Miracle-dz/UniFAR-FTUs huggingface dataset:
Análisis transcripcional de la región genética RvD1 de Mycobacterium bovis Transcriptional analysis of genetic region RvD1 of Mycobacterium bovis

Mycobacteriumbovis, shares 99.9% of genomic identity withM.tuberculosis,M.africanum andM.microti. Within this 0.1% of difference, there are two genetic regions characteristics ofM.bovis that are deleted inM.tuberculosis H37Rv: RvD1 and RvD2. According to bioinformatic analysis, these regions contain Open Reading Frames (ORFs). With the purpose of determining if the RvD1 region transcribes the ORFs predicted by bioinformatics (ORF1, ORF2 and Rv2024); total RNA was extracted from a culture of M. bovis BCG Pasteur, at different time points along the growth curve. The RNA samples were analyzed by Real Time Reverse Transcription - Polymerase Chain Reaction (RTq-PCR). The findings show that ORF1, ORF2 and Rv2024, were transcribed constitutively, something that has not been reported previously. These results are a first step in order to determine the function of M. bovis RvD1 region, its possible role in pathogenesis and its interaction with both cattle and humans.
Mating type specific roles during the sexual cycle of Phycomyces blakesleeanus

Phycomyces blakesleeanus is a filamentous fungus that belongs in the order Mucorales. It can propagate through both sexual and asexual reproduction. The asexual structures of Phycomyces called sporangiophores have served as a model for phototropism and many other sensory aspects. The MadA-MadB protein complex (homologs of WC proteins) is essential for phototropism. Light also inhibits sexual reproduction in P. blakesleeanus but the mechanism by which inhibition occurs has remained uncharacterized. In this study the role of the MadA-MadB complex was tested. Three genes that are required for pheromone biosynthesis or cell type determination in the sex locus are regulated by light, and require MadA and MadB. However, this regulation acts through only one of the two mating types, plus (+), by inhibiting the expression of the sexP gene that encodes an HMG-domain transcription factor that confers the (+) mating type properties. This suggests that the inhibitory effect of light on mating can be executed through the plus partner. These results provide an example of convergence in the mechanisms underlying signal transduction for
The life-history of Archigetes limnodrili (Yamaguti) (Cestoda: Caryophyllaeidae) and its development in the invertebrate host

The development of Archigetes limnodrili in species of Limnodrilus is described. There is no free-living larva and eggs are ingested by the tubificids. Growth and development is completed within the body cavity of the annelid, and egg liberation is accomplished by release of the parasite and decay of its body. Breeding of A. limnodrili takes place throughout the year. In the localities investigated there was no evidence that a fish host was required in the life-cycle. Progenesis was the only type of development encountered in Britain. A. limnodrili exhibits an unusual degree of host specificity, being found only in species of Limnodrilus. It is suggested that this is due to differences in the composition of the coelom or intestine of Limnodrilus compared to other genera. The degree of infection in all localities is very low, and shows no regular seasonal variation. There is no similarity in the seasonal changes in different localities. The relationship between the host and parasite is a stable one, and there is little mutual damage. Factors contributing to this stability are discussed. The development of A. limnodrili is compared with that of other species of Archigetes, and the life-history discussed with particular reference to the phenomenon of progenesis. I wish to thank Professor R. J. Pumphrey in whose Department this work was carried out, and Dr J. C. Chubb for his constant advice and criticism. I also wish to thank Dr K. H. Mann and the University of Reading for provision of specimens and permitting me the use of their facilities. The work was carried out during the tenure of a Nature Conservancy Research Studentship.
Annual cycle of a coypu (myocastor coypus) population: male and female strategies

Male and female strategies were compared for wild–living populations of coypu (Myocastor coypus Molina) censused during two years in marshlands of central–west France. In a habitat composed of a canal network bisecting pasture fields typically 0–5 ha in size, coypu movements were largely restricted to stretches of open water, though males explored further from water than females. Adults occupied home ranges with a mean size of 3–82 ha or 1. 19 km of canal, males on average moving faster over a larger area and using a greater length of canal than females. Movements within partially shared ranges were most positively coordinated between male–female pairs, while male–male interactions were less frequent. Juvenile coypus were largely absent from the late winter population. Synchronization of litters in March–April resulted in a peak of juveniles in early summer. The sex ratio of juveniles and sub–adults reversed from a male bias in summer to a female bias in autumn. Population densities peaked in November at 4 ha, with a significant female bias (1M: 1–6F). In the same month, a neighbouring population at lower density (1 ha-l after treatment with rodenticide) was significantly male biased (2–7M:lF) and may therefore have been acting as a sink for males dispersing from the high density population. Transients comprised 63% of the population. Females were resident longer than males, 22% of females remaining at least 5 months against 6% of males. Dispersal was recorded only for males aged 6 months or older. The general result, of exploratory behaviour amongst males contrasting with the establishment of longer term home ranges by females, is discussed in terms of male reproductive success and the capacity for females to influence nutrient supply to their litters.
Generalizations of the AdS/CFT correspondence

We consider generalizations of the AdS/CFT correspondence in which probe branes are embedded in gravity backgrounds dual to either conformal or confining gauge theories. These correspond to defect conformal field theories (dCFT) or QCD‐like theories with fundamental matter, respectively. Moreover, starting from the dCFT we discuss the deconstruction of intersecting M5‐branes and M‐theory. We obtain the following results:
Viewing Trends and Users’ Perceptions of the Effect of Sleep-Aiding Music on YouTube: Quantification and Thematic Content Analysis

Background Sleep plays an essential role in the psychological and physiological functioning of humans. A report from the Centers for Disease Control and Prevention (CDC) found that sleep duration was significantly reduced among US adults in 2012 compared to 1985. Studies have described a significant association between listening to soothing music and an improvement in sleep quality and sleep duration. YouTube is a platform where users can access sleep-aiding music videos. No literature exists pertaining to the use of sleep-aiding music on YouTube. Objective This study aimed to examine the patterns of viewing sleep-aiding music videos on YouTube. We also performed a content analysis of the comments left on sleep-aiding music video posts, to describe the perception of users regarding the effects of these music videos on their sleep quality. Methods We searched for sleep-aiding music videos published on YouTube between January 1, 2012, and December 31, 2017. We sorted videos by view number (highest to lowest) and used a targeted sampling approach to select eligible videos for qualitative content analysis. To perform the content analysis, we imported comments into a mixed-method analytical software. We summarized variables including total views, likes, dislikes, play duration, and age of published music videos. All descriptive statistics were completed with SAS statistical software. Results We found a total of 238 sleep-aiding music videos on YouTube that met the inclusion criteria. The total view count was 1,467,747,018 and the total playtime was 84,252 minutes. The median play length was 186 minutes (IQR 122 to 480 minutes) and the like to dislike ratio was approximately 9 to 1. In total, 135 (56.7%) videos had over 1 million views, and 124 (52.1%) of the published sleep-aiding music videos had stayed active for 1 to 2 years. Overall, 4023 comments were extracted from 20 selected sleep-aiding music videos. Five overarching themes emerged in the reviewed comments, including viewers experiencing a sleep problem, perspective on the positive impact of the sleep-aiding music videos, no effect of the sleep-aiding music videos, time to initiation of sleep or sleep duration, and location of viewers. The overall κ statistic for the codes was 0.87 (range 0.85-0.96). Conclusions This is the first study to examine the patterns of viewing sleep-aiding music videos on YouTube. We observed a substantial increase in the number of people using sleep-aiding music videos, with a wide variation in viewer location. This study supports the hypothesis that listening to soothing music has a positive impact on sleep habits.
The Influance Of CASE Tools Traits On The Successful Design Of Web Applications

: The purpose of this research paper is to examine the Influence of CASE Tools Traits (Flexibility, Integration, and Quality Assurance) on the Successful Design of Web Applications. To achieve the research goals, a random sample of 173 systems analysts, database designers, web application developers and systems administrators were randomly selected from a research population of 17 companies working in the software development sector. The outcome showed positive Influence of CASE Tools Traits (Flexibility, Integration, and Quality Assurance) on the successful design of Web Applications. This paper provided new contribution to the existing knowledge related to the use of CASE Tools in the successful design of Web Applications.
Personal Information Privacy: What's Next?

— In recent events, user-privacy has been a main focus for all technological and data-holding companies, due to the global interest in protecting personal information. Regulations like the General Data Protection Regulation (GDPR) set firm laws and penalties around the handling and misuse of user data. These privacy rules apply regardless of the data structure, whether it being structured or unstructured. In this work, we perform a summary of the available algorithms for providing privacy in structured data, and analyze the popular tools that handle privacy in textual data; namely medical data. We found that although these tools provide adequate results in terms of de-identifying medical records by removing personal identifyers (HIPAA PHI), they fall short in terms of being generalizable to satisfy nonmedical fields. In addition, the metrics used to measure the performance of these privacy algorithms don't take into account the differences in significance that every identifier has. Finally, we propose the concept of a domain-independent adaptable system that learns the significance of terms in a given text, in terms of person identifiability and text utility, and is then able to provide metrics to help find a balance between user privacy and data usability.
Analysis of Covariance to Capture the Importance of Bridge Attributes on the Probabilistic Seismic Demand Model

Determining the probability distribution of structural demand conditioned on the ground motion intensity measure, known as the Probabilistic Seismic Demand Model (PSDM), is one of the crucial steps in the generation of fragility curves and seismic vulnerability assessment. To capture the uncertainties associated with geometric parameters and configurations for a particular bridge class, it is common to generate a PSDM resulting from nonlinear time-history analyses for a large number of random bridge samples. This study selects a typical reinforced concrete box-girder bridge in California, and probabilistic numerical bridge models are developed accounting for uncertainties in material properties and structural system. Nonlinear time-history analysis is performed using a set of ground motions developed for the seismic hazard in California to generate the PSDMs. The effect of column configuration (e.g., column diameter, number of columns per bent), bearing types (rocker, elastomeric or friction) and abutment configurations (supported on piles or on spread footing) on the PSDM is assessed using the Analysis of Covariance (ANCOVA) technique. ANCOVA will be used to determine whether the PSDMs of different bridge configurations with distinct attributes vary in terms of slope and/or intercept. This study underscores the necessity to consider the importance of various attributes on the PSDM of box-girder bridges in California.
Sparsity-Aware Caches to Accelerate Deep Neural Networks

Deep Neural Networks (DNNs) have transformed the field of artificial intelligence and represent the state-of-the-art in many machine learning tasks. There is considerable interest in using DNNs to realize edge intelligence in highly resource-constrained devices such as wearables and IoT sensors. Unfortunately, the high computational requirements of DNNs pose a serious challenge to their deployment in these systems. Moreover, due to tight cost (and hence, area) constraints, these devices are often unable to accommodate hardware accelerators, requiring DNNs to execute on the General Purpose Processor (GPP) cores that they contain. We address this challenge through lightweight micro-architectural extensions to the memory hierarchy of GPPs that exploit a key attribute of DNNs, viz. sparsity, or the prevalence of zero values. We propose SparseCache, an enhanced cache architecture that utilizes a null cache based on a Ternary Content Addressable Memory (TCAM) to compactly store zero-valued cache lines, while storing non-zero lines in a conventional data cache. By storing address rather than values for zero-valued cache lines, SparseCache increases the effective cache capacity, thereby reducing the overall miss rate and execution time. SparseCache utilizes a Zero Detector and Approximator (ZDA) and Address Merger (AM) to perform reads and writes to the null cache. We evaluate SparseCache on four state-of-the-art DNNs programmed with the Caffe framework. SparseCache achieves 5-28% reduction in miss-rate, which translates to 5-21% reduction in execution time, with only 0.1% area and 3.8% power overhead in comparison to a low-end Intel Atom Z-series processor.
Augmented Reality to Support Geometry Learning

Currently digital educational applications are employed in education, since technological tools are very interesting and engaging for pupils. Augmented Reality (AR) is one of the most explored and successfully used technology. Thanks to the AR, the situated learning can occur; it suggests that people easily acquire new knowledge if learning occurs in a specific context and is embedded in a physical environment. This paper presents an AR application, called Geo+, for supporting primary school students in the acquisition of knowledge on the solid geometry. Geo+ has been developed by following a Human-Centered Design approach, thus several formative evaluation studies were performed to enhance the quality of the resulting application. A user study involving 96 pupils of the 3rd grade of primary school was performed in order to investigate the learning effectiveness, the engagement and the perceived workload of Geo+ at school. The results showed that Geo+ is effective in terms of student learning gain. In addition, pupils really appreciated the ease of use of the game; they were satisfied and felt engaging and comfortable during the interaction, none of them ask for help during the execution of the learning activities.
Cross-domain Authentication Mechanism for Power Terminals Based on Blockchain and Credibility Evaluation

As the Internet of Things (IoT) technology develops rapidly [1], complex process and privacy leakage during crossdomain authentication of power terminals have become obstacles to improve operational efficiency and user experience. To solve these problems, this paper proposes an identity authentication mechanism based on Blockchain. Via analyzing power communication network, three types of processes are designed in detail, including identity, in-domain authentication, as well as cross-domain authentication for terminals. Moreover, to solve security issues between different domains with various security levels in cross-certification, this paper evaluates identity security and then establishes a cross-domain authentication credibility matrix. Through optimizing the credibility matrix, identity levels for power terminals can be calculated more accurately. Finally, evaluation and analysis about the proposed cross-domain authentication mechanism are presented in terms of scenario, algorithm science, scalability as well as robustness.
Communication Pattern Based Data Authentication (CPDA) Designed for Big Data Processing in a Multiple Public Cloud Environment

With the development of cloud computing, there is a growing trend of multi-cloud Collaborative Big Data Computation (CBDC). In this environment, threats from authorized insiders are of particular concerns. Based on an extreme case of distributed computation where multiple collaborators jointly perform CBDC on shared datasets using an example distributed computing framework, MapReduce (MR), deployed in a Multiple Public Cloud (MPC) environment, this paper investigates how to protect the authenticity of data used during the computation in an efficient and scalable manner by proposing and evaluating a novel data authentication solution. The solution, called a Communication Pattern based Data Authentication (CPDA) framework, ensures data authenticity and non-repudiation of origin at the finest granularity without compromising efficiency and scalability. This is achieved by using an idea of communication pattern based authentication data aggregation. The framework has been comprehensively evaluated both theoretically and experimentally. The evaluation results show that the CPDA framework offers the strongest level of data authenticity protection (equivalent to that provided by digitally signing each data object individually) but introduces much lower overhead cost than the digital signature based solution. The results demonstrate that the idea of communication pattern based authentication data aggregation brings much benefit in terms of supporting efficient and scalable data authentication in a large-scale distributed system.
The eye of the owl monkey (Nyctipithecus)

Monkeys in general are essentially diurnal in their mode of life. There is one, however, the platyrrhine monkey, Nyctipithecus-which is strictly nocturnal in its habits. The structure of its eye, and in particular the retina, thus becomes a matter of interest. Woollard ( '27) described the retina of this form and pointed out its salient features which are typical of a nocturnal animal, viz. ; the absence of a macula and fovea, and the possession of a pure rod retina. In the light of his description it might seem redundant to add to our knowledge of this eye. His description, however, is not accompanied by adequate illustrations. There are other noteworthy features of this eye which he did not discuss and which merit consideration. Moreover, Woollard used his observations on the retina to support the conception that Nyctipithecus is the most primitive of the Platyrrhines-a deduction which seems unwarranted upon the basis of retinal structure. Through the kindness of Professor McGregor of Columbia University, I obtained two eyes of Nyctipithecus which he, himself, enuclcated some years ago and fixed in 10% formalin. Owing to prolonged storage in formalin the eyes were quite hard, but it was possible by slow embedding in celloidin to obtain satisfactory sections of the whole eye (including the lens) at 16 p in thickness. This did not permit detailed cytological studies of the retina, but the general features of all bulbar structures cut at this thickness and stained with iron haematoxylin and erythrosin, could be examined satisfactorily.
Role of public-private partnership in the development of semi-arid Tropics value chain

Public-private partnerships (PPP) form the basis of potential opportunities for pro-poor agricultural research and development in the developing countries. National governments and donors are increasingly looking to private sector to take over many of the roles that government has withdrawn from, but the public sector still harbors a mixed attitude towards the private sector. ICRISAT strongly believes in the power of partnerships and has broadened the base of partnership over the years. ICRISAT has trail-blazed partnerships with private companies, start-up companies, seed companies, foundations and trusts. The PPP initiatives of ICRISAT include Hybrid Parents Research Consortia, Platform for Translational Research on Transgenic Crops, and the Agribusiness and Innovation Platform that includes three programs, namely: Agribusiness Incubation, Innovation and Partnership, and NutriPlus Knowledge. ICRISAT through this innovative institutional model of PPP has been focusing on the development of smallholder farmers by providing them with the latest farm technologies, new seed materials and market and business linkages. Over the years, ICRISAT has evolved mechanisms in collaboration with the private sector that support these farmers directly and indirectly. These PPP initiatives have created a wider impact on society and especially farmers by linking them to markets, thereby enhancing the Inclusive Market Oriented Development (IMOD) strategy of ICRISAT.
Binary Linear ECCs Optimized for Bit Inversion in Memories with Asymmetric Error Probabilities

Many memory types are asymmetric with respect to the error vulnerability of stored 0’s and 1’s. For instance, DRAM, STT-MRAM and NAND flash memories may suffer from asymmetric error rates. A recently proposed error-protection scheme consists in the inversion of the memory words with too many vulnerable values before they are stored in an asymmetric memory. In this paper, a method is proposed for the optimization of systematic binary linear block error-correcting codes in order to maximize their impact when combined with memory word inversion.
Coordinated jogging algorithm for general serial robot architectures

The paper deals with a novel functional block for general serial robot coordinate jogging. The functional block is implemented and integrated to the functional block library of the real-time control system REXYGEN and brings new possibilities of rapid prototyping and initial testing of advanced robot architectures. The robot kinematics is described by the Denavit- Hartenberg parameters. The common jogging mode of operation (world, tool) is supported as well as user-defined coordinate frames definition for specific applications. In the case of kinematic redundancy, the internal robot motion optimization is available allowing joint position limitation and/or obstacle avoidance. Maximum allowed joint velocity is taken into account in order to cope with the kinematic singularities. Illustrative examples of the early-prototype robot for industrial inspection purposes are introduced and universality of the proposed jogging functional block is verified.