Article
Thermodynamics
Zhong Huang, Botong Li, Xinhui Si, Chanjuan Yao
Summary: This paper investigates the temperature distribution of power-law liquid food under the combination impacts of thermal radiation and natural convection. Results show that the cylindrical container (i.e., the noodle bowl) has the best heating effect, while the temperature fields of egg yolk and egg white are less affected by the generalized Grashof number. The technique of adjusting the generalized Grashof number and thermal radiation for controlling heat transfer behavior could be applied in food engineering applications.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Thermodynamics
Umair Rashid, Naeem Ullah, Dianchen Lu, Hamiden Abd El-Wahed Khalifa
Summary: The study investigates the heat transfer characteristics and energy transfer of power law fluid flow in a crown cavity with an adjustable heated cylinder. The results indicate that the kinetic energy and Nusselt number are higher for shear thinning, while they are lower for shear thickening.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Neurosciences
Yasir Catal, Javier Gomez-Pilar, Georg Northoff
Summary: The goal of this study is to investigate the dynamics and topography of sensory input systems in order to better understand their intrinsic features that shape neural processing. Using functional magnetic resonance imaging data, the researchers found differences in neural dynamics and topography among different input systems during both rest and task states. The study also revealed that scale-free activity plays a role in mediating the transition from rest to task in the sensory input systems.
Article
Computer Science, Information Systems
Emre Mumcuoglu, Ceyhun E. Ozturk, Haldun M. Ozaktas, Aykut Koc
Summary: Natural language processing has gained attention in legal systems of several countries, with a study focusing on predicting verdicts for courts in the Republic of Turkey, using various algorithms including deep learning. The results show that the outcomes of Turkish courts can be predicted with high accuracy, especially with deep learning methods, demonstrating similar performance to previous studies in other languages and legal systems.
INFORMATION PROCESSING & MANAGEMENT
(2021)
Article
Multidisciplinary Sciences
Mark Brown, Joel E. Cohen, Chuan-Fa Tang, Sheung Chi Phillip Yam
Summary: We generalize Taylor's law to heavy-tailed distributions with tail index alpha in (0, 1) and infinite mean, demonstrating specific relationships between sample statistics and sample mean as sample size increases. These scaling relationships characterize the risk-adjusted performance of investments and are known as Taylor's law in ecology and fluctuation scaling in physics.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Mathematics, Applied
Darya S. Loenko, Aroon Shenoy, Mikhail A. Sheremet
Summary: This research focuses on the numerical analysis of natural convection in a cavity filled with a non-Newtonian nanosuspension under the influence of a heat-generating wall section. The study shows that adding nanosized particles to heat transfer liquids can enhance heat removal from heated elements in electronic devices, and different boundary conditions result in different temperature patterns.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Green & Sustainable Science & Technology
Shafqat Hussain, Muhammad Jamal, Zoubida Haddad, Muslum Arici
Summary: The influence of a magnetic field on thermosolutal free convective flow inside a porous enclosure is investigated in this study. The results show that the magnetic field decreases heat and mass transport, and the effects of different parameters on flow intensity and transfer rates vary.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Computer Science, Artificial Intelligence
Corinna Coupette, Dirk Hartung, Janis Beckedorf, Maximilian Bother, Daniel Martin Katz
Summary: Building on the concept of code smells in computer science, this study explores law smells in legal texts that can affect comprehension and maintainability. By introducing five intuitive law smells and developing a comprehensive taxonomy, the research classifies law smells based on detection, their relevance to law, and identification methods. The effectiveness of text-based and graph-based approaches in detecting law smells is validated using the United States Code.
ARTIFICIAL INTELLIGENCE AND LAW
(2023)
Article
Computer Science, Artificial Intelligence
Masha Medvedeva, Martijn Wieling, Michel Vols
Summary: This paper discusses previous research in automatic prediction of court decisions and defines the differences between outcome identification, outcome-based judgement categorisation, and outcome forecasting. It also emphasizes the importance of understanding the legal data being worked with to determine the tasks that can be performed. Finally, it reflects on the needs of the legal discipline regarding court judgement analysis.
ARTIFICIAL INTELLIGENCE AND LAW
(2023)
Article
Thermodynamics
Subhasisa Rath
Summary: This study revisits the classical differentially heated square cavity problem to investigate the effects of non-Oberbeck-Boussinesq (NOB) on natural convection heat transfer of non-Newtonian power-law fluids. Numerical analysis reveals significant changes in momentum and heat transfer characteristics due to the interplay of power-law rheology and NOB effects, with an average Nusselt number enhancement of over 40% in extreme cases. The study emphasizes the importance of considering NOB effects in practical scenarios to avoid misleading results.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Computer Science, Artificial Intelligence
Yuh-Shyan Chen, Shin-Wei Chiang, Meng-Luen Wu
Summary: This paper proposes an intelligent law article prediction method to address data imbalance and missing value issues in law text analysis. By transferring prior knowledge from frequent cases to rare ones, the method improves the prediction performance.
APPLIED INTELLIGENCE
(2022)
Article
Thermodynamics
Darya S. Loenko, Aroon Shenoy, Mikhail A. Sheremet
Summary: This paper presents the computational analysis of unsteady natural convection of a non-Newtonian fluid in an enclosure, considering the time sinusoidal dependence of the wall temperature. The results show the impact of fluid properties and wall temperature oscillation frequency on convective heat and mass transfer.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2021)
Article
Mathematics
Mohamed Omri, Muhammad Jamal, Shafqat Hussain, Lioua Kolsi, Chemseddine Maatki
Summary: This study investigates the impact of the power law index on the convective heat transfer of hybrid nanofluids in a square cavity. The study also pays attention to the effect of a solid fluid layer. The results show that increasing the power law index leads to a significant penetration of streamlines towards the porous hybrid layer. Additionally, the average Nusselt number increases with increasing Rayleigh number, and there is no significant change in the isotherms at the solid layer by increasing the Darcy number. Furthermore, increasing undulations decrease the average Nusselt number, while increasing the thermal conductivity ratio enhances the rate of heat transfer at the heated boundary and solid fluid interface of the cavity.
Article
Neurosciences
Maansi Desai, Jade Holder, Cassandra Villarreal, Nat Clark, Brittany Hoang, Liberty S. Hamilton
Summary: Researchers used encoding models to predict brain responses to speech under different background noise conditions, finding that neural responses to naturalistic stimuli can be generalized to controlled environments. EEG responses to isolated speech could be accurately predicted, while responses to speech in rich acoustic backgrounds were more accurate when phonological and acoustic features were included.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Communication
Petter Tornberg, Anton Tornberg
Summary: The blurring line between extremist movements and mainstream politics, driven by rising sectarian polarization, has been linked to digital media and the concept of echo chambers. This study examines the social processes within digital spaces and suggests that conversational rituals in these spaces facilitate social membership and the development of unquestionable beliefs, potentially contributing to the rise of sectarian polarization.
NEW MEDIA & SOCIETY
(2022)
Review
Behavioral Sciences
Volker Hofmann, Maurice J. Chacron
FRONTIERS IN INTEGRATIVE NEUROSCIENCE
(2019)
Article
Multidisciplinary Sciences
Chengjie G. Huang, Michael G. Metzen, Maurice J. Chacron
Article
Neurosciences
Mariana M. Marquez, Maurice J. Chacron
JOURNAL OF PHYSIOLOGY-LONDON
(2020)
Article
Multidisciplinary Sciences
Ting-Feng Lin, Mohammad Mohammadi, Ahmed M. Fathalla, Duygu Pul, Dennis Luthi, Fausto Romano, Dominik Straumann, Kathleen E. Cullen, Maurice J. Chacron, Melody Ying-Yu Huang
SCIENTIFIC REPORTS
(2019)
Article
Neurosciences
Michael G. Metzen, Volker Hofmann, Maurice J. Chacron
FRONTIERS IN NEUROSCIENCE
(2020)
Article
Multidisciplinary Sciences
Volker Hofmann, Maurice J. Chacron
SCIENTIFIC REPORTS
(2020)
Article
Behavioral Sciences
Mariana M. Marquez, Maurice J. Chacron
FRONTIERS IN INTEGRATIVE NEUROSCIENCE
(2020)
Article
Biology
Isabelle Mackrous, Jerome Carriot, Kathleen E. Cullen, Maurice J. Chacron
Article
Neurosciences
Michael G. Metzen, Maurice J. Chacron
Summary: The study found that under natural stimuli, the correlation between neuronal activities depended on distance, while noise correlations were independent of physical distance. Decoding performance was best for a timescale of 6 ms, indicating that midbrain neurons transmit information via precise spike timing. Different weight combinations of neuronal activities could achieve similar discriminability, showing robustness in information transmission by midbrain neuron populations.
JOURNAL OF NEUROSCIENCE
(2021)
Editorial Material
Behavioral Sciences
Maurice J. Chacron, Michael R. Markham
FRONTIERS IN INTEGRATIVE NEUROSCIENCE
(2021)
Article
Multidisciplinary Sciences
Jerome Carriot, Kathleen E. Cullen, Maurice J. Chacron
Summary: Weber's law is considered a fundamental principle of perception, but it is an oversimplification with observed violations; perceptual performance exceeds predictions from Weber's law for higher stimulus amplitudes commonly found in natural sensory stimuli; the study reveals the neural basis for violations of Weber's law and how variability contributes to adaptive encoding of natural stimuli.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Multidisciplinary Sciences
Ziqi Wang, Maurice J. Chacron
Summary: The study revealed that correlations between neural activities of hindbrain electrosensory neurons can enhance information about the structure of natural communication stimuli, allowing downstream brain areas to reliably discriminate between different waveforms. This suggests that synergistic interactions between neural activities can improve discrimination performance.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Jerome Carriot, Graham McAllister, Hamed Hooshangnejad, Isabelle Mackrous, Kathleen E. Cullen, Maurice J. Chacron
Summary: The study examines sensory adaptation to natural and artificial stimuli and finds that adaptation actually reduces coding ambiguity without compromising the optimality of coding under natural stimulation.
NATURE COMMUNICATIONS
(2022)
Article
Biochemical Research Methods
Myriah J. Haggard, Maurice Chacron
Summary: In this study, multi-unit recordings from sensory neural populations using high-density arrays were conducted to investigate how a heterogeneous neural population encodes object location. The researchers found that the receptive fields were highly heterogeneous and that spike-count correlations varied along the receptive field. A mathematical model was also built to demonstrate that experimentally observed heterogeneities in receptive fields optimize information transmission.
PLOS COMPUTATIONAL BIOLOGY
(2023)
Article
Multidisciplinary Sciences
Mariana M. Marquez, Maurice J. Chacron
Summary: This study investigated how neuromodulation affects population coding of behaviorally relevant stimuli and found that electrical stimulation of the raphe nuclei enhances population coding by ON-type cells in the electrosensory system of weakly electric fish Apteronotus leptorhynchus, while having no effect on OFF-type cells. Furthermore, behavioral responses were only correlated with changes in population coding by ON-type cells.