Miracle-dz/UniFAR-FTUs huggingface dataset:
Fingerprinting Chemical Markers in the Mediterranean Orange Blossom Honey: UHPLC-HRMS Metabolomics Study Integrating Melissopalynological Analysis, GC-MS and HPLC-PDA-ESI/MS

(1) Background: Citrus honey constitutes a unique monofloral honey characterized by a distinctive aroma and unique taste. The non-targeted chemical analysis can provide pivotal information on chemical markers that differentiate honey based on its geographical and botanical origin. (2) Methods: Within the PRIMA project “PLANT-B”, a metabolomics workflow was established to unveil potential chemical markers of orange blossom honey produced in case study areas of Egypt, Italy, and Greece. In some of these areas, aromatic medicinal plants were cultivated to enhance biodiversity and attract pollinators. The non-targeted chemical analysis and metabolomics were conducted using ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC-HRMS). (3) Results: Forty compounds were disclosed as potential chemical markers, enabling the differentiation of the three orange blossom honeys according to geographical origin. Italian honey showed a preponderance of flavonoids, while in Greek honey, terpenoids and iridoids were more abundant than flavonoids, except for hesperidin. In Egyptian honey, suberic acid and a fatty acid ester derivative emerged as chemical markers. New, for honey, furan derivatives were identified using GC-MS in Greek samples. (4) Conclusions: The application of UHPLC-HRMS metabolomics combined with an elaborate melissopalynological analysis managed to unveil several potential markers of Mediterranean citrus honey potentially associated with citrus crop varieties and the local indigenous flora.
Extensional-compressional tectonics associated with the Aegean Arc: comparison with the Andean Cordillera of south Peru - north Bolivia

Extensional-compressional tectonics are analysed along the convergent boundaries of the Aegean Arc and of the Andean Cordillera of south Peru and north Bolivia. This paper deals only with deformations of Miocene, Pliocene and Pleistocene ages. The prevailing regime in the Aegean basin is extensional. Yet two compressional tectonic phases of U. Miocene—L. Pliocene and of L. Pleistocene age have been recorded. They are also known in many places all around the Mediterranean. Thus forces that induce compressional tectonics in the Aegean seem to have their origin outside the region. They seem to be linked with changes in the conditions of convergence (change in rate? ) between the Arabo-African and Eurasian plates. Beneath the Andean Cordillera of south Peru — north Bolivia, the subduction zone plunges at an angle of 25- 30° as it does under the Aegean Arc. There, as in the Aegean Sea, tectonics are predominantly extensional and several short-lived compressional phases break up this extensional regime. The latter may also be induced by changes of the conditions of convergence, here between the Nazca and South American plates. Beneath central Peru, north of the Nazca Ridge, the subduction zone plunges at a small angle, about 10°. There, neotectonic deformations are different. In the Recent they are essentially compressional or expressed by strike-slip faulting. Geological data from the Aegean and Andes seem to demonstrate that the compressional deformation in the crust above subduction zones is strongly controlled by the stress conditions along convergent boundaries.
The possibility of atmospheric monitoring for ˇ Cerenkov telescopes

Ground-based astronomical observations are influenced by scattering and absorption by molecules and aerosols in the Earth's atmosphere. They are additionally affected by background emission from scattered moonlight, zodiacal light, scattered starlight, the atmosphere, and the telescope. These influences vary with environmental parameters like temperature, humidity, and chemical composition. Nowadays, this is corrected during data processing, mainly using semi-empirical methods and calibration by known sources. Part of the Austrian ESO in-kind contribution was a new model of the sky background, which is more complete and comprehensive than previous models. While the ground based astronomical observatories just have to correct for the line-of-sight integral of these effects, the y Cerenkov telescopes use the atmosphere as the primary detector. The measured radiation originates at lower altitudes and does not pass through the entire atmosphere. Thus, a decent knowledge of the profile of the atmosphere at any time is required. The latter cannot be achieved by photometric measurements of stellar sources. We show here the capabilities of our sky background model and data reduction tools for ground-based optical/infrared telescopes. Furthermore, we discuss the feasibility of monitoring the atmosphere above any observing site, and thus, the possible application of the method for y Cerenkov telescopes.
Poiseuille flow in a nanochannel – use of different thermostats

Poiseuille flow of a liquid in a nano-channel is simulated by molecular dynamics by embedding the fluid particles in a uniform force field. The channel is periodic in y and z directions and along x direction it is bounded by atomic walls. The imposition of the body force generates heat in the system leading to shear heating and a non-uniform temperature rise across the channel. In this nonequilibrium system, one can attempt to control temperature in different ways: velocity rescaling, thermostats or wall-fluid coupling. We evaluate and compare different methods critically by analyzing the fluctuations and time averaged quantities from various simulations. When particles will be inserted into the flow, it is expected that the dynamics will depend on the thermostat chosen. First observations show little influence of the thermostats on single tracer particles – this needs further study.
Intelligent voting via face recognition and detection

A tool for facial recognition is a technology that can recognise or verify a person from a digital image or from a source of video. There are many ways facial recognition systems work, but usually they work by matching selected facial features within a database from a given image with faces. It is also known as a Biometric Artificial Intelligence-based application that can uniquely identify a person by analysing patterns based on the individual’s facial textures and shape. In this method, we use three authentication steps for the electors will be used. The first step is the verification of the UID, the second step is the number of the voter card and the third step is the verification, which includes different algorithms for facial recognition. We will offer a comparative analysis between these algorithms in this paper, namely: FisherFace, SURF & Eigenface.
A continuum theory for smectic liquid crystals allowing layer dilation and compression

We present a continuum theory for smectic liquid crystals which allows variable molecular tilt and layer spacing by relating the two. This compressible theory is employed to predict the effect of ‘homeotropic’ type ordering at the plates on a planar Sm C sample. Such a boundary condition induces dilation of individual Sm C layers near the bounding plates.
Effect of Ternary Element Addition on Properties of TiNi-Based Shape Memory Alloys for Engineering and Medical Applications

Shape memory alloys (SMAs) are a type of smart material and have excellent engineering and medical applications. TiNi binary alloys possess remarkable shape recovery, mechanical properties, corrosion resistance, and excellent biocompatibility. By ternary elements addition just like Au, Pt, Pd, Hf, and Zr, increases transformation temperatures, leading to high-temperature shape memory alloys (more than 100°C) but other elements (Fe, Cu, Co, and Mo) form low-temperature shape memory alloys, (lower than 100°C). In the present work, it is reported that the effect of ternary element addition on microstructural properties, shape memory properties, mechanical properties, corrosion resistance, and biocompatibility of ternary shape memory alloys. Ag, Au, and Cu-based TiNi ternary alloys have excellent biocompatibility. The addition of ternary elements such as Ag and Nb increases corrosion resistance, Fe rises the hysteresis loop, Hf enhances thermal stability, and Mo raises workability.
FORMATION FLIGHT OF SATELLITES IN THE PRESENCE OF ATMOSPHERIC DRAG

The subject of this paper is the investigation of the effects of aerodynamic forces on the formation flight of satellites and the assessment of using differential drag as a means for formation maintenance. In order to study spacecraft formation flight in low Earth orbits, it is essential to consider the effect of J2. Schweighart and Sedwick have presented a set of linearized differential equations of motion, an extension of the Clohessy-Wiltshire equations, which includes the J2 effects and are valid for circular orbits. In this paper, the Schweighart-Sedwick equations are modified to include the effects of atmospheric drag while maintaining their linearity and simplicity. These ideas are then extended to include reference orbits of small eccentricity. This results in a set of linear differential equations of motion which takes into account J2 and drag perturbations as well as the elliptic nature of the reference orbit. Numerical simulation results based on the model are presented which characterize the effects of drag on projected circular type formations in the context of two different formation flying missions. It is shown that it is feasible to use differential drag to maintain a projected circular formation through simple panel rotation schemes.
Density based clustering and fuzzy clustering for efficient clustering of big data in hadoop ecosystem

In this paper suggesting to use parallel distributed Hadoop Map Reduce technology. Map Reduce is a parallel technology which can process bigdata by creating multiple instances of thread. Map will take input data and split it into multiple chunks or parts and distribute all parts to different reducers. All reducers will process the data and send result back to mapper. Mapper gather output from all mappers and then generate a single output. Due to multiple parallel processing of Map Reduce technology allow us to process any amount of data. In this paper author describing clustering algorithms such Density Based Clustering and Fuzzy Clustering. Both algorithms are not efficient to group all similar data to single cluster and make some data to compromise by putting little un-similar to different clusters. To implement this project author is using National Climatic Data Center (NCDC) dataset which contains climate information. To find out similar temperature on different dates author is applying Hybrid clustering algorithm. From this dataset author is using date and temperature value and then passing date as key to Mapper and temperature as value to Mapper. Mapper always read data in the form of key value pairs. In dataset date we can find at position 6 to14 and temperature we can find at position 39 to 45. Below are some dataset example values.
Linear analysis of the wave field during a lee wave event of the PYREX campaign;Lineare Analyse des Wellenfeldes während eines Lee-Wellen Ereignisses des PYREX-Experiments

The vertical and horizontal perturbation velocities observed during a lee wave event of the PYREX campaign are compared with the results of a linear analytic model. This model uses the radiosonde data of Zaragoza for the same day to calculate (up to a constant) the dependence of these velocities on the altitude, the calculation is done via the recently developed Complex Coordinate Method. The calculated and the measured velocities and wavelengths agree reasonably well and the zero value of the calculated momentum flux is also in agreement with the measurements. An attempt is made to relate the observed instationarity of the wave field to the synoptic conditions on the day of the measurements.
A Constraint-Based Generalization Model Incorporating a Quality Control Mechanism

Automation in map production has created the need for modeling the map composition process. Generalization is the most critical process in map composition, with considerable impact on the quality of features portrayed on the maps. Modeling of the generalization process has been an area of research for several years in the international cartographic community. Constraint-based generalization modeling prevailed, and it is evolving to an agent model or to other optimization models. The generalization model presented in this paper is based on constraint-based modeling. It introduces the standardization of the semantic and cartographic generalization process together with an evaluation mechanism for the assessment of the quality of the resulting cartographic data considering simultaneously the preservation of the shape of the portrayed linear and area features. For cartographers, quality management is a key factor in creating an evidence-based, reliable product. To achieve this objective, cartographers, drawing on international experience, should implement a quality policy and adopt a quality management system (QMS) as an integral part of the map production process, starting with the quality assessment of the input data and finishing with the evaluation of the final product.
FRACTIONAL CALCULUS OPERATOR AND CERTAIN APPLICATIONS IN GEOMETRIC FUNCTION THEORY

Using a operator involving fractional calculus introduced by Owa and Srivastava (8), two novel families: V fi;fl - (";∞) and W fi;fl - (";∞) (- 6 0; fi < 1; fl < 1; ∞ < 1; " ‚ 0; " 2 (i1;0) ( (0;1)) of functions f(z) which are analytic and univalent in the open unit disk U are deflned. Moreover some consequences of main results are shown.
Principal Component Regression by Principal Component Selection

Abstract We propose a selection procedure of principal components in principal component regression. Our methodselects principal components using variable selection procedures instead of a small subset of major principalcomponents in principal component regression. Our procedure consists of two steps to improve estimation andprediction. First, we reduce the number of principal components using the conventional principal componentregression to yield the set of candidate principal components and then select principal components among thecandidate set using sparse regression techniques. The performance of our proposals is demonstrated numericallyand compared with the typical dimension reduction approaches (including principal component regression andpartial least square regression) using synthetic and real datasets.Keywords: Biased estimation, dimension reduction, penalized regression, principal componentregression, principal component selection. 1. Introduction Regression model is a popular statistical model for data analysis. Under fairly general conditions,the ordinary least squares (OLS) estimator of the regression model has many desirable properties,including unbiasedness and minimum variance. Multicollinearity deteriorates OLS estimator quality.Multicollinearity often arises in many real-world applications where the set of explanatory variableshas the nearly linear dependence or the sample size is smaller than the variable size. Two types ofbias estimation are widely used to address such situation. One of them is regularization method,where model parameters are selected under a certain constraint. Popular regularization methods forregressionareridgeregression,Lasso,andotherpenalizedregressionmethods. Theotherisdimensionreductionmethods(suchasprincipalcomponentregression(PCR)andpartialleastsquaresregression(PLSR)) where explanatory variable space is decomposed into orthogonal directions and only someof them are used for model building. Both of approaches produce biased estimators, but often have asmaller variance than OLS estimators. This property (incurring bias and reducing variance) improvesestimation and prediction, and this is the reason why biased estimation methods are popular. Moreaccounts can be found in standard textbooks (Bishop, 2006; Hastie
Biological Insight and Recent Advancement in the Treatment of Neuroblastoma

One of the most frequent solid tumors in children is neuroblastoma, which has a variety of clinical behaviors that are mostly influenced by the biology of the tumor. Unique characteristics of neuroblastoma includes its early age of onset, its propensity for spontaneous tumor regression in newborns, and its high prevalence of metastatic disease at diagnosis in individuals older than 1 year of age. Immunotherapeutic techniques have been added to the previously enlisted chemotherapeutic treatments as therapeutic choices. A groundbreaking new treatment for hematological malignancies is adoptive cell therapy, specifically chimeric antigen receptor (CAR) T cell therapy. However, due to the immunosuppressive nature of the tumor microenvironment (TME) of neuroblastoma tumor, this treatment approach faces difficulties. Numerous tumor-associated genes and antigens, including the MYCN proto-oncogene (MYCN) and disialoganglioside (GD2) surface antigen, have been found by the molecular analysis of neuroblastoma cells. The MYCN gene and GD2 are two of the most useful immunotherapy findings for neuroblastoma. The tumor cells devise numerous methods to evade immune identification or modify the activity of immune cells. In addition to addressing the difficulties and potential advancements of immunotherapies for neuroblastoma, this review attempts to identify important immunological actors and biological pathways involved in the dynamic interaction between the TME and immune system.
Exploring the extent to which Universities in Ghana Deploy Knowledge Management Processes in their Activities

Universities are knowledge-based organisations. They are using knowledge as a key resource and for competitive advantage. Knowledge management practices seems to be suitable for universities because they possess the conducive environment and systems. This study sought to assess the extent to which KM was practiced at the universities and the mechanisms and initiatives implemented to promote KM processes at the universities. The study adopted the survey and mixed method research approach to collect data from 118 respondents from three universities in Ghana (public, private and professional). Questionnaires (consisting of blend of closed and open-ended questions) were used to collect primary data. The study established that despite the high presence of knowledge management processes (acquisition, creation, sharing and retention) at the universities, the practice was more effective at the private university than the professional and public universities respectively. These KM processes improved efficiency, effectiveness, decision-making capabilities. However, the absence of trust, openness and collaboration; difficult access to technology; and lack of support and mechanisms to promote informal discussions between staff and management of the universities negatively affected KM processes.
Operational Ensemble Prediction at the National Meteorological Center: Practical Aspects

Abstract On 7 December 1992 NMC began operational ensemble prediction. The ensemble configuration provides 14 independent forecasts every day, verifying on days 1 through 10. The ensemble members are generated through a combination of time lagging [Lagged-Average Forecasting] and a new method, Breeding of Growing Modes (Toth and Kalnay). In adopting the ensemble approach, NMC explicitly recognizes that forecasts are stochastic, not deterministic, in nature. There is no single solution, only an array of possibilities, and forecast ensembles provide a rational basis for assessing the range and likelihood of alternative scenarios. Given the near saturation of computer resources at NMC, implementation of ensemble prediction required a trade-off between model resolution and multiple runs. Before 7 December 1992, NMC was producing a single global forecast through 10 days with the highest-resolution (T126) version possible of its medium-range forecast model. Now, based an experiments that showed no adverse impac.
Infinitesimal Rigidity for the Action of SL(n, ℤ) on n

Let r = SL(n, Z) or any subgroup of finite index. Then the action of r on Tn by automorphisms is infinitesimally rigid for n > 7, i.e., the cohomology H I(r, Vec(Tn)) = 0, where Vec(T? n) denotes the module of C? vector fields on T".
VORTEX PARADIGM FOR ACCELERATED INHOMOGENEOUS FLOWS: Visiometrics for the Rayleigh-Taylor and Richtmyer-Meshkov Environments

▪ Abstract We illustrate how cogent visiometrics can provide peak insights that lead to pathways for discovery through computer simulation. This process includes visualizing, quantifying, and tracking evolving coherent structure morphologies. We use the vortex paradigm (Hawley & Zabusky 1989) to guide, interpret, and model phenomena arising in numerical simulations of accelerated inhomogeneous flows, e.g. Richtmyer-Meshkov shock-interface and shock-bubble environments and Rayleigh-Taylor environments. Much of this work is available on the Internet at the sites of my collaborators, A Kotelnikov, J Ray, and R Samtaney, at our Vizlab URL, http://vizlab.rutgers. edu/vizlab.html.
High-efficiency control of spin-wave propagation in ultra-thin yttrium iron garnet by the spin-orbit torque

We study experimentally with submicrometer spatial resolution the propagation of spin waves in microscopic waveguides based on the nanometer-thick yttrium iron garnet and Pt layers. We demonstrate that by using the spin-orbit torque, the propagation length of the spin waves in such systems can be increased by nearly a factor of 10, which corresponds to the increase in the spin-wave intensity at the output of a 10 μm long transmission line by three orders of magnitude. We also show that, in the regime, where the magnetic damping is completely compensated by the spin-orbit torque, the spin-wave amplification is suppressed by the nonlinear scattering of the coherent spin waves from current-induced excitations.
Unitary Groups Generated by Reflections

A reflection in Euclidean n-dimensional space is a particular type of congruent transformation which is of period two and leaves a prime (i.e., hyperplane) invariant. Groups generated by a number of these reflections have been extensively studied [5, pp. 187-212]. They are of interest since, with very few exceptions, the symmetry groups of uniform polytopes are of this type. Coxeter has also shown [4] that it is possible, by Wythoff's construction, to derive a number of uniform polytopes from any group generated by reflections. His discussion of this construction is elegantly illustrated by the use of a graphical notation [4, p. 328; 5, p. 84] whereby the properties of the polytopes can be read off from a simple graph of nodes, branches, and rings.
New CG Method for Large-Scale Unconstrained Optimization Based on Nazareth theorem

In this paper we present new conjugate gradient method for computing the minimum value of differentiable real valued function in n variables ,this method derived from Nazareth theorem , which uses the equivalence of CG and Qusi-Newton methods on quadratic function also the descent property and Conjucy conditions are proved and compared with some well know CG method showing considerable improvement .