Results 51 to 60 of about 18,832 (283)

Bridging the Gap: Elusive Explosions in the Local Universe [PDF]

open access: yes, 2011
For centuries, we have known that our dynamic universe is adorned by cosmic fireworks: energetic and ephemeral beacons of light from a single star that are a million (nova) to a billion (supernova) times brighter than our sun. However, it had been an age-
Kasliwal, Mansi Manoj
core   +1 more source

GCN structure.

open access: yes, 2023
This paper improves the performance of the model by Graph Convolutional Network (GCN) and Firefly Algorithm (FA) to optimize the financial investment risk prediction model.
Muyang Li (72477)
core   +1 more source

Next‐Generation Water Treatment With Molybdenum Disulfide: Dual‐Functionality in Pollutant Adsorption and Photocatalysis

open access: yesAdvanced Materials Technologies, EarlyView.
ABSTRACT Molybdenum disulfide (MoS2) has attracted attention as a promising material due to the growing demand for environmentally friendly, cost‐effective, and efficient water treatment techniques. With its physicochemical characteristics, this stratified bidimensional material allows it to be highly effective in adsorption and catalytic performance ...
Pariksha Bishnoi   +4 more
wiley   +1 more source

Development of photocatalysis‐membrane separation reactor systems for aqueous pollutant removal

open access: yesPhotoMat, EarlyView., 2023
Abstract Background In our rapidly expanding society, the demand for clean water has steadily emerged as one of the most critical issues, promoting the development of numerous water treatment strategies. Aims Coupling photocatalysis and membrane separation technology provides an energy saving and environment‐friendly as well as sustainable method for ...
Junyang Zhang   +3 more
wiley   +1 more source

Impact of C4, C4A and C4B gene copy number variation in the susceptibility, phenotype and progression of systemic lupus erythematosus

open access: yesAdvances in Rheumatology, 2019
Background Complement component 4 (C4) gene copy number (GCN) affects the susceptibility to systemic lupus erythematosus (SLE) in different populations, however the possible phenotype significance remains to be determined.
Kaline Medeiros Costa Pereira   +7 more
doaj   +1 more source

Shaping Carbon Nitrides for Advanced Macrostructures

open access: yesAdvanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source

An EV load forecasting method for using GCN-LSTM

open access: yesZhejiang dianli
Traditional electric vehicle (EV) load forecasting methods often fail to fully utilize the spatial correlation among EV loads, resulting in low forecasting accuracy.
HUANG Jian   +5 more
doaj   +1 more source

Scheelite type Barium Tungstate Nanoparticles Decorated on Graphitic Carbon Nitride Nanocomposite for the Detection of Diphenylamine in Apple juice

open access: yesInternational Journal of Electrochemical Science, 2021
Herein, a Barium tungstate (BaWO4) and Graphitic carbon nitride (GCN) based a new electrochemical sensor (BaWO4/GCN/GCE), for the detection of diphenylamine (DPA).
Naveen Karuppusamy   +7 more
doaj   +1 more source

Small Extracellular Vesicles‐Derived Circ6718 Unlocks Stromal Remodeling and Serves as a Biomarker in Gastric Cancer

open access: yesAdvanced Science, EarlyView.
sEVs‐circ6718 serves as a promising serum biomarker for gastric cancer early diagnosis and prognosis, promoting malignant transformation in gastric cancer cells and GC‑MSC differentiation into CAFs. sEVs‑circ6718 holds potential as a biomarker for the early diagnosis and prognostic assessment of gastric cancer.
Fan Zhang   +7 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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