Miracle-dz/UniFAR-FTUs huggingface dataset:
THE 300 km s−1 STELLAR STREAM NEAR SEGUE 1: INSIGHTS FROM HIGH-RESOLUTION SPECTROSCOPY OF ITS BRIGHTEST STAR

We present a chemical abundance analysis of 300S-1, the brightest likely member star of the 300 km s−1 stream near the faint satellite galaxy Segue 1. From a high-resolution Magellan/MIKE spectrum, we determine a metallicity of [Fe/H] = −1.46 ± 0.05 ± 0.23 (random and systematic uncertainties) for star 300S-1, and find an abundance pattern similar to typical halo stars at this metallicity. Comparing our stellar parameters to theoretical isochrones, we estimate a distance of 18 ± 7 kpc. Both the metallicity and distance estimates are in good agreement with what can be inferred from comparing the Sloan Digital Sky Survey photometric data of the stream stars to globular cluster sequences. While several other structures overlap with the stream in this part of the sky, the combination of kinematic, chemical, and distance information makes it unlikely that these stars are associated with either the Segue 1 galaxy, the Sagittarius Stream, or the Orphan Stream. Streams with halo-like abundance signatures, such as the 300 km s−1 stream, present another observational piece for understanding the accretion history of the Galactic halo.
Alternative Measures of Core Inflation in Romania

The paper intends to present synthetically the main approaches to computing core inflation, taking into consideration the importance of core inflation for conducting monetary policy. At the same time, the paper computes different measures of core inflation using methods based on excluding certain categories of prices from overall inflation rate and methods based on excluding from the overall inflation rate temporary movements of various prices which at different moments register extremely high volatility (using trimmed methodology). For the monetary policies it is important to select the inflation indicator with the lowest volatility. In this respect, the paper analyzes the efficiency of the computed core inflation indicators using a statistical approach. At the same time, the paper analyzes the usefulness of core indicators for monetary policy measures.
GIS-Based Analysis of Integrated Food Distribution Network in Local Food Supply Chain

Local food producers need to integrate within networks of suppliers, distributor, customers and communityrepresentatives in order to increase their competitiveness. The main objective of this study was to evaluate theperformance of an integrated food distribution network (IFDN) in Sweden. Location and route analyses wereconducted using data of 11 producers, 149 customers and one distribution centre (DC). Geographic InformationSystem (GIS) tools and location analysis techniques were utilized. Route analyses were done considering onenon-integrated distribution system (scenario1) and three different integrated distributions systems (scenarios 2, 3and 4). The results of location analysis indicated that the existing DC is located at best position. When comparedto Scenario1, best improvements were gained in scenario3 i.e. up to 64% in number of routes, 53% in number ofvisits, 74% in transport distance and 63% in transport time. As a consequence, the emissions emanated fromvehicles were reduced. The analyses gave insights into main implications of IFDN such as implication forlogistics efficiency; implication for food and service quality; and implication for environmental sustainability oflocal food supply chain.
Hierarchical approach for Global Chassis Control

This paper deals with the vehicle dynamics control and focuses on an illustrative example of an hierarchical approach for Global Chassis Control (GCC). This example, dealing with Global Suspension Control and especially with body control under driver solicitation in turns at a constant velocity enables the implementation of this hierarchical approach, composed of four levels (Supervisor, Gtobat Controt, Controt Attocation and Locat Controt), improving the safety and the comfort of the passengers. Moreover, a comparison between two robust Locat controller, a second generation CRONE and an $H_{\infty}$ controller, designed with the same constraints, and whose performances are juxtaposed to those of the degraded operation mode of the active system (failure of the control), is presented. Results of the simultations using a 14 degrees-of-freedom (d-o-f) full vehicle model show a better body control using the hierarchical approach but comparable performances between the two robust controllers in the comfort operating domain.
Virus-mediated transfer of nitrogen from heterotrophic bacteria to phytoplankton

Lytic infection of bacteria by viruses releases nutrients during cell lysis and stimulates the growth of primary producers, but the path by which these nutrients flow from lysates to primary producers has not been traced. This study examines the remineralisation of nitrogen (N) from Vibrio lysates by heterotrophic bacterioplankton and its transfer to primary producers. In laboratory trials, Vibrio sp. strain PWH3a was infected with a lytic virus (PWH3a-P1) and the resulting 36.0 µmol L −1 of dissolved organic N (DON) in the lysate was added to cultures containing cyanobacteria ( Synechococcus sp. strain DC2) and a natural bacterial assemblage. Based on the increase in cyanobacteria, 74 % (26.5 µmol L −1 N) of the DON in the lysate was remineralised and taken up. Lysate from Vibrio sp. strain PWH3a labeled with 15 NH 4 + was also added to seawater containing natural microbial communities, and in four field experiments, stable isotope analysis indicated that the uptake of 15 N was 0.09 to 0.70 µmol N µg −1 of chlorophyll a . The results from these experiments demonstrate that DON from lysate can be efficiently remineralised and transferred to phytoplankton, and they provide further evidence that the viral shunt is an important link in nitrogen recycling in aquatic systems.
Observations of annual modulation in direct detection of relic particles and light neutralinos

The long-standing model-independent annual modulation effect measured by the DAMA Collaboration, which fulfills all the requirements of a dark matter annual modulation signature, and the new result by the CoGeNT experiment that shows a similar behavior are comparatively examined under the hypothesis of a dark matter candidate particle interacting with the detectors’ nuclei by a coherent elastic process. The ensuing physical regions in the plane of the dark matter-particle mass versus the dark matter-particle nucleon cross-section are derived for various galactic halo models and by taking into account the impact of various experimental uncertainties. It is shown that the DAMA and the CoGeNT regions agree well between each other and are well fitted by a supersymmetric model with light neutralinos which satisfies all available experimental constraints, including the most recent results from CMS and ATLAS at the CERN Large Hadron Collider.
Les espaces de coworking. Le rôle des proximités dans les dynamiques collaboratives

Cette recherche etudie le role des differents types de proximite dans les dynamiques collaboratives des espaces de coworking. A partir d’entretiens avec des acteurs des espaces de coworking situes dans des villes petites et moyennes, l’etude met en evidence que la proximite geographique ne suffit pas pour generer des collaborations et que d’autres formes de proximite sont necessaires. Elle revele aussi que la proximite electronique est importante pour s’affranchir des distances et que la proximite d’opportunite favorise la collaboration interorganisationnelle.
Making extinction calculable

The purpose of this paper is to examine the role of the International Union for the Conservation of Nature (IUCN) Red List of Threatened Species in achieving biodiversity conservation and preventing the extinction of species. The Red List is a calculative device that classifies species in terms of their exposure to the risk of extinction. ,The paper draws on theorising in the Social Studies of Finance literature to analyse the Red List in terms of how it frames a space of calculability for species extinction. The analysis then traces the ways that this framing has overflowed, creating conditions for calculative innovations, such that assemblages of humans and calculative devices (i.e. agencements) are constructed with collective capabilities to act to conserve biodiversity and prevent species extinctions. ,This paper has traced three ways that the Red List frame has overflowed, leading to calculative innovations and the construction of new agencements. The overflow of relations between the quality of “extinction risk”, produced by the Red List, and other qualities, such as location, has created opportunities for conservationists to develop agencements capable of formulating conservation strategies. The overflow of relations between the identity of the “threatened species”, produced by the Red List, and other features of evaluated species, has created opportunities for conservationists to develop agencements capable of impelling participation in conservation efforts. The overflow of ecological relations between species, discarded by the Red List’s hierarchical metrology of extinction risk classifications, has created opportunities for conservationists to develop agencements capable of confronting society with the reality of an extinction crisis. ,The paper contributes to the accounting for biodiversity literature by addressing its fundamental challenge: explaining how accounting can create conditions within society in which biodiversity conservation is made possible.
Jatropha curcas and Ricinus communis display contrasting photosynthetic

Higher plants display different adaptive strategies in photosynthesis to cope with abiotic stress. In this study, photosynthetic mechanisms and water relationships displayed by Jatropha curcas L. (physic nuts) and Ricinus communis L. (castor bean), in response to varia- tions in environmental conditions, were assessed. R. communis showed higher CO 2 assimila- tion, stomatal and mesophyll conductance than J. curcas as light intensity and intercellular CO 2 pressure increased. On the other hand, R. communis was less effective in stomatal control in response to adverse environmental factors such as high temperature, water deficit and vapor pressure deficit, indicating lower water use efficiency. Conversely, J. curcas exhibited higher photosynthetic efficiency (gas exchange and photochemistry) and water use efficiency under these adverse environmental conditions. R. communis displayed higher potential photosynthesis, but exhibited a lower in vivo Rubisco carboxylation rate (Vcmax) and maximum electron transport rate (Jmax). During the course of a typical day, in a semiarid environment, with high irradia- tion, high temperature and high vapor pressure deficit, but exposed to well-watered conditions, the two studied species presented similar photosynthesis. Losing potential photosynthesis, but maintaining favorable water status and increasing non-photochemical quenching to avoid photo- inhibition, are important acclimation mechanisms developed by J. curcas to cope with dry and hot conditions. We suggest that J. curcas is more tolerant to hot and dry environments than R. communis but the latter species displays higher photosynthetic efficiency under well-watered and non-stressful conditions.
Micromechanical modelling of cemented sands under low amplitude oscillations

Microstructural continuum modelling is applied to study the mechanical properties of cemented sands under low amplitude oscillatory loading. The effect of cement in sand is accounted for by considering adhesion in addition to friction at the inter-particle contact. Under the assumption that cemented sands are statistically isotropic random packings of equal spheres, a closed form relationship is derived for the initial shear modulus of cemented sands under isotropic confining stress. Also, the secant moduli and damping ratios are computed numerically for various strain amplitudes. The influence of degree of cementation, initial confining stress, particle size, void ratio and strain amplitude on the mechanical properties of cemented sands are investigated. Comparisons of the theoretically predicted results are made with experimental measurements. Un modele a continuum microstructural est utilise pour etudier les proprietes mecaniques des sables cimentes sous chargement oscillatoire de base amplitude. L'eff.
2 2 O ct 2 01 5 Shaft Inflation and the Planck satellite observations

A new family of inflation models is introduced and studied. Th e models are characterised by a scalar potential which, far from the origin, approaches an inflationary plateau in a power-law manner, while near the origin becomes monomial, as in chaoti c inflation. The models are obtained in the context of global supersymmetry starting with a super potential, which interpolates from a generalised monomial to an O’Raifearteagh form for small to arge values of the inflaton field respectively. It is demonstrated that the observables obta ined, such as the scalar spectral index, its running and the tensor to scalar ratio, are in excellent a greement with the latest observations, without any fine-tuning. Moreover, by widening mildly the sh aft in field space, it is shown that sizable tensors can be generated, which may well be observab l in the near future.
A quadratic spline-wavelet basis on the interval

In signal and image processing as well as in numerical solution of differential equations, wavelets with short support and with vanishing moments are important because they have good approximation properties and enable fast algorithms. A B-spline of order m is a spline function that has minimal support among all compactly supported refinable functions with respect to a given smoothness. And recently, B. Han and Z. Shen constructed Riesz wavelet bases of L-2(R) with m vanishing moments based on B-spline of order in. In our contribution, we present an adaptation of their quadratic spline-wavelets to the interval [0,1] which preserves vanishing moments.
Automatic Identification of Hard and Soft Bone Tissues by Analyzing Drilling Sounds

Our purpose is to assess if bone drilling sounds could be used to automatically distinguish between hard- and soft-bone tissues. Such a capability could be of value in a variety of surgical procedures involving drilling through bone. We acquired sound signals from six bovine tibial bones that were being drilled with a surgical drill. We investigated various classifiers including logistic regression, support vector machine (SVM), random forest (RF), and hidden Markov model. We explored different time and frequency features, and considered two training/testing scenarios: leave-one bone-out (LOBO) and bone-specific (BSP). Moreover, we conducted a survey of practicing surgeons to provide a baseline measure for assessing whether our proposed algorithm could improve the ability of surgeons to identify hard- and soft-bone tissues based on drilling sounds. The average accuracies for LOBO and BSP were 79.1% and 84.3%, respectively. In both scenarios, the feature that resulted in the highest accuracy of classification was wavelet packet transform coefficients. Moreover, RF and SVM produced the highest accuracies for LOBO and BSP, respectively. In the survey, the surgeons were unsure on 29.2% of questions, and had an average accuracy of 51.4% on their judged answers. In conclusion, the drilling in hard and soft bones could be automatically identified with good accuracy based on the drilling sounds. Several of the algorithms tested were generalizable across specimens and their accuracy significantly exceeded surgeons’ performance. The significance is that these algorithms can potentially be used to reduce challenges associated with bone-drilling procedures.
Non-data Aided Timing Phase Recovery Scheme for Digital Equalization of Chromatic Dispersion and Polarization Mode Dispersion

In this paper we propose an electronic domain timing phase selection scheme for the optical communication systems suffering from inter-symbol-interference (ISI) distortion due to chromatic dispersion (CD) or polarization mode dispersion (PMD). In the presence of CD/PMD a proper timing phase selection is important for discrete time domain equalizers, since different timing phases produce different nonlinear ISI channels of different severity. The proposed timing phase recovery scheme based on dispersion minimization (DM) practically approximates the optimal minimum mean squared error (MMSE) timing phase without training signals which reduces overall throughput substantially, especially in time-varying channels such as PMD. The simulation results show that the proposed DM timing agrees with MMSE timing phase, under proper normalization of the received signals, for various dispersion and OSNR.
A Study on the Grading Ring Recognition Method of Power Line Based on Deep Learning

It is an important measure to ensure the safe operation of the power system by using the machine vision with unmanned aerial vehicle to inspect the power lines. The grading ring detection is one of the tasks. For the captured images, there are complex issues such as complex and varied environmental backgrounds, inconsistent camera angles, difficulty in controlling the variation of light intensity, and jitter of drones, in which it is difficult to identify the grading ring. Based on the structure of convolutional neural network, a deep learning network structure is constructed for identifying and positioning of grading ring: the convolutional neural network method is used to extract the high-level characteristics of the grading ring; TensorFlow and Faster R-CNN are used to train the detection model of grading rings; Light intensity and motion blur experiments are designed, and the experiment results show that it is robust for the grading ring detection model. The high accuracy and good adaptability is verified in the actual test experiments, and the model can meet the needs of the grading ring identification and positioning in power lines in complex environments.
In vitro Regeneration and Rapid Multiplication of Dendrobium bensoniae , an Indigenous Ornamental Orchid

An experiment was conducted on in vitro regeneration and multiplication of Dendrobium bensoniae . Different concentrations of BA and IBA alone or combination of both hormones were used as treatment for regeneration. It was revealed that shoot regeneration from node was the best at 2.0 mg/l BA supplemented to MS medium. It gave better responses than all other concentrations and combinations of BA and BA+IBA, used in the present study. The highest number of shoots and leaves were found when 1.0 mg/l BA with 1.5 mg/l IBA was supplemented into MS medium. For rooting, 0.5 mg/l BA with 1.0 mg/l IBA was found to be the most effective. The well-rooted plantlets were successfully acclimatized under 70-80% humidity and planted in pots and transferred to the shade house for establishment. Around 85% of plantlets survived in the field. From the present result, it may be recommended that MS medium supplemented with 2.0 mg/l BA may be used for rapid shoot induction and regeneration of D. bensoniae . The Agriculturists 2016; 14(2) 24-31
Frontal Affinity Chromatography with Mass Spectrometry Detection for Probing Molecular Interactions. A New Mechanistic Approach for the Development of Detection & Identification and Medical Countermeasures Against CB Agents

Abstract : Frontal affinity chromatography with mass spectrometry detection (FAC-MS) is a powerful technique for the study of molecular interactions between receptors (proteins, antibodies, enzymes) and ligands (small molecules, antigens, drug compounds). Such interactions are fundamental to biochemical pathways, from the detection of a protein cascade involved in a disease state, to the study of the disease mechanisms, to high-throughput screening for the identification and optimization of lead compounds for drug discovery. FAC-MS is able to locate and characterize key molecular recognitions in complex biological systems that are otherwise "hidden" from current technologies. Thus, this cutting-edge technique can steer biotechnological research through key areas and eliminate many years of "hit-and-miss" experimentation. It will allow for rational design and development in areas, such as bio-detection and identification, and medical countermeasure, which are currently of interest to the CF and DRDC. FAC-MS is amenable to high-throughput screening of large collections of compounds simultaneously. Currently, no other alternative method can provide unbiased, direct measures of binding affinity in a rapid and easy to perform manner as FAC-MS. This article outlines the plan of adapting FAC-MS from industry (Protana Inc.) to DRDC Suffield for defense research incorporating toxin research, drug discovery, recombinant antigen-antibody optimization and proteomics.
Inherent Correlations Between Stand Biomass Variables Calculated from Tree Measurements

Correlating stand-level variables is an important component of forest produc- tion ecology; however, correlations among variables calculated with equations having com- mon independent variables are potentially spurious. Monte Carlo simulation techniques were used to determine the inherent or null correlation coefficients among stand-level biomass variables calculated with published, individual-tree equations using loblolly pine (Pinus taeda L.) data. Null correlations of foliage mass/ha with branch mass/ha, stem mass/ha, and periodic annual increments of biomass were high with similar equation forms and exponents in the equations. Most, but not all, correlation coefficients of foliage mass/ha with other biomass components and periodic annual increments of biomass were significantly different from the corresponding, null correlation coefficients. Stating the probability of a greater difference between the observed and the null correlation coefficients proved crucial in distinguishing between potentially meaningful and spurious correlations because in many cases, the observed correlation coefficients were close to the null values. Interpretation of the correla- tions among stand variables varied with the equations used to predict the variables. Conse- quently, in addition to comparing correlation coefficients to appropriate null values, conclu- sions drawn from the correlation among stand-level variables depend on the accuracy and precision of the equations used to calculate them. FOR. SCI. 49(2):279-284.
Bio-Inspired Optimization of Sustainable Energy Systems: A Review

Sustainable energy development always involves complex optimization problems of design, planning, and control, which are often computationally difficult for conventional optimization methods. Fortunately, the continuous advances in artificial intelligence have resulted in an increasing number of heuristic optimization methods for effectively handling those complicated problems. Particularly, algorithms that are inspired by the principles of natural biological evolution and/or collective behavior of social colonies have shown a promising performance and are becoming more and more popular nowadays. In this paper we summarize the recent advances in bio-inspired optimization methods, including artificial neural networks, evolutionary algorithms, swarm intelligence, and their hybridizations, which are applied to the field of sustainable energy development. Literature reviewed in this paper shows the current state of the art and discusses the potential future research trends.