Miracle-dz/UniFAR-FTUs huggingface dataset:
SenseClusters: finding clusters that represent word senses

SenseClusters is a freely available word sense discrimination system that takes a purely unsu-pervised clustering approach. It uses no knowledge other than what is available in a raw unstructured corpus, and clusters instances of a given target word based only on their mutual contextual similarities. It is a complete system that provides support for feature selection from large corpora, several different context representation schemes, various clustering algorithms, and evaluation of the discovered clusters.
Quantifying recent acceleration in sea level unrelated to internal climate variability

Sea level observations suggest that the rate of sea level rise has accelerated during the last 20 years. However, the presence of considerable decadal‐scale variability, especially on a regional scale, makes it difficult to assess whether the observed changes are due to natural or anthropogenic causes. Here we use a regression model with atmospheric pressure, wind, and climate indices as independent variables to quantify the contribution of internal climate variability to the sea level at nine tide gauges from around the world for the period 1920–2011. Removing this contribution reveals a statistically significant acceleration (0.022 ± 0.015 mm/yr2) between 1952 and 2011, which is unique over the whole period. Furthermore, we have found that the acceleration is increasing over time. This acceleration appears to be the result of increasing greenhouse gas concentrations, along with changes in volcanic forcing and tropospheric aerosol loading.
Generalizing Needham-Schroeder-Lowe for multi-party authentication

We propose a protocol for multi-party authentication for any number of parties, which generalizes the well-known Needham-Schroeder-Lowe protocol. We show that the protocol satisfies authentication of the communicating parties (by proving injective synchronisation) and secrecy of the generated challenges. For p parties, the protocol consists of 2p − 1 messages, which we show to be the minimal number of messages required to achieve the desired security properties in the presence of a Dolev-Yao style intruder. The underlying communication structure of the generalized protocol can serve as the backbone of a range of authentication protocols.
Evaluation of mid- and long-term impact of COVID-19 on male fertility through evaluating semen parameters

Background The coronavirus disease 2019 (COVID-19) has spread worldwide with alarming levels of spread and severity. The distribution of angiotensin converting enzyme 2 (ACE2) and transmembrane protease serine 2 (TMPRSS2) from bioinformatics evidence, the autopsy report for COVID-19 and the published study on sperm quality indicated COVID-19 could have a negative impact on male fertility. However, whether the negative impact of COVID-19 on male fertility is persistent remains unknown, which requires long-term follow-up investigation. Methods Semen samples were collected from 36 male COVID-19 patients with a median recovery time of 177.5 days and 45 control subjects. Then, analysis of sperm quality and alterations of total sperm number with recovery time were performed. Results There was no significant difference in semen parameters between male recovered patients and control subjects. And the comparisons of semen parameters between first follow-up and second follow-up revealed no significant difference. In addition, we explored the alterations of sperm count with recovery time. It showed that the group with recovery time of ≥120 and <150 days had a significantly lower total sperm number than controls while the other two groups with recovery time of ≥150 days displayed no significance with controls, and total sperm number showed a significant decline after a recovery time of 90 days and an improving trend after a recovery time of about 150 days. Conclusions The sperm quality of COVID-19 recovered patients improved after a recovery time of nearly half a year, while the total sperm number showed an improvement after a recovery time of about 150 days. COVID-19 patients should pay close attention to the quality of semen, and might be considered to be given medical interventions if necessary within about two months after recovery, in order to improve the fertility of male patients as soon as possible.
Effect of Inhomogeneity and Unsteadiness on the Stability of High-Speed Shear Flows

In hypersonic flows, turbulence critically influences mass and momentum transport, mixing, heat transfer and acoustic noise generation. In contrast to incompressible flow, in high speed flows pressure is a true thermodynamic variable and flow-thermodynamic s interactions render the investigations extremely challenging. Extensive investigations have been performed on steady, uniform or homogeneous shear flows in both the incompressible and compressible regimes leading to important insight on the flow physics. However, most flows of practical importance exhibit unsteadiness and strong inhomogeneity. The goal of the studies presented is to understand these non-ideal effects in high-speed flows. This defense will provide a brief overview of steady compressible homogeneous investigations then present the effects of inhomogeneity and unsteadiness using both direct numerical simulations (DNS) and rapid distortion theory (RDT). The effect of unsteadiness will be investigated using a periodic homogenous shear flow. The effect of inhomogeneity will be investigated in a steady Kolmogorov flow. Rebecca Bertsch is a PhD candidate in the Aerospace Engineering Department working under the supervision of Professor Girimaji. She received her B. A. in Physics from Colorado College in May 2007 and her M.S. in Aerospace Engineering from Texas A & M University in August 2010. She began her graduate studies in aerospace engineering at Texas A&M University in August 2007. Upon completion of her doctoral degree she plans to pursue a postdoctoral research position at a national lab focusing on the area of compressible turbulence modeling. She can be contacted through Dr. Girimaji at Texas A&M University, Department of Aerospace, H.R. Bright Building, Rm. 701, Ross Street TAMU 3141, College Station TX 77843-3141.
Modeling Norms of Turn-Taking in Multi-Party Conversation

This facsicle comprises the first errata (03 November 2010) to K. LASKOWSKI (2010), " Modeling norms of turn-taking in multi-party conversation " , in SCOPE The facsicle updates the numerical results in Tables 1 and 2, found on page 8 of the article (page 1006 as published by the ACL). The claim of a relative reduction in perplexity of 75% for all instants t, and of 78% for all those instants for which q t−1 = q t , is modified to 50% and 54%, respectively. These numbers appeared on pages 1, 8, and 9 (pages 999, 1006, and 1007 as published by the ACL). Changes are identified with gray changebars and red lettering in the modified version of the article, which begins on page 3 of this facsicle. Code replicating all numbers found in the corrected Tables 1 and 2 in this facsicle is available at the time of this writing at CORRECTIONS This facsicle describes 4 corrections, one of which is major. Correction 1 (minor): Table 1 The original article fails to mention that the models described by these results were smoothed by allocating a proportion of probability mass for events not seen during training. Smoothing was performed identically for all models; the held-out proportion of probability mass was 1 × 10 −5 ; it was distributed uniformly over all unseen alternatives, separately for each conditioning context. Sharing the held-out proportion of probability mass had been incorrectly implemented (it was done prior to ensuring that transition probabilities summed to unity). Correcting this error leads to updates in the mismatched conditions (B+A and D+C) for direct compositional models, and in all conditions for extended degree-of-overlap models. The corrections are identified in red lettering; their absolute values are no larger than 0.05%rel for direct compositional models for " all " instants, no larger than 0.7%rel for direct compositional models for " sub " instants, and no larger than 0.09%rel for extended degree-of-overlap models for both " all " and " sub " instants. These variations are negligible, and do not reverse the conclusions of the article as published. The new results can be replicated using the MATLAB TM script ACL2010 Table1.m (for direct com-positional models) and the Bourne Again shell script ACL2010 Table1.sh (for extended degree-of-overlap models). Correction 2 (major): Table 2 Extended degree-of-overlap model perplexities for unseen conversations are underestimated in the original article. The error involves the constant …
seismological Data Warehousing and Mining : A survey

AbstrAct Earthquake data composes an ever increasing collection of earth science information for post-processing analysis. Earth scientists, local or national administration officers and so forth, are working with these data collections for scientific or planning purposes. In this article, we discuss the architecture of a so-called seismic data management and mining system (SDMMS) for quick and easy data collection, processing, and visualization. The SDMMS architecture includes, among others, a seismological database for efficient and effective querying and a seismological data warehouse for OLAP analysis and data mining. We provide template schemes for these two components as well as examples of their functionality towards the support of decision making. We also provide a comparative survey of existing operational or prototype SDMMS.
Relevance and Paraconsistency - A New Approach, Part II: The Formal Systems

In part I of this paper we introduced what we called «relevance structures». In the present part we describe the logic RMI which corresponds to these structures, proving it to be sound and strongly complete relative to them. The language of RMI is similar to that of the systems of Anderson and Belnap, but unlike them it is purely intensional. We show that the expressive power of RMI is nevertheless very strong and sufficient for all our needs. We investigate the main fragments of RMI, as well as its most important extensions
Aalborg Universitet Event-triggered hybrid control based on multi-Agent systems for

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Collocational Translation Memory Extraction Based on Statistical and Linguistic Information

In this paper, we propose a new method for extracting bilingual collocations from a parallel corpus to provide phrasal translation memories. The method integrates statistical and linguistic information to achieve effective extraction of bilingual collocations. The linguistic information includes parts of speech, chunks, and clauses. The method involves first obtaining an extended list of English collocations from a very large monolingual corpus, then identifying the collocations in a parallel corpus, and finally extracting translation equivalents of the collocations based on word alignment information. Experimental results indicate that phrasal translation memories can be effectively used for computer assisted language learning (CALL) and computer assisted translation (CAT).
Hierarchical community detection by recursive bi-partitioning

The problem of community detection in networks is usually formulated as finding a single partition of the network into some “correct” number of communities. We argue that it is more interpretable and in some regimes more accurate to construct a hierarchical tree of communities instead. This can be done with a simple top-down recursive bi-partitioning algorithm, starting with a single community and separating the nodes into two communities by spectral clustering repeatedly, until a stopping rule suggests there are no further communities. Such an algorithm is model-free, extremely fast, and requires no tuning other than selecting a stopping rule. We show that there are regimes where it outperforms K-way spectral clustering, and propose a natural model for analyzing the algorithm’s theoretical performance, the binary tree stochastic block model. Under this model, we prove that the algorithm correctly recovers the entire community tree under relatively mild assumptions. We also apply the algorithm to a dataset of statistics papers to construct a hierarchical tree of statistical research communities.
CUNY Academic

: Human health is strongly affected by the concentration of ﬁne particulate matter (PM 2.5 ). The need to forecast unhealthy conditions has driven the development of Chemical Transport Models such as Community Multi-Scale Air Quality (CMAQ). These models attempt to simulate the complex dynamics of chemical transport by combined meteorology, emission inventories (EI’s), and gas/particle chemistry and dynamics. Ultimately, the goal is to establish useful forecasts that could provide vulnerable members of the population with warnings. In the simplest utilization, any forecast should focus on next day pollution levels, and should be provided by the end of the business day (5 p.m. local). This paper explores the potential of different approaches in providing these forecasts. First, we assess the potential of CMAQ forecasts at the single grid cell level (12 km), and show that signiﬁcant variability not encountered in the ﬁeld measurements occurs. This observation motivates the exploration of other data driven approaches, in particular, a neural network (NN) approach. This approach makes use of meteorology and PM 2.5 observations as model predictors. We ﬁnd that this approach generally results in a more accurate prediction of future pollution levels at the 12 km spatial resolution scale of CMAQ. Furthermore, we ﬁnd that the NN is able to adjust to the sharp transitions encountered in pollution transported events, such as smoke plumes from forest ﬁres, more accurately than CMAQ.
Improved Software Fault Detection with Graph Mining

This work addresses the problem of discovering bugs in software development. We investigate the utilisation of call graphs of program executions and graph mining algorithms to approach this problem. We propose a novel reduction technique for call graphs which introduces edge weights. Then, we present an analysis technique for such weighted call graphs based on graph mining and on traditional feature selection. Our new approach finds bugs which could not be detected so far. With regard to bugs which can already be localised, our technique also doubles the precision of finding them.
User-Centered Evaluation of the Quality of Blogs

Blogs serve multiple purposes, resulting in several types of blogs that vary greatly in terms of quality and content. It is important to evaluate the quality of blogs, which requires appropriate evaluation criteria. Unfortunately, there are minimal studies on framework and the specific criteria and indicators for evaluating the quality of blogs. Moreover, quality is related to user perception, and should therefore be evaluated by the receivers. This dissertation examines the criteria and indicators that blog users consider important for evaluating the quality of blogs, and develops a user-centered framework for evaluating quality by conducting user surveys and post-survey email interviews. The personal characteristics that affect the users’ choices of criteria to evaluate the quality of blogs are examined as well. The study’s findings include 1) the criteria that users consider important when evaluating the quality of blogs are content quality, usability, authority, and blog credibility; 2) the indicators that blog users consider most important for evaluating the quality of blogs are understandability, accuracy, believability, currency, ease of use, and navigation; and 3) gender, education level, age, profession, purpose of use, and specific interests affect the user’s choices of criteria for evaluating the quality of blogs. Future research may involve exploring and applying the framework developed in this study to build automatic quality blog identification system for the purpose of assisting web users and information specialists to identify quality blogs.
An Avatar Based Translation System from Arabic Speech to Arabic Sign Language for Deaf People

The sign language is the primary means of communication among the deaf community and normal people. It is the natural language for the community, using hand movements and other gestures. Many attempts are being made to develop an Arabic Sign Language (ARSL) and distribute it among members of the deaf community and those concerned. Building an accurate sign language recognition system is of a great importance in order to efficiently facilitating this communication. In this research, an Avatar Based Translation System for ArSL (ABTS–ArSL) is developed using Microsoft Window 7 Speech Recognition Engine. A proper training on the Speech Recognition tutorial is suggested prior to using ABTS–ArSL to achieve better voice recognition. ABTS–ArSL grammar is developed and embedded in Microsoft Visual Basic 2008. The Arabic alphabets and single numbers with their respective signs and avatar images are stored in different directories and invoked upon receiving a word uttered by a user. ABTS–ArSL is a visual natural language model that might be used for communication by both groups in Arabic speaking countries.
Kastamonu Eğitim Dergisi

This study aims to examine and compare three popular free-to-use visual programming environments. While choosing three environments among other visual programming environments, three criteria were taken into account which are being completely free, popular, and productive. After reviewing several environments, MIT’s App Inventor, Scratch and Microsoft’s Kodu Game Lab were chosen. While App Inventor and Scratch are free and open source environments, Microsoft’s Kodu is only free to use. Selected three environments were investigated through using and examining the environments and literature review. Outcomes of this study can help teachers, instructors and students to choose a relevant visual programming environment based on their needs. Review of the environments showed that while Kodu is more relevant for elementary students, Scratch’s target group are similar but also includes higher age range. Another difference between them was that Kodu’s sole purpose is to develop games in 3D, Scratch is used for 2D games and animations. App Inventor, on the other hand, targets middle school and higher age range to develop mobile applications for Android OS. Scratch and App Inventor uses the same block-based library which is more relevant to teach basic programming concepts such as variables, conditional expressions, and loops than Microsoft’s Kodu. Selected three environments have the advantages of their own and features specifically for their target audience and products. This study investigated the important differences and features of the selected environments.
A 10-Gb/s receiver with series equalizer and on-chip ISI monitor in 0.11-μm CMOS

A 10-Gb/s receiver is presented that consists of an equalizer, an intersymbol interference (ISI) monitor, and a clock and data recovery (CDR) unit. The equalizer uses the Cherry-Hooper topology to achieve high-bandwidth with small area and low power consumption, without using on-chip inductors. The ISI monitor measures the channel response including the wire and the equalizer on the fly by calculating the correlation between the error in the input signal and the past decision data. A switched capacitor correlator enables a compact and low power implementation of the ISI monitor. The receiver test chip was fabricated by using a standard 0.11-/spl mu/m CMOS technology. The receiver active area is 0.8 mm/sup 2/ and it consumes 133 mW with a 1.2-V power supply. The equalizer compensates for high-frequency losses ranging from 0 dB to 20 dB with a bit error rate of less than 10/sup -12/. The areas and power consumptions are 47 /spl mu/m /spl times/ 85 /spl mu/m and 13.2 mW for the equalizer, and 145 /spl mu/m /spl times/ 80 /spl mu/m and 10 mW for the ISI monitor.
Collocation extraction based on syntactic parsing

Collocations (typical word associations like "to meet a condition", "to believe firmly", "highly controversial", "a deep concern") are pervasive in language. Due to their encoding idiomaticity, collocations are of paramount importance for text production tasks, for Foreign Language Learning as well as for Natural Language Processing applications such as machine translation. This thesis tackles the problem of automatic acquisition of collocations from text corpora, and proposes a methodological framework for their identification based on syntactic criteria. It is shown that (1) the results obtained are more reliable than those of standard methods based on linear proximity constraints, and (2) the syntax-based approach enables a more advanced treatment of these expressions, which is now largely absent in the related computational work: extraction of n-ary collocations (n>2), induction of syntactic patterns for collocations, Web-based extraction of collocations, and translation of collocations.
Paleomagnetic dating of climatic events in late quaternary sediments of Lake Baikal (Siberia)

De fait, il fournit un modele d'âge pour les sediments du Lac Baikal, ancre par datations 14C pour les derniers 15 ka et par des excursions paleomagnetiques : Laschamp a ~ 42 ka et Iceland Basin a ~ 185 ka. Celles-ci sont respectivement enregistrees par une importante deviation geomagnetique et une inversion complete. Selon notre modele d'age, les enregistrements paleomagnetiques ont des resolutions de 120 a 800 ans dependantes des taux de sedimentation de 2,9 cm ka-1 et 19,4 cm ka-1 en fonction de leur proximite au rivage, et par consequent, de l'apport detritique. Le modele d'âge revele des hiatus de sedimentation locaux non correles d'un site a l'autre. Sur la base du modele d'âge paleomagnetique, le refroidissement dans la region du lac Baikal et le refroidissement de la surface de l'ocean Atlantique Nord (revele par le ð18O des foraminiferes planctoniques) sont simultanes. Compare au ð18O planctonique, le ð18O benthique enregistre preferentiellement les changements de volume de glace qui surviennent plus tard que le refroidissement des eaux de surface. Ceci montre l'erreur de datation qu'implique une correlation directe entre des enregistrements sedimentaires du lac Baikal et les courbes de variation du ð18O benthique. La compilation des courbes paleomagnetiques issue des differents sites etudies permet de proposer une nouvelle courbe de paleointensite relative "Baikal 200" couvrant les derniers 200 ka et constituant une nouvelle courbe de reference pour l'Asie Centrale.