scholarly journals Analysis of the Effectiveness of Architectural Creative Learning Methods

TEM Journal ◽  
2021 ◽  
pp. 1190-1194
Author(s):  
Happy Indira Dewi ◽  
Muhammad Hayun ◽  
Ahmad Susanto ◽  
Zulfitria Zulfitria
Keyword(s):  
Repeated Measures ◽  
Architectural Design ◽  
Early Stage ◽  
Design Method ◽  
Gifted Children ◽  
Learning Methods ◽  
Creative Learning ◽  
Computer Based ◽  
Preliminary Study ◽  
Mind Maps

This research is a preliminary study of the Creative Learning Model for Visual Art Gifted Children. This study aims to determine which creative learning methods are the most effective for learning architectural design. This study used observation to observe students' ability when using this method in learning, then to analyze the effectiveness level of each method used Repeated Measures ANOVA. The results of this study show that the design method with computer-based mass studies is superior to that of biodrawing, mass studies (without computers), mind maps, and biodrawing. However, based on qualitative observations, if this method is used to design at an early stage it will result in a design that is stiff and less beautiful.

A study protocol: co-designing a mobile application to enhance communication, safety and wellbeing for people living at home with early stage dementia (Preprint)

2020 ◽  
Author(s):  
Karen Davies ◽  
Bie Nio Ong ◽  
Sudeh Cheraghi-Sohi ◽  
Katherine Perryman ◽  
Caroline Sanders
Keyword(s):  
Mobile Application ◽  
Design Research ◽  
Early Stage ◽  
Design Method ◽  
Mobile Apps ◽  
Care Service ◽  
Normalisation Process Theory ◽  
Policy And Practice ◽  
People With Dementia ◽  
At Home

BACKGROUND Background: There is a growing interest in using mobile applications in supporting health and wellbeing. Evidence directly from people with dementia regarding the acceptability, usability and usefulness of mobile apps is limited. It builds on ‘My Health Guide’ which was co-designed with people with cognitive disabilities. . OBJECTIVE Objective This paper describes the protocol of a study evaluating an app designed for supporting wellbeing with people living with dementia, specifically focusing on enhanced safety through improved communication METHODS Method: The study will employ design research, using participatory qualitative research methods over three cycles of evaluation with service users, their families and practitioners. The study will be developed in partnership with a specialist home care service in England. A purposive case selection will be used to ensure that the cases exemplify differences in experiences. The app will be evaluated in a ‘walkthrough’ workshop by people living with early stage dementia and then trialled at home by up to 12 families in a ‘try-out’ cycle. An amended version will be evaluated in a final ‘walkthrough’ workshop in cycle 3. Data will be collected from at least four data sources during the try-out phase and analysed thematically (people with dementia, carers, practitioners and app usage). An explanatory, multiple-case study design will be used to synthesise and present the evidence from the three cycles drawing on Normalisation Process Theory to support interpretation of the findings. RESULTS Results: The study is ready to be implemented but has been paused to protect vulnerable individuals during the Coronavirus in 2020. The findings will be particularly relevant for understanding how to support vulnerable people living in the community during social distancing and the period following the pandemic, as well as providing insight into the challenges of social isolation arising from living with dementia CONCLUSIONS Discussion: Evaluating a mobile application for enhancing communication, safety and wellbeing for people living with dementia contributes to key ambitions enshrined in policy and practice, championing the use of digital technology and supporting people with dementia to live safely in their own homes. The study uses a co-design method to enable the voice of users with dementia to highlight the benefits and challenges of technology and shape future development of apps that potentially enhances safety through improved communication.

scholarly journals Evidence-Based Design in Architectural Education: Designing the First Maggie’s Centre in Israel

2021 ◽  
pp. 193758672110079
Author(s):  
Nirit Putievsky Pilosof ◽  
Yasha Jacob Grobman
Keyword(s):  
Literature Review ◽  
Architectural Design ◽  
Early Stage ◽  
Scientific Research ◽  
Well Being ◽  
Architectural Education ◽  
Local Context ◽  
Evidence Based ◽  
Architecture Education ◽  
The Impact

Objective The study examines the integration of the Evidence-based Design (EBD) approach in healthcare architecture education in the context of an academic design studio. Background Previous research addressed the gap between scientific research and architectural practice and the lack of research on the use of the EBD approach in architectural education. Methods The research examines an undergraduate architectural studio to design a Maggie’s Centre for cancer care in Israel and evaluates the impact of the EBD approach on the design process and design outcomes. The research investigates the impact of the integration of three predesign tasks: (1) literature review of healing architecture research, (2) analysis and comparison of existing Maggie’s Centres, and (3) analysis of the context of the design project. Results The literature review of scientific research supported the conceptual design and development of the projects. The analysis of existing Maggie’s centers, which demonstrated the interpretation of the evidence by different architects, developed the students’ ability to evaluate EBD in practice critically, and the study of the projects’ local context led the students to define the relevance of the evidence to support their vision for the project. Conclusions The research demonstrates the advantages of practicing EBD at an early stage in healthcare architectural education to enhance awareness of the impact of architectural design on the users’ health and well-being and the potential to support creativity and innovative design. More studies in design studios are needed to assess the full impact of integrating EBD in architectural education.

Diagnosing breast cancer tumors using stacked ensemble model

2021 ◽  
pp. 1-9
Author(s):  
Ahmet Haşim Yurttakal ◽  
Hasan Erbay ◽  
Türkan İkizceli ◽  
Seyhan Karaçavuş ◽  
Cenker Biçer
Keyword(s):  
Breast Cancer ◽  
Deep Learning ◽  
Medical Imaging ◽  
Early Stage ◽  
False Negative ◽  
Gradient Boosting ◽  
Physical Sign ◽  
Ensemble Model ◽  
Learning Methods ◽  
Dce Mri

Breast cancer is the most common cancer that progresses from cells in the breast tissue among women. Early-stage detection could reduce death rates significantly, and the detection-stage determines the treatment process. Mammography is utilized to discover breast cancer at an early stage prior to any physical sign. However, mammography might return false-negative, in which case, if it is suspected that lesions might have cancer of chance greater than two percent, a biopsy is recommended. About 30 percent of biopsies result in malignancy that means the rate of unnecessary biopsies is high. So to reduce unnecessary biopsies, recently, due to its excellent capability in soft tissue imaging, Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) has been utilized to detect breast cancer. Nowadays, DCE-MRI is a highly recommended method not only to identify breast cancer but also to monitor its development, and to interpret tumorous regions. However, in addition to being a time-consuming process, the accuracy depends on radiologists’ experience. Radiomic data, on the other hand, are used in medical imaging and have the potential to extract disease characteristics that can not be seen by the naked eye. Radiomics are hard-coded features and provide crucial information about the disease where it is imaged. Conversely, deep learning methods like convolutional neural networks(CNNs) learn features automatically from the dataset. Especially in medical imaging, CNNs’ performance is better than compared to hard-coded features-based methods. However, combining the power of these two types of features increases accuracy significantly, which is especially critical in medicine. Herein, a stacked ensemble of gradient boosting and deep learning models were developed to classify breast tumors using DCE-MRI images. The model makes use of radiomics acquired from pixel information in breast DCE-MRI images. Prior to train the model, radiomics had been applied to the factor analysis to refine the feature set and eliminate unuseful features. The performance metrics, as well as the comparisons to some well-known machine learning methods, state the ensemble model outperforms its counterparts. The ensembled model’s accuracy is 94.87% and its AUC value is 0.9728. The recall and precision are 1.0 and 0.9130, respectively, whereas F1-score is 0.9545.

scholarly journals Evaluation of a computer-based nutrition education tool

2004 ◽  
Vol 7 (2) ◽  
pp. 271-277 ◽  
Author(s):  
Katrin Kreisel
Keyword(s):  
Student Teachers ◽  
Nutrition Education ◽  
Repeated Measures ◽  
Nutrition Knowledge ◽  
Primary School Children ◽  
Teaching Tool ◽  
School Based ◽  
Computer Based ◽  
Dependent Samples

AbstractObjective:To evaluate the efficacy and feasibility of using a computer-based teaching tool (http://www.coolfoodplanet.org) for nutrition and lifestyle education developed for primary school children.Design:This was a 2-week school-based intervention in third and fourth grades. The study design was multi-factorial with repeated measures of nutrition knowledge, at three points in time, of dependent samples from control and intervention groups. Control schools (n=7) used ‘traditional’ nutrition education materials and intervention schools (n=8) additionally used the computer-based educational tool. Qualitative information was collected in focus group discussions with student teachers and pupils, and by observing the nutrition lessons.Setting/subjects:Pupils aged 8–11 years (n=271) from participating schools in Vienna, Austria.Results:Nutrition knowledge increased significantly in both intervention and control schools, irrespective of the teaching tool used (P<0.001). The significant effect was maintained at 3 months' follow-up. There was no detectable difference in nutrition knowledge post intervention or at follow-up between the two study groups. In intervention schools, younger pupils (8–9 years) had better nutrition knowledge than older pupils (10–11 years) (P=0.011).Conclusion:This computer-based tool increases the possibilities of school-based nutrition education. If the tool's weaknesses identified during the formative evaluation are eliminated, it has the potential to make learning about nutrition more enjoyable, exciting and effective. This is of great importance considering that ‘healthy’ nutrition is not necessarily a topic that easily attracts pupils' attention and in view of the potential long-term health benefits of early and effective nutrition education.

The Development of Tahfiz Qur'an Movement in the Reform Era in Indonesia

2015 ◽  
Vol 4 (1) ◽  
pp. 115-136
Author(s):  
Muhammad Sofyan
Keyword(s):  
Learning Methods ◽  
Reform Era ◽  
Creative Learning ◽  
Institutional System ◽  
Almost All

This paper is aimed to explore the development of Tahfiz Qur'an movement in the reform era in Indonesia, especially the developments emerging from 2005 until now. To view these developments, the writer will highlight the D±rul Qur'an institutions, ODOJ community (One Day One Juz), and methods of al-Qosimi and Yadain.by using obsrvation and documentery study. The study found that institutions, programs and methods of Tahfiz in that era had become transformative Tahfizul Qur'an, with modern institutional system, flexible program to reach almost all level of society, innovative and creative learning methods in accordance with the demand of today's improvement. However, these developments do not eliminate the fundamental things that have been built by the scholars of Tahfiz previously.

High serum concentration of dipeptidyl peptidase 4 at early stage of obesity – preliminary study

2019 ◽  
Vol 54 (4) ◽  
pp. 233-240
Author(s):  
Agnieszka Olejnik ◽  
Iwona Bil-Lula ◽  
Anna Krzywonos-Zawadzka ◽  
Łukasz Kozera
Keyword(s):  
Adipose Tissue ◽  
Serum Concentration ◽  
Body Mass ◽  
Early Stage ◽  
Density Lipoprotein ◽  
Dipeptidyl Peptidase ◽  
Tnf Alpha ◽  
Serum Concentrations ◽  
Dipeptidyl Peptidase 4 ◽  
Preliminary Study

Background: Adipose tissue has been recognized as an endocrine organ of considerable complexity, able to secrete adipose-derived factors named adipokines. The secretion of adipokines depends greatly on the volume of body fat, which in turn significantly changes their activity towards a diabetogenic, proinflammatory, and atherogenic pattern. One of the discovered adipokines is dipeptidyl peptidase 4 (DPP4).<br>Objectives: The aim of this preliminary study was to establish an association between serum concentration of DPP4 and obesity at early stage.<br>Material and methods: A total of 32 obese adult volunteers and 40 lean controls were studied. Total cholesterol, triglycerides, HDL (high-density lipoprotein), LDL (low-density lipoprotein) and glucose concentrations were assessed in serum/plasma samples by using commercial tests. Body mass index (BMI) and waist-hip ratio (WHR) were determined. Serum concentrations of DPP4, leptin, visfatin, CRP (C-reactive protein), and TNF-alpha (tumor necrosis factor alpha) were measured using commercial ELISA immunoassay tests.<br>Results: Serum concentrations of DPP4, leptin and visfatin were significantly higher in obese than in lean subjects. The concentration of DPP4 positively correlated with BMI and body mass. Serum CRP and TNF-alpha were increased in obese compared to non-obese, and had a positive correlation with BMI, WHR and body mass.<br>Conclusions: We showed that there is an association between the DPP4, leptin and visfatin concentration in serum and elevated body weight and BMI even at early stage of obesity (I stage of obesity). It suggest the importance of adipose tissue reduction to prevent rise of adipokines levels and further negative metabolic and inflammatory changes.

scholarly journals Designing in Architecture: Behavioral Approach Methodology

2018 ◽  
Vol 7 (3.27) ◽  
pp. 142
Author(s):  
Sri Astuti Indriyati ◽  
. .
Keyword(s):  
Human Behavior ◽  
Architectural Design ◽  
Design Methodology ◽  
Design Method ◽  
Coping Behavior ◽  
Behavioral Approach ◽  
Employee Productivity ◽  
Specific Design ◽  
New Guidelines

A fundamental premise on environmental and behavioral fields involves assumptions about the systematic interrelationships between architecture and patterns of human behavior. The case study conducted was to confirm the needs of specific design methodology in relations to the area of Perception and Human Behavior. The research focused to the extent to which Office Space Performance gives impact on Employee Productivity and Satisfaction. Following that, It was also seen how those affect the behavior of coping. The findings show that there is a significant impact of Spaces’ Performances on Space Satisfaction. Further, there is a significant impact of Space Satisfaction on Coping Behavior and also a significant impact of Spaces’ Performances against Coping behavior. Humanist architecture with architectural behavior approach is required as a Concept of Planning and Architectural Design in the Future. A New Guidelines for Planning and Architectural Design Method for Architectural Design with Behavior concerns is proposed.   

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