Predicting Graph Categories from Structural Properties

Complex networks are often categorized according to the underlying phenomena that they represent such as molecular interactions, re-tweets, and brain activity. In this work, we investigate the problem of predicting the category (domain) of arbitrary networks. This includes complex networks from different domains as well as synthetically generated graphs from five different network models. A classification accuracy of 96.6% is achieved using a random forest classifier with both real and synthetic networks. This work makes two important findings. First, our results indicate that complex networks from various domains have distinct structural properties that allow us to predict with high accuracy the category of a new previously unseen network. Second, synthetic graphs are trivial to classify as the classification model can predict with near-certainty the network model used to generate it. Overall, the results demonstrate that networks drawn from different domains (and network models) are trivial to distinguish using only a handful of simple structural properties

Crowdsourcing Classroom Observations to Identify Misconceptions in Data Science

Web-browsing histories, online newspapers, streaming music, and stock prices all show that we live in an age of data. Extracting meaning from data is necessary in many fields to comprehend the information flow. This need has fueled rapid growth in data science education aiming to serve the next generation of policy makers, data science researchers, and global citizens. Initially, teaching practices have been drawn from data science\u27s parent disciplines (e.g., computer science and mathematics). This project addresses the early stages of developing a concept inventory of student difficulty within the newly emerging field of data science. In particular this project will address three primary research objectives: (1) identify student misconceptions in data science courses; (2) document students’ prior knowledge and identify courses that teach early data science concepts; and (3) confirm expert identification of data science concepts, and their importance for introductory-level data science curricula. During the first year of this grant, we have collected approximately 200 responses for a survey to confirm concepts from an existing body of knowledge presented by the Edison Project. Survey respondents are comprised of faculty and industry practitioners within data science and closely related fields. Preliminary analysis of these results will be presented with respect to our third research objective. In addition, we developed and launched a pilot assessment for identifying student difficulties within data science courses. The protocol includes regular responses to reflective questions by faculty, teaching assistants, and students from selected data science courses offered at the three participating institutions. Preliminary analyses will be presented along with implications for future data collection in year two of the project. In addition to the anticipated results, we expect that the data collection and analysis methodologies will be of interest to many scholars who have or will engage in discipline-based educational research

Evaluation of EDISON\u27s Data Science Competency Framework Through a Comparative Literature Analysis

During the emergence of Data Science as a distinct discipline, discussions of what exactly constitutes Data Science have been a source of contention, with no clear resolution. These disagreements have been exacerbated by the lack of a clear single disciplinary \u27parent.\u27 Many early efforts at defining curricula and courses exist, with the EDISON Project\u27s Data Science Framework (EDISON-DSF) from the European Union being the most complete. The EDISON-DSF includes both a Data Science Body of Knowledge (DS-BoK) and Competency Framework (CF-DS). This paper takes a critical look at how EDISON\u27s CF-DS compares to recent work and other published curricular or course materials. We identify areas of strong agreement and disagreement with the framework. Results from the literature analysis provide strong insights into what topics the broader community see as belonging in (or not in) Data Science, both at curricular and course levels. This analysis can provide important guidance for groups working to formalize the discipline and any college or university looking to build their own undergraduate Data Science degree or programs

ДОСЛІДЖЕННЯ ТА АНАЛІЗ ІННОВАЦІЙНИХ ЗАХОДІВ З ТЕХНОЛОГІІ КОМПЛЕКСНОЇ УТИЛІЗАЦІЇ ПІСЛЯСПИРТОВОЇ БАРДИ

The subject of the article's research is the technology of processing and recycling of post-alcohol bard based on the types of technology and equipment. The possibility of using the advantages of modern plate heat exchangers for the integration of their technological processes is established. An innovative subject of research is a complex technology of processing and final disposal of post-alcohol bards. The article provides an assessment of how to use bard filtrate to obtain feed products enriched with live cells of lactobacilli and propionic acid, as well as protein. In such technologies, the introduction of cobalt chloride into the environment at a concentration of 1.1 mg/l causes an increase in the content of biomass, living cells of bacteria of propionic acid and protein accumulation. The content of nucleic acids in feed products obtained as separate and co-growing bacteria does not exceed the allowable level (up to 10 g/day) of animal consumption. In the post-alcohol bard study, a high protein content was obtained. The filtrate can be completely returned to alcohol production. This article describes the possibilities of assessing: the main demands to ethyl alcohol production looked through, it is considered. The possibility of using the advantages of modern plate heat exchangers units for their tntrgy saving process integration was pointed out.Предметом исследования статьи является технология переработки и утилизации послеспиртовой барды на базе разновидностей технологии и оборудования. Установлена возможность использования преимуществ современных пластинчатых теплообменников для интеграции технологических процессов. Инновационным предметом исследования является комплексная технология переработки и конечной утилизации послеспиртовой барды. Материалы статьи предоставляют оценку способам использования фильтрата барды для получения кормовых продуктов, обогащенных живыми клетками бактерий лактобактерий и пропионовой кислоты, а также белком. В таких технологиях введение хлорида кобальта в окружающую среду в концентрации 1,1 мг/л вызывает увеличение содержания биомассы, живых клеток бактерий пропионовой кислоты и накопление белка. Содержание нуклеиновых кислот в продуктах корма, полученных как раздельным, так и общим выращиванием бактерий, не превышает допустимый уровень (до 10 г/сут) потребления животных. В процессе исследования послеспиртовой барды получено белок высокое содержание. Фильтрат может быть возвращен полностью в спиртовое производство.Предметом дослідження статті є технологія переробки та утилізації післяспиртової барди на базі різновидів технології та обладнання. Встановлено можливість використання переваг сучасних пластинчастих теплообмінників для інтеграції їх технологічних процесів. Інноваційним предметом дослідження є комплексна технологія переробки та кінцевої утилізації післяспиртової барди. Матеріали статті надають оцінку способам використання фільтрату барди для отримання кормових продуктів, збагачених живими клітинами бактерій лактобактерій та пропіонової кислоти, а також білком. У таких технологіях введення хлориду кобальту в навколишнє середовище в концентрації 1,1 мг/л викликає збільшення вмісту біомаси, живих клітин бактерій пропіонової кислоти та накопичення білка. Вміст нуклеїнових кислот у продуктах корму, отриманих як роздільним, так і спільним вирощуванням бактерій, не перевищує допустимий рівень (до 10 г/добу) споживання тварин. У процесі дослідження післяспиртової барди отримано білок високий вміст. Фільтрат може бути повернутий повністю в спиртове виробництво

Fractal dimension (df) as a new structural biomarker of clot microstructure in different stages of lung cancer

Venous thromboembolism (VTE) is common in cancer patients, and is the second commonest cause of death associated with the disease. Patients with chronic inflammation, such as cancer, have been shown to have pathological clot structures with modulated mechanical properties. Fractal dimension (df) is a new technique which has been shown to act as a marker of the microstructure and mechanical properties of blood clots, and can be performed more readily than current methods such as scanning electron microscopy (SEM). We measured df in 87 consecutive patients with newly diagnosed lung cancer prior to treatment and 47 matched-controls. Mean group values were compared for all patients with lung cancer vs controls and for limited disease vs extensive disease. Results were compared with conventional markers of coagulation, fibrinolysis and SEM images. Significantly higher values of df were observed in lung cancer patients compared with controls and patients with extensive disease had higher values than those with limited disease (p< 0.05), whilst conventional markers failed to distinguish between these groups. The relationship between df of the incipient clot and mature clot microstructure was confirmed by SEM and computational modelling: higher df was associated with highly dense clots formed of smaller fibrin fibres in lung cancer patients compared to controls. This study demonstrates that df is a sensitive technique which quantifies the structure and mechanical properties of blood clots in patients with lung cancer. Our data suggests that df has the potential to identify patients with an abnormal clot micro-structure and greatest VTE risk

The 2012 Interferometric Imaging Beauty Contest

We present the results of the fifth Interferometric Imaging Beauty Contest. The contest consists in blind imaging of test data sets derived from model sources and distributed in the OIFITS format. Two scenarios of imaging with CHARA/MIRC-6T were offered for reconstruction: imaging a T Tauri disc and imaging a spotted red supergiant. There were eight different teams competing this time: Monnier with the software package MACIM; Hofmann, Schertl and Weigelt with IRS; Thi\'ebaut and Soulez with MiRA ; Young with BSMEM; Mary and Vannier with MIROIRS; Millour and Vannier with independent BSMEM and MiRA entries; Rengaswamy with an original method; and Elias with the radio-astronomy package CASA. The contest model images, the data delivered to the contestants and the rules are described as well as the results of the image reconstruction obtained by each method. These results are discussed as well as the strengths and limitations of each algorithm

Photon-Photon and Electron-Photon Colliders with Energies Below a TeV

We investigate the potential for detecting and studying Higgs bosons in $\gamma\gamma$ and $e\gamma$ collisions at future linear colliders with energies below a TeV. Our study incorporates realistic $\gamma\gamma$ spectra based on available laser technology, and NLC and CLIC acceleration techniques. Results include detector simulations. We study the cases of: a) a SM-like Higgs boson based on a devoted low energy machine with $\sqrt{s_{ee}}\le 200$ GeV; b) the heavy MSSM Higgs bosons; and c) charged Higgs bosons in $e\gamma$ collisions.We investigate the potential for detecting and studying Higgs bosons in $\gamma\gamma$ and $e\gamma$ collisions at future linear colliders with energies below a TeV. Our study incorporates realistic $\gamma\gamma$ spectra based on available laser technology, and NLC and CLIC acceleration techniques. Results include detector simulations. We study the cases of: a) a SM-like Higgs boson based on a devoted low energy machine with $\sqrt{s_{ee}}\le 200$ GeV; b) the heavy MSSM Higgs bosons; and c) charged Higgs bosons in $e\gamma$ collisions

Search for supersymmetry in events with b-quark jets and missing transverse energy in pp collisions at 7 TeV

Results are presented from a search for physics beyond the standard model based on events with large missing transverse energy, at least three jets, and at least one, two, or three b-quark jets. The study is performed using a sample of proton-proton collision data collected at sqrt(s) = 7 TeV with the CMS detector at the LHC in 2011. The integrated luminosity of the sample is 4.98 inverse femtobarns. The observed number of events is found to be consistent with the standard model expectation, which is evaluated using control samples in the data. The results are used to constrain cross sections for the production of supersymmetric particles decaying to b-quark-enriched final states in the context of simplified model spectra.Comment: Submitted to Physical Review