Miracle-dz/UniFAR-FTUs huggingface dataset:
Reconstruction of purely absorbing, absorbing and phase-shifting, and strong phase-shifting objects from their single-shot in-line holograms

We address the problem of reconstructing phase-shifting objects from their single shot in-line holograms. We show that a phase-shifting object cannot be reliably recovered from its in-line hologram by non-iterative reconstruction routines, and that an iterative reconstruction should be applied. We demonstrate examples of simulated in-line holograms of objects with the following properties: purely absorbing, both absorbing and phase shifting, and strong phase-shifting. We investigate the effects of noise and interference contrast in holograms on the reconstruction results and discuss details of an optimal iterative procedure to quantitatively recover the correct absorbing and phase-shifting properties of the object. We also review previously published reconstructions of experimental holograms and summarize the optimal parameters for retrieval of phase-shifting objects from their in-line holograms.
Assessment of Citizen Perception: A Case Study of Municipal Solid Waste Management System in Guimaraes, Portugal

This study explores a new method of service delivery in the public sector in Guimaraes, which is the UNESCO Heritage Centre. The primary reason for this effort is the paradigm shift in the public service sector, which has resulted in improved services in terms of quality and performance. The study was to evaluate the level of satisfaction citizens derive from the services provided to them. Innovative project for Solid waste management system was investigated in Guimaraes, Portugal. Data collection was done using a convenience sampling technique. Questionnaires were distributed to collect primary data from citizens of Guimaraes. Quantitative techniques were used to analyze data. The findings of the study indicated that citizens of Guimaraes are more satisfied with the new and innovative method of service delivery as compared to the old conventional method. The study also revealed that there is a significant positive relationship between Public Service Delivery and Citizen Satisfaction. Findings may help improve public service delivery projects success rates.
Finding High-Quality Item Attributes for Recommendation

The sparse interactions between users and items on the web have aggravated the difficulty of their representations in recommender systems. Existing approaches leverage item attributes (e.g., item categories and tags) to alleviate the data sparsity problem, so as to enhance the performance and interpretability of recommendation. However, directly using all attributes of items cannot avoid the negative impacts of low-quality attributes, where manually labeling the quality of attributes is time-consuming. To this end, we propose HQRec to jointly measure the quality of attributes automatically and perform recommendation accurately. Specifically, we first analyze the different qualities among item attributes, and propose to leverage item categories to select high-quality tags via category-guided quality measurement and direction-aware optimization in an unsupervised fashion. Then, we propose to capture the complex relations among users and items based on the high-quality attributes, where a novel quality-aware embedding fusion and quality-aware embedding propagation mechanism for users and items is devised. Extensive experiments on four real-world benchmark datasets show drastic performance gains brought by our proposed HQRec framework, which constantly achieves an average of 14.73% improvement over the state-of-the-art baselines in terms of Recall and NDCG metrics. Insightful case studies also show that our automatic quality measurements are highly accurate and interpretable.
RESOLVING THE CIRCUMSTELLAR DISK AROUND THE MASSIVE PROTOSTAR DRIVING THE HH 80–81 JET

We present new high angular resolution observations toward the driving source of the HH 80–81 jet (IRAS 18162–2048). Continuum emission was observed with the Very Large Array at 7 mm and 1.3 cm, and with the Submillimeter Array at 860 μm, with angular resolutions of ∼0. ″1 and ∼0. ″8, respectively. Submillimeter observations of the sulfur oxide (SO) molecule are reported as well. At 1.3 cm the emission traces the well-known radio jet, while at 7 mm the continuum morphology is quadrupolar and seems to be produced by a combination of free–free and dust emission. An elongated structure perpendicular to the jet remains in the 7 mm image after subtraction of the free–free contribution. This structure is interpreted as a compact accretion disk of ∼200 AU radius. Our interpretation is favored by the presence of rotation in our SO observations observed at larger scales. The observations presented here add to the small list of cases where the hundred-AU scale emission from a circumstellar disk around a massive protostar has been resolved.
Can Collaborative Teaching Increase Students’ Motivation and Satisfaction in Learning a Third Language?

The pandemic has forced universities to change their teaching and learning activities. One of the teaching delivery methods being widely used is collaborative teaching. This study seeks to understand how collaborative teaching influences learners' motivation and satisfaction in learning Arabic as a third language. 466 responses were gathered from students in the largest university in Malaysia. The results of PLS-SEM suggest that learners' motivation and satisfaction can be predicted by the collaborative teaching method. Recommendations of future research and implications of the study are also provided. Keywords: Arabic Language Communication; motivation; learning satisfaction; collaborative teaching approach eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7iSI7%20(Special%20Issue). 3803
THE DISKMASS SURVEY. VIII. ON THE RELATIONSHIP BETWEEN DISK STABILITY AND STAR FORMATION

We study the relationship between the stability level of late-type galaxy disks and their star-formation activity using integral-field gaseous and stellar kinematic data. Specifically, we compare the two-component (gas+stars) stability parameter from Romeo & Wiegert (QRW), incorporating stellar kinematic data for the first time, and the star-formation rate estimated from 21 cm continuum emission. We determine the stability level of each disk probabilistically using a Bayesian analysis of our data and a simple dynamical model. Our method incorporates the shape of the stellar velocity ellipsoid (SVE) and yields robust SVE measurements for over 90% of our sample. Averaging over this subsample, we find a meridional shape of for the SVE and, at 1.5 disk scale lengths, a stability parameter of QRW = 2.0 ± 0.9. We also find that the disk-averaged star-formation-rate surface density () is correlated with the disk-averaged gas and stellar mass surface densities (Σe, g and Σe, *) and anti-correlated with QRW. We show that an anti-correlation between and QRW can be predicted using empirical scaling relations, such that this outcome is consistent with well-established statistical properties of star-forming galaxies. Interestingly, is not correlated with the gas-only or star-only Toomre parameters, demonstrating the merit of calculating a multi-component stability parameter when comparing to star-formation activity. Finally, our results are consistent with the Ostriker et al. model of self-regulated star-formation, which predicts . Based on this and other theoretical expectations, we discuss the possibility of a physical link between disk stability level and star-formation rate in light of our empirical results.
Rehabilitation of atrophic posterior partial edentulous maxilla with TTPHIL ALL TILT® technique: 3 year follow-up case report

Maxillary sinus pneumatisation pose a grave clinical challenge for implant fixed rehabilitation in posterior maxilla owing to diminished bone volume. This necessitates sinus lift and grafting which increase the duration and cost and possible surgical complications. Pterygoid implant has a greater short term osseointegration and is a proven treatment method for rehabilitation of highly resorbed posterior maxilla. To overcome the limitations of sinus grafting techniques, the current case report describes the use of flapless, tilted and pterygoid implant for restoration of partially edentulous atrophic maxilla eliminating grafting.
AB INITIO EQUATIONS OF STATE FOR HYDROGEN (H-REOS.3) AND HELIUM (He-REOS.3) AND THEIR IMPLICATIONS FOR THE INTERIOR OF BROWN DWARFS

We present new equations of state (EOSs) for hydrogen and helium covering a wide range of temperatures from 60 K to 107 K and densities from 10−10 g cm−3 to 103 g cm−3. They include an extended set of ab initio EOS data for the strongly correlated quantum regime with an accurate connection to data derived from other approaches for the neighboring regions. We compare linear mixing isotherms based on our EOS tables with available real mixture data. A first important astrophysical application of this new EOS data is the calculation of interior models for Jupiter and comparison with recent results. Second, mass–radius relations are calculated for Brown Dwarfs (BDs) which we compare with predictions derived from the widely used EOS of Saumon, Chabrier, and van Horn. Furthermore, we calculate interior models for typical BDs with different masses, namely, Corot-3b, Gliese-229b, and Corot-15b, and the giant planet KOI-889b. The predictions for the central pressures and densities differ by up to 10% dependent on the EOS used. Our EOS tables are made available in the supplemental material of this paper.
Passivity-based control of the general rotating electrical machine

In this paper we are interested in the output feedback tracking control problem of a general rotating electrical machine model. Our main contribution is the characterization of a class of machines for which a passivity-based controller solves the problem. Roughly speaking, the class consists of machines whose nonactuated dynamics is suitably damped and whose electrical and mechanical dynamics can be decomposed into a cascade systems decomposition (Blondel-Parks transformable), giving the possibility to explicitly characterize a bounded behaviour inside the zero error space. These conditions have a clear physical interpretation in terms of the couplings between the electrical, magnetical and mechanical dynamics of the machine. Examples of machines belonging to this class are the classical Parks machine, the brushless DC motor, and synchronous motors. <<ETX>>
The Polaris-M ray tracing program

An optical design program, Polaris-M, developed at the University of Arizona incorporates many advanced polarization analysis features. At the core of the program is a three-dimensional polarization ray tracing structure used to characterize polarization effects occurring at interfaces and upon propagation through isotropic and anisotropic materials. Reflection and refraction at uniaxial, biaxial, and optically active interfaces are handled rigorously, as well as anisotropic grating structures. By analyzing multiple polarized wavefront components individually, one can study the complicated effects of multiple anisotropic optical elements at the image. Wavefronts can be expanded into polarization aberration terms. Polarized diffraction image formation and polarization dependent optical transfer functions are included.
A 40-nm 91-mW, 90-fps Learning-Based Full HD Super-Resolution Accelerator

Super-resolution has been utilized in a plenty of applications to provide better visual experience. To meet the high-throughput and low-power needs, some dedicated accelerators for super-resolution have been proposed. Neural-network (NN)-based super-resolution accelerators achieve impressive restoration performance, but the high-computational complexity does not allow a high throughput for video streaming. This work presents a super-resolution accelerator that implements the rapid and accurate image super-resolution (RAISR) algorithm for reconstructing super-resolution images. The utilization of the low-resolution (LR) upscaler is increased by 50% by the proposed memory scheduling scheme. Kernel compression is utilized to reduce the overall on-chip memory by 72%. A patch reuse scheme achieves a 91% reduction in external memory access times compared to the direct-mapped design. The architecture is flexible to reconstruct full HD images with a variety of upscaling factors (<inline-formula> <tex-math notation="LaTeX">$2\times $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$3\times $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$4\times $ </tex-math></inline-formula>). Fabricated in a 40-nm CMOS technology, the proposed super-resolution accelerator integrates 3.11-M gates in a core area of 3.33 mm2. The chip is able to deliver a throughput of 90 frame/s (fps) for all supported upscaling factors and dissipates 91 mW at 200 MHz. Compared with the state-of-the-art designs, this work achieves a 5.4-to-<inline-formula> <tex-math notation="LaTeX">$28.4\times $ </tex-math></inline-formula> higher normalized throughput with 5.1-to-<inline-formula> <tex-math notation="LaTeX">$36\times $ </tex-math></inline-formula> lower normalized energy dissipation.
Application for Optimization of New Soft Magnetic Material Motor by Taguchi Method

—The application of new soft magnetic materials in permanent magnet motor can effectively reduce the loss of motor and improve the efficiency of motor. Taguchi method is a local multivariable and multi-objective optimization method widely used in various engineering problems, which can effectively improve the efficiency of engineering optimization. In this paper, based on a 25kW, 1700r/min three-phase permanent magnet motor, the relevant motor model is established in the finite element simulation software, and the relevant simulation analysis is carried out. Combined with Taguchi method optimization, the local optimal structure scheme is obtained. Through optimization, the motor can maintain high efficiency, reduce the cogging torque of the motor by 53.45%, reduce the torque ripple by 36.79%, and increase the torque generated by the permanent magnet per unit mass by 21.42%. Through this optimization, the overall performance of the motor has been significantly improved. The research content of this paper verifies the feasibility of the application of Taguchi method in the optimization of new soft magnetic material motor, provides a new idea for the optimization design of new soft magnetic material motor, and also provides a certain reference for the local multi-objective optimization of the electromagnetic structure of other similar motors.
Assessment of Microsatellite Markers for Parentage Testing in Jersey Crossbred Cattle in Tamil Nadu

A study was aimed to evaluate a set of polymorphic microsatellite markers for their efficiency in testing parentage in Jersey crossbred cattle available in Tamil Nadu. The objective of validation was based on the criteria such as polymorphism information content, various genetic diversity parameters and the ability of markers to exclude the wrong parent. A total of 21 microsatellite markers were included to verify the parentage in 24 Jersey crossbred trios (comprising 24 dams, 24 progenies and 2 sires). The microsatellite loci were amplified using fluorescently labelled primers by multiplex PCR and fragment analysis was done through capillary electrophoresis using automated DNA analyzer. Statistical analyses were done using Pop gene version 1.31, CERVUS 3.0. 7 and GENALEX 6.503 software programs. The number of alleles for the markers utilized in the study ranged from 4 (ILSTS11) to 12 (INRA23 and TGLA122) with an overall mean of 8.0952 ± 0.47 alleles per locus. The markers also exhibited high expected heterozygosity (He) and polymorphism information content (PIC) ranging from 0.6362 (ETH3) to 0.8629 (SPS115) with a mean of 0.7681 ± 0.013 and 0.592(ETH3) to 0.83(CSSM66) with a mean of 0.7256±0.014 respectively, signifying them to be highly informative. Low overall probability of identity (PI) of 0.0943 ± 0.008 and high overall probability of exclusion (PE) of 0.9619±0.02 with the increasing locus combinations were observed. The probability of exclusion was cent per cent (PE=1.0000) when a combination of 8 markers were used with one known parent and a combination of 12 markers when excluding a putative pair, suggesting the efficacy and suitability of the markers used in the study for parentage testing on Jersey crossbreds of Tamil Nadu.
Analysis of slow transitions between nonequilibrium steady states

Transitions between nonequilibrium steady states obey a generalized Clausius inequality, which becomes an equality in the quasistatic limit. For slow but finite transitions, we show that the behavior of the system is described by a response matrix whose elements are given by a far-from-equilibrium Green–Kubo formula, involving the decay of correlations evaluated in the nonequilibrium steady state. This result leads to a fluctuation-dissipation relation between the mean and variance of the nonadiabatic entropy production, Δsna. Furthermore, our results extend—to nonequilibrium steady states—the thermodynamic metric structure introduced by Sivak and Crooks for analyzing minimal-dissipation protocols for transitions between equilibrium states.
Experimental comparison between ST-quartz 25/spl deg/ and 300/spl deg/ NSPUDT orientations

The work described reports on experimental directivity comparison between the ST-quartz 300° natural single phase unidirectional transducer (NSPUDT) orientation [Euler angles: 0° 132.75° 300°] and the ST-quartz 25° NSPUDT orientation [Euler angles: 0° 132.75° 25°]. The 25° NSPUDT orientation is a well-known quartz surface acoustic wave orientation, used for low loss, high performance SAW filter designs for consumer products and communications application. Using a search method for finding NSPUDT orientations, devised by one of the authors (MPdC) in a previous publication, ST-quartz 300° was predicted to have a reflection coefficient 2.5 times larger than the ST 25° orientation. In addition the 300 degree orientation satisfied the NSPUDT reflection coefficient 90° phase condition much more closely, resulting in an improved directivity response, and better NSPUDT performance. For the delay line structures used in the experiments, the measured directivity is 10.1 dB for the 300° orientation. For the same structures, the measured directivity along the 25° orientation is around 5.0 dB. The experimental results given in this paper verify that indeed ST-quartz 300° has a higher directivity than the 25° orientation, confirming the theoretical directivity predictions.
Adaptive global optimization with local search

This dissertation examines the performance of genetic algorithm (GA) hybrids that use local search to solve global optimization problems. GAs are a class of adaptive global sampling methods that take many cues from mechanisms observed in natural evolution. GAs maintain a population of solutions that are used to generate new solutions in the search space. GA hybrids using local search (GA-LS hybrids) are motivated by the apparent need to employ both a global and local search strategy to provide an effective global optimization method. Previous experimental results have found that GA-LS hybrids not only find better solutions than the GA, but also optimize more efficiently. To improve the efficiency of GA-LS hybrids, I propose and experimentally validate methods that selectively apply local search to solutions in the GA's population. First, local search is randomly applied with a fixed frequency. Experiments with this method illustrate a trade-off between the refinement performed by local search and the reliability of the competitive search performed by the GA. Next, I describe two classes of adaptive methods. Distribution-based adaptive methods use redundancy in the population to avoid performing unnecessary local searches. Fitness-based adaptive methods use the fitness information in the population to bias the local search towards individuals that have better fitness. An experimental analysis indicates that these adaptive methods can significantly improve the efficiency of GA-LS hybrids. This dissertation explores implications of these results for parallel GAs. In particular, a MIMD design for geographically structured genetic algorithms (GSGAs) is described. GSGAs were initially developed for SIMD architectures, where it is difficult to selectively apply local search. An analytic and experimental analysis of MIMD GSGAs demonstrates that they scale well for large problems. GA-LS hybrids are used to solve global optimization problems in several application domains. First, GA-LS hybrids are used to find the weights of a neural network to solve the six-bit symmetry problem. Next, they are used to solve a simple 19 atom molecular conformation problem. Finally, they are applied to a drug docking problem. When compared to simulated annealing, GA-LS hybrids not only find better solutions and optimize more efficiently.
The Effect of Corporate Site Visits on Senior Executive Forced Turnover

ABSTRACT Using 2012–2019 Chinese stock market data, this study examined the impact of corporate site visits (CSVs) on senior executive forced turnover. We found that the number of CSVs is negatively associated with the probability of senior executive forced turnover. For more investor participants and more questions asked during CSVs, senior executive forced turnovers are less likely to occur. Institutional investors have a more significant impact on senior executive forced turnover. This effect is dominated by the non-state-owned enterprises or companies with poor performance, high asset tangibility, and weak insider power. The results can guide policymakers who regulate investor relations and informal corporate governance.
No need for dark matter in galaxy clusters within Galileon theory

Modified gravity theories with a screening mechanism have acquired much interest recently in the quest for a viable alternative to General Relativity on cosmological scales, given their intrinsic property of being able to pass Solar System scale tests and, at the same time, to possibly drive universe acceleration on much larger scales. Here, we explore the possibility that the same screening mechanism, or its breaking at a certain astrophysical scale, might be responsible of those gravitational effects which, in the context of general relativity, are generally attributed to Dark Matter. We consider a recently proposed extension of covariant Galileon models in the so-called ``beyond Horndeski'' scenario, where a breaking of the Vainshtein mechanism is possible and, thus, some peculiar observational signatures should be detectable and make it distinguishable from general relativity. We apply this model to a sample of clusters of galaxies observed under the CLASH survey, using both new data from gravitational lensing events and archival data from X-ray intra-cluster hot gas observations. In particular, we use the latter to model the gas density, and then use it as the only ingredient in the matter clusters' budget to calculate the expected lensing convergence map. Results show that, in the context of this extended Galileon, the assumption of having only gas and no Dark Matter at all in the clusters is able to match observations. We also obtain narrow and very interesting bounds on the parameters which characterize this model. In particular, we find that, at least for one of them, the general relativity limit is excluded at 2σ confidence level, thus making this model clearly statistically different and competitive with respect to general relativity.