Article
Endocrinology & Metabolism
Padiporn Limumpornpetch, Ann W. Morgan, Ana Tiganescu, Paul D. Baxter, Victoria Nyawira Nyaga, Mar Pujades-Rodriguez, Paul M. Stewart
Summary: This study conducted a systematic review and meta-analysis on the mortality of patients with benign endogenous Cushing syndrome (CS). The results showed that despite improved outcomes in recent years, there is still an increased mortality from CS. The causes of death mainly include atherosclerotic diseases and thromboembolism, infection, and malignancy.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2022)
Article
Mechanics
Adrian Lozano-Duran, Navid C. Constantinou, Marios-Andreas Nikolaidis, Michael Karp
Summary: Despite the nonlinear nature of turbulence, evidence shows that part of the energy transfer mechanisms sustaining wall turbulence can be attributed to linear processes. Different scenarios based on linear stability theory, including exponential instabilities, neutral modes, transient growth from non-normal operators and parametric instabilities, are rooted in simplified physical models. Among these, transient growth has been shown to be sufficient for sustaining realistic wall turbulence, while suppressing other linear mechanisms such as exponential instabilities, neutral modes, and parametric instabilities.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Public, Environmental & Occupational Health
Mahdi Nalini, Masoud Khoshnia, Farin Kamangar, Maryam Sharafkhah, Hossein Poustchi, Akram Pourshams, Gholamreza Roshandel, Samad Gharavi, Mahdi Zahedi, Alireza Norouzi, Masoud Sotoudeh, Arash Nikmanesh, Paul Brennan, Paolo Boffetta, Sanford M. Dawsey, Christian C. Abnet, Reza Malekzadeh, Arash Etemadi
Summary: This study investigated the joint effect of diabetes and opiate use on mortality, finding that individuals with both diabetes and opiate use had a significantly higher risk of all-cause mortality. The results highlight the importance of public awareness on the health effects of opiates and the need to improve diabetes care for individuals at risk of opiate use.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
(2021)
Article
Engineering, Civil
Yangtao Zhang, X. Jessie Yang, Feng Zhou
Summary: The advancement in machine learning and artificial intelligence has led to the testing and deployment of autonomous vehicles. This study built a scalable pipeline using natural language processing and deep transfer learning to collect, process, model, and analyze disengagement reports from 2014 to 2020. The analysis revealed trends and significant relationships between causes and effects of autonomous vehicle disengagement.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Review
Microbiology
Stephanie Dias, Carmen Pheiffer, Sumaiya Adam
Summary: Gestational diabetes mellitus (GDM) is associated with adverse maternal and neonatal outcomes and may be influenced by alterations in the maternal microbiome. Further research and clinical trials are necessary to fully understand and utilize the therapeutic potential of the maternal microbiome.
Review
Rheumatology
Antonio Pezone, Fabiola Olivieri, Maria Vittoria Napoli, Antonio Procopio, Enrico Vittorio Avvedimento, Armando Gabrielli
Summary: Inflammation is a biological response involving immune cells, blood vessels, and mediators induced by pathogens, damaged cells, or chemicals. Chronic inflammation is characterized by cytokine secretion, DNA damage, and senescence induction. The relationship between persistent DNA damage, inflammation, and cellular senescence plays a significant role in various diseases, including rheumatic diseases.
NATURE REVIEWS RHEUMATOLOGY
(2023)
Article
Engineering, Chemical
Mehran Haghparast, Mahdi Aliyari Shoorehdeli
Summary: This paper proposes a causality detection method based on distance correlation, utilizing causality measure index and REDC to reduce computational burden. The method provides acceptable performance for causality detection in linear and nonlinear systems, significantly reducing computational time.
Article
Development Studies
Fabien Cottier, Marie -Laurence Flahaux, Jesse Ribot, Richard Seager, Godfreyb Ssekajja
Summary: This article contrasts two primary categories of analytic frames, namely 'Environmental-Drivers' and 'Social-Causal', and explores their implications for causality through cases of 'climate-related' migration. The findings emphasize the normative nature of frame choice and suggest making causal assumptions explicit to broaden the range of possible policy responses.
Article
Quantum Science & Technology
Koji Nagata, Do Ngoc Diep, Tadao Nakamura
Summary: This article discusses the fact that symmetric measurement outcomes are independent of the order of measurements, which can be extended to consider the uncertainty principle. In certain cases, two symmetric measurement outcomes result in commutative observables. In this specific example, if we make the assumption that addition is equivalent to multiplication, an inconsistency arises, possibly due to the non-commutative nature of matrix theory. We illustrate the inconsistency in an arbitrary dimensional unitary space when measuring commuting observables/an observable. If forgiven for the above description, this trial could be categorized as an inconsistency example in the effect of the uncertainty principle.
QUANTUM INFORMATION PROCESSING
(2023)
Article
Psychology, Multidisciplinary
Claude Messner, Mattia Carnelli, Patrick Stefan Hohener
Summary: The cheerleader effect describes the phenomenon where faces are perceived as more attractive when surrounded by other faces. This effect can be explained by four theories, involving visual memory processes and comparison processes.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Chemistry, Analytical
Junyeong Kim, Ji Woo Hong, Sunjae Yoon, Chang D. Yoo
Summary: The task of visual commonsense generation is challenging for machines. This paper introduces CE-BART, a model based on graph reasoning and causal relations, which achieves state-of-the-art performance on two benchmarks and demonstrates improved interpretability.
Article
Environmental Sciences
Ray-Ming Chen
Summary: This study proposes a new method to measure the strength of cause and effect between environmental variables and obtains important results through empirical analysis, providing useful insights for policymakers.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Computer Science, Hardware & Architecture
Yue Tang, Xu Jiang, Nan Guan, Dong Ji, Xiantong Luo, Wang Yi
Summary: This paper investigates the application of cause-effect chains in real-time systems and their impact on communication paradigms. It compares different communication paradigms in terms of the end-to-end latency of cause-effect chains and proposes priority assignment strategies to optimize the latency with specific communication paradigms. Experiments are conducted with synthesized data based on an automotive benchmark and randomly generated parameters to evaluate the results.
IEEE TRANSACTIONS ON COMPUTERS
(2023)
Article
Economics
Steven Callander, Juan Carlos Carbajal
Summary: The article discusses the concept and development of polarization and provides a simple model to explain the reasons behind it and predict its future trends.
JOURNAL OF POLITICAL ECONOMY
(2022)
Article
Automation & Control Systems
Christoph Kaeding, Jakob Runge
Summary: Distinguishing cause and effect from observational data is a fundamental problem in science. In machine learning, comparing real and synthetic data has driven the development of new causal methods. Currently, there is a lack of systematic evaluation on the latest real-world data and comprehensive synthetic data. We provide a detailed comparison and contribute a novel dataset to the benchmark platform.
JOURNAL OF MACHINE LEARNING RESEARCH
(2023)
