Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonperturbative analysis of the constraints and the positivity of the energy of the complete Hořava theory

We perform a nonperturbative analysis to the Hamiltonian constraint of the lowest-order effective action of the complete Ho\ifmmode \check{r}\else \v{r}\fi{}ava theory, which includes a $({\ensuremath{\partial}}_{i}\mathrm{ln}﻿N{)}^{2}$ term in the Lagrangian. We cast this constraint as a partial differential equation for $N$ and show that the solution exists and is unique under a condition of positivity for the metric and its conjugate momentum. We interpret this condition as the analog of the positivity of the spatial scalar curvature in general relativity. From the analysis we extract several general properties of the solution for $N$: an upper bound on its absolute value and its asymptotic behavior. In particular, we find that the asymptotic behavior is different from that of general relativity, which has consequences on the evolution of the initial data and the calculus of variations. Similarly, we proof the existence and uniqueness of the solution of the equation for the Lagrange multiplier of the theory. We also find a relationship between the expression of the energy and the solution of the Hamiltonian constraint. Using it we prove the positivity of the energy of the effective action under consideration. Minkowski spacetime is obtained from Ho\ifmmode \check{r}\else \v{r}\fi{}ava theory at minimal energy.
Galaxy pairs in the Local Group

Current models of galaxy formation predict that galaxy pairs of comparable magnitudes should become increasingly rare with decreasing luminosity. This seems at odds with the relatively high frequency of pairings among dwarf galaxies in the Local Group. We use literature data to show that ~30% of all satellites of the Milky Way and Andromeda galaxies brighter than M_V=-8 are found in likely physical pairs of comparable luminosity. Besides the previously recognised pairings of the Magellanic Clouds and of NGC 147/NGC 185, other candidate pairs include the Ursa Minor and Draco dwarf spheroidals, as well as the And I/And III satellites of M31. These pairs are much closer than expected by chance if the radial and angular distributions of satellites were uncorrelated; in addition, they have very similar line-of-sight velocities and luminosities that differ by less than three magnitudes. In contrast, the same criteria pair fewer than 4% of satellites in N-body/semi-analytic models that match the radial distribution and luminosity function of Local Group satellites. If confirmed in studies of larger samples, the high frequency of dwarf galaxy pairings may provide interesting clues to the formation of faint galaxies in the current cosmological paradigm.
The Impact of Alternative Dietary Replacement of Inorganic Copper Salt with Organic and Nano Form on Productive Performance and Egg Quality Characteristics of Laying Hens

This study investigated the effect of dietary replacement of inorganic copper (CuO) with its organic or nano source on productive performance, egg quality and blood biochemical constituents of layers. Three hundred, 55 weeks old of Isa Brown hens were randomly allotted into 5 groups. First group received CuO at 8 mg/kg diet, while the second and third group supplemented with the organic form of Cu (copper polysaccharide complex) at 8 and 4 mg/kg diet, respectively. Fourth and fifth group received the Cu as nanoparticles (CuO-NPs) at the same levels of the organic form, respectively. Birds fed the experimental diets for 10 weeks at 110 g/hen/day. Organic Cu failed to compensate body weight losses (P > 0.05), and the CuO-NPs significantly increased it (P < 0.05). Both organic and CuO-NPs non-significantly increased average egg production, shell composition of calcium and phosphorus % and yolk Cu contents (P > 0.05). In contrast, the organic and Nano-CuO salts reduced egg yolk cholesterol contents (P < 0.05). Besides, they caused an interesting reduction of cracked egg percentage (P < 0.05). Additionally, both organic and CuO-NPs increased serum Cu levels, MDA and SOD activities while reduced serum glutathione peroxidase activity compared with CuO (P < 0.05). Moreover, serum lipid profile was significantly altered as triglycerides concentration was increased while total cholesterol was reduced in birds received organic and CuO-NPs. So , the organic or Nano forms of Cu could be used as safe alternative sources in layer diets replacing the inorganic Cu without compromising their productive performance.
AFSNet: Multi-Scale Adaptive Feature Scaling Convolutional Network for Real-time Object Detection

Summary Deep learning approaches showed significant performance in current computer vision tasks particularly on image classification and object detection. Object detection is growing its popularity for video surveillance systems and recognizing objects. Convolutional neural networks (CNNs) opens a wide path for computer vision applications. In this paper, we proposed a method to enable select target classes for detection, produce an initial detection representation by selecting a specific portion of the image and maintain the trainset for detection model. The method achieved noticeable detection results to detect multi-class objects. However, object detection frameworks face difficulties to localize small objects. The main cause of this problem is to adopt exact feature mapping and extracting strategy. Due to the low pixel value feature extractors unable to map and localize the small objects. To eliminate the issue we designed a convolutional network named Adaptive Feature Scaler (AFS) Convolutional network. The network constructed to localize and extract exact feature data to detect multi-class objects.
A Quantitative Investigation into the Authenticity Well-being Statistical Relationship within Person-Centred Psychotherapy

Purpose : The purpose of this quantitative study was to investigate the statistical relationship between client authenticity and well-being across the duration of person-centred psychotherapy. In doing so, Rogers’ (1959) assertion that person-centred psychotherapy affects personality change towards greater authenticity, optimal functioning, and well-being, will be tested. Findings from this study will reveal insights into the change process for clients of person-centred psychotherapy. Specifically, this research represents an important step towards providing a clear picture of what clients could expect when engaged in therapy by offering a statistically robust and stable depiction of the change process over time. Additionally, this research will serve as a steppingstone for future researchers wishing to explore more deeply and work towards the longitudinal analysis of the Human Flourishing Project’s client research data. Research Questions : Based on the purpose of this study, the following questions will be answered. Does person-centred psychotherapy affect a change in personality towards greater authenticity as originally suggested by Rogers (1959)? Additionally, what is the statistical relationship between successive person-centred psychotherapy sessions and client scores on the Authenticity Scale and Scale of Well-being? Methodology: This study employed a quantitative correlational design consisting of correlation and regression analysis to investigate the aims of this investigation. Data was collected from the Human Flourishing Project’s research data bank targeting client outcome scores on the Scales of Authenticity measures and 14-item Scales of General Well-Being (14-SGWB). The relationship between client authenticity and well-being scores with successive psychotherapy sessions was investigated with a Linear regression and Bivariate correlation analysis using SPSS statistical software. Findings : Analysis of the data suggests that overall, a positive relationship exists between the Full AS and AL subscale with GWB scores. However, a negative relationship between AEI and SA with well-being scores was found. Additionally, an increase in psychotherapy sessions was found to be predictive of scores on the Full AS and SA subscale as well as GWB scores but not of scores on the AL and AEI subscales. Discussion: The present investigation addressed the gap in literature concerning the investigation of the authenticity well-being relationship and change process within the psychotherapeutic context by examining psychometric data throughout several person-centred psychotherapy sessions. It can be asserted that engaging in person-centred psychotherapy
Characterising Smartness to Make Smart Cities Resilient

In broader terms, a Smart City improves the quality of life of its citizens through the effective use of innovative (digital) solutions. While innovative Smart City solutions keep growing, attention has been paid to resilience-making within Smart Cities, recognising that disasters are unavoidable. In light of the characteristics of a Smart City (smartness requirements) being inchoate and vague, different Smart Cities develop their own smartness criteria. Regardless of the Smart City type, smartness criteria need to adequately embed resilience. Integrating the resilience concept provides a strategic direction for Smart Cities and there is a significant positive relationship between the two concepts, Smart Cities, and urban resilience. Although Smart Cities are increasingly growing in popularity all around the world, there is a lack of research to guide a Smart City to define its smartness reflecting on disaster resilience. This paper intends to address this research gap by setting out a set of smartness criteria (with particular reference to urban (city) resilience) which should compulsorily feature in any type of Smart City that desires to be resilient. The study undertakes a systematic literature review to provide a new dimension, depth, and value to existing research discoveries. The findings are presented by structuring ten urban (city) resilience dimensions built upon six Smart City dimensions: smart economy, smart governance, smart people, smart mobility, smart living, and smart environment. Our findings make a niche contribution to knowledge by guiding Smart Cities that intend to build, enhance, and/or sustain resilience, to develop smartness criteria/smart characteristics reflecting on urban resilience. The research outcomes will be of large importance to Smart City policymakers, administrators, project managers, etc. to efficiently manage extreme events timely with optimal resource allocation and will be of specific interest to all the stakeholders (for instance, the innovators) in a Smart City ecosystem who may use the research outcomes as a decision-making tool.
The Intergenerational Transmission of Housing Wealth

Rising wealth inequality has spurred an increased interest in understanding how and why wealth is correlated across generations. We exploit plausibly exogenous variation in housing wealth driven by home price changes in different areas to isolate the causal impact of parental housing wealth during different childhood periods on children’s long-run wealth accumulation. Using population-level Danish administrative data, we find that 27% and 25% of each Krone of parental housing wealth change during early-childhood is transmitted to children’s overall and housing wealth in adulthood, respectively. The corresponding transmission rates for parental housing wealth changes during middle-childhood are 25% and 15%, with a transmission to non-housing wealth of 10%. There is little evidence of transmission of parental housing wealth changes that occur during the teenage years. Examining mechanisms, we find that parental housing wealth changes in early and middle-childhood lead to modest increases in adult children’s home ownership, educational attainment, and earnings. However, earnings and education can explain only 20-30% of the intergenerational transmission of parental wealth gains during these periods. We argue that the transmission of parental housing wealth changes in childhood are driven in large part by changes to unobserved household environment and parental behaviors that are passed on to children and shape their savings behavior in adulthood.
THE SYNERGY OF RAPAMYCIN AND PIOGLITAZONE ANTISEIZURE ACTION IN PENTYLENETETRAZOL (PTZ)-KINDLED RATS

The investigation was performed on 28 male Wistar rats. Through three weeks of pentylenetetrazol (35.0 mg/kg, i.p.) administrations model of kindled generalized tonic-clonic seizures was created. It was established that combined treatment of fully kindled rats during ten days with rapamycin (1.0 mg/kg, i.p.) and pioglitazone (50.0 mg/kg, i.p.) prevented generalized seizure fits in 7 out of 8 animals(z=2.870, P=0.004). Simultaneously the prevention of ictal discharges generation in the frontal cortex and ventral hippocampus was registered. Seizure severity was reduced by two times when compared with the control group (P<0.05) and significantly less by 30.6% when compared with the one registered in rats treated with rapamycin (2.0 mg/kg, i.p.). The conclusion was made that the antiseizure effects of pioglitazone and rapamycin are intensified under conditions of their combined administration.
UM-PCorpus: A Large Portuguese-Chinese Parallel Corpus

This paper describes the creation of a high quality parallel corpus for Portuguese and Chinese that extracted from parallel and comparable documents. The corpus is constructed using an on-line alignment platform, UM-p Aligner. The UM-p Aligner consists of two main alignment components, parallel sentence identiﬁcation and classiﬁcation model, for acquiring the parallel sentences from either the parallel or comparable texts in a semi-automatic manner. The extracted parallel sentences are manually veriﬁed. The resulting corpus is composed of the parallel sentences covering the texts of the newswire, legal, subtitle, technical and general on-line publications, around 6 million parallel sentences. About 1 million parallel sentences are compiled and made available for download at the NLP 2 CT website.
Materials Science Three-dimensional monolithic porous structures assembled from fragmented electrospun nanofiber mats/membranes: Methods, properties, and applications

S A Three-dimensional (3D) monolithic structures ( i.e. , aerogels/sponges/scaffolds) assembled from fragmented electrospun nanofiber mats/membranes represent an emerging research topic in the electrospinning field. Owing to extremely high porosity, as well as excellent structural flexibility and stability, these 3D nanofibrous structures have attracted significant interests for various applications. In this review, the preparation of 3D monolithic structures are thoroughly dis- cussed; and the properties of 3D structures and their various applications in the fields of environment ( e.g. , organic compound removal, dye adsorption, and filtration and separation), en- ergy ( e.g. , supercapacitor), electronics ( e.g. , pressure sensor), chemical engineering ( e.g. , catalyst support, thermal insulator, and Joule heater), and biomedical engineering ( e.g. , tissue en- gineering, hydrogel, and drug delivery) are summarized. Additionally, the future perspectives and challenges are also presented. It is envisioned that, this review will provide important gui- dance in designing novel 3D electrospun nanofibrous structures and exploring their potential applications.
Muon Anomalous Magnetic Moment and Gauge Symmetry in the Standard Model

No gauge invariant regularization is available for the perturbative calculation of the standard model. One has to add finite counter terms to restore gauge symmetry for the renormalized amplitudes. The muon anomalous magnetic moment can be accurately measured but the experimental result does not entirely agree with the theoretical calculation from the standard model. This paper is to compute the contributions to the muon gyromagnetic ratio $g_{\mu}$ due to the finite counter terms. The result obtained is found to be far from sufficient to explain the discrepancy between theory and experiment.
Pressure Fields and Forces Acting on a Spanwise-Oscillating Hemispherical Turret

An experimental Pressure Sensitive Paint (PSP) study of the unsteady pressure fields on a surface of an oscillating hemispherical turret at subsonic Mach numbers between 0.3 and 0.6 is presented. The oscillating turret assembly, consisted of a rigid turret shell mounted on a rectangular aluminum plate, was built to oscillate at a single frequency within the range of the dominant wake frequencies. The resonant-based aero-elastic response of the turret to the unsteady flow resulted in intermittent forced oscillations in the spanwise direction at this fixed frequency. Modal analysis of the pressure fields, utilizing a Joint POD technique, revealed that the oscillating turret primarily suppressed the global spanwise-antisymmetric separation mode by locking its dynamics to the turret motion. The analysis of the unsteady forces acting on the turret revealed that the oscillating turret reduces the spanwise component of the unsteady force, while keeping other force components mostly unchanged. Intermittent nature of the spanwise force, which is responsible for the intermittent motion of the oscillating turret, was observed and discussed. Finally, the turret vibrational response was measured and was shown to be well approximated by a linear second-order under-damped system.
Primordial black hole production during preheating in a chaotic inflationary model

In this paper we review the production of primordial black holes (PBHs) during preheating after a chaotic inflationary model. All relevant equations of motion are solved numerically in a modified version of HLattice, and we then calculate the mass variance to determine structure formation during preheating. It is found that production of PBHs can be a generic result of the model, even though the results seem to be sensitive to the values of the smoothing scale. We consider a constraint for overproduction of PBHs that could uncover some stress between inflation-preheating models and observations.
SELF-SHIELDING OF SOFT X-RAYS IN TYPE Ia SUPERNOVA PROGENITORS

There are insufficient super-soft (∼0.1 keV) X-ray sources in either spiral or elliptical galaxies to account for the rate of explosion of Type Ia supernovae (SNe Ia) in either the single-degenerate or the double-degenerate scenarios. We quantify the amount of circumstellar matter that would be required to suppress the soft X-ray flux by yielding a column density in excess of 1023 cm−2. We summarize evidence that appropriate quantities of matter are extant in SNe Ia and in recurrent novae that may be supernova precursors. The obscuring matter is likely to have a large, but not complete, covering factor and to be substantially non-spherically symmetric. Assuming that much of the absorbed X-ray flux is re-radiated as blackbody radiation in the UV, we estimate that ≲100 sources might be detectable in the Galaxy Evolution Explorer All-sky Survey.
Emotion Recognition System from Speech using Convolutional Neural Networks

— Emotions can affect human behaviors directly. This situation makes people want to learn the emotion states of the other people they are in touch. The emotion state information can be used in lots of areas in order to improve efficiency. It is a challenging task and requires a wide working pipeline starting from data acquisition to classification. Today, many researchers work in order to recognize emotions using different techniques including text analyzing, body movement analyzing, facial expressions and voice. In this work, we proposed an approach for this problem. Our approach uses human voice and makes classification using a convolutional neural network. The paper explains how our recognizer pipeline is created and how it works in detail.
Hirota bilinear method for constructing integrable discretizations of semidiscrete solitonic equations

Hirota bilinear method for constructing integrable discretizations of solitonic equations is presented. For illustrating the full procedure we reunite the results presented in literature for several semidiscrete integrable forms of KdV, mKdV, multicomponent Ablowitz-Ladik and general Volterra system.
“A Comparative Evaluation of Antimicrobial Activity and Tensile Bond Strength of Orthodontic Adhesive Incorporated With Bioactive Glass and Octenidine Dihydrochloride Antimicrobial Agents: An In Vitro Study”

---------------------------------------------------------------------------------------------------------------------------------------ABSTRACT Background: The goal of this research is to investigate whether incorporating Bioactive glass & Octenidine dihydrochloride antimicrobial agents into widely viable orthodontic adhesive would contribute to antimicrobial activity without compromising the adhesives tensile bond strength. Methods: 120 adhesive discs and 120 extracted human maxillary premolars were used in the study. These specimens were categorized into 3 distinct groups of 40 each and evaluated at 4 different time intervals i.e., 24 hours, 3 months, 6months, 1 year. Results: At 24 hours, 3 months and 6 months, it was observed that the antimicrobial activity of bioactive glass is higher than octenidine dihydrochloride. At 1 year, both bioactive glass and octenidine dihydrochloride showed no antimicrobial activity. The tensile bond strength was greater in the control group than with BAG and ODH group at all the time intervals. But both BAG and ODH had sufficient bond strength values. Conclusion: In conclusion, the newer experimental adhesives incorporated with Bioactive glass and Octenidine dihydrochloride are favorable for clinical application as these have promising antibacterial activity without compromising the orthodontic adhesives tensile bond strength.
Brief Announcement: Minimizing Congestion in Hybrid Demand-Aware Network Topologies

Emerging reconfigurable optical communication technologies enable demand-aware networks: networks whose static topology can be enhanced with demand-aware links optimized towards the traffic pattern the network serves. This paper studies the algorithmic problem of how to jointly optimize the topology and the routing in such demand-aware networks, to minimize congestion. We investigate this problem along two dimensions: (1) whether flows are splittable or unsplittable, and (2) whether routing on the hybrid topology is segregated or not, i.e., whether or not flows either have to use exclusively either the static network or the demand-aware connections. For splittable and segregated routing, we show that the problem is 2-approximable in general, but APX-hard even for uniform demands induced by a bipartite demand graph. For unsplittable and segregated routing, we show an upper bound of O (log m/ log log m ) and a lower bound of Ω (log m/ log log m ) for polynomial-time approximation algorithms, where m is the number of static links. Under splittable (resp., unsplittable) and non-segregated routing, even for demands of a single source (resp., destination), the problem cannot be approximated better than Ω ( c max /c min ) unless P=NP, where c max (resp., c min ) denotes the maximum (resp., minimum) capacity. It is still NP-hard for uniform capacities, but can be solved efficiently for a single commodity and uniform capacities.