Development of Preclinical Magnetic Resonance Imaging Relational Database and Interactive Analytical Tool for Diffusion Tensor Imaging

Databases have become an essential component for any organization to collect and manage the information. Similar to other domains, by implementing a database management system (DBMS), data storage, access, analysis and updates can be automated and optimized in the biological, medical and preclinical research areas. This work demonstrated the development of a preclinical database, which contains the processed results from different magnetic resonance imaging (MRI) techniques with relevant biological information. In addition, we designed and implemented an interactive analytical tool to format and analyze diffusion tensor imaging (DTI) data and automatically generate results in the forms of box plot, bar plot, line plot with statistical summary. The performance of the newly built analytical tool was tested to determine the accuracy and robustness by following functional-unit test procedures. Microsoft SQL Server 2016 Express edition was used to develop the database, and an open source programming language R was used to develop the interactive analytical tool. Results showed that implementation of DBMS and the interactive analytical tool has drastically reduced data analysis time. While the conventional analytical method required more than three days to format, process, analyze and produce results from one study dataset, the DTI analytical tool returned the same results within 10 minutes. This database and the accompanying tool will be very effective for enhancing the speed of data analysis of diffusion tensor imaging data

RANCANG BANGUN CONTINOUS INTEGRATION SERVER UNTUK OTOMATISASI PENGUJIAN PADA PERANGKAT LUNAK YANG DIBANGUN MENGGUNAKAN TEST-DRIVEN DEVELOPMENT

Continous Integation adalah melakukan pengujian yang berkelanjutan, memeriksa konsistensi source code style, melakukan integrasi source code pada setiap skenario dalam sebuah fitur dalam perangkat berhasil dilakukan dan feedback yang secara realtime dari kondisi pengembangan perangkat lunak yang dikembangkan. Continous Integration Server yang dibangun akan menjalankan build script setiap kali programmer melakukan commit pada versioning control repository. Build script adalah perintah untuk menjalan unit testing, melakukan integrasi basis data, melakukan pengecekan terhadap source code atau melakukan deploy terhadap perangkat lunak. CI server juga akan memberikan feedback secara langsung kepada programmer atau pihak-pihak yang terlibat, yakni status terakhir dan isu-isu dalam pengembangan perangkat lunak.-- Continuous Integration is carrying out continuous testing, checking the consistency of source code style, integrating source code in each scenario in a feature in the device successfully carried out and realtime feedback from the developed software development conditions. The Continuous Integration Server that is built will run the build script every time the programmer commits to the versioning control repository. Build scripts are commands for running unit testing, integrating databases, checking source code or deploying software. CI server will also provide direct feedback to programmers or parties involved, namely the latest status and issues in software development

PENENTUAN BESAR PENGANGKATAN MAKSIMUM PADA SUDUT ELEVASI TERTENTU DENGAN MENGGUNAKAN PEMODELAN AIRFOIL SAYAP PESAWAT

Berdasarkan rumusan masalah di atas, penelitian ini bertujuan untuk mencari seberapa besar kemampuan mengangkat profil sayap pesawat pada sudut elevasi dengan menggunakan pemodelan airfoil sayap pesawat. Pada penelitian ini, variabel yang digunakan terdiri dari variabel bebas, variabel terikat, dan variabel kontrol. Variabel bebasnya adalah sudut elevasi model sayap, massa, variabel terikat adalah kemampuan mengangkat beban maksimum sedangkan variabel kontrolnya adalah kecepatan angin, luasan permukaan pemodelan sayap pesawat. . Pengambilan data dilakukan dengan cara percobaan (eksperimen) menggunakan WIN TONEL. Data yang diperoleh dianalisis dengan menggunakan rumus bernoulli dan nilai ketidakpastiannya . Selain itu data yang diperoleh dianalisis secara grafik menggunakan program Microsoft Excel. Hasil penelitian menunjukkan bahwa pada sudut 100 kemampuan mengangkat beban maksimum pada pemodelan airfoil sayap pesawat adalah sebesar 0,237 kg, pada sudut 150 kemampuan mengangkat masimum pada pemodelan airfoil sayap pesawat adalah sebesar 0,241 kg, sedangkan untuk sudut 200 kemampuan mengangkat beban maksimum pada pemodelan airfoil sayap pesawat adalah sebesar 0,268 kg

Genetic analysis of yield components and fiber quality parameters in upland cotton

The experiment was laid to analyze genetic features, genotypic and phenotypic correlation coefficients, path analysis with regression analysis among yield contributing traits in a selected F3 populations of upland cotton including parents. In this research experiment ANOVA showed significant difference among all individual plants in F3 populations. Monopodia per plant and bolls per plant possessed maximum value of PCV% and GCV%. Maximum broad sense heritability (≥ 90) was found in all recorded traits except seeds per boll, fiber length and lint percentage. Correlation studies revealed that Seed cotton yield positively correlated with all yield contributing traits i.e. plant height, monopodial branches per plant, Number of bolls per plant, boll weight, lint weight, seed index, lint index, seeds per boll, fiber fineness, fiber strength and fiber uniformity at both genotypic and phenotypic level whereas it depicted negative relationship with staple length. Path coefficient analysis showed that maximum direct positive effect was found of lint weight (2.6005) on seed cotton yield followed fiber fineness (1.2628), seed index (1.1449) and bolls per plant (1.0027). Regression study exhibited that maximum value of R2 for lint weight (0.9509) and boll weight (0.3735) depicted that 95.09% and 37.35% variation in the seed cotton yield, due to its relationship with lint weight and boll weight. It is concluded that there is a great genetic potential in F3 populations for mostly yield contributing traits for further enhancing yield. So those traits should be used as selection criteria during breeding for yield

Applying Test-driven Development in Evaluating Student Projects

Grading software projects submitted by students can become a heavy and time-consuming task, which for many students, can result in delayed feedback provided to them. Additionally, one would like to allow students to evaluate themselves early their projects before submitting the final version for grading. This paper presents a solution that improves the grading process of student projects not only for lecturers, but also for students. In our approach, we adopt a test-driven development methodology to provide a clear benchmark of the course project implementation. Our approach allows students to self-evaluate their progress at any moment, while lecturers can use it to automate the grading process. GitHub Classroom is used as a supporting tool to allow students to retrieve and implement their projects from the same initial skeleton project including the tests, and lecturers to retrieve the student projects and evaluate them automatically. The results show that test-driven development is a viable solution to be applied in an academic environment to improve the grading process. This study also shows that courses in Information Technology area could use our approach to increase learning and teaching efficiency.This work has received partial funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 737494. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and Sweden, France, Spain, Italy, Finland, the Czech Republic.Tran, CH.; Truscan, D.; Ahmad, T. (2020). Applying Test-driven Development in Evaluating Student Projects. En 6th International Conference on Higher Education Advances (HEAd'20). Editorial Universitat Politècnica de València. (30-05-2020). https://doi.org/10.4995/HEAd20.2020.11218115530-05-202

Factors Affecting Women’s Participation in Livestock Management Activities: A Case of Punjab-Pakistan

Existing literature in social sciences, on agriculture, livestock, gender, socio-cultural dynamics, and rural demographics provides a solid background to construct a list of factors that predict and provide information on the existence of a relationship between women’s participation in livestock management and production related activities and social, economic, cultural, familial, and livestock related factors. The present study has analyzed factors influencing women’s level of participation in livestock management activities in Punjab province of Pakistan. Primary data was collected from three agro-climatic regions of Punjab. A multi-stage sampling technique was adopted to gather the information. The information collected from 360 farm households were processed and analyzed by using multiple regression and factor analysis. In the regression analyses, the identified main factors (in decreasing order in terms of variance explained by R2) were respectively: participation of family labor (variance explained = 56.70%), various aspects of women’s status (= 16.10%), livestock related factors (= 11.30%), and economic factors (= 10.50%). The value of the coefficient of determination (R2) of the regression model (including all 30 factors) was 0.675. Factor analysis summarized the originally 30 variables (participatory indicators) into 11 factors, which accounted for 66.617% of the total variance explained. The results signify the need for micro-level (targeting rural families) and gender analysis in livestock farming. The findings also advocates for choosing gendered approach (with major participation of women) for a successful implementation of the agricultural development programs in the province of Punjab. In addition, increasing women's participation in livestock management and production has positive implications for improving overall family’s health, education, and income

Factors Affecting Women’s Participation in Livestock Management Activities: A Case of Punjab-Pakistan

Existing literature in social sciences, on agriculture, livestock, gender, socio-cultural dynamics, and rural demographics provides a solid background to construct a list of factors that predict and provide information on the existence of a relationship between women’s participation in livestock management and production related activities and social, economic, cultural, familial, and livestock related factors. The present study has analyzed factors influencing women’s level of participation in livestock management activities in Punjab province of Pakistan. Primary data was collected from three agro-climatic regions of Punjab. A multi-stage sampling technique was adopted to gather the information. The information collected from 360 farm households were processed and analyzed by using multiple regression and factor analysis. In the regression analyses, the identified main factors (in decreasing order in terms of variance explained by R2) were respectively: participation of family labor (variance explained = 56.70%), various aspects of women’s status (= 16.10%), livestock related factors (= 11.30%), and economic factors (= 10.50%). The value of the coefficient of determination (R2) of the regression model (including all 30 factors) was 0.675. Factor analysis summarized the originally 30 variables (participatory indicators) into 11 factors, which accounted for 66.617% of the total variance explained. The results signify the need for micro-level (targeting rural families) and gender analysis in livestock farming. The findings also advocates for choosing gendered approach (with major participation of women) for a successful implementation of the agricultural development programs in the province of Punjab. In addition, increasing women's participation in livestock management and production has positive implications for improving overall family’s health, education, and income

Understanding Motivation, Empowerment and Sustainability Outcomes of Women Homestay Entrepreneurs in West Malaysia. A Preliminary Analysis.

The participation of women in the homestay industry is a growing phenomenon; yet research in this area is limited especially in Malaysia

Flow distribution analysis of a novel fcc system through experiment study and atomic model

As the largest palm oil producer in the world, Indonesia has a promising potential to produce green fuel through the Fluid Catalytic Cracking (FCC) process. A novel FCC configuration, FCC Proto X 3, which combines a riser reactor and downer reactor in the system, has been developed. However, several valves including in the FCC system remain a black box to the flow distribution in the system. The objective of this paper is to investigate the effect of the valve setting variation on the airflow distribution of the FCC system. The methodology uses experiment and acausal modeling. The effect of valve setting variation on pressure and average velocity of the airflow has been investigated. The experiment is conducted under cold test conditions, while the acausal model of the FCC system is built by using OpenModelica. It is obtained that valve 2 which controls the flow at the channel toward the regenerator is essential due to its role in controlling the air supply combustion process in the regenerator and driving the spent catalyst particles to the regenerator. Valve 3 is responsible for controlling the flow toward the riser reactor directly. Later, it is responsible for supplying the lifting fluid to support the catalytic cracking reaction at the riser sections. Valve 4 contributes to controlling the lifting fluid to the downer reactor. It will also be responsible for supplying thermal energy from the high-temperature particle catalyst to the reactor. When all valves toward the regenerator and reactor are 100 % open, the measured average velocity at the flue gas outlet and the product outlet are 8.04 m/s and 5.775 m/s respectively. The result shows that the airflow at the FCC system tends to flow through the regenerator. The atomic model estimation also shows a similar trend to the experiment resul