Miracle-dz/UniFAR-FTUs huggingface dataset:
In Her Own Skin : Mindfulness For Young Women

Based on the risks that body dissatisfaction poses for young women, it is necessary to find effective and sustainable ways in which body satisfaction can be promoted within young women in college. This study explores the changes in key variables associated with body image through mindfulness based practices amongst female students in a residence hall at the University of Colorado Boulder, as well as the feasibility of holding mindfulness classes in college dorms. First year students (N=17) of a college residence hall were recruited and completed baseline and post class measures associated with body image. The differences in outcome measures were not found to be statistically significant. Brief exposure to mindfulness in regards to body image may not be effective in helping first year female students gain significant changes associated with body satisfaction and dissatisfaction. Future studies must look at a larger sample, a longer follow up period, and ways to make use of existing campus spaces to create spaces of sustainable mindfulness practices in order to help promote healthier body perceptions at the university.
Towards Semantic Role Labeling Annotation on Product Reviews in Brazilian Portuguese

Our main focus in this work is tailoring Semantic Role Labeling (SRL) taggers to the scenario of User-Generated Content which represents a challenge for most Natural Language Processing (NLP) tasks. Our object of study is SRL annotation on a Brazilian Portuguese product reviews corpus and the challenges associated with it. We believe that this study will be beneficial for many Natural Language Processing tasks such as question and answering and opinion mining.
IDENTIFICATION OF GS 1 a , GS 1 b AND GS 1 c GENES FROM EICHHORNIA CRASSIPES AND THEIR TRANSCRIPT ANALYSIS IN RESPONSE TO DIFFERENT NITROGEN SOURCES

Eichhornia crassipes was one of the fastest growing plants on earth. It can assimilate nitrogen very efficiently. Glutamine synthetase (GS) is a key enzyme in nitrogen metabolism. Thus research of GS in Eichhornia crassipes could help to explain the mechanism of the ability of E. crassipes to assimilate nitrogen. In this study, we cloned three cytosolic GS cDNAs, GS1a, GS1b and GS1c from the roots of E. crassipes using the RACE method, studied the characterizations with the yeast complementation experiment and analyzed the expressions of GS1a, GS1b and GS1c with qRT-PCT in response to different nitrogen sources in roots and leaves. They were approximately 1400-1500 nucleotide encoding proteins with 354356 amino acids that functionally complemented the mutant yeast ΔGln for growth on ammonium as the sole source of nitrogen. Their relative expression level was markedly up-regulated under the status of nitrate as the only nitrogen source except that of GS1b in roots, which was only up-regulated less than one fold, and GS1a in leaves, which was up-regulated under condition of nitrogen deprivation. All these results suggested that E. crassipes has at least three different cytosolic GS1 genes which have typical conserved domains of GS gene and can functionally complement the mutant yeast that is deprived of the GS gene. All these E. crassipes GS1 genes have different expression patterns in response to different
ARE SHOCKS IN THE TOURISM OF V 4 COUNTRIES PERMANENT ?

We study the persistence properties of seasonally adjusted number of nights spent (NNS) in four Central and Eastern European Countries (CEE): Poland, Czech Republic, Slovakia, and Hungary. If the resulting time series show presence of a unit-root, it has far reaching consequences for tourism policy making, as shocks (policies) can have permanent effects on the tourism. For that purpose we test the seasonally adjusted time-series for the presence of a unit root, through the KPSS stationary test with two breaks using monthly data from 2003 to 2015, and allowing for the presence of deterministic structural breaks. We show, that taking account structural breaks in time-series of tourism activity might be crucial when deciding whether the series is stationary or not. First, our results have suggested, that the first breaks occurred around the financial crisis in 2008 and 2009 (except Slovak Republic). The second break in the series occurred latter, after the economies started to make a fast recovery. Second, when structural breaks were not taken into account, we found that each of the tourism activities appears to be non-stationary.
Query Classification and Expansion in Just . Ask Question Answering System

This thesis focus is the Just.Ask Question Answering system developed at L2F, having as main goals to endow Just.Ask with Query Classification and Query Reformulation/Query Expansion mechanisms in order to, respectively, allow the users to be able to express their information needs in form of queries and to improve the number of retrieved relevant passages. Regarding the first goal, a Support Vector Machines query classifier was trained and tested using features developed for the Query Classification task that take into consideration the main characteristics of queries, obtaining for coarse and fine-grained classification a maximum accuracy of 86% and 80.2%, respectively. Additionally, two approaches are proposed to perform simultaneous Query and Question Classification, with the best approach having a maximum accuracy of 86.6% and 79.7% for coarse and fine-grained classification, respectively.As for the second goal, two query formulators that implement Query Reformulation and Query Expansion mechanisms, respectively, were devised. The first one produces queries that are possible reformulations of the user question and that are obtained by matching the user question with a set of 163 regular expressions. The second one expands the question headword/compound headword and the main verbs that exist in the user question with semantically related terms obtained using Wordnet. When using Bing and Lucene search engines there is an improvement over the baseline retrieval performance of 17 questions (9.2%) and 20 questions (10.9%) over the number of questions with positive passages, respectively.
COMMUNITY PARTICIPATION: UNCOVERING ITS MEANINGS IN CBR

The essential problem for community participation in community based rehabilitation (CBR) is that of defining the exact ‘community’ to be involved and of determining their level and method of involvement. This issue of community identification is common to most spheres of community work, however in the CBR field there are vastly different interests, for example, persons with disabilities, family members, professionals, bureaucrats, who have in turn widely varying needs, such as independence, support, management, resource development, and who then require unique methods of mobilisation, like advocacy, self-help, training, awareness raising). Perhaps the most unique challenge for CBR is in addressing the breadth of these community interests, needs, and mobilisation methods. This chapter aims to assist in identifying the opportunities and constraints which CBR faces with respect to community participation. The critical lessons from abroad can be summarised as follows: Community diversity reminds us of the disparate interests of communities and that expectations of participation can overburden specific segments of the community, especially women. Examination of the process of eliciting community needs highlights several other problems around the determination of the meaning of disability and what counts as needs. We have learned that the definition of disability is culturally constructed, as are its causes and proposed remediation. We also know that disability may not be a community priority, and what is in the best interests of individual disabled persons may not be in the best interests of the community as a whole. Finally, critical examination of community mobilisation strategies reveals that projects grounded in local participation can still be rejected. Rehabilitation may be believed to be a government responsibility, or CBR may be seen as a second-rate service in comparison to professional and institutional services. The authors show that community diversity, needs identification, and mobilisation strategies have represented considerable challenges to the development of community participation in CBR. Those interested in CBR should take note of these experiences and adapt their plans accordingly. It is asserted that knowing the communities in which we live and work is crucial to this task.
Based on Digital Archives for Scientific Workflow System Active Service

This paper describes the architecture of active service model of scientific workflow system. Digital archives technologies are available for all the resources needed to construct services specific group. This paper reviews the introduction and motivation for active service approach, describes the architecture of scientific workflow system, discusses the technologies used in active service, which uses digital archives technology to enable multi-service organizations achieve scientific workflow goals.
HUNTING AND DERAILMENT ANALYSIS OF A PARTLY-FILLED RAILWAY TANK CAR Iman

Railway tank cars, employed in general-purpose transportation of bulk liquids, may encounter partial fill condition due to variations in density of the cargo and wheel load limits. In this situation, the free surface motion of the liquid cargo is known to impose substantial additional forces and moments on the tank container. Such forces and moments may further affect the wheel-rail forces, and thereby the hunting dynamics and derailment potential of the car. In this study, the liquid motion within a partly-filled tank car is analysed using the linear slosh theory. The liquid slosh dynamic model is integrated into a nonlinear model of a vehicle to study the effect of liquid cargo slosh on the hunting dynamics and derailment potential of the tank car. The lateral responses of the 115 degrees-of-freedom multi-body dynamic model of the tank car are evaluated to examine the effects of liquid cargo fill levels on the critical speeds and frequency of wheelset hunting. These results are further compared with equivalent rigid cargo to assess the contribution of liquid cargo motions. The effects of liquid sloshing on the curving performance of the tank car are also examined through the analyses of the derailment potential and unloading of the wheelsets. The results show that while partially filled liquid load and its sloshing may enhance the lateral stability performance of a tank car on a tangent track, it will adversely affect the rollover performance of a vehicle on a curved track.
Detection of QRS Complex in ECG Signal using Wavelet Transform and Thresholding Technique

-The Electrocardiogram is a powerful tool that provides the remarkable information about the cardiac disorders. QRS complex detection in ECG signal is very important for finding some cardiac disease. QRS complex has been detected by wavelet transform. Symlet-4 wavelet has been used for QRS detection. In the wavelet transform, thresholding also an important parameter for obtaining the higher output. The Rigersure type threshold gives highest sensitivity of 99.34%. The analysis has been done on ECG data files of the MIT-BIH Arrhythmia Database. Index termsecg, QRS complex detection, discrete wavelet transform, Multi resolution analysis, threshold. __________________________________________________*****_________________________________________________
Partial Privatization , Managerial Incentives and Bank Competition

We consider a mixed duopoly where a state-owned bank competes with a private bank in collecting deposits. Prior to this competition the government decides on optimal privatization of the public bank, and the private bank decides on managerial incentives. The government is a welfare maximizer, but also profit oriented. Because of profit orientation the government internalizes the strategic effects of public ownership on the private bank’s profit, and implements privatization to a certain extent. But the private bank’s managerial incentives induce even greater privatization and transfer of profit from the public to the private bank with unchanged social welfare.
ASSESSMENT OF GERBERA PLANTS GENETICALLY MODIFIED WITH TSWV NUCLEOCAPSID GENE

Plants of four gerbera cultivars transformed with nucleocapsid N-gene of Tomato Spotted Wilt Virus were evaluated in terms of resistance to the virus and several phenotypical traits. Sixteen out of 33 transformed genotypes (with transgenic plant status confirmed by PCR with specific primers for N and npt II genes) survived when transferred to the greenhouse. After mechanical inoculation with TSWV, typical symptoms of viral infection appeared in the control plants after two to four weeks. No disease symptoms were observed at that time in any of the infected transgenic plants. Assessment of other phenotypical traits of gerbera confirmed lack of significant differences between transformed and control plants. Except for one genotype of ‘Prince’ and one genotype of ‘Zuzanna’, all of the transformed plants can be potentially good breeding material.
Quality by Exploiting Article – Editor Networks

We consider the problem of automatically assessing Wikipedia article quality. We develop several models to rank articles by using the editing relations between articles and editors. First, we create a basic model by modeling the article-editor network. Then we design measures of an editor’s contribution and build weighted models that improve the ranking performance. Finally, we use a combination of featured article information and the weighted models to obtain the best performance. We find that using manual evaluation to assist automatic evaluation is a viable solution for the article quality assessment task on Wikipedia.
AntesCollider: Control and Signal Processing in the Same Score

We present AntesCollider, an environment harnessing Antescofo, a score following system extended with a real-time synchronous programming language, and SuperCol-lider, a client-server programming environment for real-time audio synthesis. The environment enables the definition of a centralized executable score specifying complex timelines driving sophisticated controls, audio synthesis and their synchronization with a performer. The audio processing information is distributed to the SuperCollider servers using the OSC protocol under the supervision of the Antescofo scheduler taking care of the synchronizations with external events. Audio processing can be distributed over several SuperCollider servers to maximize CPU efficiency. We showcase the system on a new piece, Curvatura II for live electroacoustics.
SUGI 28 Advanced Tutorials

Searching is one of the most, if not the most, important and frequently performed data processing operations. The SAS® System supports this assertion with a roster of built-in searching techniques, such as merges, joins, formats, indexes, and specific operators and functions. In the light of such diversity, it is all the more surprising that until recently, no built-in SAS methods based on fastest searching schemes – memory-resident hash-based algorithms had been available. This gap was partially covered by SAS users crazy enough to hand-code their own hash-based algorithms in the SAS Language. However, Version 9 changes everything. Not only has it made direct addressing available in the form of a built-in hash table (associative array) which can be searched much faster than any other SAS lookup structure; it has also introduced the first dynamic, memory-resident Data step structure. In this paper, we will try to get a taste of this new exciting SAS tool and envision cool things it will allow us to do. We will also see that it does not make handcoded hashing methods instantly obsolete and compare the I (hand-coded) and II (built-in) SAS hashing generations from the standpoints of functionality, programming and computer efficiency.
Benefit assessment in Germany : requirements & challenges presented for 6 topics German Translation : Nutzenbewertung in Deutschland : Anforderungen und Herausforderungen beispielhaft für 6 Themen

In dieser Publikation geht es um die zweifache Bedeutung der Formulierung des Labels auf das Ergebnis der Nutzenbewertung. Die Formulierung zum einen für die Bestimmung der ZVT relevant und zum anderen die Berücksichtigung der verfügbaren Studien. Idealerweise korrespondiert die Formulierung des Labels gänzlich mit den Einschlusskriterien der pivotalen Studien. Patienten, die von der Studie ausgeschlossen wurden, sind ebenso bei der Formulierung des Labels ausgeschlossen. Topic The wording of the label has a twofold relevance on the outcome of the benefit assessment: 1. Determination of the zweckmäßige Vergleichstherapie (ZVT, appropriate comparative therapy) 2. Consideration of available studies The G-BA determines the ZVT based on the criteria in its code of procedure (s. next paragraph). As a result of the application of these criteria the entire population according label is often divided into different subpopulations. In this case the pharmaceutical manufacturer needs to prove an added benefit of its drug compared to the ZVT in each subpopulation. The G-BA usually determines different ZVTs for each subpopulation. There are two examples of products in which the population is divided and the G-BA acknowledged no added benefit in one subpopulation because of missing clinical data: • Axitinib (Inlyta®, Pfizer Pharma GmbH, RCC) Axitinib is indicated for the treatment of adult patients with advanced renal cell carcinoma (RCC) after failure of prior treatment with Sunitinib or a cytokine in the European Union. In 2012 the GBA determined the ZVT for Axitinib considering two subpopulations: patients pretreated with Sunitinib (ZVT: Everolimus) and patients pretreated with a Cytokine (ZVT: Sorafinib). Because of the results of the pivotal trial which compares Axitinib and Sorafenib the G-BA conclusively decided on an added benefit in this subpopulation. However the G-BA didn’t accept the unadjusted indirect comparison of Axitinib and Everolimus and conclusively decided on no added benefit in this subpopulation [1]. • Crizotinib (Xalkori®, Pfizer Pharma GmbH, pretreated ALK+ NSCLC) Crizotinib is indicated for the treatment of adults with previously treated anaplastic lymphoma kinase (ALK)-positive advanced non-small cell lung cancer (NSCLC) in Europe. The G-BA determined the ZVT for Crizotinib considering two subpopulations: patients with ECOG-PS 0, 1 where applicable 2 (ZVT: Docetaxel or Pemetrexed) and patients with ECOG PS 4, 3 where applicable 2 (ZVT: Best supportive care (BSC)). Only patients with ECOG PS 0-2 were included in the clinical study. Therefore no data was available for patients with ECOG PS 3 or 4. This was the reason why the G-BA conclusively decided on no added benefit in this subpopulation [2, 3].
A Connectionist Approach to Learn Association between Sentences and Behavioral Patterns of a Robot

We present a novel connectionist model for acquiring the semantics of a simple language through the behavioral experiences of a real robot. We focus on the “compositionality” of semantics, a fundamental characteristic of human language, which is the ability to understand the meaning of a sentence as a combination of the meanings of words. We also pay much attention to the “embodiment” of a robot, which means that the robot should acquire semantics which matches its body, or sensory-motor system. The essential claim is that an embodied compositional semantic representation can be selforganized from generalized correspondences between sentences and behavioral patterns. This claim is examined and confirmed through simple experiments in which a robot generates corresponding behaviors from unlearned sentences by analogy with the correspondences between learned sentences and behaviors.
UpKit: An Open-Source, Portable, and Lightweight Update Framework for Constrained IoT Devices

Updating the software running on constrained IoT devices such as low-power sensors and actuators in a secure and efficient way is an open problem. The limited computational, memory, and storage capabilities of these devices, together with their small energy budget, indeed, restrict the number of features that can be embedded into an update system and make it also difficult to build a generic and compact solution. As a result, existing update systems for constrained IoT devices are often not portable, do not perform a proper verification of the downloaded firmware, or focus only on a single phase of the update process, which exposes them to security threats and calls for new solutions. In this paper we present UpKit, a portable and lightweight software update framework for constrained IoT devices encompassing all phases of the update process: from the generation and signature of a new firmware, to the transmission of the latter to an IoT device, its verification and installation. UpKit employs a novel update architecture that is agnostic to how new firmware images are distributed and that introduces a double-signature process to guarantee the freshness of a new firmware. This, together with an additional verification step, allows also to reject invalid software at an early stage and to prevent an unnecessary reboot of the device. We keep UpKit's design modular and provide an open-source implementation for several operating systems, hardware platforms, as well as cryptographic libraries. We further include support for differential updates and flexible memory slots, which allows to significantly increase the efficiency of the update process. An experimental evaluation shows that UpKit can be used to efficiently update highly-constrained IoT devices, and that it has a comparable memory footprint to state-of-the-art solutions, despite the introduction of several features.
Fitting N-mixture models with random observer effects in BUGS and ADMB

Abundance is the central state variable in much of ecology and its applications, such as wildlife management and conservation biology. Typically, abundance must be estimated owing to imperfect detection of the animals in the wild: some individuals will be overlooked and thus, counts of animals are rarely equal to true abundance. Instead, abundance and counts are linked by detection probability, which in this context is the probability that an individual present appears in a count. A vast array of sampling designs and models have been developed over the last 50 years to estimate abundance, e.g. Buckland et al. (2001), Borchers et al. (2002), Williams et al. (2002) and Royle and Dorazio (2008). Most protocols to estimate abundance require that individuals can be individually identified, a condition which often requires capturing and marking of animals. This is costly and therefore the N-mixture, or binomial mixture, model of Royle (2004) is an appealing alternative: this model yields estimates of abundance from spatially and temporally replicated counts of unmarked animals alone. Typical applications of the Nmix model require the assumption of some effects as random, for instance, to account for intrinsic differences in the ability of field ornithologists to detect and identify birds.