理工类高校研究生党建工作创新思路——基于“党团班组”四位一体联动机制的视角

本文以理工类大学为研究背景,联合一线辅导员深入调研G大学Q学院研究生党建工作,串联"党、团、班、组"四类组织,综合考量各类研究专业特点,细化党建工作,突破原有专业、班级的教育瓶颈,实现对研究生党员的日常化教育和个性化培养。     

基于油气藏渗流力学课程的创新创业深度研究融合

"油气藏渗流力学"作为石油工程专业主干课程,在日常教学中,多为理论知识教学,缺少实践教学活动。本文通过问卷调查,得出创新创业教育实际情况的相关数据。根据实际情况,以创新创业为方向,将其思想与内涵同"油气藏渗流力学"的教学计划及活动相结合。从课上到课下,从学校到学生,全方位、深层次、多方向地提出了模块教学、合理规划科技创新竞赛及跨专业联合教学模式三种教学改革方式。     

“互联网+”时代背景下“科研思路与方法”教学模式探讨

当前,国家对大学本科的教育愈发重视,提出了多种教改方案。面对“互联网+”快速发展的形势,文章分析了“互联网+”时代背景下“科研思路与方法”新型教学模式的优势以及如何高效率地构建。通过教师、学生、互联网三者协调配合以及师生的线上互动交流和讨论,可以充分调动学生独立思考、自主学习的积极性,同时增加了教学趣味性,提高了教学质量。     

新时代中国特色社会主义文化自信提升过程中的问题研究

“文化自信是更基础、更广泛、更深厚的自信”,能赐予新时代中国特色社会主义事业发展更基本、更深沉、更持久的动力。本文通过阐释新时代中国特色社会主义文化自信的多维内涵,梳理坚定新时代中国特色社会主义文化自信的重要意义,探寻提升新时代中国特色社会主义文化自信过程中存在的问题,希望能为提升文化自信做出些有益探索。     

Development of a space cold atom clock

Atomic clocks with cold atoms play important roles in the field of fundamental physics as well as primary frequency standards. Operating such cold atom clocks in space paves the way for further exploration in fundamental physics, for example dark matter and general relativity. We developed a space cold atom clock (SCAC), which was launched into orbit with the Space Lab TG-2 in 2016. Before it deorbited with TG-2 in 2019, the SCAC had been working continuously for almost 3 years. During the period in orbit, many scientific experiments and engineering tests were performed. In this article, we summarize the principle, development and in-orbit results. These works provide the basis for construction of a space-borne time-frequency system in deep space.     

Convergent genomic signatures of high-altitude adaptation among domestic mammals

Abundant and diverse domestic mammals living on the Tibetan Plateau provide useful materials for investigating adaptive evolution and genetic convergence. Here, we used 327 genomes from horses, sheep, goats, cattle, pigs and dogs living at both high and low altitudes, including 73 genomes generated for this study, to disentangle the genetic mechanisms underlying local adaptation of domestic mammals. Although molecular convergence is comparatively rare at the DNA sequence level, we found convergent signature of positive selection at the gene level, particularly the EPAS1 gene in these Tibetan domestic mammals. We also reported a potential function in response to hypoxia for the gene C10orf67, which underwent positive selection in three of the domestic mammals. Our data provide an insight into adaptive evolution of high-altitude domestic mammals, and should facilitate the search for additional novel genes involved in the hypoxia response pathway.     

Predicting future dynamics from short-term time series using an Anticipated Learning Machine

Predicting time series has significant practical applications over different disciplines. Here, we propose an Anticipated Learning Machine (ALM) to achieve precise future-state predictions based on short-term but high-dimensional data. From non-linear dynamical systems theory, we show that ALM can transform recent correlation/spatial information of high-dimensional variables into future dynamical/temporal information of any target variable, thereby overcoming the small-sample problem and achieving multistep-ahead predictions. Since the training samples generated from high-dimensional data also include information of the unknown future values of the target variable, it is called anticipated learning. Extensive experiments on real-world data demonstrate significantly superior performances of ALM over all of the existing 12 methods. In contrast to traditional statistics-based machine learning, ALM is based on non-linear dynamics, thus opening a new way for dynamics-based machine learning.     

Programmable deformation of patterned bimorph actuator swarm

Graphene-based actuators featuring fast and reversible deformation under various external stimuli are promising for soft robotics. However, these bimorph actuators are incapable of complex and programmable 3D deformation, which limits their practical application. Here, inspired from the collective coupling and coordination of living cells, we fabricated a moisture-responsive graphene actuator swarm that has programmable shape-changing capability by programming the SU-8 patterns underneath. To get better control over the deformation, we fabricated SU-8 micropattern arrays with specific geometries and orientations on a continuous graphene oxide film, forming a swarm of bimorph actuators. In this way, predictable and complex deformations, including bending, twisting, coiling, asymmetric bending, 3D folding, and combinations of these, have been achieved due to the collective coupling and coordination of the actuator swarm. This work proposes a new way to program the deformation of bilayer actuators, expanding the capabilities of existing bimorph actuators for applications in various smart devices.     

Genomic consequences of population decline in critically endangered pangolins and their demographic histories

Pangolins are among the most critically endangered animals due to heavy poaching and worldwide trafficking. However, their demographic histories and the genomic consequences of their recent population declines remain unknown. We generated high-quality de novo reference genomes for critically endangered Malayan (Manis javanica, MJ) and Chinese (M. pentadactyla, MP) pangolins and re-sequencing population genomic data from 74 MJs and 23 MPs. We recovered the population identities of illegally traded pangolins and previously unrecognized genetic populations that should be protected as evolutionarily distinct conservation units. Demographic reconstruction suggested environmental changes have resulted in a population size fluctuation of pangolins. Additionally, recent population size declines due to human activities have resulted in an increase in inbreeding and genetic load. Deleterious mutations were enriched in genes related to cancer/diseases and cholesterol homeostasis, which may have increased their susceptibility to diseases and decreased their survival potential to adapt to environmental changes and high-cholesterol diets. This comprehensive study provides not only high-quality pangolin reference genomes, but also valuable information concerning the driving factors of long-term population size fluctuations and the genomic impact of recent population size declines due to human activities, which is essential for pangolin conservation management and global action planning.