Miracle-dz/UniFAR-FTUs huggingface dataset:
Frequency and complexity of de novo structural mutation in autism

Genetic studies of Autism Spectrum Disorder (ASD) have established that de novo duplications and deletions contribute to risk. However, ascertainment of structural variation (SV) has been restricted by the coarse resolution of current approaches. By applying a custom pipeline for SV discovery, genotyping and de novo assembly to genome sequencing of 235 subjects, 71 cases, 26 sibling controls and their parents, we present an atlas of 1.2 million SVs (5,213/genome), comprising 11 different classes. We demonstrate a high diversity of de novo mutations, a majority of which were undetectable by previous methods. In addition, we observe complex mutation clusters where combinations of de novo SVs, nucleotide substitutions and indels occurred as a single event. We estimate a high rate of structural mutation in humans (20%). Genetic risk for ASD is attributable to an elevated frequency of gene-disrupting de novo SVs but not an elevated rate of genome rearrangement.
Improving EFL Learners' Vocabulary Learning via Dictionary Tasks

Developing the autonomy and vocabulary learning of learners specially language learners is one of the important issues in foreign language teaching area. Therefore, this study aims to investigate the effectiveness of different dictionary tasks in EFL learners’ autonomy and vocabulary learning. To this aim, 60 EFL guidance and high school students (13-17 years old) were chosen. They were divided into two groups, experimental group (n=30) and control group (n=30). First, a pretest was given to both groups. Then, the teacher of experimental group gave different tasks for using dictionary in teaching new vocabularies and reviewing last words for 8 sessions. The tasks were chosen based on some features such as novelty, attractiveness, easiness, etc. For example, students were supposed to identify the place of stress or find the synonyms for each word. At the end, a posttest was given to both groups. [T-test was used to analyze data]. The findings of the study revealed a significant relationship between using dictionary tasks and improving EFL learners’ autonomy and permanent vocabulary learning. This study can help the teachers who seek effective ways to teach vocabulary and improve learners’ autonomy, and also teachers who can’t employ new technologies. Moreover, it can be beneficial for learners who search for self-study effective vocabulary learning techniques.
Research of rotary inverted pendulum using fuzzy strategy based on dynamic query table

An inverted pendulum system, which is always used to verify the effect of control strategy and also is one of the more ideal experimental objects in control theory research, is a typical multivariable nonlinear control system. In the paper, a fuzzy control strategy based on a dynamic query table is used to control successfully the rotary inverted pendulum in a stable state, and good control effect is gained.
Gapminder: Unveiling the beauty of statistics for a fact based world view Flash animations bringing enormous amounts of data to life

Gapminder is a non-profit venture promoting sustainable global development and achievement of the United Nations Millennium Development Goals by increased use and understanding of statistics and other information about social, economic and environmental development at local, national and global levels. Gapminder developed the Trendalyzer software, which converts boring numbers into enjoyable, animated and interactive graphics–thus unveiling the beauty of statistical time series. In March 2006, Google acquired Trendalyzer from Gapminder Foundation and the team of developers working for Gapminder joined Google in California in April 2007. Since the Trendalyzer development was taken over by Google, the Gapminder Foundation maintain the same aim and uses Trendalyzer and its resources to produce videos and web services showing major global development trends with animated statistics. The time series are made freely available in the web service called Gapminder World (www.gapminder.org/world/). Gapminder World enables the end users to further explore the underlying statistics in Trendalyzer graphics. This seminar will focus on: • Dissecting Trendalyzer (technically oriented) • Gapminder & Trendalyzer in the future
Lipidomic Modulation in Stressed Albino Rats Is Altered by Yolk and Albumen of Quail (Coturnix japonica) Egg and Poultry Feed.

Cold and immobilization stressors can generate oxidative stress as well as skeletal muscle fatigue. Free radicals cause oxidative degradation of lipids, proteins, nucleic acids, and carbohydrates molecules, thereby compromising cell integrity and function. Quail egg had been described as being very functional biochemically, due to the essential biomolecules it contains in very regulated quantity. This study was aimed for evaluating the dietary effect of the egg on lipid profile parameters on selected tissues. The antilipidemic properties of the egg yolk and albumen and poultry (layers) feed were determined in selected tissues in male albino rats assaulted with cold immobilization stress induced on them at 4°C for 2 hours, while diazepam was used as standard antistress drug. Antilipidemic activities were evaluated by lipid profile modulation (HDL, LDL, TRIG., and T-CHOL.). Quantitative and qualitative analyses of fatty acids profile of the yolk hexane-extract were determined by Gas Chromatography and Mass Spectrophotometry (GC-MS). The ameliorative impacts of diazepam (2.5 and 5.0 mg/mL/kg BW), yolk (5 and 10 mL/kg BW), albumen (5 and 10 mL/kg BW), and the feed (5–10 mg/kg BW) were competitively () specific for each of the tissues. The result of the study suggested yolk and albumen of quail egg and poultry feed as antistress agents as well as lipid modulators.
A bird's eye view of lexical creativity in original vs. translated Slovene fiction

ABSTRACT This paper addresses lexical creativity and applies corpus-based methods to, firstly, identify potentially creative lexemes and, secondly, compare translations into Slovene from different source languages (English, German, French, and Italian) with texts originally written in Slovene. The primary resource for our work is the Spook corpus of translated and original contemporary literary texts in Slovene. We attempt to capture lexical innovations by way of three methods: by looking into the words occurring only once (hapax legomena); by extracting words that occur in only one of the books; and, finally, by comparing the lexical inventories of original English and translated Slovene texts to large reference corpora EnTenTen and Gigafida, respectively. Our quantitative results imply that translators are at least as creative as authors in coining new words or using unexpected word forms, whereby it seems that the English–Slovene language pair contains the largest number of novel lexical items. The analysis of text-specific word lists reveals the special lexical properties of each single book, including specialised terminology, slang, and dialect vocabulary, as well as author- or translator-specific neologisms, borrowings, and coinings. While these findings cannot be generalised in terms of a prevailing translation strategy, results are encouraging because they show that – at least in our corpus – translators know how to be bold in their lexical choices and do not appear to be inferior to authors in their ability to create new words.
Robust and Accurate 3D Motion Estimation under Adverse Conditions

3D vision from two eyes and the capability to detect moving objects and estimate their location and movement speed are the basic evidence for humans and animals to interpret and interact with their environment. Likewise, these cues are important for machines, which, equipped with photographic cameras, perceive the world in a similar manner. In the future, intelligent perceiving systems could become omnipresent in our everyday life. Thus, it is not surprising that both, stereo and motion estimation, were in the focus of computer vision since its early days and recently, because of their importance for several key applications like driver assistance, autonomous driving or scene understanding, have regained attention. Somewhat surprisingly, though, both tasks are traditionally tackled individually by the vision community. This thesis considers the estimation of scene ﬂow , the joint computation of motion and geometry from images of (calibrated) stereo cameras, acquired over at least two time steps. Scene ﬂow models appear to have certain advantages over computing geometry and motion individually. Joint inference should allow to exploit correlations between both entities and for instance better reveal co-occurring motion and geometry discontinuities. The capability to lift the motion representation from the image plane to metric 3D space should also be beneﬁcial, as well as the availability of redundant views of the scene. This work begins with these ideas, and shows that scene ﬂow methods can indeed outperform dedicated stereo and optical methods at their respective task.
Macrobrachium hungi, a new freshwater palaemonid prawn (Decapoda: Caridea: Palaemonidae) from the Tonle Sap Great Lake of Cambodia

A new species of the genus Macrobrachium, M. hungi was collected in theTonleSap Great Lake of Cambodia. The adultmales of this species show a close resemblance to Macrobrachium saigonense Xuân 2006, but they are larger, the rostrumis longer, distally directed upwards or not, with more numerous dorsal and ventral teeth; the tubercles on both sides of thecutting edge on the distal portion of the movable finger are vestigial or crescent shape and less prominent than those of M. saigonense. Notes on economic importance and its habitat which differs from M. saigonense are briefly provided.
Upgradation of PageRank Algorithm based upon Time Spent on Web Page and its Link Structure

Page Ranking holds great importance in any information retrieval system. We are well aware of the fact that the World Wide Web boasts a vast array of pages. It becomes the duty of search engines to provide the most relevant web pages to the user. The PageRank is one approach to rank web pages. However, it lays more stress on link structure of a page. Hence, more parameters need to be accommodated in the already suggested algorithm. This will only make it more efficient. In this paper, a time-based approach is proposed as an extension to PageRank and is defined incrementally.
A Similarity Calculating Approach Simulated from TF-IDF in Collaborative Filtering Recommendation

In the paper, we proposed a new approach to calculate the similarity between users in recommendation systems. The approach simulates the term frequency -- inverse document frequency (TF-IDF) statistical approach which is popular in the area of searching technology. Through the approach, we can calculate the similarity between the target user and his every neighbor without considering the detailed ratings of the common items. After getting the similarities, we can predict the ratings of those unrated items and finally make the recommendation. The approach we proposed in the paper can not only improve the precision and the real-time, but also increase the scalability of the recommendation system.
Convergence of Nanoinformatics Nanobiotechnology and Bioinformatics

Deploying tools in bioinformatics and computational chemistry to standardize, analyse and store nanobiotechnological information has gained rapid prominence after the discovery and application of DNA genomics in therapeutics. The current and traditional principles of nanobiotechnology, together with bioinformatics and analytical computational chemistry have converged into an exciting biomedical field called nanoinformatics. This review looks at this emerging sub-discipline of nanoinformatics and its intersection with nanobiotechnology in medical science
Chemical composition and antibacterial activity of the needls essential oil of Pinus halepensis Mill. from north east of Algeria

The needles essential oils of Pinus halepensis Mill. collected from the Mellah Lake forest located in the National Park of El Kala and from the forest of Zaarouria forest (Souk Ahras), obtained by hydrodistillation. Give a yield of 0,81% and 0,3% respectively. The essential oils of the needles from Melah lake is composed from 16 compounds, which three in majority are: �≤ -caryophyllene (31,89%), the �± -pinene (24,41%) and the myrcene (19,38%). But those of Zaarouria forest from the 16 identified compounds are the�± -pinene (21,01%), the�≤ - caryophyllene (31,14 %) and the�± -terpinolene (9,43 %). These essential oils were tested in vitro against three antibiotic resistant bacteria (Escherichia coli, Staphylococcus aureus and Pseudomonas aeruginosa) often responsible for nosocomial infections have showed antibacterial activity.
The Relationship of English Foreign Language Learner Proficiency and an Entropy Based Measure

It is important for education systems to analyze and provide an appropriate level of feedback to meet the needs of learners. Predicting a learner’s proficiency level can be used to inform learner’s about their progress, and can also aid other parts of the characteristic analysis and feedback process, such as: focused analysis on learner proficiency subgroups. In this paper, we propose a measure based on the frequency of words in the sentences produced by learners during speaking exams to predict the learner’s language proficiency. The proposed measure is compared to the learner’s vocabulary size by correlation analysis. The results suggest that there is a stronger correlation between the proposed measure and the proficiency of the learner than the learner’s vocabulary size.
Combination of Fuzzy C-means and Harmony Search Algorithms for Clustering of Text Document

Document clustering, an important tool for document organization and browsing, has become an active research field in the machine learning community. Fuzzy c-means, an unsupervised clustering algorithm, has been widely used for categorization problems. However, as an optimization algorithm, it easily leads to local optimal clusters. To overcome this shortcoming, this paper introduces a hybrid approach of which combines the fuzzy c-means and harmony search algorithms for clustering of text document. First, we utilize harmony search algorithm to find near global optimal clusters. Then, we combine fuzzy c-means with harmony search algorithm to achieve better clustering. Experimental results on two commonly used data sets demonstrate the effectiveness and utility of this new approach.
Efficient scheduling techniques and systems for grid computing

This dissertation discusses policy-based scheduling techniques on heterogeneous resource for grid computing. The proposed scheduling algorithm has the following features, which can be utilized on the grid computing environment. First, the algorithm supports the resource usage constrained scheduling. A grid consists of the resources that are owned by decentralized institutions. Second, the algorithm performs the optimization-based scheduling. It provides an optimal solution to the grid resource allocation problem. Third, the algorithm assumes that a set of resources is distributed geographically and is heterogeneous in nature. Fourth, the scheduling dynamically adjusts to the grid status. It tracks the current workload of the resources. The performance of the proposed algorithm is evaluated with a set of predefined metrics. In addition to showing the simulation results for the out-performance of the policy-based scheduling, a set of experiments is performed on open science grid (OSG). In this dissertation we discuss a novel framework for policy based scheduling in resource allocation of grid computing. The framework has several features. First, the scheduling strategy can control the request assignment to grid resources by adjusting resource usage accounts or request priorities. Second, efficient resource usage management is achieved by assigning usage quotas to intended users. Third, the scheduling method supports reservation based grid resource allocation. Fourth, the quality of service (QOS) feature allows special privileges to various classes of requests, users, groups, etc. This framework is incorporated as part of the SPHINX scheduling system that is currently under development at the University of Florida. Experimental results are provided to demonstrate the usefulness of the framework. A grid consists of high-end computational, storage, and network resources that, while known a priori, are dynamic with respect to activity and availability. Efficient scheduling of requests to use grid resources must adapt to this dynamic environment while meeting administrative policies. In this dissertation, we describe a framework called SPHINX that can administer grid policies and schedule complex and data intensive scientific applications. We present experimental results for several scheduling strategies that effectively utilize the monitoring and job-tracking information provided by SPHINX. These results demonstrate that SPHINX can effectively schedule work across a large number of distributed clusters that are owned by multiple units in a virtual organization in a fault-tolerant way in spite of the highly dynamic nature of the grid and complex policy issues. The novelty lies in the use of effective monitoring of resources and job execution tracking in making scheduling decisions and fault-tolerance---something which is missing in today's grid environments.
One in the bush Low-density language technology

Language technology is the common name for a spectrum of technologies, tools, algorithms, etc., which enable computers to deal with human language in all its manifestations – speech, writing and sign – as an open-ended system, rather than merely as a closed set of linguistic products. Recently, there has been a good deal of concern about the availability of language technology resources for other languages than English and a few others, and especially for lesser-known languages. This report gives a short introduction to language technology and an overview over language technology resources that have been discussed in connection with lesser-known languages. Proposed methods for the automatic acquisition of linguistic knowledge by computer (so-called machine learning) potentially allow for the rapid creation of language technology resources with minimal human work, which if realized would be of great help in the case of many lesser-known languages. However, current machine learning methods – like language technology in general – have arguably been shaped by the typological and other traits of the most explored language, namely English, which is in many respects an atypical language from a linguistic point of view. Research aiming at the development of methods for the rapid creation of language technology resources for lesser-known languages would be doubly beneficial. We would get a better understanding of the generality or language-specificity of these methods, and at the same time, we might conceivably get the embryo of some language technology resources for some lesser-known languages. * This report constitutes a longer and more detailed version of a book chapter published earlier as Borin 2006, and it existed more or less in the present form in early 2004 (see also Borin 2009). The title comes from an analogy between the proverb “A bird in the hand is worth two in the bush” and the differences between knowledge-rich – based on hand-crafted grammars (a bird in the hand) – and knowledge-poor – based on machine-learning (two birds in the bush) – methods for building language resources. In the case of many – arguably most – of the world’s languages, we do not have a bird in the hand, but it is also doubtful whether we could find more than at most one bird in the bush. The Swedish version of the proverb contrasts a bird in the hand with ten birds in the forest, an even better analogy to the differences between the two approaches, at least at the present state of the art.
A robust undervoltage load shedding scheme against voltage instability

Undervoltage load shedding (UVLS) is an effective measure for restoring voltage stability as a last resort in emergency conditions. In this paper, a UVLS scheme is proposed considering the uncertainties of load and line parameters. The loading margin is considered as the voltage stability index. The proposed scheme determines the optimal load shedding pattern subject to technical constraints. The info-gap decision theory uncertainty modeling technique is utilized to find a robust and cost-effective pattern of load shedding. The proposed scheme is formulated as a nonlinear programming problem, which is solved using the sequential quadratic programming technique. The performance of the proposed scheme is verified for the IEEE-14 bus and IEEE-118 bus test systems.
Fungi associated with passalid beetles and their mites

Among the many parasitic or commensal- istic symbionts of Passalidae (Coleoptera) are fungi that live within their hindgut and on the exoskeleton of the beetles and their parasitic mites. Three Eccrin- ales (Trichomycetes) include Leidyomyces attenuatus (= Enterobryus attenuatus), Passalomyces compressus (= Enterobryus compressus), and an unnamed species originally described by Heymons and Heymons in 1934. Leidyomyces attenuatus has been found in pop- ulations throughout the range of Passalidae in the Americas, whereas P compressus and the Heymons' eccrinid are reported only from Neotropical passalid beetles. A new genus and species of branched fungus, Enteroramus dimorphus, lives in the hindgut of the common eastern North American passalid, Odonto- taenius disjunctus. In axenic culture the fungus con- verts to a yeastlike growth form. Externally, both the beetles and their mites carry parasitic thalli of many species of Rickia (Ascomycota: Laboulbeniales). The probability that many fungi from Passalidae remain unreported worldwide is discussed.
Foreign Exchange Market

This indirect cross rate is less than the direct quote so there is an arbitrage opportunity to exploit between the three currencies. In this situation, buying the CAD with MXN by first buying USD with MXN and then buying the CAD with the USD and finally selling that amount of CAD directly for MXN would make a profit because we would be buying the CAD at a low MXN price and selling the CAD at a high MXN price.
Aspects of Sperm Metabolism in the Spermatheca of the Brachyuran Crab Metopograpsus Messor (Forskal)

ABSTRACT Mated female brachyuran crabs store the spermatozoa within the spermatheca, pending internal fertilization. The present study reports on the metabolism of sperm stored in the spermatheca of the estuarine crab Metopograpsus messor. Results of enzyme assays indicate that lactate oxidation to pyruvate predominates over pyruvate reduction to lactate within the spermatheca of M. messor. The spermathecal contents also show considerable succinate dehydrogenase (SDH) activity which is greater than the fumarate reductase (FR) activity, the SDH/FR ratio being 5.7:1. Furthermore, manometric assays demonstrate that the sperm stored within the spermathecal lumen consume ambient oxygen, the rate of oxygen uptake per 1.000 x 108 spermatozoa being 0.108 ± 0.004 µl X h-1. The prevalence of lactate oxidation over pyruvate reduction and the occurrence of a high SDH/FR ratio within the spermatheca, together with the spermatozoal oxygen uptake, strongly suggest that, while stored in the spermatheca, the spermatozoa of M. messor rely on aerobic metabolism. The occurrence of high lipid and the relative sparseness in carbohydrates (with near absence of free glucose) within the spermathecal lumen further reinforce our suggestion for aerobic respiration by the sperm stored in the female reproductive tract.