Real Issues Research Articles

The Change of TV Series Targeted Chinese Female Audiences and Its Reflection on the Women’s Movement in China

Chinese female audiences’ attitudes towards TV dramas have changed. They are no longer inclined to the romantic themes of idol dramas and criticize male characters in previous TV dramas. The current research on television dramas has not carried out special research from the perspective of female audiences. This research will supplement this research perspective and further explore the connection between the changes in female audiences’ consciousness and the Chinese women’s movement. This research will guide television workers to produce works that can better respond to the demands of female audiences, and inspire female audiences to be aware of women’s issues in real life expressed in television dramas, so as to further promote the development of the Chinese women’s movement. This research uses quantitative and qualitative research to analyze the changes in the genre of television dramas and the changes in audience evaluations, and concludes that female audiences have an increased awareness of feminism, and they are using social media to deal with misogyny, beautify men, and ignore women’s social value in television dramas.

Perspectives of High School Teachers on the Role of Values Education in the Curriculum: A Qualitative Study at Asir District, Saudi Arabia

The current study covets to investigate the perspectives of Saudi high school teachers on the role of values education in the curriculum in inculcating certain moral values among high school students in the Asir district. Also, the study purports to probe the degree to which the role of values education in the high school curriculum imbues unequivocal moral values among high school students from the perspectives of their teachers. The qualitative study method was employed by two researchers because qualitative research is a line of research that probes and stipulates a better understanding of real issues. Moreover, the two researchers adopted one of the most appropriate tools to attain the objectives of the study. It is an opinion poll of fourteen items concentrated on the perspectives of Saudi high school teachers in the Asir district. The study results showed that high school teachers perceive the high school curriculum as having a pivotal role in stilling values education and moral improvement among the students. The study results also displayed that values education is the most commonly responding and spontaneous and embedded in diurnal educational life with a focus on students’ diurnal behavior in high school, and relatively or usually unconsciously fulfilled.

Loop corrections in Minkowski spacetime away from equilibrium. Part I. Late-time resummations

Loop corrections to unequal-time correlation functions in Minkowski spacetime exhibit secular growth due to a breakdown of time-dependent perturbation theory. This is analogous to secular growth in equal-time correlators on time-dependent backgrounds, except that in Minkowski the divergences must not signal a real IR issue. In this paper, we calculate the late-time limit of the two-point correlator for different massless self-interacting scalar quantum field theories on a Minkowski background. We first use a late-time version of the in-in path integral starting in the vacuum of the free theory; in this limit, the calculation, including UV renormalization, reduces to that in in-out. We find linear or logarithmic growth in time, depending on whether the interaction strength is dimension-one or dimensionless, respectively. We next develop the Weisskopf-Wigner resummation method, that proceeds by demanding unitarity within a truncated Hilbert space, to calculate the resummed correlator and find that it gives an exact exponentiation of the late-time perturbative result. The resummed (unequal-time) correlator thus decays with an exponential or polynomial time-dependence, which is suggestive of ‘universal’ behavior that depends on the dimensions of the interaction strength.

Loop corrections in Minkowski spacetime away from equilibrium. Part II. Finite-time results

Loop corrections to finite-time correlation functions in quantum field theories away from equilibrium can be calculated using the in-in path integral approach. In this paper, we calculate the unequal-time two-point correlator for different massless self-interacting scalar quantum field theories on a Minkowski background, starting the field evolution at an arbitrary initial time. We find the counterterms that need to be added to UV-renormalize the result, including usual in-out counterterms in the dynamics and additional initial state counterterms that are required to cancel all UV divergences. We find that the late-time limit of the renormalized correlation function exhibits a linear or logarithmic growth in time, depending on whether the interaction strength is dimension-one or dimensionless, respectively. The late-time correlations match those obtained in our companion paper and, as shown there, the divergences do not indicate a real IR issue, consistent with what one would expect in Minkowski.

Practical Applications of Climate Risk and Real Estate Prices: What Do We Know?

In <b><i>Climate Risk and Real Estate Prices: What Do We Know?</i></b> from the October 2021 Special Real Estate Issue of <b><i>The Journal of Portfolio Management</i></b>, <b>Jim Clayton</b> of <b>York University</b> and <b>Steven Devaney</b>, <b>Sarah Sayce</b>, and <b>Jorn Van de Wetering</b>, all of the <b>University of Reading</b>, find that growing awareness of climate risks to real estate has had a sustained, if imprecise, effect on decision-making, including property pricing and lending practices. The authors analyze the connections between property values and extreme-weather events and climate risk. They review existing, often ambiguous, studies on climate risk’s effects on (primarily residential) property values and on associated real estate market activities. They then derive conclusions about how these risks, and perceptions thereof, may affect commercial property markets and investors. Because much of the existing research concerns the residential market and the mostly short-term impacts on pricing after weather events, more research is needed. Still, there are conclusions that real estate stakeholders can draw from the existing research: Property prices often modestly decline after weather events; climate change might have longer-term impacts on values, often depending on stakeholder beliefs; and sustained risk-mitigating government involvement might limit price declines in areas subject to increased climate risk.

An integrated optimization approach for passenger flow control strategy and metro train scheduling considering skip-stop patterns in special situations

In many special situations (epidemic, emergencies, large-scale events, etc.) of the metro, it is a considerably real issue on how to control passenger flow density and improve operational efficiency synchronously under the control requirements of specific the load factor. This paper aims to propose an integrated optimization approach for jointly researching passenger flow control and train scheduling with skip-stop patterns. Besides, the passenger dynamic demand and train occupancy rate are considered. A mixed integer programming model is formulated to minimize the unused capacity of trains and the total number of waiting passengers at platforms and outside stations. Through the comprehensive analysis of the relationship between passengers and trains, the numerical experiments are implemented in Beijing Metro Line 1 to illustrate the validity of the proposed method. Finally, discussion and comparison of the performance of integration optimization strategies with diverse scenarios are given. The results show that, under the optimized combination strategy, the average boarding rate of all stations can increase from 88.09% to 94.69% by the proposed approach, the number of waiting behaviors of passengers can be declined by 92.65%, and the average travel time of passengers can be reduced by 7.22%.

A Large-Scale Empirical Study of Real-Life Performance Issues in Open Source Projects

Software performance is a critical quality attribute that determines the success of a software system. However, practitioners lack comprehensive and holistic understanding of how real-life performance issues are caused and resolved in practice from the technical, engineering, and economic perspectives. This paper presents a large-scale empirical study of 570 real-life performance issues from 13 open source projects from various problem domains, and implemented in three popular programming languages, Java (192 issues), C/C++ (162 issues), and Python (216 issues). From the technical perspective, we summarize <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">eight</i> general types of performance issues with corresponding root causes and resolutions that apply for all three languages. We also identify available tools for detecting and resolving different types of issues from the literature. In addition, we found that 27% of the 570 issues are resolved by design-level optimization—coordinated revision of a group of related source files and their design structure. We reveal four typical design-level optimization patterns, including <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">classic design patterns</i> , <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">change propagation</i> , <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">optimization clone</i> , and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">parallel optimization</i> that practitioners should be aware of in resolving performance issues. From the engineering perspective, this study analyzes how test code changes in performance optimization. We found that only 15% of the 570 performance issues involve revision of test code. In most cases, the revised test cases focus on the functional logic of the performance optimization, rather than directly evaluate the performance improvement. This finding points to the potential lack of engineering standard for formally verifying performance optimization in regression testing. Finally, from the economic perspective, we analyze the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">“Return On Investment”</i> of performance optimization. We found that design-level optimization usually requires more investment, but not always yields to higher performance improvement. However, developers tend to use design-level optimization when they concern about other quality attributes, such as maintainability and readability.

Modeling of unstable economic systems based on the distribution of the population engaged in the economy of Tajikistan

Object: The purpose of this study is to analyze and develop a mathematical model of the distribution of the employed population in the economy of the Republic of Tajikistan, according to the types of economic activity using the Sigma Plot program.Methods: In the present study the mathematical and statistical modeling of the distribution of the population employed in the economy of the Republic of Tajikistan is used. Modern computer technologies and programs create opportunities for developing and verification of new models and also help to improve model-based research methods, as well as the methods for analysis and presentation of simulation results.The narrowly professional use of modeling methods is giving way to the wide use of simulation models based on modern computer programs. And there is an inevitable need to put the issue of development of modeling in the context of real-life issues and interpretation of its fundamental concepts.Findings: For the proposed models the mathematical regression equations are obtained and the coefficients of these equations are calculated using computer programs. By the proposed mathematical and statistical models the ratio of the employed population and the unused labour force in the Republic of Tajikistan is calculated. The results showed that in order to accelerate the industrialization of the country and ensure the sustainable development of industry, it is necessary to take into account this ratio in the country.Conclusions: The developed mathematical model in the present work has been applied to show the dynamics of changes in the employed and unemployed labour force in the Republic of Tajikistan for the period 2006-2022. Consequently, we showed the possibility of using the unused labour force in order to solve one of the strategic goals of the republic, that is, the accelerated industrialization of the country

A Home of Opportunity: Exploring the Real Issues Behind the Informal Housing Market in Developing Countries and Solutions to Tackle the Problem

Abstract: Based on the work of Hernando De Soto, this essay explores the chaotic housing situation in developing countries, the issues that contribute to this, and potential solutions. We ask: why do systems work in the West but not in developing countries? An analysis of the informal markets in these countries provides insight into this question and its implications.

Critical literacy through Information and Communication Technologies in the primary educational systems of Spain and Switzerland: A comparative study based on the example of WebQuests

In this present paper, a comparative study between the Spanish and Swiss primary educational systems took place, investigating whether WebQuests are used in the foreign language lesson for the instruction of critical literacy in multilingual environments. The modern learning environment requires student-centred teaching, with new technologies creating ideal learning conditions which, although they carry many risks, have advantages over traditional ones, creating a lively learning and collaborative environment. In the case of WebQuests, searching for information on the internet ceases to be an arduous process, since it is guided. In addition, it enhances and promotes reflection, critical thinking, creativity, discovery and presentation of new information, delving into real-life issues and situations which are key elements of critical literacy.

Real Estate Investment Capitalization Issues in Emerging Markets: Reflection on Capital Market Instruments

Real Estate Investment Capitalization Issues in Emerging Markets: Reflection on Capital Market Instruments

Critique and change: The “what”, “why”, “how”, and “so what”

Critique and change: The “what”, “why”, “how”, and “so what”

CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING

Machine learning and AI techniques are becoming utilized in conjunction with processing to unravel a superfluity of real world issues. These techniques have proved to be extremely effective, yielding most accuracy with nominal financial investment and additionally saving immense amounts of it slow. To feature to their annual financial gain, nowadays, folks have started look stock investments as a moneymaking possibility. With knowledgeable steerage and intelligent designing, it wills virtually double the annual revenue through stock returns. That said, stock investment still remains a risky proposition for the inexperienced. Usurious wages of the investment consultants as well as a general content regarding the monetary matters among the overall public, deters several from commerce in stocks. The worry of losses additionally acts of stocks as a deterrent to many. These facts propelled to harness the ability of machine learning to predict the movement victimization sentiment analysis on the tweets collected victimization the Twitter API and additionally the closing values of varied stocks, seeked to create a system that forecasts the stock value movement of varied corporations. Such a prediction would greatly facilitate a potential stock capitalist in taking wise to choices which could directly contribute to his profits.

Runtime Permission Issues in Android Apps: Taxonomy, Practices, and Ways Forward

Android introduces a new permission model that allows apps to request permissions at runtime rather than at the installation time since 6.0 (Marshmallow, API level 23). While this runtime permission model provides users with greater flexibility in controlling an app's access to sensitive data and system features, it brings new challenges to app development. First, as users may grant or revoke permissions at any time while they are using an app, developers need to ensure that the app properly checks and requests required permissions before invoking any permission-protected APIs. Second, Android's permission mechanism keeps evolving and getting customized by device manufacturers. Developers are expected to comprehensively test their apps on different Android versions and device models to make sure permissions are properly requested in all situations. Unfortunately, these requirements are often impractical for developers. In practice, many Android apps suffer from various runtime permission issues (ARP issues). While existing studies have explored ARP issues, the understanding of such issues is still preliminary. To better characterize ARP issues, we performed an empirical study using 135 Stack Overflow posts that discuss ARP issues and 199 real ARP issues archived in popular open-source Android projects on GitHub. Via analyzing the data, we observed 11 types of ARP issues that commonly occur in Android apps. For each type of issues, we systematically studied: (1) how they can be manifested, (2) how pervasive and serious they are in real-world apps, and (3) how they can be fixed. We also analyzed the evolution trend of different types of issues from 2015 to 2020 to understand their impact on the Android ecosystem. Furthermore, we conducted a field survey and in-depth interviews among the practitioners from open-source community and industry, to gain insights from practitioners’ practices and learn their requirements of tools that can help combat ARP issues. Finally, to understand the strengths and weaknesses of the existing tools that can detect ARP issues, we built <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ARPBench</small> , an open benchmark consisting of 94 real ARP issues, and evaluated the performance of three available tools. The experimental results indicate that the existing tools have very limited supports for detecting our observed issue types and report a large number of false alarms. We further analyzed the tools’ limitations and summarized the challenges of designing an effective ARP issue detection technique. We hope that our findings can shed light on future research and provide useful guidance to practitioners.

Exploring the path of network security and student privacy protection in smart campus based on Markov model

Abstract With the advent of technological society, data and intelligence have become the directional trend of development, and the network security of smart campus has become the focus of public attention day by day. The personalization of college students and the development of intelligent analytics have brought about a whole new change in privacy protection. The intertwining of campus networks and privacy protection is a complex and very real issue, and research based on the privacy protection of college students has become more urgent. Using Markov model as a computational analysis tool, this paper deeply investigates the security and usage degree of smart campus network security technology, and it propose a complete Markov- network security technology system. The calculation shows that the intrusion detection system has the highest security of 51% and the widest usage of 63%. This is followed by firewall technology with 19% security and 26% usage. Based on the above techniques, the system security of the proposed Markov-network security technique is 57%, which is much better than the 43% of the traditional network model.

Gender violence and the construction of new gender identities: Roma migrant women's lived experiences in Romania and Spain

Recent research indicates that there are critical physical, psychological, verbal and economic issues that shape the types of violence to which women are subject. This study analyses how Roma migrant women fall victim to domestic abuse, both in their home country (Romania) and abroad (Spain). Drawing on literature regarding violence against women, a survey (N=132) was conducted with Romanian Roma migrant women in Spain to understand the ways in which they reconstructed their gender identities in the face of violence. Further semi-structured interviews were undertaken with five Roma migrant women to determine the ways in which these women perceived the forms of violence to which they fell victim, what caused their partners to become perpetrators, and what roles their own families played in this scenario. The findings of our study reveal the inherent insecurities that violence has inflicted on our participants, unmask the destructive effects on the family unit, and explain how some of the interviewees were able to transcend their experience and initiate a process of resetting their gender identities. If the predominance of the traditional patriarchal structure of Roma society can be observed during the life experiences of the Roma women in Romania, the gender characteristics are changing among those Roma women who have migrated to Spain: there is a greater emphasis on a fairer distribution of domestic tasks, decision-making in the family, and their ability to adapt to new possibilities for professional development. The study concludes that although violence against Roma women is still a real issue in Spain, women are re-defining their gender identities to resist traditional patriarchal structures.

ФОРМИРОВАНИЕ ЦИФРОВЫХ КОМПЕТЕНЦИЙ УЧАЩИХСЯ СРЕДНЕГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ ЭНЕРГЕТИЧЕСКИХ СПЕЦИАЛЬНОСТЕЙ С ИСПОЛЬЗОВАНИЕМ ПРОГРАММЫ «1С: ЭЛЕКТРОННОЕ ОБУЧЕНИЕ»

The article reveals the relevance of using state of the art software in teaching secondary vocational education students based on domestic software “1С: e-Learning”. The sequence of actions for doing the course of “Electrical and Electronics Engineering” developed on the basis of “1C: e-Learning” is given. One of such methods is the use of the e-course on “Electrical and Electronics Engineering”, which makes it possible to organize learning by doing. Interactivity and focus on construction of knowledge and skills in students when doing the e-course on “Electrical and Electronics Engineering” developed on the basis of “1C: e-Learning” are the features of the software. One of its specifics is that it allows students to obtain and develop knowledge and skills necessary to solve real-life and simulated issues as applicable to their future professions. This, in turn, contributes to the development of social skills and abilities to settle complicated issues at work, and teaches how to use the obtained knowledge in practice.

A Normalized Weighted Bonferroni Mean Aggregation Operator in Neutrosophic Vague Multi-Criteria Decision- Making

Decision-making problems involve uncertain and incomplete information, which can be well represented by the Neutrosophic set (NS). Various extensions of NS are available in the literature for solving such problems. However, the published extensions of NS have some restrictions such as single based membership degree. Neutrosophic vague set (NVS) is a newly developed theory to address the shortcomings of previous set theory. NVS is structured based on interval membership in the context of dependent membership functions. Beside uncertainty information, aggregation operators (AOs) are critical components in real-world decision-making issues. As a generalization to the conventional aggregation functions defined on the set of real numbers, numerous AOs have been presented in the literature. Each AO provides a distinct purpose in effectively resolving decision-making problems. Recently, Bonferroni meant (BM) operator has received great attention among scholars because of its ability to consider interrelationship among criteria available in decision-making problems. Based on the advantages of the NV and BM operator, we would like to fill in the gaps by developing a Neutrosophic vague normalized weighted Bonferroni mean (NV-NWBM). In addition, five mathematical properties related to proposed AO are also examined. Besides that, a three-phase decision-making framework is presented to clarify that the proposed AO can be applied to real world decision-making issues. The NV-NWBM operator along with decision-making framework is applied to the example of investment selection under NV environment. The finding shows a computer company is the best alternative for investment. Finally, influence of parameter is performed to validate the effect of parameter towards ranking order.

National Conference on Structural and Geotechnical Engineering (NCSGE-2022) 11th and 12th November 2022

INTRODUCTION Every structure requires foundation for its stability. A simple failure of foundation may lead to the failure of a structure even though all codal provisions are met in the analysis and design of super structure. A prompt exchange of ideas and innovations is essential between structural and geotechnical engineers to build a safe structure. Hence a single platform to exchange the knowledge between the experts of structural and geotechnical engineers is materialized in The first National Conference on “Structural and Geotechnical Engineering (NCSGE-2022)”. The Two Day National is organized by the Department of Civil Engineering, National Institute of Technology Jamshedpur, on November11-12, 2022. The main objective of this conference is to discuss the problems, solutions or recommendations in the fields of structural and geotechnical engineering. The experts from academic institutions, industries, research organizations, practicing engineers and students are given prime opportunity to share and discuss all the real challenges and issues in various fields like seismic studies, sustainable new materials, thermal studies, properties of black cotton soils, retaining walls and lateral load capacity etc. The main focus was given to interchange the ideas and novelty from structural engineering to geotechnical engineering and vice versa.List of About the Conference, Technical Advisory Committee, Organizing Committee are available in this pdf.

Real Estate Investment Capitalization Issues in Emerging Markets: Reflection on Capital Market Instruments

In spite of the potentials of the capital market, one wonders why the Nigerian real estate developer has not resorted to the use of capital market instruments for real estate financing. In light of the potentials of these instruments in real estate development financing, the study examines the issues bordering on real estate development financing using capital market instruments. Specifically, the study was guided by the following objectives: to ascertain the challenges associated with the funding of real estate development using capital market instruments in the study area, and to determine the prospects of capital market instruments in funding real estate development in the study area. The study area was the south-eastern geopolitical zone of Nigeria. A quantitative approach was chosen for this study. The population of the study was 245 comprising real estate investors\developers, Estate Surveying and Valuation firms, Primary and Federal Mortgage Bank of Nigeria, Nigeria Stock and Exchange Commission, selected Academia of Estate profession in south East, Nigeria. The primary data collected through the questionnaire were analyzed and presented using charts, Binomial test of proportion and Z-approximation test. The study found seven (7) significant challenges associated with the capital market financing of real estate development in the study area; while six (6) significant prospects of capital market funding of real estate development in the study area were found. The study recommended that policies that will impact positively on the real estate development sector of the Nigerian economy as it concerns funding should be pursued with all the seriousness it deserves; and good regulatory environment should be provide with adequate safeguard to enable investors tap into the potentials of the capital market in financing real estate development.