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Articles 1 - 30 of 65342
Full-Text Articles in Entire DC Network
Metaphorical Cities - Behind The Cover Art, Elana Melissa Hill
Metaphorical Cities - Behind The Cover Art, Elana Melissa Hill
The Transdisciplinary STEAM+ Journal
This is a reflection on how cities function like organisms. An artist's interpretation of the spaces surrounding them.
Lessons In Process: Similarities Between Scientific And Artistic Creative Practice, Emily Prengaman
Lessons In Process: Similarities Between Scientific And Artistic Creative Practice, Emily Prengaman
The Transdisciplinary STEAM+ Journal
This paper describes the similarities between scientific and artistic processes and explains why both are valuable in the STEAM classroom. This is important because students who understand that struggle is an inherent part of process develop growth mindsets and become better learners. The paper explores the connections between STEM and art. STEAM educators use the experiences of great scientists and artists, along with students personal experiences working through creative process to guide students to understand that learning is an experience. The best learning happens when we persist through challenges.
Steam Education Initiatives In Nepal, Shashidhar Belbase
Steam Education Initiatives In Nepal, Shashidhar Belbase
The Transdisciplinary STEAM+ Journal
The purpose of this paper is to highlight the status of STEAM education in Nepal. I conducted a literature review focusing on document analysis for generating themes/categories of STEAM initiatives in Nepal from various sources such as websites, brochures, reports, and government publications. The major themes emerged from the analysis of documents were-- focus on integrated education, STEAM projects, STEAM-challenge, awareness to STEAM education, and academic program in STEAM education. I discussed the challenges of STEAM education followed by the conclusion.
About Time: Visualizing Time At Burning Man, Gordon D. Hoople, Austin Choi-Fitzpatrick, Nathaniel Parde, Diane Hoffoss, Max Mellette, Rachel Nishimura, Virginia Gutman
About Time: Visualizing Time At Burning Man, Gordon D. Hoople, Austin Choi-Fitzpatrick, Nathaniel Parde, Diane Hoffoss, Max Mellette, Rachel Nishimura, Virginia Gutman
The Transdisciplinary STEAM+ Journal
About Time was a 30 foot long, 3000 pound wooden sundial that went up in flames at Burning Man 2019. The piece reflected on the role time plays in our lives. We organize our lives around time—are enslaved to time—and yet we know so little about it. Physicists and philosophers continue to grapple with deep puzzles of time—Is time a fundamental quantity, independent of human actions or observations or is it an emergent property of our perception? This installation projected time using two sundials: a horizontal dial which swept time out across the desert floor and an …
Case Studies On The Transfer Of Knowledge Within The Interdisciplinary Steam Curricula Construct, Laura Rachel Fattal
Case Studies On The Transfer Of Knowledge Within The Interdisciplinary Steam Curricula Construct, Laura Rachel Fattal
The Transdisciplinary STEAM+ Journal
Sharing anecdotal case study research documents the vibrancy of personal communication to reveal both spontaneous reactions and profound thinking on the transfer of knowledge in the interdisciplinary STEAM curricula construct. With the growing research and attention to arts-integration and STEAM curricula development, a critical assignment in a graduate course in Arts-integration: Interactive Strategies for (STEAM) teaching and learning required the in-service teachers, who were the students in the course, to be teacher/researchers. In a two-to-three page case study, the students documented evidence of one or two K-12 students’ transfer of knowledge between two or more disciplines – science, technology, engineering, …
Can Precision Farming Technologies Be Applied To Grazing Management?, S. Mark Rutter
Can Precision Farming Technologies Be Applied To Grazing Management?, S. Mark Rutter
IGC Proceedings (1977-2023)
In arable farming, precision is used to monitor and manage crop variability. The same precision approach can be used to manage grassland, by using crop sensing, targeted fertilizer/herbicide/pesticide application and forage yield measurement when it is harvested mechanically. An additional challenge in grassland agriculture is developing precision approaches to manage the grazing process. This requires technologies to determine where an animal is, when, what and how much it is grazing which the system then needs to use in conjunction with other sources of information to control where the animal grazes next. This paper reviews the existing technologies in these …
Manipulation Of The Spatial Grazing Behaviour Of Livestock In Extensive Grassland Systems, Derek W. Bailey, Mitch B. Stephenson, Milton G. Thomas, Juan F. Medrano, Gonzalo Rincon
Manipulation Of The Spatial Grazing Behaviour Of Livestock In Extensive Grassland Systems, Derek W. Bailey, Mitch B. Stephenson, Milton G. Thomas, Juan F. Medrano, Gonzalo Rincon
IGC Proceedings (1977-2023)
Spatial behaviour of livestock is a critical factor in grassland management. Recent and ongoing research suggests that new approaches can be used to manipulate where cattle graze. The combination of strategic supplement placement and low-stress herding can be used to target cattle grazing and potentially may be useful for managing fine fuels. A phenotype to genotype association study of cattle spatial behavior suggests that use of rugged terrain and areas far from water is inherited. Although more research is needed, selection for animals specifically adapted for mountainous terrain or extensive paddocks may be an alternative for managing grasslands in the …
Case Studies Which Demonstrate The Financial Viability Of Precision Dairy Farming, Ian Yule, Hayden Lawrence, Craige Mackenzie, Carolyn Hedley, Miles Grafton
Case Studies Which Demonstrate The Financial Viability Of Precision Dairy Farming, Ian Yule, Hayden Lawrence, Craige Mackenzie, Carolyn Hedley, Miles Grafton
IGC Proceedings (1977-2023)
A number of case studies are used to demonstrate the financial viability of precision farming methods for intensively managed pastures. Precision farming has sometimes been criticized as being technology-led where the management goals and desired outcomes are sometimes poorly defined. Case studies presented in this paper demonstrate a strong management approach where appropriate technologies are selected to contribute to the financial success of the farm. The first case study farm has increased milk production by 70% in four years, increased pasture production by 43%, reduced fertilizer costs to 43% of previous levels and has successfully predicted annual production to within …
“Putting The Arts In Their Place”: A Case For Map-Making In Art History, Marco Jalla
“Putting The Arts In Their Place”: A Case For Map-Making In Art History, Marco Jalla
Artl@s Bulletin
The use of cartography in art history is less than common. Because of its link to the old artistic geography (Kunstgeographie) once used to defend nationalist issues in Nazi Germany, it fell into disfavor until the 1960s and 1970s, when maps regained some attention from a new generation of art historians. Mapping arts indeed proves to be very useful to visualize and organize large dataset and to formulate new hypotheses, both as a descriptive and a prospective tool. The challenge we proposed to the authors was to use maps for questioning the territorial logics, the centers and peripheries of the …
Convex Relaxations Of A Continuum Aggregation Model, And Their Efficient Numerical Solution, Mahdi Bandegi
Convex Relaxations Of A Continuum Aggregation Model, And Their Efficient Numerical Solution, Mahdi Bandegi
Dissertations
In this dissertation, the global minimization of a large deviations rate function (the Helmholtz free energy functional) for the Boltzmann distribution is discussed. The Helmholtz functional arises in large systems of interacting particles — which are widely used as models in computational chemistry and molecular dynamics. Global minimizers of the rate function (Helmholtz functional) characterize the asymptotics of the partition function and thereby determine many important physical properties such as self-assembly, or phase transitions. Finding and verifying local minima to the Helmholtz free energy functional is relatively straightforward. However, finding and verifying global minima is much more difficult since the …
Quantitative Metrics For Mutation Testing, Amani M. Ayad
Quantitative Metrics For Mutation Testing, Amani M. Ayad
Dissertations
Program mutation is the process of generating versions of a base program by applying elementary syntactic modifications; this technique has been used in program testing in a variety of applications, most notably to assess the quality of a test data set. A good test set will discover the difference between the original program and mutant except if the mutant is semantically equivalent to the original program, despite being syntactically distinct.
Equivalent mutants are a major nuisance in the practice of mutation testing, because they introduce a significant amount of bias and uncertainty in the analysis of test results; indeed, mutants …
Dimension Reduction Techniques For High Dimensional And Ultra-High Dimensional Data, Subha Datta
Dimension Reduction Techniques For High Dimensional And Ultra-High Dimensional Data, Subha Datta
Dissertations
This dissertation introduces two statistical techniques to tackle high-dimensional data, which is very commonplace nowadays. It consists of two topics which are inter-related by a common link, dimension reduction.
The first topic is a recently introduced classification technique, the weighted principal support vector machine (WPSVM), which is incorporated into a spatial point process framework. The WPSVM possesses an additional parameter, a weight parameter, besides the regularization parameter. Most statistical techniques, including WPSVM, have an inherent assumption of independence, which means the data points are not connected with each other in any manner. But spatial data violates this assumption. Correlation between …
Early Detection Of Fake News On Social Media, Yang Liu
Early Detection Of Fake News On Social Media, Yang Liu
Dissertations
The ever-increasing popularity and convenience of social media enable the rapid widespread of fake news, which can cause a series of negative impacts both on individuals and society. Early detection of fake news is essential to minimize its social harm. Existing machine learning approaches are incapable of detecting a fake news story soon after it starts to spread, because they require certain amounts of data to reach decent effectiveness which take time to accumulate. To solve this problem, this research first analyzes and finds that, on social media, the user characteristics of fake news spreaders distribute significantly differently from those …
Investigation Of Small-Scale Energy Release And Transfer Processes In The Solar Atmosphere With High-Resolution Observations In Infrared, Xu Yang
Dissertations
Solar spectrum in the infrared (IR) contains abundant information of solar activities, however, it has not spectral lines in the solar IR spectrum provide different tools to probe the solar atmosphere in various heights. This radiation band in such relatively long wavelength includes various atom and molecule spectral lines that are generated by relatively small energy level transitions. The temperature-sensitive and highly dynamic spectral lines could reveal the energy transmission process more easily than those in the visible wavelength of solar emission. Moreover, the better magnetic sensitivities for the infrared lines resulting from their longer wavelength make them detect the …
Bio-Inspired Learning And Hardware Acceleration With Emerging Memories, Shruti R. Kulkarni
Bio-Inspired Learning And Hardware Acceleration With Emerging Memories, Shruti R. Kulkarni
Dissertations
Machine Learning has permeated many aspects of engineering, ranging from the Internet of Things (IoT) applications to big data analytics. While computing resources available to implement these algorithms have become more powerful, both in terms of the complexity of problems that can be solved and the overall computing speed, the huge energy costs involved remains a significant challenge. The human brain, which has evolved over millions of years, is widely accepted as the most efficient control and cognitive processing platform. Neuro-biological studies have established that information processing in the human brain relies on impulse like signals emitted by neurons called …
Amyloid Proteins And Fibrils Stability, Farbod Mahmoudinobar
Amyloid Proteins And Fibrils Stability, Farbod Mahmoudinobar
Dissertations
Compared to globular proteins that have a stable native structure, intrinsically disordered peptides (IDP) sample an ensemble of structures without folding into a native conformation.One example of IDP is the amyloid-beta(Abeta) protein which is the main constituent of senile plaques in the brain of Alzheimer's patients.Understanding the process by which IDPs undergo structural changes to form oligomers that eventually aggregate into senile plaques/amyloid fibrils may significantly advance the development of novel therapeutic methods to treat neurodegenerative diseases, for which there is no cure to date. This dissertation has two main objectives. The first one is to investigate and identify structural …
Mitochondria Imaging And Targeted Cancer Treatment, Tinghan Zhao
Mitochondria Imaging And Targeted Cancer Treatment, Tinghan Zhao
Dissertations
Mitochondria are essential organelles as the site of respiration in eukaryotic cells and are involved in many crucial functions in cell life. Dysfunction of mitochondrial metabolism and irregular morphology have been frequently found in human cancers. The capability of imaging mitochondria as well as regulating their microenvironment is important both scientifically and clinically. Mitochondria penetrating peptides (MPPs), certain peptides that are composed of cationic and hydrophobic amino acids, are good candidates for mitochondria targeting. Herein, a novel MPP, D-argine-phenylalanine-D-argine-phenylalanine-D-argine-phenylalanine-NH2 (rFrFrF), is conjugated with a rhodamine-based fluorescent chromophore (TAMRA). The TAMRA-rFrFrF probe exhibits advantageous properties for long-term mitochondria tracking of …
Cerebro-Vascular Disruption Mediated Initiation And Propagation Of Traumatic Brain Injury In A Fluid Percussion Injury Model, Xiaotang Ma
Dissertations
Traumatic brain injury (TBI) is a major health problem for over 3.17 million people in the US. There is no FDA-approved drug for the treatment because the injury mechanisms have not been clearly identified. The knowledge gap is addressed here by the lateral fluid percussion injury (FPI) rat model, through the understanding of layer-structured mechanisms from physical vascular rupture to acute necrosis, as well as biochemical changes in perivascular space as secondary events.
Firstly, the cerebrovascular hemorrhage and related infarct volume are investigated as the primary events in moderate FPI, which is found to be increased with injury severity in …
Topics On High Dimensional Selective Inference, Yan Zhang
Topics On High Dimensional Selective Inference, Yan Zhang
Dissertations
In such applications as identifying differentially expressed genes in micro-array experiments or assessing safety and efficacy of drugs in clinical trials, researchers often report confidence intervals (CIs) and p-values only for the selected parameters, which is called selective inference. While constructing multiple CIs for the selected parameters, it is common practice to ignore issue of selection and multiplicity. Although protection against the effect of selection is sufficient in some cases, simultaneous coverage should be also needed in real applications. For example, in clinical trials, multiple endpoints are considered to assess effects of a drug and the ultimate decision often depends …
Cancer Risk Prediction With Whole Exome Sequencing And Machine Learning, Abdulrhman Fahad M Aljouie
Cancer Risk Prediction With Whole Exome Sequencing And Machine Learning, Abdulrhman Fahad M Aljouie
Dissertations
Accurate cancer risk and survival time prediction are important problems in personalized medicine, where disease diagnosis and prognosis are tuned to individuals based on their genetic material. Cancer risk prediction provides an informed decision about making regular screening that helps to detect disease at the early stage and therefore increases the probability of successful treatments. Cancer risk prediction is a challenging problem. Lifestyle, environment, family history, and genetic predisposition are some factors that influence the disease onset. Cancer risk prediction based on predisposing genetic variants has been studied extensively. Most studies have examined the predictive ability of variants in known …
Urban Horticulture, From Local Initiatives To Global Success Stories, Roland Ebel, Esmaeil Fallahi, John L. Griffis Jr., Dilip Nandwani, Donielle Nolan, Ross H. Penhallegon, Mary Rogers
Urban Horticulture, From Local Initiatives To Global Success Stories, Roland Ebel, Esmaeil Fallahi, John L. Griffis Jr., Dilip Nandwani, Donielle Nolan, Ross H. Penhallegon, Mary Rogers
Agricultural and Environmental Sciences Faculty Research
Urban horticulture describes economically viable horticultural production activities conducted in a city or suburb. It is a growing segment of horticulture in the United States as well as in developing countries, where the enormous growth of megalopolis is not backed by a simultaneous increase of farmland or agricultural productivity. Today, urban horticulture includes food sovereignty in underprivileged neighborhoods, increased availability of vegetables and fruits in big cities, healthy and diverse diets, improved food safety, low transportation costs, efficient resource use, and the mitigation of environmental impacts of horticultural production such as the emission of greenhouse gases. The workshop “Urban horticulture: …
Implementation Of Creative Economy Entrepreneurial Character Development Through The Culture Of Sustainable Development And Vocational Stakeholders Partnership, I Gusti Kade Siladana, Putu Sudira
Implementation Of Creative Economy Entrepreneurial Character Development Through The Culture Of Sustainable Development And Vocational Stakeholders Partnership, I Gusti Kade Siladana, Putu Sudira
Jurnal Pendidikan Vokasi
This ethnography research aims to find the concepts and implementation in developing creative economic entrepreneur characters through sustainable development culture and stakeholder partnership in vocational high school (VHS). Research data were collected inductively through in-depth interviews, participant observation, documentation study, and internet site tracing based on research questions in the data generation manual. The data from the finding were interpreted deductively through coding process, and crystallization to produce informants shared cultural pattern and values, including (a) three sequences of life-based learning; (b) taksu's entity of creative economy; (c) seven perspectives for developing entrepreneurial characters (SEMESTA); (d) catur guru's essential enculturation …
The Contribution Of Technopreneurship Scientific Learning And Learning Readiness Towards The Entrepreneurship Learning Outcomes In Higher Vocational Education, Hendra Hidayat, Boy Yendra Tamin, Susi Herawati, Khairul Khairul, Eril Syahmaidi
The Contribution Of Technopreneurship Scientific Learning And Learning Readiness Towards The Entrepreneurship Learning Outcomes In Higher Vocational Education, Hendra Hidayat, Boy Yendra Tamin, Susi Herawati, Khairul Khairul, Eril Syahmaidi
Jurnal Pendidikan Vokasi
This research was motivated by the entrepreneurship learning outcomes in vocational education which is still poor. Technopreneurship scientific learning and learning readiness are assumed to be factors affecting entrepreneurship learning outcomes. The purpose of this study is to describe and test the contribution of technopreneurship scientific learning and readiness to learning of entrepreneurship learning outcomes. This research used the quantitative method with correlation descriptive. The population was all students who follow the general course of entrepreneurship in Higher Education for 1100 people. While the samples are 217 students who were selected by using proportional stratified random sampling. This research tool …
Designing And Quality Testing Of "Digichip" Virtual Simulation Software Of Android Platform For Mobile-Virtual Learning Supporting Vocational Mechatronics Engineering, Titih Rejyasmito Hadi, Eko Marpanaji
Designing And Quality Testing Of "Digichip" Virtual Simulation Software Of Android Platform For Mobile-Virtual Learning Supporting Vocational Mechatronics Engineering, Titih Rejyasmito Hadi, Eko Marpanaji
Jurnal Pendidikan Vokasi
Technology enhancement in any life aspects is undeniably crucial to face the globalization era. A strategic approach to touch any life aspect is gained through education. Supporting this educational long-term goal, this study aims to: (1) produce learning media in the form of a virtual-learning simulation software, which is capable of operation on mobile devices to facilitate mobile, portable, effective, economical, and operationally-safe learning; (2) test the developed software quality in terms of the functional aspects of suitability, maintainability, portability, and usability (ISO/IEC 25010). The subjects of this Research and Development (R&D) study were class XI students of Mechatronics Engineering …
Improving The Milling Machine Competency Learning Outcomes Through Industrial Project-Based Learning For Vocational School Students, Heri Yudiono, Wirawan Sumbodo, Salim Salim, Rizki Setiadi
Improving The Milling Machine Competency Learning Outcomes Through Industrial Project-Based Learning For Vocational School Students, Heri Yudiono, Wirawan Sumbodo, Salim Salim, Rizki Setiadi
Jurnal Pendidikan Vokasi
This research is motivated by the implementation of conventional learning. Besides, student learning motivation is still low due to student activities that are less centered on making workpieces that are suitable for work in the industry. Learning outcomes show that only 55.88% of students reach Minimum Completeness Criteria (Kriteria Ketuntasan minimum or KKM). The design and learning of productive machining competencies that are in accordance with the needs of the industry influence students' experience and learning outcomes. This study aims to analyze the results of industrial project-based learning (InPro-BL) milling machine competency learning outcomes in SMK Negeri 1 Semarang. The …
Graduates' Perception On The Importance Of Special Job Market In State Vocational High Schools In Langsa City, Al Fatahillah, Mochamad Bruri Triyono
Graduates' Perception On The Importance Of Special Job Market In State Vocational High Schools In Langsa City, Al Fatahillah, Mochamad Bruri Triyono
Jurnal Pendidikan Vokasi
This study aims to determine the perceptions of graduates of state vocational high schools in Langsa City on the performance of Special Job Market in vocational high schools based on the aspects of (1) Special Job Market performance; (2) role of Special Job Market; (3) Special Job Market service; and (4) the success of the Special Job Market. This study is quantitative research employing a descriptive approach. The population of the research is 365 graduates tracked through the Special Job Market of four vocational schools in Langsa City in 2007/2008. From the population, 15% were taken for the samples of …
Soft Skills Profile Of Vocational School Students In Yogyakarta City For Entering The Industrial World, Tri Wulaningrum, Samsul Hadi
Soft Skills Profile Of Vocational School Students In Yogyakarta City For Entering The Industrial World, Tri Wulaningrum, Samsul Hadi
Jurnal Pendidikan Vokasi
This study aims to determine the profile and how much the level of soft skills of Vocational High School students in Yogyakarta City. This study is survey research. The population of this study was all students grade XI of State Vocational Schools in Yogyakarta City. The sample of this study was 990 students. The data were collected using a questionnaire. The data were then analyzed and presented in a percentage form. The results of the study present that the percentage gain shows the soft skill profile of Vocational High School students in Yogyakarta City in each aspect, namely communication/persuasion skills …
The Dual-Design-Based Pneumatic Simulator As Supporting Media For Electro-Pneumatic Practicum In Vocational Higher Education, Sulaeman Deni Ramdani, Angga Pangestu, Haris Abizar
The Dual-Design-Based Pneumatic Simulator As Supporting Media For Electro-Pneumatic Practicum In Vocational Higher Education, Sulaeman Deni Ramdani, Angga Pangestu, Haris Abizar
Jurnal Pendidikan Vokasi
This study aims to: (1) determine the process of developing a learning media simulator for electro-pneumatic systems based on dual design, (2) knowing the effectiveness of learning media in the form of electro-pneumatic system simulators based on dual design. This research is a research and development adapted from the 4D development model, namely, Define, Design, Develop, and Disseminate. The subjects of this study were students of Mechanical Engineering Education in Semester IV and V, with 30 students taking pneumatic hydraulic courses. Data collection techniques in this study used questionnaires and interviews with research instruments in the form of interview guidelines …
A Diagnosis Of Students' Errors In Answering The Mathematics Test In Senior High School, Evana Gina Shantika, Edi Istiyono
A Diagnosis Of Students' Errors In Answering The Mathematics Test In Senior High School, Evana Gina Shantika, Edi Istiyono
Jurnal Penelitian dan Evaluasi Pendidikan
This study aims to reveal: (1) the characteristics of diagnostic test items used in mathematics subject of the first grade of senior high school (SHS); (2) the degree of errors from several types of students' errors in answering mathematics test; and (3) the dominant factor causing the students to make mistakes in answering mathematics test. This study used a quantitative approach involving the first graders of eight SHSs in Mataram as the population. The sample was collected by a proportionate random sampling technique, consisting of 350 students for preliminary field testing and 450 students for main field testing. The research …
Pengembangan Modul Matematika Dengan Model Pembelajaran Berbasis Masalah Untuk Siswa Kelas Vii Smp, Anjas Setyadi, Abdul Aziz Saefudin
Pengembangan Modul Matematika Dengan Model Pembelajaran Berbasis Masalah Untuk Siswa Kelas Vii Smp, Anjas Setyadi, Abdul Aziz Saefudin
PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika
Penelitian ini bertujuan untuk mendeskripsikan proses pengembangan dan mengasilkan modul matematika dengan model pembelajaran berbasis masalah untuk siswa kelas VII SMP pada materi segiempat, serta mendeskripsikan kualitas modul matematika ditinjau dari kualitas kevalidan, kepraktisan, dan keefektifan. Penelitian ini merupakan penelitian pengembangan yang mengacu pada model pengembangan ADDIE dengan tahapan Analysis, Design, Development, Implementation, dan Evaluation. Subjek uji coba penelitian adalah siswa kelas VII A SMP Negeri 2 Pajangan, Bantul. Teknik pengumpulan data yang digunakan dalam penelitian ini berupa observasi, angket, dan tes. Observasi dilakukan untuk mengamati keterlaksanaan pembelajaran. Angket digunakan untuk mengetahui penilaian ahli dan …