Miracle-dz/UniFAR-FTUs huggingface dataset:
Accelerometer-Based Sedentary Time, Physical Activity, and Serum Metabolome in Young Men

Physical activity (PA) has been shown to associate with many health benefits but studies with metabolome-wide associations with PA are still lacking. Metabolome studies may deepen the mechanistic understanding of PA on the metabolic pathways related to health outcomes. The aim of the present study was to study the association of accelerometer based sedentary time (SB) and PA with metabolome measures. SB and PA were measured by a hip-worn accelerometer in 314 young adult men (age: mean 28, standard deviation 7 years). Metabolome was analyzed from fasting serum samples consisting of 66 metabolome measures (nuclear magnetic resonance-based metabolomics). The associations were analyzed using a single and compositional approach with regression analysis. The compositional analysis revealed that 4 metabolome variables were significantly (γ: 0.32–0.44, p ≤ 0.002), and 13 variables with a trend towards significance (p < 0.05), associated with SB with varying metabolic pathways. Trends towards significant associations (p < 0.05) were observed with 5 variables with moderate-to-vigorous and 1 variable with light intensity PA with varying metabolic pathways. The present study revealed possible mechanistic pathways relevant for the interaction between especially SB but also PA of moderate-to-vigorous intensity with ketone bodies and amino acid concentration related to exercised-induced energy production and lipid metabolism.
Service failure and self-recovery in tech-based services: self-determination theory perspective

ABSTRACT The pervasiveness of self-service technologies (SSTs) in the service industry has led to renewed interest in SST failure and recovery. Understanding how customers respond to SST disruptions and motivating them to resolve SST failures by themselves should be at the core of service companies’ recovery strategies, as this entails significant benefits to service providers and customers. Drawing on self-determination theory, we examined how intrinsic motivation encourages customers to undertake self-recovery after SST failure. A survey was conducted among users of airport self-check-in kiosks, and the obtained data were analyzed using structural equation modeling. The findings show that a greater perceived needs for competence, autonomy, and relatedness results in higher expected value and attitude towards self-recovery, thus increasing self-recovery intention. Following expert interviews with airport personnel to consolidate the results, this study provides managerial suggestions aimed at raising customers’ intrinsic motivation, especially competence needs, to promote self-recovery.
Exploring the relationship between L2 language proficiency, language learning strategies, and self-efficacy: evidence from chilean classrooms

Language learning strategy (LLS) use and L2 self-efficacy (SE) have been regarded as crucial for the development oflearners of a second language (Rose et al., 2018). Although the relationship between these two variables has been addressed in the literature, scant attention has been given to how L2 language proficiency is related to both constructs in EFL contexts. Therefore, the present quantitative study gathered questionnaire data to characterize the relationship between the LLSs, SE perceptions, and L2 language proficiency of 47 adult EFL learners at a Chilean university. Results revealed significant strong correlations between speaking SE and cognitive strategies, as well as between writing SE and memory strategies. Weak but significant correlations were found between language proficiency and receptive skills (listening and writing SE). Pedagogical implications refer to the ways in which EFL teachers can increase their learners’ use of metacognitive strategies and increase their SE.
Factors Affecting the Psychological Well-Being of Health Care Workers During the COVID-19 Crisis

Background Health care workers (HCWs) are a group that especially suffered during the COVID-19 pandemic. In addition to facing the stress of dealing with patients and social isolation, they had to worry about being infected themselves and transmitting the infection to their families. This study evaluated the fear, anxiety, and depression experienced by HCWs during the COVID-19 crisis. Subjects and Methods The sample size was 541 HCWs. Data collection was done using an online validated questionnaire through Google Docs, sent to HCWs by email and WhatsApp groups. We assessed depression and anxiety with the 4-item Patient Health Questionnaire-4 (PHQ-4), while evaluating fear with the Fear of COVID-19 Scale (FCV-19S). Results A statistically significant difference was found in the perception of fear between married and unmarried people, and between those with colleagues who had died from COVID-19 infection and those without. There was a significant relation between HCWs’ anxiety and a history of death from COVID-19 infection, either of friends or of close relatives. The prevalence of depression was 18.48% in the tested sample of HCWs. Participants who had close relatives or friends infected with COVID-19 showed a significantly higher degree of depression. The age group <30 and those working 20 to 30 hours weekly showed higher degrees of anxiety and depression. Conclusion Sociodemographic variables such as age, marital status, and working area had a significant impact on the mental and psychological health of HCWs during the COVID-19 crisis. HCWs who lost patients due to COVID-19 had a significantly higher prevalence of fear, depression, and anxiety.
Second-order perturbation theory: a covariant approach involving a barotropic equation of state

We present a covariant and gauge-invariant formalism suited to the study of second-order effects associated with higher order tensor perturbations. The analytical method we have developed enables us to characterize pure second-order tensor perturbations about the FLRW model having different kinds of equations of state. Our analysis of the radiation case suggests that it may be feasible to examine the CMB polarization arising from higher order perturbations.
Safety Assessment on Serious Adverse Events of Targeted Therapeutic Agents Prescribed for RAS Wild-Type Metastatic Colorectal Cancer: Systematic Review and Network Meta-Analysis

Despite substantially elevated risk of serious adverse events (SAEs) from targeted therapy in combination with chemotherapy, comprehensive pharmacovigilance research is limited. This study aims to systematically assess SAE risks of commonly prescribed targeted agents (bevacizumab, cetuximab, and panitumumab) in patients with rat sarcoma viral oncogene homolog (RAS) wild-type metastatic colon cancer. Keyword searches of Cochrane Library, Clinical Key and MEDLINE were conducted per PRISMA-NMA guidelines. Frequentist network meta-analysis was performed with eight randomized controlled trials to compare relative risk (RR) of 21 SAE profiles. The risks of hematological, gastrointestinal, neurological SAE were insignificant among targeted agents (p > 0.05). The risk of serious hypertension was substantially elevated in bevacizumab-based chemotherapy (p < 0.05), whereas panitumumab-based chemotherapy had markedly elevated risk of serious thromboembolism (RR 3.65; 95% CI 1.30–10.26). Although both cetuximab and panitumumab demonstrated increased risk of serious dermatological and renal toxicities, panitumumab-based chemotherapy has relatively higher risk of skin toxicity (RR 15.22; 95% CI 7.17–32.35), mucositis (RR 3.18; 95% CI 1.52–6.65), hypomagnesemia (RR 20.10; 95% CI 5.92–68.21), and dehydration (RR 2.81; 95% CI 1.03–7.67) than cetuximab-based chemotherapy. Thus, further studies on risk stratification and SAE management are warranted for safe administration of targeted agents.
Synthesis, Crystal Structure, Quantum Chemical Analysis, Electrochemical Behavior, and Antibacterial and Photocatalytic Activity of Co Complex with Pyridoxal-(S-Methyl)-isothiosemicarbazone Ligand

New complex Co(III) with ligand Pyridoxal-S-methyl-isothiosemicarbazone, (PLITSC) was synthesized. X-ray analysis showed the bis-ligand octahedral structure of the cobalt complex [Co(PLITSC-H)2]BrNO3·CH3OH (compound 1). The intermolecular interactions governing the crystal structure were described by the Hirsfeld surface analysis. The structure of compound 1 and the corresponding Zn complex (([Zn(PLTSC)(H2O)2]SO4·H2O)) were optimized at the B3LYP/6–31 + G (d,p)/LanL2DZ level of theory, and the applicability was assessed by comparison with the crystallographic structure. The natural bond orbital analysis was used for the discussion on the stability of formed compounds. The antibacterial activity of obtained complexes towards S. aureus and E. coli was determined, along with the effect of compound 1 on the formation of free radical species. Activity of compound 1 towards the removal of methylene blue was also investigated. The voltammograms of these compounds showed the reduction of metal ions, as well as the catalyzed reduction of CO2 in acidic media.
EMTCAL: Efficient Multiscale Transformer and Cross-Level Attention Learning for Remote Sensing Scene Classification

In recent years, convolutional neural network (CNN)-based methods have been widely used for remote sensing (RS) scene classification tasks and have achieved excellent results. However, CNNs are not good at exploring contextual information, which is essential for fully understanding RS scenes. A new model named transformer attracts researchers’ attention to address this problem, which is skilled in mining the latent contextual information in RS scenes. Nevertheless, since the contents of RS scenes are diverse in type and various in scale, the performance of the original transformer in RS scene classification cannot reach what we expect. In addition, due to the specific self-attention mechanism, the time costs of the transformer are high, which hinders its practicability in the RS community. To overcome the above limitations, we propose a new model named efficient multiscale transformer and cross-level attention learning (EMTCAL) for RS scene classification in this article. EMTCAL combines the advantages of CNN and transformer to mine information within RS scenes fully. First, it uses a multilayer feature extraction module (MFEM) to acquire global visual features and multilevel convolutional features from RS scenes. Second, a contextual information extraction module (CIEM) is proposed to capture rich contextual information from multilevel features. In CIEM, taking the characteristics of RS scenes and the computational complexity into account, we propose an efficient multiscale transformer (EMST). EMST can mine the abundant knowledge with various scales hidden in RS scenes and model their inherent relations at small time costs. Third, a cross-level attention module (CLAM) is developed to aggregate and explore correlations of multilevel features. Finally, a class score fusion module (CSFM) is designed to integrate the contributions of global and aggregated multilevel features for discriminative scene representations. Extensive experiments are conducted on three public RS scene datasets. The positive results demonstrate that our EMTCAL can achieve superior classification performance and outperform many state-of-the-art methods. Our source codes are available in https://github.com/TangXu-Group/Remote-Sensing-Images-Classification/tree/main/EMTCAL.
Torsors, étale homotopy and applications to rational points

List of contributors Preface Part I. Lecture Notes: 1. Three lectures on Cox rings Jurgen Hausen 2. A very brief introduction to etale homotopy Tomer M. Schlank and Alexei N. Skorobogatov 3. Torsors and representation theory of reductive groups Vera Serganova Part II. Contributed Papers: 4. Torsors over luna strata Ivan V. Arzhantsev 5. Abelianisation des espaces homogenes et applications arithmetiques Cyril Demarche 6. Gaussian rational points on a singular cubic surface Ulrich Derenthal and Felix Janda 7. Actions algebriques de groupes arithmetiques Philippe Gille and Laurent Moret-Bailly 8. Descent theory for open varieties David Harari and Alexei N. Skorobogatov 9. Factorially graded rings of complexity one Jurgen Hausen and Elaine Herppich 10. Nef and semiample divisors on rational surfaces Antonio Laface and Damiano Testa 11. Example of a transcendental 3-torsion Brauer-Manin obstruction on a diagonal quartic surface Thomas Preu 12. Homotopy obstructions to rational points Yonatan Harpaz and Tomer M. Schlank.
Momentum transfer in boundary layers

Too many books on fluid mechanics are written on the strength of original material which makes up one chapter or less; the remainder being a restatement of the familiar contents of other books. This book by Cebeci and Bradshaw is totally free from such objections. The authors have both made very substantial contributions to knowledge in the area covered by the book. This shows clearly in the authority of the presentation, in the large number of very recent references and in the material, which is fresh and up-to-date without in any way being self-consciously trendy. Despite its title, the book is concerned with thin shear layers of all kinds and for the most part does not discuss them explicitly in terms of momentum transport: the title is presumably chosen to show that heat and mass transfer effects are not considered. The material covered is an impressive array of cases, representing the present state of knowledge. Far from the conventional concentration on two-dimensional wall boundary layers, the book gives considerable emphasis to both external and internal flows, to axisymmetric and three dimensional configurations and to free shear layers. Modern finite difference methods are described and, where appropriate, listings of Fortran programs are presented. The emphasis is on practical cases and practical methods of solution. A large number of novel and interesting problems and worked examples are given. The reviewer found the exposition uneven: in many parts, every comment carries an exciting new insight but in others the vision seems diminished and the presentation difficult to follow. A few passages consist of the presentation of the first author's research with little or no discussion of other methods. Surprisingly the derivation of the equations makes no mention of matched asymptotic expansions. Indeed, the laminar thin shear layer equations are accorded only the somewhat humble status of a data correlation. However, it would be unfair and misleading to emphasise minor shortcomings. The book is a powerful addition to the literature. It wil l demand an effort from its readers and is likely to be too advanced and uncompromising for undergraduate use but for postgraduate students and research workers, it is very welcome indeed. Any effort it demands is amply repaid. B. L. HUNT
Statistical Inference for High‐Dimensional Global Minimum Variance Portfolios

Many studies demonstrate that inference for the parameters arising in portfolio optimization often fails. The recent literature shows that this phenomenon is mainly due to a high‐dimensional asset universe. Typically, such a universe refers to the asymptotics that the sample size n + 1 and the sample dimension d both go to infinity while d ∕ n → c ∈ (0,1). In this paper, we analyze the estimators for the excess returns’ mean and variance, the weights and the Sharpe ratio of the global minimum variance portfolio under these asymptotics concerning consistency and asymptotic distribution. Problems for stating hypotheses in high dimension are also discussed. The applicability of the results is demonstrated by an empirical study. Copyright © 2014 John Wiley & Sons, Ltd.
Constant Beamwidth Transducer.

Abstract : This document discloses a broadband directional transducer, for providing both a beam pattern that is essentially constant for all frequencies above a certain cutoff frequency and an acoustic pressure distribution that is virtually independent of the distance from the transducer, includes a thin spherical cap of transduction ceramic material, the cap having a contour of arbitrary half-angle alpha which is measured from the axis of the cap, and having electrodes placed at the front and back surfaces of the cap such that when a sinusoidal voltage is applied across the electrodes the front surface vibrates sinusoidally with a radial velocity whose distribution over the cap is given by P sub nu (cos Theta), the Legendre function whose root of smallest angle occurs at Theta = Alpha, and where theta is an angle measured from the axis of the cap.
Enhanced efficiency and stability of Dion–Jacobson quasi-two-dimensional perovskite solar cells by additive

Dion–Jacobson (DJ) quasi-two-dimensional (quasi-2D) perovskite solar cells (PSCs) have attracted increasing attention owing to their potential stability compared with the Ruddlesden-Popper (RP) phase. It is known that the low efficiency and poor thermal stability retard the application of quasi-2D PSCs. Here, DJ quasi-2D perovskite films based on propane-1.3-diammonium (PDA) spacer cations were prepared by a hot casting technique. Ionic liquid additive of 1-butyl-3-methylimidazolium tetrafluoroborate (BMIMBF4) was introduced into the quasi-2D perovskite precursor solution to improve the crystal quality and morphology of the films. The quasi-2D PSCs with BMIMBF4 achieved an optimal power conversion efficiency (PCE) of 14.07%, which is higher than the 12.45% of the control devices. The impressive 1.17 V high open-circuit voltage and 14.07% efficiency are the highest values for the reported PDA-based n–i–p type devices. Moreover, the thermal stability of the solar cells was significantly enhanced by the addition of BMIMBF4. The PCE of the devices with BMIMBF4 maintains 72% of the initial value after annealing at 85 °C for 120 h, while the PCE of control devices drops to 19% of the initial value. These results prove that the introduction of ionic liquid BMIMBF4 is a pragmatic method to elevate the efficiency and thermal stability of quasi-2D PSCs.
Analysis Of The Socio-Economic Effect On Unemployment In Gorontalo Province

This study aims to know whether or not socio-economic indicators affect unemployment in Gorontalo Province. This study uses secondary data from 5 regencies and one city (Gorontalo Regency, Bone Bolango Regency, Gorontalo Utara Regency, Baalemo Regency, Pohuwato Regency, and Gorontalo City) from 2011 to 2020 sourced from journals, articles, and government agencies, such as Statistics of Indonesia. The data analysis technique uses panel data regression analysis. The finding shows that population growth has a negative and insignificant effect on unemployment in Gorontalo Province. Population growth will not necessarily reduce the unemployment rate in the Regencies/cities in Gorontalo Province. Economic growth has a negative and significant effect on unemployment in Gorontalo Province; every increase in economic growth can reduce the unemployment rate in the Regencies/cities in Gorontalo Province. Inflation has a negative and insignificant effect on unemployment in Gorontalo Province; inflation does not necessarily reduce the unemployment rate in the Regencies/cities in Gorontalo Province. The Human Development Index has a negative and significant effect on unemployment; This means that the increase in the human development index can reduce the unemployment rate in the Regency/City in Gorontalo Province.
Properties of Magnetohydrodynamic Turbulence in the Solar Wind as Observed

The Ulysses mission provides an opportunity to study the evolution of magnetohydrodynamic (MHD) turbulence in pure high-speed solar wind streams. The absence at high heliocentric latitudes of the strong shears in solar wind velocity generally present near the heliocentric current sheet allows investigation of how fluctuations in the magnetic field and plasma relax and evolve in the radially expanding solar wind. We report results of an analysis of the radial and latitudinal variation of the turbulence properties of the fluctuations, especially various plasma-field correlations, in high latitude regions. The results constrain current theories of the evolution of MHD turbulence in the solar wind. Compared to similar observations at 0.3 AU by Helios, we find spectra that are similar in having a large frequency band with an f¹ power spectrum in the outward traveling component of the waves, followed at higher frequencies by a steeper spectrum. Ulysses observations establish that at high latitudes the turbulence is less evolved (i.e., has a smaller inertial range) than it is in the ecliptic at the same heliocentric distance, apparently due to the absence of strong velocity shear. Once Ulysses is in the polar coronal hole, properties of the turbulence appear to be determined by the heliocentric distance of the spacecraft rather than by its helio-latitude.
Temporal design for aquatic organismal sampling across the National Ecological Observatory Network

The National Ecological Observatory Network (NEON) is a continental‐scale research platform designed to assess the impacts of climate change, land‐use change and invasive species on ecosystem structure and function at field sites distributed across 20 ecoclimatic domains (or regions) from Alaska to Puerto Rico. Aquatic sites within the NEON network include 24 streams, 7 lakes and 3 rivers among 19 domains. A significant challenge to this effort is defining standardized methodology for sampling at sites with substantially variable geomorphology and hydrology. The aquatic temporal sampling design provides timing windows for seasonal sampling to best assess organismal diversity and abundance. The need to establish a rule set for temporal sampling was addressed via site‐specific seasonal sampling windows, defined using a suite of environmental variables collected from publicly available meteorological data. Variables integrated into the design include stream flow, growing degree days and riparian phenology. Thresholds for these variables were determined using published literature and used to create three sampling windows for each sample site. Sampling windows target biological community diversity and seasonal changes in abundance, and roughly align with spring, mid‐summer and autumn. NEON‐generated organismal data from 2014 to 2021 were analysed for inter‐ and intra‐annual variability to quantify community‐scale variability among seasonal sampling windows and years at each site. Algae, macroinvertebrate and zooplankton community structure was significantly different within sites across sampling windows, supporting the sampling design of three separate windows per year. Moreover, 93% of sampling windows were completed from 2014 to 2021. An analysis of macroinvertebrate data at 14 sites shows that seasonal β‐diversity represents an important attribute of the stream community, even if interannual trends among sites may differ. We conclude that the temporal sampling design for NEON aquatic biological sampling is justified in having three sampling windows per site and is achievable at most NEON aquatic sites. Although sampling windows have been adjusted at a select number of sites, the original sampling windows are used successfully at the majority of NEON aquatic sites. Sampling windows will be updated with NEON continuous sensor data from each site once sufficient (>3 years) data are available.