Miracle-dz/UniFAR-FTUs huggingface dataset:
Mapping local ontologies: Authentic semantics for learning object evaluation

Currently, there are no feasible subject taxonomies for learning objects. Large and standardized library classification systems do not present subject descriptors matching varying local practices. When searching for learning objects, teachers, instructional designers and students prefer to use subject terms with which they are already familiar. This research describes the form and function of a mapping ontology created to translate between a central subject ontology and a local subject ontology. An implemented case shows how the mapping ontology can allow teachers working with the British Columbia Ministry of Education science curriculum to search and evaluate learning objects catalogued in a repository (eLera) according to a modified form of Dewey Decimal Classification. An information retrieval evaluation showed that subject search with ontology mapping has greater retrieval precision level than simple keyword search. A usability survey showed a strong user preference for subject search with ontology mapping over keyword search.
Google Analytics

Do you know what people do when they visit your website or web app? Or how much the site contributes to your bottom line? Google Analytics keeps track and makes it easy for you to learn precisely what's happening. This hands-on guide shows you how to get the most out of this free and powerful tool -- whether you're new to Google Analytics or have been using it for years. Google Analytics shows you how to track different market segments and analyze conversion rates, and reveals advanced techniques such as marketing-campaign tracking, a valuable feature that most people overlook. And this practical book not only provides complete code samples for web developers, it also explains the concepts behind the code to marketers, managers, and others on your team. Discover exactly how the Google Analytics system works Learn how to configure the system to measure data most relevant to your business goals Track online marketing activities, including cost-per-click ads, email, and internal campaigns Track events -- rather than page views -- on sites with features such as maps, embedded video, and widgets Configure Google Analytics to track enterprise data, including multiple domains Use advanced techniques such as custom variables and CRM integration
Time domain methods for 3D electromagnetic simulation at microwave frequencies

The paper presents an overview of the most popular time domain methods for three-dimensional electromagnetic simulation. Their main characteristics, advantages and drawbacks, as well as alternative formulations are shortly presented. The paper concludes by the presentation of challenging application examples, for which the time-domain methods are not only well suited, but perhaps even the only successfully applicable approach.
Consumer engagement in e-Tourism: Micro-panel data models for the case of Spain

This article analyzes the consumer’s adoption of the Internet for information or shopping of tourist services. Based on the Surveys on Equipment and Use of Information and Communication Technologies in Households, by the National Statistics Institute of Spain, a micro-panel database (2008–2016) is constructed. Using this database and random effects logistic models, the impact of socioeconomic characteristics on the individual’s adoption of the Internet for tourism purposes is estimated. The results indicate that education, family size, digital skills, income, habitat, and employment situation are all significant for explaining the online booking of transportation or accommodation services; however, gender and age are not significant for the case of transportation. Differences between online buyers of tourism services and individuals who only look for information (bookers vs. lookers) are highlighted. Policy recommendations and business strategies are suggested, either to enhance e-Tourism or to increase the conversion rates of lookers into bookers.
Essentials of Psychological Testing

Series Preface. One: Introduction to Psychological Tests and Their Uses. Two: Essential Statistics for Testing. Three: Essentials of Test Score Interpretation. Four: Essentials of Reliability. Five: Essentials of Validity. Six: Essential Test Item Considerations. Seven: Essentials of Test Use. Appendix A: Commercially Available Tests. Appendix B: Addresses of Test Publishers and Distributors. Appendix C: Table of Areas and Ordinates of the Normal Curve. References. Index. Acknowledgments. About the Author.
Almost Triggerless Writeset Extraction in Multiversioned Databases

Efficient writeset extraction and application is crucial in modern database replication protocols since they execute all transaction operations in a delegate replica, collecting and propagating the updates to all replicas when transactions request commitment. In order to ensure portability, such replication protocols can be implemented in a middleware and some of such middleware systems use triggers for managing writeset collection. MADIS is an example of such systems. It has been developed assuming PostgreSQL as its underlying DBMS. Thus, its protocols are usually oriented to enforce snapshot isolation and rely on multiversioned concurrency control. PostgreSQL provides in its catalog information regarding its multiversioned control and such information can be used by the replication middleware for improving its writeset collection and application performance, without requiring any knowledge about DBMS’s internals nor compromising the independence between the middleware and the DBMS layer. This paper describes an almost triggerless fully-user-space approach for writeset extraction in the MADIS middleware database replication system, comparing its performance with a minimal implementation based on triggers.
The Effects of Early Vitamin B12 Replacement Therapy on The Cognitive and Functional Status of Elderly Subjects

3 OZET: Yafll›larda erken vitamin B12 replasman tedavisi- nin kognitif ve fonksiyonel durumlara etkileri Amac: Bu cal›flman›n amac› dufluk vitamin B12 duzeyli yafl- l›larda erken vitamin B12 replasman›n›n kognitif ve fonksi- yonel durumlara etkilerini noropsikolojik deerlendirme olcekleri ile incelemektir. Yontem: Bu cal›flmada dufluk vitamin B12 duzeylerine (<400 pg/ml) sahip 116 kognitif bozukluu olan hasta ve 211 kognitif bozukluu olmayan toplam 327 yafll› olgu de- ¤erlendirildi. Olgulara ilk bir ay haftada bir, daha sonra befl ay sureyle de ayda bir 1000 mikrogram intramuskuler siya- nokolbalamin verildi. Tum hastalar bafllang›cta ve 6 ay son- ra mini-mental durum deerlendirmesi, saat cizme testi, gunluk yaflam aktiviteleri ve enstrumantal gunluk yaflam aktiviteleri olcekleri ile deerlendirildi. Bulgular: Alt›nc› aydaki deerlendirmede 120 olgu deiflik nedenlerden dolay› vitamin B12 replasman› almam›flt›. Bu olgular›n tam kan parametreleri stabil kal›rken, vitamin B12 duzeyleri, kognitif ve fonksiyonel olcek skorlar› anlaml› ola- rak kotuleflmiflti (p deerleri < 0.05). Bununla birlikte, vita- min B12 replasman› alm›fl 207 olgunun vitamin B12 duzey- lerinde, mini-mental durum deerlendirmesi ve saat cizme olceklerinin skorlar›nda istatistiksel olarak anlaml› artma (p deerleri < 0.05) ve gunluk yaflam aktivitesi ile enstruman- tal gunluk yaflam aktivitesi olceklerinin skorlar›nda korun- ma gosterdi. Sonuc: Sonuc olarak, geriatrik olgularda vitamin B12 du- zeylerinin yak›n takibi, vitamin B12 duzeyleri 400 pg/ml den daha dufluk olan hastalara erken replasman yap›lmas›, kognitif durumun geliflmesi ve fonksiyonelliin korunmas› ac›s›ndan faydal› gibi gorunmektedir. ABSTRACT: The effects of early vitamin B12 replacement therapy on the cognitive and functional status of elderly subjects Objective: The aim of this study was to examine the effects of early vitamin B12 replacement on cognitive and functional status in elderly subjects with low vitamin B12 levels by using neuropsychological assessment scales. Methods: A total of 327 elderly patients with low vitamin B12 levels (<400 pg/ml) were evaluated. While 116 of 327 patients had cognitive impairment, 211 subjects did not. All patients were prescribed 1000 micrograms cyanocobalamin intramuscularly every week for 1 month, then monthly for 5 months. The mini-mental status examination (MMSE), clock drawing test, activities of daily living, and instrumental activities of daily living scales were applied to all patients at baseline and 6 month.
Searching for improved EFL classroom environments: The role of critical thinking-related tasks

Este libro constituye el resumen de la investigacion de docentes del programa de ingles de la Universidad Externado de Colombia, donde se refieren a la implementacion de unidades didacticas, a fin de construir ambientes de aprendizaje, a fin de innovar en la pedagogia de la ensenanza del ingles como segunda lengua.
Primary cutaneous DLBCL, leg type

Primary cutaneous diffuse large B-cell lymphoma (PCDLBCL) leg type is an aggressive type of CBCL, characterized by skin lesions mainly on the legs and a predominance of diffuse sheets of centroblasts and immunoblasts. Given the poor prognosis, old age at onset, frequent relapses, and extracutaneous spread, PCDLBCL, leg type is a distinct type of cutaneous lyphoma. Here the clinicopathology of extranodal lymphomas will be discussed.
How Yoga Helps to Children to Avoid Stress

ABSTRACT Numerous youngsters experience stress-related physical side effects, for example, weakness, migraine or stomach complaints. This paper manages the physical outcomes of mental anxiety and the likelihood of decreasing anxiety by yoga in youth. The writing on this subject is exhibited. It is presumed that the helpfulness of yoga is hypothetically bolstered. Some exact backing is additionally recorded, yet accessible exploration on this theme is still constrained. The requirement for studies that take social and social components into thought is focused.
Robust Traffic Sign Recognition with Illumination Variation

Traffic sign are essential to road safety. It helps the driverby giving valuable safety and navigation related information. This paper aims to propose an efficient algorithm that will detect as well as recognize traffic signs in a wide range of lighting conditions from the real time video image of road side which is taken by a video camera placed on the top of a car. Though, our algorithm isbased on colour based (red & blue colour) detection of the traffic sign. The use of Improved Hue Luminance Saturation (IHLS) color space and Normalized Hue Segmentation (NHS) make our algorithm more robust with respect to change in illumination. The detection of the traffic sign has been accomplished using various image processing operations like RGB to IHLS conversion, NHS, filtering, labelling connected pixels and ROI extraction. And the traffic sign recognitionis accomplished by pixel-based template matching which is based upon the correlation between the detected traffic sign in the input image and pre-defined standard traffic sign images stored in the data base. This algorithm had been implemented and tested using Matlab. Experimental result shows that the system is robust to changes in the illumination and also able to identify multiple traffic signs placed at any position on road side. The average identification rate of true sign is around 90.27% and false identification is 9.73%.
SPECIFIC PURPOSE LANGUAGE ABILITY PARTICULARIZATION ON BUSINESS ENGLISH

Specific purpose language ability is quite a complex concept which takes into consideration the relationship between language ability in general and specific background knowledge. This constitutes a very important issue as language is learned in communicative contexts and in turn, those contexts should affect the nature of the language acquired. The interaction between language knowledge and specific purpose content knowledge blended with the authenticity of task are the clearest defining features in testing LSP (language for specific purpose). In general purpose language testing, the factor of background knowledge is usually seen as a variable, while in LSP testing the background knowledge is a necessity and an important part of the concept of specific purpose language ability. Business English is part of ESP (English for specific purpose); therefore it also requires specific language ability and a little bit of knowledge in the respective domain. Specific purpose background knowledge related to academic or professional contexts and the ability to perform in a specific purpose language are important parts in LSP testing.
Dextromethorphan for chronic neuropathic pain in palliative care

ABSTRACT Introduction: Chronic neuropathic pain is recognized as a major cause of poor quality of life due to the variable effectiveness of the existing analgesic therapies. In palliative care, chronic pain is often associated with depression, fatigue and other forms of ailments which up-regulate reciprocally. Dextromethorphan, a NMDA receptor antagonist was evaluated in various phenotypes of neuropathic pain but subsequently this was abandoned. Areas covered: Review of the literature on the clinical efficacy of dextromethorphan in neuropathic pain in an attempt to better position such a therapy in palliative care settings. Expert commentary: Dextromethorphan holds a good therapeutic potential in palliative care due to its analgesic, antidepressant and neuroprotective effects but further studies are needed to support this approach.
ASTAXANTHIN MENURUNKAN KADAR VASCULAR ENDOTHELIAL GROWTH FACTOR, TUMOR NECROSIS FACTOR ALPHA, INTERLEUKIN-6, DAN NITRIC OXIDE PADA NONPROLIFERATIVE DIABETIC RETINOPATHY RINGAN: UJI KLINIS TERKENDALI

Diabetic Retinopathy (DR) merupakan komplikasi mikrovaskular pada Diabetes Mellitus (DM) dan penyebab kebutaan paling sering pada usia produktif. Hiperglikemia menyebabkan terjadinya reaksi inflamasi dan stres oksidatif dalam patogenesis DR dipaparkan oleh beberapa peneliti, namun peran antioksidan dalam mengurangi progresifitas DR masih menjadi perdebatan. Penelitian ini bertujuan untuk mengetahui pemberian astaxanthin 8 mg dapat menurunkan kadar Vascular Endothelial Growth Factor (VEGF), Tumor Necrosis Factor-alpha (TNF-a), Interleukin-6 (IL-6) dan Nitric Oxide (NO) pada penderita Non Proliferative Diabetic Retinopathy (NPDR) ringan. Penelitian clinical trial dengan perluasan Randomized, Double Blinded, Placebo-Control, Pre and Posttest Group Design ini dilaksanakan pada bulan Juli 2013 - Desember 2013 di Poliklinik Mata RSUP Sanglah Denpasar Bali. Jumlah sampel yang memenuhi kriteria eligibilitas sebanyak 40 pasien NPDR ringan terbagi menjadi 20 pasien sebagai kelompok perlakuan yang diberikan astaxanthin 8 mg dan 20 pasien NPDR ringan yang diberikan plasebo sebagai kelompok kontrol. Pengambilan sampel darah vena untuk pemeriksaan dilakukan sebelum dan setelah pemberian astaxanthin 8 mg serta plasebo selama 4 minggu. Perbedaan kadar rerata VEGF, TNF-a, IL-6 dan NO dianalisis dengan uji-t jika distribusi data normal dan uji Mann-whitney jika distribusi data tidak normal. Hasil penelitian ini diharapkan dapat memberikan informasi mengenai hubungan VEGF, TNF-a, IL-6, dan NO dalam perkembangan NPDR ringan serta manfaat pemberian astaxanthin dalam perkembangan NPDR ringan. [MEDICINA 2014;45:31-37]
An Empirical Study on the Influencing Factors of Capital Structure of Listed Banks in China

This paper makes a statistical analysis of the financial data of 16 listed banks in China from 2008 to 2017, and makes an empirical study based on these data. It finds that the factors affecting the capital structure of listed banks in China are the size of banks, the ability of capital guarantee, the dividend payment rate, the profitability of banks and the development ability of banks. First, I made a simple linear regression analysis of these factors, and tested the impact of individual factors on the capital structure one by one. Then I made multiple linear regression to find out the variables with strong explanatory power.
Multilingual speech recognition A posterior based approach

Modern automatic speech recognition (ASR) systems are based on parametric statistical models such as hidden Markov models (HMMs), exploiting 1) acoustic-phonetic models, which need to be trained on large amount of acoustic data, 2) a language model, which needs to be trained on large amount of text data and, finally, 3) a lexicon with phonetic transcription which requires linguistic expertise. Developing multilingual ASR systems, or systems that are robust to accents and dialects, is therefore a very challenging task for current state-of-the-art ASR systems. In this thesis, we focus on investigating acoustic-phonetic modeling and lexical diversity across languages and databases, and assume that a language model is available. In our case, this is done in the context of hybrid HMM/MLP ASR, where the HMM emission probabilities are modeled as posterior probabilities of HMM states, conditioned on the acoustics, estimated at the output of a multilayer perceptron (MLP). We build upon a recently proposed acoustic modeling approach, referred to as KL-HMM, where posterior probabilities are directly used as acoustic features, and where the HMM states are directly parametrized by trained posterior probabilities. The set of HMM reference posteriors is then estimated by minimizing the Kullback–Leibler divergence between posterior features extracted from the training data and reference posteriors. The proposed KL-HMM model is extensively developed and adapted to tackle several challenging problems related to multilingual ASR, including lexical diversity, stochastic phone space transformations, accented speech recognition and using multilingual data resources to boost monolingual systems. The efficiency of the proposed approach is demonstrated through theoretical and experimental comparisons with similar approaches such as probabilistic acoustic mapping, linear hidden networks and maximum a posteriori adaptation. Furthermore, KL-HMM is also compared with other posterior feature based ASR techniques such as Tandem and short-term spectral feature based approaches such as subspace Gaussian mixture models. The comparison reveals that the KL-HMM framework is a suitable alternative to conventional acoustic modeling techniques and seems to be preferable in low amount of data as well as phoneme set mismatch scenarios.
The Lack of Omission of Clitics in Greek Children with SLI: An Experimental Study

Object clitics are not uniformly acquired across languages; French-, Italian, Catalan- speaking TD children show late acquisition of clitics, omission and a preference for using full DPs in contrast to Spanish-, Romanian- and Greek-speaking ones. This variation has been explained through the Optional Clitic stage (Wexler 2003), which results from the interaction of a universal developmental constraint, the Unique Checking Constraint (Wexler, 2000), with syntactic properties of particular languages. Given that children with SLI follow the same but delayed path to language acquisition as their TD peers (Rice et al., 1995), they are subject to UCC for a prolonged period (Wexler 2003). The results of our elicitation task, the first experimental test of clitic omission in Greek SLI, show ceiling performance in clitic production and give support to UCC and theories in which the impairment lies in the computational system rather than in a phonological deficit.
Weakly supervised learning for visual recognition

This thesis studies the problem of classification of images, where the goal is to predict if a semantic category is present in the image, based on its visual content. To analyze complex scenes, it is important to learn localized representations. To limit the cost of annotation during training, we have focused on weakly supervised learning approaches. In this thesis, we propose several models that simultaneously classify and localize objects, using only global labels during training. The weak supervision significantly reduces the cost of full annotation, but it makes learning more challenging. The key issue is how to aggregate local scores - e.g. regions - into global score - e.g. image. The main contribution of this thesis is the design of new pooling functions for weakly supervised learning. In particular, we propose a “max + min” pooling function, which unifies many pooling functions. We describe how to use this pooling in the Latent Structured SVM framework as well as in convolutional networks. To solve the optimization problems, we present several solvers, some of which allow to optimize a ranking metric such as Average Precision. We experimentally show the interest of our models with respect to state-of-the-art methods, on ten standard image classification datasets, including the large-scale dataset ImageNet.
Gathering and Using Feedback and Data to Improve Teaching

One of the things that all great teachers share is the willingness to grow and develop as teachers. This growth is likely most effective and efficient if treated as a scholarly process, basing changes on data rather than only on assumptions. This essay will suggest ways to gather information on ways to develop new strategies and practices, as well as ways to document and share teaching innovations.
In-vitro hemolysis and its financial impact using different blood collection systems

Abstract Background: Hemolytic specimens are among the most challenging preanalytical issues in laboratory diagnostics. The type of blood collection tube in use is claimed to influence in vitro hemolysis. We aimed to examine this hypothesis and estimate the respective financial impact, evaluating routine blood samples from the past 4 years. Methods: A total of 47,820 hemolysis index (HI) values from five different time intervals (IV1–IV5) were compared against each other, representing the following tubes: IV1-Sarstedt Monovette; IV2-8 mL/16×100 mm Greiner BioOne (GBO) Vacuette; IV3/IV4-5 mL/16×100 mm GBO Vacuette; IV5-4.5 mL/13×75 mm GBO Vacuette. For estimation of the economic impact, material, personnel and analytical costs were calculated. Results: HI mean values in time interval IV2 were significantly higher than in all other intervals, while mean values amongst all other intervals were comparable. The number of moderately and severely hemolyzed samples increased with incrementing vacuum. Overall comparable costs between intervals IV1 and IV5 were €11,370, €14,045, €12,710, €11,213 and €8138 per 10,000 samples, respectively. Conclusions: Aspiration tubes and low vacuum tubes show comparable hemolysis rates. Increasing vacuum levels are associated with higher hemolysis rates. By decreasing in vitro hemolysis, financial savings up to €5907 per 10,000 samples could be gained.
Object-oriented Bayesian network for complex system risk assessment

In this article, we present a novel approach of modelling risk management process for complex systems. To overcome difficulties of modelling dynamic large-scale systems, the main idea is to split it into various structural homogeneous units. The object-oriented paradigm is used to this end but, unlike previous works, the proposed methodology allows variation in terms of internal parameters throughout the objects. This novel approach based on Bayesian network techniques is referred to as extended object-oriented Bayesian network. The main contribution of this article consists in establishing algorithms and methods on how to build and run such models. This article is an extension of a communication presented at AMEST by mainly developing a more realistic case study along with other improvements.
Simulation of Rule-Based Behavior for a Multimodal Interaction Task with Stochastic Petri Nets

Based on a laboratory study of a multimodal interaction task, an approach for modeling rule-based behavior with stochastic Petri Nets is introduced. A reference task network is developed and is compared to alternative models from the mathematical theory of stochastic processes with the help of dynamic discrete-event simulation. The results of inferential statistics demonstrate the superiority of the reference task network.