Kajian Teologis Kegagalan Pendangan Umum Yang Mengusung Yohanes Pembaptis Sebagai Mesias

Jesus asked his disciples, saying, “Whom do men say that I the Son of man am?” (Matt. 16:13, Mark. 8:27), then John the Baptist was the top answer, followed by Elijah, Jeremiah. This study uses a biblical study of the meaning of the whom do men say (general opinion) by using a qualitative writing method that is studied by biblical exegesis supported by various sources related to this research. Here it is found that public opinion greatly influences one's personal belief and confession of their faith in Jesus Christ. There is a meaning behind the rejection of Jesus' messiahship by carrying the popular John the Baptist figure. Perhaps if he announced himself as the Messiah, and waged a rebellion against the Roman empire which was colonizing Israelit at that time, it would be inconceivable if that happened. Researchers found the answer that the importance of personal spiritual experience closely with God between times when the truth became unpopular. By adhering to the Word of God, the Church of God can stand firm which is built on a solid rock foundation (Petra), namely Jesus Himself.

Professional reliability of engineering: ratio of research approaches

The article deals with the problem of professional reliability and efficiency. The prerequisites for the development of grounds for the study of this psychological category on the example of engineering specialties are indicated. Special attention is paid to laying of structure of professionally important qualities and professional competences (knowledge, abilities, skills) at a stage of vocational education in a higher educational institution. A number of labor fields are given, for whose specialists this characteristic is especially significant. An attempt is made to clarify the criteria for the professional reliability of an organization employee in the work of domestic scientists. It has been established that psychophysiological, individual-psychological, personal and moral parameters are most often mentioned. The methods most often used by numerous authors in revealing the mechanisms of reliability of activity within the framework of labor psychology are listed. It is noted that the initial achievements were carried out on professional activities related to the operation of complex technical means and systems (engineering). Lists the traditional types of engineering activities and modern trends in the dynamics of engineering professions. Based on theoretical analysis and the professional method, universal psychological reliability indicators are derived for engineers of different professional orientations. On the basis of the center for psychological support of the Tver State Technical University, psychodiagnostic tools are selected and the corresponding student contingent (students in technical areas) are examined. The results of the study are described and conclusions are formed. A general opinion on the article is drawn up.

A Research on the Etymology of Dravidam (Dravidianism)

There have been numerous critics found in Tamil Nadu since the introduction of the phrase ‘Dravidam’ (Dravidianism). The criticism on ‘Dravidam’ was at its peek when DK (Dravida Kazhagam), Dravida Nadu, DMK (Dravida Munnetra Kazhagam), were very popular among the masses of Tamil Nadu. There is a general opinion that Bishop Robert Caldwell was the first to use the word Dravidam. There are also stories saying Dravidam is not Tamil and Dravidians are not Tamils. Therefore, it is natural for anyone to question the verity of Dravidam. Is Dravidam an illusion? Or is it a fabricated story? With these questions in my mind I started researching the Sangam Literature and the historical documents extensively. I have found a plethora of evidence confirming Dravidam and Tamil are not different. Dravidam is Tamil and Tamil is Dravidam

Measuring information flux between social media and stock prices with Transfer Entropy

Transfer Entropy was applied to analyze the correlations and flow of information between 200,500 tweets and 23 of the largest capitalized companies during 6 years along the period 2013-2018. The set of tweets were obtained applying a text mining algorithm and classified according to daily date and company mentioned. We proposed the construction of a Sentiment Index applying a Natural Processing Language algorithm and structuring the sentiment polarity for each data set. Bootstrapped Simulations of Transfer Entropy were performed between stock prices and Sentiment Indexes. The results of the Transfer Entropy simulations show a clear information flux between general public opinion and companies’ stock prices. There is a considerable amount of information flowing from general opinion to stock prices, even between different Sentiment Indexes. Our results suggest a deep relationship between general public opinion and stock prices. This is important for trading strategies and the information release policies for each company.

The image of contemporary architecture of Wrocław depicted in recent tourist commercial and Internet media

The aim of the paper is to present the tourist and image potential of contemporary public architecture. Wrocław was chosen as the research subject, as it is a historical center with an extremely rich architectural heritage, which has enjoyed great interest among visitors for centuries. With the announcement of Wrocław as the European Capital of Culture 2016, and then the European Best Destination in 2018, its attractiveness increased significantly, which was reflected not only in the number of visitors, but also in the advertising materials themselves. Both before and after arrival, millions of tourists encounter a multitude of various advertising forms, both virtual and printed, which determine the direction of sightseeing and shape a specific image and perception of the city. In general opinion, Wrocław is considered a historic city, the most interesting places of which are concentrated around the Old Town and Ostrów Tumski. The Centennial Hall, built at the beginning of the 20th century, stands out from the „newer heritage”. The idea of the study, however, was to answer the question whether contemporary architecture is used in any way in the current tourist advertisement of the city. Another goal was to identify and list the most frequently appearing objects from the adopted group, and to analyze the manner of their presentation. Based on the collected materials, efforts were made to assess the role of the media in creating a tourist product in terms of promoting local architecture in recent years. At the same time, an attempt was made to evaluate the role of architecture in creating the city’s progressive brand. In the research, the author used the method of analyzing the existing statistical data, iconographic research and the method of analyzing the content of advertising materials, as well as scientific studies on cultural heritage and tourism in the city. The final part of the paper shows that modern architecture can be a significant element increasing the tourist attractiveness of the city.

Oxidation of Terpenoids to Achieve High-Value Flavor and Fragrances—Questioning Microalgae Oxidative Capabilities in the Biotransformation of the Sesquiterpene Valencene and of Selected Natural Apocarotenoids

Natural flavor and fragrance market size is expected to grow steadily due to the rising consumer demand of natural ingredients. This market request is guided by the general opinion that the production of natural compounds leads to a reduction of pollution, with inherent advantages for the environment and people’s health. The biotransformation reactions have gained high relevance in the production of natural products. In this context, few pieces of research have described the role of microalgae in the oxidation of terpenoids. In this present study, we questioned the role of microalgal based oxidation in the synthesis of high-value flavors and fragrances. This study investigated the role of three different microalgae strains, Chlorella sp. (211.8b and 211.8p) and Chlorococcum sp. (JB3), in the oxidation of different terpenoid substrates: α-ionone, β-ionone, theaspirane and valencene. Unfortunately, the experimental data showed that the microalgal strains used are not responsible for the substrate oxidation. In fact, our experiments demonstrate that the transformation of the four starting compounds is a photochemical reaction that involves the oxygen as oxidant. Even though these findings cast a shadow on the use of these microorganisms for an industrial purpose, they open a new possible strategy to easily obtain nootkatone in a natural way by just using an aqueous medium, oxygen and light.

Sentiment Analysis on Twitter Airline Data

Sentiment analysis, also known as sentiment mining, is a submachine learning task where we want to determine the overall sentiment of a particular document. With machine learning and natural language processing (NLP), we can extract the information of a text and try to classify it as positive, neutral, or negative according to its polarity. In this project, We are trying to classify Twitter tweets into positive, negative, and neutral sentiments by building a model based on probabilities. Twitter is a blogging website where people can quickly and spontaneously share their feelings by sending tweets limited to 140 characters. Because of its use of Twitter, it is a perfect source of data to get the latest general opinion on anything.

Found in Translation

This chapter researches the reception of the crucial sentence in Aristotle’s Nicomachean Ethics 3.5, 1113b7–8 about that which is up to us (eph’hēmin), the philosophical significance of which is the topic of the previous chapter. This sentence has markedly shaped both scholarly and general opinion with regard to Aristotle’s theory of free will. In addition, it has taken on a curious life of its own. Part One of the chapter examines the text itself. Part Two explores its reception from antiquity to the present day, including present-day popular culture, later ancient, Byzantine, Arabic, Latin Medieval, Renaissance, Victorian, and contemporary scholarship, and how it influenced the interpretation of Aristotle’s view on free will. There are some surprises on the way. (The paper also serves as an introduction to the reception of the Nicomachean Ethics from its beginnings to the present.)

Sentiment Analysis of COVID-19 Vaccination from Survey Responses in Bangladesh.

Objectives: The COVID-19 pandemic is among the most serious global threats, and it is still a significant concern. The people of Bangladesh are undergoing one of the world's largest vaccination drive. With the recent launch and introduction of the COVID-19 vaccines, many of us are curious about the general opinion or view of the vaccine. While the vaccine has ignited new hope in the battle against COVID-19, it has also sparked militant anti-vaccine campaigns, so the need to analyze public opinion on the COVID-19 vaccine has emerged. Methods: Traditional machine learning methods were used to obtain a benchmark result for the experiment. The recurrent neural network (RNN) algorithm was used next. Several different types of recurrent neural networks were used, including simple RNNs, Gated Recurrent Units (GRUs), and LSTMs. Finally, to achieve a more optimal result, small BERT models (Bidirectional Encoder Representations from Transformers) were used. Results: Upon study and testing on several models and methods, it can be seen that BERT model was the most accurate of the bunch, which was 84%. On the other hand, Naive Bayes was able to obtain an accuracy of 81%. Naive Bayes and BERT produced similar results in F1- Score, but the performance of Naive Bayes can improve as the dataset size grows. Conclusion: Knowing about public opinions on the COVID-19 vaccine is critical, and action must be taken to ensure that everybody understands the value of vaccination and that everybody receives the COVID-19 vaccine. Vaccination may help to develop immunity, which lowers the likelihood of contracting the disease and its consequences.

A new social conflict on globalisation-related issues in Germany? A longitudinal perspective

By drawing on the theoretical framework of the globalisation cleavage literature, we aim to assess the existence of a social conflict on globalisation-related issues among the German population. We argue that opinion polarisation and issue salience are the key conditions of a successful and sustainable political mobilisation of citizens, and thus of the emergence of a social conflict. Accordingly, we investigate (1) the extent to which globalisation-related issues have become salient among the German population and (2) the extent to which the German population has become polarised on these issues. Our study takes into account four globalisation-related issue domains: “Immigration”, “EU”, “Economic liberalism” and “Environment”. Our analysis of the salience of these issue domains among Germans from 1989 to 2017 points to a durable increase in issue salience for the problem of “Immigration”, and this, only since the 2015 European “migrant crisis”. By contrast, the salience of “Economic liberalism”, “Europe” and “Environment” has remained very low during the studied period and only shows peaks related to critical events that last for a short time. Regarding opinion polarisation, we observe overall stable attitudes on globalisation-related issues among the German population since the 1990s. We only detect a general opinion shift towards more positive attitudes concerning immigration and environment protection measures. We conclude that the necessary conditions of a globalisation social conflict are so far not met among the German population.