PYY in developing murine islet cells: comparisons to development of islet hormones, NPY, and BrdU incorporation

Exhaustive characterizations of antisera to the structurally related peptides pancreatic polypeptide (PP), neuropeptide Y (NPY), and peptide YY (PYY) enabled us to establish the developmental pattern of these peptides in rat and mouse pancreas. PYY was the earliest detectable peptide and was present in all early appearing endocrine cell types. NPY appeared later and occurred exclusively in a subpopulation of insulin cells, whereas PP cells arose latest. At the earliest stage studied, all endocrine cells stored PYY. Most of these cells also contained glucagon. Subsequently, the endocrine cells comprised glucagon+PYY cells and glucagon+PYY+insulin cells. Later, cells storing either only insulin or insulin+PYY appeared. Quantitations of the relative numbers of these cell populations during development were consistent with a precursor role of triple-positive (insulin+glucagon+PYY) cells. Moreover, bromodeoxyuridine (BrdU) injections at E15.5 showed that a large percentage of triple-positive cells were in S-phase and therefore were actively dividing, whereas almost no pure insulin cells or insulin+PYY cells synthesized DNA at this time. These results suggest that PYY-positive endocrine cells may represent precursors for mature islet cells.     

编程绘制数学曲线的探讨

通过编写程序输出数学曲线,具有一定的趣味性,可以开阔编程视野。只要具有初级程序设计能力,再结合有关数学知识就能实现。程序设计的思想是利用数学公式求得多个位置值,用Tab函数定位,用Print语句在这些位置上分别输出符号“”,从而得到由多个“”组成的数学曲线,例如三角函数曲线、抛物线曲线、半圆曲线及概率曲线等。     

云存储与医院数字化建设

提出了云存储的概念,分析了云存储的结构模型及其优点,为医院数字化建设提供了新的存储系统架构模型。     

A conditional classification recurrent RBM for improved series mid-term forecasting

In the context of human-robot and robot-robot interactions, the better cooperation can be achieved by predicting the other party’s subsequent actions based on the current action of the other party. The time duration for adjustment is not sufficient provided by short term forecasting models to robots. A longer duration can by achieved by mid-term forecasting. But the mid-term forecasting models introduce the previous errors into the follow-up forecasting and amplified gradually, eventually invalidating the forecasting. A new mid-term forecasting with error suppression based on restricted Boltzmann machine(RBM) is proposed in this paper. The proposed model can suppress the error amplification by replacing the previous inputs with their features, which are retrieved by a deep belief network(DBN). Furthermore, a new mechanism is proposed to decide whether the forecasting result is accepted or not. The model is evaluated with several datasets. The reported experiments demonstrate the superior performance of the proposed model compared to the state-of-the-art approaches.

     

GRU-based capsule network with an improved loss for personnel performance prediction

Applied Intelligence - Personnel performance is a key factor to maintain core competitive advantages. Thus, predicting personnel future performance is a significant research domain in human...     

A graph-based QoS prediction approach for web service recommendation

Applied Intelligence - With the development of the Internet, the recommendation based on Quality of Service(QoS) is proven to be an efficient way to deal with the ever-increasing web services in...     

赋权学生:混合式学习模式的应有之意——以通识类课程社会学的教学实践为例

工业化时代的传统教学模式已滞后于后福特主义生产模式对劳动者的需要。混合式学习模式在最近二十年发展起来,具有知识载体的多元化、知识获取的易得性,以及知识形式的丰富性等显著特征。在社会学的课程实践中,运用混合式学习模式,将赋权学生的教学理念融入课前、课中和课后三个阶段,精心的教学设计激发学生的主体意识,取得较好的教学效果。     

高等职业院校示范基层教研室建设——以安徽卫生健康职业学院妇外护理教研室为例

高等职业学校教研室是组织教学活动、培养高质量人才的基本单元,对提升学校教学质量和高水平人才培养意义重大.文章根据对基层教研室建设过程中存在问题的分析,以安徽卫生健康职业学院妇外护理教研室建设为例,介绍了省级示范基层教研室在规章制度、专业、课程与教材、实训室建设和管理、课题研究等方面的特色做法,具有一定的示范引领作用.