Article
Biochemistry & Molecular Biology
Ajanta Chatterji, Arne Holmgren, Rajib Sengupta
Summary: Ribonucleotide reductases play a crucial role in DNA synthesis and are essential for maintaining cellular functions. Research suggests that S-glutathionylation can regulate RNR activity, with studies exploring deglutathionylation mechanisms. Additionally, the study revealed the role of S-glutathionylation in DNA damage and repair processes.
MOLECULAR BIOLOGY REPORTS
(2021)
Article
Engineering, Multidisciplinary
Lingxiao Yuan, Harold S. Park, Emma Lejeune
Summary: There has been an increased interest in applying data driven methods to mechanics problems, with a focus on predictive modeling and design of materials. However, traditional machine learning methods can be sensitive to data distribution shifts and violate the assumption of independent and identically distributed data. Out-of-distribution (OOD) generalization methods have been proposed to address this issue, but their performance on regression problems in mechanics is yet to be explored. This study investigates OOD generalization methods for mechanics-specific regression problems and suggests the need for more robust methods that can handle multiple OOD scenarios.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Nanoscience & Nanotechnology
Cai-Syuan Fu, Chih-Hsien Cheng, Cheng-Hsuan Hsieh, Huai-Yung Wang, Cheng-Ting Tsai, Yu-Chieh Chi, Gong-Ru Lin
Summary: Demonstration of all-optical phase-shift-keying (PSK) data conversion beyond 10 Gbit/s using a carbon-doped silicon carbide (SiC:C) waveguide microring resonator with the nonlinear Kerr effect switching. The nonlinear Kerr switching leads to enhanced signal-to-noise ratio (SNR) of the converted amplitude-shift keying (ASK) data. The conversion between ASK and PSK modulation formats is achieved through nonlinear phase variation in the SiC:C microring. By combining microring-based delay-line interference, demodulated PSK data achieves received SNR, extinction ratio, and bit-error ratio.
Article
Chemistry, Inorganic & Nuclear
Jie Chen, Xun He, Jun Li, Xiuhong Li, Zhengwei Cai, Yongsong Luo, Dongdong Zheng, Tingshuai Li, Yan Wang, Qian Liu, Shengjun Sun, Asmaa Farouk, Mohamed S. S. Hamdy, Xuping Sun, Binwu Ying
Summary: A high-performance catalyst for electrochemical nitrate reduction to ammonia is reported, which removes nitrate pollutants and converts them into economically valuable ammonia. The catalyst is a three-dimensional porous Co foam with nanosheet subunits supported on a Ti plate, constructed by hydrogen bubble template assisted electrodeposition, showing exceptional electrocatalytic performance.
INORGANIC CHEMISTRY FRONTIERS
(2023)
Article
Biology
Samantha D. M. Arras, Nellie Sibaeva, Ryan J. Catchpole, Nobuyuki Horinouchi, Dayong Si, Alannah M. Rickerby, Kengo Deguchi, Makoto Hibi, Koichi Tanaka, Michiki Takeuchi, Jun Ogawa, Anthony M. Poole
Summary: Life requires ribonucleotide reduction for de novo synthesis of deoxyribonucleotides. We created a strain of Escherichia coli where all three ribonucleotide reductase operons have been deleted and introduced a deoxyribonucleoside kinase from Mycoplasma mycoides, allowing the strain to grow in the presence of deoxyribonucleosides. Mutations in deoB and cdd reduce or eliminate the capacity for an alternative pathway to catabolize deoxyribonucleotides, suggesting the adaptation to life without ribonucleotide reduction.
Article
Computer Science, Artificial Intelligence
Feiyang Cai, Ali Ozdagli, Xenofon Koutsoukos
Summary: This paper investigates the application of learning-enabled components in Cyber-Physical Systems and addresses the issue of Out-Of-Distribution (OOD) data. It proposes an approach that utilizes variational autoencoder and the Inductive Conformal Anomaly Detection framework to effectively detect OOD data, and the experimental results validate its effectiveness and real-time capability.
APPLIED ARTIFICIAL INTELLIGENCE
(2022)
Article
Chemistry, Multidisciplinary
Rajib Sengupta, Lucia Coppo, Esha Sircar, Pradeep Mishra, Arne Holmgren
Summary: The S-nitrosylation of the R1 subunit inhibits RNR catalysis, while denitrosylation or an externally supplied peptide containing vicinal dithiols can restore enzyme activity. The Trx system is necessary for regeneration of oxidized vicinal dithiols in the C-terminal tail/peptide, highlighting the importance of C-terminal vicinal dithiols in regenerating the RNR activity of S-nitrosylated R1 subunits.
Article
Biochemistry & Molecular Biology
Surupa Chakraborty, Prerona Mukherjee, Rajib Sengupta
Summary: Ribonucleotide reductase (RNR) is a crucial enzyme involved in DNA synthesis and repair, with potential implications in cancer development. Recent research has highlighted the significant role of NO in RNR inhibition, aiding in the development of new drugs and therapies.
NITRIC OXIDE-BIOLOGY AND CHEMISTRY
(2022)
News Item
Biochemistry & Molecular Biology
Paulo Onuchic, Steven Boeynaems
Summary: A modular platform has been developed for generating designer condensates with adjustable material properties for selective partitioning. These programmable assemblies can control bacterial plasmid expression and inheritance, and have wide applications including in eukaryote systems.
NATURE CHEMICAL BIOLOGY
(2023)
Article
Energy & Fuels
Wenzhe Chen, Kangli Liu, Jianfeng Zhao, Cheng Jin
Summary: This paper proposes a disturbance-observer-based control approach for LLC resonant converters, which achieves better performance compared with the conventional PI controller. The approach incorporates a disturbance observer to estimate and compensate for uncertain effects resulting from external disturbances, circuit parameters variation, and model mismatch in a feedforward way. The main advantage of this control structure is that it can improve stability and dynamic response simultaneously.
Article
Computer Science, Artificial Intelligence
Camila Gonzalez, Karol Gotkowski, Moritz Fuchs, Andreas Bucher, Armin Dadras, Ricarda Fischbach, Isabel Jasmin Kaltenborn, Anirban Mukhopadhyay
Summary: This article presents a method for automatically segmenting ground glass opacities and consolidations in chest CT scans. The method leverages the Mahalanobis distance in the feature space for OOD detection and seamlessly integrates into the segmentation pipeline. The results demonstrate that the method effectively detects OOD samples in different scenarios.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Optics
Zhouxuan He, Hubing Du, Feifei Gu, Bingqing Hu, Feng Wang, Zixin Zhao, Gaopeng Zhang
Summary: This study proposes an improved two-shot random phase-shifting interferometry method that leverages an iterative approach to handle spatially varying background intensity and modulation amplitude. The method allows for reliable phase extraction without pre-filtering.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Optics
Jianhua Wang, Yanxi Yang, Peng Xu
Summary: We propose a method for reconstructing non-diffuse surfaces based on the pi-phase-shifted two-plus-one phase-shifting method. By introducing new pi-phase-shifted fringe patterns and corresponding phase calculation formulas, the phase error is significantly reduced.
CHINESE OPTICS LETTERS
(2023)
Article
Engineering, Environmental
Shuming Li, Yuzhe Wang, Yu Ding, Yu He, Yuyang Zhang, Shuni Li, Jing Zhang, Yu Chen
Summary: The synthesis of carbon-based metal-free catalysts with high electroactivity for the oxygen reduction reaction is a challenge, but the hollow N-doped carbon nanoflowers synthesized in this study show promising results in terms of activity, stability, and methanol tolerance compared to benchmark catalysts like Pt/C.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Hongchang Li, Shuxin Chen, Jingyang Fang, Kangping Wang
Summary: This study presents a method for achieving closed-loop maximum efficiency point tracking control of WPT using FMPSK communication technology, which optimizes power transmission efficiency by using shallow phase modulation depth and precise frequency modulation and demodulation.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)