Recent studies have shown that the performance of single-image super-resolution methods
can be significantly boosted by using deep convolutional neural networks. In this study, we …

Inspired by nature, artificial photosynthesis through the construction of direct Z‐scheme
photocatalysts is extensively studied for sustainable solar fuel production due to the …

Exploring cheap and efficient cocatalysts for enhancing the performance of photocatalysts is
a challenge in the energy conversion field. Herein, 2D ultrathin Ti 3 C 2 nanosheets, a kind …

Oesophageal cancer is one of the most aggressive cancers and is the sixth leading cause of
cancer death worldwide 1 . Approximately 70% of global oesophageal cancer cases occur …

Photocatalytic CO 2 reduction for solar fuel production has received enormous attention due
to its ability for solving both energy crisis and CO 2 pollution. However, fabrication of cheap …

Efficiency of layered photocatalysts such as graphitic carbon nitride (g‐CN) is still too low
due to the poor utilization of photoexcited‐charge carriers. The major drawback is that the …

… Tong used elastic net regression to calculate grading biomarkers from MCI features, and
SVM was utilized to classify MCI converters/non-converters with grading biomarker. …

Algorithms for computer-aided diagnosis of dementia based on structural MRI have
demonstrated high performance in the literature, but are difficult to compare as different data sets …

Electrochemical water splitting to produce hydrogen bears a great commitment for future
renewable energy conversion and storage. By employing an in situ chemical vapor deposition (…

In response to DNA damage, the cell cycle checkpoint is an important biological event in
maintaining genomic fidelity. Gadd45, a p53-regulated and DNA damage inducible protein, has …