Results 101 to 110 of about 3,778,426 (259)

Development of a long-term time-weighted exposure metric that accounts for missing data in the Seychelles Child Development Study. [PDF]

Neurotoxicology, 2022
Thurston SW, Harrington D, Mruzek DW, Shamlaye C, Myers GJ, van Wijngaarden E.   +5 more
europepmc   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Purifying Selection Determines the Short-Term Time Dependency of Evolutionary Rates in SARS-CoV-2 and pH1N1 Influenza. [PDF]

Mol Biol Evol, 2022
Ghafari M, du Plessis L, Raghwani J, Bhatt S, Xu B, Pybus OG, Katzourakis A.   +6 more
europepmc   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

Short-Term Forecasting of Non-Stationary Time Series

Engineering Proceedings
Forecasting climate events is crucial for mitigating and managing risks related to climate change; however, the problem of non-stationarity in time series (NTS) arises, making it difficult to capture and model the underlying trends.
Amir Aieb, Antonio Liotta, Alexander Jacob, Muhammad Azfar Yaqub   +3 more
doaj   +1 more source

Constrained Fourier estimation of short-term time-series gene expression data reduces noise and improves clustering and gene regulatory network predictions. [PDF]

BMC Bioinformatics, 2022
Bar N, Nikparvar B, Jayavelu ND, Roessler FK.   +3 more
europepmc   +1 more source

Cosmological Term, Mass, and Space-Time Symmetry [PDF]

, 2004
In the spherically symmetric case the requirements of regularity of density and pressures and finiteness of the ADM mass $m$, together with the weak energy condition, define the family of asymptotically flat globally regular solutions to the Einstein minimally coupled equations which includes the class of metrics asymptotically de Sitter as $r\to 0$. A
openaire   +2 more sources

The neural crest‐associated gene ERRFI1 is involved in melanoma progression and resistance toward targeted therapy

Molecular Oncology, EarlyView.
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang, Qian Sun, Daniel Novak, Lei Zhu, Juliane Poelchen, Tamara Steinfass, Yiman Wang, Viktor Umansky, Jochen Utikal   +8 more
wiley   +1 more source

The time validity of Philip's two‐term infiltration equation: An elusive theoretical quantity?

Vadose Zone Journal
The two‐term infiltration equation I(t)=St+At is commonly used to determine the sorptivity, S (LT−1/2), and product, A=cKs (LT−1), of the dimensionless multiple c and saturated soil hydraulic conductivity Ks (LT−1) from cumulative vertical infiltration ...
Jasper A. Vrugt, Jan W. Hopmans, Yifu Gao, Mehdi Rahmati, Jan Vanderborght, Harry Vereecken   +5 more
doaj   +1 more source

xLSTMTime: Long-Term Time Series Forecasting with xLSTM

AI
In recent years, transformer-based models have gained prominence in multivariate long-term time series forecasting (LTSF), demonstrating significant advancements despite facing challenges such as high computational demands, difficulty in capturing ...
Musleh Alharthi, Ausif Mahmood
doaj   +1 more source