Building the Resilient Indonesia’s Education in Pandemic Era: Lessons from Taiwan and the United States

The aim of the study is to analyze the measures from Taiwan and the United States that responded to the Covid-19 in high education institutions. The method that was conducted in this study is qualitative with a narrative review as a data technique. Data collected from reviewed the relevant literature that meets inclusion criteria as the primary object. The descriptive qualitative analysis technique was used. The result of this study concludes that some measures from Taiwan and United States can be matched according to the characteristic in Indonesia. These two countries provide several lessons in tackling the Covid-19 problem in the education sector by preventing the transmission since the beginning, taking mitigation steps to reduce the speed of the spread of the virus, applying clear regulations and guidelines in various fields of life including education, and have a sense of sensitivity to relaxed and tightened of regulations.

The Challenges Ahead for Multimessenger Analyses of Gravitational Waves and Kilonova: A Case Study on GW190425

In recent years, there have been significant advances in multimessenger astronomy due to the discovery of the first, and so far only confirmed, gravitational wave event with a simultaneous electromagnetic (EM) counterpart, as well as improvements in numerical simulations, gravitational wave (GW) detectors, and transient astronomy. This has led to the exciting possibility of performing joint analyses of the GW and EM data, providing additional constraints on fundamental properties of the binary progenitor and merger remnant. Here, we present a new Bayesian framework that allows inference of these properties, while taking into account the systematic modeling uncertainties that arise when mapping from GW binary progenitor properties to photometric light curves. We extend the relative binning method presented in Zackay et al. to include extrinsic GW parameters for fast analysis of the GW signal. The focus of our EM framework is on light curves arising from r-process nucleosynthesis in the ejected material during and after merger, the so-called kilonova, and particularly on black hole−neutron star systems. As a case study, we examine the recent detection of GW190425, where the primary object is consistent with being either a black hole or a neutron star. We show quantitatively how improved mapping between binary progenitor and outflow properties, and/or an increase in EM data quantity and quality are required in order to break degeneracies in the fundamental source parameters.

The Yoga Studies Dispositif

In this paper I provide a preliminary account of the Yoga Studies Dispositif, that is, that specific apparatus of knowledge production, legitimization, and dissemination that has allowed the birth and development of the discipline of “modern yoga research” as an autonomous field of study and, in turn, has asserted the study of modern forms of yoga as its primary object of inquiry. More specifically, and in line with the constructionist epistemology taken by the “discursive study of religion” approach, I focus on the processes of boundary-work and boundary-object creation of modern yoga research and argue that these are the most influential discursive strategies adopted in the formation of this new discipline. Following on this premise, I contend that similar processes of demarcation and conceptual production are also pivotal to the birth and development of other sub-disciplines within the study of religion.

The Cosine-Sine Functional Equation on Semigroups

The primary object of study is the “cosine-sine” functional equation f(xy) = f(x)g(y)+g(x)f(y)+h(x)h(y) for unknown functions f, g, h : S → ℂ, where S is a semigroup. The name refers to the fact that it contains both the sine and cosine addition laws. This equation has been solved on groups and on semigroups generated by their squares. Here we find the solutions on a larger class of semigroups and discuss the obstacles to finding a general solution for all semigroups. Examples are given to illustrate both the results and the obstacles. We also discuss the special case f(xy) = f(x)g(y) + g(x)f(y) − g(x)g(y) separately, since it has an independent direct solution on a general semigroup. We give the continuous solutions on topological semigroups for both equations.

21. Damages for death and personal injuries

This chapter examines various issues in relation to damages in tort, beginning by looking at the principles that lie behind damages awards. The primary object of the law is to compensate those who have been harmed by another’s wrongdoing by making an award that seeks to put the claimant into the position that they would have been in had the harm not occurred. The chapter discusses the calculation and forms of damage payments, and special and general damages; independent, joint and several concurrent liabilities; time limitations on claims; the problem with damages; and debunking the compensation culture myth.

How the COVID-19 Pandemic Affected Antimicrobial Prescribing Practices at a Tertiary-Care Healthcare System in Detroit, Michigan

Background: Inappropriate antimicrobial use continues to threaten modern medicine. The ongoing pandemic likely exacerbated this problem because COVID-19 presents similarly to bacterial pneumonia, confusion exists regarding treatment guidelines, and testing turnaround times (TATs) are slow. Our primary object was to quantify antimicrobial use changes during the pandemic to rates before the crisis. A subanalysis within the COVID-19 cohort was completed based on SARS-CoV-2 status. Methods: The pre–COVID-19 period was January–May 2019 and the COVID-19 period was January–May 2020. Subanalyses were used to explore differences in antibiotics use between persons not under investigation (non-PUIs), SARS-CoV-2–negative PUIs, and SARS-CoV-2–positive PUIs. Non-PUI patients were those without respiratory symptoms and/or fever. The χ2 and Wilcoxon signed rank-sum tests were used for analysis. Results: During the 2019 and 2020 study periods, 7,909 and 7,283 patients received >1 antimicrobial, respectively (Figure 1). Overall, antibiotic therapy per 1,000 patient days increased from 633.1 before COVID-19 to 678.5 during COVID-19, a 7.2% increase (Table 1). Notably, broad-spectrum respiratory antibiotics demonstrated a significant increase between pre–COVID-19 and COVID-19 cohorts (p < 0.001). Of the 7,283 patients within the COVID-19 cohort, 34.7% (n = 2,532) were PUI and 13.8% (n = 1,002) of these patients tested SARS-CoV-2 positive. Again, broad-spectrum respiratory antibiotics use was significantly increased for COVID-19 patients (p < 0.001). Of note, the proportion of patients receiving respiratory antibiotics steadily decreased over time (R2 = 0.99). Conclusions: There was a significant increase in antibiotic use during the COVID-19 pandemic. Encouragingly, antimicrobial use decreased over time, likely due to (1) faster TATs, (2) real-time education to clinicians and subsequent de-escalation of unnecessary antimicrobials, and (3) development of treatment guidelines as new research emerged.Funding: NoDisclosures: None

Forecasting Gold Prices in India using Time series and Deep Learning Algorithms

The primary object of this paper is to compare the traditional time series models with deep learning algorithm. The ARIMA model is developed to forecast Indian Gold prices using daily data for the period 2016 to 2020 obtained from World Gold Council. We fitted the ARIMA (2,1,2) model which exhibited the least AIC values. In the meanwhile, MLP, CNN and LSTM models are also examined to forecast the gold prices in India. Mean absolute error, mean absolute percentage error and root mean squared errors used to evaluate the forecasting performance of the models. Hence, LSTM model superior than that of the other three models for forecasting the gold prices in India.

Precedent phenomena of the contemporary russian and spanish mass media as cognitive structures of a linguistic identity

The present study is important since precedent phenomena, transmitting both traditional and newly created cultural values, are more widely represented in the mass media language. The paper suggests a cognitive approach aimed at identifying the role of knowledge (linguistic, non-linguistic, individual) in forming the precedent unit meaning, being the primary object of research in cognitive science. Examples of universal precedent names (Napoleon, Cinderella, Don Quixote, Adam) suggest that they store culturally valued (thematized) and implicit knowledge shared by communicants. Studying the binary structures (designator/designatum) of a concept defines the development dynamics of the precedent name’s meaning, relevant changes in structure of the core components of meaning, desemantization of the precedent name. Different Russian and Spanish interpretations show that prevailing content varies, and the language meaning of an invariant of universal precedent names reflects not the reality as such but the cognitive structures of a linguistic identity of a particular society.

Criminal Offences Against Life in the Criminal Code of the Republic of Slovenia

Crimes against life are regulated together with crimes against body in Chapter Fifteen of the Criminal Code. The object of criminal law protection is life of a human being. Life of a human being as the most important good protected by criminal law is also protected in cases where the death of an injured party occurs as a result of a crime whose primary object of protection is another good. Fortunately, there are not many criminal offences against life in the Republic of Slovenia. The author finds the regulation of crimes against life to be appropriate. Infanticide is an exception. Infanticide as a privileged form of the crime of manslaughter should, in view of the author, be eliminated, as today circumstances that have guided the legislator in defining a privileged form of manslaughter no longer exist.