Miracle-dz/UniFAR-FTUs huggingface dataset:
A unified modular analysis of online and stochastic optimization: adaptivity, optimism, non-convexity

We present a simple unified analysis of adaptive Mirror Descent (MD) and Followthe-Regularized-Leader (FTRL) algorithms for online and stochastic optimization in (possibly infinite-dimensional) Hilbert spaces. The analysis is modular in the sense that it completely decouples the effect of possible assumptions on the loss functions (such as smoothness, strong convexity, and non-convexity) and on the optimization regularizers (such as strong convexity, non-smooth penalties in composite-objective learning, and non-monotone step-size sequences). We demonstrate the power of this decoupling by obtaining generalized algorithms and improved regret bounds for the so-called “adaptive optimistic online learning” setting. In addition, we simplify and extend a large body of previous work, including several various AdaGrad formulations, composite-objective and implicit-update algorithms. In all cases, the results follow as simple corollaries within few lines of algebra. Finally, the decomposition enables us to obtain preliminary global guarantees for limited classes of non-convex problems.
I T ] 1 S ep 2 01 5 A Number-Theoretic Error-Correcting Code

In this paper we describe a new error-correcting code (ECC) inspired by the Naccache-Stern cryptosystem. While by far less efficient than Turbo codes, the proposed ECC happens to be more efficient than some established ECCs for certain sets of parameters. The new ECC adds an appendix to the message. The appendix is the modular product of small primes representing the message bits. The receiver recomputes the product and detects transmission errors using modular division and lattice reduction.
FlexRoP – flexible, assistive robots for customized production

Flexible production assistants of the future are required to be skillful, universally applicable, safe and easy to program. State of the art robot systems that are intended to be used for human robot collaboration require in some cases unintuitive text based programming, and remain, especially in combination with peripheral hardware like external sensors or machine vision algorithms, complicated. The FlexRoP project tries to overcome current limitations by development and usage of a flexible skill-based robot programming middleware and improved user interface technologies. This paper introduces usecases, the intended system architecture, methodology for description and training of kinesthetic skills as well as first application results and intentions for future developments.
Titre : Title : Hardware-assisted software event tracing Auteurs :

Event tracing is a reliable and low-intrusiveness method to debug and optimize systems and processes. Low overhead is particularly important in embedded systems where resources and energy consumption is critical. The most advanced tracing infrastructures achieve a very low footprint on the traced software, bringing each tracepoint overhead to less than a microsecond. To reduce this still non-negligible impact, the use of dedicated hardware resources is promising. In this paper, we propose complementary methods for tracing, that rely on hardware modules to assist software tracing. We designed solutions to take advantage of CoreSight STM, CoreSight ETM and Intel BTS, which are present on most newer ARM-based systems-on-chip and Intel x86 processors. Our results show that the time overhead for tracing can be reduced by up to 10 times when assisted by hardware, as compared to software tracing with LTTng, a high-performance tracer for Linux. We also propose a modification to the Perf tool to speed BTS execution tracing up to 65%.
Topological phase diagram of $\mathcal{D}(S_3)$ induced by forbidding charges and fluxes

We analyze phase transitions induced by forbidding charges and fluxes in $\mathcal{D}(S_3)$, the simplest non-Abelian model among quantum doubles, a class of 2D spin lattice topological models introduced by Kitaev. Contrary to a topological quantum field theory, the lattice degrees of freedom allow to forbid charges and fluxes independently, resulting in a non-trivial effect on dyons. Forbidding charges and fluxes leads to only a subset of the original anyons remaining, forming a new theory. We interpret the processes the theory undergoes in terms of condensation, spontaneous symmetry breaking, splitting of particles. Mapping the complete phase diagram of $\mathcal{D}(S_3)$, we find two distinct groups of phases: quantum doubles of subgroups of $S_3$, and a non-trivial emergent chiral phase, $SU(2)_4$.
MicroRNA-708-5 p acts as a therapeutic agent against metastatic lung cancer

MicroRNAs (miRNAs) have recently been recognized as targets for anti-metastatic therapy against cancer malignancy. Development of effective miRNA mediated therapies remains a challenge to both basic research and clinical practice. Here we presented the evidence for a miR-708-5p mediated replacement therapy against metastatic lung cancer. Expression of miR-708-5p was substantially reduced in metastatic lung cancer samples and cancer cell lines when compared to non-metastatic counterparts. Expression of the miRNA suppressed cell survival and metastasis in vitro through its direct target p21, and inhibited the PI3K/AKT pathway and stem cell-like characteristics of lung cancer cells. Systemic administration of this miRNA in a mouse model of NSCLC using polyethylenimine (PEI)-mediated delivery of unmodified miRNA mimics induced tumor specific apoptosis. It also effectively protected the tested animals from developing metastatic malignancy without causing any observed toxicity. The findings strongly support miR-708-5p as a novel and effective therapeutic agent against metastatic malignancy of non-small cell lung cancer.
Psychological well-being in cardiac patients and healthy people in Guilan

Introduction: Psychological well-being (PWB) and having a meaningful life play a role in reducing the incidence and mortality of cardiac disease. The aim of this study is to assess PWB in two groups of people with heart disease and healthy people. Materials and Methods: This descriptive study was performed in two groups of people with heart disease and healthy people referring to a cardiac clinic of Heshmat Hospital in Rasht from Feb to July 2016. Ryff’s PWB and demographic information were completed for all the participants. Average grade of welfare and six subscales both groups were compared using independent t-test. Relevance of well-being score with variables was surveyed using multiple linear regression model. Results: Number of 88 cases entered in the study with the average age of 50.47±15.88 year. Total score was 80.50±10.44 in ill group and 87.66±8.75 in healthy group which was significantly higher in healthy group (P=0.001). The results showed that the score of well-being in people without cardiac disease is 8.7 units more than the group suffering from it. It also showed that the score of well-being in individuals without hypertention is 3.5 units higher than those who are hypertention. No significant relevance was observed between other demographic variables and well-being score. Conclusion: In this study cardiac disease and hypertention were considered as factors related to well-being status. Futuristic longitudinal studies to survey the occurance of cardiac disease in individuals with various well-being score and executing plans to improve well-being situation as a preventive factor is recommended.
Image quality , effective and organ dose to the breast in females undergoing pulmonary MDCT angiography : comparison of filtered back projection and iterative image reconstruction

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Estimation of PM 10 Distribution Using Landsat 5 and Landsat 8 Remote Sensing †

Air pollution is one of the major environmental problems, especially in industrial and highly populated areas. Remote sensing image is a rich source of information with many uses. This paper is focused on estimation of air pollutants using Landsat-5 TM and Landsat-8 OLI satellite images. Particulate Matter with particle size less than 10 microns (PM10) is estimated for the study area of Principado de Asturias (Spain). When a satellite records the radiance of the surface received at sensor, does not represent the true radiance of the surface. A noise caused by Aerosol and Particulate Matters attenuate that radiance. In many applications of remote sensing, that noise called path radiance is removed during pre-processing. Instead, path radiance was used to estimate the PM10 concentration in the air. A relationship between the path radiance and PM10 measurements from ground stations has been established using Random Forest (RF) algorithm and a PM10 map was generated for the study area. The results show that PM10 estimation through satellite image is an efficient technique and it is suitable for local and regional studies.
nside innovation persistence : New evidence from Italian microdata

This paper contributes the analysis of the persistence of innovation activities, as measured by different innovation indicators and explores its past and path dependent characteristics. The study provides new insights on the role of R&D investments in innovation persistence and analyses differentiated patterns of persistence across product and process innovation, by accounting for complementarity effects between the two types of innovative behaviour. The empirical analysis is based on a sample of 451 Italian manufacturing companies observed during the years 1998–2006. Results highlight the relevance of innovation persistence. The highest level of persistence is found for R&D-based innovation activities,
PENERAPAN METODE DEFLATE DAN ALGORITMA GOLDBACH CODES DALAM KOMPRESI FILE TEKS

Kompresi file teks dapat memadatkan ukuran dari suatu file teks agar lebih mudah dalam pengiriman data dan penyimpanan file teks tersebut. Kompresi teks dilakukan dengan memampatkan isi dari data teks tersebut. Metode Deflate dan algoritma Goldbach codes digunakan dalam proses kompresi, kedua metode di kombinasikan untuk menghasilkan data teks yang lebih kecil ukurannya dari ukuran data sebelumnya
Teachers in transition: A study on production of meanings in initial practice in inclusive education1

We analyzed the production of meanings in teachers’ positioning related to virtuous practices in inclusive education. A teacher in initial professional experience took part in four open-ended interviews sessions, data were submitted to a dialogic thematic analysis and a semantic map was produced. The position “being a teacher” generated 6 main themes that dialogically interact in multiple plans: teacher’s education; previous and present pedagogic practices; the role of the teacher; tensions and expectations. Results indicated that an ambivalence between Public Policy and the conditions of teacher’s education and work in inclusive schools regulated the participant’s discourse. We conclude that positions oriented towards virtuosity were linked to different levels of reflexivity on the teacher’s actions with students in inclusive education.
SYNTHESIS OF RECONFIGURABLE SLOTTED WAVEGUIDE ARRAY ANTENNA

Introduction Double mirror spherical antennas (DSA) are highly accurate and effective systems and are of great importance in antenna techniques. They are used in radio-astrology, remote space network and in other network spheres. The intensive development of the mentioned spheres entails the optimization of the antenna parameters. Accordingly the deliberate selection of the radiation system of those antennas is very important when solving a specific problem. For the optimatization of parameters of existing DSA and particularly the parameters of ROT-54/2.6 (radio optical telescope) [1] of Radio-physics Research Institute (RRI) Aragats Scientific Centre founded by RA academician Paris Herouni and for providing the multi-functionality the following conditions can be set on their radiation systems: • During radio-astrological measurements it is essential to define the radiation field polarization of any cosmic object. For this it is necessary to provide the elliptic polarization of the radiation field. • A multi-beam mode is required for increase in the effectivity of the distance scanning and for simultaneous observation of several objects • The transformation of the RP is necessary when there are sources of interference in the observation area as well as for solving some target problems. • A simultaneous maintenance of conducting and receiving operation mode. Designing of the antennas with reconfigurable and electrical scanning radiation pattern that provide a multi-beam elliptic polarization, the optimization of the structure and parameters are of the most actual problems that require new solutions.
6 : Rhizocompetence of culturable Holophaga ( Acidobacteria ) sp . in the leek ( Allium porrum ) rhizosphere

Holophaga is a minority group of Acidobacteria found in many soils. Due to its reduced abundance, this bacterial group may have been overlooked in previous studies of bacterial diversity in the rhizosphere. In the current chapter, cells of the recently-cultured Holophaga sp. CHC25 were found to be capable of colonizing sterilized leek roots, where they probably grew on diffusible compounds released from the roots. In experiments with an artifical rhizosphere, Holophaga sp. strain CHC25 cells consistently revealed raised numbers, as determined by Holophaga-specific qPCR, in the vicinity of leek roots. Using uninoculated soil, a similar observation was made for naturally occurring Holophagae. Furthermore, strain CHC25 cells were shown to migrate through soil towards the roots, which indicated the attractiveness of this niche. It was concluded that Holophagae, exemplified by strain CHC25, are leek rhizosphere competent Acidobacteria. This study is the first reporting on the ecology of Holophagae bacteria in the plant-soil ecosystem. Rhizosphere competence of Holophaga
Hand Motion and Posture Recognition in a Network of Calibrated Cameras

This paper presents a vision-based approach for hand gesture recognition which combines both trajectory and hand posture recognition. The hand area is segmented by fixed-range CbCr from cluttered and moving backgrounds and tracked by Kalman Filter.With the tracking results of two calibrated cameras, the 3Dhandmotion trajectory can be reconstructed. It is thenmodeled by dynamicmovement primitives and a support vectormachine is trained for trajectory recognition. Scale-invariant feature transform is employed to extract features on segmented hand postures, and a novel strategy for hand posture recognition is proposed. A gesture vector is introduced to recognize hand gesture as an entirety which combines the recognition results of motion trajectory and hand postures where a support vector machine is trained for gesture recognition based on gesture vectors.
Ecological Risk Assessment of Poly Aromatic Hydrocarbons in the West Port , Malaysia

Sediment samples collected from the West Port, West Coastal water of Malaysia, were analyzed by GC–MS in order to determine the degree of hydrocarbon contamination, and identify the sources of poly aromatic hydrocarbon and PAHs. Concentrations of PAHs in the port sediments ranged from 98.28 to 3630.22 μg/kg dw. The highest concentration was observed in stations which is closed to the coastline, this locations affected by intensive shipping activities and industrial inputs and they were dominated by the high molecular weight PAHs (4–6rings). Source identification showed that PAHs originated mostly from the pyrogenic source either from the combustion of fossil fuels, grass, wood and coal (majority of the samples) or from petroleum combustion (Port area). Regarding to risk index (HQ) estimation, only stations 13 (close to container terminal in West Port) is moderately polluted and the rest of stations were in rare or slight adverse biological effects with the PAHs exposure in surface sediment, suggesting PAHs are not considered as contaminants of concern in the West Port.
Long Memory and Nonlinearities in Peruvian In ation Rate Giovanni Caggiano

We analyze the dynamic properties of the Peruvian ination at the aggregate and disaggregated levels using the approach based on the autocorrelation function (ACF). We concentrate in two properties: long memory and nonlinearities. These properties are introduced as a consequence of aggregation of heterogeneous and correlated unities. Because the total CPI is a weighted average of individual prices of goods, long memory and nonlinearities are found. We use two competing models to estimate the sample ACF: classical linear approach and the non-linear approach proposed by Abadir and Talmain (2002) and Abadir, Caggiano and Talmain (2005). The results show a strong persistence in aggregate unities. Selection of lag lenth is very heterogenous. Estimations based on the non-linear approach are much better than estimations based on the traditional linear approach. Keywords: Ination, Autocorrelation Function, Long Memory, Nonlinearities JEL: C22, E52, E58 We thank comments of the participants of the XXVI Meeting of Economists of the Central Reserve Bank of Peru. yAddress for Correspondence: Gabriel Rodríguez, Banco Central de Reserva del Perú, Subgerencia de Investigación Económica, 441-445 Jr. Miroquesada, Lima 1, Lima, Peru. Telephone: +511-613-2000 (3970), Fax: +511-613-2516, Email address: gabriel.rodriguez@bcrp.gob. pe. 1 Introduction In an AR(1) process, under the assumption that the autoregressive coe¢ cient is less than unity, the autocorrelation function is strictly convex and decay towards zero at an exponential rate. However, nancial and macroeconomic time series may have a complicated dependence structure which can not be adequately modeled using a lineal process. Let y be an aggregate time series obtained as the weighted sum of individual unities (yi): y = N X
Chapter 1 A Systematic Review : Polyphenol Contents in Stressed-Olive Trees and Its Fruit Oil Muhittin Kulak and Hakan Cetinkaya

Olive oil includes high amounts of phenols and polyphenols. Through health benefits to humans, the antioxidant role of polyphenols that contain more than two phenolic hydroxyl groups has been well proven. Of those polyphenols, oleuropein, hydroxytyrosol, catechin, chlorogenic acids, hesperidin, nobiletin, and isoflavones are major compounds. Along with the present study, (1) the uses and biological roles of polyphenols have not been limited to their physiological roles to human health; their physiological roles for plant and aromatic values for plant are also evaluated; (2) possible roles of major components in response to environmental stressors are discussed; (3) bibliometric analysis of studies concerned with polyphenols in olive fruit oil has been done to evaluate the research trends concerned with polyphenol in olive fruit oil, considering the main theme of the studies. The study is concluded with highlights, limitation, and future outlooks.
Improving Emotional Intensity Classification using Word Sense Disambiguation

During the last years, sentiment analysis has become a very popular task in Natural Language Processing. Affective analysis of text is usually presented as the problem of automatically identifying a representative emotional category or scoring the text within a set of emotional dimensions. However, most existing approaches determine these categories and dimensions by matching the terms in the text with those presented in an affective lexicon, without taking into account the context in which these terms are immersed. This paper presents a method for the automatic tagging of sentences with an emotional intensity value, which makes use of the WordNet Affect lexicon and a word sense disambiguation algorithm to assign emotions to concepts rather than terms. An extensive evaluation is performed using the metrics and guidelines proposed in the SemEval 2007 Affective Text Task. Results are discussed and compared with those obtained by similar systems in the same task.
4 USING ENSEMBLE TECHNIQUES IN FIRE-GROWTH MODELLING

One aspect that has not been fully addressed is the role of the weather forecast and the reliability of such forecasts over time. For the most part, deterministic fire-growth models have worked on the assumption that the detailed meteorological data being used by the system is accurate and reliable. Since weather cannot be accurately predicted beyond a few days (Smagorinsky 1967), this severely limits the medium to long-range application of fire-growth modelling.
Title deTector : a Topology-aware Monitoring System for Data

Troubleshooting network performance issues is a challenging task especially in large-scale data center networks. This paper presents deTector, a network monitoring system that is able to detect and localize network failures (manifested mainly by packet losses) accurately in near real time while minimizing the monitoring overhead. deTector achieves this goal by tightly coupling detection and localization and carefully selecting probe paths so that packet losses can be localized only according to end-to-end observations without the help of additional tools (e.g., tracert). In particular, we quantify the desirable properties of the matrix of probe paths, i.e., coverage and identifiability, and leverage an efficient greedy algorithm with a good approximation ratio and fast speed to select probe paths. We also propose a loss localization method according to loss patterns in a data center network. Our algorithm analysis, experimental evaluation on a Fattree testbed and supplementary large-scale simulation validate the scalability, feasibility and effectiveness of deTector.
Towards a Relative-Pitch Neural Network System for Chorale Composition and Harmonization

Computational creativity researchers interested in applying machine learning to computer composition often use the music of J.S. Bach to train their systems. Working with Bach, though, requires grappling with the conventions of tonal music, which can be diﬃcult for computer systems to learn. In this paper, we propose and implement an alternate approach to composition and harmonization of chorales based on pitch-relative note encodings to avoid tonality altogether. We then evaluate our approach using a survey and expert analysis, and ﬁnd that pitch-relative encodings do not signiﬁcantly aﬀect human-comparability, likability or creativity. However, an extension of this model that better addresses the criteria survey participants used to evaluate the music, such as instrument timbre and harmonic dissonance, still shows promise.