Miracle-dz/UniFAR-FTUs huggingface dataset:
Validación del Cuestionario de Significado de la Vida MLQ en población adulta y adolescente argentina

El objetivo de este estudio es evaluar las propiedades psicometricas del Cuestionario de Significado en la Vida (MLQ) en una muestra adulta y una adolescente de la ciudad de Buenos Aires, Argentina. La muestra se conformo por 707 adultos y 180 adolescentes de ambos sexos. Se utilizaron el Cuestionario MLQ, la escala de Satisfaccion con la Vida (SWLS), el Indice de Bienestar Personal de Cummins (PWI) y la Escala de tres rutas de acceso al bienestar (ERBIEN). El analisis factorial exploratorio permitio extraer dos factores – Presencia y Busqueda- que explicaban el 56.55% de la varianza en la muestra de adultos y el 47.11% en la de adolescentes. El analisis factorial confirmatorio mostro un mejor ajuste al modelo si se eliminaba el item 9. La consistencia interna para las subescalas fue α ≥ . 80. La Presencia de significado se relaciono con mayor satisfaccion con la vida y con la vida eudaemonica.
GERC: Tree Based Clustering for Gene Expression Data

Measurement of gene expression using DNA micro arrays have revolutionized biological and medical research. This paper presents a divisive clustering algorithm that produces a tree of genes called GERC tree along with the generated clusters. Unlike a dendrogram, a GERC tree is a general tree and it is an ample resource for biological information about the genes in a data set. The leaves of the tree represent the desired clusters. The clustering method was tested with several real-life data sets and the proposed method has been found satisfactory.
From Top to Down Hierarchical Classification Process with the Candidates' Strategy

While there is a large amount of text data on the Internet, people need to organize the text data with experienced category. However, the flat structure of categories could not satisfy the modern information management. To solve this problem, we propose a hierarchical classification process with a strategy, called candidates, used to relieve the blocking problems. Besides, we establish the description of categories as the supervised information to the hierarchical text classification. Extensive experiments on public corpora demonstrate our models effectiveness and efficiency.
The fitness effect of mutations across environments: Fisher's geometrical model with multiple optima

When are mutations beneficial in one environment and deleterious in another? More generally, what is the relationship between mutation effects across environments? These questions are crucial to predict adaptation in heterogeneous conditions in a broad sense. Empirical evidence documents various patterns of fitness effects across environments but we still lack a framework to analyze these multivariate data. In this article, we extend Fisher's geometrical model to multiple environments determining distinct peaks. We derive the fitness distribution, in one environment, among mutants with a given fitness in another and the bivariate distribution of random mutants’ fitnesses across two or more environments. The geometry of the phenotype‐fitness landscape is naturally interpreted in terms of fitness trade‐offs between environments. These results may be used to fit/predict empirical distributions or to predict the pattern of adaptation across heterogeneous conditions. As an example, we derive the genomic rate of substitution and of adaptation in a metapopulation divided into two distinct habitats in a high migration regime and show that they depend critically on the geometry of the phenotype‐fitness landscape.
Voices of strong democracy : concepts and models for service-learning in communication studies

PREFACE: Service-Learning in Communication: A Natural Partnership by James L. Applegate and Sherwyn P. Morreale (National Communication Association) * PART ONE: PROGRAM-LEVEL OVERVIEWS * Service-Learning in Communication: Why? by Paul A. Soukup * Integrating Communication Theory and Practice in Community Settings: Approaches, Opportunities, and Ongoing Challenges by Christine M. Bachen * Integrating Service-Learning Into the Communication Curriculum at a Research University: From Institutionalization to Assessment of Effectiveness by Mark J. Bergstrom and Connie Bullis * Service-Learning at the Graduate Level by Sally Perkins, Virginia Kidd, and Gerri Smith * Faculty Incentives: A Necessity for Integrating Service-Learning by Kathleen H. Stacey and Chris Wood Foreman * PART TWO: SERVICE-LEARNING IN COMMUNICATION COURSES * Learning Language, Culture, and Community by Peggy Hashemipour * Service-Learning and Interpersonal Communication: Connecting Students With the Community by Tasha Souza * Small Group Problem Solving as Academic Service-Learning by Paul Yelsma * Performance of Oral Traditions: A Service-Learning Approach by Kristin Bervig Valentine * Advocacy in Service of Others: Service-Learning in Argumentation Courses by Mark A. Pollock * Giving Students "All of the Above:" Combining Service-Learning With the Public Speaking Course by Sara Weintraub * Communication and Social Change: Applied Communication Theory in Service-Learning by Robbin D. Crabtree * Community Media as a Pedagogical Laboratory by Virginia Keller, Jeff Harder, and Craig Kois * Read All About It! Using Civic Journalism as a Service-Learning Strategy by Eleanor Novek * The Communication Campaigns Course as a Model for Incorporating Service-Learning into the Curriculum by Katherine N. Kinnick * Public Relations and Public Service: Integrating Service-Learning Into the Public Relations Seminar by Lynne A. Texter and Michael F. Smith * PART THREE: REFLECTIONS AND RESOURCES * Critical Reflection and Social Power in Service-Learning by Angela Trethewey * Communication and Service-Learning: Bridging the Gap by April R. Kendall * ANNOTATED BIBLIOGRAPHY: Service-Learning and Communication by Irene Fisher and Ann Wechsler, updated by April R. Kendall.
Creating enduring change: demonstrating the long-term impact of a faculty development program in palliative care.

BACKGROUND Improved educational and evaluation methods are needed in continuing professional development programs. OBJECTIVE To evaluate the long-term impact of a faculty development program in palliative care education and practice. DESIGN Longitudinal self-report surveys administered from April 2000 to April 2005. PARTICIPANTS Physician and nurse educators from North America and Europe. All program graduates (n = 156) were invited to participate. INTERVENTION Two-week program offered annually (2000 to 2003) with 2 on-site sessions and 6-month distance-learning period. Learner-centered training addressed teaching methods, clinical skill development, and organizational and professional development. MEASURES Self-administered survey items assessing behaviors and attitudes related to palliative care teaching, clinical care, and organizational and professional development at pre-, postprogram, and long-term (6, 12, or 18 months) follow-up. RESULTS Response rates: 96% (n = 149) preprogram, 73% (n = 114) follow-up. Participants reported increases in: time spent in palliative care practice (38% preprogram, 47% follow-up, P < .01); use of learner-centered teaching approaches (sum of 8 approaches used "a lot": preprogram 0.7 +/- 1.1, follow-up 3.1 +/- 2.0, P < .0001); and palliative care topics taught (sum of 11 topics taught "a lot": preprogram 1.6 +/- 2.0, follow-up 4.9 +/- 2.9, P < .0001). Reported clinical practices in psychosocial dimensions of care improved (e.g., assessed psychosocial needs of patient who most recently died: 68% preprogram, 85% follow-up, P = .01). Nearly all (90%) reported launching palliative care initiatives, and attributed their success to program participation. Respondents reported major improvements in confidence, commitment to palliative care, and enthusiasm for teaching. Eighty-two percent reported the experience as "transformative. " CONCLUSIONS This evidence of enduring change provides support for the potential of this educational model to have measurable impact on practices and professional development of physician and nurse educators.
The inner CSF–brain barrier: developmentally controlled access to the brain via intercellular junctions

In the adult the interface between the cerebrospinal fluid and the brain is lined by the ependymal cells, which are joined by gap junctions. These intercellular connections do not provide a diffusional restrain between the two compartments. However, during development this interface, initially consisting of neuroepithelial cells and later radial glial cells, is characterized by “strap” junctions, which limit the exchange of different sized molecules between cerebrospinal fluid and the brain parenchyma. Here we provide a systematic study of permeability properties of this inner cerebrospinal fluid-brain barrier during mouse development from embryonic day, E17 until adult. Results show that at fetal stages exchange across this barrier is restricted to the smallest molecules (286Da) and the diffusional restraint is progressively removed as the brain develops. By postnatal day P20, molecules the size of plasma proteins (70 kDa) diffuse freely. Transcriptomic analysis of junctional proteins present in the cerebrospinal fluid-brain interface showed expression of adherens junctional proteins, actins, cadherins and catenins changing in a development manner consistent with the observed changes in the permeability studies. Gap junction proteins were only identified in the adult as was claudin-11. Immunohistochemistry was used to localize at the cellular level some of the adherens junctional proteins of genes identified from transcriptomic analysis. N-cadherin, β - and α-catenin immunoreactivity was detected outlining the inner CSF-brain interface from E16; most of these markers were not present in the adult ependyma. Claudin-5 was present in the apical-most part of radial glial cells and in endothelial cells in embryos, but only in endothelial cells including plexus endothelial cells in adults. Claudin-11 was only immunopositive in the adult, consistent with results obtained from transcriptomic analysis. These results provide information about physiological, molecular and morphological-related permeability changes occurring at the inner cerebrospinal fluid-brain barrier during brain development.
Quality evaluation of noodles from millet flour blend incorporated composite flour.

A B ST R A C T The present investigation was done to prepare dosa using composite flour containing kodo and barnyard millet flour, whole wheat flour and defatted soy flour of four different combinations and to study the impact of millet flour blend incorporation on characteristics of dosa. The prepared dosa was characterized by analyzing physical properties, nutritional properties, organoleptic characteristics and in vivo glycemic load among ten normal and ten type 2 diabetic subjects. Results indicated that the diameter of dosa was increased with decrease in thickness; the spread ratio was increased significantly at p<0.001; and the weight of batter and dosa were decreased while increasing the incorporation of millet flour blend. The total carbohydrate, starch, and total sugar content were decreased; protein, amylose/amylopectin ratio and crude fiber content were increased significantly while increasing the incorporation of millet flour blend. As the millet flour blend ratio increased above 20%, most of liking and Just About Right (JAR) attributes especially on texture of dosa was decreased marginally. Organoleptically 30% level of incorporation was accepted. The glycemic index and glycemic load were decreased significantly while increasing the incorporation of millet flour blend. Thus the consumption of prepared dosa from composite flour will definitely pose a light to increase the nutritional security and decrease the incidence of double disease burden.
Functional Data Dimensionality Reduction for Machine Learning Master's Thesis

High dimensional data are becoming more and more common in the eld of multivariate data analysis. However, the high dimensionality is problematic due to increasing computational costs and to the curse of dimen-sionality. This thesis concerns dimensionality reduction method that is based on Functional Data Analysis. High dimensional data are projected on a function space where it can be expressed in more compact form. The functions space is dened by a set of Gaussian basis functions that are specially adjusted to suit the problem at hand. The methodology is tested in two applications, chemometrics and time series prediction, using Least-Squares Support Vector Machines for regression. The experiential results indicate that data dimension can be dramatically reduced. And what is more, the prediction accuracy is clearly better or at least equivalent compared to other commonly used methods.
Optimisation of Ensemble Classifiers using Genetic Algorithm

Ensemble learning is a well established machine learning approach that utilises a number of classifiers to aggregate the decision about determining the class label. In its basic form this aggregation is achieved via majority voting. A generic approach, termed EV-Ensemble, for evolving a new ensemble from an existing one is proposed in this paper. This approach is applied to the high performance ensemble technique Random Forests. This study uses a genetic algorithm approach to further enhance the accuracy of Random Forests, based on the EV-Ensemble approach. The new technique is termed as Genetic Algorithm based Random Forests (GARF). Our extensive experimental study has proved that Random Forests performance could be boosted when evolved using the genetic algorithm approach.
Short-term prediction of energy consumption of air conditioners based on weather forecast

In residential houses, air conditioners consume a lot of electrical energy. In order to improve energy efficiency for residential houses, short-term prediction of energy consumption of air conditioners is required. In this paper, we propose the use of our thermal simulation to simulate the change of room temperature based on weather forecast information and predict the energy consumption of an air conditioner in a residential house. In order to calculate solar radiation heat flux, which contributes a lot to the change of room temperature, we utilize a neural network model to predict global solar radiation using training data obtained from weather stations. We also utilize a PID control model to simulate the operation of air conditioners. The accuracy of our simulation is verified by experiments carried out at a real testbed house.
Automatic Trap Detection: A Debugging Mechanism for Abnormal Specification in the IMS Sequencing Controls

Adaptive learning is a challenge trend to distance education. In order to adapt diversified teaching in accordance with individual abilities, educators emphasize on constructing personalized courseware as an Internet-based application. To cope with the drawback of non-supervised blind spot on dynamic navigation of learners, the SCORM 2004 specification adds the concept of sequences into its content delivery. Sequencing rules describe how individual navigation is invoked, what learning objects are delivered during the navigation process, and the potential outputs of the process. However, there is a potential leak of using sequence specification. A sequencing trap results from improper sequence composition, which may block learning activities from a normal navigation. Although the problem can be manually checked with an ordinary SCORM presentation tool, non-systematic debugging can be an unsound solution and time consuming job, since complexity of courseware is usually proportional to the occurrences of traps. We point out the sequencing trap problem and its solution by using a fully automatic mechanism for trap detection. Petri net is used in the computation of sequencing traps. Contribution of this paper can be used as the first technique for automatic sequencing testing in the IMS Simple Sequence Specification and the SCORM 2004.
Protection of human immunodeficiency virus type 2-exposed seronegative macaques from mucosal simian immunodeficiency virus transmission

At present it is not known which form of immunity would be most effective against infection with human immunodeficiency virus (HIV). To evaluate the possible role of cellular immunity, we examined whether four HIV type 2-exposed but seronegative macaques developed cellular immune responses and determined whether these exposed macaques were resistant to mucosal transmission of simian immunodeficiency virus (SIV). Following intrarectal challenge with SIV, 2 monkeys were protected against detectable SIV replication and another showed suppressed viral replication compared to 14 persistently infected controls. The two protected monkeys demonstrated SIV-specific cytotoxic T lymphocytes before as well as after SIV challenge. Here we provide evidence that activation of the cell-mediated arm of the immune system only, without antibody formation, can control SIV replication in macaques. The results imply that vaccines that stimulate a strong and broad cellular immune response could prevent mucosal HIV transmission.
Acoustic biosensors for medical and environmental purposes

The massive use of pesticides, the persistence on the environment and the strong toxicity on animals and humans encourages the use of easy, quick and automated methods for the analysis of samples of environmental interest like water. On the same manner, there is also a need of analytical systems to accurately detect viruses and bacteria in human bodily fluids. Beyond the various analytical systems, immunosensors based on acoustic waves are of interest due to their good sensibility and their reproducibility. The aim of this presentation is to present highly sensitive and selective biosensors using the resonance frequency of quartz crystals for the monitoring of water pollutants and for the medical diagnosis. The whole architecture of the biosensor will be presented in details. Experimental results on different types of toxic compounds (such as pollutants) will be discussed and compared with other detection methods as bioluminescence approach.
Guided wave diffraction tomography within the born approximation

Detection and sizing of corrosion in pipelines and pressure vessels over large, partially accessible areas is of growing interest in the petrochemical industry. Low-frequency guided wave diffraction tomography is a potentially attractive technique to rapidly evaluate the thickness of large sections of partially accessible structures. Finite element simulations of a 64-element circular array on a plate show that when the scattering mechanism of the object to be reconstructed satisfies the Born approximation, the reconstruction of the thickness is accurate. However, the practical implementation is more challenging because the incident field is not known. This paper describes the baseline subtraction approach commonly used in structural health monitoring applications and proposes a new approach in which the measurement of the incident field is not required when using a circular array of transducers. Experimental results demonstrate that ultimately the scattering from the array of transducers is a major source of error in the tomographic reconstruction, but when there is no scattering from the array of transducers the reconstructions are very similar to the finite element simulations.
Smaller Circuits for Arbitrary n-qubit Diagonal Computations

A unitary operator U=\sum u_{j,k} |k> ; 0 <= j <= 2^n-1}. These relative phases are often required in applications. Constructing quantum circuits for diagonal computations using standard techniques requires either O(n^2 2^n) controlled-not gates and one-qubit Bloch sphere rotations or else O (n 2^n) such gates and a work qubit. This work provides a recursive, constructive procedure which inputs the matrix coefficients of U and outputs such a diagram containing 2^{n+1}-3 alternating controlled-not gates and one-qubit z-axis Bloch sphere rotations. Up to a factor of two, these circuits are the smallest possible. Moreover, should the computation U be a tensor of diagonal one-qubit computations of the form R_z(\alpha)=e^{-i \alpha/2}|0> <1|, then a cancellation of controlled-not gates reduces our circuit to that of an n-qubit tensor.
The stress coping skills of undergraduate collegiate aviators

Kirschner, Jennifer Erin. M.S., Purdue University, May 2011. The Stress Coping Skills of Undergraduate Collegiate Aviators. Major Professor: John P. Young. An important human factors research interest area is error reduction. Although pilots placed in highly stressful situations have an increased chance of making errors, they use coping skills to lower their stress level and reduce the likelihood of errors. Typically, coping skills are conceptually separated into three different types: active coping skills which attack and change the situation to make it inherently less stressful, emotionfocused coping skills which use discussion or thinking about the situation in a different way to diminish the negative emotional reaction associated with the stressful situation, and avoidant coping skills which allow one to mentally and/or physically disengage through the use of daydreams, sleep, drugs, and/or alcohol. In this research project, a sample of 49 inexperienced private pilots and 30 experienced multi-engine commercial pilots were surveyed to determine if significant differences existed between their levels of perceived stress and the frequency with which they used different types of coping skills using a one-time, written survey. Variables measured included demographic information, factors of personality, frequency of binge drinking, perceived level of stress, and coping skills usage. The results showed that there was an association between experience level and stress (F = 5.46, p = .022), emotional coping, (r = .200, p = .078) and instrumental
Throughput Optimization of Wireless Mesh Networks with MIMO Links

Multiple input multiple output (MIMO) antennas use sophisticated physical layer techniques to provide significant benefits over conventional antenna technology. Multiple independent data streams can be sent over the MIMO antenna elements. MIMO link can also suppress interference from neighboring links as long as the total useful streams and interfering streams are no greater than the number of receiving antenna elements. For these reasons MIMO antennas are increasingly being considered for use in interference limited wireless mesh networks and have been adopted by WLAN and WIMAX standards. However, the benefits of the MIMO technology in improving network performance are limited unless the higher layer protocols also exploit these capabilities. In this paper we are interested in characterizing the benefits of cross-layer optimizations in interference limited wireless mesh networks with MIMO links. We formulate a framework where data routing at the protocol layer, link scheduling at the MAC layer and stream control at the physical layer can be jointly optimized for throughput maximization in the presence of interference. We then develop an efficient algorithm to solve the resulting throughput optimization problem subject to fairness constraints.
Fishers (Paraty, RJ) and fish manipulation time: a variable associated to the choice for consumption and sale.

aPrograma de Capacitação de Pescadores Artesanais para o Manejo Pesqueiro CAPESCA, Laboratório de Estudos e Pesquisa em Artes e Ciências – LEPAC UNICAMP-Paraty, Centro de Memória Unicamp – CMU, Universidade Estadual de Campinas – UNICAMP, CP 6023, Campinas, SP, Brazil bPrograma de Pós-graduação em Sustentabilidade de Ecossistemas Costeiros e Marinhos – ECOMAR, Universidade Santa Cecília – UNISANTA, Rua Oswaldo Cruz, 277, Santos, SP, Brazil cFisheries and Food Institute – FIFO, www.fisheriesandfood. org dInstitute for Nature Management, National Academy of Sciences of Belarus, 10 Fr. Skaryna Street, Minsk, 220114, Minsk, Belarus eDepartamento de Ecologia, Universidade Federal de Santa Catarina – UFSC, CEP 88040-900, Florianópolis, SC, Brazil *e-mail: alpinab@uol.com. br Received March 12, 2012 – Accepted March 19, 2012 – Distributed November 30, 2012 (With 1 figure)