Miracle-dz/UniFAR-FTUs huggingface dataset:
The Transformation of Galaxies within the Large-Scale Structure around a z = 0.41 Cluster

We present deep, panoramic multicolor imaging of the distant rich cluster A851 (Cl 0939+4713, z = 0.41) using Suprime-Cam on the Subaru Telescope. These images cover a 27' field of view, ~11 h Mpc at z = 0.41, and by exploiting photometric redshifts estimated from our BVRI imaging we can isolate galaxies in a narrow redshift slice at the cluster redshift. Using a sample of ~2700 probable cluster members brighter than 0.02L, we trace the network of filaments and subclumps around the cluster core. The depth of our observations, combined with the identification of filamentary structure, gives us an unprecedented opportunity to test the influence of the environment on the properties of low-luminosity galaxies. We find an abrupt change in the colors of ≲0.1L galaxies at a local density of 100 galaxies Mpc-2, with the population in lower density regions being predominantly blue while those in higher density regions are red. The transition in the color-local density behavior occurs at densities corresponding to subclumps within the filaments surrounding the cluster. Identifying the sites where the transition occurs brings us much closer to understanding the mechanisms that are responsible for establishing the present-day relationship between environment and galaxy characteristics.
Persisting Vaccine Hesitancy in Africa: The Whys, Global Public Health Consequences and Ways-Out—COVID-19 Vaccination Acceptance Rates as Case-in-Point

Vaccine hesitancy (VH) is the seventh among the WHO’s top 10 threats to global public health, which has continued to perpetuate the transmission of vaccine preventable diseases (VPDs) in Africa. Consequently, this paper systematically reviewed COVID-19 vaccine acceptance rates (VARs)—including the vaccine uptake and vaccination intention—in Africa from 2020 to 2022, compared the rates within the five African regions and determined the context-specific causes of VH in Africa. Generally, COVID-19 VARs ranged from 21.0% to 97.9% and 8.2% to 92.0% with mean rates of 59.8 ± 3.8% and 58.0 ± 2.4% in 2021 and 2022, respectively. Southern and eastern African regions had the top two VARs of 83.5 ± 6.3% and 68.9 ± 6.6% in 2021, and 64.2 ± 4.6% and 61.2 ± 5.1% in 2022, respectively. Based on population types, healthcare workers had a marginal increase in their mean COVID-19 VARs from 55.5 ± 5.6% in 2021 to 60.8 ± 5.3% in 2022. In other populations, the mean VARs decreased from 62.7 ± 5.2% in 2021 to 54.5 ± 4% in 2022. As of 25 October 2022, Africa lags behind the world with only 24% full COVID-19 vaccinations compared to 84%, 79% and 63% reported, respectively, in the Australian continent, upper-middle-income countries and globally. Apart from the problems of confidence, complacency, convenience, communications and context, the context-specific factors driving COVID-19 VH in Africa are global COVID-19 vaccine inequality, lack of vaccine production/maintenance facilities, insecurity, high illiteracy level, endemic corruption, mistrust in some political leaders, the spreading of unconfirmed anti-vaccination rumors and political instability. With an overall mean COVID-19 acceptance rate of 58%, VH still subsists in Africa. The low VARs in Africa have detrimental global public health implications, as it could facilitate the emergence of immune invading SARS-CoV-2 variants of concern, which may spread globally. Consequently, there is a need to confront these challenges frontally and engage traditional and religious leaders in the fight against VH in Africa, to restore public trust in the safety and efficacy of vaccines generally. As the availability of COVID-19 vaccines improves, the vaccination of pets and zoo-animals from which reverse zoonotic transmission of SARS-CoV-2 have been reported is recommended, to limit the evolution and spread of new variants of concern and avert possible SARS-CoV-2 epizootic or panzootic diseases in susceptible animal species.
THE K2 GALACTIC ARCHAEOLOGY PROGRAM DATA RELEASE I: ASTEROSEISMIC RESULTS FROM CAMPAIGN 1

NASA's K2 mission is observing tens of thousands of stars along the ecliptic, providing data suitable for large-scale asteroseismic analyses to inform galactic archaeology studies. Its first campaign covered a field near the north Galactic cap, a region never covered before by large asteroseismic-ensemble investigations, and was therefore of particular interest for exploring this part of our Galaxy. Here we report the asteroseismic analysis of all stars selected by the K2 Galactic Archaeology Program during the mission's “north Galactic cap” campaign 1. Our consolidated analysis uses six independent methods to measure the global seismic properties, in particular the large frequency separation and the frequency of maximum power. From the full target sample of 8630 stars we find about 1200 oscillating red giants, a number comparable with estimates from galactic synthesis modeling. Thus, as a valuable by-product we find roughly 7500 stars to be dwarfs, which provide a sample well suited for galactic exoplanet occurrence studies because they originate from our simple and easily reproducible selection function. In addition, to facilitate the full potential of the data set for galactic archaeology, we assess the detection completeness of our sample of oscillating red giants. We find that the sample is at least nearly complete for stars with /μHz and μHz. There is a detection bias against helium core burning stars with μHz, affecting the number of measurements of and possibly also . Although we can detect oscillations down to , our campaign 1 sample lacks enough faint giants to assess the detection completeness for stars fainter than .
The Test Case of HD 26965: Difficulties Disentangling Weak Doppler Signals from Stellar Activity

We report the discovery of a radial velocity signal that can be interpreted as a planetary-mass candidate orbiting the K dwarf HD 26965, with an orbital period of 42.364 ± 0.015 days, or alternatively, as the presence of residual, uncorrected rotational activity in the data. Observations include data from HIRES, PFS, CHIRON, and HARPS, where 1111 measurements were made over 16 years. Our best solution for HD 26965 b is consistent with a super-Earth that has a minimum mass of 6.92 ± 0.79 orbiting at a distance of 0.215 ± 0.008 au from its host star. We have analyzed the correlation between spectral activity indicators and the radial velocities from each instrument, showing moderate correlations that we include in our model. From this analysis, we recover a ∼38-day signal, which matches some literature values of the stellar rotation period. However, from independent Mt. Wilson HK data for this star, we find evidence for a significant 42-day signal after subtraction of longer period magnetic cycles, casting doubt on the planetary hypothesis for this period. Although our statistical model strongly suggests that the 42-day signal is Doppler in origin, we conclude that the residual effects of stellar rotation are difficult to fully model and remove from this data set, highlighting the difficulties to disentangle small planetary signals and photospheric noise, particularly when the orbital periods are close to the rotation period of the star. This study serves as an excellent test case for future works that aim to detect small planets orbiting “Sun-like” stars using radial velocity measurements.
Impact of Physical Activity on the Characteristics and Metabolic Consequences of Alcohol Consumption: A Cross-Sectional Population-Based Study

Sedentary lifestyle and excessive alcohol drinking are major modifiable risk factors of health. In order to shed further light on the relationships between physical activity and health consequences of alcohol intake, we measured biomarkers of liver function, inflammation, lipid status and fatty liver index tests in a large population-based sample of individuals with different levels of physical activity, alcohol drinking and other lifestyle risk factors. The study included 21,050 adult participants (9940 men, 11,110 women) (mean age 48.2 ± 13.3 years) of the National FINRISK Study. Data on physical activity, alcohol drinking, smoking and body weight were recorded. The participants were classified to subgroups according to gender, levels of physical activity (sedentary, low, moderate, vigorous, extreme), alcohol drinking levels (abstainers, moderate drinkers, heavy drinkers) and patterns (regular or binge, types of beverages preferred in consumption). Serum liver enzymes (GGT, ALT), C-reactive protein (CRP) and lipid profiles were measured using standard laboratory techniques. Physical activity was linearly and inversely related with the amount of alcohol consumption, with the lowest alcohol drinking levels being observed in those with vigorous or extreme activity (p < 0.0005). Physically active individuals were less frequently binge-type drinkers, cigarette smokers or heavy coffee drinkers than those with sedentary activity (p < 0.0005 for linear trend in all comparisons). In the General Linear Model to assess the main and interaction effects of physical activity and alcohol consumption on biomarker status, as adjusted for anthropometric measures, smoking and coffee consumption, increasing levels of physical activity were found to be associated with more favorable findings on serum GGT (p < 0.0005), ALT (p < 0.0005 for men), cholesterol (p = 0.025 for men; p < 0.0005 for women), HDL-cholesterol (p < 0.0005 for men, p = 0.001 for women), LDL-cholesterol (p < 0.03 for men), triglycerides (p < 0.0005 for men, p < 0.03 for women), CRP (p < 0.0005 for men, p = 0.006 for women) and fatty liver index (p < 0.0005). The data support the view that regular moderate to vigorous physical activity may counteract adverse metabolic consequences of alcohol consumption on liver function, inflammation and lipid status. The role of physical activity should be further emphasized in interventions aimed at reducing health problems related to unfavorable risk factors of lifestyle.
High-Energy Galactic Cosmic Rays (Astro2020 Science White Paper)

The origin of the highest energy Galactic cosmic rays is still not understood, nor is the transition to EeV extragalactic particles. Scientific progress requires enhancements of existing air-shower arrays, such as: IceCube with its surface detector IceTop, and the low-energy extensions of both the Telescope Array and the Pierre Auger Observatory.
Serial Acceleration-Deceleration Transitions in a Cyclic Universe with Negative Curvature.

In this work we develop a general phenomenological model of the Cyclic Universe. We construct periodic scale factor a(t) from the requirements of the periodicity of a(t) with no singular behavior at the turning points t_\alpha and t_\omega and the requirement that a unique analytical form of the Hubble function H(z) can be derived from the Hubble function H(t) to fit the data on H(z). We obtain two versions of a(t) called Model A and Model C. Hubble data select Model A. With the analytical forms of the Hubble functions H(t) and H(z) known we calculate the deceleration parameters q(t) and q(z) to study the acceleration-deceleration transitions during the expansion phase. We find that the initial acceleration at t_\alpha=0 transits at t_{ad1}=3.313x10^{-38}s into deceleration period that transits at t_{da}=6.713 Gyr to the present period of acceleration. The present acceleration shall end in a transition to the final deceleration at t_{ad2}=38.140 Gyr. The expansion period lasts 60.586 Gyr. The complete cycle period is T=121.172 Gyr. We use the deceleration parameters q(z) and q(t) to solve the Friedmann equations for the energy densities of Dark Energy \Omega_0 and Dark Matter \Omega_M to describe their evolutions over a large range of z and t. We show that in the Model A the curvature density \Omega_c(z) evolves from a flat Universe in the early times to a curves anti de-Sitter spacetime today. There is no Standard Model Inflation in the Model A.
Reengaging in their future: Students’ experiences of preparedness for education and training after attending a transitional school year

This study aimed to explore how students describe their preparedness for education and training after attending the additional school year following lower secondary school. The main purpose of the additional school year is to prepare youths for upper secondary school. The aim is to increase their chances of completion by providing students with an adapted and flexible schooling arena. The target group are students who have completed lower secondary school but are at risk of early school leaving (ESL) due to numerous risk factors, such as low academic achievement, lack of a sense of belonging to the school, or lack of parental involvement. Little is known, however, about how students experience preparedness for future education after attending an additional school year. Drawing on the theoretical underpinnings of disengagement and re-engagement, the present study addressed this gap by examining how 17 youths (age 16) attending the additional school year experienced readiness for future education and training. Data comprised individual interviews with youths in the target group. The reflexive and thematic appro ach to analysis indicated that students’ experiences of preparedness were characterized by a process of re-engagement in the present and for the future, including social, academic, and practical preparedness. Preparedness is discussed as many-faceted, intertwined with affordances of alternative schooling, and a process of re-engagement. Implications for alternative and conventional schooling are discussed.
Starspot Activity and Superflares on Solar-type Stars

Abstract Recent high-precision photometry from space (e.g., Kepler) enables us to investigate the nature of “superflares” on solar-type stars. The bolometric energy of superflares detected by Kepler ranges from 1033 erg to 1036 erg which is 10-10,000 times larger than that released by a typical X10 class solar flare. The occurrence frequency (dN/dE) of superflares as a function of flare energy (E) shows the power-law distribution with the power-law index of ~−1.8 for 1034 < E < 1036 erg. Most of superflare stars show quasi-periodic light variations which suggest the presence of large starspots. The bolometric energy released by flares is consistent with the magnetic energy stored near the starspots. The occurrence frequency of superflares increases as the rotation period decreases. However, the energy of the largest flares observed in a given period bin does not show any clear correlation with the rotation period. These results suggest that superflares would occur on the slowly-rotating stars.
Awarding gaps in higher education by ethnicity, schooling and family

: Previous research has established that undergraduate students in the UK who had attended private schools perform less well at university, on average, than equivalent students who had been educated at a state school prior to university (Smith and Naylor, 2001 and 2005; Crawford, 2014a). This well-known result has provided an evidence base for the use of contextualised offers in admissions across the sector (Schwartz Report, 2004; Hubble and Bolton, 2020) as an instrument for enhancing social mobility. In the current paper, we use a rich dataset for a particular university to examine whether the negative association between private schooling and class of degree awarded holds across all students, independent of ethnicity: we find that it does not. For White students, we obtain the standard result that private schooling is associated negatively with class of degree. However, in stark contrast, among students whose ethnicity is self-reported as either Black, Asian or Mixed Ethnicity, attendance at a private school prior to university is, on average, associated positively with the class of degree awarded. On further exploration, we find this is driven by a strong positive association among Black students and students of Mixed Ethnicity; the overarching category of Black, Asian and Minority Ethnicity conceals substantive differences within the category. Among Asian students, the absence of any association between private schooling and degree class, on average, masks a very strong negative association for those from lower socioeconomic status backgrounds. We discuss and interpret our results in the context of hypotheses within the literatures on schooling effects and on the ethnicity awarding gap in higher education.
Unpacking Policy Uncertainty: Evidence from European Firms

The intensifying nature of policy uncertainty makes it a popular explanation for recent weak economic performance and puzzles. However, the empirical literature is limited in its ability to make causal claims because it largely relies on macro-level measures of policy uncertainty and treats the concept as homogenous but indeterminate. This research addresses these limitations by exploiting variation in firms’ exposure to external markets to construct a firm-level measure of policy uncertainty. The approach both highlights a new channel for policy uncertainty and allows for stronger causal identification of the effects of policy uncertainty on economic performance. As part of this effort, I refine prior approaches to measuring policy uncertainty and distinguish between generic, fiscal, monetary, and trade policy uncertainty. I find that firms with greater exposure to external markets tend to experience larger declines in investment, sales, profits, and employment when fiscal and monetary policy uncertainty increase. Unexpectedly, increases in trade policy uncertainty appear to have a positive impact on exports for exposed firms. Both sets of findings can be rationalized in a standard model of firm investment under uncertainty. In particular, I present evidence that exposed firms may perceive increased uncertainty around trade agreement negotiations as a signal that negative outcomes are less likely in the near-term, incentivizing immediate investments. I am greatly indebted to my advisors, Andrés Rodríguez-Clare and Maurice Obstfeld, for their constructive critiques and continuous support. I also thank Nicholas Bloom; Benjamin Faber; Thibault Fally; Cecile Gaubert; Yuriy Gorodnichenko; Pierre-Olivier Gourinchas; Peter Blair Henry; Damon Jones; Dmitri Koustas; John Loeser; Yusuf Mercan; John Mondragon; and participants of the Department of Economics Trade Workshop at the University of California, Berkeley and the New York University, Stern School of Business PhD Excellence workshop for their helpful suggestions as the project developed over time. Finally, I also thank my two research assistants—Chloe Feng and Hyeon (Juliana) Hwang—for their tireless efforts and commitment to the work. All errors are my own. For questions and comments, please send an email to sandile@econ.berkeley. edu. For the latest draft of the paper, visit www.sandile. com.
Analysis of Machine Learning Algorithm for Sleep Apnea Detection Based on Heart Rate Variability

Sleep apnea is a common problem with health implications ranging from excessive daytime sleepiness to serious cardiovascular disorders. The method for detecting and measuring sleep apnea is through breathing monitoring (polysomnography), which is time consuming and relatively expensive. Cardiovascular which is closely related to heart performance activities allows the use of electrocardiogram (heart rate variability) features to detect sleep apnea. This study aims to compare the results of sleep apnea detection using several machine learning algorithms. A total of 2,445 data were divided into 1,834 data as learning sets and 611 data as test sets. Evaluation of 10-fold cross-validation using all HRV features shows that neural network algorithm has the best performance compared to decision tree algorithm, k-nearest neighbor, and support vector machine with an accuracy rate (82.44% in the learning set, 79.21% in the test set consecutively), precision (85.54% and 82.70%), f-measure (87.70% and 85.67%), and AUC (0.867 and 0.832). Based on the results of performance testing using only selected HRV features (CVRR, HF, SD1/SD2 Ratio, and S-Region), the K-Nearest Neighbors, Support Vector Machine, and Neural Network algorithms experienced a decrease in performance. The use of all HRV features is recommended compared to only using selected HRV features, so it can help detect the presence/absence of sleep apnea much better.
Broadband Internet and Protests: Investigating the Occupy Movement in the United States

This paper investigates the inﬂuence of broadband Internet availability in the occurrence of events of civil unrest, using collected data on the locations of protesting activities related with 2011’s Occupy Movement in the U.S. We consider the hypothesis that the Internet sets an environment for communication and information exchange that boosts collective dissatisfaction towards unfair policies. Linear estimates suggest that each new Internet Service Provider (which is associated to an increase in broadband penetration of about 0.5 p.p.) accounts for an increase between 1 and 3 p.p. in the probability of observing protests in a given location. Results are consistent when analyzing county-level data for the contiguous U.S., for each diﬀerent U.S. region separately (Norheast, Midwest, South and West), and when analyzing city-level data for California. most frequently mentioned demands debated various occupations hints at the extraordinary diversity of the movement’s targets: controlling ﬁnancial speculation, particularly high trading; auditioning Federal Reserve; addressing the housing crisis; controlling opposing the jobs; defending collective bargaining and union rights; reducing income reforming reforming political campaign allowing campaign corporations; banning bailouts controlling the military-industrial limiting terms defending freedom combating and xenophobia; improving student loans; opposing the keystone pipeline and other environmentally predatory projects; enacting policies against global warming; ﬁning and controlling BP and similar oil spin-ners; enforcing animal rights; supporting alternative energy sources; critiquing personal leadership and vertical authority [. ]; and watching out for cooptation in the political system [. ]. ”