Results 71 to 80 of about 971,523 (344)

Mood Instability Is a Precursor of Relationship and Marital Difficulties: Results from Prospective Data from the British Health and Lifestyle Surveys

Frontiers in Psychiatry, 2017
The DSM system implies that affective instability is caused by reactivity to interpersonal events. We used the British Health and Lifestyle Survey that surveyed community residents in 1984 and again in 1991 to study competing hypotheses: that mood ...
Rudy Cecil Bowen, Lisa Yue Dong, Evyn McMillan Peters, Marilyn Baetz, Lloyd Balbuena   +4 more
doaj   +1 more source

Downregulation of O‐GlcNAcylation enhances etoposide‐induced p53‐mediated apoptosis in HepG2 human liver cancer cells

FEBS Open Bio, EarlyView.
Etoposide, a topoisomerase II inhibitor, reduces O‐GlcNAcylation in HepG2 liver cancer cells. Further inhibition of O‐GlcNAc transferase by OSMI‐1 enhanced etoposide‐induced apoptosis, lowering the IC50 for viability and increasing the EC50 for cytotoxicity.
Jaehoon Lee, Gi‐Bang Koo, Jihye Park, Byung‐Cheol Han, Mijin Kwon, Seung‐Ho Lee   +5 more
wiley   +1 more source

Association Between Sleep Traits and Rheumatoid Arthritis: A Mendelian Randomization Study

Frontiers in Public Health, 2022
Currently, the causal association between sleep disorders and rheumatoid arthritis (RA) has been poorly understood. In this two-sample Mendelian randomization (TSMR) study, we tried to explore whether sleep disorders are causally associated with RA ...
Rui-Chen Gao, Ni Sang, Cheng-Zhen Jia, Meng-Yao Zhang, Bo-Han Li, Meng Wei, Guo-Cui Wu   +6 more
doaj   +1 more source

Analyzing Multiple Nonlinear Time Series with Extended Granger Causality [PDF]

, 2004
Identifying causal relations among simultaneously acquired signals is an important problem in multivariate time series analysis. For linear stochastic systems Granger proposed a simple procedure called the Granger causality to detect such relations.
Arnhold, Bhattacharya, Boccaletti, Breakapear, Breakapear, Casdagli, Eckmann, Farmer, Fraser, Freiwald, Govindan Rangarajan, Granger, Jianfeng Feng, Kaminski, Kantz, Kennel, Lütkepohl, Mingzhou Ding, Priestley, Quian Quiroga, Quian Quiroga, Quyen, Sakata, Schiff, Schreiber, Wendling, Wiener, Wiesenfeldt, Yonghong Chen   +28 more
core   +2 more sources

From Classification to Causality: Advancing Understanding of Mechanisms of Change in Implementation Science

Frontiers in Public Health, 2018
Background The science of implementation has offered little toward understanding how different implementation strategies work. To improve outcomes of implementation efforts, the field needs precise, testable theories that describe the causal pathways ...
C. Lewis, P. Klasnja, B. Powell, Aaron R. Lyon, L. Tuzzio, Salene M. W. Jones, Callie Walsh-Bailey, B. Weiner   +7 more
semanticscholar   +1 more source

Long non‐coding RNAs as therapeutic targets in head and neck squamous cell carcinoma and clinical application

FEBS Open Bio, EarlyView.
Long non‐coding RNAs (lncRNAs) occupy an abundant fraction of the eukaryotic transcriptome and an emerging area in cancer research. Regulation by lncRNAs is based on their subcellular localization in HNSCC. This cartoon shows the various functions of lncRNAs in HNSCC discussed in this review.
Ellen T. Tran, Ruchi A. Patel, Amogh Chariyamane, Ratna B. Ray   +3 more
wiley   +1 more source

Residual Predictive Information Flow in the Tight Coupling Limit: Analytic Insights from a Minimalistic Model

Entropy, 2019
In a coupled system, predictive information flows from the causing to the caused variable. The amount of transferred predictive information can be quantified through the use of transfer entropy or, for Gaussian variables, equivalently via Granger ...
Benjamin Wahl, Ulrike Feudel, Jaroslav Hlinka, Matthias Wächter, Joachim Peinke, Jan A. Freund   +5 more
doaj   +1 more source

TEMPORAL REPRESENTATION OF THE ESSENCES OF THE SUBJECT AREA FOR THE CONSTRUCTION OF EXPLANATIONS IN INTELLIGENT SYSTEMS

Сучасні інформаційні системи, 2022
The subject of research in the article is is the processes of constructing explanations in intelligent systems using causal relationships. The aim is to develop a representation of the entities of the subject area, taking into account the temporal ...
Serhii Chalyi, Volodymyr Leshchynskyi
doaj   +1 more source

Causal Bias Quantification for Continuous Treatments [PDF]

arXiv, 2021
We extend the definition of the marginal causal effect to the continuous treatment setting and develop a novel characterization of causal bias in the framework of structural causal models. We prove that our derived bias expression is zero if, and only if, the causal effect is identifiable via covariate adjustment.
arxiv  

Guidelines for investigating causality of sequence variants in human disease

Nature, 2014
The discovery of rare genetic variants is accelerating, and clear guidelines for distinguishing disease-causing sequence variants from the many potentially functional variants present in any human genome are urgently needed. Without rigorous standards we
D. MacArthur, D. MacArthur, T. Manolio, D. Dimmock, H. Rehm, J. Shendure, G. Abecasis, D. Adams, R. Altman, S. Antonarakis, Euan A. Ashley, J. Barrett, L. Biesecker, D. Conrad, G. Cooper, Nancy J. Cox, M. J. Daly, M. J. Daly, M. Gerstein, David B. Goldstein, J. Hirschhorn, J. Hirschhorn, S. Leal, L. Pennacchio, L. Pennacchio, J. Stamatoyannopoulos, S. Sunyaev, David Valle, B. Voight, W. Winckler, W. Winckler, C. Gunter   +31 more
semanticscholar   +1 more source