Miracle-dz/UniFAR-FTUs huggingface dataset:
New business models: the Agents and Inter-Agents in a neuroscientific domain

Agency has been classically defined as the ability to sense and judge ourselves as the generators of an action and of its effects. In interactions, the ability to sense and consciously recognize that we – me and you – are the ones that are generating an action and causing its effects has been instead defined inter-agency or joint-agency. The implications of having developed good agency-related skills and of being aware of such processes become crucially important when we think at complex situations that characterize the real-life professional domain. Based on the crucial role of relationship with other social agents, cooperation and team-work for business and management activities, novel business models might benefit from an increased awareness of the way we and our co-workers plan, behave, make decisions, and manage action outcomes.
Statistical assessment of treatment response in a cancer patient based on pre- and post-therapy FDG-PET scans

Rights © 2016 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article: (2016) 'Statistical assessment of treatment response in a cancer patient based on pre-therapy and post-therapy FDG-PET scans', Statist. Med, which has been published in final form at http://dx.doi. org/10.1002/sim.7198. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. http://olabout.wiley. com/WileyCDA/Section/id-820227.html#terms
Pedestrian Flow Characteristics for Different Pedestrian Facilities and Situations

The pedestrian walking data collected at nineteen locations in five cities of India are analyzed in this paper. Pedestrian facilities are classified based on their width as sidewalk, wide-sidewalk and precincts. The analysis indicates that the pedestrian free flow speed is high on sidewalks (1.576 m/s) and low on precincts (1.340 m/s). The increase in width of the facility resulted in increased space available to a pedestrian, but reduced maximum flow rate and optimum density. It is found that the relationship between speed and density follows Underwood (exponential) model on sidewalk of varying widths and Greenshield’s (linear) model on a non-exclusive facility. Bi-directional flow on a facility affects the free flow speed and space available to the pedestrian adversely at high density. Squeezing effect at the centre and follow the predecessor near sides is observed under heavy bidirectional flow. The presence of a bottleneck reduces the free flow speed and maximum flow substantially. Pedestrians moved in layers at high density. Maximum flow rate is observed to be higher on the carriageway (2.067 ped/s) as compared to an exclusive pedestrian facility (1.493 ped/s).
UV photodestruction of CH bonds and the evolution of the 3.4 mu m feature carrier. II. The case of hydrogenated carbon grains

We present the results of a laboratory program aimed at studying the effects induced by energetic UV photons on hydrogenated carbon particles. Experiments have been performed under simulated diffuse and dense interstellar medium conditions. To monitor the effects of UV irradiation on grains IR spectroscopy has been used. In both circumstances UV photons lead to a reduction of the aliphatic 3.4 μm band. An estimation of the destruction cross section by UV photons for the hydrogenated carbon particles has been derived from the reduction of the 3.4 μm intensity band as a function of the UV fluence. The results of the present work, together with previous laboratory data, can shed light on the enigmatic difference observed for the 3.4 μm band between dense and diffuse interstellar medium clouds. This difference is compatible with the transformation of hydrogenated carbon particles produced by UV photons and hydrogen atoms and with the changes of the grain properties in the two environments.
A FRAMEWORK FOR PERFORMANCE PREDICTION IN DISTRIBUTED SYSTEMS

In sistemele distribuite de dimensiuni mari, parametrii de performanţă ce caracterizează diversele componente variază frecvent, făcând dificilă gestiunea resurselor. In această lucrare prezentăm o platformă pentru predicţia performanţelor, ce poate fi utilizată pentru a imbunătăţi eficienţa sistemelor de gestiune a resurselor. Platforma este integrată in sistemul de monitorizare MonALISA si este flexibilă, permiţând selecarea unuia dintre algorimtii de predicţie disponibili sau adăugarea unor algoritmi noi. Am testat platforma in cadrul reţelei USLHCNet, pentru predicţia traficului in reţea. In large scale distributed systems, the performance parameters of the various components change frequently, making resource management a challenging task. In this paper we present a performance prediction platform that can be used to improve the efficiency of resource management systems. The framework is integrated in the MonALISA monitoring system and is flexible, allowing the user to select among the available prediction algorithms or to add new ones. We have tested the framework by forecasting network traffic in the USLHCNet network.
Effect of water chemistry on zooplanktonic and microbial communities across freshwater ecotones in different macrophyte-dominated shallow lakes

Complex interactions between zooplankton and microbial food webs are vital to the ecosystem ecology of shallow lakes. However, little is known about how horizontal changes in environmental conditions may influence microbial and metazoan communities in shallow lakes. The specific goals of the study were i) to describe environmental variables responsible for the distribution of bacteria, flagellates, ciliates and crustaceans in an adjacent canal, ecotone and reservoir (littoral-pelagic zone) in two different types of lakes ( Ceratophyllum -dominated and Potamogeton -dominated lakes); ii) to determine whether the contact zone waters differ in hydrochemical and biological terms from the waters of the canal and the open water zone; iii) and to evaluate the influence of particular macro-habitats (canal, canal/reservoir, littoral and pelagic zone) on the interactions between components of the planktonic food web. We studied four shallow, eutrophic lakes in Polesie Lubelskie (eastern Poland). The highest diversity and abundance of microorganisms and crustaceans were observed in the canal-reservoir contact zone, while the lowest values were noted in the pelagic zone. Hence, the contact zone in the investigated lakes could fulfil the function of an ecotone, distinguished by a significant increase in biodiversity, abundance, and species specificity of micro- and macroorganisms. Weak relations between food web components were found in the Ceratophyllum -dominated lakes, where environmental variables explained the bulk of the total variance in plankton abundance, whereas in the Potamogeton -dominated lakes, where environmental variables had a minor role in the total variance in plankton abundance, strong predator-prey relations were noted. Spatial structure of habitats proved to be another important factor for relationships between food web components, as our study indicated that habitat complexity can reduce negative correlations between food web components. Our study contributes to knowledge of the functioning of eutrophic lakes in the current era of increasing eutrophication caused by climate change and human activity.
Nonlocal transport and the hydrodynamic shear viscosity in graphene

Motivated by recent experimental progress in preparing encapsulated graphene sheets with ultrahigh mobilities up to room temperature, we present a theoretical study of dc transport in doped graphene in the hydrodynamic regime. By using the continuity and Navier-Stokes equations, we demonstrate analytically that measurements of nonlocal resistances in multiterminal Hall bar devices can be used to extract the hydrodynamic shear viscosity of the two-dimensional (2D) electron liquid in graphene. We also discuss how to probe the viscosity-dominated hydrodynamic transport regime by scanning probe potentiometry and magnetometry. Our approach enables measurements of the viscosity of any 2D electron liquid in the hydrodynamic transport regime.
High voltage insulation and gas absorption of polymers in high pressure argon and xenon gases

High pressure gas time projection chambers (HPGTPCs) are made with a variety of materials, many of which still await proper characterization in high pressure noble gas environments. As HPGTPCs increase in size toward ton-scale detectors, assemblies become larger and more complex, creating a need for detailed understanding of how structural supports and high voltage insulators behave. This includes identification of materials with predictable mechanical properties and without surface charge accumulation that may lead to field deformation or sparking. This paper explores the mechanical and electrical effects of high pressure gas environments on insulating polymers PTFE, HDPE, PEEK, POM and UHMW in argon and xenon, including studying gas absorption, swelling and high voltage insulation strength.
An Automated Vehicle License Plate Recognition

An exponential increase in number of vehicles necessitates the use of automated systems to maintain vehicle information. The information is highly required for both management of traffic as well as reduction of crime. Number plate recognition is an effective way for automatic vehicle identification. Vehicle Number Plate Detection (VNPD) is a mass surveillance system that captures the image of vehicles and recognizes their license number. Vehicle Number Plate Detection (VNPD) system is a type of intelligent transportation system (ITS). Some of the existing algorithms based on the principle of learning takes a lot of time and expertise before delivering satisfactory results but even then lacks in accuracy. In the proposed system an efficient method for recognition for Indian vehicle number plates has been devised. The algorithm aims at addressing the problems of scaling and recognition of position of characters with a good accuracy. The objective is to design an efficient automatic authorized vehicle identification system by using the Indian vehicle number plate such that the number plate of vehicle can be identified accurately and to implement it for various applications such as automatic toll tax collection, parking system, Border crossings, Traffic control, stolen cars etc In this proposed system , different phases such as number plate localization, character segmentation & recognition of the number plates are carried out. The system is mainly applicable for non standard Indian number plates by recognizing single & double line number plates under different varying illumination condition and works on multilingual, multicolor number plates according to Indian condition.
Dominant Interests in the Personality of Industrial Design Students within Their Educational Practice

The purpose of this paper is the study of the dominant interests of personality in Industrial Design students at the Autonomous University of the State of Mexico. A scale developed by Allport, Vernon, and Lindzey entitled Study of Values. A scale for measuring the dominant interests of personality was used. This scale was applied to a sample of 152 students including men and women of different semesters of the degree enrolled in the first 2015 term. The proven assumption is that the dominant values are the economical, as well as the theoretical one. A striking finding is that the reasons associated with religious, social and political values are the least met.
High-pressure Cell for a SQUID Magnetometer with a Plug for in situ Pressure Measurements

We describe the design of a miniature high-pressure cell built for a Magnetic Property Measurement System based on the Superconducting Quantum Interference Device technology magnetometer. The key feature of the cell is the plug for in situ pressure measurements with feed-through wires connected to a manganin pressure sensor, which has a known pressure dependence of electrical resistivity. By monitoring pressure continuously during magnetisation measurements in the range of operational temperatures the true pressure can always be established.
SAFETY CONSIDERATIONS WITH BLOOD FLOW RESTRICTED RESISTANCE TRAINING

Blood flow restricted resistance (BFRR) training with pneumatic tourniquet has been suggested as an alternative for conventional weight training due to the proven benefits for muscle strength and hypertrophy using relatively low resistance, hence reducing the mechanical stress across a joint. As such, it has become an important part of rehabilitation programs used in either injured or operated athletes. Despite a general consensus on effectiveness of BFRR training for muscle conditioning, there are several uncertainties regarding the interplay of various extrinsic and intrinsic factors on its safety and efficiency, which are being reviewed from a clinical perspective. Among extrinsic factors tourniquet cuff pressure, size and shape have been identified as key for safety and efficiency. Among intrinsic factors, limb anthropometrics, patient history and presence of cardiac, vascular, metabolic or peripheral neurologic conditions have been recognized as most important. Though there are a few potential safety concerns connected to BFRR training, the following have been identified as the most probable and health-hazardous: (a) mechanical injury to the skin, muscle, and peripheral nerves, (b) venous thrombosis due to vascular damage and disturbed hemodynamics and (c) augmented arterial blood pressure responses due to combined high body exertion and increased peripheral vascular resistance. Based on reviewed literature and authors’ personal experience with the use of BFRR training in injured athletes, some guidelines for its safe application are outlined. Also, a comprehensive risk assessment tool for screening of subjects prior to their inclusion in a BFRR training program is being introduced.
Foraging behaviour of little penguins Eudyptula minor in an artificially modified environment

We investigated the 3-dimensional foraging behaviour of little penguins Eudyptula minor breeding on an artificially constructed breakwater near dredged shipping channels in Port Phillip Bay, southern Australia. Breeding penguins were fitted with either satellite trackers or time- depth recorders during the 2006-2007 breeding season to record foraging locations and diving be- haviour, which were then compared with local bathymetry. Diving appeared to be both mid-water and demersal, and on 1 d trips penguins reached a mean maximum distance from the colony of 13.8 km. Penguins were recorded in locations containing artificially constructed shipping channels, and examination of their diving profiles suggests that they probably forage within these channels. Little penguins at this urban colony have benefited from anthropogenic alterations in the terrestrial environment, but their location exposes them to many potential anthropogenic threats in their marine environment, including a large-scale dredging operation to deepen the existing shipping channels.
Wormwholes: A Commentary on K. F. Schaffner's "Genes, Behavior, and Developmental Emergentism"

Although Caenorhabditis elegans was chosen and modified to be an organism that would facilitate a reductionist program for neurogenetics, recent research has provided evidence for properties that are emergent from the neurons. While neurogenetic advances have been made using C. elegans which may be useful in explaining human neurobiology, there are severe limitations on C. elegans to explain any significant human behavior.
An Approach to Knowledge Management With an E-Learning Platform

Knowledge management is still a problem for many organizations and at two different levels: tacit knowledge, which typically resides in the head of each individual and gets lost for the organizations when a person goes to work with a different company; and explicit knowledge, which presents growing costs for its dissemination in the organization. In the chapter, the author proposes a model to address those problems, taking for base the SECI (socialization, externalization, combination, and internalization) model, originally developed for knowledge management, together with an e-learning platform and a set of activities as tools to implement a working solution. Such models have the ability to solve organizational knowledge problems, implementing a knowledge management process, allowing the transformation of tacit knowledge into explicit knowledge.
Non-thermal particle acceleration in collisionless relativistic electron-proton reconnection

Magnetic reconnection in relativistic collisionless plasmas can accelerate particles and power high-energy emission in various astrophysical systems. Whereas most previous studies focused on relativistic reconnection in pair plasmas, less attention has been paid to electron-ion plasma reconnection, expected in black hole accretion flows and relativistic jets. We report a comprehensive particle-in-cell numerical investigation of reconnection in an electron-ion plasma, spanning a wide range of ambient ion magnetizations $\sigma_i$, from the semirelativistic regime (ultrarelativistic electrons but nonrelativistic ions, 0.001 >1). We investigate how the reconnection rate, electron and ion plasma flows, electric and magnetic field structures, electron/ion energy partitioning, and nonthermal particle acceleration depend on $\sigma_i$. Our key findings are: (1) the reconnection rate is about 0.1 of the Alfvenic rate across all regimes; (2) electrons can form concentrated moderately relativistic outflows even in the semirelativistic, small-$\sigma_i$ regime; (3) while the released magnetic energy is partitioned equally between electrons and ions in the ultrarelativistic limit, the electron energy fraction declines gradually with decreased $\sigma_i$ and asymptotes to about 0.25 in the semirelativistic regime; (4) reconnection leads to efficient nonthermal electron acceleration with a $\sigma_i$-dependent power-law index, $p(\sigma_i) \simeq $const$+0.7 {\sigma_i}^{-1/2}$. These findings are important for understanding black hole systems and lend support to semirelativistic reconnection models for powering nonthermal emission in blazar jets, offering a natural explanation for the spectral indices observed in these systems.
Review on lactic acid bacteria function in milk fermentation and preservation

This review was conducted to find out the main function of lactic acid bacteria in milk fermentation and preservation. Lactic acid bacteria (LAB) are a group of Gram-positive, non-spore forming, cocci or rods, which produce lactic acid as the major end product during the fermentation of carbohydrates. LAB includes Lactobacillus, Lactococus, Streptococcus and Leuconostoc species. The presence of LAB in milk fermentation can be either as spontaneous or inoculated starter cultures. Both of them are promising cultures to be explored in fermented milk manufacture. LAB has a role in milk fermentation to produce acid which is important as preservative agents and generating flavour of the products. The main reasons for the fermentation practice using LAB are to increase milk palatability and improve the quality of milk by increasing the availability of proteins and vitamins. Furthermore, LAB confers preservative and detoxifying effects on milk as well. When it is used regularly, LAB fermented milks boost the immune system and strengthen the body in the fight against pathogenic bacterial infections. Thus, LAB fermentation is not only of a major economic importance, but it also promotes human health. Therefore, it was concluded that the lactic acid bacteria have a vital role in milk and milk products fermentation and preservation and this suggests the need for educating the communities about benefits of consuming fermented milk and milk products needs to be part of health education. Key words: Fermentation, lactic acid bacteria, milk, preservation.
Annales Henri Poincaré Small Cocycles , Fine Torus Fibrations , and a Z 2 Subshift with Neither

Following an earlier similar conjecture of Kellendonk and Putnam, Giordano, Putnam, and Skau conjectured that all minimal, free Z actions on Cantor sets admit “small cocycles. ” These represent classes in H that are mapped to small vectors in R by the Ruelle–Sullivan (RS) map. We show that there exist Z actions where no such small cocycles exist, and where the image of H under RS is Z. Our methods involve tiling spaces and shape deformations, and along the way we prove a relation between the image of RS and the set of “virtual eigenvalues,” i.e., elements of R that become topological eigenvalues of the tiling flow after an arbitrarily small change in the shapes and sizes of the tiles.
Fiscal Policy, Government Polarization, and the Economic Literacy of Voters

We model a two-parties electoral game in an environment where voters are imperfectly informed on the administrative ability of each party. In equilibrium, parties try to manipulate voters’ beliefs and implement fiscal policies that are looser than the social optimum. The size of this deviation from optimality increases with the incentive of parties to manipulate, the voters’ information disadvantage, and the interaction between these two elements. We test our theoretical predictions on a sample of 23 OECD countries over the period 1999–2008. We measure the incentive to manipulate voters’ beliefs through the ideological cohesion of the cabinet (i.e. government polarization), and the scope to manipulate such beliefs through the level of voters’ economic literacy. We find that polarized governments tend to worsen fiscal balances, and this is more likely in countries where the voters’ economic literacy is low. However, such tendency vanishes as literacy increases, suggesting that polarization leads to biased fiscal policies only when there is enough room for manipulation. Our results remain stable after controlling for potentially confounding differences across countries and over time – such as individuals’ education attainments, electoral and institutional systems, voter turnout –, several types of falsification tests, time dynamics and unobserved heterogeneity.
Non-Markovianity quantifier of an arbitrary quantum process

Calculating the degree of non-Markovianity of a dissipative process is a difficult task, even for the dynamics of a single qubit, given the complex maximization problem. In this work, focusing on the entanglement-based quantifier of non-Markovianity, we present an analytical solution for such an optimization problem. We then propose a computable non-Markovianity measure based on generalized robustness of entanglement, an entanglement measure that can be readily calculated by a semidefinite programming method. We show that the non-Markovianity, in a given interval of time, can be witnessed by calculating the expectation value of an observable, making it attractive for experimental investigations.
INTERACTION OF THREE-DRUG COMBINATION OF LACOSAMIDE, CARBAMAZEPINE AND PHENOBARBITAL IN THE MOUSE MAXIMAL ELECTROSHOCK-INDUCED SEIZURE MODEL – AN ISOBOLOGRAPHIC ANALYSIS

Copyright: © 2016 Pope John Paul II State School of Higher Education in Biała Podlaska. This is an Open Access journal, all articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license. Health Problems of Civilization 2016, Volume 10, Issue 1 ISSN 2353-6942