Miracle-dz/UniFAR-FTUs huggingface dataset:
Decoherence in an Interacting Quantum Field Theory: The Vacuum Case

We apply the decoherence formalism to an interacting scalar ﬁeld theory. In the spirit of the decoherence literature, we consider a ‘‘system ﬁeld’’ and an ‘‘environment ﬁeld’’ that interact via a cubic coupling. We solve for the propagator of the system ﬁeld, where we include the self-energy corrections due to the interaction with the environment ﬁeld. In this paper, we consider an environment in the vacuum state ( T ¼ 0 ). We show that neglecting inaccessible non-Gaussian correlators increases the entropy of the system as perceived by the observer. Moreover, we consider the effect of a changing mass of the system ﬁeld in the adiabatic regime, and we ﬁnd that at late times no additional entropy has been generated.
Necessary and sufficient conditions for local unitary equivalence of multiqubit states

We derive necessary and sufficient conditions for the LU-equivalence of two general (pure or mixed) $n$-qubit states as well as we determine the local unitary operators connecting them. Almost all relevant information is contained in the $1$-qubit reduced matrices of the multiqubit states under investigation Our technique relies on identifying {\it ab initio} all local symmetries and the corresponding local cyclic unitary operators. To derive the above conditions we use the reference forms of the multiqubit states whose definition requires the diagonalization of the 1-qubit reduced matrices. Based on those conditions we propose a straightforward protocol to decide wether or not two $n$-qubit states are LU-equivalent.
THE CORPORATE SOCIAL RESPONSIBILITY STRATEGIES IN FASHION INDUSTRY

Authors Yuhan Cui Bowen Fan Publication type Thesis, UAS Completion year 2021 Number of pages 51 Title of the thesis The corporate social responsibility strategies in fashion industry Case company: Zara Degree Bachelor of Business Administration (UAS) Name, title and organisation of the client Yuhan Cui, International Business, LAB University of Applied Sciences. Bowen Fan, International Business, LAB University of Applied Sciences. Businesses are taking social responsibility more seriously. This change has happened, because CSR can bring real value to companies for a long time. Therefore, the continuous optimisation of CSR is one of the competitive advantages of companies. Companies need to use CSR strategies to improve reputation and customer loyalty. This thesis puts the effectiveness of Zara's strategy into theory by analysing the CSR strategy of the case company Zara. CSR strategies create added value for the company. These hidden added values have social, environmental, and ethical implications. , It acts as a bridge between the CSR strategy and customer loyalty. Customers' attitudes towards the company's CSR strategy and CSR commitment are responsible for changes in customer loyalty. The conclusions show that Zara's CSR strategy is not very effective. Although its CSR report indicates that the company makes many positive contributions to the economy, human development, and the environment, this is not the case. The destruction of the environment and the disregard for human rights are exquisitely reflected. The article also concludes with some suggestions for the viability of companies in the fast fashion sector.
A thermodynamic description of colloidal glasses

The phase behavior of hard-sphere particles interacting with a short-ranged potential is studied in the limit of infinite space dimensionality via the Franz-Parisi approach and the replica method of disordered systems. For an attractive square-well potential, the phase diagram exhibits reentrance of the liquid-glass transition, multiple glass states and glass-glass transition. For a repulsive square-shoulder potential no such special features are observed. Our results show that the Franz-Parisi approach can be consistently extended to deal with higher-order glass singularities and that interparticle attraction is crucial for complex glassy behavior in large enough dimensions, at least for monodisperse systems.
Catalytic effect of the spinel ferrite nanocrystals on the growth of carbon nanotubes

We prepared three ferrite nanocatalysts: (i) copper ferrite (CuFe2O4), (ii) ferrite where cobalt was substituted by nickel (NixCo1-xFe2O4, with x= 0, 0.2, 0.4, 0.6), and (iii) ferrite where nickel was substituted by zinc (ZnyNi1-yFe2O4 with y= 1, 0.7, 0.5, 0.3), by the sol-gel method. The X-ray diffraction patterns show that the ferrite samples have been crystallized in the cubic spinel structural phase. We obtained the grain size by FE-SEM images in the range of 10-70 nm, and their magnetic properties by VSM. Next, carbon nanotubes were grown on these nanocatalysts by the CCVD method. We show that the catalytic effects of these nanocrystals on the carbon nanotube growth depend on cation distributions in the octahedral and tetrahedral sites, structural isotropy and catalytic power due to cations. Our study can have applications in finding a suitable candidate of doped ferrite nanocrystals as catalysts for carbon nanotube growth. More interestingly, the yield of the fabrication of carbon nanotubes can be considered as an indirect tool to study catalytic activity of ferrites.
Transport properties of Dirac ferromagnet

We propose a model ferromagnet based on the Dirac Hamiltonian in three spatial dimensions, and study its transport properties which include anisotropic magnetoresistance (AMR) and anomalous Hall (AH) effect. This relativistic extension allows two kinds of ferromagnetic order parameters, denoted by $\mathbit{M}$ and $\mathbit{S}$, which are distinguished by the relative sign between the positive- and negative-energy states (at zero momentum) and become degenerate in the nonrelativistic limit. Because of the relativistic coupling between the spin and the orbital motion, both $\mathbit{M}$ and $\mathbit{S}$ induce anisotropic deformations of the energy dispersion (and the Fermi surfaces) but in mutually opposite ways. The AMR is determined primarily by the anisotropy of the Fermi surface (group velocity), and secondarily by the anisotropy of the damping; the latter becomes important for $\mathbit{M}=\ifmmode\pm\else\textpm\fi{}\mathbit{S}$, where the Fermi surfaces are isotropic. Even when the chemical potential lies in the gap, the AH conductivity is found to take a finite nonquantized value ${\ensuremath{\sigma}}_{ij}=\ensuremath{-}(\ensuremath{\alpha}/3{\ensuremath{\pi}}^{2}\ensuremath{\hbar}){\ensuremath{\epsilon}}_{ijk}{S}_{k}$, where $\ensuremath{\alpha}$ is the (effective) fine structure constant. This offers an example of Hall insulator in three spatial dimensions.
Fractional quantum Hall effect in topological insulators: The role of Zeeman effect

We study the role of Zeeman effect in fractional quantum Hall effect (FQHE) on the surface of topological insulators (TIs). We show that the effective pseudopotentials of the Coulomb interaction are reformed due to Zeeman effect, which are quite different from those in graphene. By exactly diagonalizing the many-body Hamiltonian in the sphere geometry, we find that the ground state energies and the excitation gaps at $\nu$=1/3 FQHE between the $n$=$\pm1$ Landau levels (LLs) render asymmetry, and the FQHE state at the $n$=1 LL is more robust than that at $n$=-1 LL since the excitation gap at $n$=1 LL is larger than that at $n$=-1 LL.
The Effect of Cooking Process on Nutritional Composition of Lais Fish (Cryptopterus sp.)

Research has been carried out on the effect of the cooking process on the nutrient composition of Lais Fish (Cryptopterus sp.). The purpose of this study was to ascertain the effect of the cooking process, they are frying, boiling, steaming, and roasting on the nutritional content of Lais Fish (Cryptopterus sp.). The analysis carried out include analysis of water content, carbohydrate content, protein content, fat content, and ash content. The analyzed food ingredients were divided into 4 forms of treatment that is fried, boiled, steamed, and roasted. The method used are the analysis of water content using the oven method (Thermogravimetry), carbohydrate content using clegg anthrone method, protein content using the Kjeldahl method, fat content using the Soxhlet method, and ash content using the furnace method. The results showed that each cooking process had different levels of nutrients. The highest protein was found in steaming process at 20.05%; Fat (12.08%), carbohydrates (24.73%), and ash content (8.59%) were highest in frying process, while the highest water content was in boiling process (62,85%). The high or low of these nutrient levels due to the temperature and the longer of the cooking process. However, the most important thing in food processing is that food can have high nutritional value and be safe for consumption.
Study on the optimal allocation of comprehensive energy in the park

According to the demand response mode of the user side, this paper divides the flexible load into translational, reducible and transferable loads, briefly analyzes and introduces the operation characteristics of the three loads, and constructs the park comprehensive energy source system including wind power generation, photovoltaic, gas turbine and gas boiler. Considering the system investment cost, operation cost, fuel cost and compensation cost, this paper constructs the optimal allocation model of electric heating system in the park with the optimal total cost, and optimizes it through YALMIP in MATLAB. The final results show that the participation of flexible load and electric heating energy storage can not only effectively reduce the initial investment cost and total system cost in the early stage of the park, but also reasonably adjust the load curve, the optimal output point of energy storage equipment is obtained to determine the capacity of energy storage equipment.
Reinforced Soil Structures: From Standard Design to BIM

Building Information Modeling (BIM) emerges as a new process for the architectural, structural, engineering and construction sectors. It is based on three-dimensional (3D) parametric models which centralizes geometrical, physical and project information. The implementation of BIM within the Geotechnical Engineering sector has not reached yet a good level of robustness, frequently appearing as a new concept. BIM methodology in geotechnics and in the design of Reinforced Soil Structures (RSS) represents an opportunity which could enable the AECO world (Architecture, Engineering, Construction, Owner and Operator) to implement the infrastructural BIM, managing complex projects. With BIM, it is possible to improve the construction quality and reduce the wastage of the supplied materials as it allows an overview of the construction models through multidimensional digital design solutions which provide simulation and analysis by using different design software. This paper aims to clarify issues which might arise during the BIM design of RSS. In particular, this paper presents the case of a Mechanically Stabilized Earth (MSE) wall which comprises precast concrete facing panels and discrete high adherence polymeric soil reinforcing strips. The application of BIM technology in this research provides guidelines for design optimization and construction improvement.
Summer soil CO2 emission from bog surface: controlling factors

The peatlands in the northern hemisphere cover just 3% of the global landmass but their impact to the carbon emission is huge. The current climate changes exert influence on these ecosystems by changing water supply, temperature regime, plant growing activity and others. Nowadays studies predicted the important role of the northern bogs and peatlands as an additional source of atmospheric CO2. In our study we estimated how microrelief and microclimatic conditions can control the CO2 emission from the bog area. We compared also the waterlogged bog conditions and forest ecosystem to find out the main drivers of soil emission dynamics during the summer season. The rate of CO2 emission varies widely within bog area depending on the microrelief of the area: hollow – 0.74±0.03, ridge – 1.69±0.08 kg CO2 m–2. The comparative analysis versus the forest area showed that the upland parts of the bog area are not inferior to the forest area in terms of the emission rate. Moisture conditions determined the CO2 efflux for the hollow site (r=0.49, p<0.05) and forested area (r=0.39, p<0.05). The temperature impact is observed for all sites and it is significant throughout the season.
Embodied Artificial Intelligence: Enabling the Next Intelligence Revolution

There has been a long-standing debate about the extent to which the human mind controls the human body and vice-versa. Today this debate still powers a profound scientific desire to deepen our understanding of the nature of both humans' and animals' intelligent, adaptive behavior. In order to gain further insights into intelligence and explore how our brain and bodies develop through physical interactions with the world, Embodied Intelligence places the physical entity of the human body at the center of this subject. In the age of AI and Machine Learning, Embodied Intelligence research remains highly important as it can deliver valuable input which enhances the impact of conventional AI technology. Embodied Intelligence provides potential solutions for current AI technologies that are dependent on large amounts of data and reliable output whilst that output is reliant on uncertain, unstructured tasks and situations aligned closely to human users both as individuals and communities. In the following Chapter we discuss current trends and directions within this interdisciplinary community, and also the future challenges and opportunities.
BPS states in string theory

OF THE DISSERTATION BPS states in string theory by Evgeny Andriyash Dissertation Director: Professor Gregory Moore In this thesis we discuss a number of interesting and important properties of BPS states in string theory. We study wall-crossing behavior of BPS states at large volume limit and implications of it for the OSV conjecture. We find that the weak topological coupling OSV conjecture can be true at most in a special chamber of the Kähler cone. We also clarify an interesting puzzle arising in the description of BPS states on the Higgs branch of supersymmetic quantum mechanics. Using methods of toric geometry we compute Hilbert spaces of BPS states on the compactified Higgs branch and arrive at completely consistent picture of spatial Spin(3) structure of those spaces. We introduce new kinds of walls, called Bound State Transformation(BST) walls, in the moduli space across which the nature of BPS bound states changes but the index remains continuous. These walls are necessary to explain the continuity of BPS index. BPS states can undergo recombination, conjugation or hybrids of the two when crossing a BST wall. Conjugation phenomenon happens near singularities in the moduli space and we relate massless spectra of BPS states at such singularities to monodromies around them. In cases when massless vector BPS particles are present we find new constraints on the spectrum and in particular predict the existence of magnetic monopoles becoming massless at such singularities. We give a simple physical derivation of the Kontsevich-Soibelman wall-crossing formula. Considering galaxy-like configurations of BPS particles with a central supermassive black hole with a number of stellar BPS systems around it we derive a consistency requirement on the partition function of such BPS galaxies. This requirement turns out to be nothing but KontsevichSoibelman wall-crossing formula. Our approach gives a generalization of the formula for the
Leveraging Embodied Intelligence for Dexterous Robotic Manipulators Through Iterative Co-design

The role of embodied intelligence (EI) has the potential to overcome current limitations in the fabrication, control, and resulting behavior to create robust and effective dexterous robotic manipulators. To develop hands that truly exploit EI, we must design hands by considering the entire system: the physical body, sensory systems, and the brain (the controller). However, we lack clear approaches and methods that enable this system level design for hands. We introduce an iterative approach for co-design which seeks to utilize simulation and real world evaluation to maximize the performance by distributing EI across the different elements of the system. To achieve this vision we require hands that can be rapidly fabricated with variability in the design space. Thus, to further the development of robotic hands that utilize EI we need streamlined fabrication pipelines which incorporate spatially distributed sensors, complex geometries and materials, and control distributed at the sensory-motor and high task planning domains.
Urban Integrated Energy Edge Collaboration and Privacy Protection Based on the Federated Learning Framework

In the context of building a low-carbon integrated energy city, the energy data of electricity, water, heat, gas and other in city belong to different public utility management departments, and there are information barriers and data privacy protection issues between different energy systems. Under the premise of ensuring data security, aiming at the problem of training algorithm models for different energy data, the energy edge collaboration architecture based on homomorphic encrypted federated learning is proposed firstly, and then the urban comprehensive energy federated learning model is established to realize the local training model and transmit the updated model parameters to the server. Finally, the prediction of multivariate short-term loads by federated learning framework training and centralized training neural network models is verified by comparative experiments, and the results prove the feasibility and superiority of urban integrated energy edge collaboration and privacy protection based on federated learning framework in the field of urban integrated energy.
Elemental composition of the oligotrophic peat soils in Yamalo-Nenets Autonomous District (Western Siberia)

The research aimed to evaluate the specifics of the elemental composition of oligotrophic peat soils (Cryic Histosols) in Yamalo-Nenets Autonomous district. The content of 32 chemical elements was analyzed in the soil samples using CHN Elemental Analyzer and the atomic emission method. The soil density, ash and organic carbon content were measured along with elemental composition. The ratio of TC/TN (total carbon to total nitrogen) and the degree of pedogenic maturity (degree of organic matter intramolecular oxidation) were calculated. The research shows that the elemental composition of the oligotrophic peat soils of flat-mound frost bogs in Yamalo-Nenets Autonomous District varies widely, and it is closely connected with organic matter features. The content of Ca, Cd, Pb, and Zn correlates negatively (ρ are from -0.71 to -0.63) with the total carbon content. Accordingly, the same elements interconnect with the degree of pedogenic maturity (ρ are from 0.66 to 0.74). Still, there is no dependency between the organic carbon content and the elemental composition of the peat soils. The following factors may result in this: residual eutrophication; the release of elements trace from permafrost sediments and their involvement in local hydrogeochemical fluxes; local geochemical features (for example, the proximity of the Polar Urals).
Inverse design of cooperative electromagnetic interactions

The cooperative electromagnetic interactions between discrete resonators have been widely used to modify the optical properties of metamaterials. Here we propose a general evolutionary approach for engineering these interactions in arbitrary networks of resonators. To illustrate the performances of this approach, we designed by genetic algorithm, an almost perfect broadband absorber in the visible range made with a simple binary array of metallic nanoparticles.
Timing Diﬀerences: Discursive Diversity and Team Performance

How does cognitive diversity in a group aﬀect its performance? Prior research suggests that cognitive diversity poses a performance tradeoﬀ: diverse groups excel at creativity and innovation but struggle to take coordinated action. Building on the insight that group cognition is not static but is instead dynamically and interactively produced, we develop a novel conceptualization of group cognitive diversity—discursive diversity, or the degree to which the semantic meanings expressed by group members diverge from one another at a given point in time. We propose that the relationship between this time-varying measure of group cognition and team performance varies as a function of task type: discursive diversity enhances performance when groups are engaged in ideational tasks but impedes performance when they perform coordination tasks. Using the tools of computational linguistics to derive a measure of discursive diversity, and drawing on a novel longitudinal data set of intragroup electronic communications, group members’ demographic traits, and performance outcomes for 117 remote software development teams on an online platform (Gigster), we ﬁnd support for our theory. These results suggest that the performance tradeoﬀ of group cognitive diversity is not inescapable: Groups can circumvent it by modulating discursive diversity to match their task requirements. that matches freelance developers and project managers to projects for individual and corporate clients. Consistent with the theory we develop, our empirical analyses demonstrate that the performance beneﬁts of divergent and convergent group cognition vary by the task the group is trying to execute. Discursive diversity reduces the likelihood of success early and late in a project milestone, when the team’s tasks are more focused on coordination. In contrast, discursive diversity increases the chances of success in the middle stages of a project milestone, when the team’s tasks focus more on ideation.
Stabilization of fuzzy systems with quantization and packet dropout

The discrete‐time and continuous‐time fuzzy systems with quantization and packet dropout are considered in this paper. The quantizer used here is a uniform one with arbitrary quantization regions, and the packet dropout process is modeled as a time‐homogenous Markov process. Because of the properties of packet dropout process, the fuzzy systems considered here are seen as Markov jump fuzzy systems, and the theories of Markov jump system are used to discuss the mean square stability of the closed‐loop systems. On the basis of the zoom strategy and Lyapunov theory, for the given failure rate and recovery rate, sufficient conditions are given for the closed‐loop fuzzy systems to be mean square stable, and the feedback controllers are designed to ensure the stability of fuzzy systems. A single link direct joint driven manipulator model is presented to show the effectiveness of the main results. Copyright © 2013 John Wiley & Sons, Ltd.