Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of in-vitro anti-inflammatory and antimicrobial properties of Pergularia daemia and Solanum xanthocarpum

Inflammation is a normal protective response to tissue injury caused by physical trauma, noxious chemical or microbial agents. The lysosomal enzymes released during inflammation produced a variety of disorders. The extracellular activity of these enzymes is said to be related to acute or chronic inflammation. Stabilization of lysosomal membrane is important in limiting the inflammatory response by inhibiting the release of lysosomal constituents of activated neutrophil such as bactericidal enzymes and proteases, which cause further tissue inflammation and damage upon extra cellular release or by stabilizing the lysosomal membrane (Vadivu and Lakshmi, 2008). HRBC or erythrocyte membrane is analogous to the lysosomal membrane (Chou, 1997) and its stabilization implies that the extract may as well stabilize lysosomal membranes. Human red blood corpuscle (HRBC) or erythrocyte ISSN: 2319-7706 Volume 2 Number 1 (2013) pp. 94-99
Model Based Predictive Control of a Fully Parallel Robot

: This paper deals with an efficient application of a model based predictive control in parallel machines. A receding horizon control strategy based on a simplified dynamic model is implemented. Experimental results are shown for the H4 robot, a fully parallel structure providing 3 degrees of freedom (dof) in translation and 1 dof in rotation. The model based predictive control and the commonly used computed torque control strategies are compared. The tracking performances and the robustness with respect to external disturbances or model / robot mismatch, are enlightened. Copyright © 2002 IFAC.
METRIC COMPLETION OF Diff([0, 1]) WITH THE H RIGHT-INVARIANT METRIC

We consider the group of smooth increasing diﬀeomorphisms Diﬀ on the unit interval endowed with the right-invariant H 1 metric. We compute the metric completion of this space which appears to be the space of increasing maps of the unit interval with boundary conditions at 0 and 1. We compute the lower-semicontinuous envelope associated with the length minimizing geodesic variational problem. We discuss the Eulerian and Lagrangian formulation of this relaxation and we show that smooth solutions of the EPDiﬀ equation are length minimizing for short times.
Image Sharpness Assessment Based On local Phase Coherence

The significance of NR evaluation of picture sharpness, which is directly related to blur, is covered in this work. Algorithms for evaluating sharpness and blur are currently relied upon edge width, local gradients, or energy savings of global or local high frequency content. This research introduces a novel sharpness assessment technique without referring to the original picture and proposes an adaptable structure for LPC calculation in arbitrary fractional sizes. When measured against cutting-edge algorithms, the suggested approach performs admirably. This study concentrates upon the no-reference evaluation of picture sharpness, one of the key factors that determine perceived image quality and one that is influenced by a variety of visual aberrations. Perceptual sharpness measures may be used as design & optimisation criteria for developing picture enhancement, restoration, and compression algorithms as well as auto-focus systems based on visual perception. This extends application spectrum of perceptual sharpness measures over evaluating picture quality. The Local Phase Coherence (LPC) theory, which claims that complex wavelet coefficient phases demonstrate a continuous link throughout scales in the region of sharp image features, including edges and lines, is used in this study to analyse picture sharpness from a different angle. Numerous image distortions which impact perceived sharpness interfere with the LPC relationship, making our measure useful for evaluating sharpness. When used properly, picture sharpening may frequently enhance perceived image quality even more than switching to a high-end camera lens. It is a useful technique for highlighting texture and grabbing the viewer's attention.
All-Optical Ultra-High-Speed OFDM to Nyquist-WDM Conversion Based on Complete Optical Fourier Transformation

We propose a novel all-optical ultra-high-speed orthogonal frequency-division multiplexing (OFDM) to Nyquist wavelength-division multiplexing (Nyquist-WDM) conversion scheme, achieved by exchanging the temporal and spectral profiles using a complete optical Fourier transformation (OFT). This scheme enables high-speed OFDM to Nyquist-WDM conversion without complex optical/electrical/optical conversion. The all-optical OFDM transmitter is based on the generation of OFDM symbols with a low duty cycle by rectangular temporal gating, which in combination with optical time-division multiplexing yields a higher symbol-rate OFDM signal. In the receiver, the converted Nyquist-WDM super-channel is WDM demultiplexed into individual Nyquist-WDM channels using a rectangular optical bandpass filter, followed by optical sampling at the intersymbol-interference free point. In the experimental demonstration, a single-polarization 8-subcarrier 640 Gb/s differential phase-shift keying OFDM super-channel with a spectral efficiency (SE) of 0.8 symbol/s/Hz is generated. The OFDM super-channel is then converted to eight 80-Gb/s Nyquist-WDM channels by complete OFT. The complete OFT is based on two quadratic phase-modulation stages using four-wave mixing, separated by a dispersive medium. In the receiver, a BER <; 10-9 is obtained for all channels. The SE remains unchanged after conversion.
DISEÑO DE UNA ENTREVISTA DE EVALUACIÓN DEL DESEMPEÑO POR COMPETENCIAS DESDE UNA PERSPECTIVA MICROSOCIOLÓGICA

espanolLa consecucion de un ajuste optimo entre los recursos humanos y las necesidades empresariales es uno de los objetivos mas deseados por el management empresarial en la actualidad. A su vez, la administracion y utilizacion de un sistema de competencias en el campo educativo y profesional se ha constituido como un ambito de trabajo de especial relevancia en las ultimas decadas. Partiendo de la vinculacion entre estas dos ideas, eficaz gestion de los recursos humanos y manejo de un sistema de competencias, este trabajo propone un modelo de entrevista de evaluacion del desempeno basado en la gestion por competencias. Entendemos que dicho modelo permitiria a las empresas evaluar la adecuacion del trabajador a su puesto a partir del analisis comparativo entre las competencias asignadas al puesto y las que efectivamente aporta el trabajador y, en caso de desajustes, actuar en consecuencia. EnglishThe achievement of an ideal adjustment between the human resources and the company needs is one of the most wished goals by the management nowadays. At the same time, the administration and utilization of a system of competences in the educational and professional field has been constituted as an area of work of special importance in the last decades. Taking both ideas as a starting point, effective management of the human resources and using of a system of competences, this work proposes a model of interview of the performance assessment at work based on the competences management. We understand that the above mentioned model would allow the companies to evaluate the adequacy of the worker to his position from the comparative analysis between the competences assigned to the work position and those that really the worker has and, in case of maladjustments, to act in consequence.
Calculation Of Multi Machine Infinite Bus System (Mmib) Optimal Points For Facts Controller Using Ga And Comparing With Other Facts Controllers

This paper introduces Flexible AC Transmission System (FACTS) devices in the power system which is a successful opportunity for using transmission lines. Assembling of FACTS controllers at the best area in the system is the major investigation. The UPFC is also one of the controllers in combined FACTS controller. This kind of controller is a very classy controller and it is providing the amount come of its preparation. With wide selection of working and blame situations, the enactment calculation of various FACTS controllers has been completed. Then UPFC controller of power system load or power flow control characteristics are compared with different FACTS controllers. These FACTs controllers are having the better-quality. The distinguishing HPFC proposals are anticipated or dedicated on a MMIB bus. Hybrid Power Flow Controller (HPFC) which can be planned utilizing the current VAR compensator/controller has the favorable position that it is financially savvy and is an execution proportionate option of UPFC. With utilizing or limiting circumstances capabilities are produced in UPFC and HPFC of the power system. In this paper has newly introduced Genetic Algorithm method using the Hybrid Power Flow Controller (HPFC) with multi machine power system. Then simulation results are compared with rest of the controllers of Power system using IEEE 62 Bus and IEEE 118 Bus Test System.
HER2/neu status detection in breast carcinoma: Is FISH the preferred approach over IHC

Background: HER2/neu amplification is found in 15-30% of all breast cancer patients, which can be detected by either immunohistochemistry (IHC) or fluorescence in situ hybridization (FISH). The concordance of FISH and IHC analysis for HER2/neu amplification remains limited, especially with studies in the Indian population. There is a need to further classify this information as HER2/neu positive patients often have a worse disease prognosis and require anti-HER2/neu therapy. Methods: In a retrospective study 149 patients with invasive ductal carcinoma (IDC) and invasive lobular carcinoma (ILC), who underwent both IHC and FISH testing for HER2/neu amplification were analysed to determine the concordance between the two tests in this population. Results: Out of 149 patients reviewed, 58 had equivocal results on IHC, 52 patients had negative results and 39 patients had positive results on IHC. Analysis of the 91 non-equivocal IHC cases and their FISH results demonstrated an inter-rater reliability of Kappa= 0.606 (p <0.0005) 95% CI (0.445, 0.767). Of the 52 patients with negative IHC scores, 13 (25%) were found to be positive on FISH testing for HER/neu amplification. This represents a substantial number of patients who otherwise would not have received anti-HER2/neu therapy. Conclusions: The present results indicate that FISH testing for HER2/neu status should be done on all breast cancer patients whenever possible, irrespective of IHC score status so that appropriate treatment decisions can be made. The higher sensitivity and specificity of FISH testing can reduce the number of both false positive and false negatives seen with immunohistochemistry testing in the present study.
An Alternating Augmented Lagrangian method for constrained nonconvex optimization

ABSTRACT We consider the problem of minimizing a smooth nonconvex function over a structured convex feasible set, that is, defined by two sets of constraints that are easy to treat when considered separately. In order to exploit the structure of the problem, we define an equivalent formulation by duplicating the variables and we consider the augmented Lagrangian of this latter formulation. Following the idea of the Alternating Direction Method of Multipliers (ADMM), we propose an algorithm where a two-blocks decomposition method is embedded within an augmented Lagrangian framework. The peculiarities of the proposed algorithm are the following: (1) the computation of the exact solution of a possibly nonconvex subproblem is not required; (2) the penalty parameter is iteratively updated once an approximated stationary point of the augmented Lagrangian is determined. Global convergence results are stated under mild assumptions and without requiring convexity of the objective function. Although the primary aim of the paper is theoretical, we perform numerical experiments on a nonconvex problem arising in machine learning, and the obtained results show the practical advantages of the proposed approach with respect to classical ADMM.
DEPARTMENT OF ECONOMICS, MANAGEMENT AND STATISTICS UNIVERSITY OF MILAN – BICOCCA

We analyze the relationship between the prices of e thanol, agricultural commodities and livestock in Nebraska, the U.S. second largest etha nol producer. The paper focuses on long-run relations and Granger causality linkages between et hanol and the other commodities. The analysis takes possible structural breaks into account and u ses a set of techniques that allow to draw inferenc es about the existence of long-run relations and of sh rt-run in-sample Granger causality and out-ofsample predictive ability. Even after taking breaks into account, evidence that the price of ethanol drives the price dynamics of the other commodities is extremely weak. It is concluded that, on the basis of a formal, comprehensive and rigorous causa lity analysis we do not find evidence in favour of the Food versus Fuel debate.
Eﬀects of acute stress on pilots’ working memory

Stress has been shown to inﬂuence working memory (WM). However, little is known about the eﬀects of acute stress on pilots’ WM with varying WM loads. The current study aims to shed more light on this issue. Forty-two pilots were randomly assigned to the stress or the control group. The stress group experienced acute stress induced by the modiﬁed Trier Social Stress Test (TSST), and the control group did not receive any stress induction. Then, all participants performed N-back tasks under varying levels of WM load (0-back, 1-back, and 2-back) to examine their WM. We measured their State-Trait Anxiety Inventory scores and salivary cortisol concentrations repeatedly throughout the experiment to determine the eﬀects of induced stress. The results showed that (1) the modiﬁed TSST eﬀectively induced acute stress in the stress group; (2) as the WM load level increased, the reaction time increased, and the accuracy decreased; and (3) there were no signiﬁcant diﬀerences in reaction time between the two groups at diﬀerent WM load conditions. However, there was an interaction eﬀect for accuracy, which showed that the accuracy of the stress group was higher than that of the control group at the medium WM load (1-back). These ﬁndings suggest that acute stress improves pilots’ WM accuracy during moderately diﬃcult tasks. The results of this study provide a theoretical basis for improving stress management and training pilots’ WM abilities.
Human perception towards the association between the domestic rock pigeon and the insect vector of Chagas disease in an urban area of Argentina

The present study provided evidence of pigeon nesting sites as a major risk factor for the infestation of triatomines in urban areas. The study has also identiﬁed several factors that decrease the risk of infestation, such as frequency of cleaning the nests and fumigation in houses. We show that people that routinely disinfected their homes and kept houses clean of nests had considerably lower probability of ﬁnding vinchucas ( Triatoma infestans ) within their homes. These risk factors shoulde be taken into account to develop simple interventions aimed at reducing triatomine infestation in urban areas, thereby decreasing the incidence of Chagas disease.
Adding Comments and Notes to Your PDF

Increasing emphasis has been placed on the use of effect size reporting in the analysis of social science data. Nonetheless, the use of effect size reporting remains inconsistent, and interpretation of effect size estimates continues to be confused. Researchers are presented with numerous effect sizes estimate options, not all of which are appropriate for every research question. Clinicians also may have little guidance in the interpretation of effect sizes relevant for clinical practice. The current article provides a primer of effect size estimates for the social sciences. Common effect sizes estimates, their use, and interpretations are presented as a guide for researchers.
Snapshot CEST++: Advancing rapid whole‐brain APTw‐CEST MRI at 3 T

APTw CEST MRI suffers from long preparation times and consequently long acquisition times (~5 min). Recently, a consensus on the preparation module for clinical APTw CEST at 3 T was found in the community, and we present a fast whole‐brain APTw CEST MRI sequence following this consensus preparation of pulsed RF irradiation of 2 s duration at 90% RF duty‐cycle and a B1,rms of 2 μT. After optimization of the snapshot CEST approach for APTw imaging regarding flip angle, voxel size and frequency offset sampling, we extend it by undersampled GRE acquisition and compressed sensing reconstruction. This allows 2 mm isotropic whole‐brain APTw imaging for clinical research at 3 T below 2 min. With this sequence, a fast snapshot APTw imaging method is now available for larger clinical studies of brain tumors.
Sentiment analysis using fuzzy logic: A comprehensive literature review

Understanding and comprehending humans' views, beliefs, attitudes, or opinions toward a particular entity is sentiment analysis (SA). Advancements in e‐commerce platforms has led to an abundance of the real‐time and free forms of opinions floating on social media platforms. This real‐world data are imprecise and vague hence fuzzy logic is required to deal with such subjective data. Since opinions can be fuzzy in nature and definitions of opinion words can be elucidated differently; fuzzy logic has witnessed itself as an effective method to capture the expression of opinions. The study presents an elaborate review of the around 170 published research works for SA using fuzzy logic. The primary emphasis is focused on text‐based SA, audio‐based SA, and fusion of text‐audio features‐based SA. This article discusses the various novel ways of classifying fuzzy logic‐based SA research articles, which have not been accomplished by any other review article till date. The article puts forward the importance of SA tasks and identifies how fuzzy logic adds to this importance. Finally, the article outlines a taxonomy for sentiment classification based on the technique‐supervised and unsupervised in the SA models and comprehensively reviews the SA approaches specific to their task. Prominently, this study highlights the suitability of fuzzy‐based SA approaches into five different classes vis‐a‐vis (a) Sentiment Cognition from Words using fuzzy logic, (b) Sentiment Cognition from Phrases using fuzzy logic, (c) Fuzzy‐rule based SA, (d) Neuro‐fuzzy network‐based SA, and (e) Fuzzy Emotion Recognition.
Assessment of Patients’ Outcomes with High-Grade and Low-Grade Astrocytoma after Treatment: A systematic literature review and meta-analysis of clinical trial studies

Aim. About half of the brain tumours are primary and the rest are metastatic. Chemotherapy, radiotherapy and surgery are the most common treatment options. The impact of each of these treatments alone or together on the prognosis of patients with astrocytoma tumours, especially low-grade astrocytoma, is unclear which may pose many challenges in the decision-making of surgeons and patients. Various studies have reported varying degrees of survival in patients with astrocytoma after treatment. However, a comprehensive study that shows the results of these studies was not found. Considering the importance of patient’s outcomes with astrocytoma and lack of general statistics, this study aimed to determine the survival of patients with high-grade astrocytoma and low-grade astrocytoma after treatments. This study follows a systematic literature review and a meta-analysis approach. Methodology. Following
Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results

Most ant colony optimization (ACO) algorithms for inducing classification rules use a ACO-based procedure to create a rule in a one-at-a-time fashion. An improved search strategy has been proposed in the cAnt-Miner algorithm, where an ACO-based procedure is used to create a complete list of rules (ordered rules), i.e., the ACO search is guided by the quality of a list of rules instead of an individual rule. In this paper we propose an extension of the cAnt-Miner algorithm to discover a set of rules (unordered rules). The main motivations for this work are to improve the interpretation of individual rules by discovering a set of rules and to evaluate the impact on the predictive accuracy of the algorithm. We also propose a new measure to evaluate the interpretability of the discovered rules to mitigate the fact that the commonly used model size measure ignores how the rules are used to make a class prediction. Comparisons with state-of-the-art rule induction algorithms, support vector machines, and the cAnt-Miner producing ordered rules are also presented.
Performance and Dependability in Service Computing : Concepts , Techniques and Research Directions

Valeria Cardellini is Assistant Professor in the Department of Computer Science, Systems and Production of the University of Roma “Tor Vergata”, Italy. She received her PhD degree in computer science in 2001 and her Laurea degree in computer engineering in 1997, both from the University of Roma “Tor Vergata”. She was a visiting researcher at IBM T.J. Watson Research Center in 1999. Her research interests are in the field of distributed computing systems, with special emphasis on large-scale systems and services based on Internet and the Web. On these subjects she has (co)authored more than 50 papers in international journals, book chapters, and conference proceedings. She has been co-chair of AAA-IDEA 2009, has served as a member of program and organizing committees of international conferences on Web and performance analysis areas, and serves as frequent reviewer for various wellknown international journals. She is a member of ACM and IEEE. Valeria Cardellini (Universita di Roma, Italy), Emiliano Casalicchio (Universita di Roma, Italy), Kalinka Regina Lucas Jaquie Castelo Branco (Universidade de São Paulo, Brazil), Júlio Cezar Estrella (Universidade de São Paulo, Brazil) and Francisco José Monaco (Universidade de São Paulo, Brazil)
Ancestry-related differences in chromatin accessibility and gene expression of APOE4 are associated with Alzheimer disease risk

Background European local ancestry (ELA) surrounding APOE4 is associated with a higher risk for Alzheimer Disease (AD) compared to African local ancestry (ALA). We previously demonstrated significantly higher APOE4 expression in ELA vs ALA in the frontal cortex of APOE4/4 AD patients. Differences in chromatin accessibility could contribute to these differences in APOE4 expression. Methods We performed single nuclei Assays for Transposase Accessible Chromatin sequencing (snATAC-seq) and single nuclei RNA sequencing (snRNA-seq) from frozen frontal cortex of six ALA and six ELA AD patients, all homozygous for local ancestry and APOE4. Results We demonstrated that APOE4, including its promoter area, has greater chromatin accessibility in ELA vs ALA astrocytes. This increased accessibility in ELA astrocytes extended genome wide. Genes with increased accessibility and expression in ELA in astrocytes were enriched for synaptic function, cholesterol processing and astrocyte reactivity. Conclusion Our results suggest that increased chromatin accessibility of APOE4 in astrocyte with the ELA contributes to the observed elevated APOE4 expression, corresponding to the increased AD risk in ELA vs ALA APOE4/4 carriers.
Data stream mining of event and complex event streams: a survey of existing and future technologies and applications in big data

Complex Event Processing has been a growing field for the last ten years. It has seen the development of a number of methods and tools to aid in the processing of event streams and clouds though it has also been troubled by the lack of a cohesive definition. This paper aims to layout the technologies surrounding CEP and to distinguish it from the closely related field of Event Stream Processing. It also aims to explore the work done to apply Data Mining Techniques to both of these fields. An outline of stream processing technologies is laid out including the Data Stream Mining techniques that have been adapted for CEP.