Miracle-dz/UniFAR-FTUs huggingface dataset:
Flavoured ( g − 2 ) μ with Dark Lepton Seasoning

As a joint explanation for the dark matter (DM) problem and the muon (g − 2) anomaly, we propose a simplified model of lepton-flavoured complex scalar DM with couplings to both the leftand right-handed leptons of the Standard Model (SM). Both interactions are governed by the same new flavour-violating coupling matrix λ, however we allow for a relative scaling of the coupling strength. The SM is further extended by two fermion representations, transforming as an SU(2)L doublet and singlet, respectively, and mediating these interactions. The fermions additionally couple to the SM Higgs doublet via a new Yukawa coupling. To study the model’s phenomenology we first investigate constraints from collider searches, flavour experiments, precision tests of the SM, the DM relic density, and direct as well as indirect detection experiments individually. We then perform a combined analysis by demanding that all mentioned constraints are satisfied simultaneously. We use the results of this combined analysis and examine if the model is capable of accommodating the (g − 2)μ anomaly within its viable parameter space without introducing fine-tuned lepton masses. For all benchmark scenarios we consider, we find that the central value of ∆a μ can be reached without generating too large corrections to the lepton masses. We hence conclude that this model qualifies as a viable and attractive lepton-flavoured DM model that at the same-time solves the (g − 2)μ anomaly. ar X iv :2 21 2. 08 14 2v 1 [ he pph ] 1 5 D ec 2 02 2
Improved SCF convergence acceleration

An improved version of the direct inversion in the iterative subspace algorithm is developed. The method is significantly more efficient than the previous version, and is applicable to intrinsically divergent or slowly convergent cases. Comparisons indicate that the method is superior to the recently proposed quadratically convergent (QC–SCF) method of Bacskay.
Image-based Seat Belt Fastness Detection using Deep Learning

The detection of seat belts is an essential aspect of vehicle safety. It is crucial in providing protection in the event of an accident. Seat belt detection devices are installed into many automobiles, although they may be easily manipulated or disregarded. As a result, the existing approaches and algorithms for seat belt detection are insufficient. Using various external methods and algorithms, it is required to determine if the seat belt is fastened or not. This paper proposes an approach to identify seat belt fastness using the concepts of image processing and deep learning. Our proposed approach can be deployed in any organizational setup to aid the concerned authorities in identifying whether or not the drivers of the vehicles passing through the entrance have buckled their seat belts up. If a seat belt is not detected in a vehicle, the number plate recognition module records the vehicle number. The concerned authorities might use this record to take further necessary actions. This way, the organization authorities can keep track of all the vehicles entering the premises and ensure that all drivers/shotgun seat passengers are wearing seat belts.
Bulletin of Electrical Engineering and Informatics

Received Jul 28, 2022 Revised Aug 18, 2022 Accepted Nov 9, 2022 Forgery with the digital images is being very easy now days due to the very advanced and open source image editing tools, software and devises which supports a high quality of resolutions. Tempering with digital documents for changing identity or sometimes for fun is increasing day by day as the era is of digital world. Detecting clues of tampering and verifying the authenticity of images is an important issues now-a-days and growing research field. The existing research in the area of digital image forgery identification is discussed here. Different types of image forgery attacks along with its detection and classification are discussed too. A general review of facial image authentication is studied and discussed here along with the current methods and techniques for the detection and classification. A comparative analysis is presented here for the researchers as a mind mapping to work in the same field.
Galactic center molecular clouds. II. Distribution and kinematics

The distribution and kinematics of the molecular gas near the Galactic center is discussed based on uniformly sampled molecular mapping data presented in a previous paper. It is found that the molecular gas in the inner 900 pc of the Galaxy is asymmetric in both space and velocity. Some of the gas lies out of the Galactic plane and must move in inclined orbits, but the bulk of the gas is in a thin layer in the Galactic plane. The gas near the Galactic center is highly turbulent. Internal velocity dispersions range from 15 to 50 km/s FWHM, a factor of 3-10 times higher than molecular clouds in the disk. Strong deviations from circular motion and the morphology of isolated features such as the l = 3 deg clouds suggest that much of the gas moves in elongated orbits. A new model is proposed for explaining the origin and energy source for the continuum and line-emitting radio filaments found near the Galactic center. 39 references.
A Peculiar Intermediate-Velocity Hydrogen Cloud near the Galactic Plane

An H I cloud with a double-lobed structure and a radial velocity of +50 km s-1 has been found near l = 92°, b = -4° in a low-resolution H I survey carried out at the Dominion Radio Astrophysical Observatory (DRAO). This velocity is forbidden for circular Galactic rotation. Because of its unusual morphology and small variation in radial velocity over the cloud, further observations of the area were made with the DRAO Synthesis Telescope, both in the H I line and in the radio continuum. The cloud has dimensions of about 3. °3 × 0. °5, and has a morphology somewhat similar to high-velocity H I clouds (HVCs). Several possible associations with other objects are examined in this paper. A variable inverted-spectrum radio continuum source exists near the morphological center of the H I cloud. It is probably a rare example of a gigahertz peaked spectrum (GPS) extragalactic source having a peak above 5 GHz. A luminous B star is found close to the peculiar H I cloud, and the cloud is also located near the center of an H I supershell, supposedly located at a distance of about 9 kpc. Energetic and other considerations lead to the conclusion that the cloud is probably not related to the HVC phenomenon nor to any of the above objects but is a relic of a nearby (D ∼ 1 kpc) supernova event, all other evidence of which has now dissipated. Maps of continuum radio emission (at 1420 and 408 MHz) in the area around the cloud are presented, as well as lists of continuum radio sources. A few isolated high-velocity knots of H I emission have also been detected in the vicinity of the cloud.
Intermediate Models of Planetary Circulations in the Atmosphere and Ocean

Abstract Large-scale extratropical motions (with dimensions comparable to, or somewhat smaller than, the planetary radius) in the atmosphere and ocean exhibit a more restricted range of phenomena than are admissible in the primitive equations for fluid motions, and there have been many previous proposals for simpler, more phenomenologically limited models of these motions. The oldest and most successful of these is the quasi-geostrophic model. An extensive discussion is made of models intermediate between the quasi-geostrophic and primitive ones, some of which have been previously proposed [e.g., the balance equations (BE), where tendencies in the equation for the divergent component of velocity are neglected, or the geostrophic momentum approximation (GM), where ageostrophic accelerations are neglected relative to geostrophic ones] and some of which are derived here. Virtues of these models are assessed in the dual measure of nearly geostrophic momentum balance (i.e., small Rossby number) and approximate.
Internalization in Islamic Law Progressive In Criminal Law Changes in Indonesia

Indonesia is a state of law related to the disparity in the decisions of different judges in deciding a case, especially in criminal decisions. A more in-depth study is needed, especially in the case of rape, where in rape cases in Indonesia, several judges have sentenced them to death. This study aims to uncover and explore the Internalization of Progressive Islamic Law (Mashlahat) in Amending Criminal Law in the Death Penalty by Judges Against Defendants in Rape Cases in Indonesia. Progressive Islamic Law promoting peace (Mashlahat) can realize legal protection and peace for the people of Indonesia. The approach in this study uses an empirical juridical approach. This research is also normative-legal, qualitative, and uses descriptive methods through literature studies. This research is sourced from various books, international journals, and national journals. The results of the study concluded that 1) Progressive Islamic Law Internalization in Indonesia in changing criminal law can be carried out by changing the law, which can be done through peace (maslahat) by prioritizing Islamic values rahmatan lil 'alamin in developing and incorporating Islamic legal values into the national legal system in Indonesia; 2) the occurrence of changes to criminal law in Indonesia which was decided by this Judge (Criminal Disparity), among others: a) the judge sentenced to life imprisonment; b) the death penalty; c) 12 years in prison; d) Castration punishment; e) 4 years imprisonment; 3) Internalization of Progressive Islamic Law towards changes in criminal law in Indonesia, when a court judge wants to decide his case, for example in a rape case, a decision can be made through the Mashlahat (peace) concept without having to decide the case with a life sentence or up to the death penalty, especially for perpetrators of rape.
A Qualitative Study on Psychological Well-being of Members of a University Student Organization during the Covid-19 Pandemic ( Studi Kualitatif Gambaran Kesejahteraan Psikologis Anggota Organisasi Mahasiswa pada Masa Pandemi Covid-19 )

The Covid-19 pandemic has some repercussions for the psychological well-being of students, such as anxiety, stress, and depression. However, few studies have been conducted about this among members of university student organizations. As activities of student organization had been halted during the pandemic, the well-being of the members could be affected. This study aimed to provide an overview of the psychological well-be ing of members of a university student organization “X” in Yogyakarta during the Covid-19 pandemic. Using an instrumental case study design with theory-driven thematic analysis, three participants were recruited through a purposive sampling. The results revealed that partcipants had positive pictures of some aspects on their psychological well-being and saw other aspects in a more negative light. Specifically, positive appraisals were reported in terms of four aspects: self-acceptance, positive relation with others, authonomy, and self-development. Meanwhile, two other aspects were reported as suboptimal: lack of purpose in life and environmental mastery. This might be due to a lack in goal-setting skills which in turn affect participants’ time management and priority setting between organizational activities, academic pursuit, and personal life.
Water maser emission from X-ray-heated circumnuclear gas in active galaxies

We have modeled the physical and chemical conditions present within dense circumnuclear gas that is irradiated by X-rays from an active galactic nucleus. Over a wide range of X-ray fluxes and gas pressures, the effects of X-ray heating give rise to a molecular layer at temperatures of 400-1000 K within which the water abundance is large. The physical conditions within this molecular layer naturally give rise to collisionally pumped maser emission in the 6(sub 16) - 5(sub 23) 22 GHz transition of ortho-water, with predicted maser luminosities of 10(exp 2 +/- 0.5) solar luminosity per sq. pc of illuminated area. Given plausible assumptions about the geometry of the source and about the degree to which the maser emission is anisotropic, such surface luminosities are sufficient to explain the large apparent luminosities observed in water maser sources that are associated with active galactic nuclei.
Persistent emission and bursts from Aquila X-1 observed by Einstein

A two-component model is applied to an X-ray outburst from Aql X-1 recorded by the Einstein Observatory in March-April 1979. The model treats such outbursts as a combination of a soft, multicolor component (accretion disk) and a hard-blackbody component (boundary layer emission). Evaluation of the light curves indicates that the bursts were caused by an increase in the accretion rate. The calculations also suggest that the system observed is inclined at a 33 deg angle. 37 references.
Uniform Confidence Bands for a Quadratic Model

In this paper uniform confidence bands are developed for a quadratic regression model. Tables are supplied to determine a uniform confidence band for the quadratic model in which it is assumed the sum of the cubed deviations of the independent variable about its mean is equal to zero. The uniform confidence band is then compared with the classical competitor, the Scheffit confidence band. A table summarizing the results of this comparison is presented. Finally, an example is examined.
Measurement of surface tension of molten copper using the free-fall oscillating drop method

The surface tension of molten copper was measured by the oscillating drop method using a falling droplet. The surface oscillation of the droplet was quite simplified during the falling, and consequently, the surface tension was calculated using Rayleigh's equation. The measurements were carried out in a wide temperature range including the undercooling state. The obtained surface tension of copper is expressed as follows:
Magneto-optic Kerr effect investigation of cobalt and permalloy nanoscale dot arrays: Shape effects on magnetization reversal

Using the magneto-optic Kerr effect (MOKE) and magnetic force microscopy we have investigated the shape dependence of magnetization reversal in a series of cobalt and permalloy nanoscale dot arrays. The patterns were produced by e-beam lithography combined with e-beam deposition and lift-off techniques. To avoid pattern to pattern variations in growth-induced anisotropy and or thickness, elliptical elements of varying aspect ratio were deposited simultaneously on a single substrate. All arrays were 1.0×2.5 μm tetragonal lattices and were fabricated with 300 A thickness of cobalt and with 200 and 300 A thickness of permalloy. From MOKE data we extract the field at which the onset of switching occurs for each array. For each material (viz. Co or permalloy), and thickness (200 or 300 A), the switching field versus aspect ratio can be interpreted by a single nucleation field. The dependence of the nucleation barrier on the material and its thickness is discussed.
Latent class analysis for measuring Turkish People's future expectations for Turkey

The aim of this study is to classify the Turkish People and measure the probability of their positive or negative expectations according to their 5-year expectations on Turkish Economy, Social Rights and Freedom, Rendering of the Public Services, Government Transparency and Turkey's Reputation. For this purpose latest data from the Turkish Statistical Institute's Life Satisfaction Survey 2011 was used and latent class analysis (LCA) was utilized on this data. For this study, unrestricted and restricted models of LCAs were performed, and it is observed that the three-class unrestricted model was found to be the best fit. Latent Class probabilities were interpreted and each class was named based on the calculated conditional probabilities.
Towards habitable Earths with EUCLID and WFIRST

Abstract The discovery of extrasolar planets is arguably the most exciting development in astrophysics during the past 15 years, rivalled only by the detection of dark energy. Two projects are now at the intersection of the two communities of exoplanet scientists and cosmologists: EUCLID, proposed as an ESA M-class mission; and WFIRST, the top-ranked large space mission for the next decade by the Astro 2010 Decadal Survey report. The missions are to have several important science programs: a dark energy survey using weak lensing, baryon acoustic oscillations, Type Ia supernova, a survey of exoplanetary architectures using microlensing, and different surveys. The WFIRST and EUCLID microlensing planet search programs will provide a statistical census of exoplanets with masses greater than the mass of Mars and orbital separations ranging from 0.5 AU outwards, including free-floating planets. This will include analogs of all Solar System planets except for Mercury, as well as most types of planets predicted by planet formation theories. In combination with Kepler's census of planets in shorter period orbits, EUCLID and WFIRST's planet search programs will provide a complete statistical census of the planets that populate our Galaxy. As of today, EUCLID is proposed to ESA as a M class mission (the result of the selection will be known in october 2011). We are presenting here preliminary results about the expected planet yields. WFIRST has just appointed a Science Definition Team.
Dropsonde Observations in Low-Level Jets over the Northeastern Pacific Ocean from CALJET-1998 and PACJET-2001: Mean Vertical-Profile and Atmospheric-River Characteristics

Abstract Dropsonde observations are used to document the mean vertical profiles of kinematic and thermodynamic conditions in the pre-cold-frontal low-level-jet (LLJ) region of extratropical cyclones over the eastern Pacific Ocean. This is the region within storms that is responsible not only for the majority of heavy rainfall induced by orography when such storms strike the coast, but also for almost all meridional water vapor transport at midlatitudes. The data were collected from NOAA’s P-3 aircraft in 10 storms during the California Land-falling Jets Experiment (CALJET) of 1998 and in 7 storms during the Pacific Land-falling Jets Experiment (PACJET) of 2001. The mean position of the dropsondes was 500 km offshore, well upstream of orographic influences. The availability of data from two winters that were characterized by very different synoptic regimes and by differing phases of ENSO—that is, El Nino in 1998 and La Nina in 2001—allowed examination of interannual variability. The composite pre-cold-fron.
Band structure, deformation potentials, and carrier mobility in strained Si, Ge, and SiGe alloys

Using nonlocal empirical pseudopotentials, we compute the band structure and shear deformation potentials of strained Si, Ge, and SiGe alloys. Fitting the theoretical results to experimental data on the phonon‐limited carrier mobilities in bulk Si and Ge, the dilatation deformation potential Ξd is found to be 1.1 eV for the Si Δ minima, −4.4 eV for the Ge L minima, corresponding to a value for the valence band dilatation deformation potential a of approximately 2 eV for both Si and Ge. The optical deformation potential d0 is found to be 41.45 and 41.75 eV for Si and Ge, respectively. Carrier mobilities in strained Si and Ge are then evaluated. The results show a large enhancement of the hole mobility for both tensile and compressive strain along the [001] direction, but only a modest enhancement (approximately 60%) of the electron mobility for tensile biaxial strain in Si. Finally, from a fit to carrier mobilities in relaxed SiGe alloys, the effective alloy scattering potential is determined to be about 0.
A COLOR-MAGNITUDE DIAGRAM FOR THE STRONG-LINE GLOBULAR CLUSTER NGC 6553.

A preliminary color-magnitude (CM) diagram is obtained for NGC 6553, one of the most strong-lined globular clusters known. The diagram shows features characteristic of other metalrich globular clusters. The position in the CM diagram of an RR Lyrae star spatially superimposed on the cluster suggests that it is a member. A tentative distance modulus for NGC 6553 of(m- M)0 = i 0.3 is derived. Key words: globular cluster - photometry
Statistical calibration of climate system properties

Summary. The behaviour of modern climate system simulators is controlled by numerous parameters. By matching model outputs with observed data we can perform inference on such parameters. This is a calibration problem that usually requires the ability to evaluate the computer code at any given configuration of the parameters. As the climate system simulator attempts to describe very complex physical phenomena, the task of running the model is very computationally demanding. Thus, a statistical model is required to approximate the model output. In this work, we use output from the Massachusetts Institute of Technology two‐dimensional climate model (MIT2DCM), historical records and output from a three‐dimensional climate model, to obtain estimates of the climate sensitivity, the effective thermal diffusivity in the deep ocean and the net aerosol forcing that control MIT2DCM. We use a Bayesian approach that allows for the use of scientifically based information on the climate parameters to be used in the calibration process. The model tackles the problem of dealing with multivariate computer model output and incorporates all estimation uncertainties into the posterior distributions of the climate parameters. Additionally we obtain estimates of the correlation structure of the unforced variability of temperature change patterns. These results are critical for understanding uncertainty in future climate change and provide an independent check that the information that is contained in recent climate change is robust to statistical treatment. These results include uncertainties in the estimation of the multivariate covariance matrices.
Role of interfacial uncompensated antiferromagnetic spins in unidirectional anisotropy in Ni81Fe19/CoO bilayers (invited)

The uncompensated spins on the surfaces of antiferromagnetic CoO films exhibit a thermoremanent magnetization after field cooling from T>TN that has the same temperature dependence as the exchange field of Ni81Fe19/CoO bilayers after field cooling. This suggests that these interfacial uncompensated spins are responsible for unidirectional anisotropy. A model based on a calculation of the density of these interfacial uncompensated spins predicts the correct magnitude of the exchange field, as well as the observed inverse dependence on average interfacial grain size.
Preventing Inferences through Data Dependencies on Sensitive Data

Simply restricting the computation to non-sensitive part of the data may lead to inferences on sensitive data through data dependencies. Inference control from data dependencies has been studied in the prior work. However, existing solutions either detect and deny queries which may lead to leakage -- resulting in poor utility, or only protects against exact reconstruction of the sensitive data -- resulting in poor security. In this paper, we present a novel security model called full deniability. Under this stronger security model, any information inferred about sensitive data from non-sensitive data is considered as a leakage. We describe algorithms for efficiently implementing full deniability on a given database instance with a set of data dependencies and sensitive cells. Using experiments on two different datasets, we demonstrate that our approach protects against realistic adversaries while hiding only minimal number of additional non-sensitive cells and scales well with database size and sensitive data.