Miracle-dz/UniFAR-FTUs huggingface dataset:
The extended loops of ribosomal proteins uL4 and uL22 of Escherichia coli contribute to ribosome assembly and protein translation

Nearly half of ribosomal proteins are composed of a domain on the ribosome surface and a loop or extension that penetrates into the organelle's RNA core. Our previous work showed that ribosomes lacking the loops of ribosomal proteins uL4 or uL22 are still capable of entering polysomes. However, in those experiments we could not address the formation of mutant ribosomes, because we used strains that also expressed wild-type uL4 and uL22. Here, we have focused on ribosome assembly and function in strains in which loop deletion mutant genes are the only sources of uL4 or uL22 protein. The uL4 and uL22 loop deletions have different effects, but both mutations result in accumulation of immature particles that do not accumulate in detectable amounts in wild-type strains. Thus, our results suggest that deleting the loops creates kinetic barriers in the normal assembly pathway, possibly resulting in assembly via alternate pathway(s). Furthermore, deletion of the uL4 loop results in cold-sensitive ribosome assembly and function. Finally, ribosomes carrying either of the loop-deleted proteins responded normally to the secM translation pausing peptide, but the uL4 mutant responded very inefficiently to the cmlAcrb pause peptide.
Unsupervised learning of morphology in the USSR

This article deals with an important task for the processing of morphologically rich languages. Unsupervised learning of morphology mainly consists of learning a grammar that enables word segmentation into morphemes without any prior knowledge of the analysed language. It is usually assumed that the origins of such a task date back to the times of Zellig Harris, an assumption which ignores the important contribution of his contemporary, the Soviet linguist Nikolaj Dmitrievic Andreev, who developed a statistico-combinatorial model to learn morphology in the 1960s. We propose a critical description of Andreevs model and attempt to bring to light its pioneering aspects as well as its weaknesses. Finally, we show results over several European languages. Our implementation of the model can be downloaded from https://github.com/franckbrl/stat_comb_model.
Filtering Unwanted Messages from Online Social Networks (OSN) using Rule Based Technique

Online Social Networks (OSNs) are today one of the most popular interactive medium to share, communicate, and distribute a significant amount of human life information. In OSNs, information filtering can also be used for a different, more responsive, function. This is owing to the fact that in OSNs there is the possibility of posting or commenting other posts on particular public/private regions, called in general walls. Information filtering can therefore be used to give users the ability to automatically control the messages written on their own walls, by filtering out unwanted messages. OSNs provide very little support to prevent unwanted messages on user walls. For instance, Facebook permits users to state who is allowed to insert messages in their walls (i.e., friends, defined groups of friends or friends of friends). Though, no content-based partialities are preserved and therefore it is not possible to prevent undesired communications, for instance political or offensive ones, no matter of the user who posts them. To propose and experimentally evaluate an automated system, called Filtered Wall (FW), able to filter unwanted messages from OSN user walls. Index terms-Information filtering, online social networks, Short text classification, policy-based personalization
Computation of the quantum effects due to a four-dimensional pseudoparticle

A detailed quantitative calculation is carried out of the tunneling process described by the Belavin-PolyakovSchwarz-Tyupkin field configuration. A certain chiral symmetry is violated as a consequence of the AdlerBell-Jackie anomaly. The collective motions of the pseudoparticle and all contributions from single loops of scalar, spinor, and vector fields are taken into account. The result is an effective interaction Lagrangian for the spinors.
Prolonged Dyspnea after Interscalene Block: Attributed to Undiagnosed Addison's Disease and Myasthenia Gravis

This report describes a patient who had a series of daily interscalene nerve blocks to treat pain following a shoulder manipulation for postsurgical stiffness. She experienced acute respiratory compromise that persisted for many weeks. All typical and unusual causes of these symptoms were ruled out. Her treating pulmonologist theorized that the ipsilateral carotid body had been injured. However, it was subsequently determined that the constellation of symptoms and their prolonged duration were best explained by a poor stress response from Addison's disease coupled with exacerbation of early onset myasthenia gravis. This patient's case is not a typical reaction to interscalene nerve blocks, and thus preoperative testing would not be recommended for myasthenia gravis or Addison's disease without underlying suspicion. We describe this report to inform physicians to consider a workup for these diagnoses if a typical workup rules out all usual causes of complications from an interscalene block.
A BPMO Based Semantic Business Process Modelling Environment

The SUPER project presents a novel approach to BPM by using Semantic Web and Semantic Web Services. Existing processes can be augmented with semantic annotations, so that formal reasoning tech- niques can be applied for discovery, composition, mediation and execu- tion of business processes. This paper introduces a modelling environ- ment that supports the SUPER approach to Semantic BPM.
Comparative immune responses to candidate arthritogenic bacteria do not confirm a dominant role for Klebsiella pneumonia in the pathogenesis of familial ankylosing spondylitis.

OBJECTIVE Using humoral immune responses, Klebsiella pneumoniae has been implicated as a candidate microbial trigger in ankylosing spondylitis (AS) by several investigators but refuted by others. The objective of this case-control study was to compare the cellular (T-cell proliferation) and humoral (IgG and IgA, by ELISA) immune responses of affected individuals in multiplex AS families with those of unaffected family members and normal healthy controls in order to find out whether affected individuals exhibit a predominant immune response to K. pneumoniae. METHODS Twenty-five families with two or more individuals affected with AS and 34 normal healthy controls matched with the affected family members for age, sex and ethnicity were enrolled in the study. All affected (n = 57) and unaffected (n = 37) family members had a detailed clinical evaluation. Peripheral blood was drawn to determine T-lymphocyte proliferation and the IgG and IgA (by ELISA analysis) immune responses to K. pneumoniae, Salmonella typhimurium, Yersinia enterocolitica and Chlamydia trachomatis. Immune responses to each of the four candidate organisms were compared in affected and unaffected individuals. Each individual was classified by the predominant antigenic immune response that they showed when comparison was made among the same concentrations of the four candidate microbial antigens. This stratification was then used (i) to compare immune responses in affected and unaffected family members and (ii) to compare clinical characteristics of affected family members. RESULTS There was no difference in mean stimulation indices or antibody responses between affected and unaffected family members for each of the candidate organisms. In terms of predominant cellular immune responses to these organisms, there was no difference between affected and unaffected family members with respect to K. pneumoniae, C. trachomatis or Y. enterocolitica. However, a higher percentage of affected family members (25.9%) exhibited a predominant response to S. typhimurium compared with unaffected family members (5.9%, P < 0.02). In assessing antibody titres, K. pneumoniae was the predominant amongst these four organisms, but there was no difference between affected family members, unaffected family members and normal healthy controls. There was no relationship between immune responses and clinical characteristics. CONCLUSION Our analysis of affected and unaffected family members in familial AS demonstrated no significant differences with respect to cellular or humoral immune responses to K. pneumoniae and three control microbes. In addition, K. pneumoniae did not exhibit a predominant immune response in affected individuals. Thus we find no supportive evidence to implicate a causal role for K. pneumoniae in familial AS.
Inferring network properties from fixed-choice design with strong and weak ties

Studies of networked systems typically begin by obtaining information about the network structure. In many settings it is impractical or impossible to directly observe the network, and sampling is used. Sampling the structure of offline social networks is especially costly and time-consuming. Respondents are asked to name close friends and acquaintances (strong and weak ties). However, because a person may have a large number of acquaintances, surveys use a fixed-choice design where respondents are asked to name a small, fixed number of their weak ties. Surprisingly, studies based on fixed-choice designs then directly use the network derived from the responses without correcting for the bias introduced by fixed-choice sampling. In this paper we demonstrate how to account for fixed-choice sampling when inferring network characteristics. Our approach is based on the generalized method of moments. We verify the accuracy of our results via simulation and discuss immediate applications and consequences of our work to existing results.
Using functional analysis to determine treatment for reading fluency and recalls of five elementary students with disabilities

This study was conducted to detennine the effects using functional analysis as a method to determine a best intervention program for improving oral reading fluency. The subjects were S elementary boys with leaming or developmental disabilities enrolled in public school. The study took place in a resource room within the context of ongoing reading instruction. Throughout the study, the students worked individually in the back of the room with the experimenter for about S minutes per day. Following a two-session baseline condition, four brief conditions were administered for the purpose of testing. These included: (a) repeated reading; (b) repeated reading with easier materials; (c) listening passage preview; and (d) listening passage preview with easier materials. Hypotheses regarding effective treatment were then tested in an extended analysis. Finally, the selected best interventions were implemented and their effectiveness was monitored across time. During all sessions, the experimenter collected data on one-minute readings. The dependent variables were the number of words read correct per minute, errors per minute, and recalls per minute across instructional and generalization passages. Differential response patterns were obtained for all participants during the brief analysis. Functional relationships among the number of words read correct per minute ii and best intervention programs determined through brief analysis were shown for all 5 students in instructional passages. Generalized outcomes were consistent across all. students only when a criterion for generalization was applied. Additionally, the best intervention program determined through brief analysis had an effect on the number of recalls for instructional passages. The results of the current study suggest that functional analysis is an effective procedure for determining the comparative usefulness of instructional methods, especially within the context of a thorough educational assessment.
PR ] 1 4 Se p 20 10 SMALL-TIME ASYMPTOTICS FOR FAST MEAN-REVERTING STOCHASTIC VOLATILITY MODELS

In this paper, we study stochastic volatility models in regimes where the maturity is small but large compared to the mean-reversion time of the stochastic volatility factor. The problem falls in the class of averaging/homogenization problems for nonlinear HJB type equations where the " fast variable " lives in a non-compact space. We develop a general argument based on viscosity solutions which we apply to the two regimes studied in the paper. We derive a large deviation principle and we deduce asymptotic prices for Out-of-The-Money call and put options, and their corresponding implied volatilities. The results of this paper generalize the ones obtained in [11] (J. Feng, M. Forde and J.-P. Fouque, Short maturity asymptotic for a fast mean reverting Heston stochastic volatility model, SIAM Journal on Financial Mathematics, Vol. 1, 2010) by a moment generating function computation in the particular case of the Heston model. 1. Introduction. On one hand, the theory of large deviations has been recently applied to local and stochastic volatility models [1–4, 18], and has given very interesting results on the behavior of implied volatilities near maturity (an implied volatility is the volatility parameter needed in the Black-Scholes formula in order to match a call option price; it is common practice to quote prices in volatility through this transformation). In the context of stochastic volatility models, the rate function involved in the large deviation estimates is given in terms of a distance function, which in general cannot be calculated in closed-form. For particular models, such as the SABR model [17, 19], approximations obtained by expansion techniques have been proposed (see also [12, 16, 20, 26]). On the other hand, multi-factor stochastic volatility models have been studied during the last ten years by many authors (see for instance [7, 13, 16, 25, 27]). They are quite efficient in capturing the main features of implied
Investigation of process variation on register files in 65nm technology

Modern on-chip memories demand a increasing need for higher performance, lower power consumption and improved robustness with shrinking feature size. The process variations are expected to be more pronounced in advanced process technology commonly used in memories such as SRAM. Variations in the critical process parameters such as threshold voltage or effective channel length can result in large number of faulty cells in a memory. These variations can result in reduced maximum attainable operating frequency, yield and circuit performance. In this paper, the impact of mismatch and process-variation on standard 6T cell is investigated. Then a register file is designed in 65nm Technology with six-transistor SRAM and investigated for the leakage power and performance under process variation. Each entry of the register file is analyzed for the performance degradation and clear, partially affected and fully affected registers are identified under process variation due to delay and leakage. Random variation alone is modeled as they are the dominant cause of process variation. It is found that the access time increases with the size of the register file and the leakage power under process variation is 22 times larger than the normal leakage power with unaffected system.
ROI Extraction Based on Rough Set

Region of interest (ROI) extraction plays an important part in image processing and analysis. Based on rough set theory, a ROI extraction algorithm was presented in the paper. Firstly, a rough ROI was determined based on the prior knowledge. Then, combining with the low-level features such as intensity, edge, location of the marked ROI, an information table reflecting the relation of classification was constructed and the basic regions were built based on its indiscernibility. Finally, the approximate region to the original rough ROI was considered as the final ROI. The experiments show that the new algorithm has higher accuracy and lower time complexity than the traditional methods.
The role of University administrations in termination campus violence at the Jordanian Universities

The major purpose of the present study is to identify the role of university administration in dealing with violence problem among college students in Jordan by finding out the contributing factors to violence in the Jordanian universities so as to suggest a number of effectively suitable measures for university administrations to use with university violence for eliminating or limiting outspread of this problem. The total sample of the study was eleven universities were randomly selected out of twenty five universities. The sample (N=504) were randomly selected who assume positions of dean, deputy dean, department chair, and student council member in the sampled universities. The finding shows that the Tribal mentality and parochial fanaticism" was estimated top (M=4.34, SD=.92), followed by "Poor social maturity and low sense of responsibility among students" (M=4.30, SD=.82), and thirdly was "Misuse of cellular phones by students" (M=4.25, SD=.97). "Costly life standards and economic inflation" (M=3.45, SD=1.13) was placed in the last rank, indicating moderate contribution to student violence by this item. The findings related to administrative procedures" area related to the academic Units and Faculties" Shows that "Educational role of faculties in classroom and adjusting negative behaviors" was placed first (M=3.79, SD=1.09) implying that the academic units and faculties have great part to play in reducing student violence , "Promote student awareness to concepts of democracy and accept opinion of majority" was ranked secondly (M=3.76, SD=1.15) "Strengthening cooperation between administrators and faculties" (M=3.68, SD=1.13) was ranked in the third place, and" Reconsideration of student schedule so that to ensure academic involvement of student" was in the last place (M=3.43, SD=1.11) at a moderate degree.
Mediating geovisualization to potential users and prototyping a geovisualization application

After establishing user requirements (Lloyd, Dykes, Radburn, 2007) human centred techniques can be used to progressively prototype geovisualization applications. User evaluation has been limited in visualization (Ellis and Dix, 2006) and a handful of studies focus on geovisualization users at the design stages (e.g. Ahonen-Rainio and Kraak, 2005). This paper outlines work to mediate geovisualization tools/interactions to potential users and shows how HCI prototyping techniques can aid the development of a geovisualization application. Our case study involving the crime reduction researchers in Leicestershire County Council (LCC) gives insight into which prototyping techniques work and which need modifying because of the unique characteristics of using interactive computer maps as interfaces to information exploration.
2016 Ieee International Conference on Big Data (big Data) Too Big to Mail: on the Way to Publish Large-scale Mobile Analytics Data

—The Carat project started in 2012 has collected over 1.5 TB of data from over 850,000 mobile users all over the world. The project uses Apache Thrift to transmit data, and Apache Spark to run data analysis tasks, and the gist of the Carat analysis method has been published. While the Carat application code is open source, the data is much harder to share because of its size and privacy concerns. This paper outlines the challenges in sharing such a large-scale dataset with detailed information about smart devices, applications, and their users, and presents some solutions to these challenges. I. INTRODUCTION Since its beginning in 2012, the Carat mobile application has collected data from 853,886 Android and iOS devices worldwide. The datasets include, for example, names and status of running and installed applications, current system settings, information of networking and system state, and so on. From a research point of view, the data has benefited analysis of energy-anomalous applications [8], system settings and subsystem variables [9], [11], malware applications [6], [13], and user behavior [2]. The Carat application goes further than simply collecting data. It also gives actionable energy-saving recommendations to the users. Indeed, further research could be conducted on the data to extend mobile user's experience of battery life, suggest better settings configurations, and discover malware in the wild. However, maintaining a large-scale system such as Carat places considerable strain on a research team. In order to enable open access to the data, or a subset of it, for mobile application developers and other researchers, we face several challenges. How the data, which in its raw format will soon be over 2 TB, could physically made available? How to guarantee user privacy, so that the users of Carat are protected? How to guarantee that there are no legal or ethical issues in sharing the data, especially as it contains information of hundreds of thousands of applications and several hundred different device models? The present paper discusses these challenges, not all of them yet fully solved, and discusses some solutions to consider in the near future when releasing larger portions of the Carat dataset. We also consider the development of a search-based data access API that the developers and the researcher community could take advantage of instead of a large raw dataset, and the merits and drawbacks of such an API. If and when the data can be shared, mobile …
An argument-based approach to cope with trust and pluralism in web news reports

Due to the huge amount of multi-source news that are available on the Web at any time, it is crucial to provide intelligent mechanisms to select and rank news reports. Over the last few years, a number of approaches based on criteria such as freshness, relevance and viewer profile have been proposed. However, most existing news processing services do not deal with credibility from a qualitative perspective, and do not provide mechanisms to cope with controversial news reports. To fill this gap, this paper proposes a news service framework that brings the notions of trust and pluralism into play. The proposed framework is based on a set of basic postulates characterizing the nature of trust. In our proposal, trust is modeled using Defeasible Logic Programming, a general-purpose defeasible argumentation formalism based on logic programming. Our approach helps identify antagonism among sources of news and facilitates the analysis of opposing positions. This allows us to integrate dialectical reasoning into a news recommender system, which has the capability of providing a reasoned basis for the news presented to the viewer.
Validation of the WRAIR Leadership Scale

Abstract This study’s purpose was to validate the noncommissioned officer (NCO) and officer versions of the Walter Reed Army Institute of Research-Leadership Scale (WRAIR-LS). Study 1 assessed psychometric properties and convergent validity. The scale demonstrated adequate reliability and convergent validity with validated leadership scales, as well as significant correlations with measures of unit climate and mental health. Study 2 assessed predictive validity and bidirectional effects with other outcomes. WRAIR-LS predicted unit climate and depression, and organizational support predicted WRAIR-LS. Overall results suggest that while leaders shape unit climate and health of subordinates, unit climate may also shape the perception of leaders.