciences
Zhenzhen Xie, Jing Tan, Guanghong Fang, Honglei Ji, Maohua Miao, Yuan Tian, Hui Hu, Wencheng Cao, Hong Liang, Wei Yuan
Summary: Findings from this study suggest that prenatal exposure to multiple PFASs may have some effects on neurobehavioral development in children, but there is no clear evidence of negative effects. However, the modest associations found still suggest the potential developmental neurotoxicity of prenatal PFAS exposure.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2022)
Article
Computer Science, Artificial Intelligence
Yuan Tian, Yichao Yan, Guangtao Zhai, Guodong Guo, Zhiyong Gao
Summary: Efficiently modeling spatial-temporal information in videos for action recognition is crucial. This paper proposes a unified action recognition framework that adapts to the dynamic nature of video content by introducing dynamic-scale spatial-temporal kernels and sparse interactions among selected foreground objects. The framework also includes a novel latent motion code module to improve performance.
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2022)
Review
Oncology
Yuan Tian, Chi Zhang, Qi Dang, Kaiyong Wang, Qian Liu, Hongmei Liu, Heli Shang, Junyan Zhao, Yuedong Xu, Tong Wu, Wei Liu, Xiaowei Yang, Mohammed Safi
Summary: This study conducted a systematic review and meta-analysis to explore the incidence risk of immune-related rash associated with PD-1 or PD-L1 inhibitors. The results showed that the use of these inhibitors increased the risk of developing rash, particularly when used with chemotherapy or as second-line options.
JOURNAL OF ONCOLOGY
(2022)
Article
Psychology, Educational
Yamei Zhang, Yuan Tian, Liangshuang Yao, Changying Duan, Xiaojun Sun, Gengfeng Niu
Summary: This study examined the effect of teaching presence on cyberloafing and its underlying mechanisms. The results showed that teaching presence was negatively associated with cyberloafing. Social presence, cognitive presence, and lack of attention mediated this relationship, with negative sequential mediating effects. Normative influence further exacerbated the negative effects of cognitive presence and lack of attention, as well as the positive effect of social presence on cyberloafing.
BRITISH JOURNAL OF EDUCATIONAL PSYCHOLOGY
(2022)
Article
Biochemical Research Methods
Yanru Ding, Nan Zhang, Junqi Zhao, Haiyang Lv, Xu Wang, Bing Zhao, Yuan Tian
Summary: A surface-enhanced Raman scattering (SERS) strategy was developed for the determination of antihypertensive drugs irbesartan (IRB) and doxazosin mesylate (DOX). This strategy utilized beta-cyclodextrin-capped silver nanoparticles as the SERS-active substrate to enhance the Raman signal of drug molecules. The method showed a linear response range and low limits of detection for both IRB and DOX. It was also successfully applied to determine these drugs in various samples such as drug tablets, healthcare products, and human urine.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian
Summary: The ability to separate signal from noise and reason with clean abstractions is crucial for intelligence. This work proposes a method of learning a Denoised MDP that categorizes and factors out certain noise distractors, leading to superior performance in various tasks.
INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao
Summary: This study compares the practical differences between LSTM and Transformers in natural language processing tasks and proposes an explanation based on their latent space decomposition patterns. The experimental results show that LSTM models have difficulty capturing stack and stack operations, while Transformers are less affected.
THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Xiao Wang, Haoqi Fan, Yuandong Tian, Daisuke Kihara, Xinlei Chen
Summary: This work studies the importance of asymmetry in visual representation learning and finds that keeping a relatively lower variance in target than source benefits learning. The improvements from asymmetric designs generalize well to longer training schedules, multiple other frameworks, and newer backbones. Finally, the combined effect of several asymmetric designs achieves state-of-the-art accuracy on ImageNet linear probing.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022)
(2022)
