Miracle-dz/UniFAR-FTUs huggingface dataset:
An energy‐efficient level shifter based on a differential cascade voltage switch structure

Based on differential cascade voltage switch architecture, this paper proposes a level shifter with optimized energy consumption, constructed by stacking diode‐connected NMOS and PMOS transistors and splitting input signals of the two output stages. Eventually, the overlap time of input signals of the two output stages has been reduced, during which there is a considerable short‐current from high voltage source to ground. When implemented in a 110 nm CMOS process, post‐layout netlist simulations show that the proposed level shifter exhibits a 2.31 ns switching delay and 819 fJ energy consumption when converting a 1.5 V input signal into 4.5 V with 10 MHz operational frequency and 15 fF output load.
UAV Assessment of Crop Evapo-transpiration Dynamics in Winter Wheat and Barley under Varying Pressures of Fungal Diseases

Early detection of the onset of disease in crops allows for more timely and more effective management. Often it is too late to treat diseases once the clinical symptoms are visible to the human eye. To this end, there is great potential to use sensors operating in the infra-red and thermal bands (outside our visible range) to detect diseases before they become visible. Vegetative indices based on near-infrared reflectance responses are often used for this. However, vigor is a delayed response to plant function. The rate of transpiration is a more immediate indicator of plant function and health. Estimations of daily ET rates from thermal satellite imagery have been shown in several studies. The general process-based physical surface energy balance (SEBS) method used was adapted and applied for the first time to Unmanned Aerial Vehicle (UAV) collected thermal and RGB imagery using off-the-shelf low cost camera. On-site COSMOS-UK weather station data were used for meteorological inputs. The ILWIS2 Surface Energy Balance System (SEBS) was used for the daily ET modeling. The daily wheat and barley ET measurements for early May and June 2015 were similar to values obtained from Landsat imagery over nearby cereal fields and closer to the Penman-Monteith calculations for the survey days. This indicates promising transformation from satellite to UAV imagery for estimating ET. Varied spatial patterns were visible in the imagery corresponding to environmental (soil), variety and treatment (fungicide) differences. Barley exhibited little disease pressure at any stage of the season. Disease pressure was not visible at mid-late season (early May) in wheat, but susceptible varieties had visible late season rust infections. ET was a better discriminator of non-visible infections in May than NDVI. Further, studies are required to further validate this proof of concept.
Finding a 24-day orbital period for the X-ray binary 1A 1118-616

We report the first determination of the binary period and the orbital ephemeris of the Be X-ray binary containing the pulsar IA 1118-616 (35 years after the discovery of the source). The orbital period is found to be P(sub orb) = 24.0+/-0.4 days. The source was observed by RXTE during its last big X-ray outburst in January 2009, peaking at MJD 54845.4. This outburst was sampled by taking short observations every few days, covering an elapsed time comparable to the orbital period. Using the phase connection technique, pulse arrival time delays could be measured and an orbital solution determined. The data are consistent with a circular orbit, the time of 90 degrees longitude was found to be T,/2 = MJD 54845.37(10), coincident with the peak X-ray flux.
Genetic Diversity Analysis In Kabuli Chickpea (Cicer Arietinum L.) Genotypes Based On Quantitative Traits And Molecular Markers

Chickpea (Cicer arietinum L.) provides high quality protein for human and animal consumption as well as offers economic benefits to farmers because of the high market value for its grains. Fifty indigenous and exotic kabuli chickpea lines varying in seed yield and plant type were subjected to 20 SSR markers analysis for assessment of genetic diversity. Among twenty SSR primers, eleven of them were able to produce polymorphic bands. Quantitative traits based clustering pattern was found to be similar to molecular clustering for most of the kabuli genotypes such as JGK 1, JGK 2, JGK 3, JGK 32-1 and some of the ICRISAT (ICCVs) and ICARDA (FLIPs) lines. This indicated the association of used molecular markers with targeted quantitative traits in the present study. Bangladesh J. Bot. 51(3): 581-587, 2022 (September)
H I Shells in the Large Magellanic Cloud

A recent high-resolution H I survey of the Large Magellanic Cloud (LMC) shows that the structure of the neutral atomic interstellar gas is dominated by numerous shells and holes, as well as complex filamentary and spiral-type structure. We present an up-to-date catalog of candidate H I supergiant and giant shells in the LMC. The candidates are visually selected from the H I data cube using selection and classification criteria that are described. Twenty-three supergiant shells, defined as those regions whose extent is much larger than the H I scale height, are cataloged; 103 giant shells (radii less than the scale height of the H I gas) are cataloged. We further classify the H I shells into five different types, based on the comparison of the H I with their associated Hα emission. For this purpose, we obtained new wide-field Hα images of the LMC with a CCD camera mounted on a 16 inch (0.41 m) telescope at Siding Spring Observatory. The pixel size of 20″ and the field of view of 12° are well matched to the H I survey. The size distribution of H I shells follows a crude power law, N(log R) ∝ R-1.5. For constant energy input to the H I shells and a constant shell creation rate, a shell luminosity spectrum of the form ϕ(L) ∝ L-β, where β = 1.75 ± 0.2, is obtained. This agrees well with the observed H II region luminosity spectrum for the LMC of Kennicut, Edgar, & Hodge, which has β = 1.75 ± 0.15. H I shells containing H II regions and OB associations seem to expand more rapidly than those without, providing direct evidence for substantial input of mechanical energy from regions of star formation.
Radiation pressure and photon momentum in negative-index media

Radiation pressure and photon momentum in negative-index media are no different than their counterparts in ordinary (positive-index) materials. This is because the parameters responsible for these properties are the admittance √ε /μ and the group refractive index ng of the material (both positive entities), and not the phase refractive index n =√με , which is negative in negative-index media. One approach to investigating the exchange of momentum between electromagnetic waves and material media is via the Doppler shift phenomenon. In this paper we use the Doppler shift to arrive at an expression for the radiation pressure on a mirror submerged in a negative-index medium. In preparation for the analysis, we investigate the phenomenon of Doppler shift in various settings, and show the conditions under which a so-called “inverse” Doppler shift could occur. We also argue that a recent observation of the inverse Doppler shift upon reflection from a negative-index medium cannot be correct, because it violates the conservation laws.
Probing the interstellar medium of NGC 1569 with Herschel

NGC1569 has some of the most vigorous star formation among nearby galaxies. It hosts two super star clusters (SSCs) and has a higher star formation rate (SFR) per unit area than other starburst dwarf galaxies. Extended emission beyond the galaxy's optical body is observed in warm and hot ionised and atomic hydrogen gas; a cavity surrounds the SSCs. We aim to understand the impact of the massive star formation on the surrounding interstellar medium in NGC1569 through a study of its stellar and dust properties. We use Herschel and ancillary multiwavelength observations, from the ultraviolet to the submillimeter regime, to construct its spectral energy distribution, which we model with magphys on ~300pc scales at the SPIRE250 {\mu}m resolution. The multiwavelength morphology shows low levels of dust emission in the cavity, and a concentration of several dust knots in its periphery. The extended emission seen in the ionised and neutral hydrogen observations is also present in the far-infrared emission. The dust mass is higher in the periphery of the cavity, driven by ongoing star formation and dust emission knots. The SFR is highest in the central region, while the specific SFR is more sensitive to the ongoing star formation. The region encompassing the cavity and SSCs contains only 12 per cent of the dust mass of the central starburst, in accord with other tracers of the interstellar medium. The gas-to-dust mass ratio is lower in the cavity and fluctuates to higher values in its periphery.
STUDENTS' PERCEPTION IN USING ZOOM APPLICATION DURING ONLINE LEARNING IN FKIP AT TRIDINANTI UNIVERSITY PALEMBANG

: The widespread use of the internet brings impact to education and provides the solution for many educational institutions to conduct online learning during Covid-19 pandemic. This study aimed to determine students’ perception in using Zoom application during online learning in Faculty of Teacher Training and Education at Tridinanti University Palembang. Descriptive quantitative survey method was carried out. This study involved 104 students who experienced online learning by using Zoom Application. For collecting the data, questionnaire was used and distributed online to the students. Most students perceived positively toward the use of Zoom application during online learning. The results of this study showed that: (1) Using Zoom application during online learning gave students new learning experience and benefits, (2) Zoom application offers some features that can be easily operated by the users, (3) Zoom application became online learning platform preference, (4) Using Zoom application could improve students ICT skill, (5) The use of Zoom application during online learning would be continuously used by students, and (6) Students did not find serious problem to participate in online learning using Zoom application. In brief, Zoom Application is an effective educational technology tool for online learning.
On timelike and spacelike hard exclusive reactions

We show to next-to-leading order accuracy in the strong coupling alpha_s how the collinear factorization properties of QCD in the generalized Bjorken regime relate exclusive amplitudes for spacelike and timelike hadronic processes. This yields simple space--to--timelike relations linking the amplitudes for electroproduction of a photon or meson to those for photo- or meso-production of a lepton pair. These relations constitute a new test of the relevance of leading twist analyzes of experimental data.
Searches for Particle Dark Matter: An Introduction

The identity of dark matter is one of the key outstanding problems in both particle and astrophysics. In this thesis, I describe a number of complementary searches for particle dark matter. I discuss how the impact of dark matter on stars can constrain its interaction with nuclei, focussing on main sequence stars close to the Galactic Centre, and on the first stars as seen through the upcoming James Webb Space Telescope. The mass and annihilation cross-section of dark matter particles can be probed with searches for gamma rays produced in astronomical targets. Dwarf galaxies and ultracompact, primordially-produced dark matter minihalos turn out to be especially promising in this respect. I illustrate how the results of these searches can be combined with constraints from accelerators and cosmology to produce a single global fit to all available data. Global fits in supersymmetry turn out to be quite technically demanding, even with the simplest predictive models and the addition of complementary data from a bevy of astronomical and terrestrial experiments; I show how genetic algorithms can help in overcoming these challenges.
Wild Horse Optimizer-Based Spiral Updating for Feature Selection

Feature selection (FS) is a vital and challenging process in several domains, including data mining, data clustering, text mining, education, biology, medicine, public health, machine learning, image processing, and so on. The greedy and comprehensive algorithm methods cannot identify the best subset amid the rising number of features. Thus, swarm-based algorithms are becoming more popular for identifying the best group of features. This study relies on the spiral-updated position of the Whale Optimization Algorithm (WOA) to propose an improved version of the Wild Horse Optimizer (WHO). This improvement enhances the WHO’s ability to update solutions and explore various possibilities in the search domain. The proposed method (WHOW) was assessed using two experiments to confirm the efficacy of the improved optimizer. The first experiment was global optimization using CEC 2019 benchmark functions, whereas the second was an FS by testing 20 benchmark datasets. The results obtained using the proposed WHOW method were compared to some popular algorithms over the benchmark datasets of global optimization and FS. The experimental results reflect the superiority of WHOW in the solutions to different optimization problems and its ability to select prominent features over most benchmark datasets. These results are due to the implementation of bubble nets in the WHO using spiral movement, which promotes flexibility and performance.
Scalar field dark matter in clusters of galaxies

One alternative to the cold dark matter (CDM) paradigm is the scalar field dark matter (SFDM) model, which assumes dark matter is a spin-0 ultra-light scalar field (SF) with a typical mass $m\sim10^{-22}\mathrm{eV}/c^2$ and positive self-interactions. Due to the ultra-light boson mass, the SFDM could form Bose-Einstein condensates (BEC) in the very early Universe, which are interpreted as the dark matter haloes. Although cosmologically the model behaves as CDM, they differ at small scales: SFDM naturally predicts fewer satellite haloes, cores in dwarf galaxies and the formation of massive galaxies at high redshifts. The ground state (or BEC) solution at zero temperature suffices to describe low-mass galaxies but fails for larger systems. A possible solution is adding finite-temperature corrections to the SF potential which allows combinations of excited states. In this work, we test the finite-temperature multistate SFDM solution at galaxy cluster scales and compare our results with the Navarro-Frenk-White (NFW) and BEC profiles. We achieve this by fitting the mass distribution of 13 \textit{Chandra} X-ray clusters of galaxies, excluding the region of the brightest cluster galaxy. We show that the SFDM model accurately describes the clusters' DM mass distributions offering an equivalent or better agreement than the NFW profile. The complete disagreement of the BEC model with the data is also shown. We conclude that the theoretically motivated multistate SFDM profile is an interesting alternative to empirical profiles and ad hoc fitting-functions that attempt to couple the asymptotic NFW decline with the inner core in SFDM.
THERMAL COMFORT OF UGLJEVIK TOWN FOR THE YEAR 2021 OBSERVED THROUGH THE BIOCLIMATIC INDEX WBGT

This paper researches thermal comfort of the town of Ugljevik in Bosnia and Herzegovina for the year 2021, by analyzing bioclimatic index Wet bulb globe temperature (WBGT). The analysis is a continuation of the research on the bioclimatic conditions of the area of Semberija plain and Majevica mountain, which has so far covered only the city of Bijeljina, as the most urbanized area of the researched space. All five categories of the WBGT index are present during a year, with different number of days for each category. For thermal comfort the most important factors should be observed during summer months of the year, June, July and August, due to the highest number of days in categories with values over 28, that are dangerous for human organism and outdoor activities. The accent in this research was put on the number of categories that are present during one month, but also during just one day, by using mean, maximum and minimal temperatures for calculations. This type of research allows us to see how many different categories one day has.
Probing bulk viscous matter-dominated models with Gamma-ray bursts

In this paper we extend the range of consistency of a constant bulk viscosity model to redshifts up to $z\sim 8.1$. In this model the dark sector of the cosmic substratum is a viscous fluid with pressure $p= -\zeta \theta$, where $\theta$ is the fluid-expansion scalar and $\zeta$ is the coefficient of bulk viscosity. Using the sample of 59 high-redshift GRBs reported by Wei (2010), we calibrate GRBs at low redshifts with the Union 2 sample of SNe Ia, avoiding then the circularity problem. Testing the constant bulk viscosity model with GRBs we found the best fit for the viscosity parameter $\tilde{\zeta}$ in the range $0<\tilde{\zeta}<3$, being so consistent with previous probes; we also determined the deceleration parameter $q_0$ and the redshift of transition to accelerated expansion. Besides we present an updated analysis of the model with CMB5-year data and CMB7-year data, as well as with the baryon acoustic peak BAO. From the statistics with CMB it turns out that the model does not describe in a feasible way the far far epoch of recombination of the universe, but is in very good concordance for epochs as far as $z\sim 8.1$ till present.
Deep Learning Based Radar Target Classification Using Micro-Doppler Features

Demand for radar automatic target recognition is ever increasing owing to the extensive employment of radar sensors in urban scenarios and a drastic increase in the number of radar targets, especially drones and UAVs. Micro-Doppler signatures, resulting from the micro-motion dynamics of targets, have emerged as a key distinctive feature for radar automatic target recognition. This paper addresses the problem of radar target recognition based on deep learning and micro-Doppler signatures of targets. The choice of MobileNetV2 deep Convolutional Neural Network based classification on spectrogram images of the targets, has made the system more suitable for system implementation on embedded devices such as Raspberry Pi. Second important contribution of this paper is the augmentation of an extensive and diverse training dataset having five classes ultimately, for the testing of radar automatic target recognition, since few such datasets are available in the open literature. The dataset is developed using a W-band Frequency Modulated Continuous Wave radar. After training the model on the diverse training dataset, validation and test accuracies of 98.67% and 99% respectively, are achieved.
Evidence for a bound on the lifetime of de Sitter space

Recent work has suggested a surprising new upper bound on the lifetime of de Sitter vacua in string theory. The bound is parametrically longer than the Hubble time but parametrically shorter than the recurrence time. We investigate whether the bound is satisfied in a particular class of de Sitter solutions, the KKLT vacua. Despite the freedom to make the supersymmetry breaking scale exponentially small, which naively would lead to extremely stable vacua, we find that the lifetime is always less than about exp(1022) Hubble times, in agreement with the proposed bound. This result, however, is contingent on several estimates and assumptions; in particular, we rely on a conjectural upper bound on the Euler number of the Calabi-Yau fourfolds used in KKLT compactifications.
Electromagnetic moments of quasistable particle

We deal with the problem of assigning electromagnetic moments to a quasi-stable particle (i.e., a particle with mass located at particle's decay threshold). In this case, an application of a small external electromagnetic field changes the energy in a non-analytic way, which makes it difficult to assign definitive moments. On the example of a spin-1/2 field with mass Minteracting with two fields of masses M and m, we show how a conventionally defined magnetic dipole moment diverges at M� = M +m. We then show that the conventional definition makes sense only when the values of the applied magnetic field B satisfy jeBj/2M� � j M� −M −mj. We discuss implications of these results to existing studies in electroweak theory, chiral effective-field theory, and lattice QCD. Electromagnetic (e.m.) moments of a particle are de- termined through observations of the particle's behavior in an applied electromagnetic field. For example, the magnetic moment is measured by observing the spin pre- cession in a magnetic field. In doing so, one assumes that the uniform magnetic field ~ B induces a linear response in the energy: �E = −~ � ~
SURVEY COMMUNITY SATIFACTION INDEX DALAM PELAKSANAAN PROGRAM CSR PT ANTAM Tbk

PT ANTAM Tbk as one of the mineral mining companies in Indonesia that is committed to implementing GCG has carried out its business operations that are oriented towards sustainable development. The existence of a CSR program is an important thing that is always optimized and improved in quality. Therefore, in the implementation of the CSR program, PT ANTAM Tbk continues to make efforts to minimize program failures by evaluating the implementation of the CSR program. In this study, the concept used is the result of an analysis of several sources, namely from the Ministry of Environment and Forestry (KLHK in the KLHK Proper Green Guidebook (2013) explains that the CSI assessment consists of several aspects that are measured, including business indicators, effectiveness, efficiency, and quality.The effectiveness of community development programs is also taken from Sari (2019) sources to complete the indicators needed according to the conditions in the field. In the results, the CSI value of PT ANTAM UBPN Sultra is very good, with a value of 89.56, this value is obtained because the average program recipient is satisfied with the program carried out by PT ANTAM UBPN Sultra's CSR. The programs are implemented in accordance with the needs of the community and the performance of the program is also good. Although the value of community satisfaction is high, the program still needs to make improvements.
Generalized parton distributions in AdS/QCD

The nucleon helicity-independent generalized parton distributions of quarks are calculated in the zero skewness case, in the framework of the anti-de Sitter/QCD model. The present approach is based on a matching procedure of sum rules relating the electromagnetic form factors to generalized parton distributions and anti-de Sitter modes.
Realization of simulation droplet deformation in shear flow based on DCU acceleration device

In different flow fields, the description and tracking of droplets in computer has high time complexity. In order to improve the efficiency of droplet simulation and calculation, on the domestic DCU acceleration device, the immersed boundary methods is used to realize the simulation of droplet deformation under shear flow. After finite difference of the hot spot pressure Poisson equation, the Jacobian implicit iterative method is used for parallel improvement, divide a larger computing task into multiple independent computing modules, and make reasonable use of the local data share to reduce the number of global memory accesses. The results show that compared to the CPU serial implementation, The heterogeneous droplet deformation simulation achieved the highest speedup ratio of 2.34 under the premise of ensuring accuracy.