Miracle-dz/UniFAR-FTUs huggingface dataset:
The transcriptional regulator LysG (Rv1985c) of Mycobacterium tuberculosis activates lysE (Rv1986) in a lysine-dependent manner

The Mycobacterium tuberculosis protein encoded by the Rv1986 gene is a target for memory T cells in patients with tuberculosis, and shows strong similarities to a lysine exporter LysE of Corynebacterium glutamicum. During infection, the pathogen Mycobacterium tuberculosis adapts its metabolism to environmental changes. In this study, we found that the expression of Rv1986 is controlled by Rv1985c. Rv1985c is located directly upstream of Rv1986 with an overlapping promoter region between both genes. Semiquantitative reverse transcription PCR using an isogenic mutant of Mycobacterium tuberculosis lacking Rv1985c showed that in the presence of lysine, Rv1985c protein positively upregulated the expression of Rv1986. RNA sequencing revealed the transcription start points for both transcripts and overlapping promoters. An inverted repeat in the center of the intergenic region was identified, and binding of Rv1985c protein to the intergenic region was confirmed by electrophoretic mobility shift assays. Whole transcriptome expression analysis and RNAsequencing showed downregulated transcription of ppsBCD in the Rv1985c-mutant compared to the wild type strain. Taken together, our findings characterize the regulatory network of Rv1985c in Mycobacterium tuberculosis. Due to their similarity of an orthologous gene pair in Corynebacterium glutamicum, we suggest to rename Rv1985c to lysG(Mt), and Rv1986 to lysE(Mt).
IMPORTANCE OF TINTINNIDS AND MESODINIUM RUBRUM IN COMMUNITIES OF PLANKTONIC CILIATES IN THE SHALLOW BRACKISH LAKES GARDNO AND ŁEBSKO (NORTHERN POLAND)

Ciliates constitute an important trophic link in aquatic environments, because they are essential food sources for zooplankton and fish. In this study, the spatial differences in abundance and composition of ciliate communities in relation to varying water salinity were investigated. The study was conducted in the large, brackish, eutrophic lakes Gardno and Łebsko. In the studied lakes, no significant differences among ciliate communities were identified among sampling sites. Ciliate communities in Lake Łebsko were characterized by a high contribution of tintinnids, with mean values at particular sites between 32% and 36%. In Lake Gardno, where salinity was lower, the importance of tintinnid ciliates increased after a marine water intrusion into the lake. In both lakes, the importance of tintinnids in ciliate communities was higher than in adjacent fresh and marine waters. Shortly after wind-driven intrusions of marine waters (backwaters), the marine and brackish mixotrophic ciliate Mesodinium rubrum was observed in both lakes. Once, in the eastern part of Lake Łebsko, Mesodinium major (= Mesodinium rubrum forma major) was observed after a strong backwater when salinity reached 5.4 PSU.
Asac 2008 Does Diversification Explain Market Anomalies?

Empirical evidence suggests that stockholders do not diversify their portfolios to any significant level, and they are compensated for bearing idiosyncratic risk. In this paper, we breakdown the abnormal returns of size, value, long-term-reversal, momentum, and short-term contrarian premiums into diversification and net selectivity components to find that the anomalies in the U.S. and the international capital markets vanish when the effects of foregone diversification are taken into account.
Induction of a Simple Morphology for Highly-Inflecting Languages

This paper presents an algorithm for the unsupervised learning of a simple morphology of a natural language from raw text. A generative probabilistic model is applied to segment word forms into morphs. The morphs are assumed to be generated by one of three categories, namely prefix, suffix, or stem, and we make use of some observed asymmetries between these categories. The model learns a word structure, where words are allowed to consist of lengthy sequences of alternating stems and affixes, which makes the model suitable for highly-inflecting languages. The ability of the algorithm to find real morpheme boundaries is evaluated against a gold standard for both Finnish and English. In comparison with a state-of-the-art algorithm the new algorithm performs best on the Finnish data, and on roughly equal level on the English data.
Plasticité cristalline et transition d’échelle : cas du monocristal

Cet article traite de la modelisation numerique du comportement de materiaux cristallins. Apres une description des modeles de simulations a l’echelle atomique et des applications a l’etude de la deformation plastique des metaux, l’article aborde les modeles numeriques du comportement collectif de populations de dislocations pour lesquels les entites simulees sont les lignes de defauts. Puis, deux modeles d'etude du comportement du monocristal sont presentes. Le premier utilise les densites de dislocations sur les systemes de glissement, tandis que le deuxieme est purement phenomenologique et permet de traiter des chargements complexes.
A Novel DCT-Based JND Model for Luminance Adaptation Effect in DCT Frequency

Many conventional DCT based Just Noticeable Distortion (JND) models incorporate luminance adaptation (LA) effect of the human visual system (HVS). The conventional LA-JND models exploit only background luminance to estimate JND values. In this letter, we reveal that the LA effect of HVS depends not only on background luminance but also on frequency in DCT domain. In addition, we first propose a novel DCT-based LA-JND model that takes into account its frequency characteristics. From our psychophysical experiment results, we found that the LA-JND threshold exhibits quasi-parabolic shapes with lower and higher curvatures in lower and higher frequency ranges, respectively. Our subjective evaluation shows that the proposed LA-JND model yields almost invisible distortions for test images with average PSNR of 29.11 dB, which is 2.63 dB lower than the other models for comparison, showing higher consistency with real visual perception for the LA in DCT domain.
An entropy based feature for whisper-island detection within audio streams

Non-neutral speech, especially whispered speech, has strong negative impact on speech system performance. It is therefore necessary to detect whisper-islands embedded within neutral speech prior to subsequent processing steps. Detecting whisper-islands in speech audio streams can contribute to improved modeling, speech analysis, and understanding. Speech technology can also benefit by allowing for suppression/obscuring of sensitive data (names, credit card numbers, etc.) in audio archives, call centers, or for spoken document retrieval systems. This study focuses on detecting whisper-island from neutral speech within audio streams using a proposed new entropy-based feature. The new feature focused on effectively detecting vocal effort change points between whisper and neutral speech. Experimental results employing a multi-error score show that the new feature has superior performance over a previous method introduced in [2]. Overall, the detection accuracy of 97% (for male) and 96.7% (for female) indicate effective performance in whisper-island detection, and suggests a viable algorithm to assist speech and language technology when whisper is present.
Exploring influences of consumer socialization agents on branded apparel purchase among urban Malaysian tweens

Tween consumers today interact with brands, television media and friends as their main agents of socialization. These agents have impacts on their consumption patterns. In the Malaysian market, the tween segment has emerged and also taken the retail trade by storm. Tweens are now able to influence their parents’ purchasing decisions and this has changed the spending behaviour of their family. This paper seeks to examine consumer socialization sources for tweens and how these socialization agents can influence their preference for branded apparels. Data was collected using a structured survey questionnaire to elicit responses on the purchase preferences of branded apparels. The respondents comprised of 150 urban tweens between the ages of 8 to 12 years. Findings revealed that urban tweens had relatively high awareness on brand names and strong purchase preferences for branded apparels. Peer, parental and advertisement influences, combined with their obsession for television media, have significantly affected their purchase of branded apparels. Arguably, parental selective power still has some exertion on tween’s purchase decisions although the influence is declining. Parents and tweens often wear apparels of the same brands. The findings of this study have several implications for marketers, consumers, and family policy makers.
Management of Data Replication for PC Cluster-based Cloud Storage System

Storage systems are essential building blocks for cloud computing infrastructures. Although high performance storage servers are the ultimate solution for cloud storage, the implementation of inexpensive storage system remains an open issue. To address this problem, the efficient cloud storage system is implemented with inexpensive and commodity computer nodes that are organized into PC cluster based datacenter. Hadoop Distributed File System (HDFS) is an open source cloud based storage platform and designed to be deployed in low-cost hardware. PC Cluster based Cloud Storage System is implemented with HDFS by enhancing replication management scheme. Data objects are distributed and replicated in a cluster of commodity nodes located in the cloud. This system provides optimum replica number as well as weighting and balancing among the storage server nodes. The experimental results show that storage can be balanced depending on the available disk space, expected availability and failure probability of each node in PC cluster.
Sound and Complete Query Answering in Intensional P 2 P Data Integration

Contemporary use of the term ’intension’ derives from the traditional logical doctrine that an idea has both an extension and an intension. In this paper we introduce an intensional FOL (First-order-logic) for P2P systems by fusing the Bealer’s intensional algebraic FOL with the S5 possible-world semantics of the Montague, we define the intensional equivalence relation for this logic and the weak deductive inference for it. The notion of ontology has become widespread in semantic Web. The meaning of concepts and views defined over some database ontology can be considered as intensional objects which have particular extension in some possible world: for instance in the actual world. Thus, non invasive mapping between completely independent peer databases in a P2P systems can be naturally specified by the set of couples of intensionally equivalent views, which have the same mining (intension), over two different peers. Such a kind of mapping has very different semantics from the standard view-based mappings based on the material implication commonly used for Data Integration. We show how a P2P database system may be embedded into this intensional modal FOL, and how we are able to obtain a weak non-omniscient inference, which can be effectively implemented. For a query answering we consider non omniscient query agents and we define object-oriented class for them which implements as method the query rewriting algorithm. Finally, we show that this query answering algorithm is sound and complete w.r. t. the weak deduction of the P2P intensional logic.
EFFECTS OF SOIL PHYSICAL PROPERTIES ON LAND- MINES DETECTION USING MICROSTRIP ANTENNA

The effect of soil properties on landmines detection using Microstrip antenna with corrugated ground between the two microstrip elements as a sensor has been investigated. The effect of the electrical properties of the soil as well as the shape of the soil surface on the detection capability of the sensor is studied. The Finite-Difference Time-Domain (FDTD) has been used to simulate the sensor for landmines detection.
Parallel Suffix Arrays for Linguistic Pattern Search

The paper presents the results of an analysis of the merits and problems of using suffix arrays as an index data structure for annotated natural-language corpora. It shows how multiple suffix arrays can be combined to represent layers of annotation, and how this enables matches for complex linguistic patterns to be identified in the corpus quickly and, for a large subclass of patterns, with greater theoretical efficiency than alternative approaches. The results reported include construction times and retrieval times for an annotated corpus of 1.9 billion characters in length, and a range of example patterns of varying complexity.
Collaboration in the small vs. collaboration in the large

For the past several years, the Collaborative Software Development Laboratory (CSDL) at the University of Hawaii has been pursuing research along two general fronts: the development of computer systems to support group activities (collaborative software), as well as research on the process of developing software in a group setting (collaborative development). Our research projects include:&bull; Egret, a client-server system for implementing domain-specific, collaborative, hypertext systems [1, 6, 7, 9];&bull; CSRS, an Egret-based system for software review and quality improvement [2, 10, 11, 12, 8, 6, 7, 9];&bull; AEN, an Egret-based system for collaborative authoring and learning [3];&bull; CLARE, an Egret-based system collaborative learning and review [4, 13, 14, 15]. &bull; ICS-WWW, a WWW-based system for exploring community building through electronic means [5]. From these experiences, we have be gun to recognize two fundamentally different styles of collaboration and collaborative system, which we term collaboration-in-t he-large and collaboration-in-the-small. Collaboration in the large, embodied by such systems as WWW, scales to thousands or millions of individuals. Such domain-independent scale requires a kind of collaborative "open world assumption": users do not know the answers to such elementary questions as: Who are the other users? What is the set of artifacts in the system? What has changed sinceyesterday? What is interesting to me? Is the information repository structurally consistent? What is user X doing right now? In contrast, the systems b uilt by our lab exploit the possibiliti es of domain-specific, collaboration-in-the- small where a "closed world assumption" holds. In our systems, in contrast to WWW, all of the preceeding questions have answers, at least relative to the domain of discourse embodied in the system. The cost of collaboration in the small is its lack of scalability both technically and socially: it is unlikely that groups of more than 50 or 100 could work together effectively in our systems, or that our system could provide adequate responsiveness to larger groups.
Classifying Patent Images

This report presents the work carried out for the image classification task in the course of the CLEF-IP 2011 competition. Based on the visual content, patent images are automatically classified into several drawing types, such as abstract drawings, tables, flow chart and graphs. For that purpose, a series of SVM classifiers, multi-modal fusion schemes and a variety of content-based low-level features for black and white images were used. The overall reported performance was promising. Our best runs achieved a true positive rate of over 66% and the reported average area under curve is over 0.9.
KERBEROS AUTHENTICATION WITH CLOUD COMPUTING ACCESS CONTROL

Cloud computing is a relatively new concept, so it is unsurprising that the security of information and data Protection concerns, network security and privacy still need to be addressed fully. The cloud computing allows clients to avoid hardware and software in Investments, gain flexibility, and cooperation with others, and to take advantage of sophisticated Services. However, security is a big problem for cloud computing clients especially access control; client profiles management and access services provided by public cloud computing environment. This article we are proposing an authentication model for cloud computing based on the Kerberos V5 protocol to provide single sign-on and to prevent against DDOS attacks in the access control system. This model could benefit by filtering against unauthorized access and to reduce the burden, computation and memory usage of cloud computing against authentication checks for each client. It acts as a trust third party between cloud computing servers and clients to allow secure access to cloud computing services. In this paper we will see some of the related work for cloud computing access control security issues and attacks. Then in next section we will discuss the proposed architecture. KeywordsCloud, Role Based Access Control, Authentication Protocol, Key Distribution
On removing multiple redundancies in combinational circuits

Redundancy removal is an important step in combinational logic optimization. After a redundant wire is removed, other originally redundant wires may become irredundant, and some originally irredundant wires may become redundant. When multiple redundancies exist in a circuit, this creates a problem where we need to decide which redundancy to remove first. In this paper, we present an analysis and a very efficient heuristic to deal with multiple redundancies. We associate with each redundant wire a Boolean function that describes how the wire can remain redundant after removing other wires. When multiple redundancies exist, this set of Boolean functions characterizes the global relationship among redundancies.
Nutritional and Organoleptic Evaluation of Colocasia Leaf Rolls Supplemented with Different Protein Sources

Abstract Colocasia esculenta is a popular vegetable among arum family. The leaves of this plant are traditionally consumed in Himachal Pradesh in the form of leafs rolls (patroraas). Traditionally, the leaf rolls are prepared with cereal flours such as maize and rice. As these cereals are poor in quality and quantity protein, an attempt was made to supplement the colocasia leaf rolls with different protein sources such as Soybean, Black gram and Bengal gram to improve the product nutritionally. Results suggested that rolls prepared with legumes were nutritionally and organoleptically superior to the rolls prepared with cereals.
Soil physico-chemical properties and fertility status of long-term land use and cover changes: A case study in Forest vegetative zone of Nigeria

Proper utilization of land is essential to soil quality maintenance and sustainable agricultural development. This study was conducted to evaluate effects of land use management on physico-chemical characteristics of soils in Ekiti State, Southwestern Nigeria. In this study, a total of 105 sampling points in 35 locations comprising of the 3 land uses were sampled. Random sampling pattern of 3 sampling points per location were carried out and undisturbed soil samples were collected at depths up to 30 cm. Soil physical properties (bulk density (BD), water holding capacity (WHC), and particle size distribution) and chemical properties (organic matter content (SOM), cation exchange capacity (CEC), phosphorus (P) and organic nitrogen (SON)), were determined and evaluated. Results showed that natural forest on the overall accumulated more nutrients than plantations and cropland. The highest SOM value of 4.07 % was recorded in the natural forests, while the lowest value of 1.52 % was found in the croplands. Organic matter accumulation showed a decreasing trend in the order: forest > plantation > cropland. Natural forest soils had significantly higher volumetric moisture content (VMC) than plantations and croplands. C orrelation analysis of the 11 physico-chemical properties for the study area, showed a significant correlation among 70 of the 190 soil attribute pairs. Land use system reveals a significant decline of soil quality under cropland. Management systems by which soil could be improved towards the development of suitable agricultural management systems must be incorporated during land cultivation. In order to have sustainable land use systems, land use development must not be only economically sustainable but also socially acceptable and environmentally sound. Therefore, strategies to improve agricultural productivity have to seek a sustainable solution that better addresses soil fertility management.
Tbx5 Buffers Inherent Left/Right Asymmetry Ensuring Symmetric Forelimb Formation

The forelimbs and hindlimbs of vertebrates are bilaterally symmetric. The mechanisms that ensure symmetric limb formation are unknown but they can be disrupted in disease. In Holt-Oram Syndrome (HOS), caused by mutations in TBX5, affected individuals have left-biased upper/forelimb defects. We demonstrate a role for the transcription factor Tbx5 in ensuring the symmetric formation of the left and right forelimb. In our mouse model, bilateral hypomorphic levels of Tbx5 produces asymmetric forelimb defects that are consistently more severe in the left limb than the right, phenocopying the left-biased limb defects seen in HOS patients. In Tbx hypomorphic mutants maintained on an INV mutant background, with situs inversus, the laterality of defects is reversed. Our data demonstrate an early, inherent asymmetry in the left and right limb-forming regions and that threshold levels of Tbx5 are required to overcome this asymmetry to ensure symmetric forelimb formation.
A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals

In this paper we propose a novel LMS algorithm in combination with a voice activity detector (VAD) for filtering speech sounds in the Adaptive Noise Cancelation (ANC) problem. The filtering stage is based on the minimization of the squared Euclidean norm of the difference weight vector under a stability constraint over the a posteriori estimation error. To this purpose, the Lagrangian methodology has been used in order to propose a non-linear adaptation defined in terms of the product of differential inputs and errors. This approach yields better tracking ability under conditions held in Discontinuous Transmission (DTX) systems than previous approaches. In addition the use of a precise VAD provides two operation modes in order to obtain the best trade-off between misadjustment and convergence speed in speech/non-speech frames. The experimental analysis carried out on the AURORA 3 speech databases provides an extensive performance evaluation together with an exhaustive comparison to standard LMS algorithms including the normalized (N)-LMS, and other recently reported LMS algorithms such as the Modified (M)-NLMS or the Normalized Data Nonlinearity (NDN)-LMS Adaptation.