Miracle-dz/UniFAR-FTUs huggingface dataset:
A component of the chloroplastic protein import apparatus is targeted to the outer envelope membrane via a novel pathway.

A chloroplastic outer envelope membrane protein of 75 kDa (OEP75) was identified previously as a component of the protein import machinery. Here we provide additional evidence that OEP75 is a component of protein import, present the isolation of a cDNA clone encoding this protein, briefly describe its developmental expression and tissue specificity, and characterize its insertion into the outer envelope membrane. OEP75 was synthesized as a higher molecular weight precursor (prOEP75) which bound to isolated chloroplasts in an in vitro import assay and subsequently was processed to the mature form (mOEP75). During this import assay, two proteins intermediate in size between prOEP75 and mOEP75 were detected. One of these intermediates was also detected in chloroplast envelopes isolated from young pea leaves. Binding and processing of prOEP75 required ATP and one or more surface‐exposed proteinaceous components, and was competed by prSSU, a stromal‐targeted protein. We propose that the N‐terminus of the prOEP75 transit peptide acts as a stromal‐targeting domain and a central, hydrophobic region of this transit peptide acts as a stop‐transfer domain. A complex route of insertion and processing of prOEP75 may exist to ensure high fidelity targeting of this import component.
Development of predictive model in education system: using Naïve Bayes classifier

With the advent of ICT (Information and Communication Technologies) education sector is also experiencing change in teaching process. Different mode of delivery with the use of ICT and digital content has made concept of E-learning and Blended learning more acceptable. But all the available technologies are not used with full potential, sometimes even not introduced at all. Business Intelligence (BI) is one of them. Educational sector also has got vast amount of data scattered in different forms which can be reused to make more intelligent decisions. Various data mining techniques are available which can be used in order to get intelligent information from educational data. Furthermore with the increasing awareness of benefits due to use of Open Source technologies it has become possible for educational institutes to use various technologies with low cost or no cost. In this paper we have used Open Source software Knime for predicting student's results using Naïve Bayesian Learner and Naïve Bayesian predictor. We also have used Moodle logs data of student's activities as one of the attributes in order to predict results using Naïve Bayes theory.
Financial and strategic motivations behind IS outsourcing

Information Systems (IS) functions and whole IS departments are being outsourced in industries where the IS functions have been considered ‘core’ to the success of that business. Why and how senior management came to make these decisions is the focus of this article. It explains the motivations behind Information Technology (IT) outsourcing when popular alliance theories, such as transaction cost theories, game theory and joint-venture alliance theory suggested firms would not outsource an entity if core competency would be lost. Seven case studies were used to investigate the IT outsourcing phenomenon in the observed ‘alliance-like’ relationships emerging in the banking industry in the early 1990s. Inductive theory generating research was undertaken in this work following Yin's (1984, 1989) guidelines of multiple case replications to ensure rigorous and systematic data collection procedures. Before the case studies were conducted, 40 preliminary interviews were undertaken with managers of companies that were and were not involved in IT outsourcing contracts to explore the theorized factors of interest drawn from the literature, to develop the propositions, and to refine a structured interview guide. These preparatory steps led into the initial case study, and the literal replications of the proposed factors to confirm the patterns found. A theoretical replication based on conflict resolution was then undertaken to expose greater variation in conflict with the outsourcing relationships to contrast the initial patterns found. The results suggest that financial motivations underlie many IT outsourcing decisions, and unresponsive IS departments are accelerating the pace of the outsourcing process. Within this research, IT outsourcing was found to have profound effects on the expenses for the banks. However, contrary to conventional wisdom, IT outsourcing is taking place within firms and industries which utilize IS activities that are considered core competencies. Several strategic motivations were presented that may explain this management decision. Firms were undertaking IT outsourcing to change the organizational boundaries, to restructure, to mitigate technological risk and uncertainty, to access emerging technology, to manage the IS department better, and to link business and IT strategy.
A Passive EMI Filter for Eliminating Both Bearing Current and Ground Leakage Current From an Inverter-Driven Motor

This paper presents a practical approach to eliminating both bearing current and ground leakage current from an inverter-driven motor rated at 400 V and 3.7 kW. When the shaft voltage with respect to the motor frame exceeds the dielectric breakdown voltage of thin lubricating grease films in two metal bearings at the drive and non-drive ends, an electrical discharge machining (EDM) current flows through the bearings. A passive electromagnetic interference (EMI) filter can keep the shaft voltage in check, as a result of having eliminated high-frequency common-mode voltage from the motor terminals. Hence, no dielectric breakdown occurs in the grease films, so that no EDM current flows in the bearings. Experimental results verify the viability and effectiveness of the passive EMI filter designed in this paper
Adenoviral Expression of Vascular Endothelial Growth Factor-C Induces Lymphangiogenesis in the Skin

The growth of blood and lymphatic vasculature is mediated in part by secreted polypeptides of the vascular endothelial growth factor (VEGF) family. The prototype VEGF binds VEGF receptor (VEGFR)-1 and VEGFR-2 and is angiogenic, whereas VEGF-C, which binds to VEGFR-2 and VEGFR-3, is either angiogenic or lymphangiogenic in different assays. We used an adenoviral gene transfer approach to compare the effects of these growth factors in adult mice. Recombinant adenoviruses encoding human VEGF-C or VEGF were injected subcutaneously into C57Bl6 mice or into the ears of nude mice. Immunohistochemical analysis showed that VEGF-C upregulated VEGFR-2 and VEGFR-3 expression and VEGF upregulated VEGFR-2 expression at 4 days after injection. After 2 weeks, histochemical and immunohistochemical analysis, including staining for the lymphatic vessel endothelial hyaluronan receptor-1 (LYVE-1), the vascular endothelial marker platelet-endothelial cell adhesion molecule-1 (PECAM-1), and the proliferating cell nuclear antigen (PCNA) revealed that VEGF-C induced mainly lymphangiogenesis in contrast to VEGF, which induced only angiogenesis. These results have significant implications in the planning of gene therapy using these growth factors.
C4.5-Based Classification Rules Mining of High-Rise Building SFIO

Firstly, we show that the C4.5 algorithm inherits all the advantages of the ID3 algorithm, at the same time, it overcomes the defect of ID3 algorithm such as can not deal directly with continuous attributes, tend to choose more attributes when using information gain attributes to confirm the test values; we introduced the basic thought, problem solving process, the theoretical basis and classification rules extraction methods of C4.5 algorithms. Then, application of the high-rise building as the background, we used C4.5 algorithm to establish decision tree model of structural form intelligent optimization (SFIO). We extract the classification rules which could be distinguish structural form such as high-rise building structural function, height, fortification intensity etc. It provides new ways and scientific basis for the structural form optimal selection. Theory and Practice shows that C4.5 algorithm can effective mine form optimization data from the cases. This paper provides a new approach and methodology on the full use of abundant cases to address SFIO of knowledge acquisition "bottleneck".
Named entity recognition and tweet sentiment derived from tweet segmentation using hadoop

Twitter is well known website famous for micro blogging where millions of users exchanging their opinions and thoughts. The tweets users are sharing has a error sum nature. The information available in tweets is insufficient. Because of character limitation tweets are short in nature many applications like Information Retrieval has problems in information retrieval. Here we are proposing a batch processing framework for tweet fragmentation called TweetSeg. TweetSeg combines information from Confined context with information from Universal context for achieving better results for Named Entity identification. Tweeter is used largely so we want to find public sentiment of tweet by segmenting the tweet into fragments where each fragment can be a named entity, we can find meaningful information from the part and analyzing the sentiments expressed in the tweets by using these fragments in Hadoop framework.
Compensating for instantaneous signal mixing in transfer entropy analysis of neurobiological time series

The transfer entropy (TE) has recently emerged as a nonlinear model-free tool, framed in information theory, to detect directed interactions in coupled processes. Unfortunately, when applied to neurobiological time series TE is biased by signal cross-talk due to volume conduction. To compensate for this bias, in this study we introduce a modified TE measure which accounts for possible instantaneous effects between the analyzed time series. The new measure, denoted as compensated TE (cTE), is tested on simulated time series reproducing conditions typical of neuroscience applications, and on real magnetoencephalographic (MEG) multi-trial data measured during a visuo-tactile cognitive experiment. Simulations show that cTE performs similarly to TE in the absence of signal cross-talk, and prevents false positive detection of information transfer in the case of instantaneous mixing of uncoupled signals. When applied to MEG data, cTE detects significant information flow from the visual cortex to the somatosensory area during task execution, suggesting the activation of mechanisms of multisensory integration.
Telehealth: A Rapidly Developing Service Delivery Model For Occupational Therapy

Over the past decade, the practice of occupational therapy has been increasingly influenced by technological advances in the use of information and communication technologies (ICT) and associated changes in health care policy. Emergent from this evolution is the application of telehealth to deliver occupational therapy services to a client who is in a different physical location than the provider. This article furnishes an overview of the evidence for telehealth use in occupational therapy, discusses key policy considerations, and provides resources to guide practitioners in the ethical use of telehealth.
Supermaneuverable perching

Birds have the impressive ability to gracefully 'swim' through the air while executing aerobatic maneuvers that routinely defy modern aeronautical and control engineering, consistently reminding us that the skies are truly their playground. These animals are masters at inducing and exploiting post-stall aerodynamics to quickly execute maneuvers with unprecedented precision, with nowhere near the sustained propulsive power found in modern state-of-the-art aircraft. This amazing ability to manipulate the air is commonly attributed to the intricate morphology of the wings, tail, feathers and overall sensory motor system of the animal. In this thesis we demonstrate, on real hardware, that using only an approximate model of the post-stall aerodynamics in combination with principled and novel tools in optimal control, even a simple fixed-wing foam glider (no propeller) made out of rigid flat plates, with a single actuator at the tail, is capable of executing a highly dynamic bird-like perching maneuver to land on a power-line by exploiting pressure drag on its stalled wings and tail. We present a feedback controller capable of stabilizing the maneuver over a wide range of flight speeds and quantify its robustness to wind-gust disturbances. In order to better characterize the aerodynamics during perching, we performed smoke-visualization in a low-speed free-flight wind-tunnel, where we were able to capture real images of the dominant vortex wake dynamics. We describe the application of these results to the synthesis of higher fidelity aerodynamic models. We also demonstrate our initial perching experiments with flapping-wings, using a flapping-wing version of our glider as well as our fully computerized two-meter wingspan robotic bird, Phoenix. (Copies available exclusively from MIT Libraries, Rm. 14-0551, Cambridge, MA 02139-4307. Ph. 617-253-5668; Fax 617-253-1690.)
Discrete superposition of equal-frequency Bessel beams: Time-average forces exerted on dielectric and magnetodielectric Rayleigh particles

We demonstrate the ability of scalar frozen waves - wave fields constructed from suitable superpositions of equal-frequency and arbitrary-order Bessel beams - to trap and manipulate both low- and high-index dielectric and magnetodielectric Rayleigh particles. Explicit analytical expressions are derived for the optical forces based on a dipole approximation and taking into account magnetic polarizabilities. Two examples of frozen waves are numerically investigated, revealing that it is indeed possible to optically trap such particles at multiple transverse planes and at specific radial positions. Our results suggest that such optical wave fields may serve as laser beams in optical trapping, atom guiding, optical bistouries and so on.
Statistical Mechanics Approximation of Biogeography-Based Optimization

Biogeography-based optimization (BBO) is an evolutionary algorithm inspired by biogeography, which is the study of the migration of species between habitats. This paper derives a mathematical description of the dynamics of BBO based on ideas from statistical mechanics. Rather than trying to exactly predict the evolution of the population, statistical mechanics methods describe the evolution of statistical properties of the population fitness. This paper uses the one-max problem, which has only one optimum and whose fitness function is the number of 1s in a binary string, to derive equations that predict the statistical properties of BBO each generation in terms of those of the previous generation. These equations reveal the effect of migration and mutation on the population fitness dynamics of BBO. The results obtained in this paper are similar to those for the simple genetic algorithm with selection and mutation. The paper also derives equations for the population fitness dynamics of general separable functions, and we find that the results obtained for separable functions are the same as those for the one-max problem. The statistical mechanics theory of BBO is shown to be in good agreement with simulation.
A Gauss-Seidel approach to precoding design for joint transmission of distributed correlated sources

We consider the problem of transmitting multiple spatially distributed correlated sources to a common destination (e.g. a fusion center or an access point) in wireless sensor networks (WSNs). The correlated data from multiple sensors are jointly transmitted to the destination via orthogonal channels. We assume that the channel between each sensor and the receiver is multiple-input multiple-output (MIMO), with each sensor and the receiver equipped with multiple transmit/receive antennas. In this framework, we study the problem of joint design of linear precoders for all sensors by assuming the knowledge of the instantaneous channel state information (CSI), with the objective of maximizing the mutual information between the sources and the destination. We propose a Gauss-Seidel iterative approach which successively optimizes the precoding matrix associated with each sensor, while fixing the other precoding matrices. Numerical results show that the proposed algorithm that takes into account the spatial correlations across sensors can achieve higher capacity than conventional methods that neglect the spatial correlations.
An Efficient Finite-Difference Time-Domain Algorithm to Simulate the Absorbed Energy of Nonflat Layers or Particles of Thin-Film Solar Cells

We propose an efficient and accurate finite-difference time-domain (FDTD) algorithm to simulate the absorbance of a thin-film solar cell containing nanometer particles or nonflat layers. This algorithm can extract a closed boundary for an arbitrarily shaped object, with the solar cell model being discretized into a set of Yee's cells to construct the FDTD system. Using this information, we can distinguish the closed boundaries of the components (e.g., particles or layers) of the solar cell and accurately calculate the absorbance of each particle or layer. Moreover, using the closed line (in 3-D, surface) integration instead of the area (in 3-D, volume) integration enables faster calculation and requires less memory.
MORFOSINTÁCTICO DO SLI Ó CORPUS DE TRADUCCIÓNS TECTRA

Resumo: Neste artigo preséntase un etiquetario morfosintáctico completo e normalizado para etiquetar corpus lingüísticos de lingua galega. A elaboración deste etiquetario, deseñado polo Seminario de Lingüística Informática (SLI) da Universidade de Vigo seguindo estrictamente as recomendacións de EAGLES (Leech e Wilson 1996), adaptadas por vez primeira ó galego, inclúe a creación dun etiquetario intermedio que nos permite establecer unha correspondencia entre a información gramatical para o galego codificada no CLUVI (Corpus Lingüístico da Universidade de Vigo) e a que se atopa codificada no formato estándar de EAGLES en corpus doutras linguas.
An empirical comparison of pruning strategies in game trees

Size pruning strategies on uniform and nonuniform game trees of 24 different sizes, each being assigned leaf-node static values under four different schemes, are compared. The performance of these strategies is compared on the basis of nodes created, node visits, and CPU time. These are believed to be the most exhaustive experimental results so far reported.
Oral Protein-Energy Supplements in Peritoneal Dialysis: A Multicenter Study

Background Protein-energy malnutrition is prevalent in peritoneal dialysis (PD) patients and is associated with increased morbidity and mortality. Objective To evaluate the impact of prophylactic treatment with an oral protein-energy supplement (Protenplus; Fresenius AG, Bad Homburg, Germany) on nutritional parameters in patients starting PD. Design Prospective, multicenter, randomized study of group A patients (Protenplus, n = 35) and group B (controls, n = 30), with evaluations at baseline and at 6 and 12 months. Statistical Methods: Efficacy of factors by linear mixed model analysis for repeated measurements, chi-square, t-test, and Mann–Whitney test. Outcome Parameters Patient compliance, serum albumin, and other nutritional parameters. Results No significant differences were found at baseline evaluation. During follow-up, a significant number of group A patients abandoned intake of the supplement due to noncompliance (n = 7) or side effects (n = 8) (χ2 p < 0.01). Patients with lower residual renal function were less likely to comply. The mixed model in the “intention to treat” analysis showed a significant increase related to supplement intake only in total lymphocyte count in group A. The “as treated” analysis of the 29 patients who fulfilled the study (9 in group A, 20 in group B) disclosed that belonging to group A constituted an independent factor for increased lymphocyte count (p < 0.001), body weight (p < 0.03), tricipital skinfold thickness (p < 0.01), middle-arm muscle circumference (p < 0.025), lean body mass (LBM) (p < 0.002), creatinine LBM related to body surface area (p < 0.001), and creatinine generation rate (p < 0.002). However, these data may have been biased by the high rate of noncompliance in group A. Conclusions Protenplus proved to be unsuitable as a long term, oral protein-energy supplement in PD patients due to a high rate of noncompliance and intolerance, primarily among patients with lower residual renal function. The question of whether other products, better-tolerated as nutritional supplements, could compensate for daily protein peritoneal losses in long-term PD remains open.
Chinese Word Segmentation Based on Large Margin Methods

Chinese Word segmentation is the initial step for Chinese languages processing tasks, which transforms a Character string into a word sequence. Popular approaches to Chinese word segmentation treats Chinese Word Segmentation as a sequence labeling problem tagging each character in the sentence whether it is a single character word or the start, middle or end of a multi-character word. Lots of Discriminative models have been widely applied to this problem. In this paper, the large margin methods, which combine the advantages of two typical state-of-the-art methods, Support vector machines (SVMs) and Conditional Random Fields (CRFs), are presented for Chinese Word Segmentation by Character-based tagging. Their performances are also compared with the performance of SVMs and CRFs and other systems in the literature. Closed test on the PKU, MSR and HK CityU corpus of Sighan Bakeoff-2005 shows some performance improvements over SVMs, CRFs, and our system is competitive with the other best system in the literature.
Principal Component Analysis Method for Detection and Classification of ECG Beat

This study proposes a simple and effective method, termed Principal Component Analysis (PCA) method, to analyze ECG signals for effectively determining the heartbeat case. This method is easily performed and does not require complex mathematic computations. The average time required for processing a 30-minute long of ECG data is less than 1 minute, and the required maximum memory is only about 10 MB. The ECG records available in the MIT-BIH arrhythmia database are utilized to illustrate the effectiveness of the proposed method. The experiment results show the total classification accuracy was approximately 90.85%.
Finite-time fuzzy stabilisation and control for nonlinear descriptor systems with non-zero initial state

For nonlinear descriptor systems, this paper presents an approach to obtain a fuzzy controller with guaranteed finite-time stability and finite-time boundedness with non-zero initial state, which outperforms some recent work and additionally provides a precision estimation of model approximation. We prove necessary and sufficient conditions of finite-time stability and finite-time boundedness with non-zero initial state for nonlinear descriptor systems. Using Takagi–Sugeno fuzzy dynamic models and proposed sufficient conditions, we define fuzzy sets and use linear matrix inequalities to satisfy differential linear matrix inequalities. A simulation confirms efficiency and precision of the given method.