Miracle-dz/UniFAR-FTUs huggingface dataset:
BUILDING ARCHETYPES IN URBAN ENERGY MODELS . A COMPARATIVE CASE STUDY OF DETERMINISTIC AND STATISTICAL METHODS IN ANDORRA

In the field of urban building energy models (UBEM), numerous efforts have been made to establish a sound methodology to approach the urban reality of each city. Within this framework, this paper presents a comparative study of two methodologies to determine representative archetypes. We assess these methodologies through a case study in Escaldes-Engordany (the Principality of Andorra), which is representative of medium-sized urban areas in the Pyrenees. We present a workflow for classifying residential buildings using a statistical approach to the available data. We describe the steps followed to construct the archetypes in order to set the bases for a new methodology that can be replicated in other urban contexts. We compare our statistical methodology with a deterministic approach based on local expertise. In a deterministic method, buildings are classified according to existing bibliography and two main variables: building use and year of construction. This first classification is compared with that obtained by defining groups using the metered energy consumption and statistical variables of buildings. The statistical method draws upon the local administration’s official databases and is complemented with other information sources such as population and housing censuses, regulatory and technical literature, and the monthly metered electricity consumption of all buildings. Data are processed through statistical methods to group them by similar energy consumption behaviour. Our results show the benefits of the statistical method, as buildings can be characterised not only by their use and constructive technique, but also by their form, dimension location, and occupancy behaviour.
Study of the diet of Crassostrea gasar in the lagoon Ebrie Ivory Coast

Web Address: http://ecologyresearch.info/ documents/EC0678.pdf ABSTRACT: The diet of Crassostrea gasar was studied in the sectors II, III and IV of the lagoon Ebrié precisely on the sites of Moossou, Bimbresso and Lokodjro of Ivory Coast. A monthly sampling of oysters was conducted and their prey were determined by microscopic observation of the stomach contents. No empty stomach was observed. The phytoplactoniques and zooplankton prey were counted through malassez cell and tank dollfuss respectively. The stomach contents consisted mainly of phytoplankton, zooplankton, debris and indeterminate elements. However, phytoplankton, regardless of the site, the time of year, the size of individuals, sex and sexual maturity remained dominant in all the observed stomachs. The results showed 98.91%, 97.23% and of phytoplankton 98.86%, Moossou in Bimbresso and Lokodjro respectively. Males had 97.64 phytoplankton and those of females had, 98.22% in their stomach. The percentage of phytoplankton ranged between 91.13% and 99.2% taking into account the seasons and sites. Phytoplankton dominated the stomachs in an amount of 97.07% for individuals at stage whereas it was 0, 96.2%, 96.37% and 94.19% for the stage 1, 2 and 3 respectivley.
POLYMER NANOCOMPOSITES BASED ON FUNCTIONALIZED CARBON NANOTUBES

The applications of polymer can be reached world widely including the thing we used to write, to wear, to communicate, to sleep and so on. Never imagine the day without polymer, whole world will stop moving without it. Nowadays, scientist and engineer are trying hard to make further improvement to the polymer properties such adding of nanofiller for better applications in human‟s life. Carbon nanotube (CNT) is an allotrope of carbon that found to be nanofiller that able to enhance the properties of original polymer. The objective of this research is to identify the improvement of the properties on polycarbonate (PC) by adding CNT as additive. The experimental parameters of this research included the composition of the CNT and treated CNT in matrix of PC. In this study, surface treatment that been carried on CNT is known as functionalized of CNT which to make the function of CNT in PC matrix become more apparent. There were two main research procedure which included sample preparation and characterisation based on the test that been carried out. Melt mixing technique by twin screw extrusion had been used for mixing and dispersion of CNT purpose. The samples in dumbbell shape that used in characterisation are been produced by using the injection moulding. The standard mould, ASTM D638 is been used as it is a standard dumbbell for mechanical testing. Several testing were carried out to characterize the properties of the sample that been produced, the testing included chemical resistance test, mechanical test and last but not least was weathering test. Some the pellet samples from twin screw extrusion were used for the chemical resistance test while others used to produce dumbbell sample for mechanical test and weathering test. The chemical resistance test was carried out by submerged the pellets sample into a beaker of chemical. While the mechanical test were carried out by universal mechanical testing machine, tensile strength and elongation of material were analysed based on the data obtained. Whereas the weathering test was carried out by using accelerated ultraviolet (UV)/ weathering system. One year period of UV exposed had been set and the changes in mechanical properties of the sample were investigated by the mechanical testing. Based on the result obtained, the properties of PC with treated CNT composite gave the most satisfied result. The addition of treated CNT not only improves the resistibility of PC towards chemicals, it also increases the mechanical properties and reduces the effect after weathered. The recommendation for future research of this topic is increase the amount of treated CNT in PC matrix which can give better reinforcement effect to PC.
Ökumenische Dogmatik

Edmund Schlink hat von seinen frühen Arbeiten in den dreißiger Jahren über seine „Theologie der lutherischen Bekenntnisschriften" (1940; 1946; 1948) bis zu seiner „Ökumenischen Dogmatik" (1983), die er noch kurz vor seinem Tod vollendete, ein halbes Jahrhundert lang maßgeblich die deutsche evangelische Theologie und Kirche (insbesondere nach dem Ende des Zweiten Weltkrieges) mitbestimmt. Die deutsche und internationale Ökumene hat ihm viel zu verdanken. Von den ersten Anfängen an hat er im sogenannten Jäger-Stählin-Kreis dem Aufbau der Begegnung der evangelischen und katholischen Theologie und Kirche in Deutschland entscheidende Impulse gegeben, die in seiner kritischen und konstruktiven Mitarbeit als offizieller Beobachter der EKD beim Zweiten Vatikanischen Konzil gipfelten. Im Ökumenischen Rat der Kirchen hat er entscheidenden Anteil an der Begegnung der westlichen mit der östlichen Christenheit sowie der vielfältigen kirchlichen Traditionen, die in ihm repräsentiert sind. Schlinks „Ökumenischer Dogmatik" merkt man es auf jeder Seite an, daß die jahrzehntelang betriebene theologische Begegnung des Verfassers mit der römisch-katholischen, mit der orthodoxen und mit der anglikanischen Theologie in die systematische Präsentation der Dogmatik, die sich der reformatorischen Tradition verpflichtet weiß, eingeflossen ist. Erkennbar ist vor allem das Bemühen, die jeweiligen kirchlichen Traditionen aus ihrem Binnenraum, d.h. aus ihren gottesdienstlichen Vollzügen heraus zu begreifen. So kommt es in dieser Hinsicht zu einer ungewöhnlich lebendigen und geistliche Erfahrung durchscheinen lassenden Präsentation der Lehre der Kirche Jesu Christi, die um ihren Dienst für Anbetung, Verkündigung und Zeugnis weiß und nicht an deren Stelle tritt.
Compressive 3 D Scene Reconstruction Using Single-Photon Multi-spectral LIDAR Data

Recent advances in single-photon detection technology led to the development of singlephoton light detection and ranging (LIDAR) systems. With the ability to accurately count the detected photons, these systems allow for a more precise decoding of these signals to obtain reflectivity images and depth maps. With this capabilities, these systems can be pushed much further than other LIDAR systems with respect to low photon counts, but when these photon counts get extremely low more elaborate techniques are required to accurately decode these signals. In this work, convex optimization decoding methods for single-band and multi-spectral single-photon LIDAR systems are presented by proposing improvements on the state-of-theart in single-photon LIDAR decoding. This is done by using physically accurate Poissonian measurement models for single-photon detections and by imposing low-rank priors to correlate different bands. The usage of compressive sampling is also explored as a way to optimize the acquisition strategy of scanning LIDAR systems. Research is what I’m doing when I don’t know what I’m doing . Werner von Braun
Dual View : Multivariate Visualization Using Linked Layouts of Objects and Dimensions

The display of multivariate data is a common task in data visualization. However as dimensionality increases, it becomes increasingly difficult to visualize all dimensions using standard multivariate visualization techniques, such as parallel coordinates. Dimension reduction is often used to show relationships between data objects in a lower-dimensional representation, but the relationships between data objects and the original dimensions is typically lost. We introduce Dual View, a visualization technique for high-dimensional datasets that directly represents both data objects and data dimensions in separate 2D layouts. Linked views, spatial aggregation, and iterative layout refinement enables the exploration of high-dimensional datasets. We present the underlying algorithms for layout and interaction, a prototype Dual View user interface, and some examples applying Dual View to multidimensional datasets.
Introduction of Rotor Dynamics using Implicit Method in LS-DYNA ®

Rotor dynamics is commonly used to analyze the behavior of structures ranging from jet engines and steam turbines to auto engines and computer disk drives. This paper introduces the implementation of rotor dynamics in LS-DYNA. The structural transient analysis and mode analysis and other applications, like brake squeal analysis, are presented and validated with other finite element software.
Effect of growth hormones in induction of callus, antioxidants, and antibacterial activity in Nerium odorum

Nerium odorum is an imperative species with worldwide therapeutic and commercial uses. N. odorum has been considered as a potentially important plant for industrial and pharmacological applications. Callus induction potential of N. odorum was assessed from leaf explants cultured on Murashige and Skoog’s medium using different plant hormonal treatments. A range of different concentrations of 6-benzylaminopurine, 1-naphthaleneacetic acid, 2,4-dichlorophenoxyacetic acid (2,4-D), indole-3-acetic acid (IAA), and kinetin (0.5–5.0 mg/L) have been incorporated in the culture medium to investigate the biomass, polyphenols production and oxidizing and antibacterial activity of the callus. The results showed highest callus induction at 2.0 mg/L in growth hormone combination of IAA and 2,4-D. The total phenolic content was 92.14 mg GA/g dry weight (DW). In addition, the 2,2-diphenyl-1- picrylhydrazyl activity and 2,2’-azinobis-(3-ethylbenzthiazoline-6-sulfonic acid) activities were 46.7 μg/mL DW and 19.9 μg/mLDW, respectively. Interestingly, the explants produced hard calli using combination of IAA and 2,4- D presented a higher phenolic content and antioxidant capacity when compared to individual growth hormones of either IAA or 2,4-D. Altogether, these results demonstrate the extraordinary effect of different growth hormones on polyphenols production, antioxidant, and antibacterial activities in N. odorum.
Back tting algorithms for total-variation and empirical-norm penalized additive modeling with high-dimensional data

Additive modeling is useful in studying nonlinear relationship between a response and covariates. We develop back tting algorithms to implement the doubly penalized method in Tan & Zhang (2017), using total-variation and empirical-norm penalties. Use of the total-variation penalty leads to an automatic selection of knots for each component function, whereas use of the empirical-norm penalty can result in zero solutions for component functions and hence facilitates component selection in high-dimensional settings. For a back tting cycle, each component function is updated by thresholding a solution to a Lasso problem, which is computed using an active-set descent method. Screening rules are also derived to determine zero solutions without solving the Lasso problem directly. We present numerical experiments to demonstrate the e ectiveness of the proposed algorithms for linear and logistic additive modeling. Copyright c 2012 John Wiley & Sons, Ltd.
In silico Pulsed Field Gel Electrophoresis and Molecular characterization of Escherichia coli

Sixty-five isolates were analyzed for virulence, antibiotic resistance and adherence genes by in silico tools. Thirteen virulence genes were selected to classify Escherichia coli isolates. The most prevalent virulence gene was shiga toxin, stx2 (13.85%). Out of the 65 isolates, 3 isolates were harbouring heat labile enterotoxin (LT1) and isolate NC_017633 Escherichia coli ETEC H10407 and NC_017641 Escherichia coli UMNK88 harboured STI and STII genes, respectively, both of which were representative of ETEC. Six isolates were positive for vt1; and none of the isolates had the vt2 gene. The intimin gene, eaeA was detected in seven isolates (10.77%). The presence of Escherichia coli O157 was confirmed by rfbE genes that were present in five isolates (7.69%). Among the 8 hlyA positive isolates, 5 were positive for both hlyA and eaeA genes that classified the isolates into typical EHEC. Two isolates (NC_013941 Escherichia coli O55:H7 str. CB9615 and NC_017656 Escherichia coli O55:H7 str. RM12579) were classified as atypical EPEC as contained only eaeA gene and no bfpA gene. Five isolates (7.69%) were positive for astA gene and four isolates (6.15%) had the aggR gene. So most prevalent verotype was EHEC (11 isolates), followed by ETEC. No Enteroinvasive E. coli (EIEC) was found. Eleven isolates (16.92%) had the sulfonamide resistance gene, sul2. The curli genes, csgA and crl were seen in 31 (47.69%) and 40 isolates (61.54%), respectively. Eleven isolates (16.92%) had the type 1 fimbriae and these isolates were likely to form biofilm on abiotic surfaces. The sfa gene was detected in 5 isolates and hence these isolates might be able to bind to receptors containing sialic acid residues. None of the isolates had the genes papC which are required for colonization on uroepithelial cells. In silico pulsed-field gel electrophoresis (PFGE) was able to group isolates into 25 genotypes. Genotype 8 was more virulent and contained only EHEC isolates. Genotype 17 contained all antibiotic resistance genes except tetC, sul3 and catA1 genes. Genotype 17 also contained three adhesive genes. Virulence profile analyzed in this study helps to compare the genes with previously published human pathogenic strains and verify possible genetic similarities and assess the distribution of these genes based on genotypes. This study helps to select antibiotic for treatment and improve the outcomes with severe bacterial infections based on genotyping.
Zonification of Heavy Traffic in Mexico City

Mexico City has the most elevated traffic congestion in the world according to a recent report carried out by TomTom navigation products. A driver in Mexico City could spend up to 59% extra time trapped in traffic during a normal day. This paper applies a cluster analysis to find out the heavy traffic zones using massive data from the Social Navigation Network Waze. This zonification is fundamental for urban planning and transportation management, and may help develop accurate prediction models for heavy traffic.
Comparative Expression Analysis of Human Endogenous Retrovirus Elements in Peripheral Blood of Children with Specific Language Impairment

Abstract Specific language impairment (SLI) is a psychiatric condition with a complex etiology and a substantial genetic basis that affects children's verbal communication abilities. In this study, we examined the expression of five different human endogenous retrovirus elements (HERVs) in a cohort of 25 children with SLI and 25 healthy children in the control group. Human endogenous retrovirus elements, a diverse group of repetitive DNA sequences, can potentially cause considerable genetic heterogeneity. They had been integrated in the genome of our ancestors throughout evolution and now consist of about 8.0% of the human genome. Several HERV loci are transcribed in various cell types. Their expression in peripheral blood and in the brain is altered in many neurological and psychiatric diseases. To date, HERV expression profiles have never been studied in patients with SLI. This study aimed to elucidate differentially regulated human endogenous retroelements in peripheral blood of children with SLI, in comparison with healthy controls, through quantitative reverse tran-scription-polymerase chain reaction (qRT-PCR) methodology. Our results show that two genes: HERV-K (HLM-2) gag and HERV-P env were expressed at lower levels in the blood samples from SLI children in comparison with those in the control group.
Ranking Strategic Objectives in a Strategy Map Based on Logarithmic Fuzzy Preference Programming and Similarity Method

Abstract This paper aims to rank strategic objectives in a strategy map to improve the efficiency of strategy implementation. Objectives are ranked based on strategic destinations using the combination of Logarithmic Fuzzy Preference Programming (LFPP) and similarity method. In the first step, the weight of strategic destinations is obtained using LFPP technique; then objectives are ranked by similarity method. Similarity method uses the concept of alternative gradient and magnitude for effectively solving the general multi-criteria analysis problem. Finally, objectives are ranked in an actual strategy map. As a practical and efficient tool, the proposed approach can assist managers and decision-makers in drawing more efficient output from strategy maps.
AnEssential Extension of the Finite-Energy Condition for ExtendedRunge-Kutta-Nyström Integratorswhen Applied to Nonlinear Wave Equations

This paper is devoted to an extension of the finite-energy condition for extended Runge-Kutta-Nyström (ERKN) integrators and applications to nonlinear wave equations. We begin with an error analysis for the integrators for multi-frequency highly oscillatory systems y′′+My= f (y), where M is positive semi-definite, ‖M‖≫ ‖ ∂ f ∂y ‖, and ‖M‖≫ 1. The highly oscillatory system is due to the semi-discretisation of conservative, or dissipative, nonlinear wave equations. The structure of such a matrix M and initial conditions are based on particular spatial discretisations. Similarly to the error analysis for Gaustchi-type methods of order two, where a finite-energy condition bounding amplitudes of high oscillations is satisfied by the solution, a finiteenergy condition for the semi-discretisation of nonlinear wave equations is introduced and analysed. These ensure that the error bound of ERKN methods is independent of ‖M‖. Since stepsizes are not restricted by frequencies of M, large stepsizes can be employed by our ERKN integrators of arbitrary high order. Numerical experiments provided in this paper have demonstrated that our results are truly promising, and consistent with our analysis and prediction. AMS subject classifications: 65L70, 65L05, 65L06, 65M20
New approach to knowledge of rotation age for Pinus sylvestris L . natural stands in the Spanish Central Range

Aim of study: To present a new contribution to the knowledge of rotation age for Scots pine (Pinus sylvestris L.) natural stands in Central Spain by silvicultur al t eatments (light and heavy thinnings) and site indexes, based on product ive and economic aspects. Area of study: The Spanish Central Range, and specifically the provinces of Segovia and Madrid. Material and methods: Considering the yield in volume and the price of veneer timber for these stands (the best technological quality wo od and therefore of higher value for this species), the evolution of an average price index v alue and of the average percentage of veneer timber were calculated and analyzed by age c lasses, site indexes and silvicultural treatment, based on the yield distribution by techn ological and commercial classes, on a model of diameter distributions and on yield tables . We also analyzed the age at which the price index rises less than 3%, the percentage of t rees with d.b. h. > 40 cm and take also into account other considerations such as the possibilit y of fungal rots in old growth stands. Based on all this information we establish the following criteria to defining rotation ages: (i) Rotation age should not be ≥ 140 years in any case; (ii) When it is possible, r otation age should be ≤ age at which the ten-years increase of the price i nd x is < 3%; and (iii) When it is possible, price index should be ≥ 1.50. Main results: We propose rotation ages ranging between 100-140 years for different site indexes with light thinnings and between 90-140 yea rs for heavy thinnings. This proposal includes a logical escalation by the analyzed five sit indexes and by the two silvicultural treatments. Research highlights: Technological and economic criteria with the limi tations imposed by sanitary risks were combined to establish the ro tation ages. The rotation ages estimated in this work are alway s much higher than the maximum income rotation ages reported for the species in th e s udy area, but they are similar to the rotation ages considered in the silvicultural schem es proposed for Scots pine natural stands in the Spanish Central Range, with rotations of 100 an d 120 years for heavy and light thinnings regimes respectively.
ARTIFICIAL NEURAL NETWORK BASED EFFICIENT POWER TRANSFERS BETWEEN HYBRID AC / DC MICRO-GRID

Hybrid ac/dc micro-grid is a concept of decoupling dc sources with dc loads and ac sources with ac loads, while power is exchanged between both sides using a bidirectional converter / inverter. This necessitates a supervisory control system to split power between its different resources, which has sparked attention on the development of power management systems (PMSs). In this paper, a robust optimal PMS (ROPMS) is developed for a hybrid ac/dc micro-grid, where the power flow in the micro-grid is supervised based on solving an optimization problem by using Artificial Neural Network (ANN). The artificial neural network control is used for dc/ac conversion with PWM control to improve the power quality. A small hybrid microgrid has been modeled and simulated using the simulink in the MATLAB. Satisfying demanded power with maximum utilization of renewable resources, minimum usage of fuel-based generator, extending batteries lifetime, and limited utilization of the main power converter between the ac and dc micro-grids are important factors that are considered in this approach. Uncertainties in the resources output power and generation forecast errors, along with static and dynamic constraints of the resources, are taken into account. Furthermore, since uncertainties in the resources output power may result in fluctuations in the dc bus voltage, a two-level controller is used to regulate charge/discharge power of the battery banks. Effectiveness of the proposed supervisory system is evaluated through extensive simulation runs based on dynamical models of the power resources. Index Terms — ROPMS, ANN, PWM, micro-grids.