UNet based on dynamic convolution decomposition and triplet attention.

The robustness and generalization of medical image segmentation models are being challenged by the differences between different disease types, different image types, and different cases.Deep learning based semantic segmentation methods have been providing state-of-the-art performance in the last few years. One deep learning technique, U-Net, has become the most popular architecture in the medical imaging segmentation.

Triflic Acid/Silane Promoted Deoxygenative Transformation of Ketones via Carbocations.

Deoxygenative transformation of ketones into value-added products often suffers from precious-metal-based catalysts or complicated operational conditions. Triflic acid and silane serve as a cooperative reductant to transform ketones via carbocations that undergo β-H elimination much faster than hydride transfer from silane to produce alkenes with high selectivity. Alternatively, the presence of indoles would incept the protonated ketones to generate carbocations, allowing access to Csp-Csp bond formation with high reactivity and selectivity in "one pot".

Electrochemically enhanced deoxygenative cross-coupling of aryl ketones with heteroarenes through generated benzyl carbocations.

Triflic acids/silanes as cooperative reductants enable the convenient transformation of CO bonds through a multistep reaction pathway in one pot. Electrolysis of the acidic reaction mixture significantly improved carbonyl reduction and thus facilitated the generation of benzyl carbocations, which show high reactivity towards electron-rich heteroarenes for C-C bond formation.

Formation of Nanolaminated Structure with Enhanced Thermal Stability in Copper.

Nanolaminated structure with an average boundary spacing of 67 nm has been fabricated in copper by high-rate shear deformation at ambient temperature. The nanolaminated structure with an increased fraction of low angle grain boundaries exhibits a high microhardness of 2.1 GPa.

Clinical implications of β-catenin protein expression in breast cancer.

The objective of this study was to examine the expression and significance of β-catenin in the diagnosis and prognosis of breast cancer. Overall, 241 patients with histologically confirmed breast cancer who had undergone radical surgery were enrolled in this study. β-catenin protein expression in breast cancer samples was evaluated by immunohistochemistry.

[The relationship of abnormal expression of cell glucoprotein with recurrence of pleomorphic adenoma in salivary gland].

Objective: To study the relationship of expression of mucin 1 and E-cadherin with recurrence of pleomorphic adenoma in salivary gland, and to investigate the signal to predict the recurrence potential of the tumor.

Methods: ; The capsule of tumor was observed by microscope. The expression of mucin 1 and E-cadherin in 33 cases of primary adenoma, 12 cases of recurrent pleomorphic adenomas and 7 cases of malignant pleomorphic adenomas were detected by immunohistochemistry.