The Effectiveness of an Intervention Package on Math Computation

Abstract: Four second-grade students participated in a B-A-B withdrawal single-subject design experiment. The intervention package implemented consisted of three components: self-monitoring, performance feedback, and reinforcers. Participants completed math probes across phases. Accuracy and productivity was recorded and calculated. Results demonstrated the intervention package improved accuracy and productivity for all participants.

Math 412 - Topology with Applications

Highlights of Data Expedition: • Students explored daily observations of local climate data spanning the past 35 years. • Topological Data Analysis, or TDA for short, provides cutting-edge tools for studying the geometry of data in arbitrarily high dimensions. • Using TDA tools, students discovered intrinsic dynamical features of the data and learned how to quantify periodic phenomenon in a time-series. • Since nature invariably produces noisy data which rarely has exact periodicity, students also considered the theoretical basis of almost-periodicity and even invented and tested new mathematical definitions of almost-periodic functions. Summary The dataset we used for this data expedition comes from the Global Historical Climatology Network. “GHCN (Global Historical Climatology Network)-Daily is an integrated database of daily climate summaries from land surface stations across the globe.” Source: https://www.ncdc.noaa.gov/oa/climate/ghcn-daily/ We focused on the daily maximum and minimum temperatures from January 1, 1980 to April 1, 2015 collected from RDU International Airport. Through a guided series of exercises designed to be performed in Matlab, students explore these time-series, initially by direct visualization and basic statistical techniques. Then students are guided through a special sliding-window construction which transforms a time-series into a high-dimensional geometric curve. These high-dimensional curves can be visualized by projecting down to lower dimensions as in the figure below (Figure 1), however, our focus here was to use persistent homology to directly study the high-dimensional embedding. The shape of these curves has meaningful information but how one describes the “shape” of data depends on which scale the data is being considered. However, choosing the appropriate scale is rarely an obvious choice. Persistent homology overcomes this obstacle by allowing us to quantitatively study geometric features of the data across multiple-scales. Through this data expedition, students are introduced to numerically computing persistent homology using the rips collapse algorithm and interpreting the results. In the specific context of sliding-window constructions, 1-dimensional persistent homology can reveal the nature of periodic structure in the original data. I created a special technique to study how these high-dimensional sliding-window curves form loops in order to quantify the periodicity. Students are guided through this construction and learn how to visualize and interpret this information. Climate data is extremely complex (as anyone who has suffered from a bad weather prediction can attest) and numerous variables play a role in determining our daily weather and temperatures. This complexity coupled with imperfections of measuring devices results in very noisy data. This causes the annual seasonal periodicity to be far from exact. To this end, I have students explore existing theoretical notions of almost-periodicity and test it on the data. They find that some existing definitions are also inadequate in this context. Hence I challenged them to invent new mathematics by proposing and testing their own definition. These students rose to the challenge and suggested a number of creative definitions. While autocorrelation and spectral methods based on Fourier analysis are often used to explore periodicity, the construction here provides an alternative paradigm to quantify periodic structure in almost-periodic signals using tools from topological data analysis.

Utilizing Traditional Cognitive Measures of Academic Preparation to Predict First-Year Science, Technology, Engineering, and Mathematics (STEM) Majors' Success in Math and Science Courses

For the past several years, U.S. colleges and universities have faced increased pressure to improve retention and graduation rates. At the same time, educational institutions have placed a greater emphasis on the importance of enrolling more students in STEM (science, technology, engineering and mathematics) programs and producing more STEM graduates. The resulting problem faced by educators involves finding new ways to support the success of STEM majors, regardless of their pre-college academic preparation. The purpose of my research study involved utilizing first-year STEM majors’ math SAT scores, unweighted high school GPA, math placement test scores, and the highest level of math taken in high school to develop models for predicting those who were likely to pass their first math and science courses. In doing so, the study aimed to provide a strategy to address the challenge of improving the passing rates of those first-year students attempting STEM-related courses. The study sample included 1018 first-year STEM majors who had entered the same large, public, urban, Hispanic-serving, research university in the Southeastern U.S. between 2010 and 2012. The research design involved the use of hierarchical logistic regression to determine the significance of utilizing the four independent variables to develop models for predicting success in math and science. The resulting data indicated that the overall model of predictors (which included all four predictor variables) was statistically significant for predicting those students who passed their first math course and for predicting those students who passed their first science course. Individually, all four predictor variables were found to be statistically significant for predicting those who had passed math, with the unweighted high school GPA and the highest math taken in high school accounting for the largest amount of unique variance. Those two variables also improved the regression model’s percentage of correctly predicting that dependent variable. The only variable that was found to be statistically significant for predicting those who had passed science was the students’ unweighted high school GPA. Overall, the results of my study have been offered as my contribution to the literature on predicting first-year student success, especially within the STEM disciplines.

Model Development Guidelines for UML-RT: Conventions, Patterns and Antipatterns

Software development guidelines are a set of rules which can help improve the quality of software. These rules are defined on the basis of experience gained by the software development community over time. This paper discusses a set of design guidelines for model-based development of complex real-time embedded software systems. To be precise, we propose nine design conventions, three design patterns and thirteen antipatterns for developing UML-RT models. These guidelines have been identified based on our analysis of around 100 UML-RT models from industry and academia. Most of the guidelines are explained with the help of examples, and standard templates from the current state of the art are used for documenting the design rules.

Adding Run-Time Monitoring to UML-RT by Modifying the Papyrus-RT Code Generator

In Model-Driven Engineering (MDE), the developer creates a model using a language such as Unified Modeling Language (UML) or UML for Real-Time (UML-RT) and uses tools such as Papyrus or Papyrus-RT that generate code for them based on the model they create. Tracing allows developers to get insights such as which events occur and timing information into their own application as it runs. We try to add monitoring capabilities using Linux Trace Toolkit: next generation (LTTng) to models created in UML-RT using Papyrus-RT. The implementation requires changing the code generator to add tracing statements for the events that the user wants to monitor to the generated code. We also change the makefile to automate the build process and we create an Extensible Markup Language (XML) file that allows developers to view their traces visually using Trace Compass, an Eclipse-based trace viewing tool. Finally, we validate our results using three models we create and trace.

Supporting Run-time Monitoring of UML-RT through Customizable Monitoring Configurations in PapyrusRT

Model Driven Engineering uses the principle that code can automatically be generated from software models which would potentially save time and cost of development. By this methodology, a systems structure and behaviour can be expressed in more abstract, high level terms without some of the accidental complexity that the use of a general purpose language can bring. Models are the actual implementation of the system unlike in traditional software development where models are often used for documentation purposes only. However once the code is generated from the model, testing and debugging activities tend to happen on the code level and the model is not updated. We believe that monitoring on the model level could potentially facilitate quality assurance activities as the errors are detected in the early phase of development. In this thesis, we create a Monitoring Configuration for an open source model driven engineering tool called PapyrusRT in Eclipse. We support the run-time monitoring of UML-RT elements with a tracing tool called LTTng. We annotate the model with monitoring information to be used by the code generator for adding tracepoint statements for the corresponding elements. We provide the option of a timing specification to discover latency errors on the model. We validate the results by creating and tracing real time models in PapyrusRT.

Exercit@rt mobile : monitorização da reabilitação respiratória na DPOC

A prevalência estimada da Doença Pulmonar Obstrutiva Crónica (DPOC) em Portugal é de 14,2% para indivíduos com idade superior a 45 anos (cerca de 800.000 indivíduos), sendo mais prevalente no sexo masculino (Observatório Nacional das Doenças Respiratórias, 2014). Com o aparecimento de soluções baseadas em novas modalidades de eHealth e mHealth surgiram novas formas de acompanhamento e monitorização das doenças crónicas, nomeadamente da DPOC. É neste contexto que foi desenvolvida a aplicação mobile Exercit@rt, em parceria com a Escola Superior de Saúde da Universidade de Aveiro e em continuidade com outros estudos do MCMM anteriormente desenvolvidos. A aplicação permite monitorizar, em tempo real, através da utilização de um oxímetro Bluetooth, os níveis de batimento cardíaco e saturação de oxigénio dos pacientes com DPOC. Com esta aplicação os pacientes podem realizar diversos exercícios de fisioterapia respiratória assim como atividades físicas de vida diária que podem ser monitorizadas, georreferenciadas e avaliadas. Para além do desenvolvimento da aplicação mobile, a presente investigação integrou ainda uma etapa de validação que contou com a participação de dez pacientes com doenças do foro respiratório – cinco utilizadores que utilizam/têm smartphone (UTS) e cinco utilizadores não utilizam/não têm smartphone (NUNTS). A cada um destes foram propostas tarefas a realizar na aplicação mobile, estando previsto que a aplicação estivesse apta para qualquer participante. A totalidade dos participantes reconheceu a utilidade da aplicação no controlo da sua doença.

3531: Neoadjuvant radiotherapy (RT) combined with capecitabine (Cape) and sorafenib (Sor) in patients (pts) with locally advanced, k-ras-mutated rectal cancer (LARC): A phase I/II trial SAKK 41/08

Background: K-ras mutation is found in up to 40% of LARC. Sor is a multitarget tyrosine kinase inhibitor including raf and VEGFR and has demonstrated radiosensitizing effects. Sor might improve outcome of standard preoperative radio-chemotherapy in patients with k-ras mutated LARC. Methods: Pts with k-ras mutated T3-4 and/or N+, M0 disease by MRI were included. Recommended doses from phase I part consisted of RT 1.8 Gy/day x25 with Cape 825mg/m2bid x 33 in combination with Sor 400mg/d. The primary endpoint for the phase II part was pathological complete response (pCR) prospectively defined as grade 3 (near complete regression) or 4 (complete regression) in the histological grading system according to Dworak (DC). A pCR rate of 8% or lower was considered uninteresting and of 22% or higher was promising. Secondary endpoints included sphincter preservation, R0 resection, downstaging and safety. Results: 54 pts were treated in 18 centers in Switzerland und Hungary, 40 pts were included into the single arm phase II part. Median dose intensity per day was 100.0% for RT, 98.6% for Cape and 100.0% for Sor respectively. pCR rate was 60.0% (95%CI: 43.3%, 75.1%) by central independent pathological review (15.0% DC grade 4; 45.0% DC grade 3). Sphincter preservation was achieved in 89.5%, R0 resection in 94.7% and downstaging in 81.6% of the pts. The most common grade 3 toxicities included diarrhea (15.0%), skin toxicity outside of the RT field (12.5%), pain (7.5%), skin toxicity in RT field, proctitis, fatigue and cardiac ischemia (each 5.0%). Laboratory AEs grade 3/4 were neutropenia (1 pt grade 4; 1 grade 3), creatinine elevation (1 pt grade 3). Conclusions: The combination of Sor to standard RCT with Cape in k-ras mutated LARC tumors is highly active with acceptable toxicity and deserves further investigation.

Urakoitsijan virhevastuusta rakennusalan vakiosopimusehtojen YSE 1998 (RT 16–10660) mukaan

Rakentamisen laatutasoon liittyvät kysymykset ovat nousseet viimeksi kuluneiden vuosikymmenten aikana Suomessa tasaisin väliajoin otsikoihin. Oman osansa kritiikistä ovat saaneet niin rakentajat, suunnittelutoimistot kuin rakennusalaa sääntelevät usein varsin tiukat ja yksityiskohtaiset viranomaismääräykset, -ohjeet ja standardit. Koska rakennuksissa havaittuihin laatuvirheisiin liittyy usein merkittävänä pidettäviä kansantaloudellisia ja -terveydellisiä haittoja, on tulevaisuudessa syytä kiinnittää enenevässä määrin huomiota korkealaatuisen rakennustoiminnan edistämiseen sekä rakennusvirheiden kustannustehokkaaseen ennaltaehkäisyyn. Em. tavoite korostuu erityisesti silloin, kun vaativat ilmasto-olosuhteet asettavat rakennusten kestolle ja käyttöiälle merkittävänä pidettäviä haasteita. Edelleen rakennustoiminnan tehokkaamman laadunvalvonnan ja rakennusprosessin kokonaisvaltaisen valvonnan kiristämisen puolesta puhuvina seikkoina voidaan mainita muun muassa rakennuksilta lähtökohtaisesti edellytettävä pitkä käyttöikä kestokulutushyödykkeeksi lueteltavien ominaisuuksiensa johdosta. Johdantokappaleen jälkeen tutkielmassa keskitytään tarkastelemaan rakennusurakan työnjaollisia periaatteita sekä urakoitsijan työntuloksen saavuttamisen kannalta keskeisimpinä pidettäviä velvollisuuksia. Rakennusaikaisen vastuun osalta merkittävässä asemassa ovat urakoitsijan selonotto-, huomautuksenteko- ja reklamaatiovelvollisuudet. Rakennusurakan kumpaakin sopijapuolta velvoittavista periaatteista voidaan mainita muun muassa lojaliteetti-, myötävaikuttamis- ja yhteistoimintaperiaatteet. Urakoitsijan virhevastuuta käsittelevässä kolmannessa luvussa esitetään urakoitsijan sopimusoikeudellisen vastuun pääkohdat sekä keskeisimmät tilaajan käytettävissä olevat oikeuskeinot, silloin kun urakoitsijan työntulosta on pidettävä virheellisenä. Tutkielman neljän-nessä luvussa tarkastellaan urakoitsijan virhevastuuta takuuaikana havaituista rakennusvirheistä. Urakoitsijan takuuajan jälkeistä vastuuta käsittelevässä viidennessä luvussa tutkitaan muun muassa urakoitsijan mahdollisuuksia rajoittaa virhevastuutaan sekä urakoitsijan vastuuta käyttämistään aliurakoitsijoista ja muista täytäntöönpanoapulaisistaan. Tutkielman päättävässä kuudennessa luvussa esitetään yleisiä huomioita rakentamisen laatuvirheiden ehkäisemiseksi.

Das Evangelium nach Johannes : deutsch erklärt /

Mode of access: Internet.

The background impact in HEI math lectures: an experience in math in the 1st year of Accounting and Management Degree

It is a fact, and far from being a new one, that students have been entering Higher Education courses with many different backgrounds in terms of secondary school programs they attended. The impact of these basic skills is a general and worldwide challenge, fundamentally when facing some specific “constructive” subjects like foreign languages and Mathematics. Working with students with an extensive variety of Math qualifications is an outrageous challenge when they enter an advanced Math course, leading to an almost generalized expectations’ failure - from students enrolled in course and from their teachers, who feel powerless in trying to monitor knowledge construction from completely different “starting points”. If teachers’ "haste" is average, more than half of the students do not “go along” and give up, even before experiencing any kind of evaluation procedure. On the contrary, if the “speed” is too low, others are discouraged (feeling not progressing at all) and the teacher runs the risk of not meeting the minimum objectives (general and specific) of its course, which may have a negative impact on students’ future training development. Failure in Mathematics, despite being a recurrent and global issue, does not have any “magical solution”, however, in general, teachers in this area seem untiring, searching, investigating, trying and implementing new and old “recipes” to tackle and demystify this subject. In this article we describe a project developed in a Math course, with the first year students from an Accounting and Management bachelor degree, and its outcomes since it was brought to practice, revealing its impact in students’ success, from approval to dropout rates, in this course. We will shortly describe students’ differentiated Math backgrounds, their results in a pre-assessment analysis and how we try to deal with these differences and level them up, having in mind the same “finish line”. One should never forget that all these students where officially accepted in higher education institutions, so they are ones’ reality, the reality of institutions whose name one should value and strive to defend.

Niveles de expresión de citocromos P450 (CYP6AA7, CYP4C52v1, CYP6BY3, CYP9J34, CYP9M10, CYP9J40 y CYP9AL1) determinados por RT-qPCR en larvas de Culex quinquefasciatus expuestas a diversos insecticidas.

En el presente trabajo, se describen los niveles de expresión de siete transcritos de Culex quinquefasciatus que codifican para citocromos P450, estos medidos por qPCR en larvas expuestas a dos concentraciones del insecticida permetrina (0.51 y 0.71 mg) comparadas con un grupo control sin exponer, las cuales fueron colectadas en distintas localidades del noreste de México. Debido a que los genes analizados no se encontraban reportados, fue necesario diseñar oligonucleótidos utilizando secuencias trazas producto de la secuenciación del genoma del mosquito antes mencionado. Con los oligonucleótidos diseñados y utilizando DNA complementario, sintetizado a partir de RNA total de las larvas fueron amplificados por PCR los mensajeros, se procedió a clonar cada uno de estos genes en nueve poblaciones analizadas, posteriormente fueron secuenciados y éstas fueron comparadas para deducir los porcentajes de similitud. Se diseñaron sondas taqman en segmentos conservados, y utilizando el DNA complementario previamente sintetizado fueron deducidos los niveles de expresión de cada uno de los genes analizados bajo las condiciones citadas anteriormente para las poblaciones. Con el trabajo realizado, reportamos las secuencias nucleótidicos y aminoacídicas de cada uno de los genes analizados de cada una de las poblaciones estudiadas y sus niveles de expresión. Concluimos que los genes analizados son una herramienta potente para ahondar en el estatus de resistencia que han desarrollado las poblaciones silvestres de Culex quinquefasciatus en localidades del noreste de México.

A survey of the northern neck of Virginia, being the lands belonging to the Rt. Honourable Thomas Lord Fairfax Baron Cameron, bounded by & within the Bay of Chesapoyocke and between the rivers Rappahannock and Potowmack: With the courses of the rivers Rappahannock and Potowmack, in Virginia, as surveyed according to order in the years 1736 & 1737.

Scale ca. 1:875,000.

STUDENTS’ PERCEPTIONS OF TEACHER INSTRUMENTAL SUPPORT AS A PREDICTOR OF MOTIVATION IN READING AND MATH AND ACHIEVEMENT FROM SECOND THROUGH TWELFTH GRADE

In this study, relations among students’ perceptions of instrumental help/support from their teachers and their reading and math ability beliefs, subjective task values, and academic grades, were explored from elementary through high school. These relations were examined in an overall sample of 1,062 students from the Childhood and Beyond (CAB) study dataset, a cohort-sequential study that followed students from elementary to high school and beyond. Multi-group structural equation model (SEM) analyses were used to explore these relations in adjacent grade pairs (e.g., second grade to third grade) in elementary school and from middle school through high school separately for males and females. In addition, multi-group latent growth curve (LGC) analyses were used to explore the associations among change in the variables of interest from middle school through high school separately for males and females. The results showed that students’ perceptions of instrumental help from teachers significantly positively predicted: (a) students’ math ability beliefs and reading and math task values in elementary school within the same grade for both girls and boys, and (b) students’ reading and math ability beliefs, reading and math task values, and GPA in middle and high school within the same grade for both girls and boys. Overall, students’ perceptions of instrumental help from teachers more consistently predicted ability beliefs and task values in the academic domain of math than in the academic domain of reading. Although there were some statistically significant differences in the models for girls and boys, the direction and strength of the relations in the models were generally similar for both girls and boys. The implications for these findings and suggestions for future research are discussed.