599 research outputs found
AgroFIMS v.1.0 - User manual
The Agronomy Field Information Management System (AgroFIMS) has been developed on CGIAR’s HIDAP (Highly Interactive Data Analysis Platform) created by CGIAR’s International Potato Center, CIP. AgroFIMS draws fully on ontologies, particularly the Agronomy Ontology (AgrO)1. It consists of modules that represent the typical cycle of operations in agronomic trial management (seeding, weeding, fertilization, harvest, and more) and enables the creation of data collection sheets using the same ontology-based set of variables, terminology, units and protocols. AgroFIMS therefore enables a priori harmonization with metadata and data interoperability standards and adherence to the FAIR Data Principles essential for data reuse and increasingly, for compliance with funder mandates - without any extra work for researchers. AgroFIMS is therefore of value to anyone (scientist, researcher, agronomist, etc.) who wishes to easily design a standards-compliant agronomic research fieldbook following the FAIR Data Principles.
AgroFIMS also allows users to collect data electronically in the field, thereby reducing errors. Currently this is restricted to the KDSmart Android platform, but we expect to enable this capability with other platforms such as the Open Data Kit (ODK) and Field Book in v.2.0. Once data is collected using KDSmart, the data can be uploaded back to AgroFIMS for data validation, statistical analysis, and the generation of statistical analysis reports. V.2.0 will allow easy upload of the data from AgroFIMS to an institutional or compliant repository of the user’s choice
Recommended from our members
Heart Disease Prediction Using Binary Classification
In this project, I built a neural network model to predict heard disease with binary classification technique using patient information dataset from UCI Machine Learning repository. This dataset was preprocessed to remove missing elements and performed feature extraction. Our result shows that the model that I built has the best performance accuracy in heart disease classification if compared to other models and algorithms. The model achieved 94.98% accuracy after hyperparameter tuning and 0.947 area under the curve in ROC curve analysis. In addition, to identify the most important factors in heart disease prediction, I also performed feature importance analysis. Our analysis showed that factors such as type of chest pain, peak heart rate, and exercise-induced ST-segment depression were among the strongest predictors of heart disease. Overall, the project demonstrated the effectiveness of neural network models in medical diagnosis and provided insights into heart disease classification. The model developed can be used as a decision support tool for healthcare professionals in planning the diagnosis and treatment of heart disease. However, further research is needed to confirm the model\u27s performance in larger and more diverse patient populations
Security Challenges and Policies in Cloud Computing for Services
Cloud computing is becoming most emerging trend in IT industry. With its potential growth and lucrative services cloud computing has acquired mass market in the industry large enterprises running their business on the cloud. A greater acceptance of public cloud by various businesses has given it a wide popularity, strengthening of public cloud security is big milestone. The article talks about cloud computing and its service models and deployment models. Different threats have been discovered in recent years. Database security in public cloud raised some critical issues for cloud service provider.Further, various security issues and policies related to cloud computing also discussed. Findings emphasis that rapid adaptation to the clouds have increased concerns on a critical issue for successive growth of communication technology and information security. From a cloud security perspective, a number of unexplored risks and challenges are faced by cloud because of migration, causing degradation of the effectiveness of traditional protection mechanisms
Isolation of an autocrine growth factor from hepatoma HTC‐SR cells
A growth factor has been isolated from HTC‐SR rat hepatoma tissue culture cells which specifically stimulates DNA synthesis and cell proliferation of the HTC cells that produce it. The factor can be isolated from HTC cell conditioned medium or from an HTC cell extract. This autocrine factor has been purified 640‐fold from a postmicrosomal supernatant by successive steps, involving ethanol precipitation, heating at 80°C for 10 min, chromatography on a DEAE Bio‐Gel A column, and chromatography on a heparin‐sepharose affinity column. The major peak of activity eluted from the heparin column migrates as a single band on SDS‐PAGE with an apparent Mr of 60,000. The factor is resistant to acid, heat, and neuraminidase but sensitive to trypsin, papain, and protease. The autocrine nature of the factor is indicated by the finding that several other types of cells do not respond with increased DNA synthesis. Mouse L‐cells, BHK cells, Novikoff hepatoma cells, hepatocytes in primary culture, and an epithelial‐like rat liver‐derived cell line (Clone 9) were tested, and none of the cells could be stimulated. Small amounts of the factor could be extracted from the Clone 9 cells, however. This material had the same physical and purification properties as the factor extracted from HTC cells, but it did not stimulate DNA synthesis in Clone 9 cells, only in HTC cells. Addition of the factor resulted in an almost immediate stimulation of DNA synthesis in a proliferating HTC cell population. When the factor was added together with [3H]thymidine for 2 h, a significant stimulation of DNA synthesis was observed, provided the addition was made between 18 and 48 h after the cells had been plated. Autoradiographic studies indicated that the factor both accelerates DNA synthesis in cells already making DNA and increases the number of cells entering the S period. The stimulation of DNA synthesis was completely inhibited by 10 mM hydroxyurea, whether the factor was present for 2, 24, or 48 h in the culture. A significant increase in cell number due to addition of the factor was also observed. This accelerated proliferation was detectable only after the cells had been in culture for at least 48 h with the factor present. Copyright © 1987 Wiley‐Liss, Inc
Valency of rare earths in RIn3 and RSn3: Ab initio analysis of electric-field gradients
In RIn3 and RSn3 the rare earth (R) is trivalent, except for Eu and Yb, which
are divalent. This was experimentally determined in 1977 by perturbed angular
correlation measurements of the electric-field gradient on a 111Cd impurity. At
that time, the data were interpreted using a point charge model, which is now
known to be unphysical and unreliable. This makes the valency determination
potentially questionable. We revisit these data, and analyze them using ab
initio calculations of the electric-field gradient. From these calculations,
the physical mechanism that is responsible for the influence of the valency on
the electric-field gradient is derived. A generally applicable scheme to
interpret electric-field gradients is used, which in a transparent way
correlates the size of the field gradient with chemical properties of the
system.Comment: 10 page
Amalgamation of indirect gamification into development and operations (DevOps) course teaching
У роботі досліджується вплив непрямої гейміфікації на навчання курсу «Розробка та експлуатація» (DevOps). Команда розробників програмного забезпечення, що складається з кількох учасників, координує свої дії в спільному робочому середовищі для досягнення конкретних заздалегідь визначених цілей шляхом регуляції та контролю. У курсі DevOps встановлення та налаштування різних програмних інструментів використовуються в контексті розробки програм. Завдання тренера – навчити використовувати інструменти DevOps для досягнення поставлених навчальних цілей. Створене освітнє середовище повинно мотивувати учнів до навчання. Педагогічні методи та ІКТ відіграють важливу роль у процесі передачі знань. Для досягнення поставленої мети навчання необхідна мотивація та підтримка студента під час проходження курсу. Автор використав незалежний конкурс як технологію непрямої гейміфікації з метою досягнення результатів навчального курсу. Студентам було запропоновано взяти участь у конкурсі Hacktoberfest з метою використання своїх практичних навичок, отриманих під час проходження курсу. Студенти бакалаврату (UG – Under Graduate) та аспірантури (PG – Post Graduate) пройшли регулярні сесії DevOps. Обидві групи студентів спілкувались на одній платформі. Студенти, які швидше внесли дані PR до GitHub, поділилися своїм досвідом з іншими учасниками. Кількість студентів PG (68,75%) значно перевищила учасників-студентів UG. Основним критерієм виконання поставленого завдання було мінімум чотириразове внесення даних PR у GitHub та збереження їх у репозитарії. Активна участь невеликої кількості студентів UG стала мотиваційним фактором для студентів PG. Розподіл Гауса за оцінками, отриманими експериментальною групою, показує відсутність викидів. Дослідження показує, що ефективність непрямої гейміфікації залежить від вікової групи, рівня, змісту курсу та середовища навчання. Участь викладача в конкурсі під час навчальної діяльності підвищує бажання студента виконати завдання. Експериментальна група з 15 студентів перевершила за отриманими оцінками контрольну групу з 52 студентів.The work investigates the effect of indirect Gamification in Development and Operations (DevOps) Course teaching. The software development team consisting of multiple contributors coordinates in the collaborative work environment to achieve specific predefined goals in a regulated and controlled fashion. In DevOps Course, the Installation and configuration of the various software tools are useful in the context of application development. To teach DevOps Tools precisely to achieve the learning outcome is a skilled task for a trainer. From the perspective of the learner, the learning environment has to be encouraging and exciting. Pedagogical techniques and ICT tools play an essential role during the knowledge transfer process. The motivation and reward to the Student are essential in achieving the learning outcomes of the Course. The author used the third-party Competition as an indirect Gamification technique to achieve the learning outcomes of the Course. The author encouraged the students to participate in the Hacktoberfest Competition to use the practical skills learned in the Course. The Under Graduate (UG) and Post Graduate (PG) Students have gone through the regular sessions of DevOps. For the participation purpose, both groups of students communicated on one platform. The students who succeeded faster during the GitHub Pull Request (PR) submission shared their experiences with other participants. The PG students participated 68.75% higher than UG students. Minimum of four PR submissions on GitHub and acceptance by the repository maintainer are the task completion criteria. The active participation of the small number of UG students became a motivational factor for the PG students. The Gaussian distribution on the marks obtained by the experimental group shows the absence of outliers. The research shows that the effectiveness of indirect Gamification depends on the age group, level, course content, and learning environment. The participation of a faculty member in the Competition during the learning activity boosts the desire of the Student to complete the task. The experimental group of 15 Students has outperformed in terms of the marks obtained compared to the control group of 52 students
SCREENING OF ANTIMICROBIAL ACTIVITY OF HERABAL EXTRACT OF MORINDA PUBESCENCEâ€, CHLORHEXIDINE & AMOXICILLIN AGAINST SALIVARY MICROFLORA OF MIXED DENTITION AGE GROUP.
Objectives : In this study the Antimicrobial activity of active Morinda Pubescenceâ€in acetone extracts were compared with Chlorhexidine and Amoxicillin 125mg and Amoxicillin 250mg against human salivary microflora at different concentrations. Method : The antimicrobial activity was assisted by measuring the inhibition zones by well diffusion method. Saliva was collected from children of age group 6-12 years having DMFT value four or above four. Ten salivary samples were tested for antimicrobial property to determine the Minimum Inhibition Concentration in order to increase the reliability and precision of the study. Result: This study compares antimicrobial activity of Morinda Pubescenceâ€with 0.2percent chlorhexidine and Amoxicillin 125mg and Amoxicillin 250mg. The zone of inhibition are measured by excluding the diameter of well. These zones of inhibition are directly proportional to the concentration. Conclusion : The results confirmed the antimicrobial potential of Morinda Pubescenceâ€plant at  different concentrations in acetone extracts are comparable with chlorhexidine and Amoxicillin and can be used as preventive and therapeutic measure in dentistry
- …
