ZetaDesign: an end-to-end deep learning method for protein sequence design and side-chain packing.

Computational protein design has been demonstrated to be the most powerful tool in the last few years among protein designing and repacking tasks. In practice, these two tasks are strongly related but often treated separately. Besides, state-of-the-art deep-learning-based methods cannot provide interpretability from an energy perspective, affecting the accuracy of the design.

Inhibition of alternative oxidase disrupts the development and oviposition of Biomphalaria glabrata snails.

Background: Biomphalaria glabrata is one of the main intermediate hosts of Schistosoma mansoni, the most widespread species of Schistosoma. Our previous studies proved that alternative oxidase (AOX), the terminal oxidase in the mitochondrial respiratory chain, widely exists in several species of intermediate host snails of Schistosoma. Meanwhile, inhibition of AOX activity in Oncomelania hupensis snails could dramatically enhance the molluscicidal effect of niclosamide.

The identification of alternative oxidase in intermediate host snails of Schistosoma and its potential role in protecting Oncomelania hupensis against niclosamide-induced stress.

Background: Snail intermediate hosts are mandatory for the transmission of schistosomiasis, which has to date infected more than 200 million people worldwide. Our previous studies showed that niclosamide treatment caused the inhibition of aerobic respiration and oxidative phosphorylation, and the disruption of energy supply, in one of the intermediate hosts of schistosomiasis, Oncomelania hupensis, which eventually led to the death of the snails. Meanwhile, the terminal oxidase in the mitochondrial respiratory chain, alternative oxidase (AOX), was significantly up-regulated, which was thought to counterbalance the oxidative stress and maintain metabolic homeostasis in the snails.

Design and Evaluation of Personalized Percutaneous Coronary Intervention Surgery Simulation System.

In recent years, medical simulators have been widely applied to a broad range of surgery training tasks. However, most of the existing surgery simulators can only provide limited immersive environments with a few pre-processed organ models, while ignoring the instant modeling of various personalized clinical cases, which brings substantive differences between training experiences and real surgery situations. To this end, we present a virtual reality (VR) based surgery simulation system for personalized percutaneous coronary intervention (PCI).

Morphology and activities of cell populations of haemocytes in Oncomelania hupensis following Schistosoma japonicum infection.

Oncomelania hupensis is the only obligatory intermediate host of Schistosoma japonicum, the pathogen of zoonosis schistosomiasis. Haemocytes play a critical role in the cellular immune defence of O. hupensis against S.

[The Role of Virtual Reality Technology in Medical Education in the Context of Emerging Medical Discipline].

According to Healthy China, a national strategy of the Government of China, new requirements were put forward for high-quality medical education, high-level surgical research, and precise clinical diagnosis and treatment. In the context of Emerging Medical Discipline, a strategic blueprint of medical education in China, this paper reviews the concept and core value of virtual reality (VR) and its significant role in the medical industry. On that basis, we explore the role of VR technology in medical training against the background of Emerging Medicine Discipline.

The genetic variation of different developmental stages of Schistosoma japonicum: do the distribution in snails and pairing preference benefit the transmission?

Background: Schistosoma japonicum is a waterborne parasite that causes schistosomiasis in humans and in more than 40 animal species. Schistosoma japonicum shows distinct genetic differentiation among geographical populations and multiple hosts, but the genetic diversity of different developmental stages of S. japonicum from is less studied.

Context-Interactive CNN for Person Re-Identification.

Despite growing progresses in recent years, cross-scenario person re-identification remains challenging, mainly due to the pedestrians commonly surrounded by highly-complex environment contexts. In reality, the human perception mechanism could adaptively find proper contextualized spatial-temporal clues towards pedestrian recognition. However, conventional methods fall short in adaptively leveraging the long-term spatial-temporal information due to ever-increasing computational cost.

Convolutional demosaicing network for joint chromatic and polarimetric imagery.

Due to the latest progress in image sensor manufacturing technology, the emergence of a sensor equipped with an RGGB Bayer filter and a directional polarizing filter has brought significant advantages to computer vision tasks where RGB and polarization information is required. In this regard, joint chromatic and polarimetric image demosaicing is indispensable. However, as a new type of array pattern, there is no dedicated method for this challenging task.

ARL3 subcellular localization and its suspected role in autophagy.

ADP-ribosylation factor-like3 (ARL3) is a member of the ADP-ribosylation factor family of GTP-binding proteins that plays important role in regulating Ciliary trafficking. It ubiquitously expressed in normal tissues and tumor cell lines. However, the location and function of ARL3 in organelles are rarely known.

[Enzymology of snails under treatment of molluscicides].

Studies on the enzymology of snails are important in the study of molluscicidal mechanism. The alteration of activities of enzymes after molluscicidal treatment was reported in large numbers of papers. This paper reviews the progress of studies on the enzymology of snails under the treatment of molluscicides.

[Survey of knowledge and practice of residents about schistosomiasis prevention and control in endemic areas of Jingzhou City].

Objective: To investigate the knowledge and practice of residents about schistosomiasis prevention and control in endemic areas of Jingzhou City, Hubei Province after the disease transmission being controlled, so as to provide the valuable information for formulating an efficient health education and intervention strategy.

Methods: The residents were selected by using the cluster sampling method and investigated with questionnaires in Jiangling County and Gong'an County, Jingzhou City, Hubei Province, and the data were analyzed by using the descriptive analysis method, Chi-square tests and logistic regression.

Results: In a total, 826 available questionnaires were obtained with 100% of valid rate.

[Progress of molecular detection of ].

Schistosomiasis diagnosis plays an important role in the schistosomiasis control. The early detection of schistosomiasis can help to find the infectious source and prevent advanced schistosomiasis effectively. Up to now, serodiagnosis and parasitological diagnosis are used commonly to detect the infection of .

[Identification of a myeloid differentiation factor 88 (MyD88) in against infection].

Objective: To identify a myeloid differentiation factor 88 (MyD88) in , and characterize the role of MyD88 against infection.

Methods: The complete cDNA of MyD88 in was obtained by using rapid amplification of cDNA ends (RACE), and homologues sequences and conserved domains were aligned and the structure of MyD88 was predicted either. A phylogenetic tree of MyD88 was further constructed with other species.

Immunization with recombinant schistosome adenylate kinase 1 partially protects mice against Schistosoma japonicum infection.

Highly effective and safe prophylactic vaccines are urgently needed to sustainably control schistosomiasis, one of the most serious endemic zoonoses in China. In this study, we characterized adenylate kinase 1 from Schistosoma japonicum (SjAK1), a phosphotransferase that regulates cellular energy and metabolism, and evaluated its potential as a recombinant vaccine. Based on real-time quantitative PCR, western blot, and immunolocalization, SjAK1 is active throughout the life of the worm, although its expression is higher in 21-day-old schistosomula, adult worms, and eggs deposited in the host liver.

A Layered Approach for Robust Spatial Virtual Human Pose Reconstruction Using a Still Image.

Pedestrian detection and human pose estimation are instructive for reconstructing a three-dimensional scenario and for robot navigation, particularly when large amounts of vision data are captured using various data-recording techniques. Using an unrestricted capture scheme, which produces occlusions or breezing, the information describing each part of a human body and the relationship between each part or even different pedestrians must be present in a still image. Using this framework, a multi-layered, spatial, virtual, human pose reconstruction framework is presented in this study to recover any deficient information in planar images.

Learn Sparse Dictionaries for Edit Propagation.

With the increasing availability of high-resolution images, videos, and 3D models, the demand for scalable large data processing techniques increases. We introduce a method of sparse dictionary learning for edit propagation of large input data. Previous approaches for edit propagation typically employ a global optimization over the whole set of pixels (or vertexes), incurring a prohibitively high memory and time-consumption for large input data.

[Progress of pattern recognition receptors of molluscs].

Molluscs have established complete innate immunity to defense against pathogens. The pattern recognition receptors (PRRs) are the sensory receptors of molluscs to resist outside invaders, as the first reactor to initiate the innate immune response. Some PRRs have been identified in several molluscs, including Toll-like receptors (TLRs) , C-type lectins, galectins, lipopolysaccharide-β-1,3-glucan binding protein (LGBP), Clq domain-containing protein (ClqDC), and peptidoglycan recognition protein (PGRP).

Learning templates for artistic portrait lighting analysis.

Lighting is a key factor in creating impressive artistic portraits. In this paper, we propose to analyze portrait lighting by learning templates of lighting styles. Inspired by the experience of artists, we first define several novel features that describe the local contrasts in various face regions.

Geodesic propagation for semantic labeling.

This paper presents a semantic labeling framework with geodesic propagation (GP). Under the same framework, three algorithms are proposed, including GP, supervised GP (SGP) for image, and hybrid GP (HGP) for video. In these algorithms, we resort to the recognition proposal map and select confident pixels with maximum probability as the initial propagation seeds.

GPU-based skin texture synthesis for digital human model.

Skin synthesis is important for the actual appearance of digital human models. However, it is difficult to design a general algorithm to efficiently produce high quality results. This paper proposes a parallel texture synthesis method for large scale skin of digital human models.

[Views for research development of control of parasitic diseases].

With the social and technological development, new understandings have been emerged for the research development of the control of parasitic diseases. The present review argues that: the traditional point of view for the control of parasitic diseases, eliminating parasites/media, should be updated. For the long-term interests of science and human perspective, biological diversity, including the parasite biodiversity, and ecological environment should be paid much more attention during the control of parasitic diseases.

Multimodal medical image fusion using improved multi-channel PCNN.

Multimodal medical image fusion is a method of integrating information from multiple image formats. Its aim is to provide useful and accurate information for doctors. Multi-channel pulse coupled neural network (m-PCNN) is a recently proposed fusion model.

Face illumination manipulation using a single reference image by adaptive layer decomposition.

This paper proposes a novel image-based framework to manipulate the illumination of human face through adaptive layer decomposition. According to our framework, only a single reference image, without any knowledge of the 3D geometry or material information of the input face, is needed. To transfer the illumination effects of a reference face image to a normal lighting face, we first decompose the lightness layers of the reference and the input images into large-scale and detail layers through weighted least squares (WLS) filter with adaptive smoothing parameters according to the gradient values of the face images.

Cloning and characterization of a bone morphogenetic protein homologue of Schistosoma japonicum.

Bone morphogenetic proteins (BMPs) are known to play an important role in the regulation of cell proliferation, survival, differentiation and apoptosis in many vertebrates and invertebrates through the TGF-β signaling pathway. Although the TGF-β signaling pathway exists in schistosomes, BMP homologue, a ligand of TGF-β in Schistosoma japonicum, has not yet been identified. In this study, a BMP homologue of S.