Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Adaptive Power Control Based on LEACH Clustering Protocol for Interference Management in Cooperative D2D Systems

The cooperative device-to-device (D2D) system is becoming one of the most popular communication models in wireless 5G technology that combines the D2D system with cooperative communication to extend coverage and increase system performance. However, interference is one of the factors of decreasing service quality in cooperative D2D systems because of adjacent users/clusters and excessive power usage, which also causes interference to the receiver. Interference management, such as power control, can overcome interference problems in the cooperative D2D communication system. Therefore, this paper proposes a new form of adaptive power control (APC) based on the low-energy adaptive clustering hierarchy (LEACH) protocol for interference management systems in cooperative D2D systems that other studies have not considered. For a fair comparison, this paper also modifies the conventional fixed power control (FPC) method using the LEACH protocol and the modified fixed power control (MFPC) used in the previous study and then considers the system without power control. The simulation results show that the proposed APC can significantly reduce interference in cooperative D2D communication compared to the MFPC and without power control. Moreover, the simulation results also show that concerning the signal-to-interference and noise ratio (SINR) to the outage probability and throughput, the proposed APC performs better than the MFPC and without power control. Thus, the proposed APC can effectively reduce interference in cooperative D2D systems.
Degradation Monitoring and RUL Prediction of Rolling Element Bearing Using Proposed C-MMPE Feature

Effective feature extraction and selection from vibration signals is a challenging task in bearing fault diagnosis and prognosis, as it directly reflects the health of rolling bearings. In this paper, Cumulative Modified Multiscale Permutation Entropy (C-MMPE) feature is proposed to reflect the effective degradation trend of bearing. Modified Multiscale Permutation Entropy (MMPE) indicates the effective fluctuation in the signals signifying the presence of an incipient fault. Then, the cumulative effect of MMPE is carried out to show the increasing monotonic trend of bearing health indicators (HI). Finally, the exponential degradation model is performed on cumulative MMPE to predict the remaining useful life (RUL) of the bearing. The proposed feature results on bearing reveal an early indication of fault and effectively predict the RUL compared to other features such as root mean square (RMS), kurtosis, skewness, permutation entropy (PE), and multiscale permutation entropy (MSPE).
Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure

We describe a novel optimization-based approach—generalized synthetic control (GSC)—in which we learn from experiments conducted in a physical retail environment. GSC solves a long-standing problem of learning from experiments conducted in this environment when treatment effects are small, the environment is extremely noisy and nonstationary, and interference and adherence problems are commonplace. The utilization of GSC has demonstrated a remarkable increase in statistical power, approximately one hundredfold (100×) higher than conventional inferential methods. This innovative approach forms the basis of TestOps, a pioneering large-scale experimentation platform designed specifically for physical retailers. TestOps was developed and has been broadly implemented as part of a collaboration between Anheuser Busch Inbev (ABI) and a team of operations researchers and data engineers from the Massachusetts Institute of Technology. TestOps currently runs physical experiments impacting approximately 135 million USD in revenue every month and routinely identifies innovations that result in a 1%–2% increase in sales volume. The vast majority of these innovations would have remained unidentified had we not developed our novel approach to inference. Prior to our implementation, statistically significant conclusions could be drawn on only ∼6% of all experiments, a fraction that has now increased by 10-fold. Given its success, TestOps is being rolled out globally at ABI, driving significant revenue growth and enabling the extraction of valuable insights from large-scale physical experiments. History: This paper has been accepted for the INFORMS Journal on Applied Analytics Special Issue—2022 Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research.
Near-Earth Object Orbit Linking with the Large Synoptic Survey Telescope

We have conducted a detailed simulation of the ability of the Large Synoptic Survey Telescope (LSST) to link near-Earth and main belt asteroid detections into orbits. The key elements of the study were a high-fidelity detection model and the presence of false detections in the form of both statistical noise and difference image artifacts. We employed the Moving Object Processing System (MOPS) to generate tracklets, tracks, and orbits with a realistic detection density for one month of the LSST survey. The main goals of the study were to understand whether (a) the linking of near-Earth objects (NEOs) into orbits can succeed in a realistic survey, (b) the number of false tracks and orbits will be manageable, and (c) the accuracy of linked orbits would be sufficient for automated processing of discoveries and attributions. We found that the overall density of asteroids was more than 5000 per LSST field near opposition on the ecliptic, plus up to 3000 false detections per field in good seeing. We achieved 93.6% NEO linking efficiency for H < 22 on tracks composed of tracklets from at least three distinct nights within a 12 day interval. The derived NEO catalog was comprised of 96% correct linkages. Less than 0.1% of orbits included false detections, and the remainder of false linkages stemmed from main belt confusion, which was an artifact of the short time span of the simulation. The MOPS linking efficiency can be improved by refined attribution of detections to known objects and by improved tuning of the internal kd-tree linking algorithms.
Evaluation of Gas Turbine Exhaust Heat Recovery Utilizing Composite Supercritical CO 2 Cycle

Bottoming cycles are drawing a real interest in a world where resources are becoming scarcer and the environmental footprint of power plants is becoming more controlled. Reduction of flue gas temperature and power generation boost without burning more fuel are certainly very attractive, but how much can really be extracted from a Gas Turbine Unit (GTU) cycle to be converted to a combined configuration? The current study presents a continuation of our previous work in which supercritical CO 2 (S - CO 2 ) bottoming cycles were considered as an alternative to traditional steam cycles for purposes of waste heat recovery. Prior evaluation regarding the option of combined gas and S - CO 2 cycles for different gas turbine sizes, gas turbine exhaust gas temperatures and configurations of bottoming cycle type allowed making conclusions about the advisability of the mentioned heat utilization technology and selecting the best em-bodiment of bottoming cycle taking into account heat source features. In the present paper combinations of different S - CO 2 cycles are considered as bottoming parts for a specific middle power gas turbine. Such approach allows combining the advantages of different types of S - CO 2 cycles to increase the power production utilizing GTU waste heat. Also, a composite cycle approach is proposed to provide a positive effect from the combination of cycles and significantly decrease the number of components compared to what it would be for a sequential S - CO 2 cycles installation. The comparison of combined gas and supercritical CO2 cycles with traditional combined gas and steam cycles are presented in this paper. The specified comparison was performed in terms of additional power magnitude from the bottoming cycle installation and additional number of components.
Numerical study of anisotropy in a composite Fermi liquid

We perform density-matrix renormalization group studies of a two-dimensional electron gas in a high magnetic field and with an anisotropic band mass. At half-filling in the lowest Landau level, such a system is a Fermi liquid of composite fermions. By measuring the Fermi surface of these composite fermions, we determine a relationship between the anisotropy of composite fermion dispersion, $\alpha_{CF}$, and the original anisotropy $\alpha_F$ of the fermion dispersion at zero magnetic field. For systems where the electrons interact via a Coulomb interaction, we find $\alpha_{CF}=\sqrt{\alpha_F}$ within our numerical accuracy. The same result has been found concurrently in recent experiments. We also show results with other forms of the electron-electron interaction; this allows us (a) to benchmark our procedure against known exact results and (b) to show that the relationship between the anisotropies is dependent on the form of the interaction.
Neutron stars and pulsars : challenges and opportunities after 80 years : proceedings of the 291st Symposium of the International Astronomical Union held in Beijing, China, 20-24 August 2012

1. Pulsar discovery I 2. Pulsar genesis - neutron-star formation and birth properties 3. Pulsar discovery II 4. Pulsar diversity 5. Binary pulsars 6. Neutron star vibration and emission 7. Pulsar timing and testing gravitational theories 8. Pulsar timing 9. Pulsars and the interstellar medium 10. Galactic distribution and evolution of neutron stars 11. Pulsar magnetosphere and emission mechanisms 12. Emission mechanisms 13. Future facilities Summary Posters Author index.
Inattentive Price Discovery in ETFs

This paper studies the information choice of exchange-traded funds (ETF) investors, and its impact on the price eﬃciency of underlying stocks. First, we show that the learning of stock-speciﬁc information can occur at the ETF level. Our results suggest that ETF investors respond endogenously to changes in the fundamental value of underlying stocks, in line with the rational inattention theory. Second, we provide evidence that ETFs facilitate propagation of idiosyncratic shocks across its constituents.
Teachers’ Attitudes Towards the Use of Augmented Reality Technology in Teaching Arabic in Primary School Malaysia

—The era of Industrial Revolution 4.0 has brought the debate of teachers' willingness to use information technology in teaching Arabic. Thus, new technologies have emerged with a positive effect on teaching, such as augmented reality technology applied in the education system, especially in teaching. However, there is still limited research with regards to teaching in a foreign language. Therefore, the present study discusses the readiness of teachers from the aspect of knowledge and their attitude towards the use of augmented reality technology in the teaching of Arabic in Malaysia. The study was carried out using quantitative methodology with the use of survey questionnaire that is distributed to 36 Arabic language teachers as respondents. The usage of questionnaires as a research instrument forms the basis for data collection to identify respondents’ level of readiness. Afterwards, data analysis was carried out using the Statistical Package for the Social Science version 26 (SPSS). The results of the study show that the level of readiness of the teachers in terms of their attitude towards the use of augmented reality technology in the teaching of Arabic in Malaysia is at a moderate level. Nevertheless, teachers' attitudes and knowledge are still found to be at a low level, especially for veteran teachers who have no experience in information technology to influence their enthusiasm towards the use of technology in their teaching. The implication of the current study is hoped to be useful and beneficial as a guide to stakeholders who are responsible for ensuring the process of teaching and learning Arabic which is based on augmented reality technology can be implemented in a meaningful way, thereby improving the performance of students in mastering the Arabic language.
Aging-in-Place and Home Modifications for Urban Regeneration

The rapidly growing aging population is a global phenomenon imposing societal challenges on many cities. ‘Aging-in-place’ as a popular concept accommodates both the elderly desire to age in a familiar environment and adaptive old home modifications for aging. However, this concept has not been explored in-depth systematically in the urban regeneration context. This article explores a form of aging-in-place that is suitable for large and dense residential urban areas using the case of Hong Kong as an example of a laisse-faire fast-growing dense city, with a focus on home modifications. As in many other Asian cities, with a low tax rate and without a pension scheme, the elderly in Hong Kong are concerned more with the basic needs of health care and rely on public housing. Housing affordability is the primary concern. The government is expected to take the lead in aging-in-place in urban regeneration, in particular, to provide necessary home modifications for the elderly who live in public housing with primary health care provisions. A survey of 294 respondents revealed that housing expenditures, housing size, income level, and residential location are indicators of whether home modifications or health care in cities such as Hong Kong can be afforded by the locals, under tight budget constraints.
#2022-033 Income per ‐ capita across ‐ countries: Stories of catching ‐ up, stagnation, and laggardness

A sample of 131 countries is classified into those at the frontier (24 OECD countries), and those that over the 1950-2019 period managed to catching-up, remained stagnant, or kept lagging further behind. Time-distance to the frontier suggests that successful catching-up has been already completed by some countries. But it would take no less than 27 years and as much as 194 years in the most optimistic scenario for other countries. The comparative analysis reveals patterns of (unconditional) convergence, secular stagnation and divergence characterized by differences in the approach to local innovation and technology diffusion from abroad, jointly with the ability to take advantage of economies of scale.
Global-Scale Characterization of Streamflow Extremes

: 21 The increasing risk of floods across the globe needs focused attention because of the 22 extensive damage to human lives and economy. A comprehensive understanding of its 23 causative factors is of vital importance. Yet catchment characterization studies are generally 24 limited to case studies or regional domains. A comprehensive global characterization is 25 currently unavailable, which requires collecting and collating a large number of datasets over 26 vast areas. This study embraces large-sample data-driven science as a new paradigm to 27 characterize streamflow extremes by utilizing global datasets of physiographic explanatory 28 variables that could explain various facets of extreme streamflows. Along with the spatial 29 and temporal variations of high streamflow extremes, their correlation with various 30 catchment characteristics such as geomorphology, meteorology, climatology, landcover, 31 lithology, etc. were examined. The multidimensional relationships between the streamflow 32 extremes and catchment characteristics were modeled using a Random Forest approach and 33 combined with an interpretable machine learning framework to identify the most dominant 34 factors in varying climate classes. Interpretation with SHAP (SHapley Additive 35 exPlanations) reveals that meteorological variables are the most influential variables across 36 the climatic classes. However, the variables and their influences change among different 37 climatic classes. Moreover, different geomorphological variables come into dominance 38 across climatic classes (such as basin relief in warm temperate and drainage texture in arid 39 climates). Overall, the insights from the study could play a crucial role in predicting the unit 40 peak discharge at ungauged stations from the known catchment characteristics. Moreover, 41 these findings can also play a crucial role in formulating risk management strategy.
Convergence of some horocyclic deformations to the Gardiner-Masur boundary

We introduce a deformation of Riemann surfaces and we are interested in the convergence of this deformation to a point of the Gardiner-masur boundary of Teichmueller space. This deformation, which we call the horocyclic deformation, is directed by a projective measured foliation and belongs to a certain horocycle in a Teichmueller disc. Using works of Marden and Masur and works of Miyachi, we show that the horocyclic deformation converges if its direction is given by a simple closed curve or a uniquely ergodic measured foliation.
First zootiological survey of Amblyomma geoemydae ticks (Acari: Ixodidae) infesting wild turtles in Northern Taiwan

The prevalence of Amblyomma geoemydae infesting wild turtles (Cuora �avomarginata) was determined for the �rst time in northern Taiwan. A total of 352 ticks including 140 adults, 61 nymphs and 151 larvae were collected from 56 wild turtles. The overall infestation was observed with an average density of 6.29 ticks per turtle and the highest seasonal prevalence was observed on March with an average tick density of 14.25 ticks per turtle. The higher seasonal prevalence was observed on April, May, July and October with an average density of 4.82, 8.33, 5.67 and 8.50 ticks per turtle, respectively. The genetic identity was determined by comparing the sequences of ITS2 genes obtained from 7 Taiwan strains of Am. geoemydae and 9 other strains representing 8 species of Amblyomma and 1 outgroup species of Ixodes tick. Our results provide the �rst zootiological survey of Am. geoemydae ticks infesting wild turtles in northern Taiwan and highlight the possible geographical impacts of this tick species on animal/human health.
Istros, Black Sea Coast, Romania A geoarchaeological perspective on the location of the harbour(s)

Istros, founded during the 7th century BCE, is one of the oldest Greek colonies on the shores of the Black Sea. On the southern margin of the Danube delta, what was an ancient maritime city is now a landlocked archaeological site. Even though archaeological investigations have continued since 1914, the location of the harbour(s) remains unknown. Efforts to find a harbour are hindered by the complex geomorphological evolution of the Danube delta and by the long human occupation history of the site. However, a new perspective is offered by a geoarchaeological approach, combining coring with geophysical and archaeological investigations.
False outliers of the Ep,i – Eiso correlation?

Context. In the context of an in-depth understanding of GRBs and their possible use in cosmology, some important correlations between the parameters that describe their emission have been discovered, among which the “ E p,i – E iso ” correlation is the most studied. Because of this, it is fundamental to shed light on the peculiar behaviour of a few events, namely GRB 980425 and GRB 031203, that appear to be important outliers of the E p,i – E iso correlation. Aims. In this paper we investigate if the locations of GRB 980425 and GRB 031203, the two (apparent) outliers of the correlation, may be due to an observational bias caused by the lacking detection of the soft X-ray emissions associated with these GRBs, from respectively the Burst And Transient Source Experiment (BATSE) detector on-board the Compton Gamma-Ray Observer and INTEGRAL, that were operating at the epoch at which the observations were carried out. We analyse the observed emission of other similar sub-energetic bursts (GRBs 060218, 100316D and 161219B) observed by Swift and whose integrated emissions match the E p,i – E iso relation. We simulate their integrated and time-resolved emissions as would have been observed by the same detectors that observed GRB 980425 and GRB 031203, aimed at reconstructing the light curve and spectra of these bursts. Methods. We estimate the E p,i and the E iso parameters from the time-resolved and total integrated simulated spectra of GRBs 060218, 100316D and 161219B as observed by Beppo SAX, BATSE, INTEGRAL, and the Wide Field Monitor (WFM) proposed for the Large Observatory For X-ray Timing (LOFT) and enhanced X-ray Timing and Polarimetry (eXTP) missions. Results. If observed by old generation instruments, GRBs 060218, 100316D, and 161219B would appear as outliers of the E p,i – E iso relation, while if observed with Swift or the WFM GRB 060218 would perfectly match the correlation. We also note that the instrument BAT alone (15−150 keV) did measure GRB 060218 as an outlier. Conclusions. We suggest that if GRB 980425 and GRB 031203 would have been observed by Swift and by eXTP, they might have matched the E p,i – E iso relation. This provides strong support to the idea that instrumental biases can cause some events in the lower left corner of the E p,i – E iso plane to appear as outliers of the so-called Amati relation.
Running head: EXISTENTIAL THREAT AND PRO-ENVIRONMENTAL BEHAVIOR 1 Breaking Bad: Existential Threat Decreases Pro-Environmental Behavior

Why is it that people do not change their behavior in the face of global threats? We hypothesized that when people who have been encouraged to engage in pro-environmental behavior are threatened, they fall back into their (bad) habits instead of exhibiting behavioral change; existential threat may thereby counteract pro-environmental norms. We tested this hypothesis in two field studies in which participants were encouraged to reduce paper use. Although the requests initially resulted in decreased paper use, this pro-environmental behavior ceased when an existential threat was induced. We discuss theoretical and practical implications for social psychology theorizing and behavioral change.
Pricing Externalities in the Presence of Adaptation

I study optimal taxation in a general equilibrium model in which households compete against ﬁnal goods producers for pollutant-emitting intermediate goods. For example, as the climate warms, households use more energy in the form of air conditioning. I show theoretically that an increase in market demand for such goods increases polluting ﬁrms’ marginal proﬁt. Firms respond by increasing their production, leading to higher pollution levels. To take these theoretical insights to reduced-form evidence, I construct a macroeconomic climate-economy model using heat-related discomfort and cooling loads as an example. In a calibrated economy, I ﬁnd that the mortality social costs of carbon in 2020 are underestimated by about 7% if such feedback is not considered.