Miracle-dz/UniFAR-FTUs huggingface dataset:
Geometry of joint reality: Device-independent steering and operational completeness

We look at what type of arguments can rule out the joint reality (or value definiteness) of two observables of a physical system, such as a qubit, and give several strong yet simple no-go results based on assumptions typically weaker than those considered previously. The first result uses simple geometry combined with a locality assumption to derive device-independent steering inequalities. These may also be regarded as "conditional" Bell inequalities, are simpler in principle to test than standard Bell inequalities, and for two-qubit systems are related to properties of the quantum steering ellipsoid. We also derive a Bell inequality from locality and a one-sided reality assumption, and demonstrate a close connection between device-independent steering and Bell nonlocality. Moreover, we obtain a no-go result without the use of locality or noncontextuality assumptions, based on similar geometry and an assumption that we call "operational completeness". The latter is related to, but strictly weaker than, preparation noncontextuality. All arguments are given for finite statistics, without requiring any assumption that joint relative frequencies converge to some (unobservable) joint probability distribution. We also generalise a recent strong result of Pusey, for preparation noncontextuality, to the scenarios of device-independent steering and operational completeness.
Representing Polish groupoids via metric structures.

We prove that every open $\sigma$-locally Polish groupoid $G$ is Borel equivalent to the groupoid of models on the Urysohn sphere $\mathbb{U}$ of an $\mathcal{L}_{\omega_1\omega}$-sentence in continuous logic. In particular, the orbit equivalence relations of such groupoids are up to Borel bireducibility precisely those of Polish group actions, answering a question of Lupini. Analogously, every non-Archimedean (i.e., every unit morphism has a neighborhood basis of open subgroupoids) open quasi-Polish groupoid is Borel equivalent to the groupoid of models on $\mathbb{N}$ of an $\mathcal{L}_{\omega_1\omega}$-sentence in discrete logic. The proof in fact gives a topological representation of $G$ as the groupoid of isomorphisms between a "continuously varying" family of structures over the space of objects of $G$, constructed via a topological Yoneda-like lemma of Moerdijk for localic groupoids and its metric analog. Other ingredients in our proof include the Lopez-Escobar theorem for continuous logic, a uniformization result for full Borel functors between open quasi-Polish groupoids, a uniform Borel version of Katětov's construction of $\mathbb{U}$, groupoid versions of the Pettis and Birkhoff--Kakutani theorems, and a development of the theory of non-Hausdorff topometric spaces and their quotients.
Towards analog quantum simulations of lattice gauge theories with trapped ions

Gauge field theories play a central role in modern physics and are at the heart of the Standard Model of elementary particles and interactions. Despite significant progress in applying classical computational techniques to simulate gauge theories, it has remained a challenging task to compute the real-time dynamics of systems described by gauge theories. An exciting possibility that has been explored in recent years is the use of highly-controlled quantum systems to simulate, in an analog fashion, properties of a target system whose dynamics are difficult to compute. Engineered atom-laser interactions in a linear crystal of trapped ions offer a wide range of possibilities for quantum simulations of complex physical systems. Here, we devise practical proposals for analog simulation of simple lattice gauge theories whose dynamics can be mapped onto spin-spin interactions in any dimension. These include 1+1D quantum electrodynamics, 2+1D Abelian Chern-Simons theory coupled to fermions, and 2+1D pure Z2 gauge theory. The scheme proposed, along with the optimization protocol applied, will have applications beyond the examples presented in this work, and will enable scalable analog quantum simulation of Heisenberg spin models in any number of dimensions and with arbitrary interaction strengths.
One-shot Face Reenactment

To enable realistic shape (e.g. pose and expression) transfer, existing face reenactment methods rely on a set of target faces for learning subject-specific traits. However, in real-world scenario end-users often only have one target face at hand, rendering existing methods inapplicable. In this work, we bridge this gap by proposing a novel one-shot face reenactment learning framework. Our key insight is that the one-shot learner should be able to disentangle and compose appearance and shape information for effective modeling. Specifically, the target face appearance and the source face shape are first projected into latent spaces with their corresponding encoders. Then these two latent spaces are associated by learning a shared decoder that aggregates multi-level features to produce the final reenactment results. To further improve the synthesizing quality on mustache and hair regions, we additionally propose FusionNet which combines the strengths of our learned decoder and the traditional warping method. Extensive experiments show that our one-shot face reenactment system achieves superior transfer fidelity as well as identity preserving capability than alternatives. More remarkably, our approach trained with only one target image per subject achieves competitive results to those using a set of target images, demonstrating the practical merit of this work. Code, models and an additional set of reenacted faces have been publicly released at the project page.
Many-body dynamical localization in the kicked Bose-Hubbard chain

We provide evidence that a clean kicked Bose-Hubbard model exhibits a many-body dynamically localized phase. This phase shows ergodicity breaking up to the largest sizes we were able to consider. We argue that this property persists in the limit of large size. The Floquet states violate eigenstate thermalization and then the asymptotic value of local observables depends on the initial state and is not thermal. This implies that the system does not generically heat up to infinite temperature, for almost all the initial states. Differently from many-body localization here the entanglement entropy linearly increases in time. This increase corresponds to space-delocalized Floquet states which are nevertheless localized across specific subsectors of the Hilbert space: In this way the system is prevented from randomly exploring all the Hilbert space and does not thermalize.
Chemical Reactions-Based Microfluidic Transmitter and Receiver for Molecular Communication

The design of communication systems capable of processing and exchanging information through molecules and chemical processes is a rapidly growing interdisciplinary field, which holds the promise to revolutionize how we realize computing and communication devices. While molecular communication (MC) theory has had major developments in recent years, more practical aspects in designing components capable of MC functionalities remain less explored. Motivated by this, we design a microfluidic MC system with a microfluidic MC transmitter and a microfluidic MC receiver based on chemical reactions. Considering existing MC literature on information transmission via molecular pulse modulation, the proposed microfluidic MC transmitter is capable of generating continuously predefined pulse-shaped molecular concentrations upon rectangular triggering signals using chemical reactions inspired by how cells generate pulse-shaped molecular signals in biology. We further design a microfluidic MC receiver capable of demodulating a received signal to a rectangular output signal using a thresholding reaction and an amplifying reaction. Our chemical reactions-based microfluidic molecular communication system is reproducible and well-designed, and more importantly, it overcomes the slow-speed, unreliability, and non-scalability of biological processes in cells. To reveal design insights, we also derive the theoretical signal responses for our designed microfluidic transmitter and receiver, which further facilitate the transmitter design optimization. Our theoretical results are validated via simulations performed through the COMSOL Multiphysics finite element solver. We demonstrate the predefined nature of the generated pulse and the demodulated rectangular signal together with their dependence on design parameters.
NICER Observes a Secondary Peak in the Decay of a Thermonuclear Burst from 4U 1608–52

We report for the first time below 1.5 keV, the detection of a secondary peak in an Eddington-limited thermonuclear X-ray burst observed by the Neutron Star Interior Composition Explorer (NICER) from the low-mass X-ray binary 4U 1608–52. Our time-resolved spectroscopy of the burst is consistent with a model consisting of a varying-temperature blackbody, and an evolving persistent flux contribution, likely attributed to the accretion process. The dip in the burst intensity before the secondary peak is also visible in the bolometric flux. Prior to the dip, the blackbody temperature reached a maximum of ≈3 keV. Our analysis suggests that the dip and secondary peak are not related to photospheric expansion, varying circumstellar absorption, or scattering. Instead, we discuss the observation in the context of hydrodynamical instabilities, thermonuclear flame spreading models, and reburning in the cooling tail of the burst.
Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data

Object It is increasingly popular to collect as much data as possible in the hospital setting from clinical monitors for research purposes. However, in this setup the data calibration issue is often not discussed and, rather, implicitly assumed, while the clinical monitors might not be designed for the data analysis purpose. We hypothesize that this calibration issue for a secondary analysis may become an important source of artifacts in patient monitor data. We test an off-the-shelf integrated photoplethysmography (PPG) and electrocardiogram (ECG) monitoring device for its ability to yield a reliable pulse transit time (PTT) signal. Approach This is a retrospective clinical study using two databases: one containing 35 subjects who underwent laparoscopic cholecystectomy, another containing 22 subjects who underwent spontaneous breathing test in the intensive care unit. All data sets include recordings of PPG and ECG using a commonly deployed patient monitor. We calculated the PTT signal offline. Main results We report a novel constant oscillatory pattern in the PTT signal and identify this pattern as a sawtooth artifact. We apply an approach based on the de-shape method to visualize, quantify and validate this sawtooth artifact. Significance The PPG and ECG signals not designed for the PTT evaluation may contain unwanted artifacts. The PTT signal should be calibrated before analysis to avoid erroneous interpretation of its physiological meaning.
Lattice small polarons and magnetic interactions drive preferential nanocrystal growth in silicon doped hematite.

Understanding the interplay between the structural, chemical and physical properties of nanomaterials is crucial for designing new devices with enhanced performance. In this regards, doping of metal oxides is a general strategy to tune size, morphology, charge, lattice, orbital and spin degrees of freedoms and has been shown to affect nanomaterials properties for photoelectrochemical water splitting, batteries, catalysis, magnetic applications and optics. Here we report the role of lattice small polaron in driving the morphological transition from nearly isotropic to nanowire crystals in Si doped hematite ($\alpha-Fe_2O_3$). Lattice small polaron formation is well evidenced by the increase of hexagonal strain and degree of distortion of $FeO_6$ showing a hyperbolic trend with increasing Si content. Local analysis via pair distribution function highlights an unreported crossover from small to large polarons, which affects the correlation length of the polaronic distortion from short to average scales. Ferromagnetic double exchange interactions between $Fe^{2+}/Fe^{3+}$ species is found to be the driving force of the crossover, constraining the chaining of chemical bonds along the [110] crystallographic direction. This promotes the increase in the reticular density of Fe atoms along the hematite basal plane only, which boosts the anisotropic growth of nanocrystals with more extended [110] facets. Our results show that magnetic and electronic interactions drive preferential crystallographic growth in doped metal oxides, thus providing a new route to design their functional properties.
Cost-Effectiveness / Utility Analysis of Two Drug Regimens in the Treatment of Depression

This paper compares the cost-effectiveness/utility of drug regimens based on fluoxetine and moclobemide in the treatment of depression in Finland. The outcome data are based on a 6 week double-blind RCT (n=209) and the cost data on a cost study linked to the RCT (n=141). Quality of life changes were measured by 15D. Five different outcome measures were used. Moclobemide showed consistently a better outcome in all outcome measures, but the differences did not generally reach the conventional limit of statistical significance (5%). The difference in the average time-weighted quality-of-life gain on a 0-1 scale was 0.02 (p=0.08). The direct costs were on average lower in the moclobemide regimen, but the difference was not significant (p=0.14), whereas the average total costs (direct and indirect) were almost the same in both regimens. These results suggest that in terms of incremental cost-effectiveness/utility the moclobemide regimen would dominate (produce a better marginal outcome at a equal or less cost), but this conclusion is surrounded by a slightly higher degree of uncertainty than what is conventionally applied. A larger study is needed to give more precision especially to the cost estimates. Cost-Effectiveness/Utility Analysis of Two Drug Regimens in the Treatment of Depression
The Effect of Social Feature Quality on the Social Commerce System

The emergence of social networks has triggered the evolution of e-commerce to what is now known as social-commerce (s-commerce). However, s-commerce users experience problems related to its social features that affect s-commerce effectiveness. Therefore, the paper examines the effect of social feature quality (SFQ) determinants on s-commerce from customer perspective by adapting the information systems success model. A total of 220 online survey responses were analyzed by using confirmatory factor analysis and the structural equitation model to test the proposed model. SFQ shows a significant effect on perceived usefulness and customer satisfaction with an s-commerce system, whereas relationship support quality shows a significant effect on perceived usefulness and customer satisfaction with an s-commerce system but not on social support. A significant relationship is also identified among perceived usefulness, customer satisfaction, and net benefits of an s-commerce system.
Selection of aggregated classifiers for the prediction of the state of technical objects

The basic data in the problem of the prediction of technical object’s state of health based on the known indicators of its operation are the known results of the object state estimation by information about previous service. The problem may be solved using the machine learning methods, it reduces to binary classification of states of the object. The research was conducted in the Matlab environment, ten various basic methods of machine learning were used: naive Bayes classifier, neural networks, bagging of decision trees and others. In order to improve quality of healthy state identification, it has been suggested that aggregated methods combining several basic classifiers should be used. This paper addresses the issue of selection of the best aggregated classifier. The effectiveness of such approach has been confirmed by numerous tests of real-world objects.
Teachers ’ perception of integration of computers in classroom teaching in public secondary schools in Nyamira sub-county , Nyamira county , Kenya

*Corresponding Author E-mail: aliceyungungu@yahoo.com The purpose of the study was to investigate teachers’ perception of integration of computers in classroom teaching in public secondary schools in Nyamira Sub-county, Nyamira County, Kenya. This study drew inspiration from the Diffusion of Innovations (DoI) Theory. Descriptive survey design was adopted for this study because of its appropriateness in seeking relevant information that describes existing phenomena and to find facts that yields accurate information. This study targeted secondary school teachers of public secondary schools in Nyamira Sub-county, Nyamira County, Kenya. To achieve representativeness, thirty percent of the public secondary schools in each division of the district were randomly selected from which forty-six participants were selected for the study. Data analysis was done with frequency distributions and percentages in the form of tables and bar charts using the Statistical Package for the Social Sciences (SPSS) software. The results of the study showed that majority (80%) of the teachers had positive perception of computer integration in teaching. In order to improve teachers’ perception of computer integration, it was recommended that computer integration in teaching should be promoted and “marketed” in teacher training colleges and during in-service workshops, conferences and seminars.
Acquisition on Employment and Wages : Evidence from Finnish Establishments Kristiina Huttunen

This paper examines the effect of foreign acquisition on wages and employment of different skill groups using panel data on Finnish establishments for 1988-2001. Exploiting the availability of a rich set of pre-acquisition controls, we use various regression and propensity score matching methods, including difference-in-differences matching. The results indicate that foreign acquisition has a positive effect on wages. The magnitude of this effect increases with the level of schooling of the workers. The wage increase is not immediate, but happens within 1-3 years from the acquisition. Surprisingly, the matching results indicate that acquired plants reduce, although slightly and slowly, the share of highly educated workers in their employment.
Utilisation of free floating macrophytes for milk process unit wastewater treatment

With the rapid growth of industrialization, water pollution has increased tremendously. The inadequate wastewater management seriously affects the environment; phytoremediation provides a low cost alternative for the waste management. Most of the waste water discharged into water bodies, disturbs the ecological balance and deteriorates the water quality. Phytoremediation provides the low cost eco-friendly method for the wastewater treatment. These are frequently in use by the large scale organisations for the treatment of the wastewater of choice. These artificial wastewater treatment systems consisting of macrophytes are dependent upon various processes like microbial, biological, physical and chemical process for the treatment of the effluent. For the current study free floating aquatic macrophytes Lemna sp. and Eichornia sp. were used to treat the effluents from dairy factory, the biological oxygen demand and chemical oxygen demand of dairy effluent were reduced significantly after treatment with phytoremediation experiments.
HYDROPHOBINS – Using hydrophobins to prevent microbial biofilm growth on mineral surfaces

Introduction Microbial biofilms are an extremely successful way of life. Bacteria and fungi benefit in this symbiotic life form of metabolic exchange, protection and genetic flexibility. They produce a matrix of organic molecules in which they are embedded and which offers new habitats to other organisms, such as other bacteria or fungi. Biofilms cannot be avoided to colonize surfaces in unsterile habitats. So, they can be found everywhere in nature and in technical systems, but they play an ambivalent role. On the one hand biofilms are essential to degrade and transform water contaminations, but on the other hand they can diminish product qualities and damage capital equipment. Biofilms can cover medical equipment such as catheters and pathogenic bacteria, which may be living in the biofilms, are a continuous source of infec tion of the patients. In addition, the metabolism of the biofilm microorganisms may change the composition of the fluids or contaminate them with their products. As biofilms are all-round, the understanding of the biofilm formation and its manipulation are of prime importance in microbiology and material sciences. The choice of a material and the corresponding surface properties like mechanical properties, structure, polarity, and chemistry influence the binding of various molecules and cells. The surface properties affect the biocompatibility of a material and consequently also bacterial adhesion, and biofilm growth. In this project hydrophobins are used as a novel modification of surfaces to change surface properties like hydrophobicity and thus might have an effect on biofi lm formation. Hydrophobins are fungal proteins, which selfassemble on hydrophobic as well as hydrophilic surfaces into extremely stable monolayers. Re combinant hydrophobins provide the opportunity to use these highly surface-active proteins for large-scale surface coatings. Hydrophobins are non-toxic and can be used for surface modification and functionalization (with e.g. enzymes) of industrial re levant materials like steel, plastics, and ceramics.
Mechanical and Structural Properties of a Lightweight Concrete with Different Types of Recycling Coarse Aggregate

The light of the world’s technological development in the construction field and the continuous need to apply of a high-efficiency building materials because old methods is no longer is used after the advent of the solutions that characterized by fast applications and maximum protection in addition to reducing costs and increase the sustainability of the establishment and its design age. The lightweights of various installations are an urgent need to decrease the dead loads. Therefore, this study is specie locally focus on replacing the normal coarse aggregate with lightweight coarse aggregate (claystone (bonza), rubber, thermostone and polystyrene) in various volumetric ratios of (25, 50 and 75) % in addition to a preparation reference mix. For the purpose identifying and studying the important specifications the new concrete which contributes to the self-load reduction of the concrete by reducing the total density of the mixture, were prepared models of cylinders and standard prisms, to evaluate the compressive strength and the splitting tensile strength respectively, Also the modulus of rupture and the unit weight, where carried out. The results tests indicated that a drop in the mechanical properties of the concrete with increasing the lightweight coarse aggregate , mechanical properties values : compressive strength , rupture modulus, splitting tensile strength and flexural strength were between (10.66-28.99) MPa (1.122-3.372) MPa, (3.606-6.83) MPa and (20.101-25.874)MPa compared with a reference mixes (38.44MPa), (3.969MPa), (10.476MPa) and (26.940)MPa respectively for mixes of (25, 50 and75)% with different light coarse aggregate , also the values of an oven dry density were between (1665.5-2287.58)kg/m3 compared with reference mixes (2426.41kg/m³). The best concrete mix was (M7, M10) of low density (1598.4 kg/m3) and (1580.4) kg /m3 and the compression strength within the permissible limits (15.47) MPa.