Miracle-dz/UniFAR-FTUs huggingface dataset:
Gauge/Gravity Duality and Hadron Physics at the Light-Front

We discuss some remarkable features of the light‐front holographic mapping of classical gravity in anti‐de Sitter space modified by a confining dilaton background. In particular, we show that a positive‐sign dilaton solution exp(+κ2z2) has better chances to describe the correct hadronic phenomenology than the negative solution exp(−κ2z2) extensively studied in the literature. We also show that the use of twist‐scaling dimensions, instead of canonical dimensions, is required to give a good description of the spectrum and form factors of hadrons. Another key element is the explicit connection of AdS modes of total angular momentum J with the internal structure of hadrons and the proper identification of the orbital angular momentum of the constituents.
Low voltage LNA implementations in 28 nm FD-SOI technology for GNSS applications

In this paper a comparison of four low noise amplifiers (LNAs), designed in fully depleted SOI 28 nm technology, has been presented. The objective of the presented work was to verify the usability of all kinds of MOSFET transistors that are available in UTBB for RF analog designs. The inductively degenerated cascodes were used in simulations. Such topology achieves high gain and low noise figure (NF). Simulated amplifiers were designed for a high sensitivity GNSS receiver, which operates in the Galileo/GPS E1/L1 band. The implemented circuits demonstrate the gain of 22.3 dB and the consumption current of 2.5 mA, with NF equal to 1.92 dB. For all amplifiers the supply voltage is 0.6 V and the silicon die estimated area is equal to 0.7 mm2.
The Coprinopsis cinerea Tup1 homologue Cag1 is required for gill formation during fruiting body morphogenesis

ABSTRACT The pileus (cap) of the fruiting body in homobasidiomycete fungi bears the hymenium, a layer of cells that includes the basidia where nuclear fusion, meiosis and sporulation occur. Coprinopsis cinerea is a model system for studying fruiting body development. The hymenium of C. cinerea forms at the surface of the gills in the pileus. In a previous study, we identified a mutation called cap-growthless1-1 (cag1-1) that blocks gill formation, which yields primordia that never mature. In this study, we found that the cag1 gene encodes a homologue of Saccharomyces cerevisiae Tup1. The C. cinerea genome contains another Tup1 homologue gene called Cc.tupA. Reciprocal tagging of Cag1 and Cc.TupA with green and red fluorescent proteins revealed that the relative ratios of the amounts of the two Tup1 paralogues varied among tissues. Compared with Cc.TupA, Cag1 was preferentially expressed in the gill trama tissue cells, suggesting that the function of Cag1 is required for gill trama tissue differentiation and maintenance. Yeast two-hybrid analysis and co-localisation of Cag1 and Cc.TupA suggested that Cag1 interacts with Cc.TupA in the nuclei of certain cells. Summary: Cag1, a Tup1 homologue in Coprinopsis cinerea, is required for gill formation in fruiting body development and is highly expressed in the central region of gills.
Activation of cannabinoid receptors prevents antigen-induced asthma-like reaction in guinea pigs

In this study we evaluated the effects of the CB1/CB2 cannabinoid receptor agonist CP55, 940 (CP) on antigen‐induced asthma‐like reaction in sensitized guinea pigs and we tested the ability of the specific CB2 receptor antagonist SR144528 (SR) and CB1 receptor antagonist AM251 (AM) to interfere with the effects of CP. Ovalbumin‐sensitized guinea pigs placed in a respiratory chamber were challenged with the antigen given by aerosol. CP (0.4 mg/kg b.wt.) was given i.p. 3 hrs before ovalbumin challenge. Sixty minutes before CP administration, some animals were treated i.p. with either AM, or SR, or both (0.1 mg/kg b.wt.). Respiratory parameters were recorded and quantified. Lung tissue specimens were then taken for histopathological and morphometric analyses and for eosinophilic major basic protein immunohistochemistry. Moreover, myeloperoxidase activity, 8‐hydroxy‐2‐deoxyguanosine, cyclic adenosine monophosphate (cAMP) and guanosine monophosphate (cGMP) levels, and CB1 and CB2 receptor protein expression by Western blotting were evaluated in lung tissue extracts. In the bronchoalveolar lavage fluid, the levels of prostaglandin D2 and tumour necrosis factor‐α TNF‐α were measured. Ovalbumin challenge caused marked abnormalities in the respiratory, morphological and biochemical parameters assayed. Treatment with CP significantly reduced these abnormalities. Pre‐treatment with SR, AM or both reverted the protective effects of CP, indicating that both CB1 and CB2 receptors are involved in lung protection. The noted treatments did not change the expression of cannabinoid receptor proteins, as shown by Western blotting. These findings suggest that targeting cannabinoid receptors could be a novel preventative therapeutic strategy in asthmatic patients.
Spatio-Temporal Load Balancing for Energy Cost Optimization in Distributed Internet Data Centers

Cloud computing is powered by an engine known as Internet data center (IDC). As cloud computing flourishes, the energy consumption and cost for IDCs are soaring. The energy cost minimization problem for IDCs in deregulated electricity markets has generated growing interest. In this paper we study how to leverage both the geographic and temporal variation of energy price to minimize energy cost for distributed IDCs. We propose a novel architecture and two algorithms for unified spatial and temporal load balancing. Rigorous analysis shows that our algorithms have a low computational complexity, require a relaxed accuracy in electricity price estimation, and guarantee a service completion time for user requests. Using real-life electricity price and workload traces, extensive evaluations demonstrate that compared to the schemes using either spatial load balancing or temporal load balancing alone, the proposed spatio-temporal load balancing method significantly reduces energy cost for distributed IDCs.
Soliton Solutions for the Random-time Toda Equation

respectively. Equation (1) or (2) reduces to the discrete-time Toda equation proposed by Hirota [2] when λt is a constant. Equation (1) was proposed by Spiridonov and Zhedanov in [13], where the equation is called as just “discrete Toda lattice”. On the other hand, equation (2) was proposed by Hirota [5], and called as “the random-time Toda equation”, since the arbitrary function δt corresponds to the lattice interval with respect to time. In this article, we shall use the latter name, since the former name is usually used for the case where λt is a constant. The random-time Toda equation is written in the Lax form L n R t+1 n + λt+1 = R t nL t n + λt, (4) where Ln and R t n are difference operators defined by R n = e ∂n +Atn, L t n = 1 +B t ne −∂n , (5)
Multivariate filter and PSO in protein function classification

Protein features are often complex, and they are challenging to classify. In identifying the most discriminatory features in protein sequences, we propose a new feature-selection strategy by integrating the multivariate filter and Particle Swarm Optimisation (PSO) algorithms. Experimental results, based on the number of reducts and classification accuracy, were analysed in both the filter and wrapper phases. For our dataset, the proposed method statistically significantly improves the obtained classification accuracy and reduces the number of feature subsets. In the filter phase, the accuracy is improved more than 4% in three out of four multivariate feature selection methods compared to a model without feature selection. In the second phase, the accuracy is increased from 97.51% to 100%. We also demonstrate the importance of the correct parameter settings in the PSO to guarantee good performance.
Influence of electron injection on the temporal response of ZnO homojunction photodiodes

The effects of solid-state electron injection on the peak amplitude and decay time of photosignal in a ZnO-based homojunction UV photodiode were studied using temporal photoresponse measurements under femtosecond pulses of 355nm radiation. The injection of about 50C of charge, carried out by applying forward bias to the junction, resulted in a nearly twofold increase of the peak photoresponse and a corresponding increase of the decay constant. Both observations are shown to be a consequence of electron trapping. The long-term stability of the induced changes is also discussed.
Ownership Economics: On the Foundations of Interest, Money, Markets, Business Cycles and Economic Development

Ownership Economics: an introduction Frank Decker Ownership Economics: On the Foundations of Interest, Money, Markets, Business Cycles and Economic Development Gunnar Heinsohn and Otto Steiger Preface to the first German edition of Ownership Economics 1. Possession and Ownership: use of goods versus economic activity 2. The blindness of the great schools of economics towards ownership 3. The economic core of the ownership system: interest, money and property assets 4. The market as the result of the ownership-based economy 5. Issues associated with ownership in developming and transformation countries
An intentional framework improves memory for a robot's actions

Although a number of recent studies have explored people's concepts about robots, almost no research has tested the degree to which these concepts affect people's capacity to understand and remember a robot's actions. In this study, we tested whether a narrative describing a robot performing basic intentional acts would be easier to remember than a narrative that described similar non-intentional actions. Participants read one of two stories about a robot in which it was either described as having intentional or non-intentional mental representations. Participants who read about the intentional robot were more likely to recall information about the robotic agent, but there was no difference between the two groups in accuracy for questions unrelated to the agent. Additionally, participants who read about the intentional robot were marginally more likely to falsely recall a non-present object that was similar to the objects that the robot did interact with. We conclude that beliefs about a robot affect encoding and recall of its actions, possibly due to a focus on the type of information the agent is believed to “mentally” represent.
Clustering based-on indiscernibility and indiscernibility level

The core concept of classical rough sets are clustering similarities and dissimilarities of objects based on the notions of indiscernibility and discernibility. In this paper, we present a new method of clustering data based on the combination of indiscernibility and its indiscernibility level. The indiscernibility level quantifies the indiscernibility of pairs of objects among other objects in information systems. The result of this paper show the dual notions of indiscernibility and its indiscernibility level play an important role in clustering information systems.
Nonstationary job search environment and UI : A tale of heterogeneous responses ∗

We take advantage of a quasi-experimental setting to test some predictions of standard nonstationary job search models. The fact that the unemployed differ in terms of their labor market positions elicits heterogeneous responses to an extension of the unemployment insurance (UI) entitlement period; our empirical exercise focus on such possibility. The results lend support to the theoretical predictions. The increase in the UI entitlement period has a larger impact at durations closer to the extension period. We find also that workers with ex-ante lower probability of long-term unemployment react the least to an increase in the duration of UI benefits; in the data, these are typically low wage workers. The results demonstrate also that, conditional on the unemployed’s labor market position, those with more binding liquidity constraints react the most to the extension, a result in line with the liquidity effect of UI.
Daily Traffic Flow from Short Period Counts

M onitoring traffic flows on local arterial streets in an urban area is important for traffic planning, design, and operations, as well as for conducting research and serving the needs of the local business community. The cost of monitoring traffic flows can be reduced by increasing the number of count stations and by using statistical methods to estimate traffic volumes. The type of traffic volume information most often used is average annual daily traffic (AADT). AADT is defined as total yearly traffic volume divided by the number of days in the year. AADT data are used for: ( 1) highway planning activities, such as development of freeway systems and major arterial street systems, selection of through streets, and selection of the best route for a new facility or improvement; (2) highway programming to determine the need for and priority of street improvement; (3) measuring the present demand for service by the street or highway; and (4) evaluating the present traffic flow with respect to the existing street or highway system. ’ Methods for collecting traffic counts vary widely, ranging from mechanical fixed counters to electric contact, photoelectric, radar, and magnetic devices. There are many problems associated with each of these methods, including equipment theft and damage, vandalism, and human error. The effectiveness of these different counting methods to produce AADT has received little attention in the past. In this article, the focus is on using counts to estimate AADT values. The issue of shortening counting intervals was raised in early 1980 by Phillips and Blake in the United Kingdom. ’ The application of this method to cities in the United States could reduce the cost of counting traffic volumes. Phillips and Blake defined a short count as one continuous count of traffic at a site for a period of less than 24 hours. Therefore, a two-stage process is utilized to estimate a daily and an annual flow from a short period count. The short period count is first expanded to the daily total and then expanded to the annual total. The process for the expansion is based on a ratio method where the expansion factors are expressed as a ratio of traffic flows. For example, the ratio of AADT at a particular station to the monthly counts at the same station gives the monthly expansion factors at that station.
Improving the Absolute Astrometry of HST Data with GSC-II

We have used the new GSC-II to significantly improve the absolute astrometric accuracy of a large number of ACS datasets from the first years of ACS operations, reducing the initial levels of uncertainty (typically 1 2”, or more in some cases) to an accuracy of about 0.1 0.3”. There are typically enough GSC-II objects in the field of view of the ACS/WFC detectors to enable a robust solution to be determined by identifying the GSC-II objects and comparing their measured positions with those in the GSC-II. The resulting set of improved header coordinates are accurate enough to permit immediate multi-band comparisons between data from HST and other space-based and ground-based facilities, as well as a range of wavebands including X-ray, mid-IR, and radio data. The Institute has also begun planning to extend this work by including it in the automatic processing pipeline for ACS and eventually perhaps also for other HST instruments.
Enhancing iris recognition system performance

Biometrics has become more and more important in security applications. In comparison with many other biometrie features, iris recognition has very high recognition accuracy. Successful iris recognition matching depends on how similar the stored template in database is compared with the introduced template. The main objective of this paper is to introduce a high performance scheme for iris recognition system in which a set of iris images of a given eye are fused to generate a final template. This will not only reduce the storage capacity requirements but also enhance the system's speed during the matching process. The performance of both the proposed algorithm and the overall system will be assessed
Characterization of homologous sphingosine-1-phosphate lyase isoforms in the bacterial pathogen Burkholderia pseudomallei[S]

Sphingolipids (SLs) are ubiquitous elements in eukaryotic membranes and are also found in some bacterial and viral species. As well as playing an integral structural role, SLs also act as potent signaling molecules involved in numerous cellular pathways and have been linked to many human diseases. A central SL signaling molecule is sphingosine-1-phosphate (S1P), whose breakdown is catalyzed by S1P lyase (S1PL), a pyridoxal 5′-phosphate (PLP)-dependent enzyme that catalyzes the cleavage of S1P to (2E)-hexadecenal (2E-HEX) and phosphoethanolamine. Here, we show that the pathogenic bacterium, Burkholderia pseudomallei K96243, encodes two homologous proteins (S1PL2021 and S1PL2025) that display moderate sequence identity to known eukaryotic and prokaryotic S1PLs. Using an established MS-based methodology, we show that recombinant S1PL2021 is catalytically active. We also used recombinant human fatty aldehyde dehydrogenase to develop a spectrophotometric enzyme-coupled assay to detect 2E-HEX formation and measure the kinetic constants of the two B. pseudomallei S1PL isoforms. Furthermore, we determined the X-ray crystal structure of the PLP-bound form of S1PL2021 at 2.1 Å resolution revealing that the enzyme displays a conserved structural fold and active site architecture comparable with known S1PLs. The combined data suggest that B. pseudomallei has the potential to degrade host SLs in a S1PL-dependent manner.
Improved classification association rule mining

Classification aims to define an abstract model of a set of classes, called classifier, which is built from a set of labeled data, the training set. However, in large or correlated data sets, association rule mining may yield huge rule sets. Hence several pruning techniques have been proposed to select a small subset of high-quality rules. Since the availability of a “rich” rule set may improve the accuracy of the classifier, we argue that rule pruning should be reduced to a minimum. A small subset of high-quality rules is first considered. When this set is not able to classify the data, a larger rule set is exploited. This second set includes rules usually discarded by previous approaches. To cope with the need of mining large rule sets and to efficiently use them for classification, a compact form is proposed to represent a complete rule set in a space-efficient way and without information loss. An extensive experimental evaluation on real and synthetic data sets shows that improves the classification accuracy with respect to previous approaches.
Quantitative discrimination of MEF2 sites

Myocyte-specific enhancer factor 2 (MEF2) is a family of closely related transcription factors that play a key role in the differentiation of muscle tissues and are important in the muscle-specific expression of a number of genes. Given the centrality of MEF2 in muscle differentiation, regulatory regions newly determined to be muscle specific are often studied for potential MEF2 binding sites. Possible sites are often located by comparison to a homologous gene or by matching to the consensus MEF2 sequence. Enough data have accumulated that a richer description of the MEF2 binding site, a position weight matrix, can be reliably constructed and its usefulness can be assessed. It was shown that scores from such a matrix approximate MEF2 binding energy and enable recognition of naturally occurring MEF2 sites with high sensitivity and specificity. Regulation of genes via MEF2-like sites is complicated by the fact that a number of transcription factors are involved. Not only is MEF2 itself a family of proteins, but several other, nonhomologous, transcription factors overlap MEF2 in DNA-binding specificity. Thus, more quantitative methods for recognizing potential sites may help with the lengthy process of disentangling the complex regulatory circuits of muscle-specific expression.
Word Embedding based Generalized Language Model for Information Retrieval

Word2vec, a state-of-the-art word embedding technique has gained a lot of interest in the NLP community. The embedding of the word vectors helps to retrieve a list of words that are used in similar contexts with respect to a given word. In this paper, we focus on using the word embeddings for enhancing retrieval effectiveness. In particular, we construct a generalized language model, where the mutual independence between a pair of words (say t and t') no longer holds. Instead, we make use of the vector embeddings of the words to derive the transformation probabilities between words. Specifically, the event of observing a term t in the query from a document d is modeled by two distinct events, that of generating a different term t', either from the document itself or from the collection, respectively, and then eventually transforming it to the observed query term t. The first event of generating an intermediate term from the document intends to capture how well does a term contextually fit within a document, whereas the second one of generating it from the collection aims to address the vocabulary mismatch problem by taking into account other related terms in the collection. Our experiments, conducted on the standard TREC collection, show that our proposed method yields significant improvements over LM and LDA-smoothed LM baselines.
A Component of the Xanthomonadaceae Type IV Secretion System Combines a VirB7 Motif with a N0 Domain Found in Outer Membrane Transport Proteins

Type IV secretion systems (T4SS) are used by Gram-negative bacteria to translocate protein and DNA substrates across the cell envelope and into target cells. Translocation across the outer membrane is achieved via a ringed tetradecameric outer membrane complex made up of a small VirB7 lipoprotein (normally 30 to 45 residues in the mature form) and the C-terminal domains of the VirB9 and VirB10 subunits. Several species from the genera of Xanthomonas phytopathogens possess an uncharacterized type IV secretion system with some distinguishing features, one of which is an unusually large VirB7 subunit (118 residues in the mature form). Here, we report the NMR and 1.0 Å X-ray structures of the VirB7 subunit from Xanthomonas citri subsp. citri (VirB7XAC2622) and its interaction with VirB9. NMR solution studies show that residues 27–41 of the disordered flexible N-terminal region of VirB7XAC2622 interact specifically with the VirB9 C-terminal domain, resulting in a significant reduction in the conformational freedom of both regions. VirB7XAC2622 has a unique C-terminal domain whose topology is strikingly similar to that of N0 domains found in proteins from different systems involved in transport across the bacterial outer membrane. We show that VirB7XAC2622 oligomerizes through interactions involving conserved residues in the N0 domain and residues 42–49 within the flexible N-terminal region and that these homotropic interactions can persist in the presence of heterotropic interactions with VirB9. Finally, we propose that VirB7XAC2622 oligomerization is compatible with the core complex structure in a manner such that the N0 domains form an extra layer on the perimeter of the tetradecameric ring.