Article
Biochemical Research Methods
Xu Shi, Andrew F. Neuwald, Xiao Wang, Tian-Li Wang, Leena Hilakivi-Clarke, Robert Clarke, Jianhua Xuan
Summary: The study introduces a novel Bayesian method, IntAPT, for identifying phenotype-specific isoforms from multiple RNA-seq profiles. Using a two-layer Bayesian model, IntAPT quantifies the presence and abundance of isoforms, showing robust performance across multiple samples and improved identification of isoforms.
Article
Computer Science, Artificial Intelligence
Gorkem Algan, Ilkay Ulusoy
Summary: Deep neural networks have made significant progress in image classification systems, but the excessive labeled data required for adequate training poses challenges due to label noise. This paper categorizes methodologies into noise model based and noise model free methods, with the former aiming to estimate noise structure and avoid adverse effects, and the latter focusing on inherently noise robust algorithms using approaches like robust losses.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Information Systems
Haider Shoaib, Hina Tabassum
Summary: Vehicle-to-infrastructure (V2I) communication is crucial for connected and autonomous vehicles (CAVs). However, increasing CAVs' speed leads to more communication handoffs and reduced wireless data rates. Unplanned base-station density may cause severe interference and impact CAV data rates. This study investigates the impact of traffic flow on CAVs and derives closed-form expressions for HO-aware data rates and capacity in a large-scale network with interference.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Cenqin Jin, Nikita A. Shevchenko, Zhe Li, Sergei Popov, Yunfei Chen, Tianhua Xu
Summary: The paper investigates the impact of Equalization Enhanced Phase Noise (EEPN) on multi-channel optical communication systems, analyzes the nonlinear interaction between the signal and EEPN, and validates the analytical approach through numerical simulations and split-step Fourier simulations.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Multidisciplinary Sciences
Evan S. Forsythe, Corrinne E. Grover, Emma R. Miller, Justin L. Conover, Mark A. Arick, M. Carolina F. Chavarro, Soraya C. M. Leal-Bertioli, Daniel G. Peterson, Joel Sharbrough, Jonathan F. Wendel, Daniel B. Sloan
Summary: Mitochondrial and plastid functions depend on the coordinated expression of proteins encoded by different genomic compartments, and polyploidy may pose challenges to this coordination. Through RNA-seq analysis, it was found that plastid genomes generate the majority of mRNA transcripts in the cell, despite having a much smaller number of genes compared to the nuclear genome. The mRNA imbalance between nuclear and organellar genes does not impede the coordination of cyto-nuclear expression, as they show strong correlations in transcript abundances across functional categories.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Nutrition & Dietetics
Simone R. B. M. Eussen, Marko Mank, Robert Kottler, Xenia-Katharina Hoffmann, Alexander Behne, Erdmann Rapp, Bernd Stahl, M. Luisa Mearin, Berthold Koletzko
Summary: The study revealed that the presence and levels of human milk oligosaccharides vary according to maternal phenotype and lactation stage. Some oligosaccharides are present in low concentrations and show sensitivity to maternal phenotype and lactation stage, while others are not influenced by these factors.
Article
Automation & Control Systems
Saif Ahmad, Ahmad Ali
Summary: This research proposes a low-power higher order extended state observer (ESO) to overcome the limitations of active disturbance rejection control (ADRC) technique, such as sensitivity to high-frequency measurement noise and complicated numerical implementation. The analysis also reveals the similarity between a recently proposed cascade ESO (CESO) and higher-order ESO. A case study on a dc-dc boost converter demonstrates the practical advantages of the proposed scheme, including improved immunity to high-frequency measurement noise, precise regulation in the presence of time-varying disturbance, low observer gains, and ease of tuning due to a single observer parameter.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Acoustics
Juan M. Martinez-Orozco, Antonio Barba
Summary: This research investigated the in situ effectiveness of existing noise barriers using the indirect IL method established in the international standard ISO 10847:1997. The results showed moderate noise reduction effect, with the dimensions of the barriers in most cases not taking into account diffraction requirements.
Article
Engineering, Electrical & Electronic
Hubert Dzieciol, Gabriele Liga, Eric Sillekens, Polina Bayvel, Domanic Lavery
Summary: This article introduces a geometric shaping (GS) strategy for designing modulation formats in optical fiber channels impaired by AWGN and phase noise. The optimized constellations maximize generalised mutual information (GMI) and demonstrate enhanced SNR tolerance in high phase noise regimes. By applying GS, it is possible to relax laser linewidth or carrier phase estimation requirements, showing gains in performance compared to traditional AWGN shaped formats.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Audiology & Speech-Language Pathology
Carol L. Mackersie, Nahae Kayden Kim, Stephanie A. Lockshaw, Megan N. Nash
Summary: The majority of participants based their NTTs on criteria related to the noise itself (annoyance or distraction), while a smaller group focused more on speech intelligibility in the noise.
INTERNATIONAL JOURNAL OF AUDIOLOGY
(2021)
Article
Multidisciplinary Sciences
Mingyi Rao, Hao Tang, Jiangbin Wu, Wenhao Song, Max Zhang, Wenbo Yin, Ye Zhuo, Fatemeh Kiani, Benjamin Chen, Xiangqi Jiang, Hefei Liu, Hung-Yu Chen, Rivu Midya, Fan Ye, Hao Jiang, Zhongrui Wang, Mingche Wu, Miao Hu, Han Wang, Qiangfei Xia, Ning Ge, Ju Li, J. Joshua Yang
Summary: Neural networks based on memristive devices have the potential to improve throughput and energy efficiency in machine learning and artificial intelligence, especially in edge applications. To commercialize edge applications, it is practical to download synaptic weights from cloud training and program them into memristors. High-precision programmability is required for memristors in neural network applications to ensure uniform and accurate performance across multiple networks.
Article
Rheumatology
Johanna M. Maassen, Sytske Anne Bergstra, Arvind Chopra, Nimmisha Govind, Elizabeth A. Murphy, David Vega-Morales, Tom W. J. Huizinga, Cornelia F. Allaart
Summary: This study found that RA patients onset above 65 years old include more men and seronegative arthritis, and were initially treated slightly differently than younger patients. However, there were no clinically relevant differences in timing of a next treatment step or response to treatment between different age groups.
Article
Electrochemistry
Sina S. Jamali, Douglas Mills
Summary: Electrochemical noise measurement is commonly used for assessing organic coatings, and a stable reference electrode is essential for collecting valid data. The area of the electrode affects noise characteristics, with smaller electrodes generally producing less current noise but also having higher impedance, requiring optimization.
ELECTROCHIMICA ACTA
(2021)
Article
Cell Biology
Alexia Tiberi, Nicola Maria Carucci, Giovanna Testa, Caterina Rizzi, Paola Pacifico, Giulia Borgonovo, Ivan Arisi, Mara D'Onofrio, Rossella Brandi, Wen-Biao Gan, Simona Capsoni, Antonino Cattaneo
Summary: Nerve growth factor (NGF) has been shown to have a critical role in neuronal physiology. However, this study reveals that astrocytes in the central nervous system are also affected by changes in NGF levels, leading to astrocytic atrophy and proinflammatory responses. Additionally, inhibition of NGF leads to increased calcium activity in layer I astrocytes, which can be reversed by acute administration of NGF.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2023)
Article
Nanoscience & Nanotechnology
Janis K. Eckhardt, Christian Heiliger, Matthias T. Elm
Summary: Ordered mesoporous oxides with their unique architecture have shown potential in various electrochemical applications such as gas sensing and energy storage. The high accessibility of the internal surface allows for tailoring of their electrochemical properties, resulting in superior performance compared to other materials. However, reliable electrochemical characterization is hindered by the complex interplay between nanocrystalline grains, grain boundaries, and the pore framework. A 3D electric network model was used to investigate the impact of the pore structure on the electrical transport properties of mesoporous thin films. An empirical expression was derived that allows for the determination of the material-specific conductivity with less than 8% error.
ACS APPLIED MATERIALS & INTERFACES
(2023)