Article
Food Science & Technology
Montamas Suntravat, Oscar Sanchez, Armando Reyes, Abcde Cirilo, Jack S. Ocheltree, Jacob A. Galan, Emelyn Salazar, Peter Davies, Elda E. Sanchez
Summary: CRiSPs from different snake species have varying effects on endothelial cell and vascular permeability, with Css-CRiSP from Crotalus scutulatus scutulatus and App-CRiSP from Agkistrodon piscivorus piscivorus being the most potent. The two CRiSPs may induce increased permeability through different signaling pathways, as indicated by differential protein expression and phosphorylation levels in endothelial cells treated with Css-CRiSP and App-CRiSP.
Article
Oncology
Caroline Xue, Eva Corey, Taranjit S. Gujral
Summary: Metastatic prostate cancer is a leading cause of male cancer deaths and has limited treatment options. The lack of preclinical models for advanced stage prostate cancer is a major barrier to understanding aggressive subtypes. In this study, we used LuCaP patient-derived xenograft models to represent the genomic and phenotypic features of human disease. Through comprehensive transcriptomic and proteomic profiling, we identified molecular markers associated with androgen receptor-positive and androgen receptor-null castration-resistant prostate cancers. Our findings suggest activation of specific pathways in these subtypes and highlight the importance of integrating transcriptomic and proteomic approaches in preclinical models for understanding poorly understood signaling pathways in metastatic prostate cancer.
Review
Biochemistry & Molecular Biology
Zhiyong Ding, Nan Wang, Ning Ji, Zhe-Sheng Chen
Summary: The complexity of proteomes in liquid biopsy samples and the limitations of proteomic technologies compared to high-plex sequencing technologies have hindered the development of proteomics. However, novel protein technologies are urgently needed for biomarker discovery in cancer liquid biopsies. Traditional and innovative proteomic technologies are being rapidly developed and have greatly facilitated early detection, diagnosis, prognosis, and monitoring of cancer evolution.
Article
Chemistry, Multidisciplinary
Karolina Majsterkiewicz, Artur P. Biela, Sourav Maity, Mohit Sharma, Bernard M. A. G. Piette, Agnieszka Kowalczyk, Szymon Gawel, Soumyananda Chakraborti, Wouter H. Roos, Jonathan G. Heddle
Summary: The structure of an artificial protein cage triggered by gold nanoparticles was successfully predicted, and it was discovered that each cage contains gold nanoparticles, which can be used to achieve regular arrangement of the nanoparticles.
Article
Chemistry, Physical
Taher Hajilounezhad, Rina Bao, Kannappan Palaniappan, Filiz Bunyak, Prasad Calyam, Matthew R. Maschmann
Summary: By utilizing physics-based simulation and image-based machine learning, it is possible to predict physical material properties of CNT forests with high accuracy, paving the way for high-throughput material discovery incorporating scanning electron microscope imagery.
NPJ COMPUTATIONAL MATERIALS
(2021)
Article
Engineering, Multidisciplinary
Kun Xie, Shuyu Pei, Xin Wang, Wen Shi, Gaogang Xie, Kenli Li, Yanbiao Li, Jigang Wen
Summary: The study introduces a stateful Bloom filter (stateBF) for monitoring per-flow connection states in high-speed networks. Through special data structure design and bitwise operations, it achieves efficient and compact flow-state storage services.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Information Systems
Peter Gerstoft, Yihan Hu, Michael J. Bianco, Chaitanya Patil, Ardel Alegre, Yoav Freund, Francois Grondin
Summary: The paper presents a system for localizing sound sources in a room using ad hoc microphone arrays, proposing two methods based on principal component analysis and affine transformation for training with minimal labeled source locations. Experimental results demonstrate that both methods can accurately map out a rectangle in an office setting, without requiring specific array locations.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Materials Science, Multidisciplinary
Haiyang Qin, Mengmeng Sun, Peiyi Li, Junye Li, Zhilin Zhang, Shuqi Dai, Mingjun Huang, Baoyang Lu, Xiaofang Pan, Lidong Wu
Summary: Soft electronics is an important research field with diverse applications. Liquid metal has emerged as a promising material due to its high electrical conductivity and fluidity. In this study, a novel approach for direct dispersion of liquid metal nanoparticles in biocompatible hyaluronic acid is presented, creating multifunctional liquid metal/hyaluronic acid hydrogels. These hydrogels exhibit remarkable electromechanical properties and can be utilized as sensing material for facial expression monitoring systems in soft robotics. This study not only advances the understanding of liquid metal properties, but also expands its potential application scenarios in soft robotics and implantable sensors.
ADVANCED MATERIALS TECHNOLOGIES
(2023)
Article
Engineering, Electrical & Electronic
Nikita Petrov, Oleg Krasnov, Alexander G. Yarovoy
Summary: This paper introduces a new method of automotive radar self-calibration using targets of opportunity and proposes an estimation procedure based on an extended Kalman filter to address the challenge of simultaneous localization, mapping, and calibration. Numerical simulations and real data processing demonstrate a significant reduction in sidelobe rejection and the ability to correct for angular steering errors.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Ali Yeganeh, Alireza Shadman
Summary: This paper proposes a control chart based on Artificial Neural Networks (ANN) to monitor linear profiles in phase II, with novel run rules to enhance efficiency. Simulation results and a real calibration example illustrate the good performance and implementation process of the proposed scheme.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Ali Yeganeh, Alireza Shadman
Summary: An Artificial Neural Network-based control chart was proposed to monitor linear profiles in phase II, with novel run rules contributing to enhanced efficiency and faster shift detection. Simulation results showed good performance based on the average run length criterion, and a systematic ANN-based diagnostic procedure was introduced to identify parameter changes in the process. The implementation of the scheme was illustrated through a real calibration example from the field of chemical engineering.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Chemistry, Physical
Samuel Babity, Elise Laszlo, Davide Brambilla
Summary: Polymeric microneedles have gained increasing interest for potential diagnostic applications due to their minimally invasive skin penetration. Different types of polymeric microneedles can be used for extracting dermal interstitial fluid, directly detecting analytes, and delivering diagnostic agents to the skin. Material research plays a crucial role in the further development of this field.
CHEMISTRY OF MATERIALS
(2021)
Article
Mechanics
Bidan Zhao, Mingming He, Junwu Wang
Summary: With the era of big data and high-precision discrete simulations, it is a challenge to discover physical laws from the readily available high-quality data. This study attempts to discover the governing equation and energy dissipation rate of granular flow for the homogeneous cooling state using the sparse regression method. The findings show that the macroscopic governing equation and constitutive relation can be accurately obtained from the microscopic data using a purely data-driven approach.
Article
Chemistry, Analytical
Zhumei Rohskopf, Taehong Kwon, Sung Hee Ko, Dragana Bozinovski, Hyungkook Jeon, Naresh Mohan, Stacy L. Springs, Jongyoon Han
Summary: This study developed a novel nanofluidic system for continuous direct measurement of IgG titers, enabling online monitoring and showing good correlation with biolayer interferometry assays.
ANALYTICAL CHEMISTRY
(2023)
Article
Biology
Timothy M. Ghaly, Sasha G. Tetu, Michael R. Gillings
Summary: Ghaly et al. used cassette recombination sites to predict the origins of antibiotic resistance cassettes spread by mobile integrons. They found that more than a quarter of all resistance cassettes have recombination sites that are structurally conserved among Xanthomonadales, Spirochaetes, and Vibrionales. Their research also demonstrated that the origins of resistance cassettes are associated with host environment rather than host phylogeny.
COMMUNICATIONS BIOLOGY
(2021)