Research and Application Progress of Vegetation Porous Concrete.

Vegetation porous concrete is a novel material that integrates concrete technology with plant growth, offering excellent engineering applicability and environmental friendliness. This material is mainly utilized in eco-engineering projects such as riverbank protection, architectural greening, and slope protection along roads. This paper systematically reviews the current research progress of vegetation porous concrete by collecting and analyzing the relevant literature from both domestic and international sources.

Velvet antler water extract protects porcine oocytes from lipopolysaccharide-induced meiotic defects.

Previous studies have demonstrated that lipopolysaccharide (LPS), as a central toxic factor of gram-negative bacteria, can induce oxidative stress and cellular inflammation to result in the impairment of female fertility in different organisms. Particularly, it has harmful effects on the oocyte quality and subsequent embryonic development. However, the approach concerning how to prevent oocytes from LPS-induced deterioration still remains largely unexplored.

The Biosynthesis of the Benzoxazole in Nataxazole Proceeds via an Unstable Ester and has Synthetic Utility.

Heterocycles, a class of molecules that includes oxazoles, constitute one of the most common building blocks in current pharmaceuticals and are common in medicinally important natural products. The antitumor natural product nataxazole is a model for a large class of benzoxazole-containing molecules that are made by a pathway that is not characterized. We report structural, biochemical, and chemical evidence that benzoxazole biosynthesis proceeds through an ester generated by an ATP-dependent adenylating enzyme.

Strong 3D Printing by TPMS Injection.

3D printed objects are rapidly becoming prevalent in science, technology and daily life. An important question is how to obtain strong and durable 3D models using standard printing techniques. This question is often translated to computing smartly designed interior structures that provide strong support and yield resistant 3D models.

Shape vocabulary: a robust and efficient shape representation for shape matching.

In this paper, a learning-based shape descriptor for shape matching is demonstrated. Formulated in a bag-of-words like framework, the proposed method summarizes the local features extracted from certain shape to generate a integrated representation. It contributes to the speed-up of shape matching, since the distance metric in the vector space analysis can be directly applied to compare the constructed global descriptors, eliminating the time consuming stage of local feature matching.