Miracle-dz/UniFAR-FTUs huggingface dataset:
A new development in shallow explorations using microtremors based on a practical use of a CCA method

We have continued development of a CCA method (Centerless Circular Array) for nearly 10 years as a tool to determine phase velocities of Rayleigh waves by using vertical-component microtermor arrays. The initial development was characterized by the applicability of a CCA method to irregular arrays consisting of three seismometers (Cho et al. 2004). Later, we found the poten-tial of a CCA method to deal with a very long-wavelength range relative to an array size (Cho et al., 2006). Recently, we showed that wavelengths more than 100 m are analyzable using miniature arrays having radius less than 1 m, by adopting a CCA method and a noise-compensated CCA method (Cho et al., 2013). This time, we have examined the practical use of a CCA method and its application.Wereplaced the cross spectra that are involved in a fundamental equation of a CCA method with coherence functions (Here-after, we call it a coherence CCA method). A comparison between the analysis results of coherence-SPAC and CCA methods indicated that the coherence CCA method can produce conﬁdential and robust results. In particular, the noise-compensated CCA method for miniature arrays were signiﬁcantly stabilized by the use of coherences, producing performances much higher than that of the SPAC method. We expect that the use of the coherence CCA method with miniature arrays (r < 1 m), together with small irregular arrays consisting of three seismometers (r < 10 m) depending on the necessity, enables shallow subsurface explorations (to the depth of about several tens of meters) more practical than ever before, from view points of the mobility of observations, broadness of the analyzable wavelength ranges, and the reliability and robustness of the analysis results. Incidentally, discuss the usefulness and problems of the proposed method.
Resolved Stellar Streams around NGC 4631 from a Subaru/Hyper Suprime-Cam Survey

We present the first results of the Subaru/Hyper Suprime-Cam survey of the interacting galaxy system, NGC 4631 and NGC 4656. From the maps of resolved stellar populations, we identify 11 dwarf galaxies (including already-known dwarfs) in the outer region of NGC 4631 and the two tidal stellar streams around NGC 4631, named Stream SE and Stream NW, respectively. This paper describes the fundamental properties of these tidal streams. Based on the tip of the red giant branch method and the Bayesian statistics, we find that Stream SE (7.10 Mpc in expected a posteriori, EAP, with 90% credible intervals of [6.22, 7.29] Mpc) and Stream NW (7.91 Mpc in EAP with 90% credible intervals of [6.44, 7.97] Mpc) are located in front of and behind NGC 4631, respectively. We also calculate the metallicity distribution of stellar streams by comparing the member stars with theoretical isochrones on the color–magnitude diagram. We find that both streams have the same stellar population based on the Bayesian model selection method, suggesting that they originated from a tidal interaction between NGC 4631 and a single dwarf satellite. The expected progenitor has a positively skewed metallicity distribution function with , with 90% credible intervals of [−1.46, −0.51]. The stellar mass of the progenitor is estimated as , with 90% credible intervals of ] based on the mass–metallicity relation for Local group dwarf galaxies. This is in good agreement with the initial stellar mass of the progenitor that was presumed in the previous N-body simulation.
What Is Your Biggest Pain Point?: An Investigation of CS Instructor Obstacles, Workarounds, and Desires

Computer science instructors have one of the most crucial roles in training and making educational materials. However, they face many challenges everyday that make it difficult to provide a high-quality learning experience to their students. Additionally, demand for computer science training is rapidly increasing, and to meet this demand, classrooms need to run on a larger scale, which may exacerbate instructor pain points further. While many of the previous studies in the computer science education community have focused on improving the students' learning experience, in this study we investigate computer science instructors. It is paramount to understand how instructors can be supported more effectively while continuing to improve the material they use in their courses and allow them to focus on student needs. To understand these instructor challenges, we conducted semi-structured interviews with 32 computer science instructors at universities and community colleges to ask about their experiences in preparing course material, lecturing, grading, providing feedback to students, and what they wished they could change. In this paper, we summarize our findings as themes of challenges and pain points for instructors, the consequences of not solving them, and suggested guidelines that may help resolve or reduce these pain points.
INFORMATION ASYMMETRY AND EARNING MANAGEMENT: GOOD CORPORATE GOVERNANCE AS MODERATING VARIABLE

The reseach aims to analysis the effect of information asymmetry to earning management with good corporate governance as moderating variables. The sample is 43 manufacturing companies which listed in Bursa Efek Indonesia (BEI) and include the best 10 th ranked by Corporate Governance Perception Index (CGPI) during the periods of 2004 – 2013. It selected by purposive sampling technique. Earning management is measured by short term discretionary accruals (STDA) and long term discretionary accruals (LTDA), while good corporate governance variable proxy is scored by Corporate Governance Perception Index (CGPI). Data analysis used multiple linear regressions with moderating variables. Based on the Kolmogorov Smirnov test, data has normal distribution. The test for classic assumption showed that there are no multicolinearity, no heteroscedasticity and no auto correlation. The results showed information asymmetry (t = 4,271) and good corporate governance (t = 4,408) have effect on earning management with short term discretionary accruals (STDA) model. Beside that good corporate governance (t = -4,156) mediates the effect of information asymmetry on earning management. Then, based on long term discretionary accruals (LTDA) model, the analysis showed that information asymmetry (t = -2,236) and good corporate governance (t = -2,743) have effect significantly on earning management. Finnaly, good corporate governance (t = 2,161) also mediates the effect of information asymmetry on earning management.
Hydrogen peroxide in the upper tropical troposphere over the Atlantic Ocean and western Africa during the CAFE-Africa aircraft campaign

This study focuses on the distribution of hydrogen peroxide (H 2 O 2 ) in the upper tropical troposphere at altitudes between 8 and 15 km based on in situ observations during the Chemistry of the Atmosphere – Field Experiment in Africa (CAFE-Africa) campaign conducted in August–September 2018 over the tropical Atlantic Ocean and western Africa. The measured hydrogen peroxide mixing ratios in the upper troposphere show a nearly uniform latitudinal distribution with locally 15 increased levels (up to 1 ppb v ) within the Intertropical Convergence Zone (ITCZ), over the African coastal area, as well as during measurements performed in proximity of the tropical storm Florence (later developing into a hurricane), indicating the influence of convective transport processes. The measurements are compared to observation-based photostationary steady-state (PSS) calculations and numerical simulations by the global EMAC model. North of the ITCZ, PSS calculations produce lower H 2 O 2 mixing ratios relative to the observations. Here observed mixing ratios exceed the PSS calculations by up to a 20 factor of 2. On the other hand, PSS calculations overestimate the H 2 O 2 mixing ratios south of the ITCZ by a factor of up to 3. HO 2 /OH the production of OH in the on the of HO 2 below 4 km. A similar calculation based solely on EMAC data indicates a contribution of 0.6–0.8 % within the model (based on EMAC mixing ratios of 2.1–3.0 ppb v ). Thus, although EMAC reproduces potential transport processes from the lower troposphere, the discrepancy in the transmission efficiencies indicates a smaller 450 contribution to the simulated hydrogen peroxide levels. Consequently, the enhanced hydrogen peroxide mixing ratios cannot be justified exclusively by photochemical reactions within the upper troposphere. Additional injections from the lower troposphere via convective transport and the subsequent redistribution towards the subtropics have to be considered.
Folklore Theorems, Implicit Maps and New Unit Root Limit Theory

The delta method and continuous mapping theorem are among the most extensively used tools in asymptotic derivations in econometrics. Extensions of these methods are provided for sequences of functions, which are commonly encountered in applications, and where the usual methods sometimes fail. Important examples of failure arise in the use of simulation based estimation methods such as indirect inference. The paper explores the application of these methods to the indirect inference estimator (IIE) in first order autoregressive estimation. The IIE uses a binding function that is sample size dependent. Its limit theory relies on a sequence-based delta method in the stationary case and a sequence-based implicit continuous mapping theorem in unit root and local to unity cases. The new limit theory shows that the IIE achieves much more than bias correction. It changes the limit theory of the maximum likelihood estimator (MLE) when the autoregressive coefficient is in the locality of unity, reducing the bias and the variance of the MLE without affecting the limit theory of the MLE in the stationary case. Thus, in spite of the fact that the IIE is a continuously differentiable function of the MLE, the limit distribution of the IIE is not simply a scale multiple of the MLE but depends implicitly on the full binding function mapping. The unit root case therefore represents an important example of the failure of the delta method and shows the need for an implicit mapping extension of the continuous mapping theorem.
The role of sarcopenia in treatment-related outcomes in patients with renal cell carcinoma: A systematic review and meta-analysis

Background: in recent years, more attention has been paid to the fuzzy relationship between skeletal muscle components and renal cell carcinoma (RCC). This study attempts to conduct a meta-analysis using all relevant research evidence to explore the impact of sarcopenia on the final survival and recurrence outcome of RCC patients and the change process of this impact after treatment. Methods: This systematic review and Meta-analysis study took “sarcopenia”, “kidney” and “tumor” and their synonyms as the main search terms, and comprehensively searched all relevant literatures published in PubMed, web of science, SpringerLink, EMBASE, Cochrane Library, Ovid (Lww oup), Wiley, ScienceDirect and Scopus databases since February 2, 2022. Multivariate hazard ratio (HR) and 95% confidence interval (CI) of overall survival (OS), cancer specific survival (CSS), and progression free survival (PFS), as well as rough data of Kaplan–Meier survival curve, were combined as the main analysis results. Subgroup analyses based on cohort characteristics (treatment, ethnicity, and BMI factors) for each study were used as secondary outcomes. The combined effect was estimated by random effect model or fixed effect model, and the heterogeneity was evaluated by I2 value. Because this study belongs to secondary literature, the medical ethics committee of the First Affiliated Hospital of Xinjiang Medical University considers that ethical review is unnecessary. Results: Eighteen retrospective studies involving 3591 patients with RCC were analyzed, of which 71.5% were men and the median age of the cohort was 61.6. The prevalence of sarcopenia was 43% (38–48%). Sarcopenia is an independent predictor of OS (HR: 1.83, 95% CI = [1.41, 2.37]), and this prognostic value can also be reflected in Asian populations (HR: 2.59, 95% CI = [1.90, 3.54]) and drug treated patients (HR: 2.07, 95% CI = [1.07, 4.04]). Sarcopenia can also be used as an independent predictor of CSS (HR: 1.78, 95% CI = [1.34, 2.36]) and PFS (HR: 1.98, 95% CI = [1.34, 2.92]). The effect of low skeletal muscle mass on OS and CSS increased slowly from 1 to 5 years. Conclusion: Sarcopenia can be used as a comprehensive prognostic factor in RCC population, but the detailed effects from ethnic characteristics and treatment mechanism need to be further studied.
Cognitive-behaviour intervention for critical thinking disposition of religion and social science students

Background: The dispositions of students towards critical thinking (CT) no doubt improve their clinical practice and performance. Hence, efforts to explore ways to help students become aware and conscious of the need for CT are imperative for their self-actualization, development, and improved professional practice. It is worrisome that in spite of the limited intervention addressing CT disposition challenges, scholars are yet to study the problem, especially in developing countries. Methods: In view of that, we assessed how CT disposition can be improved among students enrolled in cognitive-behavioral reflective training programme (CBRT-P) using a group-randomized control study with three months follow-up. To achieve this, 163 students were allocated to different groups. The recruited participants were exposed to CBRT-P. Results: Repeated-measures analysis performed shows that at the posttest, the mean CT disposition scores of the participants enrolled in CBRT-programme (treatment group) were significantly greater compared to the counterpart group that is the comparison group. At the third assessment, the mean score of the dependent measure consistently remained higher in favor of the experimental group. Conclusion: Given the results, it is concluded that the treatment programme improves the CT disposition of students over time.
Cervical repetitive peripheral magnetic stimulation relieves idiopathic persistent hiccups: A preliminary study of case report

Objective: We postulated that repetitive peripheral magnetic stimulation (rPMS) might treat idiopathic persistent hiccups. This study aimed to determine the clinical effect of rPMS on hiccup alleviation. Methods: Seven patients with idiopathic persistent hiccups experienced the cervical rPMS session (1 Hz, 656 stimuli) in this prospective clinical series from November 2018 to May 2021. The rPMS session was applied once daily until the hiccups were utterly relieved. During the treatment, the round coil was transversally positioned over the upper nape area, and the center of the coil was placed at the level of the C4 vertebrae. The subjective assessment scale (SAS) scores and the hiccup frequency were assessed before and after rPMS treatment. Results: A total of 7 patients were enrolled. All were male post-stroke patients ([mean ± SD] age, 58.5 ± 9.85 years) with dysphasia, 3 patients (3/7) were fed with a nasogastric tube, and 4 patients (4/7) were with dysarthria. The mean duration of hiccups was 4.14 ± 3.63 days (range 2–12 days). The rPMS therapy eliminated hiccups in all 7 patients. The mean sessions which stopped hiccupping were 3.43 ± 2.57 (range 1–9). The mean value of the SAS scores before rPMS therapy was 7 ± 1 (range 6–8), and it was decreased to zero after the therapy (0). No recurrence of hiccups was observed within 2 weeks of the last rPMS session. rPMS therapies were not associated with severe adverse effects. Conclusion: The cervical rPMS therapy is beneficial in treating idiopathic persistent hiccups, particularly in post-stroke patients.
Acupuncture for metabolic syndrome: A protocol for systematic review and meta-analysis

Background: Metabolic syndrome (MS) is showing an epidemic trend worldwide, and its annual incidence is increasing. Conventional treatment options have limitations and it is necessary to develop new management strategies for MS. Methods: Eligible randomized controlled clinical trials (RCTs) were screened by searching multiple Chinese and English databases. References to the included literature, gray literature in OpenGrey, and other relevant literature, such as clinical studies registered in ClinicalTrials.gov, were also manually searched. Relevant data were extracted, and meta-analysis was performed using Reviewer Manager 5.4. Results: This study provides a high-quality review of the efficacy and safety of acupuncture in the treatment of MS, and provides a basis for the clinical application of acupuncture in the treatment of MS. Conclusion: This study provides evidence of the effectiveness and safety of acupuncture in the treatment of MS.
GW170817: implications for the local kilonova rate and for surveys from ground-based facilities

We compute the local rate of events similar to GRB 170817A, which has been recently found to be associated with a kilonova (KN) outburst. Our analysis finds an observed rate of such events of R$_{KN}\sim 352^{+810}_{-281}$ Gpc$^{-3}$yr$^{-1}$. After comparing at their face values this density of sGRB outbursts with the much higher density of Binary Neutron Star (BNS) mergers of 1540$^{+3200}_{-1220}$ Gpc$^{-3}$yr$^{-1}$, estimated by LIGO-Virgo collaboration, one can conclude, admittedly with large uncertainty that either only a minor fraction of BNS mergers produces sGRB/KN events or the sGRBs associated with BNS mergers are beamed and observable under viewing angles as large as $\theta$ $\leq$ $40^{\circ}$. Finally we provide preliminary estimates of the number of sGRB/KN events detected by future surveys carried out with present/future ground-based/space facilities, such as LSST, VST, ZTF, SKA and THESEUS.
Relationship between osteoporosis and Cushing syndrome based on bioinformatics

Background: Many clinical studies have reported a relatively high incidence of osteoporosis and fragility fractures in patients with Cushing syndrome (CS). However, few papers have investigated osteoporosis and CS in terms of pathogenesis, so this study explores the association between the 2 and predicts upstream micro-ribonucleic acids (miRNAs) through bioinformatics, which provides potential targets for simultaneous pharmacological interventions in both diseases and also provides a basis for pathological screening. Methods: We used Genecards, Online Mendelian Inheritance in Man and Therapeutic Target Database databases to screen the targets of osteoporosis and Cushing syndrome; import target genes to Database for Annotation, Visualization and Integrated Discovery for Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis; the intersecting genes were uploaded to Search Tool for the Retrieval of Genes and Genomes database to construct protein–protein interaction network; Cytoscape software was used to screen core genes, and Molecular Complex Detection module was used to analyze cluster modules; finally, the NetworkAnalyst data platform was used to predict the miRNAs that interact with core genes. Results: The core genes of osteoporosis and Cushing syndrome were insulin, tumor necrosis factor, signal transducer and activator of transcription 3 (STAT3), interleukin-6, insulin-like growth factor 1, etc. A total of 340 upstream miRNAs including hsa-let-7a-5p, hsa-mir-30a-5p and hsa-mir-125b-5p were predicted. The biological processes involved include regulating the transcription of ribonucleic acid polymerase II promoter and participating in the transduction of cytokine signaling pathways, which focus on the binding of nerve system ligand, JAK-STAT signaling pathway, Rap1 signaling pathway, PI3K-Akt signaling pathway, etc. Conclusion: Osteoporosis and Cushing syndrome are closely related in terms of targets and molecular mechanisms. In this study, bioinformatics methods were used to identify their targets and mechanisms, providing potential targets for drug simultaneous regulation of the 2 diseases, and providing a new direction for exploring the relationship between diseases.
Exploring novel independent prognostic biomarkers for hepatocellular carcinoma based on TCGA and GEO databases

Background: Hepatocellular carcinoma (HCC) has become the fifth most common cancer globally, with the second-highest mortality rate and poor survival outcomes. In our research, we aimed to use The Cancer Genome Atlas and gene expression omnibus databases to identify potential genetic biomarkers to predict and improve the survival rate of HCC patients. Methods: In GSE60502, GSE76427, and GSE84402, we performed differential expression analysis to obtain differentially expressed genes (DEGs). In the The Cancer Genome Atlas database, the FPKM expression profile was subjected to weighted gene co-expression analysis to obtain modules closely related to HCC. We received common genes by intersecting the genes in the module with the differential genes. Then, we fused the common genes’ expression profiles, survival time, and survival status for univariate, Least Absolute Shrinkage and Selection Operator, and multivariate COX regression analysis to obtain prognostic genes. Predictive genes were performed in K–M survival analysis and combined with clinical data for independent predictive analysis. Results: After differential expression analysis, GSE60502 obtained 1107 DEGs, GSE76427 obtained 424 DEGs, and GSE84402 obtained 1668 DEGs. Through weighted gene co-expression analysis analysis, we can see that the blue and brown modules were closely associated with HCC. After single and multivariate COX regression analysis, we found that suppressor of cytokine signaling 2 (SOCS2) and SERPINF2 were independent prognostic genes for HCC. After survival analysis, HCC patients with high expression of SOCS2 and SERPINF2 had a longer survival time. These 2 genes in normal liver tissues were higher than in HCC at the transcriptional level. Conclusion: SOCS2 and SERPINF2 were new independent prognostic genes of HCC. So, they may provide new treatment methods and measures for diagnosing HCC.
Integrative analyses of genes about venous thromboembolism: An umbrella review of systematic reviews and meta-analyses

Background: In recent years, many studies have found possible links between gene polymorphisms and venous thromboembolism (VTE). By identifying genetic risk factors before facing environmental risk factors such as surgical interventions and COVID-19 vaccination, we could rapidly respond to the risk of VTE. The aim of this study was to perform an umbrella review of genetic variants related to VTE. Integrative gene analysis of VTE was performed to identify critical genetic variations. Methods: This study conducted an umbrella review of systematic reviews and meta-analyses. All included studies were selected from the PubMed/MEDLINE database. To select eligible studies, the following variables were extracted: first author name; effect size of each study genetic variant; year of publication; the number of studies included in each article; ethnicity, sample size, P values, and heterogeneity estimates. To assess cumulative evidence in genetic epidemiology about effects of gene polymorphisms on VTE, Human Genome Epidemiology Network’s Venice criteria were used. Methodological quality assessment was conducted with JBI Critical Appraisal Checklist for Systematic Reviews and Research Syntheses. Results: Genes provided in the present study with genetic variants associated with VTE were FVL (G1691A), Prothrombin (G20210A), MTHFR (C677T, A1298C), PAI-1 (4G/5G), factor VII activating protease (1601G > A), and endothelial protein C receptor (g.6936A_G, c.4600A_G). Among them, variants in FVL, Prothrombin, MTHFR, and PAI-1 showed high significance. Particularly, variants in Prothrombin (G20210A), MTHFR (C677T), and PAI-1 (4G/5G) had more than 2 types of model significance. Conclusion: The present study performed a systematic review of genetic variants associated with VTE. Our results could lead to a more comprehensive understanding of VTE etiology. These results could give a strategy of prediagnosis about evaluating individual risks of VTE who might be exposed to environmental risk factors.