Miracle-dz/UniFAR-FTUs huggingface dataset:
The Homeostasis of Iron, Copper, and Zinc in Paracoccidioides Brasiliensis, Cryptococcus Neoformans Var. Grubii, and Cryptococcus Gattii: A Comparative Analysis

Iron, copper, and zinc are essential for all living organisms. Moreover, the homeostasis of these metals is vital to microorganisms during pathogenic interactions with a host. Most pathogens have developed specific mechanisms for the uptake of micronutrients from their hosts in order to counteract the low availability of essential ions in infected tissues. We report here an analysis of genes potentially involved in iron, copper, and zinc uptake and homeostasis in the fungal pathogens Paracoccidioides brasiliensis, Cryptococcus neoformans var. grubii, and Cryptococcus gattii. Although prior studies have identified certain aspects of metal regulation in Cryptococcus species, little is known regarding the regulation of these elements in P. brasiliensis. We also present amino acid sequences analyses of deduced proteins in order to examine possible conserved domains. The genomic data reveals, for the first time, genes associated to iron, copper, and zinc assimilation and homeostasis in P. brasiliensis. Furthermore, analyses of the three fungal species identified homologs to genes associated with high-affinity uptake systems, vacuolar and mitochondrial iron storage, copper uptake and reduction, and zinc assimilation. However, homologs to genes involved in siderophore production were only found in P. brasiliensis. Interestingly, in silico analysis of the genomes of P. brasiliensis Pb01, Pb03, and Pb18 revealed significant differences in the presence and/or number of genes involved in metal homeostasis, such as in genes related to iron reduction and oxidation. The broad analyses of the genomes of P. brasiliensis, C. neoformans var. grubii, and C. gattii for genes involved in metal homeostasis provide important groundwork for numerous interesting future areas of investigation that are required in order to validate and explore the function of the identified genes and gene pathways.
Atmospheric circulation processes contributing to a multidecadal variation in reconstructed and modeled Indian monsoon precipitation

An analysis of the recently reconstructed gridded May–September total precipitation in the Indian monsoon region for the past half millennium discloses significant variations at multidecadal timescales. Meanwhile, paleo‐climate modeling outputs from the National Center for Atmospheric Research Community Climate System Model 4.0 show similar multidecadal variations in the monsoon precipitation. One of those variations at the frequency of 40–50 years per cycle is examined in this study. Major results show that this variation is a product of the processes in that the meridional gradient of the atmospheric enthalpy is strengthened by radiation loss in the high‐latitude and polar region. Driven by this gradient and associated baroclinicity in the atmosphere, more heat/energy is generated in the tropical and subtropical (monsoon) region and transported poleward. This transport relaxes the meridional enthalpy gradient and, subsequently, the need for heat production in the monsoon region. The multidecadal timescale of these processes results from atmospheric circulation‐radiation interactions and the inefficiency in generation of kinetic energy from the potential energy in the atmosphere to drive the eddies that transport heat poleward. This inefficiency creates a time delay between the meridional gradient of the enthalpy and the poleward transport. The monsoon precipitation variation lags that in the meridional gradient of enthalpy but leads that of the poleward heat transport. This phase relationship, and underlining chasing process by the transport of heat to the need for it driven by the meridional enthalpy gradient, sustains this multidecadal variation. This mechanism suggests that atmospheric circulation processes can contribute to multidecadal timescale variations. Interactions of these processes with other forcing, such as sea surface temperature or solar irradiance anomalies, can result in resonant or suppressed variations in the Indian monsoon precipitation.
Automatic Classification of X-rated Videos using Obscene Sound Analysis based on a Repeated Curve-like Spectrum Feature

This paper addresses the automatic classification of X-rated videos by analyzing its obscene sounds. In this paper, obscene sounds refer to audio signals generated from sexual moans and screams during sexual scenes. By analyzing various sound samples, we determined the distinguishable characteristics of obscene sounds and propose a repeated curve-like spectrum feature that represents the characteristics of such sounds. We constructed 6,269 audio clips to evaluate the proposed feature, and separately constructed 1,200 X-rated and general videos for classification. The proposed feature has an F1-score, precision, and recall rate of 96.6%, 98.2%, and 95.2%, respectively, for the original dataset, and 92.6%, 97.6%, and 88.0% for a noisy dataset of 5dB SNR. And, in classifying videos, the feature has more than a 90% F1-score, 97% precision, and an 84% recall rate. From the measured performance, X-rated videos can be classified with only the audio features and the repeated curve-like spectrum feature is suitable to detect obscene sounds.
LONG-RANGE FORECASTING BY EEOF EXTRAPOLATION

This paper presents an optimum combination of two robust statistical techniques that can be used to improve the skill of long-range weather forecasts. The first method uses decomposition and analysis based on EEOF (Extended Empirical Orthogonal Functions), with a 3-month data window, for temperature and precipitation fields in Romania. Using Rule N to select the significant components led to 3 modes for temperature and to 9 modes for precipitation. In linear extrapolation, an AR model is used to produce forecast the time series of the EEOF components. The parameters of this model are determined by a method consistent with the maximum entropy method, which is why this model is named AR-MEM. In order to select model order, 7 criteria are tested, some of which are efficient, while the others are consistent. Model parameters are determined from observational data over the period 1950 – 1990. The Heidke skill score is computed using independent data (1991-1997). The best results have been obtained for the temperature field filtered by the first 3 EEOF modes, for the meteorological stations situated in the central part of Romania. For precipitation, the forecast based on the EEOF 1 component with one-step ahead, led to skill scores worse than those obtained using persistence in all cases.
Properties of dark matter haloes in clusters, filaments, sheets and voids

Using a series of high-resolution N-body simulations of the concordance cosmology we investigate how the formation histories, shapes and angular momenta of dark-matter haloes depend on environment. We first present a classification scheme that allows to distinguish between haloes in clusters, filaments, sheets and voids in the large-scale distribution of matter. This method (which goes beyond a simple measure of the local density) is based on a local-stability criterion for the orbits of test particles and closely relates to the Zel’dovich approximation. Applying this scheme to our simulations we then find that: i) Mass assembly histories and formation redshifts strongly depend on environment for haloes of mass M < M� (haloes of a given mass tend to be older in ′
The design of efficiently-encodable rate-compatible LDPC codes - [transactions papers]

We present a new class of irregular low-density parity-check (LDPC) codes for moderate block lengths (up to a few thousand bits) that are well-suited for rate-compatible puncturing. The proposed codes show good performance under puncturing over a wide range of rates and are suitable for usage in incremental redundancy hybrid-automatic repeat request (ARQ) systems. In addition, these codes are linear-time encodable with simple shift-register circuits. For a block length of 1200 bits the codes outperform optimized irregular LDPC codes and extended irregular repeat-accumulate (eIRA) codes for all puncturing rates 0.6~0.9 (base code performance is almost the same) and are particularly good at high puncturing rates where good puncturing performance has been previously difficult to achieve.
End-point detecting system for the etching process

This paper proposes the semiconductor monitoring system for the etching process. Around the world, expert companies are competing fiercely since the semiconductor industry is a leading value-added industry that produces the essential components of electronic products. As a result, many researches have been conducted in order to improve the quality, productivity, and characteristics of semiconductor products. Since the etching process to form a semiconductor circuit causes great damage to the semiconductors, it is very necessary to develop a system for monitoring the process. The proposed monitoring system has the functionality of setting scenarios to match the process control automatically. In addition, it maximizes the efficiency of process automation. The result can be immediately reflected to the system since it performs real-time monitoring. UI (User Interface) provides managers with diagnosis of the current state in the process.
Social access control language (SocACL)

Online Social Networks hold vast amounts of readily accessible personal information leaving them particularly vulnerable to privacy breach attacks [6]. With the impact these breaches varying from simply embarrassing the user, to negatively influencing the decision of potential employers, identity theft and even physical harm it is important that they are addressed. In this research we approach privacy management in OSNs as an access control problem. We propose a formal Attribute-Based Access Control (ABAC) language; SocACL. SocACL is based on Answer Set Programming (ASP) and allows for policy specification using the most abundant sources of information available in OSNs; user attributes and relationships. This paper outlines SocACL's core concepts, features, syntax and semantics.
Development and Coherence of Beliefs Regarding Disease Causality and Prevention

Guided by a naïve theories perspective on the development of thinking about disease, this study of 188 children aged 6 to 18 examined knowledge of HIV/AIDS causality and prevention using parallel measures derived from open-ended and structured interviews. Knowledge of both risk factors and prevention rules, as well as conceptual understanding of AIDS causality, increased with age. Younger children displayed more advanced knowledge in response to structured questions than in response to open-ended questions. Contrary to hypothesis, knowledge of causality was not more advanced than knowledge of prevention in elementary school. Moreover, correlations between the two types of knowledge were often nonsignificant except when the same method was used to assess both. Thus, methodology matters in assessing children's knowledge of disease, children's intuitive thinking is not consistently coherent, and it may be safest to educate children explicitly about sound prevention rules rather than assume they will infer the rules themselves from information about a disease's causes.
Avoiding Bad Query Mixes to Minimize Unsuccessful Client Requests Under Heavy Loads

In three-tiered web applications, some form of admission control is required to ensure that throughput and response times are not significantly harmed during periods of heavy load. We propose Q-Cop, a prototype system for improving admission control decisions that computes measures of load on the system based on the actual mix of queries being executed. This measure of load is used to estimate execution times for incoming queries, which allows Q-Cop to make control decisions with the goal of minimizing the number of requests that are not serviced before the client, or their browser, times out. Using TPC-W queries, we show that the response times of different types of queries can vary significantly, in excess of 50% in our experiments, depending not just on the number of queries being processed but on the mix of other queries that are running simultaneously. The variation implies that admission control can benefit from taking into account not just the number of queries being processed, but also the mix of queries. We develop a model of expected query execution times that accounts for the mix of queries being executed and integrate that model into a three-tiered system to make admission control decisions. This approach makes more informed decisions about which queries to reject, and our results show that it significantly reduces the number of unsuccessful client requests. Our results show that this approach makes more informed decisions about which queries to reject and as a result significantly reduces the number of unsuccessful client requests. For comparison, we develop several other models which represent related work in the field, including an MPL-based approach and an approach that considers the type of query but not the mix of queries. We show that Q-Cop does not need to re-compute any modelling information in order to perform well, a strong advantage over most other approaches. Across the range of workloads examined, an average of 47% fewer requests are denied than the next best approach.
Weak Leader Election in the receive-omission failure model

ions that enables one to more expressively represent failure scenarios by considering failures that are not independent or not identically distributed; 4) although it allows for faulty processes to be elected, correct processes are able to detect it, enabling the use of alarms to indicate failures in the system. Relating to our discussion on Primary-Backup protocols, by assuming that faulty processes can be elected, we cannot bound response time for a Primary-Backup algorithm. We can guarantee, however, that there is at most one primary at any time, and that response is bounded whenever a correct process emerges as the primary. We further discuss this and other issues with Primary-Backup protocols later in the paper.
CMOS-based Chebyshev current-mode ladder band-pass filter

This paper presents a CMOS-based Chebyshev current-mode ladder band-pass filter (BPF). The integrator building blocks (lossy and lossless integrators) with 6 grounded capacitors are used to realize the BPF by using doubly terminated RLC ladder filter prototype based on TSMC 0.18 μm CMOS technology. Frequency response of the circuit can be tuned between 1 MHz and 200 MHz through bias currents from 0.01 μA to 100 μA. The proposed circuit has many attractive features, for instant, low power supply as 1.5 V, low dynamic power consumption and low Total Harmonic Distortion (THD). All simulation results are carried out by PSpice which are good agreements compared with the RLC prototype.
The BitCod Client: A BitTorrent Clone using Network Coding

Network coding is an emerging field of research with sound and mature theory supporting it. Recent works shows that it has many benefits like improved fault tolerance, higher flexibility in selection of file parts to transfer and resiliency to network partitions [4, 3]. Despite those appealing properties there is no wide usage of network coding in real file sharing applications. In this work, we try to bridge the gap between theory of network coding and practice. From the one hand, we deploy one the most successful file sharing client, the BitTorrent client. We use the BitTorrent algorithm for optimizing the neighbor selections for maximizing the upload bandwidth. From the other hand, we propose several simple heuristics that improve significantly the efficiency of the network coding deployed. In a nutshell, we propose computation intensive variant of network coding that can be applied to most of the existing network coding protocols. By changing the random selection of coded parts to a selection based on feedback from the network, we significantly improve the network utilization and the efficiency of the protocol. In this paper we report our work in progress building the BitCod client. Using extensive simulations we demonstrate that our technique can compete with the performance of the state-of-the-art BitTorrent [2] file sharing client. Next, we plan to implement and test a prototype of the BitCod client over the WAN.
Interfaces and Nanostructures of Functional Oxide Octahedral Framework Structures

In the past decade, the rich physics exhibited by solid interfaces combining octahedral framework structures of transition metal oxides has fascinated the materials science community. However, the behavior of these materials still elude the current understanding of classical semiconductor and metal epitaxy. The reason for that is rooted in the surprising versatility of linked coordination units to adapt to a dissimilar substrate and the strong sensitivity of correlated oxides to external perturbations. The confluence of atomic control in oxide thin film epitaxy, state of the art high spatial resolution characterization techniques, and electronic structure computations, has allowed in recent years to obtain first insights on the underlying microscopic mechanisms governing the epitaxy of these fascinating materials. Here, we shortly review these mechanisms and highlight their potential in the design of novel nanostructures with enhanced functionalities.
Secure Cooperative Sharing of JavaScript , Browser , and Physical Resources

For better application-level controls on mashups, we advocate extending the Single Origin Policy and associated primitives to support a cooperative model that allows applications to express explicit sharing policies over browser, Javascript, and physical resources. First, we introduce an isolation model for content loading that is more complete than those of surveyed browser proposals. Second, we present new primitives to enable an application to secure its use of untrusted content by delegating browser, JavaScript, and physical resources in a fine-grained and reliable manner. Finally, essential to adoption, we propose an architecture based on designs for related abstractions with low performance and implementation costs.
Medidas de disponibilidad léxica: comparabilidad y normalización

Despues de hacer una revision pormenorizada de las formulas matematicas utilizadas en los estudios de disponibilidad lexica, hemos encontrado algunos inconvenientes en los rangos de valores que pueden tomar las formulas propuestas originalmente que dificultan su comparabilidad al aplicarse en investigaciones que presenten diferentes tamanos de muestras. En concreto, nos referimos en primer lugar a la formula para el calculo de la disponibilidad de Lopez Chavez y Strassburger Frias (1987, 1991) que presenta problemas para medir la disponibilidad cuando las palabras se acercan al limite inferior –que es cero-, es decir, cuando son “muy poco disponibles”. Por otro lado, en la formula propuesta por Avila Munoz y Sanchez Saez (2010) que mide el grado de compatibilidad de los vocablos, a pesar de que un vocablo alcance el maximo grado de compatibilidad, su valor nunca llega a ser 1, que es teoricamente el limite superior de referencia en dicha formula. Es por esto que en el presente trabajo, ademas de analizar en profundidad los casos descritos anteriormente, hemos propuesto diferentes opciones de formulas que, por un lado, permiten una mayor precision matematica, y por otro, permiten la comparabilidad entre distintos estudios que utilicen muestras de diferente tamano y caracteristicas.
Comparison of 3.6-8.0 μm Spitzer/IRAC Galactic Center Survey Point Sources with Chandra X-Ray Point Sources in the Central 40 × 40 Parsecs

We have studied the correlation between 2357 Chandra X-ray point sources in a 40 × 40 pc field and ~20,000 infrared sources we observed in the corresponding subset of our 2° × 1.4° Spitzer/IRAC Galactic Center Survey at 3.6-8.0 μm, using various spatial and X-ray hardness thresholds. The correlation was determined for source separations of less than 0.5″, 1″, or 2″. Only the soft X-ray sources show any correlation with infrared point sources on these scales, and that correlation is very weak. The upper limit on hard X-ray sources that have infrared counterparts is <1.7% (3 σ). However, because of the confusion limit of the IR catalog, we only detect IR sources with absolute magnitudes ≲1. As a result, a stronger correlation with fainter sources cannot be ruled out. Only one compact IR source, IRS 13, coincides with any of the dozen prominent X-ray emission features in the 3 × 3 pc region centered on Sgr A*, and the diffuse X-ray and IR emission around Sgr A* seems to be anticorrelated on a few-arcsecond scale. We compare our results with previous identifications of near-infrared companions to Chandra X-ray sources.
Survey on the Use of Typological Information in Natural Language Processing

In recent years linguistic typologies, which classify the world’s languages according to their functional and structural properties, have been widely used to support multilingual NLP. While the growing importance of typologies in supporting multilingual tasks has been recognised, no systematic survey of existing typological resources and their use in NLP has been published. This paper provides such a survey as well as discussion which we hope will both inform and inspire future work in the area.
Knowlywood: Mining Activity Knowledge From Hollywood Narratives

Despite the success of large knowledge bases, one kind of knowledge that has not received attention so far is that of human activities. An example of such an activity is proposing to someone (to get married). For the computer, knowing that this involves two adults, often but not necessarily a woman and a man, that it often takes place in some romantic location, that it typically involves flowers or jewelry, and that it is usually followed by kissing, is a valuable asset for tasks like natural language dialog, scene understanding, or video search. This corresponds to the challenging task of acquiring semantic frames that capture human activities, their participating agents, and their typical spatio-temporal contexts. This paper presents a novel approach that taps into movie scripts and other narrative texts. We develop a pipeline for semantic parsing and knowledge distillation, to systematically compile semantically refined activity frames. The resulting knowledge base contains hundreds of thousands of activity frames, mined from about two million scenes of movies, TV series, and novels. A manual assessment study, with extensive sampling and statistical significance tests, shows that the frames and their attribute values have an accuracy of at least 80 percent. We also demonstrate the usefulness of activity knowledge by the extrinsic use case of movie scene search.
A Tabu Search Heuristic for the Global Planning of UMTS Networks

In this paper, we propose a tabu search heuristic to find "good" feasible solutions for the global planning problem of universal mobile telecommunications system (UMTS) networks that is composed of three subproblems: the cell, the access network and the core network planning subproblems. Since this global planning problem has been proven to be NP-hard, we concentrate our efforts on the development of an efficient heuristic. Numerical results show that quasi-optimal solutions (on average, within 0.21% of the optimal solution) can be obtained with the proposed approach
Privacy Dashboards: Reconciling Data-Driven Business Models and Privacy

We argue for the use of Privacy Dashboards as enablers for privacy-enabled data-driven business models. Specifically, while dashboards are succesful instruments in business intelligence tools, their use in privacy protection is far less well-understood. Addressing this problem at the technical level, this paper provides a classification scheme for Privacy Dashboards and elaborates on the current state of the art to draw a research agenda for designing Privacy Dashboards that cater to users' desire of control and businesses' need for data collection and usage.