bluuebunny/crossref_metadata_2025 huggingface dataset:
The Form of Civil Liability of Securities Service Institutions in Securities Misrepresentation: Reconstruction Based Perspective
Authors: Ling Shiqi , Liu Ruonan , Zhang Yuying
Published: March 2023

In the context of the joint and several liability under Article 163 of the Securities Law of the People's Republic of China, it was common practice to order securities service institutions to assume full joint and several liability without distinguishing the degree of fault and the magnitude of causative potency. Even in the cases of differentiated liability, the court's reasoning on the degree of fault is relatively general and imprecise. Based on China's legislation and trial practice, this research discusses the type of duty of care of securities service institutions. Then it uses case study and comparative research methods to reconstruct the differentiation of liability in misrepresentation, taking into account extra-territorial experience. When the securities service institution commits the misrepresentation intentionally, it shall bear full joint and several liability; if the misrepresentation is caused by gross negligence, it shall bear proportional joint and several liability; if the misrepresentation is committed by general negligence, it shall bear supplementary liability. In this way, reconstructing the joint and several liability restriction in a reasonable way is the proper implementation of consistency of fault and liability.
Analysis of Asian Marketing Status of L 'Oreal Group
Authors: Li Yanlin
Published: March 2023

As one of the world's leading cosmetics groups, the L'Oréal Group owns overseas markets in many countries, and its sophisticated international marketing operations have brought achievements in overseas markets. This paper examined and analyzed the current state of L'Oréal Group's marketing in Asia international markets around the last decade of the 21st century and the problems that exist. Based on a comparative investigation of some differences in the marketing strategies of the L'Oréal Group in the European or US regions to investigate whether regional cultural uniqueness influences the marketing strategies implemented in Asia in the market. Meanwhile, the case study illustrated the disadvantages and competition problems that the L'Oréal Group may have in marketing in Asian overseas markets. A literature review and case study were conducted on this article with qualitative methods. The 4Ps (Price, Product, Place, Promotion) were applied to analyze some of L'Oréal Group’s marketing situation in Asia. Also, the advantages and disadvantages of L'Oréal’s marketing strategy in Asia will examine by the SWOT (Strengths, Weaknesses, Opportunities, Threats) method. Finally, propose countermeasures for L'Oréal to improve Asian marketing based on the problems that exist and highlighted the competitive advantages of L'Oréal Group in the international cosmetics market industry.
Environmental Impact on Cross-border Mergers and Acquisitions
Authors: Fang Qiyue
Published: March 2023

The development of the world economy cannot be separated from the economic exchanges between countries, and the main body of economic exchanges is multinational corporations. With the increase of the number of multinational corporations, more economic development situations will appear. In this paper, the new economic transaction mode of "cross-border mergers and acquisitions" is mainly discussed. In addition, due to the changing international situation, economic development is affected by various factors. Cross-border mergers and acquisitions are economic exchanges between countries. They are easily affected by these factors and will bear great risks. From the perspective of the host country, this paper expounds four environmental factors that have a significant impact on cross-border mergers and acquisitions, and from the perspective of the company, briefly describes which companies are more popular when the environmental factors are the same. By grasping the transaction environment, multinational M&A companies can better understand the objectives of M&A, consider the benefits of M&A, minimize the losses caused by cross-border transactions, and reduce transaction risks. Through the example of Lenovo's merger with IBM, we can see the difficulties and risks that need to be faced in mergers and acquisitions, and we can also see the huge benefits that enterprises can obtain after successful cross-border mergers and acquisitions.
Portfolio Construction using Machine Learning: Comparison between Monte Carlo Method and LASSO Algorithm
Authors: Wong U Kai
Published: March 2023

Machine Learning are widely used in manifold fields, in which finance is one of the most recurring fields to be used. One of a popular study in finance is Portfolio construction. This essay is attempting to constructing portfolio using Markowitz Portfolio Theory, Monte Carlo Method and Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and comparing the simulation result. We will use the daily data of components of NASDAQ during 2020 to simulate.
Analysis of Successful Marketing Mode in the Background of E-commerce——Taking SHEIN as an Example
Authors: Chen Jinwen
Published: March 2023

Economic globalization is an inevitable result of world economic development and an important feature of global economic development. It can promote the rational allocation of resources and production factors, and help achieve effective flow of global capital and products. In the context of economic globalization, cross-border e-commerce has achieved leapfrog development and has become a new global economic breakthrough, which has attracted extensive attention from all sectors of society. SHEIN, a cross-border e-commerce enterprise, successfully captured the dividend of the times and became a typical representative. This paper makes a comprehensive and specific study of the successful rise of SHEIN brand from four aspects: the overall situation of SHEIN, the market environment, the marketing strategy, and the inspiration for reference, and takes SHEIN as a case to analyze the successful marketing model under the e-commerce background. This paper first gives a brief overview of SHEIN, and then analyzes SHEIN's advantages, disadvantages, development opportunities and threats. It is concluded that SHEIN has successfully formulated a market positioning strategy and has made good use of product strategy, price strategy, communication strategy and channel strategy. Finally, taking SHEIN as an example, it gives inspiration to other cross-border e-commerce enterprises in China: to formulate an overall strategy for brand going to sea, Strengthen product R&D and design capabilities, and improve the operation of the linkage e-commerce platform. Chinese cross-border e-commerce enterprises should also fully learn from experience, make unremitting exploration and efforts to develop, so as to drive the development of China's cross-border e-commerce.
Analysis of Shanghai Disney’s Marketing Strategy of through 4Ps Theory
Authors: Li Ziyan
Published: March 2023

In Tokyo, Paris, Hong Kong, and Shanghai, China, Disney has built a fairytale kingdom as part of its first global tour, which began in 1983. In terms of cross-cultural communication, both have had both successes and disappointments. The success of Shanghai Disney is due to localized marketing and sophisticated and diverse marketing techniques also, a sensible model for setting ticket prices. This paper assesses Shanghai Disney through the 4Ps theory in the hope of enlightening domestic companies. The focus on cultivating talent and reduction of the cost of overseas investment is a necessary investment to ensure the mutual economic development of both sides. In order to build strong political and economic ties with the host nation, multinational corporations should look for areas of agreement with the host nation, respect cultural differences, and localize moderately in addition to abiding by the principles of "mutual benefit" and "win-win" and tearing down the barriers between the two peoples.
Intelligent scheduling of enterprise human resource group based on big data
Authors: Li Xinlin
Published: March 2023

In order to solve the problem that the dynamic programming of traditional intelligent scheduling algorithm is not perfect, which leads to the operation result taking too long, the author proposes an intelligent scheduling algorithm for enterprise human resources based on big data. This research creates an effective planning model based on big data, realizes the effective business plan of human resources, develops the advanced instruction of the intelligent scheduling algorithm, and proposed intelligent scheduling algorithm based on table precedence. The results showed that the average time of the experimental group was 7.261s shorter than the control group in the 20 stages of the data fusion test. The results show that, compared with the traditional intelligent scheduling algorithm, the intelligent scheduling algorithm proposed by the author can reduce the time required for data fusion and calculation in the stage, and the performance of the intelligent scheduling algorithm based on the previous table is better than those. Practice has proven that the intelligent scheduling algorithm based on the table can help reduce the work of intelligent scheduling of business human resources based on big data.
Preface: 2022 International Conference on Electronic Commerce and Risk Management (ECRM 2022)
Authors: Raymond Geraldine , Kang Limin
Published: March 2023

The 2022 International Conference on Electronic Commerce and Risk Management (ECRM 2022) is a great opportunity to meet old and new friends again for future research collaborations. In light of ongoing developments resulting from the COVID-19 globally and after thoughtful consideration with our co-organisers and collaborators, we have decided to move our conference to a fully online, virtual experience held on December 30-31, 2022 from Philadelphia, USA. As much as we wish for a meaningful gathering full of respectable researchers, we cannot overlook the danger the COVID-19 might cause. We firmly believe that this was the safest approach for the well-being of our global participants and audiences.

The main objective of ECRM 2022 is to explore the frontiers of science, technology, engineering and management in various areas addressing innovative research in the broad field of electronic commerce and risk management and discussing topics that stretch into the future. It also provides a venue and many opportunities to meet and network with colleagues from this broad field, share personal experiences, and learn from others. We are thrilled that our virtual conference platform makes it possible for the learning opportunities and network engagement to happen during this pandemic in the comfort and safety of their home or office.

The Committees of ECRM 2022

Philadelphia, USA
Research on the Investment Value of Hybrid Funds in the Chinese Capital Market based on Factor Analysis
Authors: Lin Runyang , Wang Yi
Published: March 2023

Factor analysis is a cutting-edge and effective data processing method that has a wide range of uses in the field of finance, as it can reduce the numerous indicators in finance into a few valid common factors in the form of factor analysis. The researcher can name the factors by the percentage contribution of each variable in the different factors. After that, the scores of financial products (e.g., stocks, funds) on different factors give a clear picture of how well the product performs in these aspects. The main research direction of this paper is to reduce the dimensionality of each index of hybrid funds in the Chinese fund market through the factor analysis technique to get reasonable public factors. And to rank these funds with factor scores to get the best funds among these ninety hybrid funds to make recommendations for investors. Finally, this paper successfully selects four excellent hybrid funds, which have excellent performance in terms of size, earnings, and debt-servicing ability, which can provide some reasonable suggestions for investors who want to invest in Chinese hybrid funds.
Research on Performance Evaluation of Life Insurance Industry in China based on Factor Analysis
Authors: He Yushi
Published: March 2023

In recent years, China's insurance industry has achieved rapid development and progress due to the support of national policies and the continuous adjustment of the social consumption structure, which indicates that more resources should flow to the life insurance industry but also faces great challenges. Therefore, this paper will analyze and evaluate the operating performance of current life insurance companies in China, and formulate effective policy suggestions. This paper introduces the research background and research meaning, selecting 25 2020 Chinese and foreign joint venture life insurance companies as the research sample, and from five aspects such as profitability, debt paying ability chosen from 20 indexes, set up the China life insurance business performance evaluation index system, through the principal component analysis (PCA), according to the common factor to explain the reasons for the influence of development conditions, Finally, combined with the factor ranking and the actual situation of China's insurance industry, the evaluation and analysis are carried out. The research results show that although China's insurance industry started late, the current development speed is objective. Small and medium-sized life insurance companies are also prominent in the overall ranking of business performance due to their operational flexibility and innovation. Based on the research results, the current problems of life insurance companies in China can be concluded, and reasonable suggestions can be put forward for further improving the business performance of life insurance companies.
Comparison on Asset Pricing Models: Application of CAPM, Fama-French 3 factors model and Fama-French 5 factors model
Authors: Jia Hantao
Published: March 2023

There are many mainstream models in the academic community, such as CAPM, Fama-French 3 factors model, Fama-French 5 factors model. Chinese stock exchange since its establishment in 1990, has had more than 30 years of development. Nowadays, Fama-French 3 factors model is commonly considered as a more suitable model. However, because of the difference between the Chinese and American markets. The practical application of the models mentioned above in the Chinese market remain to be verified. This paper gathers the monthly data of stocks traded in the Shanghai Stock Exchange from 2002 to 2022 and the annual report data of its corresponding companies, follows the construction method of the model, compares the application of each model. As a result, Fama-French 3 and 5 factors model both have good performance in the sample. MKT and HML factors have significant influence in the model. But the CMA factor may be less satisfied in this market, and further discussion is required.
China’s Tourism Industry under COVID-19: Impact & Response
Authors: Hong Yuhe
Published: March 2023

The outbreak of COVID-19 has strained the global economic situation, and many industries are facing serious threats. As COVID-19 continues to spread across the globe, countries around the world have introduced strict travel controls. The tourism business has experienced unprecedented effects as a result of unfavorable external circumstances and customer anxiety. This paper examines COVID-19's effects on the travel and tourism sector, explaining the development status of China's domestic, inbound and outbound tourism market under the impact of COVID-19 pandemic, discovering the changes of college students' travel decisions before and after the pandemic, and demonstrating the severe damages of tourism enterprises, in particular, enterprises that mainly operate the hotel business and travel agency business. After that, the effectiveness and rationality of the existing tourism recovery strategies are evaluated. This paper adopted the research methods of questionnaire survey and chart analysis to investigate the changes in college students' tourism consumption and the number of trips before and after the epidemic, and to evaluate the tourism recovery strategies which are implemented in China, such as issuing travel consumption coupons, the government's economic support for tourism companies. Eventually, the most suitable recovery strategy for China's current tourist market will be analyzed.
A Literature Study on the Capital Asset Pricing Model
Authors: Xie Zhitao
Published: March 2023

Capital Asset Pricing Model (CAPM) is an important theory in financial economics. It was based on Markowitz's Modern Asset Allocation Theory (MPT) and proposed by Sharpe. This model expresses the relationship between risk coefficient, asset return rate, and systematic risks by simple mathematical formulas. The model has four advantages, handling of risks when evaluating investment behavior, accuracy when estimating equity capital, relatively reliable and better than Weighted Average Cost of Capital (WACC) in investment evaluation. CAPM also has some weakness, consisting of variables and application in investment evaluation. There are three variables in CAPM model, risk-free rate of return, equity risk premium and beta. The weakness about application in investment evaluation shows that in beta of projects and firms are different, complex restructure and periods. The Arbitrage Pricing Theory (APT) can be an option of CAPM, and it is a more flexible and complex model compared with CAPM. However, the latest research proves that Portfolio Theory has very big problems. High-risky assets do not necessarily have high returns. This view may be embodied in "low-risk anomalies" and "Idiosyncratic Volatility". In the future, researchers will introduce more elements for CAPM to improve accuracy, or develop new models.
Influence of the Epidemic on the Three-Factor Model's Applicability in the Chinese Stock Market
Authors: Zhu Junyan
Published: March 2023

The Fama-French three-factor model is regressed in this study, which examines all A-share equities for 60 consecutive months between 2017 and 2022. The portfolio is built using the average investment in the Shanghai Exchange and Shenzhen Exchange. The data for the article was downloaded from the RESSET database and contains the the market capitalization, book-to-market values, and the portfolio's return less the risk-free rate of return, weighted by market capitalization for all A-share portfolios. According to the empirical findings, there was little overall change in the coefficients of the three factors-MKT, SMB, and HML. Each portfolio's market risk indicators point to a comparable degree of market risk. The stock market can be explained and predicted well using the three-factor model. Based on the regression results, the epidemic did not have a significant impact on the overall structure of the three-factor model. This indicates that the Chinese stock market is relatively stable in the short term and more resilient to unexpected events. It also shows that A-share market can be predicted by the three-factor model.
Comparative Study of Techno-economic Evaluation Methods: NPV and IRR as Examples
Authors: Hou Chaohan , Huo Nan , Wang Shenye
Published: March 2023

The NPV method and the IRR method are two methods that enterprises often use when making investment analysis. NPV and IRR are the most used indicators for financial feasibility evaluation of investment production, but there are many conflicts in practical application. This paper compares the two evaluation indicators, explains the reasons for the contradiction with specific examples, and analyzes what more scientific evaluation indicators should be used in different situations. The meaning of this research is to find out the way of using NPV and IRR to make technical and economic evaluation on different projects. Technical and economic evaluation refers to the evaluation of the economy of the project scheme by using a series of evaluation indicators and criteria in a certain procedure and manner, so as to determine the economic feasibility and rationality of the project scheme, and to select the best investment project scheme that is technologically advanced and economically reasonable. In the technical and economic evaluation, the criteria for evaluating economic benefits should be reasonably determined.
Research on the Impact of Financial Technology on Bank Systemic Risk
Authors: Jing Zhaocheng
Published: March 2023

Systematic risk prevention is an issue that the regulatory authorities attach great importance to. The report of the 19th National Congress of the Communist Party of China required to improve the financial supervision system and keep the bottom line of avoiding systematic financial risks. Under the current economic background, it is of great practical significance to study the impact of financial technology on the systematic risk of commercial banks, which is related to the stability of bank operations in the era of financial technology, and helps the regulatory authorities grasp the relationship between supporting the development of financial technology and strengthening financial supervision. Based on the concept of financial technology and its influencing factors, this paper analyzes the impact of financial technology on the management risk of commercial banks. Finally, this paper puts forward countermeasures and suggestions from the aspects of system supervision and digital transformation. The research of this paper is of great significance to the risk management of commercial banks and financial industry.
Impacts of the Ukraine Conflict on Energy and Food Shortages & Price Increase in UK and EU
Authors: Sun Yueming
Published: March 2023

The presence of Russia-Ukraine war impacts world’s energy and food markets and influenced the world’s economy directly. UK & European Union suffered a lot due to this war’s impacts. UK and EU’s energy and food market fluctuated, which affected UK and EU’s inflation rate skyrocketed and a significant increase on the cost of living. The reasons caused the high inflation rate, and the increasing cost of living can be seen as a basic supply and demand issue. The core inflation products are the key that determines the rate of inflation as well as the cost of living. While there are less supplies of energy and food to the market and demand remains the same, the price of them increases, which caused inflation rate and daily essential expenses to rise. Through research and deductive reasoning, the impacts that Russia-Ukraine war guided UK and EU’s economy to worsen, and the cost of living (which represents people’s daily expenses) to increase rapidly.
A Comparison of Economic Impact in US: COVID-19 and Ukraine Conflict
Authors: Chen Tianhao
Published: March 2023

This paper focuses on the comparison of the different economic impacts of the COVID-19 and Ukraine wars. The COVID-19 pandemic and the Russian-Ukraine war shaken the global economy and resulted in a record-breaking inflation rate in the United States that continued to increase until now. After a series of Stimulus bills and expansionary monetary policies, such as the CARES act and lowering interest rates, the United States GDP was able to recover from the direct effects of the pandemic. However, the labour force participation rate never returned to its previous level. After the Russian-Ukraine war broke out, the United States and its allies imposed a wide range of economic sanctions against Russia. The crude oil prices also surged in the first few days, making it a key contributor to the inflation. However, with the increase in interest rates, the US federal reserve was able to control the rise in inflation. This is corresponded by a surge in the S&P 500 stock index. Overall, the United States is far more affected by the COVID-19 pandemic than the Russian-Ukraine war by a wide range of comparisons.
Portfolio Construction and Performance in 2022 based on Index Model
Authors: Li Zitian
Published: March 2023

Investment has always been a course of knowledge, data and information. Different investors follow different investing strategies and develop different investment portfolios. Traditional investment portfolios seek for stability by diversifying the risks to products from a wide range of industries. However, in recent years, the rise of investment in Information Technology industry encouraged more aggressive investments and correspondingly the portfolio constructions should be more aggressive. This study will investigate the performances of the stocks of the leading companies in the IT industry and train the Index Model and test its projections. It finally arrives at the conclusion that though the price trends of different stocks in the IT industry differ a lot and are fluctuating a lot, the Index Model is applicable to the data from 2020-2021 and is proved to work through year 2022. Therefore, with sufficient admit to potential limitations and risks in the future, a more aggressive way to invest in the IT industry is somehow developed. These results shed light on guiding further construction of portfolio.
Corporate Financial Measures and Covid-19 Pandemic with Evidence from the Growth Enterprise Market of China’s Shenzhen Stock Exchange
Authors: Chi Yiheng
Published: March 2023

The Covid-19 pandemic has caused huge losses of lives. Social distancing policies were enacted in an effort to contain the virus. However, they constrained commercial activities, leading to recessions worldwide. Nevertheless, this situation provides an opportunity to investigate how companies' financial measures of liquidity, solvability, activity, and profitability reacted to external risks similar to the pandemic. This paper approaches this issue by collecting data from companies listed on China's Growth Enterprise Market of Shenzhen Stock Exchange. Due to the limited numbers of companies from several industries, only six industries that contain more than 30 companies listed were selected. Several ratios for liquidity, solvability, activity, and profitability were calculated with reported financial data and mapped throughout the studied period. Changes were recorded to determine the sensitivity of these measures. How price changes responded to the increases in the number of covid cases was studied as well. The first finding is that liquidity and solvability ratios were not sensitive to the pandemic for the studied companies. On the contrary, activity and profitability were negatively influenced severely. In addition, prices had a negative relationship with increases in covid cases in general, but the regression result was not statistically significant due to the lack of representations.
Affecting Factors and Forecasting Trends of American GDP
Authors: Luo Chenxiao , Xue Yuting
Published: March 2023

The predictors of Gross Domestic Product (GDP) have been a heated topic of research in recent years. Researchers have used diverse methods or models to find the factors that may affect GDP to some extent. However, there remain some gaps in the application of multiple regression models in GDP analyses. This paper aims to predict the trend of U.S. GDP by analyzing the trends of four variables and applying multiple regression models of these variables. As is found in the research, unemployment rate, total primary energy consumption and labor productivity of nonfarm business and nonfinancial corporations have an impact on GDP and can be utilized to predict GDP. Petroleum, hydroelectric power, solar energy and wind energy can also be used to forecast GDP. The findings of this paper may be conducive to more thorough and sophisticated analyses of GDP, the principal metric that is used to assess the performance of a nation’s economy.
The Influence of College Entrance Examination Policy on Educational Equity in China
Authors: Gao Ning
Published: March 2023

The fairness of the college entrance examination is an important index to measure whether society is fair, and the college entrance examination policy is the decisive factor in the fairness of the college entrance examination. The college entrance examination is called Gaokao in China. In today's era of rapid development of science and technology, all countries have a great demand for high-quality talents. Therefore, it is essential and necessary to ensure the fairness of education and to explore and educate students with potential. So this paper is mainly divided into four parts. The first part mainly introduces the definition of fairness and how to reflect fairness in Gaokao policy. The second part introduces and analyzes the previous research. The third part mainly introduces the current situation and significance of the Gaokao system. The fourth part mainly analyzes the embodiment and existing problems of the education gap between big cities and rural areas in the Gaokao policy. This study believes that through the analysis of the above contents, it can better improve the fairness of the Gaokao system and establish a more scientific way of talent education and training so that more people can get a complete and excellent education. Gaokao has always been a major event widely concerned by the whole society in China. Through the improvement of the fairness of Gaokao, a fair and just atmosphere can be promoted to improve society's overall quality.
Structural Analysis Program Using Direct Stiffness Method for The Design of Reinforced Concrete Column
Authors: Azmi Ahmad Faza
Published: March 2023

Most of the analyzes and calculations in civil engineering have been using computer. But many commercial structuralanalysis programs are relatively expensive. Hence one of the alternative way is using a self developed structuralanalysis program. The computer program is constructed using Visual Basic 6 programming language. Using directstiffness method and theory of ACI 318-02, a numerical procedure along with a computer program was developed forthe structural analysis and design of reinforced concrete member. From the direct stiffness method,in terms ofstructural analysis, the output that obtained from the program are internal element forces and support reactions nodedisplacements. From ACI 318-02 codes, in terms of reinforced concrete member analysis, the program generate theamount of longitudinal and lateral reinforcement of concrete member based on the output in the previous structureanalysis program. The program also reveals the biaxial bending-axial interaction diagrams in each direction ofrectangular and circular column. The interaction diagram of the columns is a visual representation to determine themaximum axial load and moment exceeded the capacity of the column.
Designing Inventory Information Sytem of Finished Goods for Varia Usaha Beton, Co. Ltd
Authors: Wahyuningtyas Emmy
Published: March 2023

Nowadays, the web-based information system is widely used in various fields, including at PT. Varia Usaha BetonGresik. Data Collection Inventory of finished goods needs to be done in order to know the residual of pre-printedconcrete sold and guarantee the smooth flow of goods. Therefore, it is necessary to record all revenue received fromthe realization of production (input) and delivery realization (output). The data recording aims to be easily identifiedby the overloaded goods and the goods that must be reproduced because of stockout, and to integrate data amongthe general affairs division, production division, PPIC (Production Planning Inventory Control) division to supportthe delivery process.
Study of SWOT Analysis on Academic Information System at Universitas Pattimura Ambon
Authors: Kaci Atiana Sofia , Prasetya Dwi Arman , Sisharini Ninik
Published: March 2023

At this time, every organization try to implement the system or information technologies in order to improve theefficiency and effectiveness of in the process of business, also to be able to give the added value in the form ofcompetiteve advantage in the business competition. The application of information technologies system will behelpful if the implementation is in accordance with the goal, vision and mission of the organization to establish abusiness strategy and a strategy of the information technology system. So that it takes analysis of the many factorsthat influence the formation of a planning a strategy of the system or information technologies are able to adapt andin harmony with a strategy of business. One of the techniques in analyzing strategy is to use analysis SWOT where the analysis focusing to Strength, Weakness, Opportunity, and Threat
Cryptography on Audio Files Using the Blowfish Algorithm
Authors: Fahriani Nuniek , Waluya Onny Kartika
Published: March 2023

Blowfish is a 64-bit block cipher with variable key length. The algorithm consists of two part: Key expansion anddata encryption. Allowing its use in cryptography. In general, cryptography is about constructing and analyzecommunication protocols that can block an opponent. Various aspects of information security, Such as confidentialdata, Data integrity, Authentication and non repudance Is the center of modern cryptography. This caseimplementation with encryption and decryption techniques on audio files using java programming, aims to securethe audio data contained in it can be maintained and can only be read by user who have the cryptographic key.
Forecasting Sales Prices Appartment Using Fuzzy Tsukamoto (case Study My Tower Apartment)
Authors: Purnamasari Ayu , Herulambang Wiwiet , Adityo R Dimas
Published: March 2023

Currently apartment buildings are not foreign anymore we see let alone in the middle of the city. The price is still fairly cheap or under the price of housing makes a lot of interest to have an apartment either for personal or investment. Each developer has a strategy to attract buyers whether it increases or decreases the price of the apartment in each period or every year. The research was conducted to help the company change the price of the apartment by using method Fuzzy Tsukamoto based on input-an Inflation Value in the year to be predicted, View apartment, and Sales Price before. The results here show that for the output of the program is different from the original data, that is more expensive or the price is higher than the original data. There is an ratio of error 0.7609184% to -0.334665% or difference between Rp.200.000.000 to Rp.400,000.
Eye Black Circle of Milkfish Segmentation on Hsv Color Space
Authors: Prasetyo Eko
Published: March 2023

One of the popular fish consumed by the people is milkfish. The freshness of milkfish can be observed from eyecondition. maka segmentasi lingkatan hitam mata ikan bandeng penting dilakukan we conduct experiment in milkfishimage segmentation to get region of interest in eye circle. Kami mengusulkan frame work untuk segmentasilingkaran mata ikan bandeng menggunakan filter spasial pada komponen Hue dan Value ruang warna HSV. Byusing 10 milikfish images, we get segmentation performance with average of precision 84.04%. But we get badperformance in recall, because achieve recall 43.08%.
Urologist-perceived barriers and perspectives on the underuse of sacral neuromodulation for overactive bladder in Canada
Authors: Gariscsak Peter , Gray Gary , Steele Stephen , Elterman Dean , Doiron R. Christopher
Published: March 2023

Introduction: An estimated 18% of Canadians have overactive bladder (OAB), with approximately 24% of those reporting difficulty adhering to pharmacotherapy. To date, there has been no investigation into barriers facing sacral neuromodulation (SNM) as treatment for OAB in Canada.
Methods: Current Canadian Urological Association members were invited to participate in an anonymous survey. Data collected included open-ended and Likert scale responses addressing barriers to referral for SNM. Qualitative analysis used a Theoretical Domains Framework (TDF), while quantitative responses are reported using descriptive statistics.
Results: A response rate of 20.4% (n=142) was obtained. Most respondents believed SNM was underused (n=82, 57.7%) compared to only 6.3% (n=9) who believed it was used adequately. The most commonly cited reasons for not offering SNM were lack of availability (n=85, 59.9%), expertise (n=49, 34.5%), and funding (n=26,18.3%). Participants were neutral regarding confidence to appropriately recommend SNM to patients (median 3, interquartile range [IQR] 2–4) and were not confident to manage patient care and issues related to SNM devices (median 2, IQR 1–3). On thematic analysis using the TDF, the most prevalent barriers to SNM care were related to infrastructure and resources. A lack of trained experts and lack of knowledge related to SNM use were also commonly identified barriers.
Conclusions: In this first study exploring urologist-perceived barriers to SNM referral for medically refractory OAB in Canada, urologists acknowledge that SNM implantation is underused but did not feel confident in recommending SNM appropriately. A lack of trained experts and poor funding were also identified as major barriers to SNM referral.
The impact of tranexamic acid on perioperative outcomes in urological surgeries: A systematic review and meta-analysis
Authors: Kim John , Alrumaih Abdullah , Donnelly Conor , Uy Michael , Hoogenes Jen , Matsumoto Edward D.
Published: March 2023

Introduction: Tranexamic acid (TXA) is an antifibrinolytic agent widely used in surgery to decrease bleeding and reduce the need for blood product transfusion. The role of TXA in urology is not well summarized. We conducted a systematic review of studies reporting outcomes of TXA use in urological surgery.
Methods: A comprehensive search was conducted from the following databases: PubMed, Embase, Cochrane Library, and Web of Science. Two reviewers performed title and abstract screening, full text review, and data collection. Primary outcomes included estimated blood loss (EBL), decrease in hemoglobin, decrease in hematocrit, and blood transfusion rates. Secondary outcomes included TXA administration characteristics, length of stay, operative time, and postoperative thromboembolic events.
Results: A total of 26 studies consisting of 3201 patients were included in the final analysis. These included 11 studies on percutaneous nephrolithotomy, 10 on transurethral resection of the prostate, three on prostatectomy, and one on cystectomy. Estimated blood loss (EBL), transfusion rate, hemoglobin drop, operative time, and length of stay were significantly improved with TXA administration. In addition, the use of TXA was not associated with an increased risk of venous thromboembolism (VTE). The route, dosage, and timing of TXA administration varied considerably between included studies.
Conclusions: TXA use may improve blood loss, transfusion rates, and perioperative parameters in urological procedures. In addition, there is no increased risk of VTE associated with TXA use in urological surgery; however, there is still a need to determine the most effective TXA administration route and dose. This review provides evidence-based data for decision-making in urological surgery.
Pemanfaatan Nomor Induk Kependudukan Oleh Direktorat Jenderal Pajak Dan Implikasi Bagi Penghasilan Di Bawah PTKP
Authors: Said Basalamah Anies , Irawan Ferry
Published: March 2023

Peraturan Menteri Keuangan Nomor 112/PMK.03/2022 menjadi dasar petunjuk pelaksanaan penggunaan nomor induk kependudukan (NIK) sebagai nomor pokok wajib pajak (NPWP). Terdapat peluang yang sangat strategis muncul dari regulasi tersebut. Penelitian ini bertujuan untuk mengelaborasi implikasi yang dapat muncul dari kebijakan dimaksud. Selain itu, juga bertujuan untuk memberikan rekomendasi kebijakan bagi pemerintah baik dari sisi makro maupun mikro. Penelitian ini menggunakan metode kualitatif dengan pendekatan deskriptif elaboratif. Hasil penelitian menghasilan beberapa temuan penting. Pertama, Direktorat Jenderal Pajak mendapatkan informasi yang lebih komprehensif atas data wajib pajak sehingga dapat meningkatkan kepatuhan wajib pajak. Kedua, Kebijakan penggunaan NIK sebagai NPWP dapat berdampak lebih luas apabila diikuti dengan kebijakan lainnya seperti penghasilan wajib pajak di bawah PTKP ditanggung oleh negara. Selain itu, kebijakan ini juga dapat memperbaiki data mengenai kemiskinan menjadi lebih valid dan terukur.
Analysis and protection of IoT systems: Edge computing and decentralized decision-making
Authors: Lobanchykova Nadiia M. , Pilkevych Ihor A. , Korchenko Oleksandr
Published: March 2023

This article presents a detailed analysis of the Internet of Things (IoT) systems and the methods used to protect them. The article highlights the potential of edge computing to minimize traffic transmission and the decentralization of decision-making systems to enhance security. The analysis examines attacks on IoT system components and provides protection recommendations. Furthermore, the article explores the prospects of information protection in IoT systems.
Code for generating selectable constant average picture level (SCAPL) test patterns
Authors:   International Committee for Display Metrology
Published: March 2023

An example MATLAB source code pattern designer will produce the pattern definition in appendix A12.7 of the Information Display Measurements Standard (IDMS) v1.2. It is available for the user’s convenience and pattern verification. The pattern designer can create pictures for later rendering or direct display rendering of the SCAPL pattern. In case images are built prior to an experiment, the user should employ lossless image storage in fully sampled three-component colors (4:4:4).
ПОЛИТИЧЕСКАЯ СОЦИАЛИЗАЦИЯ МОЛОДЕЖИ:
ПРОБЛЕМЫ И ПЕРСПЕКТИВЫ / ԵՐԻՏԱՍԱՐԴՈՒԹՅԱՆ ՔԱՂԱՔԱԿԱՆ ՍՈՑԻԱԼԱԿԱՆԱՑՈՒՄ.
ԽՆԴԻՐՆԵՐ ԵՎ ՀԵՌԱՆԿԱՐՆԵՐ
Authors: TER-VARDANYAN ARAM
Published: March 2023

The article is devoted to the political socialization of youth, in particular, the issues of early socialization of youth, the factor for political parties in the process of political socialization, as well as the role of political socialization in ensuring the stability of the political system. In addition, the article pays special attention to the issues of political education and upbringing.
Based on a theoretical analysis, an attempt is made to outline and present some practical recommendations that are useful in developing programs for the political socialization of youth.
Deep Learning Based Energy Efficiency in Wireless Sensor Network
Authors: Manikandan A.
Published: March 2023

Wireless Sensor Network (WSN) comprise of huge amount of sensor nodes. These nodes sense the data from their surroundings and pass this information to the sink node using cluster head. Due to the emergence of new technology, it is widely used in distinct applications such as habitat monitoring, health science, border surveillance etc. There are several issues in WSN such as Quality of Service (QoS), localization, routing and data aggregation. Sensor nodes have limited energy, so there is a need to enhance the energy efficiency across the network. This paper focuses on two mechanisms of energy efficiency: energy consumption and energy harvesting. Energy consumption can be minimized by using different Machine Learning (ML) approaches. The other mechanism is energy harvesting. It provides the further two sources: ambient source and external source. Ambient source consists of renewable resources such as radio frequency, solar, thermal and flow-based energy harvesting. Radio frequency converts the radio waves into electric signal, solar mechanism converts solar rays to electric signals, thermal mechanism converts heat energy to electric energy and flow technique convert the rotatory movement to electric signal. External source includes mechanical and human based energy harvesting. Further, the proposed statistical analysis of eight years (2014-2021) illustrated the fact that different ML techniques applied in energy efficient parameter reduces the consumption of energy across the network. These two mechanisms enhance energy efficiency parameter and network lifetime by using ML. Author vision is discussed as an open issue in the last.
Machine Learning in Drug Discovery
Authors: B Deepak
Published: March 2023

A drug is a substance that when put into the body can change the way the body works and a person's mental state. Discovering the accurate drug plays a vital role in saving precious lives. In traditional drug creation, scientists identify a target in the body and test a large range of chemical compounds on it until they obtain the results. The process gets quicker and more effective with the role of machine learning techniques. This is done by using the huge amount of biological data, medical data, algorithms and statistical models available today. This automation of the drug development process is a key to the current issue of low productivity rate that pharmaceutical companies currently face and helps eliminate the side effects. Machine learning might be a useful tool to further enhance the drug development process.
Competencies and Values of Barangay Nutrition Scholars in Eastern Visayas: Basis for Program Development
Authors: Labordo Nino Archie S.
Published: March 2023

The study determined the competencies and values of Barangay Nutrition Scholars (BNS) in Eastern Visayas and the relationship between the said variables along the socio demographic variables, which formed as bases in proposing for a capacity training development program for BNS in the local community. The study utilized the quantitative research design in determining the values and competencies of the BNS. Descriptive and inferential statistics were employed to measure and analyze the variables. It was affirmed that there were significant differences in mean ratings for competence in implementing, monitoring and evaluating, and documenting and record keeping, while there are no significant differences in mean ratings for competence in planning, coordinating, and mobilizing resource. In terms of the core values practiced, it was affirmed that the BNS “practiced” the values of integrity, transparency, excellence in work, respect for human rights, and accountability while they only “moderately practiced” values of efficiency and equity on the other hand, MNAOs indicates that the BNSs “practiced” values of integrity, transparency, respect for human rights, and accountability BNSs only “moderately practiced” values of efficiency, equity, and excellence in work. Further, there is significant difference between the BNS and MNAO mean ratings. As a recommendation, it was put forward that the selection criteria for BNS be reviewed and consider factors that could improve nutrition program management including gender mainstreaming criteria. It is imperative to formulate a simplified version and an extensive practical approach to nutrition education training needs to be looked into when designing and modifying the existing programs.