Miracle-dz/UniFAR-FTUs huggingface dataset:
Team Software Process (TSP) Coach Mentoring Program Guidebook, Version 2.0

x Introduction 1 1.1 Audience 1 1.2 Why Mentoring? 1 1.3 Mentor and Mentee 2 1.3.1 What is a Mentor? 2 1.3.2 What is a Mentee? 3 1.4 TSP Coaching Qualification Overview 3 1.5 Similarities and Differences Between Coaching and Mentoring 5 Mentoring Concepts 7 2.1 What is Mentoring? 7 2.1.1 The Mentoring Process 7 2.1.2 Mentoring Relationships 7 2.1.3 Mentoring Objectives 7 2.1.4 Types of Mentoring 8 2.2 Stages in a Mentoring Relationship 8 2.2.1 The Preparation/Prescriptive Stage 9 2.2.2 The Persuasive Stage 9 2.2.3 The Enabling/Collaborative Stage 10 2.2.4 The Closure/Confirmative Stage 10 2.3 The Mentor and Mentee Roles 10 2.3.1 The Mentor Role 10 2.3.2 The Mentee Role 11 2.4 Obstacles to Successful Mentorships 11 Mentoring TSP Associate Coaches, Coaches, and Mentor Coaches 13 3.1 Why Is Mentoring Needed in the TSP Coach Qualification Model? 13 3.2 The Provisional Associate Coach 14 3.3 The Provisional Coach 14 3.4 The Provisional TSP Mentor Coach 14 TSP Associate Coach Observation Phase 16 4.1 Relationship Between Coach and Associate Coach 16 4.2 Provisional Associate Coach Observation 17 The TSP Coach Mentoring Program 19 5.1 TSP Mentoring Phases 19 5.2 Conducting Mentoring Sessions 22 5.3 Guidance for Mentors and Provisional Coaches 22 5.3.1 General Guidance for Answering Questions 22 5.4 TSP Coach Mentoring Roadmap 24 Communication and Record Keeping 25 6.1 SEI-Certified TSP Associate Coach 25 6.1.1 Becoming an SEI-Certified TSP Associate Coach 25 6.1.2 Provisional Associate Coach Evaluation and Data Submission 25 6.2 SEI-Certified TSP Coach 26 6.2.1 Becoming an SEI-Certified TSP Coach 26 6.2.2 Provisional Coach Evaluation and Data Submission 27
Imagens digitais na análise do uso da terra de uma microbacia como subsídio ao desenvolvimento sustentável

Este trabalho visou discriminar, mapear e quantificar as areas de uso da terra da microbacia do Ribeirao Monte Belo - Botucatu (SP), obtido por imagens digitais. As bases cartograficas foram a carta planialtimetrica, editada pelo IBGE (1969) e as imagens de satelite LANDSAT – 5 e 7, passagens de 21/01/1999, 08/01/2003 e 23/10/2006. O software Idrisi Andes 15.0 foi utilizado para conversao da informacao analogica para digital e para determinacao das areas das coberturas vegetais. Os resultados permitiram constatar que o Sistema de Informacao Geografica – IDRISI Andes 15.0 foi eficiente na quantificacao das areas com uso da terra e que a analise dos dados mostrou um efetivo avanco das areas de reflorestamentos em detrimento das areas de pastagens, especialmente de 1999, 2003 e 2006, quando as areas de campo foram substituidas pela silvicultura em sua totalidade. Apesar desse avanco, as areas de mata que correspondem as Areas de Preservacao Permanente estao consideravelmente preservadas. Esse resultado vem ao encontro da tendencia de expansao da silvicultura, especialmente apos a instalacao de industrias de celulose na regiao, o que agravou os problemas ambientais oriundos da pratica da monocultura
Assessment of groundwater level fluctuation by using remote sensing and GIS in West Bokaro coalfield, Jharkhand, India

West Bokaro coalfield is mostly affected by active mining industries and faces acute shortage of portable surface water and thus, people are very much dependent on groundwater. The objective of this paper is to assess the parameters which have significant impact on groundwater level fluctuation in West Bokaro coalfield by using remote sensing, GIS, and field-based water level data for two seasons. The objective is achieved by preparation of thematic maps of parameters which have significant impact on groundwater level fluctuation viz. geology, drainage map, soil map, slope map, and elevation map using digital elevation model and Survey of India Toposheet in GIS and analyzed with respect to field-collected groundwater level data to determine the overall water level situation of the study area. Based on results and discussion, it has been found that northwest, southwest, and central region of the study area show higher water level fluctuation (WLF) whereas northeast and southeast region have shown lower WLF. Thus, the study have shown that there is definite relationship of WLF with above-mentioned parameters which are physically related to slope and elevation, lithologically related to geology, texturally related to soil, and hydrologeologically related to drainage pattern.
Mobile Marketing : Usage of Augmented Reality in Tourism Mobil Pazarlama : Turizmde Artırılmış Gerçeklik

The developing number of applications by smart devices provides an expanding diversity of travel-related services. In the most recent decade, marketers and advertisers have developed more innovative practices to attract consumers. One of these new marketing tools is augmented reality (AR) application with the smart technologies, which is considered as an advertising and new marketing communication instrument that increases awareness and helps get information. The use of augmented reality has unfolded across several sectors in recent years. One in every of the areas of wherever this technology will notice a possible use is that the tourism industry. AR is taken into account extremely vital for promoting in several industries; but, within the tourism industry there exist comparatively few researches and articles despite the very fact that tourism may fine benefit from the applications for these practices. Therefore this study aimed to seeks; 1) To identify the potentials of the AR applications within the tourism industry. 2) To identify the AR applications in several tourism businesses at the tourism industry from the attitude of promoting, for instance hotels, restaurants, museums and transportation.
Research topics and trends over the past decade (2001-2013) of Baltic Coleopterology using text mining methods

The Baltic Journal of Coleopterology (BJC) is one of the most important and respected literature sources in the field of coleopterology. In the preface of the first volume of BJC published in 2001 (Barševskis, 2001), Arvîds Barševskis as the editor in chief introduced a particular aim of the Journal: “Papers included in the first volume deal with the latest developments in research into the classification and ecology of beetles in the Baltic region. Special attention is paid to the taxonomy of Palaearctic beetles. Taxonomy will Research topics and trends over the past decade (2001-2013) of Baltic Coleopterology using text mining methods
Visual Information Processing in Wireless Sensor Networks : Technology , Trends , and Applications

Information fusion techniques combine data from multiple sensors, along with additional information and knowledge, to obtain better estimates of the observed scenario than could be achieved by the use of single sensors or information sources alone. According to the JDL fusion process model, high-level information fusion is concerned with the computation of a scene representation in terms of abstract entities such as activities and threats, as well as estimating the relationships among these entities. Recent experiences confirm that context knowledge plays a key role in the new-generation high-level fusion systems, especially in those involving complex scenarios that cause the failure of classical statistical techniques –as it happens in visual sensor networks. In this chapter, we study the architectural and functional issues of applying context information to improve high-level fusion procedures, with a particular focus on visual data applications. The use of formal knowledge representations (e.g. ontologies) is a promising advance in this direction, but there are still some unresolved questions that must be more extensively researched.
WORKING-AGE ADULT MORTALITY AND PRIMARY SCHOOL ATTENDANCE IN RURAL KENYA

The rapid increase in adult mortality due to the AIDS epidemic in sub-Saharan Africa raises great concern about potential intergenerational effects on children. This article estimates the impact of AIDS-related adult mortality on primary school attendance in rural Kenya using a panel of 1,266 households surveyed in 1997, 2000, and 2002. The paper distinguishes between effects on boys’ and girls’ education to understand potential gender differences resulting from adult mortality. We also estimate how adult mortality affects child schooling before as well as after the death occurs. The paper also estimates the importance of households’ initial asset levels in influencing the relationship between adult mortality and child school attendance. We find that all of these distinctions are important when estimating the magnitude of the effects of adult mortality on child school attendance. The probability that girls in initially poor households will remain in school prior to the death of a working age adult in the household drops from roughly 88% to 55%. Boys in relatively poor households are less likely than girls to be in school after an adult death. By contrast, we find no clear effects on girls’ or boys’ education among relatively non-poor households, either before or after the timing of adult mortality in the household. We find a strong correlation between working-age adult mortality in our data and lagged HIV-prevalence rates at nearby sentinel survey sites. The evidence indicates that rising AIDS-related adult mortality in rural Kenya is adversely affecting primary school attendance among the poor. However, these results measure only short-term impacts. Over the longer run, whether school attendance in afflicted household rebounds or deteriorates further is unknown. JEL classification: O12, O15, J10, Q12
Reconfigurable origami-inspired acoustic waveguides

John A. Paulson School of Engineering and Applied Science, Harvard University, Cambridge, MA 02138, USA. Foundation for Fundamental Research on Matter (FOM) Institute AMOLF, Science Park 104, 1098 XG Amsterdam, Netherlands. LUNAM Université, Université du Maine, CNRS, LAUM UMR 6613, Av. O. Messiaen, 72085 Le Mans, France. Kavli Institute, Harvard University, Cambridge, MA 02138, USA. *Corresponding author. Email: bertoldi@seas.harvard. edu
Chapter 7 : Evaluation of the Clerkship : Clinical Teachers and Program

This chapter focuses on evaluation of clinical teachers and programs. We will discuss four interrelated topics: (1) practical issues concerning evaluation; (2) sources of and methods for evaluating clinical teachers; (3) multiple viewpoints for constructing program evaluation data (within a clerkship, within an institution, and external to the institution) and processes for improving education programs; and (4) the importance of conducting research about evaluation. A comprehensive evaluation process is practical, and includes careful evaluations of faculty (and other clinical preceptors/teachers, such as residents), the individual events that occur within a clerkship (such as lectures and conferences), and the overall clerkship experience (such as organization and relevance). These data can be collected and used systematically to continuously improve the quality of a clerkship. Rigorous and/or innovative methods used concurrently will expand the knowledge base about evaluation.
The adoption of cloud-based tools in MOOC settings-advantages and challenges

MOOCs have become a widely used form of online education offering open education. Cloud-based tools are broadly used for business and private purposes, and can also enrich learning experiences and engage learners. In this paper, we pursue the original ideal of c-MOOCs and explore the advantages and issues – on both the teaching and the technological dimensions of using cloud-based tools in a MOOC setting. To this end we have conducted research as part of the MOOC Maker project combining a literature survey and the instrument of questionnaires among the project partners. Our findings reveal advantages, such as enlarging the variety of learning activities and outsourcing of services. The drawbacks include security and privacy issues plus the effort involved in administering several external tools.
Experimental overview of axion searches

Experimental methods to search for the ``invisible axion`` (f{sub a} {much_gt} 250 GeV) are reviewed. The report focuses on the axion-photon coupling, both for laboratory experiments as well as those looking for stellar or cosmologically produced axions. The conclusion is that while the axion-photon mixing in principle would permit laboratory axion searches which are broadband in mass, in fact no such experiment could have the sensitivity to the axion, where m{sub afa} {approx} m{sub {pi}f{pi}}. The only experiments which promise to have any chance to find the axion are the microwave cavity experiments, which presume axions to constitute our galactic halo dark matter. The conversion of axions into a monochromatic microwave signal in a resonant circuit affords the experiment the extraordinary sensitivity required to see the axion, at the expense of being narrow-band in mass, i.e. a tuning experiment. Two such efforts are underway in the world.
Three-layered Case-based Reasoning Cycles for Autonomous Virtual Agent Moving Through 3 D Virtual Environment

previous interaction experience represented in the form of cases. Cases include observations of the virtual environment as well as behavior routines that represent the solution component of cases. The AVA that continuously interacts with a virtual environment must be able to autonomously create new situation cases based on its perception of the local virtual environment in order to select the appropriate actions to achieve the goal state.
UvA-DARE (Digital Academic Repository) New bounds on the classical and quantum communication complexity of some graph properties

We study the communication complexity of a number of graph properties where the edges of the graph G are distributed between Alice and Bob (i.e., each receives some of the edges as input). Our main results are: An Ω( n ) lower bound on the quantum communication complexity of deciding whether an n - vertex graph G is connected, nearly matching the trivial classical upper bound of O ( n log n ) bits of communication. A deterministic upper bound of O ( n 3 / 2 log n ) bits for deciding if a bipartite graph contains a perfect matching, and a quantum lower bound of Ω( n ) for this problem. A Θ( n 2 ) bound for the randomized communication complexity of deciding if a graph has an Eulerian tour, and a Θ( n 3 / 2 ) bound for its quantum communication complexity. The ﬁrst two quantum lower bounds are obtained by exhibiting a reduction from the n -bit Inner Product problem to these graph problems, which solves an open question of Babai, Frankl and Simon [2]. The third quantum lower bound comes from recent results about the quantum communication complexity of composed functions. We also obtain essentially tight bounds for the quantum communication complexity of a few other problems, such as deciding if G is triangle-free, or if G is bipartite, as well as computing the determinant of a distributed matrix.
Comparison of Measured and Modeled Vehicle Emissions for Advance Prediction of Air Quality and NOX Exposure Levels

According to the World Health Organization, air pollution is responsible for the deaths of 4.6 million people each year. Of those 4.6 million victims, 70,000 (1.5%) deaths occur in the United States, 300,000 (6.5%) deaths occur in Europe, and 750,000 (16.3%) deaths occur in China [1]. The World Health Organization submits that air pollution is a significant public health concern attributable to its direct relationship to cardio-pulmonary disease and various forms of terminal cancer. Air pollution increases mortality in the United States and across the globe significantly. Other negative effects attributable to air pollution include climate change, decrease in visibility, and severe ecological damage. To fully understand the role that vehicle emissions play in neighborhood-scale air pollution related health effects, it is necessary to develop an accurate picture of the contribution of these emissions on a rural scale. Using correlations of realtime measured data from the Virginia Tech Flux Lab for Atmospheric Measurement of Emissions (FLAME) and VISSIM rural area traffic flow models, we developed a model capable of predicting neighborhood-scale emissions and consequently air pollution exposure levels to within approximately 4.5%. VISSIM is a microscopic traffic analysis software program capable of modeling traffic emissions within various transportation related scenarios. Utilizing real-time measured emissions (FLAME) and traffic flow data from the Virginia Department of Transportation (VDOT) for an intersection in the Virginia Beach, Virginia area (I-64 and Indian River Road); we calibrated the VISSIM model in order to evaluate its effectiveness not only as a traffic modeling software, but also examine its capabilities for providing reliable traffic related emissions data within urban and industrial settings, and ultimately provide a clear picture of neighborhood air pollution exposure levels. Keywords—Environmental justice, air pollution, ambient air quality, NOx emissions, PM2.5 emissions, socioeconomic air quality factors, adverse air quality exposure
A Study on Primary and Secondary School Students' Misconceptions about Greenhouse Effect (Erzurum Sampling).

The aim of this study is to determine what level of primary and secondary school students’ misconceptions related to greenhouse effect is. Study group consists of totally 280 students attended to totally 8 primary and secondary schools (4 primary school, 4 secondary school) which were determined with convenient sampling method from center of Erzurum. To collect data, a scale was used by utilizing from literature. Scale consisted of totally 22 items, 20 items of which were scored on a three-point Likert scale and 2 items left obtained information on demographic variables. The findings indicated that the students had fewer misconceptions than those specified in the literature related to “events depending on increasing of greenhouse effect”, events getting bigger greenhouse effect” and “events to reduce greenhouse effect”.
Prediction formula for longshore sediment transport rate with M5' algorithm

ABSTRACT Mafi, S. , Yeganeh-Bakhtiary, A. , Kazeminezhad, M.H. , 2013. Prediction formula for longshore sediment transport rate with M5' algorithm One of the most vital tasks for coastal engineers is to calculate the gross longshore sediment transport rate (LSTR) to control the shoreline erosion and beach evolution. In the past decades, several empirical formulas or parametric models have been proposed for predicting the gross LSTR as a function of the breaking wave characteristics, bed materials and beach slope. The main downside with these formulas is that they give wide range of different rate of predictions; consequently their reliability under the changing hydrodynamic conditions is very uncertain. In the present study, an alternative approach based on the Regression Trees (M5') was applied to present a new formula for prediction of LSTR in terms of the longshore sediment transport coefficient (ϵ). Several high-quality data sets were employed, which comprise of the wave parameters, sediment characteristics and the longshore transport rate. Based on the obtained results, the Shields parameter was selected as the main input variable, while the longshore sediment transport coefficient (ϵ) was given as the output parameter. The M5' algorithm was employed for building and evaluating the regression trees, which showed that regression trees can be used successfully for the prediction of LSTR. Finally, the performance of the new M5'-based formula in the prediction of LSTR was compared with the previous formulas. The results indicated that the error statistics of the regression trees were less and it is evidently predicts the LSTR more accurate than the previous mentioned formulas.
Líquidos Iónicos em Materiais Semicondutores Orgânicos

This work presents structural and morphological studies of several/diverse organic semiconductors (OSCs) with application in organic light emitting diodes (OLEDs) and organic photovoltaic cells (OPVs), namely metallic complexes derived from 8hidroxyquinoline as well as the morphological study of ionic liquids deposited in the form of thin films. Therefore, different metallic complexes derived from 8-hidroxyquinoline were synthesised and purified, complexes which are considered as the most used materials in the production of organic semiconductors devices, especially as core constituents of the electroluminescent and/or electron transport layer of OLEDs. These materials, taking into account the metal and the different substituents existing in the ligands of 8-hidroxyquinoline, feature two different isomeric conformations: meridional (mer-) or facial (-fac-). One of the objectives of this work is the study of the morphological, physical and structural alterations which different metals can cause in the 8-hidroxyquinoline derivatives, using UV-Vis spectroscopy, FTIR and fluorescence, H and C NMR in solution techniques and solid state NMR and mass spectrometry. In the second part of this study, synthesised metallic complex thin films were produced using sublimation/vaporisation under Reduced Pressure (ThinFilmVD). Ionic Liquids were also used, composites with unique properties whose application opens new doors in the design of these electronic devices. In this work was also designed and constructed a device for measuring IV-curves (current versus voltage) and study electric properties of thin films of OSCs and Ils.
Analyzing Perceived Risk of Flu Vaccine on Twitter

To improve influenza vaccination rates, public health officials must understand potential factors in an individual’s decision to get a flu shot. Evidence suggests that an individual's perception of risks related to infection and to vaccination may be influential, though surveys assessing these can be costly and slow. This paper triangulates data from multiple sources to study perceived risk in the context of flu vaccination. We create machine learning classifiers for relevant information on Twitter and statistically analyze discussions of perceived risk. We then compare Twitter discussions to data from a survey on perceived risk, showing how these data sources agree qualitatively. Future work will quantitatively examine these perceptions and potential misperceptions of risk.