The general design of the automation for multiple fields using reinforcement learning algorithm

<p>Reinforcement learning is considered as a machine learning technique that is anxious with software agents should behave in particular environment. Reinforcement learning (RL) is a division of deep learning concept that assists you to make best use of some part of the collective return. In this paper evolving reinforcement learning algorithms shows possible to learn a fresh and understable concept by using a graph representation and applying optimization methods from the auto machine learning society. In this observe, we stand for the loss function, it is used to optimize an agent’s parameter in excess of its knowledge, as an imputational graph, and use traditional evolution to develop a population of the imputational graphs over a set of uncomplicated guidance environments. These outcomes in gradually better RL algorithms and the exposed algorithms simplify to more multifaceted environments, even though with visual annotations.</p>

Improving Classification Accuracy of Pulmonary Nodules using Simplified Deep Neural Network

Background: Lung cancer is among the major causes of death in the world. Early detection of lung cancer is a major challenge. These encouraged the development of Computer-Aided Detection (CAD) system. Objectives: We designed a CAD system for performance improvement in detecting and classifying pulmonary nodules. Though the system will not replace radiologists, it will be helpful to them in order to accurately diagnose lung cancer. Methods: The architecture comprises of two steps, among which in the first step CT scans are pre-processed and the candidates are extracted using the positive and negative annotations provided along with the LUNA16 dataset, and the second step consists of three different neural networks for classifying the pulmonary nodules obtained from the first step. The models in the second step consist of 2D-Convolutional Neural Network (2D-CNN), Visual Geometry Group-16 (VGG-16) and simplified VGG-16, which independently classify pulmonary nodules. Results: The classification accuracies achieved for 2D-CNN, VGG-16 and simplified VGG-16 were 99.12%, 98.17% and 99.60%, respectively. Conclusion: The integration of deep learning techniques along with machine learning and image processing can serve as a good means of extracting pulmonary nodules and classifying them with improved accuracy. Based on these results, it can be concluded that the transfer learning concept will improve system performance. In addition, performance improves proper designing of the CAD system by considering the amount of dataset and the availability of computing power.

Implementasi Teknik Penilaian Blended Learning Pada Keterampilan Pembelajaran Fiqih Masa Pandemi Covid-19

The purpose of this study was to determine the application of the skill aspect of blended learning assessment techniques in fiqh learning during the covid-19 pandemic at Madrasah Ibtidaiyah Ngabar Ponorogo. The method used in this study uses a qualitative approach. The data collection using interview and documentation techniques. The results of this study indicate that the learning concept used in Madrasah Ibtidaiyah Ngabar Ponorogo uses a combination of two learning systems, namely online and offline or blended learning. The technique for assessing the skill aspect of blended learning uses performance appraisal techniques or practices and products in fiqih learning during the covid-19 pandemic and in its implementation there are advantages and disadvantages. The conclusion of this study is that the learning of fiqh at Madrasah Ibtidaiyah Ngabar Ponorogo applies a blended learning model with techniques for assessing aspects of performance skills or practices and products that are going well even though there are shortcomings in implementation in the field during the covid-19 pandemic.

Visual learning style-based chemistry mental model representation through transformative online learning

Analysis of learning styles is one of the main things teachers need to do before carrying out teaching. The study of learning styles can provide an overview of how a teacher designs a learning concept by students’ learning styles. The learning process will show students’ mental models with their respective learning styles so that these mental models become the primary material for how teachers develop students’ cognitive. This research aimed to describe students’ mental models in terms of students’ visual learning styles. The method used is descriptive with qualitative and quantitative approaches with transformative-based learning concepts. The research results show that chemistry education students for chemistry learning innovation courses only have visual learning styles of 71.43% and audio by 28.55% and do not have kinaesthetic learning styles. This research focuses on visual learning styles to see students’ mental models. The conclusion is that students still need cognitive strengthening, especially the ability to interpret phenomena at the sub microscopic level. With the visual learning style, students are expected to transform their cognitive so that they have mental structures and models relevant in theory and terminology.

Pedagogical challenges in Distance Learning during COVID-19 conditions – Experience of Latvia

Due to the global pandemic caused by the spread of coronavirus disease, the educational process has experienced very significant transformations – in the pedagogical process both pupils and parents, teachers and education policy makers have encountered essential challenges and an unprecedent experience The aim of the research, based on the theoretical study of the distance learning concept and empirical research, and finding out the teachers’ attitude towards distance learning, is to describe the Latvia experience in distance learning during COVID-19 conditions. The research's methodology is based on teacher survey, regulatory analysis, and concessional analysis. The study highlights problems in the context of distance learning and makes a significant contribution to further research. Analysing the results of the empirical study and outcomes of the survey, it has been concluded that teachers feel psycho-emotional and physiological overload due to distance education. Keywords: distance learning; education; pedagogical process; pupil; teacher

Restructuring of a Hospital Radiology Department: Subspecialization Between Man, Machine, and Multidisciplinary Board

Background Radiology, like almost no other discipline, is faced with a rapid increase in information and technology. This and the growing demands regarding referring medicine, quality requirements, and personnel efficiency increasingly require subspecialization in terms of content. There is already an established move towards radiological subspecialization in the Anglo-American region. In this review article, the content and possibilities of restructuring a hospital radiology department are presented in order to support acceptance in German-speaking countries. Method Based on the current literature, the aspects of subspecialized radiology as well as its necessity, advantages, and disadvantages are discussed and the challenges to hospital management with respect to strategic implementation in the individual phases are presented based on the example of a university radiology department. The viewpoints also take into account the education regulations and integrate a modern learning concept. Results and Conclusion Modern restructuring of hospital radiology departments is faced with increasing demands on a traditionally technically organized radiology department with regard to the complexity of referring medicine, subspecialization pressure (including in certified boards), and staff efficiency. The restructuring of a radiology department must be aligned with the clinical requirements and discussed in the overall concept of radiology including its environment. Key points: Citation Format

Evaluation of An Online Learning Concept For Nursing Students In Caring For Patients With Dementia: Results of A Questionnaire Survey

Background: Dementia is a major public health concern. Nurses have a key role in caring for patients with dementia and to relieve caregivers. To prepare them for adequate demand-oriented nursing care provision, there is a need for training and education. Due to the current Covid-19 pandemic, an online course with focus on a health care need assessment was developed.Methods: The Elaine Study is a quantitative study using questionnaire-based interviews. The recruitment of nursing students for the study was guided by following inclusion criteria (a) second-year nursing students participating in the module ‘caring for elderly patients’, (b) less than three missing lectures. Of all nursing students (N=127), n=48 met the inclusion criteria. Twenty-eight students participated. Quantitative data were analyzed by descriptive statistics. For analyzing possible relations between lectures evaluations aspects among each other, the Spearman correlation was used. Collected qualitative data were analyzed by the Kuckartz suggested qualitative content analysis using the software MAXQDA.Results: Nursing students judged the overall course structure as very well (M 1.36, SD 0.48). Learning aims were clear defined (M 1.61, SD 0.68), learning contents have been properly demonstrated (M 1.68, SD 0.67) and teaching methods contribute the understanding (M 1.63, SD 0.62). The exercise on the Geriatric Assessment promote the internal learning process (M 1.67, SD 1.00) and the final online simulation training made lecture contents easier to understand (M 1.86, SD 0.89). Correlation were determined among the course structure and the (1) clear definition of learning aims (rSp 0.566, p=0.002), (2) presentations and references are made available (rSp 0.514, p=0.005), (3) teaching methods contribute the understanding (rSp 0.535, p= 0.004) and (4) an increase of individual learning ability (rSp 0.573, p=0.001). Implication for improvement proposes a reduction of nursing students team members from four or five to a work in teams of two nursing students.Conclusions: The Elaine study describes the feasibility of an online learning concept for nursing students in caring for patients with dementia. To identify actual impact on patient’s health and on caregiver burden as well, further studies are needed.

PENANAMAN ETIKA KOMUNIKASI BISRI MUSTOFA DALAM PROSES PEMBELAJARAN DI MA NURUL ISLAM BOYOLALI

This study aims to explore Bisri Mustofa's conception of the ethics of community communication and its application in MA Nurul Islam Boyolali. This research is a qualitative field research with a case study approach. The paradigm used is constructivism-interpretive paradigm. The data analysis technique goes through three stages, namely data reduction, data presentation, and drawing conclusions. The concept used in this research is the learning concept of Bisri Mustofa. The results conclude that: Bisri Mustofa's conception in education is to pay special attention to how to convey information to others in good language, and the absence of one's feelings in communicating. This conception can be instilled in the community through education by paying attention to learning, learning methods, and evaluating learning objectives. In its application, Madrasah Aliyah Nurul Islam Boyolali seeks to apply this conception by paying attention to the learning implementation plan and also the learning process.

INOVASI GURU MADRASAH DINIYAH DALAM MENGATASI PROBLEMATIKA PEMBELAJARAN BACA TULIS AL-QUR’AN DI ERA COVID 19

The phenomenon of online learning has resulted in problems for the environment for administering Madrasah diniyah education by pursuing various innovations to create and implement quality Al-Qur'an reading and writing learning as a form of the existence of institutions in the Covid-19 era. This research was designed with a descriptive qualitative method. Data collection is done by collecting books or references that are relevant and accurate, as well as reading and studying to obtain data or conclusions related to the discussion. While the validity of this research data using observation and document analysis. The results of this study include several innovations that teachers can create and implement during the online learning concept: Learning from Home: Collaboration between Schools and Parents, Online Learning as an Opportunity as well as a Challenge and Blended Learning Learning Models in the Covid-19 Pandemic. Keywords: Innovation, Learning, Coronavirus Desease (COVID-19)