Correction of congenital auricle deformities with ear mould: A systematic review and meta-analysis.

Objective: To assess the effectiveness and safety of ear moulds for congenital auricle deformities.

Methods: Databases including Medline, EMBASE, Cochrane Library, Chinese BioMedical Literature Database (CBM) and Web of Science were systematically reviewed. Randomised controlled trials (RCT), non-randomised control trials (non-RCT), quasi-randomised control trials (quasi-RCT) and self-controlled before-after trials were also included.

A network meta-analysis of secondary attack rates of COVID-19 in different contact environments.

As the corona virus disease 2019 (COVID-19) pandemic continues around the world, understanding the transmission characteristics of COVID-19 is vital for prevention and control. We conducted the first study aiming to estimate and compare the relative risk of secondary attack rates (SARs) of COVID-19 in different contact environments. Until 26 July 2021, epidemiological studies and cluster epidemic reports of COVID-19 were retrieved from SCI, Embase, PubMed, CNKI, Wanfang and CBM in English and Chinese, respectively.

Effect of long-term weight gain on the risk of breast cancer across women's whole adulthood as well as hormone-changed menopause stages: A systematic review and dose-response meta-analysis.

Adult weight gain is a good indicator of excess body fatness for breast cancer risk. However, little is known about the effect of weight gain during other special periods in women's lifetime. A publication search in PubMed and Embase through April 2020 was conducted.

Learning Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes.

Despite the great success achieved by prevailing binary local descriptors, they are still suffering from two problems: 1) vulnerable to the geometric transformations; 2) lack of an effective treatment to the highly-correlated bits that are generated by directly applying the scheme of image hashing. To tackle both limitations, we propose an unsupervised Transformation-invariant Binary Local Descriptor learning method (TBLD). Specifically, the transformation invariance of binary local descriptors is ensured by projecting the original patches and their transformed counterparts into an identical high-dimensional feature space and an identical low-dimensional descriptor space simultaneously.

Obesity-related proteins score as a potential marker of breast cancer risk.

There is strong evidence to suggest that obesity-related proteins play a key role in pathways that are related to breast cancer. In this study, we aimed to establish a robust obesity-related protein score (ORPS) that could be used to assess breast cancer risk. Based on evidence from high-quality systematic reviews and population studies, we selected nine such proteins that are stable in vitro, and measured their circulating concentrations by ELISA in a case-control study conducted in Chengdu, Sichuan, China, with 279 breast cancer cases and 260 healthy controls.

Ear mold for congenital ear malformation: A randomized controlled trial.

Background: Congenital auricular deformities (CAD) are prevalent worldwide. The objective of this study is to investigate the effectiveness and safety of ear molding for children with CAD at their early days.

Methods: One hundred and nighty children (under 3 days) with CAD will be included in the study.