Miracle-dz/UniFAR-FTUs huggingface dataset:
Almond milk fermented with different potentially probiotic bacteria improves iron uptake by intestinal epithelial (Caco-2) cells

New fermented almond milks were developed, using different potentially probiotic bacteria, in order to meet the current demand for healthy, versatile non-dairy products. An in vitro digestion/Caco-2 cell model was used to evaluate the effect of both non-fermented and fermented almond milks on the mitochondrial enzymatic activities of enterocytes. Moreover, macrophages were challenged with the in-vitro digested samples and the production of pro-inflammatory biomarkers TNF-a and IL-6 was quantified. Enzymatic activities of cell cultures seemed to be stimulated by the exposure to both fermented and non-fermented almond milks . Both biomarkers decreased (p< 0.05) in fermented almond milks with either B. bifidum or B. longum . Results showed that fermented almond products favored the energetic metabolism of enterocytes and had a lower inflammatory response than non-fermented almond milk , suggesting its benefits for the management of allergies/intolerances. Moreover, the fermentation process enhanced the uptake of iron by Caco-2 cells, especially when using L . rhamnosus and either B. bifidum or B. longum as starters, thus improving the product bioactivity. Therefore, new non-dairy fermented products with functional properties were developed, which might be positioned as alternatives to cow-milk products for sensitized groups of population (allergic and/or intolerant to cow milk or anemic population, among others).
From non-cooperative CO2 abatement strategies to the optimal world cooperation: Results from the integrated MARKAL model

In order to study the conditions for a world self-enforcing agreement on climate change, we model cooperative and non-cooperative world climate strategies with an integrated version of the world 15region techno-economic MARKAL model in which abatement costs and climate related damages are both included. Assuming interregional transfers to share the global gain of cooperation, our work adopts the point of view of dynamic partial equilibrium computation coupled with cooperative game-theoretic principles. The results illustrate how the climatic and economic gap between cooperation and noncooperation, the willingness of regions to cooperate, and the amount of side-payments, depend on the level and distribution of climate damages, the abatement costs, and the emission levels in the reference case. The internal (in)stability of farsighted coalitions without transfers (non-cooperation) is also analyzed. The current project appears to be the first one of the sort using a world, large and detailed technology explicit model such as MARKAL. 1 Research done with financial support from the Natural Sciences and Engineering Research Council of Canada and the Fonds Quebecois de recherche sur la Nature et les Technologies 2 GERAD and Universite du Quebec a Montreal 3 GERAD and McGill University
About One-Dimensional Conservative Systems with Position Depending Mass

For a one-dimensional conservative systems with position depending mass, one deduces consistently a constant of motion, a Lagrangian, and a Hamiltonian for the non relativistic case. With these functions, one shows the trajectories on the spaces $(x,v)$ and ($x,p)$ for a linear position depending mass. For the relativistic case, the Lagrangian and Hamiltonian can not be given explicitly in general. However, we study the particular system with constant force and mass linear dependence on the position where the Lagrangian can be found explicitly, but the Hamiltonian remains implicit in the constant of motion.
The Social News Network: The Appropriation of Community Labour in CNN's iReport

In November 2011, Jack Womack, a senior vice president at the US-based cable news station CNN, announced that the network would lay off approximately fifty workers, in part because “new technology in desk-top editing and user-generated content and social media have made some editing and photojournalism positions redundant. ” Within days of this announcement, CNN re-launched their citizen journalism website iReport.com. The site had been in operation for five years, collecting user-generated content in exchange for the promise to “take part in the news with CNN. ” However, many people simply want to share with a small circle of friends or family. Newly-incorporated social networking elements thus emphasize participation within a community, disguising the generation of labour as socialization and play. By associating iReport with this community-driven ethos, CNN is able to guarantee the production of specialized content and capitalize on the immaterial labour of online iReport communities.
Thermodynamics Property of Magnetic Materials in a Ferromagnetic System using the Ising Model

There is hardly any branch of physics one can approach successfully without resorting to quantum statistical mechanics. It has been proven that the quantum mechanical description of a system gives accurate results. To use quantum statistical mechanics, the system are treated at their microscopic level. Most systems consist of many particles and in order o deal with such large numbers, one has to resort to statistical method related to the partition function of statistical mechanics. In this study, we haves used the partition function which is a statistical parameter to explore the thermodynamic properties such as Helmoltz free energy, Entropy, internal energy and heat capacity of a magnetic materials in a ferromagnetic system using the first and second dimensional Ising model. The results show that in one-dimensional model, phase transition does not occur at finite temperature but susceptibility of a system can be measured from the fluctuations in the magnetization in the second dimensional Ising model.
A Usage-Centered Evaluation Methodology for Unmanned Ground Vehicles

This paper presents a usage-centered evaluation method to assess the capabilities of a particular Unmanned Ground Vehicle (UGV) for establishing the operational goals. The method includes a test battery consisting of basic tasks (e.g., slalom, funnel driving, object detection). Tests can be of different levels of abstraction, and be performed in a virtual or real environment. In this way, several candidate UGV’s in a procurement program can be assessed, and thus compared. Also, it can give directions to research on improving human-robot interfaces. A first case study of this methodology conveyed capability differences of two alternative user interfaces for a specific UGV with their operational impact.
Analyzing the Nucleotide Variations within the Expressed Sequence Tags of Loblolly Pine (Pinus taeda)

Single nucleotide polymorphisms (SNPs) represent the most frequent variations in eukaryotic genomes. For example, the frequency of SNPs is one per kilobase in human [1], one every 78 base pair (bp) in grapevine [2], and one every 43 bp in maize [3]. SNPs have proven to be useful genetic tools in many genetic studies, including molecular breeding, population genomics, genetic diversity, and cultivar identification [4].
The search for co-integration between money, prices and income: low frequency evidence from the Turkish economy

In this paper, we aim to test the empirical validity of the QTM relationship for the Turkish economy. Using some contemporaneous time series estimation techniques, our estimation results reveal that stationarity characteristics of the velocities of currency in circulation and the broad money aggregate in the economy cannot be rejected through a quantity theoretical co-integrating long-term variable space. We find that there exists an about one-to-one proportionality between money and prices and money and real income, and that the exogeneity of money cannot be rejected for the currency in circulation in the economy. But, the exception here comes from the broad monetary aggregate used in the QTM equation such that money seems to be endogenous as for the long-term variable space.
Deforestation affects biogeographical regionalization: a case study contrasting potential and extant distributions of Mexican terrestrial mammals

We used ecological niche modelling projected as species' potential (based on the original vegetation map) and extant (based on the 2000 land use and vegetation map) distributions to analyse changes on patterns of endemism of terrestrial mammals occurring in Mexico. Based on the biogeographic method of Parsimony Analysis of Endemicity, we obtained cladograms under scenarios of species' potential distribution (t1) and extant distributions (t2). We found that the resolution of consensus cladogram in t2 was poorer, while there were more geographic synapomorphies in t1, and more autapomorphies in t2 due to a reduction of species' distributions as a consequence of deforestation. We defined a hierarchical regionalization with two regions with the cladogram of t1; a transitional zone, two subregions, five dominions, and 15 provinces. Conversely, the consensus cladogram of t2 had a basal trichotomy, and the position of the Sierra Madre Occidental changed compared with t1. In t1 and t2, the Yucatán Peninsula+Chiapas+Isthmus of Tehuantepec clade was maintained, although in t2 it was separated from the remaining areas of the country. The impact of deforestation on species distributions strongly affected the biogeographic regionalization of terrestrial mammals in Mexico.
THE SOURCES AND DYNAMICS OF EMOTIONS IN ENTREPRENEURSHIP EDUCATION LEARNING PROCESS

The study investigates student experiences of entrepreneurship education and focuses on gaining a better understanding of the main sources of emotions as well as the role and dynamics of emotions in learning. Data was collected in three entrepreneurship education settings in Estonia, Finland and Namibia using in-depth interviews (N = 79) and was analysed using qualitative thematic analysis. As a result, three themes highlighting the main sources of emotions were identified: 1) new kind of learning environment, 2) collaborative learning, and 3) challenging tasks. The learning environment sub-categories were: 1a) uncertainty and confusion, 1b) theory versus practice and 1c) support from outside. The collaborative learning sub-categories consist of: 2a) teamwork, 2b) time pressure and 2c) individual differences. Challenging tasks had the sub-categories: 3a) overcoming knowledge and skills gaps, 3b) interacting with the outside world and 3c) leadership and managing people. In addition, dynamic patterns of emotions in the course of learning processes were identified.
Evaluation of Repair Effect for Deteriorated Concrete Piers of Intake Dam Using AE Activity

Deteriorated concrete structures are repaired by means of grouting. In order to evaluate the repair effectiveness two NDT techniques namely seismic tomography and acoustic emission are applied. Using traveling time of elastic waves, structural velocity is estimated. AE activity is monitored along with water pressurization of the permeability test. As a result, contrary to the common expectation that the velocity increase after filling with grouting agent, enormous amount of velocity drop was obtained after repair due to the incomplete developing process of grout material, whereas AE activity showed dramatic decrease after repair. Furthermore after comparison of those results to the quantity of grouting material, it became clear that damage indices based on AE activity exhibited well the actual damage of concrete structures.
Spatially Homogeneous String Cosmological Models with Bulk Viscosity in f ( R , T ) Gravity Theory

We discuss the field equations in f(R,T) gravity theory for the general class of Bianchi models filled with bulk viscous fluid together with a one-dimensional cosmic strings. We obtain two classes of cosmological solutions of the field equation by setting the average scale factor and one of the scale factors of the model proportional to a power function of the spatial volume. One class of solution represents on accelerated expanding universe having in the infinite past singularity. The other class of solution also represents on accelerated expanding having singularity at the initial time. The physical and kinematical properties of the models are discussed. We observe that the models of the two classes are compatible with the results of recent observations. c ⃝ Electronic Journal of Theoretical Physics. All rights reserved.
Euglena Central Metabolic Pathways and Their Subcellular Locations

Euglenids are a group of algae of great interest for biotechnology, with a large and complex metabolic capability. To study the metabolic network, it is necessary to know where the component enzymes are in the cell, but despite a long history of research into Euglena, the subcellular locations of many major pathways are only poorly defined. Euglena is phylogenetically distant from other commonly studied algae, they have secondary plastids bounded by three membranes, and they can survive after destruction of their plastids. These unusual features make it difficult to assume that the subcellular organization of the metabolic network will be equivalent to that of other photosynthetic organisms. We analysed bioinformatic, biochemical, and proteomic information from a variety of sources to assess the subcellular location of the enzymes of the central metabolic pathways, and we use these assignments to propose a model of the metabolic network of Euglena. Other than photosynthesis, all major pathways present in the chloroplast are also present elsewhere in the cell. Our model demonstrates how Euglena can synthesise all the metabolites required for growth from simple carbon inputs, and can survive in the absence of chloroplasts.
Spatial Spillovers and Innovation Activity in European Regions

This paper explores the spatial distribution of innovative activity and the role of technological spillovers in the process of knowledge creation and diffusion across 175 regions of seventeen countries in Europe (the fifteen members of the pre-2004 European Union plus Switzerland and Norway). The analysis is based on a databank set up by CRENoS on regional patenting at the European Patent Office, spanning 1978–2001 and classified by ISIC sectors. The first step is an exploratory spatial data analysis of the dissemination of innovative activity in Europe. The goal of the rest of the paper is to analyse to what extent externalities that cross regional boundaries can explain the spatial association process detected in the distribution of innovative activity in the European regions. The framework given by the knowledge-production function together with the use of spatial econometrics techniques allow us to look for insights on the mechanics of knowledge interdependences across regions, which are shown to exist. Empirical results point to the relevance of internal regional factors (R&D expenditure and agglomeration economies). Moreover, the production of knowledge appears also to be affected by spatial spillovers due to innovative activity (both patenting and R&D) performed in other regions. Additional results show that spillovers are mostly constrained by national borders within less than 250 km, and that technological similarity between regions also matters.
A Novel Robust Model Predictive Controller for Aerospace Three-Phase PWM Rectifiers

This paper presents a novel Model Predictive Direct Power Control (MPDPC) approach for the pulse width modulation (PWM) rectifiers in the Aircraft Alternating Current Variable Frequency (ACVF) power system. The control performance of rectifiers may be largely affected by variations in the AC side impedance, especially for systems with limited power volume system. A novel idea for estimating the impedance variation based on the Bayesian estimation, using an algorithm embedded in MPDPC is presented in this paper. The input filter inductance and its equivalent series resistance (ESR) of PWM rectifiers are estimated in this algorithm by measuring the input current and input voltage in each cycle with the probability Bayesian estimation theory. This novel estimation method can overcome the shortcomings of traditional data based estimation methods such as least square estimation (LSE), which achieves poor estimation results with the small samples data set. In ACVF systems, the effect on the parameters estimation accuracy caused by the number of sampling points in one cycle is also analyzed in detail by simulation. The validity of this method is verified by the digital and Hard-in-loop simulation compared with other estimation methods such as the least square estimation method. The experimental testing results show that the proposed estimation algorithm can improve the robustness and the control performance of the MPDPC under the condition of the uncertainty of the AC side parameters of the three-phase PWM rectifiers in aircraft electrical power system.
Agro-Morphological Variability Assessment of Common Bean (Phaseolus vulgaris L.) Genotypes in High Hill Jumla, Nepal

Common bean (Phaseolus vulgaris L.) is the most important leguminous crop widely grown from Terai to high hills of Nepal covering 10,529 hectare land producing 15550 mt with the productivity of 1477 kgha-1 and Jumla occupies almost 21% of the total bean cultivated area of the country. For the experiment, twelve genotypes of common bean were collected from different locations of Nepal. The experiment was conducted at Agricultural Research Station Vijayanagar, Jumla Nepal from July, 2016 to October, 2016 in Randomized Complete Block Design with three replications and twelve treatments. Different agro-morphological characters were observed and wide variability was recorded in growth habit, flower color, seed color, seed shape, seed length (0.76-1.7cm), pod color, pod length(9.1-14.3 cm), plant height (57.1-116.5 cm), days to flowering (38-52 days) and maturity (74-90 days), number of pods plant-1 (9-22 seeds), number of seeds pod-1 (4-8 pods), hundred grain weight (18.3-54.7gm) and yield (2339-4164KgHa-1). Significant differences were found among genotypes for days to flowering, pod length, no of seeds pod-1 and yield hectare-1.The coefficients of determination illustrate the positive and significant association of grain yield hectare-1 with number of seeds pods-1, therefore these traits should be considered for genetic improvement through breeding.
Medicinal plants in traumatic brain injury: Neuroprotective mechanisms revisited

Traumatic brain injury (TBI) is the most prevalent health problem affecting all age groups, and leads to many secondary problems in other organs especially kidneys, gastrointestinal tract, and heart function. In this review, the search terms were TBI, fluid percussion injury, cold injury, weight drop impact acceleration injury, lateral fluid percussion, cortical impact injury, and blast injury. Studies with Actaea racemosa, Artemisia annua, Aframomum melegueta, Carthamus tinctorius, Cinnamomum zeylanicum, Crocus sativus, Cnidium monnieri, Curcuma longa, Gastrodia elata, Malva sylvestris, Da Chuanxiong Formula, Erigeron breviscapus, Panax ginseng, Salvia tomentosa, Satureja khuzistanica, Nigella sativa, Drynaria fortune, Dracaena cochinchinensis, Polygonum cuspidatum, Rosmarinus officinalis, Rheum tanguticum, Centella asiatica, and Curcuma zedoaria show a significant decrease in neuronal injury by different mechanisms such as increasing superoxide dismutase and catalase activities, suppressing nuclear factor kappa B (NF‐κB), interleukin 1 (IL‐1), glial fibrillary acidic protein, and IL‐6 expression. The aim of this study was to evaluate the neuroprotective effects of medicinal plants in central nervous system pathologies by reviewing the available literature.
State estimation applied to active distribution networks with minimal measurements

Traditionally, state estimation is applied to transmission networks to improve security and redundancy of the measurement system. This paper describes the application of state estimation to distribution networks in order to extend the observability of the network. Key features of this application are that the network is active, minimal real measurements are available and that there is minimal communications infrastructure. this paper presents results ffrom a field trial whihc manages voltages in an 11kV distribution network with distributed generation. The paper highlights the problems associated with this application and presents some solutions.
Comparison of Two Methods of Solvent Extraction of Phenolic Compounds from Pomegranate (Punica granatum L.) Peels

The present study aimed to evaluate effectiveness of Superheated Solvent Extraction (SSE) compared with instant Controlled Pressure Drop (DIC) assisted Solvent Extraction (DIC-SE) on total phenolic, flavonoids, and anthocyanins compounds from pomegranate peels. The effects of temperature, extraction time, and water:ethanol ratio for SSE method, and temperature and heating time for DIC-SE were studied. The highest phenolic compounds, flavonoids, and extraction yields by SSE was achieved at 160 ̊C, ethanol: water 50:50 and 20 minutes, subsequently in the DIC-SE, the most effectiveness was approached at 150 ̊C for 5 seconds (P< 0.05). The SSE improved the total phenolic compounds (563.16±1.04 mg g), anthocyanins (285.11±1.02 mg 100 g), extraction yield (68.7%) and shortened the extraction times compared to DIC-SE, but flavonoid content was more in DIC-SE extract (439.07±0.05 mg g). Based on HPLC analyses, gallic acid was not detected in any of the obtained extracts, but the amount of ellagic acid and punicalagin A and B in DIC-SE extract was higher than SSE. The current study clearly shows that the SSE is an effective extraction method to obtain phenolic compounds and the DIC is an advantageous pretreatment for extraction of flavonoids from pomegranate
Improvement Maintenance Processes through CMMS System-Case study

Computerized systems supporting maintenance management have been successfully applied in many industries. Over time, these systems have undergone significant transformations. When implemented, these systems allow optimization in the areas of: stockholding, parts and materials management, procurement, external services and maintenance and repair work, which contributes to the economic effects of the enterprise. This paper presents the benefits of implementing one of the CMMS modules benefiting from RFID technology in a medical device manufacturer. Keywords-maintenance management; CMMS; RFID
Dietary lysine requirement of juvenile Eurasian perch (Perca fluviatalis).

The aim of this study was to estimate the optimum dietary lysine requirement of juvenile Eura-sian perch (Perca fluviatalis), and to investigate the influence of different dietary lysine levels on growth, carcass composition, somatic indices and haematocrit value. A total of 240 juvenile perch was included in a 12-week feeding study. Based on the whole body amino acid profile of in total 48 perch of three different weight groups, eight semi-purified diets containing graded levels of lysine (L1-L8) were produced. The diets contained approximately 12% crude lipid and 40% crude protein and the lysine level varied from 12.2 (L1) to 24.3 (L8) g kg-1 dry matter (DM). Approximately 40% of the total nitrogen content in the diets was in the form of protein-bound amino acids. The ideal protein concept was applied for estimation of the amino acid re-quirements. Fish fed diets L5-L8 (18.3-24.3 g lysine kg-1 DM) had higher final body weight, weight gain, protein gain and specific growth rate (P