Review
Mathematics, Applied
Stephane Victor, Kendric Ruiz, Pierre Melchior, Serge Chaumette
Summary: Unmanned Aerial Vehicle (UAV) applications have increased significantly in recent years. Real-time trajectory planning is necessary for autonomous UAVs, and artificial potential fields are used to achieve this. A new dynamical fractional repulsive potential field is proposed, which takes into account both obstacle dynamics (position and speed) and their degree of dangerousness. The method guarantees robust obstacle avoidance and trajectory optimization.
FRACTIONAL CALCULUS AND APPLIED ANALYSIS
(2022)
Article
Biochemistry & Molecular Biology
Andrew Michael Asberry, Sheng Liu, Hye Seung Nam, Xuehong Deng, Jun Wan, Chang-Deng Hu
Summary: This study provides insights into the mechanisms of neuroendocrine differentiation (NED) in response to androgen signaling inhibitors (ASI) therapy for prostate cancer. By examining the transcriptional changes at a single-cell level, the researchers identified the activation of neuroendocrine-associated pathways and the loss of canonical androgen receptor signaling activity. This model system can be used to screen potential therapeutic agents for preventing or reversing ASI-induced NED.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Michele Braccini, Andrea Roli, Marco Villani, Roberto Serra
Summary: In this study, a control mechanism inspired by methylation mechanisms in cell differentiation was explored to exert influence on random Boolean networks. It was found that when applied to these networks, the mechanism enabled the attainment of dynamics and path dependence typical of biological cells undergoing differentiation.
Article
Chemistry, Physical
Duncan Bossion, Sutirtha N. Chowdhury, Pengfei Huo
Summary: The new NRPMD method, based on the spin mapping formalism, demonstrates numerical accuracy and advantages in computing nuclear position and population auto-correlation functions of non-adiabatic model systems. It provides efficient sampling of quantum statistics and nearly time-independent expectation values for physical observables.
JOURNAL OF CHEMICAL PHYSICS
(2021)
Article
Multidisciplinary Sciences
Wei Wei, Daniel J. Gaffney, Patrick F. Chinnery
Summary: Analysis of mtDNA in a large number of iPSC lines reveals that iPSC-specific mutations affect a higher proportion of mtDNA molecules, favoring non-synonymous protein-coding and tRNA variants. Additionally, stable heteroplasmy in mtDNA variants during cell differentiation influences mitochondrial metabolism and cell differentiation.
NATURE COMMUNICATIONS
(2021)
Article
Cell & Tissue Engineering
Christian M. Nefzger, Thierry Jarde, Akanksha Srivastava, Jan Schroeder, Fernando J. Rossello, Katja Horvay, Mirsada Prasko, Jacob M. Paynter, Joseph Chen, Chen-Fang Weng, Yu B. Y. Sun, Xiaodong Liu, Eva Chan, Nikita Deshpande, Xiaoli Chen, Y. Jinhua Li, Jahnvi Pflueger, Rebekah M. Engel, Anja S. Knaupp, Kirill Tsyganov, Susan K. Nilsson, Ryan Lister, Owen J. L. Rackham, Helen E. Abud, Jose M. Polo
Summary: The impact of aging on intestinal stem cells is not fully understood. This study identified widespread epigenetic and transcriptional alterations in old ISCs. Key transcription factors were identified that drive molecular and functional differences between old and young states. These findings contribute to enhancing the regenerative capacity of intestinal stem cells.
NPJ REGENERATIVE MEDICINE
(2022)
Article
Physics, Multidisciplinary
Yuuki Matsushita, Tetsuhiro S. Hatakeyama, Kunihiko Kaneko
Summary: Cellular reprogramming involves erasing epigenetic memories of differentiated cells to regain pluripotency, achieved by overexpressing a few genes. The interplay between oscillatory gene expression and slower epigenetic modifications is perceived as a global attraction in this process.
PHYSICAL REVIEW RESEARCH
(2022)
Article
Multidisciplinary Sciences
Yao Wang, Chuan Tong, Hanren Dai, Zhiqiang Wu, Xiao Han, Yelei Guo, Deyun Chen, Jianshu Wei, Dongdong Ti, Zongzhi Liu, Qian Mei, Xiang Li, Liang Dong, Jing Nie, Yajing Zhang, Weidong Han
Summary: The study demonstrates that pre-treatment of CAR T cells with a DNA methyltransferase inhibitor enhances anti-tumor activities, cytokine production, and proliferation, allowing for effective eradication of tumors at low doses and improved response to tumor rechallenge.
NATURE COMMUNICATIONS
(2021)
Review
Pharmacology & Pharmacy
Christopher R. Neil, Michael W. Seiler, Dominic J. Reynolds, Jesse J. Smith, Frederic H. Vaillancourt, Peter G. Smith, Anant A. Agrawal
Summary: The production of mature mRNA requires coordination of multiple processing steps, which control its content, localization, and stability. Recent advances in understanding the underlying mechanisms have led to a new wave of therapeutics seeking to target RNA processing, offering the potential for sequence-specific resolution in drug design.
TRENDS IN PHARMACOLOGICAL SCIENCES
(2022)
Article
Operations Research & Management Science
B. Djafari Rouhani, H. Khatibzadeh, M. Rahimi Piranfar, J. Rooin
Summary: The paper investigates the asymptotic behavior of solutions to a second-order equation involving quasi-nonexpansive operators and continuously differentiable quasiconvex functions, proving weak and strong convergence of solutions and obtaining similar results for the discrete version of the equation. The results are applied to solving a minimization problem and approximating common fixed points of two mappings, extending some previous works in the field.
Article
Physics, Fluids & Plasmas
Anna Frishman, Tobias Grafke
Summary: The transition to turbulence in pipes is characterized by a coexistence of laminar and turbulent states. At the lower end of the transition, localized turbulent pulses, called puffs, can be excited. Puffs can decay when rare fluctuations drive them close to an edge state lying at the phase-space boundary with laminar flow. At higher Reynolds numbers, homogeneous turbulence dominates over laminar flow. This study completes the landscape of localized states and suggests the existence of an antipuff and a related edge state called gap-edge, which mirror the puff and edge state. The observations of laminar gaps forming within homogeneous turbulence can be identified as antipuffs nucleating and decaying through the gap edge. The study also discusses alternative bifurcation diagrams that may be relevant for wall-bounded flows other than straight pipes.
Article
Biochemical Research Methods
Jia Ping Tan, Xiaodong Liu, Jose M. Polo
Summary: This article describes a method for reprogramming human fibroblasts into induced trophoblast stem cells, along with steps for their molecular and functional characterization.
Article
Chemistry, Multidisciplinary
Ling Tao, Myrthala Moreno-Smith, Rodrigo Ibarra-Garcia-Padilla, Giorgio Milazzo, Nathan A. Drolet, Blanca E. Hernandez, Young S. Oh, Ivanshi Patel, Jean J. Kim, Barry Zorman, Tajhal Patel, Abu Hena Mostafa Kamal, Yanling Zhao, John Hicks, Sanjeev A. Vasudevan, Nagireddy Putluri, Cristian Coarfa, Pavel Sumazin, Giovanni Perini, Ronald J. Parchem, Rosa A. Uribe, Eveline Barbieri
Summary: This study shows that CHAF1A gain-of-function supports cell malignancy, blocks neuronal differentiation, and promotes NB oncogenesis. Mechanistically, CHAF1A upregulates polyamine metabolism, which blocks neuronal differentiation and promotes cell cycle progression.
Article
Engineering, Mechanical
Jiahui Peng, Liang Wang, Bochen Wang, Kangkang Jing, Wei Xu
Summary: An extended path integration method is proposed to obtain the stochastic response of systems with multiple non-smooth events. The concept of ordered non-smooth events set and a regular mapping based on continuity in time and space are introduced to handle multiple non-smooth events uniformly. The novel results on constraints obtained by the extended path integration algorithm are demonstrated using Duffing vibro-impact systems with various bilateral constraints.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Multidisciplinary Sciences
Wenshu Zeng, Lu Yue, Kim S. W. Lam, Wenxin Zhang, Wai-Kin So, Erin H. Y. Tse, Tom H. Cheung
Summary: This study reveals massive proteomic changes during the transition from quiescence to activation in skeletal muscle stem cells and identifies Cytoplasmic Polyadenylation Element Binding protein 1 (CPEB1) as a key regulator of protein translation during stem cell activation, providing important insights into the mechanisms of stem cell activation and muscle regeneration.
NATURE COMMUNICATIONS
(2022)
Article
Energy & Fuels
Qiang Li, Congrong Lu, Chunhe Li, Kuankuan Ren, Bo Yao, Haitao Xu, Shiyan Liu, Yongsheng Tan, Weidong Dou, Zebo Fang
Summary: A new method of growing pure perovskite alpha-FAPbI(3) film through electrodeposited lead dioxide (PbO2) is proposed to solve the problem of non-perovskite yellow phase delta-FAPbI(3) formation, leading to an improved power conversion efficiency of perovskite solar cells.
Review
Chemistry, Physical
Kuankuan Ren, Shizhong Yue, Chunhe Li, Zebo Fang, Khaled A. M. Gasem, Jerzy Leszczynski, Shengchun Qu, Zhijie Wang, Maohong Fan
Summary: This article provides an overview of metal halide perovskite materials, including their basic properties, different compositions, recent progress in enhancing photocatalytic performance, and critical review of challenges and prospects. It aims to serve as a valuable reference for the rational utilization of perovskite materials and to drive further application of perovskite-based photocatalysts in various artificial photoredox reactions.
JOURNAL OF MATERIALS CHEMISTRY A
(2022)
Editorial Material
Biochemistry & Molecular Biology
Nika Shakiba, Chunhe Li, Jordi Garcia-Ojalvo, Kwang-Hyun Cho, Kiran Patil, Aleksandra Walczak, Yang-Yu Liu, Seppe Kuehn, Qing Nie, Allon Klein, Gustavo Deco, Morten Kringelbach, Srividya Iyer-Biswas
Review
Endocrinology & Metabolism
Zhenzhen Zheng, Chaoyu Wang, Chunhe Li, Qinglan Wu, Xiaojuan Chen, Huimin Chen, Huizhao Liao, Jinru Zhu, Junyan Lin, Xudong Ou, Zhihong Zou, Jinhua Liang, Riken Chen
Summary: Sleep quality and duration, including both low quality and long duration, are significantly associated with the risk of diabetic retinopathy (DR). Low sleep quality and long sleep duration increase the risk of DR, while short sleep duration is also associated with the occurrence of DR.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Chemistry, Physical
Chunhe Li, Shunyi Shan, Kuankuan Ren, Weidong Dou, Chunqing He, Pengfei Fang
Summary: In this work, ZnCo2S4/Zn0.2Cd0.8S nanocomposites were synthesized and demonstrated to be bifunctional photocatalysts for efficient H2 production and synthesis of high-value-added benzaldehyde. The enhanced photocatalytic performance is attributed to the Z-scheme heterojunction between ZnCo2S4 and Zn0.2Cd0.8S, which promotes the separation and transfer of photogenerated charge carriers.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
Qiang Li, Yanhong Xiang, Ren Zheng, Chunhe Li, Kuankuan Ren, Bo Yao, Haitao Xu, Shiyan Liu, Yongsheng Tan, Zebo Fang
Summary: Studying the crystallization process of FAPbI3 film is crucial for improving the performance of perovskite solar cells, and the annealing time plays a key role in controlling the nucleation and crystal growth. In this study, a pure alpha-FAPbI3 perovskite film was successfully grown through precise manipulation of the annealing time in the electrodeposition-assisted method. The resulting perovskite film exhibited high solar light absorption capacity and large grains, leading to the best power conversion efficiency (PCE) of 13.33% for the corresponding alpha-FAPbI3 solar cells.
Article
Chemistry, Physical
Qiufeng Ye, Wenzheng Hu, Yunxiao Wei, Junchi Zhu, Bo Yao, Kuankuan Ren, Chunhe Li, Biyun Shi, Tie Li, Feng Ye, Zebo Fang
Summary: A versatile method of constructing a surface multi-cationic heterojunction is introduced to achieve an efficient and stable CsPbI1.5Br1.5 perovskite solar cell. The heterojunction layer can effectively passivate surface defects, reduce optical loss, improve energy-level alignment, and reduce interfacial charge recombination loss. The resulting solar cell exhibits a PCE of 14.11% and retains 85% of its initial efficiency after 1000 hours of storage.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2023)
Review
Optics
Kuankuan Ren, Chunhe Li, Zebo Fang, Fei Feng
Summary: Electrically pumped nanolasers have achieved exciting achievements in optoelectronic chips, information storage, and biosensing, and show great potential for various applications. However, there is a lack of in-depth and comprehensive review on the recent development of electrically pumped nanolasers. In this review, a detailed overview of electrically pumped nanolasers is provided, including single nanolaser, nanoarray lasers, nanobeam lasers, and plasmonic nanolasers with different cavity structures. The challenges and problems restricting their development are summarized, along with proposed solutions and development directions. This review will provide valuable insights for optimizing the device structure of electrically pumped nanolasers with new high-gain semiconductor materials and further promote their rapid application development.
LASER & PHOTONICS REVIEWS
(2023)
Article
Biochemical Research Methods
Feng Chen, Yubo Bai, Chunhe Li
Summary: In this study, we proposed a data-driven approach to estimate non-equilibrium transition rate, combining kernel density estimation and non-equilibrium transition rate theory. Our approach showed superior performance in estimating transition rate from data compared to previous methods, due to the introduction of a nonparametric density estimation method and consideration of flux effects in determining the new saddle point. We demonstrated the practical validity of our approach by applying it to a simplified cell fate decision model and a high-dimensional stem cell differentiation model. Our approach can be applied to other biological and physical systems.
BRIEFINGS IN BIOINFORMATICS
(2023)
Article
Mathematics, Applied
Shirui Bian, Yunxin Zhang, Chunhe Li
Summary: The energy landscape theory is widely used to study the stochastic dynamics of biological systems. In this work, we demonstrate that the weighted Gaussian approximation (WSGA) provides an effective way to calculate the energy landscape for multistable systems and limit cycle systems. We also propose an extended Gaussian approximation (EGA) approach that considers the effects of the third moments and provides a more accurate way to obtain the probability distribution and corresponding landscape.
Article
Biochemical Research Methods
Leijun Ye, Jianfeng Feng, Chunhe Li
Summary: By studying a large-scale macaque model, we quantified the energy landscape of working memory and found that brain-wide state switching and landscape change are crucial for working memory function. The kinetic transition path reveals that information flow follows a hierarchical structure. We propose a landscape control approach to manipulate brain state transition by modulating external stimulation or inter-areal connectivity, highlighting the important roles of associative areas, especially prefrontal and parietal cortical areas, in working memory performance. Our findings provide new insights into the dynamical mechanism of cognitive function and help develop therapeutic strategies for brain disorders.
PLOS COMPUTATIONAL BIOLOGY
(2023)
Article
Chemistry, Physical
Qiufeng Ye, Wenzheng Hu, Yunxiao Wei, Junchi Zhu, Bo Yao, Kuankuan Ren, Chunhe Li, Biyun Shi, Tie Li, Feng Ye, Zebo Fang
Summary: A versatile method is introduced to construct a surface multi-cationic heterojunction for efficient and stable CsPbI1.5Br1.5 perovskite solar cells. The heterojunction layer effectively passivates surface defects, reduces optical loss, improves energy-level alignment, and reduces charge recombination loss. The champion device achieves a PCE of 14.11% and retains 85% of the initial efficiency after 1000 h of storage.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2023)
Article
Genetics & Heredity
Feng Chen, Chunhe Li
Summary: In this study, the challenges of reconstructing gene regulatory networks (GRNs) from data are tackled using deep neural networks (DNNs). The results show that DNN is superior to existing approaches for network inference and can successfully reconstruct the underlying regulatory networks for different systems. Additionally, the study demonstrates how DNN can unravel complex cell fate dynamics and proposes a data-driven method for quantifying the energy landscape of gene regulatory systems.
NAR GENOMICS AND BIOINFORMATICS
(2022)
Article
Chemistry, Multidisciplinary
Luping Shen, Shuaikang Qi, Yuexiang Jin, Chunhe Li, Jiajun Cheng, Hongmei Wang, Hongxia Ma, Lei Li
Summary: Novel alpha-NiS-beta-NiS nanosheet modified Cd0.5Zn0.5S nanoparticle heterojunctions have been successfully synthesized, and they exhibit well-constructed integrated structures with strong adhesion, resulting in efficient photocatalytic hydrogen production and excellent stability.
NEW JOURNAL OF CHEMISTRY
(2022)
Article
Chemistry, Physical
Jintong Lang, Chunhe Li
Summary: This study aims to explore the stochastic transition mechanism for switching between oscillation states. Using a simplified two-dimensional model, the researchers found that the system escapes the starting limit cycle at positions with large flux and crosses the barrier between oscillations at positions with lower barriers. By analyzing minimum action paths and mean first passage time, they provide a method to calculate the critical points where switching behavior is most likely to occur and validate their conclusions in a biological system.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2022)
