B^(2)C^(3)NetF^(2):Breast cancer classification using an end‐to‐end deep learning feature fusion and satin bowerbird optimization controlled Newton Raphson feature selection

Currently,the improvement in AI is mainly related to deep learning techniques that are employed for the classification,identification,and quantification of patterns in clinical images.The deep learning models show more remarkable performance than the traditional methods for medical image processing tasks,such as skin cancer,colorectal cancer,brain tumour,cardiac disease,Breast cancer(BrC),and a few more.The manual diagnosis of medical issues always requires an expert and is also expensive.Therefore,developing some computer diagnosis techniques based on deep learning is essential.Breast cancer is the most frequently diagnosed cancer in females with a rapidly growing percentage.It is estimated that patients with BrC will rise to 70%in the next 20 years.If diagnosed at a later stage,the survival rate of patients with BrC is shallow.Hence,early detection is essential,increasing the survival rate to 50%.A new framework for BrC classification is presented that utilises deep learning and feature optimization.The significant steps of the presented framework include(i)hybrid contrast enhancement of acquired images,(ii)data augmentation to facilitate better learning of the Convolutional Neural Network(CNN)model,(iii)a pre‐trained ResNet‐101 model is utilised and modified according to selected dataset classes,(iv)deep transfer learning based model training for feature extraction,(v)the fusion of features using the proposed highly corrected function‐controlled canonical correlation analysis approach,and(vi)optimal feature selection using the modified Satin Bowerbird Optimization controlled Newton Raphson algorithm that finally classified using 10 machine learning classifiers.The experiments of the proposed framework have been carried out using the most critical and publicly available dataset,such as CBISDDSM,and obtained the best accuracy of 94.5%along with improved computation time.The comparison depicts that the presented method surpasses the current state‐ofthe‐art approaches.

Research on the E-Learning Application of Web Service

This thesis introduces the e-learning system and Web Service technology. Then, it proposes how to apply Web Service technology to the e-learning system; and how to improve systematic flexibility and dependability. Finally it provides the basic framework of the system and a simple realization according to related specification.

The Construction of Learning Object： Tools for the Teaching

The main objective of this work was the construction of a Multidisciplinary Learning Object as a tool for teaching, enabling the use of information and communication technologies for use by teachers acting in elementary school, based on Discourse Analysis, Theory Cybernetic-systemic, the Multiple Intelligences and Collaborative Learning. All of them are informed by Foucault, Pecheux, Bakhtin, Gardner, Levy, and others. The theoretical contribution is justified to the extent that the student is above all a being inserted into a user company tool created by it over time, to act on the world. Theoretical principles underlying the construction of learning objects as tools for teaching are related to teaching and learning. The developed learning object establishes the link between the fields of pedagogy and usability, the step by step construction of each of them and their purposes, characteristics, and all detailed in the development of research. The construction of the learning object follows the steps of a methodological construction for the development of a computerized product, followed by a systematic planning and the design and construction.

工程教育专业认证背景下地方应用型高校多元混合式一流课程建设--以“材料力学”为例

从工程教育专业认证的视角来看,课程教学已经不再以“内容为本”,教学内容、资源、手段和组织形式等需要围绕实现课程教学目标和达成学生预期学习成果而展开。将金课的“两性一度”、工程教育专业认证的“三大理念”和BOPPPS(bridge-in, objective, pre-assessment, participatory learning, post-assessment, summary)教学模型的“六个模块”相结合,探索了一种“导入有创新、目标较高阶、前测有挑战、以学生为中心的交互、以产出为导向的后测和持续改进的总结”的教学模式。以“材料力学”课程为例,探索在一流课程建设过程中,教师应该“如何教、教什么”才能让学生“乐于学、学的到”,逐步形成了以“课程目标—资源建设—组织实施—综合评价—持续改进”的集知识传授、能力培养和价值塑造为一体的课程教学闭环。

Effective Face-to-faceTutorials of Online English Learning Lie in Interaction of Affective Domain and Higher Levels of Cognitive Domain of Bloom＇s Taxonomy

Online English learning as an outcome of the rapid development of the Internet has got a wider and wider market in China. However, problems of varieties have also occurred along its way. People never stop thinking of better strategies either in designing online course wares or tutorials to help smooth the learning process. My experience as a tutor is that interaction of affective domain and higher levels of cognitive domain of Bloom＇s Taxonomy plays an important role in face-to-face tutorials of online English learning.

The psychological teaching approach to basic foreign language teaching

Basic foreign language teaching for language majors plays a significant role in the process of foreign language teaching and is also a crucial stage in the training of foreign language talents. During the stage teachers should learn about students＇ learning motives and the beginners＇ psychological state to rouse students＇ interest and mobilize their initiatives so that students can change from passive learning to active learning. The teaching effects will thereby be substantially enhanced.

Teaching Locally, Engaging Globally to Enhance the Undergraduate Curriculum： A Social Science Research and Evaluation Perspective

The purpose of this project is to reach more students in food, agricultural, and environmental sciences with a globalized undergraduate curriculum, by providing contextually-rich reusable learning objects （RLOs） and authentic case studies that address multidisciplinary issues. Reusable learning objects （RLOs） are self--contained, digital learning activities that range in length from 2 to 15 minutes. RLOs can contain a wide array of media, including text, web sites, charts, maps, models, PowerPoint presentations, photos, case studies, simulations, video clips, audio clips, and assessments, Food and agricultural sciences faculty at the University of Florida, the University of Georgia, and Texas A＆M University have been selected to be part of a Faculty Learning Community that Will work together in curriculum and RLO development, and will participate in an international study experience funded by this project. For each experience, a group of approximately ten faculty and three project team members will spend roughly two weeks in a Latin American/Caribbean basin country. Various social science data collection processes and evaluation strategies will be the focus of the presentation. The use of preflective and reflective instruments to measure initial attitudes or beliefs about the context-rich multidisciplinary experience and expected gains from participating in the curricula development will be demonstrated.

Neural plasticity in high-level visual cortex underlying object perceptual learning

With intensive training, human can achieve impressive behavioral improvement on various perceptual tasks. This phenomenon, termed perceptual learning, has long been considered as a hallmark of the plasticity of sensory neural system. Not surprisingly, high-level vision, such as object perception, can also be improved by perceptual learning. Here we review recent psychophysical, electrophysiological, and neuroimaging studies investigating the effects of training on object selective cortex, such as monkey inferior temporal cortex and human lateral occipital area. Evidences show that learning leads to an increase in object selectivity at the single neuron level and/or the neuronal population level. These findings indicate that high-level visual cortex in humans is highly plastic and visual experience can strongly shape neural functions of these areas. At the end of the review, we discuss several important future directions in this area.