Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Improved Storage Model of Wireless Devices using the Cloud

This paper focuses on the development of new storage model by using cloud computing for mobile devises. The concept of cloud computing has been applied to mobile devices for improving the existing model (battery time and data saving) of mobile devices. In the recent eras, different types of cloud computing techniques have been used for improving the efficiency of mobile devices. The paper has combined the calibration and current launch amount characteristics with the trial results for drop in battery voltage. A mathematical equation has been derived for mote operation scenario. Through this equation, the power provide by the power supply as well as the average time of battery can be measured.
An automated system for evaluation of the potential functionome: MAPLE version 2.1.0

Metabolic and physiological potential evaluator (MAPLE) is an automatic system that can perform a series of steps used in the evaluation of potential comprehensive functions (functionome) harboured in the genome and metagenome. MAPLE first assigns KEGG Orthology (KO) to the query gene, maps the KO-assigned genes to the Kyoto Encyclopedia of Genes and Genomes (KEGG) functional modules, and then calculates the module completion ratio (MCR) of each functional module to characterize the potential functionome in the user’s own genomic and metagenomic data. In this study, we added two more useful functions to calculate module abundance and Q-value, which indicate the functional abundance and statistical significance of the MCR results, respectively, to the new version of MAPLE for more detailed comparative genomic and metagenomic analyses. Consequently, MAPLE version 2.1. 0 reported significant differences in the potential functionome, functional abundance, and diversity of contributors to each function among four metagenomic datasets generated by the global ocean sampling expedition, one of the most popular environmental samples to use with this system. MAPLE version 2.1. 0 is now available through the web interface (http://www.genome.jp/tools/maple/) 17 June 2016, date last accessed.
nup1 mutants exhibit pleiotropic defects in nuclear pore complex function

The NUP1 gene of Saccharomyces cerevisiae encodes one member of a family of nuclear pore complex proteins (nucleoporins) conserved from yeast to vertebrates. We have used mutational analysis to investigate the function of Nup1p. Deletion of either the amino- or carboxy- terminal domain confers a lethal phenotype, but partial truncations at either end affect growth to varying extents. Amino-terminal truncation causes mislocalization and degradation of the mutant protein, suggesting that this domain is required for targeting Nup1p to the nuclear pore complex. Carboxy-terminal mutants are stable but do not have wild-type function, and confer a temperature sensitive phenotype. Both import of nuclear proteins and export of poly(A) RNA are defective at the nonpermissive temperature. In addition, nup1 mutant cells become multinucleate at all temperatures, a phenotype suggestive of a defect in nuclear migration. Tubulin staining revealed that the mitotic spindle appears to be oriented randomly with respect to the bud, in spite of the presence of apparently normal cytoplasmic microtubules connecting one spindle pole body to the bud tip. EM analysis showed that the nuclear envelope forms long projections extending into the cytoplasm, which appear to have detached from the bulk of the nucleus. Our results suggest that Nup1p may be required to retain the structural integrity between the nuclear envelope and an underlying nuclear scaffold, and that this connection is required to allow reorientation of the nucleus in response to cytoskeletal forces.
Accurate Dynamic 3D Sensing With Fourier-Assisted Phase Shifting

Phase shifting profilometry (PSP) and Fourier transform profilometry (FTP) are two well-known fringe analysis methods for 3D sensing. PSP offers high accuracy but requires multiple images; FTP uses a single image but is limited in its accuracy. In this paper, we propose a novel Fourier-assisted phase shifting (FAPS) method for accurate dynamic 3D sensing. Our key observation is that the motion vulnerability of multi-shot PSP can be overcome through single-shot FTP, while the high accuracy of PSP is preserved. Moreover, to solve the phase ambiguity of complex scenes without additional images, we propose an efficient parallel spatial unwrapping strategy that embeds a sparse set of markers in the fringe patterns. Our dynamic 3D sensing system based on the above principles demonstrates superior performance over previous structured light techniques, including PSP, FTP, and Kinect.
Transforming growth factor-β3 induced rat bone marrow-derived mesenchymal stem cells differentiation into smooth muscle cells by activating Myocardin

Bone marrow mesenchymal stem cells (MSCs) can differentiate into smooth muscle cells (SMCs) and have tremendous potential for cell therapy and tissue engineering. In this study, to understand the effects of TGF-β3 on rat bone marrow-derived MSCs and the underlying molecular mechanism of this differentiation process, we investigated that the changes of myocardin-related transcription factors (MRTFs) at the transcriptional level after rat MSCs were treated with TGF-β3. The results showed that TGF-β3 increased the expression of contractile genes, such as SM22, smooth muscle-myosin heavy chain (SM- MHC), SM-α-actin in MSCs. When TGF-β3 induced MSCs differentiation into SMCs, myocardin and MRTF-A were activated. The data indicated that TGF-β3 induced rat bone marrow-derived MSCs differentiation into SMCs by activating mypcardin and MRTF-A.
Latent Membrane Protein LMP2A Impairs Recognition of EBV-Infected Cells by CD8+ T Cells

The common pathogen Epstein-Barr virus (EBV) transforms normal human B cells and can cause cancer. Latent membrane protein 2A (LMP2A) of EBV supports activation and proliferation of infected B cells and is expressed in many types of EBV-associated cancer. It is not clear how latent EBV infection and cancer escape elimination by host immunity, and it is unknown whether LMP2A can influence the interaction of EBV-infected cells with the immune system. We infected primary B cells with EBV deleted for LMP2A, and established lymphoblastoid cell lines (LCLs). We found that CD8+ T cell clones showed higher reactivity against LMP2A-deficient LCLs compared to LCLs infected with complete EBV. We identified several potential mediators of this immunomodulatory effect. In the absence of LMP2A, expression of some EBV latent antigens was elevated, and cell surface expression of MHC class I was marginally increased. LMP2A-deficient LCLs produced lower amounts of IL-10, although this did not directly affect CD8+ T cell recognition. Deletion of LMP2A led to several changes in the cell surface immunophenotype of LCLs. Specifically, the agonistic NKG2D ligands MICA and ULBP4 were increased. Blocking experiments showed that NKG2D activation contributed to LCL recognition by CD8+ T cell clones. Our results demonstrate that LMP2A reduces the reactivity of CD8+ T cells against EBV-infected cells, and we identify several relevant mechanisms.
Microbial diversity on Icelandic glaciers and ice caps

Algae are important primary colonizers of snow and glacial ice, but hitherto little is known about their ecology on Iceland's glaciers and ice caps. Due do the close proximity of active volcanoes delivering large amounts of ash and dust, they are special ecosystems. This study provides the first investigation of the presence and diversity of microbial communities on all major Icelandic glaciers and ice caps over a 3 year period. Using high-throughput sequencing of the small subunit ribosomal RNA genes (16S and 18S), we assessed the snow community structure and complemented these analyses with a comprehensive suite of physical-, geo-, and biochemical characterizations of the aqueous and solid components contained in snow and ice samples. Our data reveal that a limited number of snow algal taxa (Chloromonas polyptera, Raphidonema sempervirens and two uncultured Chlamydomonadaceae) support a rich community comprising of other micro-eukaryotes, bacteria and archaea. Proteobacteria and Bacteroidetes were the dominant bacterial phyla. Archaea were also detected in sites where snow algae dominated and they mainly belong to the Nitrososphaerales, which are known as important ammonia oxidizers. Multivariate analyses indicated no relationships between nutrient data and microbial community structure. However, the aqueous geochemical simulations suggest that the microbial communities were not nutrient limited because of the equilibrium of snow with the nutrient-rich and fast dissolving volcanic ash. Increasing algal secondary carotenoid contents in the last stages of the melt seasons have previously been associated with a decrease in surface albedo, which in turn could potentially have an impact on the melt rates of Icelandic glaciers.
Searching for Related Objects in Relational Databases

To discover knowledge or retrieve information from a relational database, a user often needs to find objects related to certain source objects. There are two main challenges in building an effective object search system: the huge amount of objects in the database and the large number of different relationships between objects. In this paper we introduce Ross, an efficient and accurate relational object search system. Ross accepts complex queries that enable users to specify the relationships among objects. To measure the relationships of join paths, Ross considers the different semantics of different joins, and combines both selectivity and lengths of join paths to measure their strengths. A novel approach is used to find the best join paths between relations, which converts the database schema into a graph, so that the shortest paths in the graph correspond to best join paths in the database. Ross uses a stream-based system architecture to handle complex queries containing logical operators, which can find the most related objects upon users’ requests. Comprehensive experiments are conducted to show the high scalability and effectiveness of Ross.
A 1-Volt CMOS Op Amp Using Bulk-Driven MOSFETs

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LOCALIZATION OF ADENOSINE TRIPHOSPHATASE ACTIVITY IN THE RAT SPERM TAIL AS REVEALED BY ELECTRON MICROSCOPY

The epididymides of rat testis were fixed in glutaraldehyde and cut as frozen sections. The sections were incubated in lead nitrate solution containing as a substrate either ATP, AMP, creatinine phosphate, beta glycerophosphate, or phenyl phosphate. Then they were postfixed in osmium tetroxide, embedded, sectioned, and examined with the electron microscope. In the sperm tail, when ATP is used as a substrate the reaction product (lead phosphate) is observed both in the tail filament complex and on the surface membrane of the mitochondrial helix of the middle piece. In the tail filament complex, this product is seen near the nine paired peripheral and two central filaments, and in the matrix between the outer coarse fibers. But the product is not observed within these filaments and fibers. In longitudinal sections, no periodicity of the deposits in the complex is observed. When the other phosphate compounds are used as substrates the reaction products appear on the surface membrane of the mitochondrial helix, and are not found in the tail filament complex. No distinctly different localization of the reaction products is observed when substrates other than ATP are used. Possible relationships between the structure and the function of the sperm tail are discussed in the light of these findings.
Augmenting Elasticity Controllers for Improved Accuracy

Elastic resource provisioning is used to guarantee service level objectives (SLO) at reduced cost in a Cloud platform. However, performance interference in the hosting platform introduces uncertainty in the performance guarantees of provisioned services. Existing elasticity controllers are either unaware of this interference or over-provision resources to meet the SLO. In this paper, we show that assuming predictable performance of VMs in a multi-tenant environment to scale, will result in long periods of SLO violations. We augment the elasticity controller to be aware of interference and improve the convergence time of scaling without over provisioning. We perform experiments with Memcached and compare our solution against a baseline elasticity controller that is unaware of performance interference. Our results show that augmentation can reduce SLO violations by 65% or more and also save provisioning costs compared to an interference oblivious controller.
Should You Adopt Open Source Software?

Many organizations use open source infrastructure software such as Linux, and open source software (OSS) is generally considered a viable technology. Both professional and academic literature devote much attention to the OSS phenomenon. However, decision makers considering the adoption of OSS face a plethora of books, research papers, and articles highlighting OSS's advantages and disadvantages. Different articles attach different levels of importance to these advantages or factors related to the adoption decision. Reasons for adopting OSS vary from the pragmatic. Organizations must consider the advantages and disadvantages of open source software before adopting it.
Fast surface integral equation methods for the optimization of nanoantennas

Optical connections will become a key point in the next generation of integrated circuits, namely the outcoming nano-scale optical chips. In this context, nano-optical wireless links using nanoantennas have been presented as a promising alternative to regular plasmonic waveguide links, whose main limitation is the range propagation due to the metal absorption losses. In this paper we present the complete design of a high capability wireless nano-link using directive nanoantennas. It will be shown how the use of directive nanoantennas clearly enhances the capability of the link, improving its behavior with respect to non-directive nanoantennas and largely outperforming regular plasmonic waveguide connects.
Towards real-time profiling of human attackers and bot detection

Characterising the person behind a cyber attack can be highly useful. At a practical security and forensic level, it can help profile adversaries during and after an attack, and at a theoretical level it can allow us to build improved threat models. This is, however, a challenging problem, as relevant data cannot easily be found. They are not often released publicly and may be the result of criminal investigation. Moreover, the identity of an attacker is rarely revealed in an attack. Here, we attempt a rather unusual approach. We attempt to classify the adversary as a type of human user, arguing that if it does not fit in any realistic profile of a human user, then it is probably a bot. Hence, we are working towards a system that is both a human attacker profiler and an anomaly-based bot detector. For this, we first need to build a technical system that collects relevant data in real- time. As no such information exists, we experimented with several different measurable input data and human profile characteristics, evaluating the usefulness of the former in determining the latter. We then present a case-based reason- ing approach that classifies an attacker based on the values of these metrics. For this, we use experimental data that we have previously collected and are the result of a set of cyber-attack scenarios carried out by 87 users. As a practical application, we have developed an automated profiling tool demonstrating the potential real-time use of the proposed system in a quasi-realistic setting. We discuss this approach’s ability for an adversary that has already gained access to a target system. The profile identified should tell us the characteristics of the adversary if it is human. If no profile can be identified, we argue that this is a good indication it is a bot.
A prototype model for data warehouse security based on metadata

Gives an overview of security relevant aspects of existing OLAP/Data Warehouse solutions, an area which has seen rather little interest from product developers and is only beginning to be discussed in the research community. Following this description of the current situation, a metadata driven approach implemented as part of the WWW-EIS-DWH project is presented in detail. The prototype focuses on the technical realisation and is intended not to be open for use in different security policies.
Borehole climatology: a discussion based on contributions from climate modeling

Abstract. Progress in understanding climate variability through the last millennium leans on simulation and reconstruction efforts. Exercises blending both approaches present a great potential for answering questions relevant both for the simulation and reconstruction of past climate, and depend on the specific peculiarities of proxies and methods involved in climate reconstructions, as well as on the realism and limitations of model simulations. This paper explores research specifically related to paleoclimate modeling and borehole climatology as a branch of climate reconstruction that has contributed significantly to our knowledge of the low frequency climate evolution during the last five centuries. The text flows around three main issues that group most of the interaction between model and geothermal efforts: the use of models as a validation tool for borehole climate reconstructions; comparison of geothermal information and model simulations as a means of either model validation or inference about past climate; and implications of the degree of realism on simulating subsurface climate on estimations of future climate change. The use of multi-centennial simulations as a surrogate reality for past climate suggests that within the simplified reality of climate models, methods and assumptions in borehole reconstructions deliver a consistent picture of past climate evolution at long time scales. Comparison of model simulations and borehole profiles indicate that borehole temperatures are responding to past external forcing and that more realism in the development of the soil model components in climate models is desirable. Such an improved degree of realism is important for the simulation of subsurface climate and air-ground interaction; results indicate it could also be crucial for simulating the adequate energy balance within climate change scenario experiments.
Effects of Self-Evaluation Threat on Schadenfreude Toward Strangers in a Reality TV Show

Schadenfreude toward strangers in a reality TV show may be affected by self-evaluation threat. This study extends previous work by adding a control group to positive and negative feedback groups in order to investigate the effects of self-evaluation threat. Sex of the target of schadenfreude and schadenfroh participant was considered. Among undergraduate students screened for low general self-esteem, 31 men (M = 20.3 ± 1.6 years old) and 59 women (M = 20.0 ± 1.2 years old) volunteered to participate. Participants performed a simple calculation task, and then received negative, positive, or no feedback regarding the task before completing the State Self-Esteem Scale and watching videos taken from American Idol that showed an applicant being criticized by judges. After watching videos, participants completed items related to schadenfreude. There were no differences in schadenfreude toward strangers between the three feedback groups. In addition to the Japanese tendency of reduced self-enhancement in self-threatening situations, targets with no psychological closeness may also explain the lack of a relationship between self-evaluation threat and schadenfreude.
The Estimate of Kinetic Power of Jets in FR II Radio Galaxies: Existence of Invisible Components?

We investigate the total kinetic power (Lj) and age (tage) of powerful jets in FR II radio galaxies by comparison of the dynamical model of expanding cocoons with observations. We select four FR II radio sources (Cygnus A, 3C 223, 3C 284, and 3C 219), for which the mass-density profiles of the intracluster medium (ICM) are known in the literature. It is found that large fractions ≳0.02-0.7 of the Eddington luminosity (LEdd) are carried away as kinetic power of jets. The upper limit of estimated 2Lj/LEdd is larger than unity (≲10) for some sources, suggesting the possibility of super-Eddington mass accretions. As a consequence of the large powers, we also find that the total energy stored in the cocoon (Ec) exceeds the energy derived from the minimum energy condition for the energy of radiating nonthermal electrons and magnetic fields (Emin): 4 < Ec/Emin < 310. This implies that most of the energy in the cocoon is carried by invisible components such as thermal leptons (electron and positron) and/or protons.
Bengali Noun Morphological Analyzer

This paper describes a linguistics approach towards development of a Bengali Noun Morphological Analyzer implemented at first on the semi-manually created database of 87697 inflected words list tokens, i.e. Input2 for Linguistics Resource Creation comprising of Noun, Pronoun, Adjective roots with and without its suffixes. Then after the first implementation the developed Linguistic Resource knowledge is applied on an unknown Bengali corpus database containing 6157 tokens. At the initial stage of this research a linguistic analysis is done which leads to framing of the nominal suffix list which is later on used in nominal suffix extraction. This linguistic knowledge is implemented in developing the finite-state transducer grammar for Linguistic Resource which gives way to the development of Bengali Noun Morphological Analyzer. The final output obtained is around 44% accuracy. This accuracy can be always improved with time if we keep on increasing the nominal roots in the FST grammar file.