Digital Commons Network^™

A Spider's Approach To Steam, Stefan Haesen

The Transdisciplinary STEAM+ Journal

In this paper we present an overview of different approaches towards STEAM education, including the choices in methodology and pedagogy. From these various viewpoints we build up a framework for STEAM education and relate it to a real-world problem, namely, how a small spider can catch a prey.

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.

Story As A Mathematics Instructional Strategy, Samantha F. Junkin

The Transdisciplinary STEAM+ Journal

Traditional mathematics curriculum does not always meet the student’s needs. Lecturing students does not engage, motivate, and activate their critical thinking skills. Essentially, the curriculum has become separated from the real-world context in which mathematical theorems are applied. Students don’t understand the purpose in their learning. STEM curriculum focuses on the content areas of science, technology, engineering, and mathematics; however, the STEAM curriculum takes the STEM curriculum a step further by incorporating the arts into those content areas. By doing so, it reaches more students in an innovative approach of the creative process. The instructional strategy of story is the …

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 …

“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 …

Visual Contagions, The Art Historian, And The Digital Strategies To Work On Them, Béatrice Joyeux-Prunel

Artl@s Bulletin

How do images and styles spread out over time and place? This article presents how art historians can use digital methods to study “visual contagions”– the visual part of globalization: how images circulate, as material artefacts (paintings, sculptures, engravings, etc.…) or in reproductions (in illustrated periodicals, in photography, or on the internet…), through which channels (cultural, geographical, political…) and according to which visual logics. It sketches the new possibilities offered by deep learning and artificial intelligence algorithms applied to images, to better understand the epidemiology of visual diffusions. This Paper is also an opportunity to assess 10 years of digital …

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

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

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 …

Customized Boron And Magnesium-Based Reactive Materials Prepared By High Energy Mechanical Milling, Xinhang Liu

Dissertations

New reactive materials need to be developed having biocidal combustion products. When ignited, such material can add chemical biocidal effects to the common effects of high temperature and pressure. Biocidal combustion products are capable of deactivating harmful spores or bacteria, which can be released by targets containing biological weapons of mass destruction. Research showed that halogens, especially iodine, are effective as biocidal components of reactive material formulations. Recently, magnesium combustion product MgO is also found to have a biocidal effect. Thus, advanced formulations containing both magnesium and iodine are of interest; such formulations are prepared and investigated here.

Reactive materials …

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 …

Perivascular Waste Metabolites Clearance In Central Nervous System (Cns), Yiming Cheng

Dissertations

Efficient clearance of interstitial waste metabolites is essential for normal brain homeostasis. Such effective clearance is hampered by the lack of a lymphatic system in the brain, and the cerebrospinal fluid (CSF) is unable to clear large size waste metabolites in the brain. Here, a novel idea that brain arterial endothelium and smooth muscle cells reactivity regulates the clearance of these water-insoluble large size waste metabolites through the perivascular dynamic exchange, and that low dose ethanol promotes this perivascular clearance is proposed.

In Aim 1, the biodistribution of a large size waste metabolite (Amyloid-β protein mimic) in rat perivascular space …

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

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

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

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

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

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 …

2019 Adult Peacebuilding Bibliography, Rosemary Doyle

Citizens for Peace

No abstract provided.

Bibliography Of Nonviolent Peacebuilding Materials 2019 Ed., Colleen Mills

Citizens for Peace

Introduction to the 2019 Bibliography of Peace and Justice Materials

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

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 …

Example-Based Learning For Vocational Education: Adopted From Balinese Heuristics Learning, I Made Candiasa, Nyoman Santiyadnya, Nyoman Sukajaya, I Gede Partha Sindu

Jurnal Pendidikan Vokasi

Vocational education has a very strategic role. Graduates produced are equipped with the competence to open new job opportunities or at least ready to enter the workforce. Therefore, vocational education development, such as training facilities, teacher development, and learning process improvement, must be intensified. This study tries to develop an example-based learning model for vocational education adopted from the learning model on cultural activities that surround Balinese people's daily life. A three-stage prototyping method was used: preliminary research, prototyping stage, and assessment stage. The syntax of example-based learning models consists of six phases: (1) conveying goals and motivating students, (2) …

Design Research On Applied Realistic Mathematics Education (Rme) Approach In Teaching Math For Vocational College, Sri Imelda Edo, Wahyuni Fanggi Tasik

Jurnal Pendidikan Vokasi

Several studies documented that mathematics, as it is taught in general secondary education, is far away from what is needed for most fields of vocational practice. Some studies found that workplace mathematics demands are very different from traditional mathematics taught in classrooms. Therefore, this study aims to design a learning trajectory for teaching mathematics in vocational college, oriented on the Realistic Mathematics Education (RME) approach to improve students' understanding and motivation in learning mathematics. Design research was chosen as an appropriate method to answer the research questions and achieve the research goals. Design research methods consist of three phases, namely …

Employability Skills Of Vocational School Students In Palu City For Entering The Work World, Pusriawan Pusriawan, Sunaryo Soenarto

Jurnal Pendidikan Vokasi

This study aims to determine how much the level of employability skills of students of State Vocational Schools in Palu City. This type of research is a type of survey that is to describe the attitudes, behaviors, and opinions of students' research employability skills using a quantitative deskriptive approach, then the results of data analysis are described qualitatively, then presented in graphs, diagrams, tables, mean, modes, medians, standard deviation and variant. The population in this study was 1,275 students with a study sample of 295 students. The data collection technique used is using a questionnaire. The results of the study …

The Need Of Practical Teaching In Vocational High School Of Automation And Office Management Program, Febrika Yogie Hermanto, Sutirman Sutirman, Berlina Hidayati, Mar'atus Sholikah

Jurnal Pendidikan Vokasi

The success of vocational education cannot be separated from the proper management of learning by its objectives. This study aims to explore the pitfalls and the needs of practical teaching in the Vocational High School of Automation and Office Management Program (AOMP) in Yogyakarta city. This research uses a descriptive method with a qualitative approach. The data obtained were analyzed by using the qualitative analysis model of Miles and Huberman with stages: data reduction, presenting data, verifying data, and concluding data. The results of this study show that the complex equations that are occurred in practical learning of the Vocational …

Muatan Penalaran Dan Pembuktian Matematis Pada Buku Teks Matematika Sma Kelas X Kurikulum 2013, Tria Utari, Hartono Hartono

Jurnal Riset Pendidikan Matematika

Penelitian ini bertujuan untuk mendeskripsikan muatan penalaran dan pembuktian matematis pada buku teks matematika SMA kelas X Kurikulum 2013. Penelitian ini menggunakan pendekatan kualitatif deskriptif jenis analisis isi. Sumber data penelitian adalah buku teks Matematika kelas X Kurikulum 2013 edisi revisi 2016 yang diterbitkan oleh Pusat Kurikulum dan Perbukuan Balitbang Kementerian Pendidikan dan Kebudayaan Republik Indonesia. Teknik pengumpulan data dalam penelitian ini adalah pembacaan dan pencatatan dengan menggunakan instrumen yang telah divalidasi berupa pedoman analisis dokumen. Data penelitian dianalisis menggunakan skema Kripendorff yang meliputi pengumpulan data, penentuan sampel, perekaman/pencatatan, reduksi, penarikan kesimpulan dan narasi. Hasil penelitian menunjukkan bahwa pada bagian …

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 …

Continuing Professional Development Towards Teachers' Performance At Vocational Secondary Schools In Surakarta, Isti Setya Rini, Ismi Dwi Astuti Nurhaeni, C. Dyah Sulistyaningrum Indrawati

Jurnal Pendidikan Vokasi

Continuing Professional Development is a program from the government so that teachers can develop their performance. Continuing Professional Development includes: self-development, scientific publications, and innovative work. This study aims to determine the effect of Sustainable Professional Development (self-development, scientific publications, and innovative work) on the performance of vocational business and management teachers in Surakarta. This study uses a quantitative method with Structural Equation Modeling Partial Least Square (SEM-PLS) analysis. The study sample was 158 business and management vocational teachers in Surakarta, Indonesia. The results of the study show that 1) self-development has a positive and significant influence on teacher performance …