The Multifaceted Role of Hypoxia‐Inducible Factor 1 (HIF1) in Lipid Metabolism

Hypoxia‐inducible factor 1 (HIF1) is a master transcription factor and regulates expression of a large number of genes involving many aspects of biology. In addition to HIF1\u27s roles in glucose metabolism and angiogenesis, numerous studies have revealed an emerging role of HIF1 in controlling lipid homeostasis. In this chapter, we discuss that lipid accumulation is related to HIF1\u27s activity in several diseases and the growing evidence demonstrating the functional importance of HIF1 in controlling lipid metabolism. The functions include lipid uptake and trafficking, fatty acid metabolism, sterol metabolism, triacylglycerol synthesis, phospholipid metabolism, lipid droplet biogenesis, and lipid signaling. Defining the role of HIF1 in lipid metabolism is crucial to understand the pathophysiology of lipid in disease and may help us to identify additional target sites for drug development. This review would shed light on our understanding of the critical role of HIF1 in lipid metabolism

A study of sustainable practices in the sustainability leadership of international contractors

With an increasing global need for sustainable development, numerous world‐leading construction corporations have devoted significant efforts to implementing sustainable practices. However, few previous studies have shared these valuable experiences in a systematic and quantitative way. RobecoSAM has published The Sustainability Yearbook annually since 2004, which lists the sustainability leaders in various industries, including the construction industry. Learning from those sustainability leaders in the construction industry can provide useful references for construction‐related companies when developing their sustainable development strategies. Based on a comprehensive literature review, this paper identified 51 methods used for improving sustainability performance and 34 outcomes achieved via these methods. These methods and outcomes are used for coding the sustainable practices of sustainability leaders in the construction sector. Using the coding system, 133 annual sustainability reports issued by 22 sustainability leaders (The Sustainability Yearbook, RobecoSAM 2010–2016) in the construction sector were analyzed using content analysis. Social network analysis was then employed to identify the key adopted methods and achieved outcomes (KAMAO) of these leaders. The dynamic trend and regional analysis of KAMAO are also presented. These KAMAO findings provide valuable guidance for international contractors to develop a better understanding of the primary sustainable methods adopted by sustainability leaders in the construction sector and the top outcomes achieved by these leaders. The findings also provide a useful reference for international contractors to evaluate their current sustainability‐related strategies and make improvements.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/156206/2/sd2020.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/156206/1/sd2020_am.pd

Structures of an intramembrane vitamin K epoxide reductase homolog reveal control mechanisms for electron transfer

The intramembrane vitamin K epoxide reductase (VKOR) supports blood coagulation in humans and is the target of the anticoagulant warfarin. VKOR and its homologs generate disulfide bonds in organisms ranging from bacteria to humans. Here, to better understand the mechanism of VKOR catalysis, we report two crystal structures of a bacterial VKOR captured in different reaction states. These structures reveal a short helix at the hydrophobic active site of VKOR that alters between wound and unwound conformations. Motions of this “horizontal helix” promote electron transfer by regulating the positions of two cysteines in an adjacent loop. Winding of the helix separates these “loop cysteines” to prevent backward electron flow. Despite these motions, hydrophobicity at the active site is maintained to facilitate VKOR catalysis. Biochemical experiments suggest that several warfarin-resistant mutations act by changing the conformation of the horizontal helix. Taken together, these studies provide a comprehensive understanding of VKOR function

A Comprehensive Approach for Thermal Comfort Analysis in Green Intelligent Buildings Using BIM Technology

With the development of social economy and environmental pollution problems increasing, green intelligent building has become an inevitable trend in the development of modern architecture, which is of great significance for the sustainable development of the construction industry and environmental protection. This thesis aims to explore the feasibility of using green intelligent buildings as the general development direction for modern buildings in China based on big data, and to propose a BIM technology-based building energy consumption simulation method and thermal comfort analysis method to provide a scientific basis for the design and construction of green intelligent buildings. Based on the evolutionary stages and general process of modern architecture and the rise and evolution of the green smart building concept, we present an overview of BIM technology and green smart buildings, and propose a BIM-based method for simulating building energy consumption and thermal comfort analysis. We conducted experimental design and data collection, and analysed and discussed the results. The results show that the BIM-based approach can effectively improve the prediction accuracy of building energy consumption and the accuracy of thermal comfort assessment. Furthermore, we believe that the practical significance of this research method is that it promotes the development of greening modern buildings in China, and also provides theoretical and methodological support for further research in related fields

Research on Energy-Saving Design of Overhead Travelling Crane Camber Based on Probability Load Distribution

Crane is a mechanical device, used widely to move materials in modern production. It is reported that the energy consumptions of China are at least 5–8 times of other developing countries. Thus, energy consumption becomes an unavoidable topic. There are several reasons influencing the energy loss, and the camber of the girder is the one not to be neglected. In this paper, the problem of the deflections induced by the moving payload in the girder of overhead travelling crane is examined. The evaluation of a camber giving a counterdeflection of the girder is proposed in order to get minimum energy consumptions for trolley to move along a nonstraight support. To this aim, probabilistic payload distributions are considered instead of fixed or rated loads involved in other researches. Taking 50/10 t bridge crane as a research object, the probability loads are determined by analysis of load distribution density functions. According to load distribution, camber design under different probability loads is discussed in detail as well as energy consumptions distribution. The research results provide the design reference of reasonable camber to obtain the least energy consumption for climbing corresponding to different P0; thus energy-saving design can be achieved

KASP-IEva: an intelligent typing evaluation model for KASP primers

KASP marker technology has been used in molecular marker-assisted breeding because of its high efficiency and flexibility, and an intelligent evaluation model of KASP marker primer typing results is essential to improve the efficiency of marker development on a large scale. To this end, this paper proposes a gene population delineation method based on NTC identification module and data distribution judgment module to improve the accuracy of K-Means clustering, and introduces a decision tree to construct the KASP-IEva primer typing evaluation model. The model firstly designs the NTC identification module and data distribution judgment module to extract four types of data, grouping and categorizing to achieve the improvement of the distinguishability of amplification product signals; secondly, the K-Means algorithm is used to aggregate and classify the data, to visualize the five aggregated clusters and to obtain the morphology location eigenvalues; lastly, the evaluation criteria for the typing effect level are constructed, and the logical decision tree is used to make conditional discrimination on the eigenvalues in order to realize the score prediction. The performance of the model was tested by the KASP marker typing test results of 2519 groups of cotton varieties, and the following conclusions were obtained: the model is able to visualize the aggregation and classification effects of the amplification products of NTC, pure genotypes, heterozygous genotypes, and untyped genotypes, enabling rapid and accurate KASP marker typing evaluation. Comparing and analyzing the model evaluation results with the expert evaluation results, the average accuracy rate of the four grades evaluated by the model was 87%, and the overall evaluation results showed an uneven distribution of the grades with significant differential characteristics. When evaluating 2519 KASP fractal maps, the expert evaluation consumes 15 hours, and the model evaluation only uses 8min27.45s, which makes the model intelligent evaluation significantly better than the expert evaluation from the perspective of time. The establishment of the model will further enhance the application of KASP markers in molecular marker-assisted breeding and provide technical support for the large-scale screening and identification of excellent genotypes