The Snapshot of Human Trafficking: Humans as Commodities

The aim of the paper is to identify the main dynamics and the parameters of human trafficking which is one of the most urgent political challenges of our time. As defined by many authorities, human trafficking is a kind of non-institutional slavery including trafficking of sex, forced labour, domestic and involuntary servitude and so forth. Furthermore, human trafficking is resistant to abolition and actually difficult to combat. Nevertheless, it will be quite useful to have a general overview about the main parameters of human trafficking including the definitions, reasons, solutions and so forth for the ultimate solution

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IT2-based fuzzy hybrid decision making approach to soft computing

WOS: 000459347800001This aims to evaluate the risk appetite of the financial investors in emerging economies using an integrated interval type-2 fuzzy model. For this purpose, eight different criteria are identified with the supporting literature. The interval type-2 fuzzy DEMAYEL approach is used to weight these criteria regarding the importance level. In addition, investors are classified into three different groups with respect to the risk appetite which are the aggressive/risk taker, moderate/risk neutral, and conservative/risk averse. Moreover, the interval type-2 fuzzy QUALIFLEX methodology is taken into consideration to rank these investor groups. The novelty of this paper is to propose a hybrid fuzzy decision-making approach to the investors' risk appetite based on the interval type-2 fuzzy sets. The findings show that aggressive investors play the most important role in emerging economies. Therefore, financial products, which offer high returns, should be developed to attract the attention of these aggressive investors. Owing to this aspect, it can be possible for emerging economies to improve their financial systems

Law and Nonlegal Norms in Government Lawyers\u27 Ethics: Discretion Meets Legitimacy

This Essay is about the role of unwritten norms in the ethical decisionmaking of government lawyers. Because the ethical obligations of lawyers, including government lawyers, are closely tied to the legal rights and obligations of clients, this analysis necessarily depends on understanding the relationship between written law and unwritten norms. As we all know, however, written law leaves gaps, ambiguities, and zones of unregulated discretion. Prosecutors in the United States, for example, have virtually unreviewable discretion to decide who to investigate and charge, what charges to bring, and whether to offer immunity in exchange for cooperation. No one has a legal entitlement not to be prosecuted, nor does anyone else—official or private citizen—have the power to compel a prosecutor to bring charges. The president possesses nearly unconstrained discretion to grant clemency to people convicted of criminal offenses. The impeachment power of Congress is constrained only by the Constitution’s requirement that the president be charged with certain enumerated offenses, including the open-ended phrase “high Crimes and Misdemeanors.” In other areas, a government official may possess the legal authority to do something but may nevertheless be criticized for exercising that authority contrary to standards that are not reducible to positive law. The question is, what standards, norms, or ethical values, if any, constrain the actions of lawyers advising government officials who exercise their power within discretionary unwritten areas of the law? In other words, is there a type of official discretion that is distinguishable from the exercise of raw power or whimsical decision-making, despite being unconstrained by positive law? If so, what is its relationship to positive law and its claim to legitimate authority

Identifying causality relationship between energy consumption and economic growth in developed countries

The main purpose of this study is to evaluate the causality relationship between energy consumption and economic growth for developed countries. Within this context, annual data of 22 developed countries was examined by using Dumitrescu Hurlin panel causality analysis. As a result, it was determined that that there is a bidirectional relationship between energy consumption and economic improvement for developed countries. This condition provides two different results. Firstly, energy consumption has an influence on economic development for these countries. While considering this result, it can be said that any limitation in energy consumption will restrict economic growth. Moreover, it was also concluded that level of economic growth is the main reason of energy consumption for developed countries. In other words, developed countries tend to have more energy consumption when their economies are growing.peer-reviewe

Core-collapse astrophysics with a five-megaton neutrino detector

The legacy of solar neutrinos suggests that large neutrino detectors should be sited underground. However, to instead go underwater bypasses the need to move mountains, allowing much larger water Čerenkov detectors. We show that reaching a detector mass scale of ~5 Megatons, the size of the proposed Deep-TITAND, would permit observations of neutrino “mini-bursts” from supernovae in nearby galaxies on a roughly yearly basis, and we develop the immediate qualitative and quantitative consequences. Importantly, these mini-bursts would be detected over backgrounds without the need for optical evidence of the supernova, guaranteeing the beginning of time-domain MeV neutrino astronomy. The ability to identify, to the second, every core collapse in the local Universe would allow a continuous “death watch” of all stars within ~5  Mpc, making practical many previously-impossible tasks in probing rare outcomes and refining coordination of multiwavelength/multiparticle observations and analysis. These include the abilities to promptly detect otherwise-invisible prompt black hole formation, provide advance warning for supernova shock-breakout searches, define tight time windows for gravitational-wave searches, and identify “supernova impostors” by the nondetection of neutrinos. Observations of many supernovae, even with low numbers of detected neutrinos, will help answer questions about supernovae that cannot be resolved with a single high-statistics event in the Milky Way

Balanced scorecard-based performance assessment of Turkish banking sector with the Analytic Network Process (ANP)

In the last decade, Performance assessment of banking sectors in advanced economies became a prominent issue investment decision. This paper aims to evaluate the balanced-scorecard-based performance of the Turkish banking sector using the Analytic Network Process Approach. Within this scope, all 33 deposit banks were intended to analyze out of 34 banks. Within this scope, we made an analysis in order to determine which perspectives of the balanced scorecard approach are appropriate for each type of bank (state banks, private banks, foreign banks). In this study, we used Analytic Network Process (ANP) approaches so as to achieve this objective. With a balanced-scorecard performance assessment of the banking sector using the ANP approach, all the factor priorities have been extracted and normalized to one for each cluster and final priorities have been obtained. The final priorities and rankings of each perspective of the balanced scorecard and the type of bank ownership have been assessed in the model. According to the results of the analysis, Findings demonstrate that (i) financial factor of balanced scorecard approach has the first rank with 65.7 percent; (ii) Customer perceptive is in the second rank with 22.1 percent. (iii)Third and fourth ranks have close results, (iv) learning and growth stay in the third rank with 6.3 percent (v) internal factor has the weakest importance with 5.9%, (vi) state banks into bank ownership have the highest rank with 53.9 percent, (vii) Private owned banks are the second in the relative performance of the bank groups with 36.1%, (viii) Balanced scorecard based performance of foreign banks are replaced in the last order with approximately 10%

Determining influencing factors of currency exchange rate for decision making in global economy using MARS method

The aim of this study is to identify the determinants of US Dollar/Turkish Lira currency exchange rate for strategic decision making in the global economy. Within this scope, quarterly data for the period between 1988:1 and 2016:2 was used in this study. In addition to this aspect, 10 explanatory variables were considered in order to determine the leading indicators of US Dollar/Turkish Lira currency exchange rate. Moreover, Multivariate Adaptive Regression Splines (MARS) method was used so as to achieve this objective. According to the results of this analysis, it was defined that two different variables affect this exchange rate in Turkey. First of all, it was identified that there is a negative relationship between current account balance and the value of US Dollar/Turkish Lira currency exchange rate. This result shows that in case of current account deficit problem, Turkish Lira experiences depreciation. Furthermore, it was also concluded that when there is an economic growth in Turkey, Turkish Lira increases in comparison with US Dollar. While taking into the consideration of these results, it could be generalized that emerging economies such as Turkey have to decrease current account deficit and investors should focus on higher economic growth in order to prevent the depreciation of the money in the strategic investment decision

Analysis of financial development and open innovation oriented fintech potential for emerging economies using an integrated decision-making approach of MF-X-DMA and golden cut bipolar q-ROFSs

The purpose of the paper is to identify the factors of financial development that have the greatest impact on open innovation in 7 emerging countries. The analysis was performed featuring the MF-X-DMA method, as well as its further verification for autocorrelation and heteroscedasticity. The time period covers years from 2002 to 2020. The article states that the main indicators to improve financial development should enhance the process of bank lending and equity market development. An important area is the development of competition by providing equal access to information to all market participants in a continuously refining technical infrastructure. Regression analysis with the MF-X-DMA method confirms the statistical significance of this influence. The article fills the knowledge gap into the link between open innovations and the relatively low capitalization of the modern emerging countries’ financial market, low liquidity in small cap stocks at the financial market and concentration of the banking sector, as well as risks arising in the process of globalization. Another analysis has also been conducted by generating a novel fuzzy decision-making model. In the first stage, the determinants of open innovation-based fintech potential are weighted for the emerging economies. For this purpose, M-SWARA methodology is taken into consideration based on bipolar q-ROFSs and golden cut. The second stage of the analysis includes evaluating the emerging economies with the determinants of open innovation-based fintech potential. In this context, emerging seven countries are examined with ELECTRE methodology. It found the most significant factor is the open innovation-based fintech potential