Article
Chemistry, Multidisciplinary
Alexander J. Najibi, Maxence O. Dellacherie, Ting-Yu Shih, Edward J. Doherty, Des A. White, Tomas Bauleth-Ramos, Alexander G. Stafford, James C. Weaver, Chyenne D. Yeager, Benjamin T. Seiler, Matthew Pezone, Aileen W. Li, Bruno Sarmento, Helder A. Santos, David J. Mooney, Luo Gu
Summary: Scaffold-based vaccines can induce potent, durable, and versatile humoral immune responses with single-shot immunization, offering better efficacy compared to traditional bolus vaccines.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Biochemical Research Methods
Di Wu, Hongli Wang, Qi Ouyang
Summary: This paper extends the traditional thermoinducible bioswitch by utilizing biomolecular interaction network topologies. Three target bioswitches are considered and the minimal and core network skeletons for building robust high-performance bioswitches are identified. The functional topologies have preferential advantages in parameter selection. This research has significant value in aiding the rational design and synthesis of efficient high-performance thermal bioswitches.
JOURNAL OF BIOLOGICAL ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Mengke Ge, Xiaobing Ni, Song Chen, Yi Kang
Summary: This paper proposes a method to generate brain-network-inspired topologies on M3D ICs, which have lower average hop count, shorter diameter, and shorter total link length compared to traditional regular and irregular topologies.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Engineering, Civil
Shuai Zheng, Zhenzhen He, Honglei Liu
Summary: This paper proposes a deep learning based neural network for generating three-dimensional structural topologies efficiently. The method involves data set generation, neural network construction and training, and direct attainment of near optimal results with different domain sizes and boundary conditions. Two advantages of this method are highlighted when compared to traditional topology optimization methods and machine learning approaches.
THIN-WALLED STRUCTURES
(2021)
Article
Cell & Tissue Engineering
Guillem Garcia-Llorens, Teresa Martinez-Sena, Eugenia Pareja, Laia Tolosa, Jose V. Castell, Roque Bort
Summary: Researchers have developed a novel approach to obtain hepatocytes from individuals through direct reprogramming. This method involves the use of a single doxycycline-inducible polycistronic vector system to express HNF4A, HNF1A, and FOXA3 in human fibroblasts previously transduced with hTERT. These cells can be easily differentiated into hepatocyte-like cells by adding doxycycline to the culture media, and can also be generated from patients with specific pathological phenotypes.
STEM CELL RESEARCH & THERAPY
(2023)
Article
Computer Science, Artificial Intelligence
Cagri Yesil, Emin Erkan Korkmaz
Summary: Image classification is a well-studied problem, with convolutional neural networks (CNNs) being a successful approach. In this work, a cellular automata-based unsupervised methodology is proposed to create convolutional filters, reducing computational burden compared to CNNs. The proposed methodology can directly carry out classification, enhance CNNs, and improve performance by using the created filters.
MACHINE VISION AND APPLICATIONS
(2023)
Article
Multidisciplinary Sciences
Danica Sugic, Ramon Droop, Eileen Otte, Daniel Ehrmanntraut, Franco Nori, Janne Ruostekoski, Cornelia Denz, Mark R. Dennis
Summary: This study experimentally creates and measures a topological 3D skyrmionic hopfion in fully structured light, establishing the skyrmionic mapping by adjusting both polarization and phase profiles. The resulting light field's Stokes parameters and phase are synthesized into a Hopf fibration texture, allowing for volumetric full-field reconstruction of the Pi(3) mapping and measurement of a quantized topological charge. This research opens new avenues for 3D optical data encoding and metrology, providing experimentally-accessible photonic analogues to various particle-like 3D topological textures.
NATURE COMMUNICATIONS
(2021)
Article
Chemistry, Physical
Yufei Zhang, Lei Wu, Aijaz Ahmed Babar, Xinglei Zhao, Xianfeng Wang, Jianyong Yu, Bin Ding
Summary: This work presents a biomimetic nanofibrous membrane water harvester with a highly ordered honeycomb structure, featuring super flexibility, high tensile strength, superior elasticity, and excellent moisture absorption performance for efficient water collection.
Article
Computer Science, Information Systems
Maryam Sarebanzadeh, Mohammad Ali Hosseinzadeh, Cristian Garcia, Ebrahim Babaei, Syed Islam, Jose Rodriguez
Summary: This article introduces two generalized multilevel inverter configurations that are suitable for renewable energy sources by reducing the number of elements and total standing voltage. The proposed topologies offer flexibility in design, achieve a large number of levels, and minimize the number of elements required.
Article
Computer Science, Artificial Intelligence
Vipul Mann, Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian
Summary: The study investigates the impact of agent loss on performance in a hostile environment using particle swarm optimization, revealing interesting trade-offs between efficiency, robustness, and overall performance for different network topologies. Small-world networks are observed to perform well under hostile conditions.
SWARM AND EVOLUTIONARY COMPUTATION
(2021)
Article
Automation & Control Systems
Zhongyun Hua, Yicong Zhou
Summary: This article introduces a new chaotic system with robust chaos to overcome the issue of chaos disappearance caused by parameter disturbance in practical applications. By introducing the exponential chaotic model (ECM), nine one-dimensional chaotic maps with robust chaos were generated and tested for secure communication. Simulation results showed superior performance against various channel noise during data transmission.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Soheila Amiri Roshan, Mehdi Rahmani
Summary: In this article, a consensus-based robust filter is proposed for sensor networks with weighted and unweighted topologies, and communication delays. The consensus protocol ensures an agreement between the estimates of all sensors, and optimization problems are solved to achieve a suitable filter with considerations for time-varying delays. The robust performance and efficiency of the proposed filters have been investigated in simulation experiments.
IEEE SENSORS JOURNAL
(2023)
Article
Multidisciplinary Sciences
A. A. Azzam, Zanyar A. Ameen, Tareq M. Al-shami, Mohammed E. El-Shafei
Summary: This paper explores the importance of soft set theory in dealing with daily problems that involve a large amount of data and ambiguity. It discusses the methods of generating soft topologies through soft set operators and their relationship with classical topologies. The paper also demonstrates that various soft topologies can be characterized by different soft operators and provides examples to illustrate their implementation.
Article
Medicine, General & Internal
Hansheng Li, Yuxin Kang, Wentao Yang, Zhuoyue Wu, Xiaoshuang Shi, Feihong Liu, Jianye Liu, Lingyu Hu, Qian Ma, Lei Cui, Jun Feng, Lin Yang
Summary: This study introduces a training method using spatial information for loss calibration, significantly improving the performance of cellular detectors trained on sparsely annotated datasets, even with 90% of annotations missing. Additionally, the middle layers of the detector are closely linked to overall performance, offering insights for future research on model training.
FRONTIERS IN MEDICINE
(2021)
Article
Computer Science, Information Systems
Shuchen Ding, Fengzeng Zhu
Summary: This paper explores the theoretical research and distributed filtering design for state estimation in sensor networked systems with quantized measurement and switching topologies. The design takes into account the fact that communication links between nodes are not fixed and utilizes Markov chains to describe random switching behavior. The effectiveness of the design method is demonstrated through two numerical simulations.
Article
Biochemistry & Molecular Biology
Pamela A. Barendt, Najaf A. Shah, Gregory A. Barendt, Parth A. Kothari, Casim A. Sarkar
ACS CHEMICAL BIOLOGY
(2013)
Article
Oncology
Lauren M. F. Merlo, Najaf A. Shah, Xiaohong Li, Patricia L. Blount, Thomas L. Vaughan, Brian J. Reid, Carlo C. Maley
CANCER PREVENTION RESEARCH
(2010)
Article
Genetics & Heredity
Raymond J. Louie, Jingyu Guo, John W. Rodgers, Rick White, Najaf A. Shah, Silvere Pagant, Peter Kim, Michael Livstone, Kara Dolinski, Brett A. McKinney, Jeong Hong, Eric J. Sorscher, Jennifer Bryan, Elizabeth A. Miller, John L. Hartman
Article
Genetics & Heredity
Pamela A. Barendt, Najaf A. Shah, Gregory A. Barendt, Casim A. Sarkar
Article
Mathematical & Computational Biology
Najaf A. Shah, Richard J. Laws, Bradley Wardman, Lue Ping Zhao, John L. Hartman
BMC SYSTEMS BIOLOGY
(2007)