Miracle-dz/UniFAR-FTUs huggingface dataset:
An analysis of the TZ Fornacis binary system

Context. TZ Fornacis (TZ For) is an evolved detached binary system that is difficult to model and interpret, but very useful for testing stellar evolution theory and physics. Aims. We aim to search for solutions that are self-consistent and to determine the necessary stellar physics input. We also check solutions found previously for their internal consistency and for reproducibility. Methods. We use both a single and a binary stellar evolution code, and take into account all known system properties. We determine the physical stellar parameters by imposing that the models match the known radii for identical stellar ages. The evolution has to be consistent with a binary system in classical Roche geometry. Results. We obtained two different solutions to model TZ For successfully. Both depend on avoiding a long evolution on the first giant branch and imply a sufficiently large convective core on the main sequence. TZ For can be modelled consistently as a detached binary system by invoking either a substantial amount of core overshooting or a tidally enhanced wind mass loss along the red giant branch. An evolution with Roche-lobe overflow can definitely be excluded. Conclusions. A comparison of our results with previous studies also reveals that in addition to uncertainties associated with the input physics, the modelling of overshooting by different algorithms can have a strong impact.
Radiation Resistant Single-Mode Fiber With Different Coatings for Sensing in High Dose Environments

A radiation resistant single-mode optical fiber has been specifically developed for distributed sensing in harsh environments associated with MGy(SiO2) dose radiation. Different types of coating have been used: acrylate, polyimide, and aluminum that allow extending the range of accessible temperatures up to 400 °C. Various characterizations were performed: radiation inducted attenuation (offline and online), fiber mechanical strength, and coating thermal degradation postirradiation. Safe operation is demonstrated for almost all coating types up to the MGy(SiO2) range of cumulated dose.
Optimal Trajectory Planning for Mitigated Motion Sickness: Simulator Study Assessment

In the transition from partial to high automation, occupants will no longer be actively involved in driving. This will allow the use of travel time for work or leisure, where high comfort levels preventing motion sickness are required. In this paper, an optimal trajectory planning algorithm is presented in order to minimise motion sickness in automated vehicles. A predefined path is provided as an input to the algorithm, to generate an optimal path with limited lateral deviation and the corresponding optimal velocity profile, for the minimisation of motion sickness. An optimal control problem is formulated with a cost function combining both motion sickness and travel time. For a sickening curvy road, the algorithm reduced the motion sickness dose value (MSDV) up to 52% depending on the allowed lateral deviation and the weighting on travel time. The efficacy of the proposed algorithm has been evaluated via human-in-the-loop experiments using a moving-base driving simulator. Motion cueing parameters were selected to optimally transmit the sickening stimuli resulting in close to full vibration transmission above 0.2 Hz. During the experiment, the participants were asked to rate their experience based on the standard MIsery SCore ratings. According to these, sickness levels were reduced on average by 65% with reduced motion sickness in all 16 participants.
Credit card account numbers detection and extraction from camera-based images

Credit card account number detection and extraction from camera-based images is of vital importance in automatically inputting system of mobile devices. In this paper, we propose a novel framework to detect and extract credit card account number from camera-based images. Firstly radon transformation is used to detect and correct the degree of skew of the credit card, Secondly a morphological binary map is generated by calculating difference between the closing image and the opening image. Then horizontal projection and k-means are applied to get the card-number lines. Candidate regions are connected by using a morphological dilation operation. Last text lines are refined using a sliding window and an SVM classifier trained on two local texture distribution features: HOG and an improved local region binary pattern (LRBP). Experiences show the proposed method is robust to different contrast and complex environment.
Effects of the synthesis temperature on the crystalline structure and the magnetic properties of cobalt ferrite nanoparticles prepared via coprecipitation

The effects of the synthesis temperature on the crystalline structure and the magnetic properties of cobalt ferrite (CoFe2O4) nanoparticles prepared via coprecipitation are discussed. The synthesis was conducted at temperatures of 75 °C, 85 °C and 95 °C. Fourier transform infrared spectroscopy characterization related to a stretching vibration at a wavenumber of 590 cm−1 indicated the formation of a CoFe2O4 metal oxide. In addition, powder X ray diffraction (XRD) characterization proved that the metal oxide was CoFe2O4. Crystallite sizes calculated using the Scherer formula at the strongest peak of the XRD spectra of the samples synthesized at 75 °C, 85 °C and 95 °C were 32 nm, 43 nm and 50.4 nm, respectively. Finally, the results of the vibrating sample magnetometer characterization showed that the saturation magnetization decreased with increasing synthesis temperature, which is related to the dominant preference of Co2+ over Fe3+ cations at the octahedral sites.
Foraging Duration and Intensity of Apis mellifera L.

An experiment was conducted in the apiary of Uttar Banga Krishi Viswavidyalaya, Pundibari during 2019. For study, six strong Apis mellifera L. colonies of similar strength were used. A positive and significant correlation of temperature (maximum and minimum) and relative humidity (minimum) with the foraging duration was found. During the cooler months both foraging duration and foraging intensity was minimum and increased later on. Foraging activity was highly affected by rainfall. The mean foraging duration of foragers throughout the year was 11.85± 1.79 hrs/ day. The 25 th standard week was recorded with maximum foraging duration, viz. 14.22 hrs. Foraging intensity was low during initial hours but increased in later hours. Foraging intensity was very less in initial weeks and very high in 10 th to 25 th standard weeks at all the three intervals.
Symmetric Games and Symmetry Groups

In this paper, we distinguish three types of symmetric games, namely, ordinary symmetric games, renaming symmetric games and name-irrelevant symmetric games, in an order of increasing broadness. Making these distinctions is meaningful even for some elementary two by two games, e.g., Battle of Sexes is renaming symmetric but not ordinary symmetric, and Matching Pennies is name-irrelevant symmetric but not renaming symmetric. In addition, some nice properties are preserved when ordinary symmetric games are extended to renaming symmetric games, e.g., when each player has two strategies, they are both exact potential games and thus pure Nash equilibria are guaranteed, which is not the case for the most general name-irrelevant symmetric games. We investigate these classes of games via the corresponding player symmetry groups, which have very rich mathematical structures. Building on the coveringness idea of Peleg et al. (1999), we provide characterizations of these player symmetry groups. We also extend the ordinially symmetric games of Osborne and Rubinstein (1994) from two to n players, and show that ordinally symmetric games with two strategies are ordinal potential games.
Past and future response of the North Atlantic warming hole to anthropogenic forcing

Abstract. Most of the North Atlantic ocean has warmed over the last decades, except a region located over the subpolar gyre, known as the North Atlantic “warming hole” (WH), where sea surface temperature (SST) has in contrast decreased. Previous assessments have attributed part of this cooling to the anthropogenic forcings (ANT) – aerosols (AER) and greenhouse gases (GHGs) – modulated by decadal internal variability. Here, I use an innovative and proven statistical method which combines climate models and observations to confirm the anthropogenic role in the cooling of the warming hole. The impact of the aerosols is an increase in SST which is opposed to the effect of GHGs. The latter largely contribute to the cooling of the warming hole over the historical period. Yet, large uncertainties remain in the quantification of the impact of each anthropogenic forcing. The statistical method is able to reduce the model uncertainty in SST over the warming hole, both over the historical and future periods with a decrease of 65 % in the short term and up to 50 % in the long term. A model evaluation validates the reliability of the obtained projections. In particular, the projections associated with a strong temperature increase over the warming hole are now excluded from the likely range obtained after applying the method.
Macrosegregation modeling during direct-chill casting of aluminum alloy 7050

ABSTRACT A fully transient model of the direct-chill casting process is used to predict the macrosegregation development of aluminum alloy 7050. The ingot diameter, casting speed, superheat, secondary cooling, and thickness of pure Al at startup are varied. Predicted radial composition distributions are fit to Weibull probability density functions at each axial location, and the normalized standard deviation describes the macrosegregation level and the time when the process reaches steady state. The sump depth, steady-state height, and macrosegregation level were most affected by changes in casting speed and ingot diameter. The pure Al dilutes the alloy and delays compositional steady state.
Finite difference for magnetic field response from a two-dimensional conductive ground

Abstract In our study, mathematical model of finite difference method for the magnetic field response from a two−dimensional continuously conductive ground is presented. The magnetic field at various locations are plotted by assuming the Earth structure having a two−dimensional exponential conductivity profile. There is a source providing a Direct Current (DC) voltage and receiver on the ground surface. Finite difference technique is applied to solve the partial differential equation. MATLAB programing is used to perform both values and graphs of magnetic field at various locations. The results show the intensity of magnetic field for cross−section of the ground structure very well. The behaviour of magnetic field clearly performs the relation to the conductive ground. The research results are very useful in geophysical exploration since normally we can measure magnetic field on the ground surface. The magnetic field can be able to imply the ore under the ground via the technique of inverse problem.
Influence of Graduate Teachers’ Knowledge of the Senior High School Social Studies Curriculum/ Instructional Objectives on Assessment Items

Aim: This study aimed at determining the influence of graduate teachers’ knowledge of the Senior High School Social Studies curriculum/ instructional objectives on assessment items. Methods: This study employed a qualitative and interpretive methodology, using the case study design. The population for the study included all the 15 graduate Social Studies teachers at the Senior High Schools in the Eastern Region of Ghana. The researchers by the use of the purposive sampling technique, selected ten (10) trained graduate Social Studies teachers out of the fifteen (15) teachers for the one-on-one interview. Qualitative data collection instruments were used in gathering data for the study. The data collection methods involved an interview guide made up of fifteen (15) semi-structured items for ten (10) graduate Social Studies teachers at the Senior High School level. Results: Findings from the study indicate that teachers’ assessment practices were to a very large extent not influenced by the objectives of the subject. The observational session revealed that not only did the performances in the test items match with performances in the curriculum/instructional objectives; but the choice of assessment techniques was inappropriate as the participants for instance used pencil-and–paper test in evaluating learning objectives dealing with valuing and the development of skills. Interestingly enough, even though all the participants agreed that the overall goal of Social Studies is citizenship education; their assessment practices did not reflect the curriculum/instructional goals of the subject. Conclusion: From the findings, the participants failed to consider the curriculum/ instructional objectives in their assessment practices. Most of the participants’ choices of assessment techniques were incongruent with their instructional objectives. Even though the participants demonstrated a very good knowledge of the objectives of teaching the subject, they failed to translate theory into practice. Recommendations: In order to ensure success in improving the educational system, there must be monitoring in the curriculum design, and its implementation. Educational policy could fail if there are lapses at any of the levels, that is, curriculum design, implementation and monitoring. In this study, however, the improvement of attitudes must be seen as the hallmark of social studies programme at the training institutions. This can be done with an increase in supervisory role carried out by the training institutions or universities in the country to see how their products are performing. These could help the programme to achieve its goals and objectives of teaching it.
Practical Waveform-to-Energy Harvesting Model and Transmit Waveform Optimization for RF Wireless Power Transfer Systems

The received radio-frequency (RF) power in far-field RF wireless power transfer (WPT)—with or without simultaneous information transfer—is minuscule due to large propagation loss in wireless media. In such scenarios, adapting to the receiver characteristics by transmit waveform optimization is essential for maximizing the harvested direct current (dc) and, thus, the end-to-end efficiency of an RF WPT system. The receiver efficiency in RF WPT is governed by the RF-to-dc efficiency of the rectifier as well as the impedance mismatch at the antenna and load. In this article, we study the receiver efficiency for any fixed load and, subsequently, present a novel rectifier model that relates the average harvested dc power to the distribution, that is, the histogram, of the instantaneous power levels of the RF signal’s envelope over time. The proposed waveform-to-energy harvesting (EH) model enables us to anticipate the average harvested dc power for any waveform, including communication signals as well, given the knowledge of the power-level distribution. Consequently, we conduct rigorous waveform optimization to maximize the average harvested dc power and determine the digital baseband signal at the transmitter that does so, namely prove that a pulsed tone at appropriate frequency is optimal for RF WPT. We present a multiband test-bed for determining the receiver efficiency for any digital baseband waveform. The efficacy of the proposed model is corroborated through experiments as well as simulations, which confirm that it is operational as well as accurate in practice and that single-sine pulses yield higher efficiency than basic multisine waveforms, while a pulsed phase shift keying (PSK) is preferable for simultaneous wireless information and power transfer (SWIPT).
Seeking Risk or Answering Smart? Experimental Evidence on Framing Effects in Elementary Schools

Losses are painful but how painful are negative outcomes? This paper presents results of a field experiment among 1377 elementary pupils on the effectiveness of loss framing and avoiding negative outcomes on pupils test performance. I compare answers of pupils in a multiple-choice test in math who are endowed with 0 points and earning points is framed as a gain (Control Group) to pupils who are endowed with the maximum number of points but earning points is framed as a loss (Loss Treatment). In a second treatment arm (Negative Treatment) earning points is again framed as a gain but pupils are endowed with a negative amount of points. However, pupils in this treatment could achieve a positive outcome by earning at least half of the points. I find that, on average, the number of correctly solved questions increases significantly in both treatments (Loss and Negative). The multiple-choice testing format allows to identify the underlying channels of improvements. While pupils in the Loss Treatment significantly seem to seek more risk---answer more multiple-choice questions---pupils in the Negative Treatment significantly answer more accurately---increase the share of correctly answered questions. Nevertheless, the Negative Treatment is preferable to the Loss Treatment as both treatments indeed significantly increase performance of high-ability pupils but low-ability pupils significantly perform worse under a loss frame.
TREAD-M3D: Temperature-Aware DNN Accelerators for Monolithic 3-D Mobile Systems

Monolithic 3-D (MONO3 D) integration provides performance and power efficiency benefits over 2-D circuits and, thus, is a potent technology for the design of deep neural network (DNN) accelerators with enhanced energy efficiency. However, high IC temperatures are major challenges for the design of MONO3 D systems. To this end, this article focuses on designing temperature-aware MONO3 D DNN accelerators. We propose a new automated method, called TREAD- M3 D, that provides a near-optimal MONO3 D DNN accelerator architecture in terms of systolic array size, SRAM organization, partition across 3-D layers, and operating frequency, for a given DNN, optimization goal, and temperature constraint. TREAD- M3 D incorporates circuit- and architecture-level models to evaluate the power and performance characteristics of different partitions. Our method reveals valuable insights and enables tradeoff analysis for achieving high energy efficiency in MONO3 D systolic arrays. In comparison to recent works that adopt a fixed partition choice to design MONO3 D DNN systems, TREAD- M3 D yields up to 22% higher energy efficiency. Using TREAD- M3 D, we further demonstrate that temperature unawareness not only leads to infeasible configurations due to temperature violations but also over-estimates energy-delay-product benefits by up to 24%.
Correlational study: Sports Students' special test results and basic athletic training learning outcomes

Introduction: The special test is an instrument that is carried out to select prospective students who have motor skills to be able to take part in sports practice lectures at FIK UNP. However, the grades for athletic practice courses were relatively low, leading to the emergence of various assumptions that the special tests carried out in selecting prospective students had little role. This study aims to see the relationship between the results of special tests with the learning outcomes of basic athletic practice for students majoring in coaching FIK UNP. Materials and methods: This type of research is quantitative descriptive research with a correlation study. The instruments used to obtain specific test results are the wall pass test, Basket Ball Throw, Standing Broad Jump, and Obstacle Race. Furthermore, on the learning outcomes of athletic practice through learning outcome data. This study was conducted on sports education students at FIK UNP using a Total Sampling sampling technique, with a total of 39 students taking basic athletics courses sampled. In terms of data verification, only 33 students were used for analytical computations. The SPSS version 26 application was used to help with the analysis in this investigation. Results: Based on the results of the special test correlation test with the results of the 100-meter run, it is known that the significance value is 0.000 > 0.05, which means there is a significant relationship. The results of the special test with discus throwing results are known, a significance value of 0.000 > 0.05, so there is a significant relationship between the special test and discus throwing results. Furthermore, special tests with the results of basic athletic results are known to have a significant value of 0.000 > 0.05, so there is a significant relationship between the special tests and the results of basic athletic results in students. Conclusion: The results of this study provide evidence that there is a significant relationship between the results of special tests and the learning outcomes of basic athletic practice in FIK UNP students. Where these results have provided a new reference related to the learning outcomes of basic athletic practice. Furthermore, you can find information related to factors that influence the learning outcomes of basic athletic practice in sports students. Keywords: Special Tests, Practical Learning Results, Basic Athletics, Sports Students
From loss to involuntary liquidity: refugees’ relationships to possessions

ABSTRACT This paper explores refugees’ relationships to consumption and possessions while they resettle in a Nordic country. The results of the empirical study (one-on-one photovoice interviews and micro focus group interviews with 32 Iraqi, Turkish, and Syrian refugees living in Finland) elucidate that the loss of possessions caused by forced displacement thrust refugees to prolonged liminality and alter their relationships to material possessions, pushing them from solid consumption to seek stability through temporary liquid consumption. The study contributes to consumer research by highlighting the role of liquid consumption during imposed long-term liminality and precarity and by exploring the temporal boundaries and characteristics of involuntary liquid consumption. The results improve our understanding of how people relate to consumption and possessions when navigating extreme and arduous life transitions and offers implications for NGOs working with refugee integration.
Analysis of Dislocation Density for GaN Based HEMTs in Screw Mod

Quick response is an important feature in design of optoelectronic cards. So in this study, structural properties of GaN/AlN/AlGaN HEMTs structures grown on sapphire by the chemical vapor adjustment method are analyzed by the X-ray diffraction method. The main property of these kind of materials is that they are resistant to high voltage, temperature, and pressure. Although their performance is worse compared silicon, for forcing limit standards, they present wide research field. In this study, the focus of investigation is dislocation density stemming from lattice mismatch between layers and wafer causing cracks on the surface. In HEMT structure calculation of dislocation density for GaN and AlN represents all structure. High dislocation density for AlN layer is determined because of aggressive behavior of Al element in the structure. Also, quantized GaN layers stop moving of dislocations and prevents surface cracks.