bluuebunny/crossref_metadata_2025 huggingface dataset:
Strategic Decision-Making Enhancement Framework (SDE-Framework): Leveraging Neutrosophic Logic and Fuzzy Mathematics for Optimized Outcomes in IT Management and Computational Systems
Authors:   Department of Mathematics, Siddaganga Institute of Technology, Tumakuru – 572103, Karnataka, India, Shaik Shaik ,   Associate Professor,  Department of Computer Science and Engineering,  Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, Andhra Pradesh - 522302, INDIA,   Department of Mathematics, Velammal College of Engineering and Technology, Madurai- 625009, Tamil Nadu, INDIA.,   Associate Professor, Department of Computer Science and Engineering, Vignan Institute of Technology and Science, Hyderabad - 508284, INDIA,   Department of Mathematics, Vel Tech Rangarajan Dr Sagunthala R  D Institute of Science and Technology, Chennai – 600062, Tamil Nadu, INDIA.,   Assistant Professor, Department of Mathematics, R.M.K College of Engineering and Technology, Puduvoyal – 601206, Chennai, Tamil Nadu, INDIA, .. Shaik Khaja , Pushpalatha A. P. , Srinivas Vadali , Premalatha M. , R. Sakthi.
Published: May 2024

The created SDE-Framework combines neutronosophic logic and fuzzy mathematics in a novel method, aiming at facilitating more informed decision outcomes in computational systems and information technology management. This method hopes to aid in determining strategic solutions by controlling the expected sophistication and ambiguity in these two technologically dynamic industries. Neutronosophic logic divides data into three components: truth, indeterminacy, and falsity, build an exhaustive technique for addressing contradiction and indeterminacy. This significantly increases the method by enabling a more complete exploration of potential options with ambiguous and inadequate data. Second, the fuzzy mathematics gives a valuable contribution. It offers a refined method for managing the levels of probability and certainty through membership features, resulting in more exact and flexible evaluations. By the usage of such compared sophisticated mathematics concepts, SDE-Framework addresses potential decision-making scenarios by letting the computer formulates do the judgements for the determinable and in determinable explicit data. The subsequent crucial parameters are adopted to tolerance values: validity and responsibility, falseness foreach, indeterminacy magnitude to each, and truth value. This guarantees its combination of complexity supportive rand reading of actual surroundings.
Generalized p-Transmuted Neutrosophic Distributions: Theory and its Applications
Authors:   Assistant Professor, Department of Statistics, Madras Christian College, East Tambaram - 600 059, Chengalpattu, Tamilnadu., Abdul Abdul ,   Assistant Professor (Selection Grade), Department of Mathematics, Nirmala College for Women, Red Fields, Coimbatore - 641 015, Tamilnadu,   Assistant Professor, CHRIST (Deemed to be University), Bangalore - 560 029, Karnataka,   Assistant Professor, CHRIST (Deemed to be University), Bangalore - 560 029, Karnataka,   Assistant Professor, CHRIST (Deemed to be University), Bangalore - 560 029, Karnataka,   Assistant Professor, CHRIST (Deemed to be University), Bangalore - 560 029, Karnataka, Mohana K. , Devanayan David Winster P. , Krishnaprasad Krishnaprasad , Sandhya D. , SV Pradeep Kumar
Published: May 2024

The study of neutrosophy offers a fresh approach for handling uncertain data with adaptability. This article explores the application of neutrosophic probability distribution in constructing a transmuted neutrosophic framework. Specifically, it introduces a generalized transmuted neutrosophic distribution. Building upon this generalization, quadratic and cubic transmuted distributions are developed and examined alongside certain lifetime distributions serving as foundational neutrosophic models. Additionally, an empirical investigation is conducted to assess the practicality and versatility of these distributions in real-world contexts.
Using Major Pathway and Compound Analysis Methods To Identify Factors Affecting Diabetes
Authors:   Southern technical university, technical institute of Basrah, Basrah, Iraq., Zainab Zainab
Published: May 2024

Legal analysis is one of the important methods to study the interrelationships between two types of variables. an important use of this analysis is to reduce the data. Many studies use this analysis as a way to study the interrelationships between two types of variables. There have been no empirical studies of the use of legal analysis as a method. From my point of view, this study aims to shed light on how to use legal analysis as a means of factor analysis, and to show how to apply it in this field by dealing with a practical problem in the active field. The applied problem includes the study of the factorial analysis, the method of the main compounds, the method of path analysis, and the compatibility between them on two types of data, represented by identifying the factors associated with diabetes, and then identifying the variables that affect the rise in the measurement of sugar two hours after eating. impact according to priority and importance.
Linear Codes over Finite Fields Based On Greedy Algorithms and Their Applications
Authors:   Online Islamic University, Department Of Science and Information Technology, Doha, Qatar, admin admin
Published: May 2024

In this paper we prove that for any ordered basis of a vector space there is a basis for which the greedy code generated using the B-ordering is linear with respect to , where B2 is derived from by a lower triangular matrix P; . In Addition we prove a similar result for self-orthogonal greedy codes.
Finding The HK Completions of Some Sequence Spaces
Authors:   Hama University, Department of Mathematics, Hama, Syria, Husain Husain
Published: May 2024

In this paper, we prove the following result: If the space (the finite sequences) is equipped with the norm which is naturally induced by a positive definite Hermitian and diagonally blockwise constructed matrix, then an HK completion exists. Also, we investigate our result through many illustrated examples.
Marketing Strategy Innovation: A Study on Costa's Brand Power Enhancement in China
Authors: Gan Jue
Published: May 2024

With the development of the times, Chinese people's demand for coffee has increased, which also makes the coffee industry develop rapidly. Tens of thousands of coffee shops are increasing their number every day. However, there is one coffee shop that is gradually disappearing from the Chinese landscape: COSTA. The purpose of this study is to take COSTA as an example to study the characteristics of the development trend of the coffee industry. This study analyzes the reasons behind the large reduction in the number of COSTA stores in China from the perspective of marketing management strategies, and further studies are divided into marketing and product sectors. This study concludes that the reason for the decrease in the number of COSTA stores is the lack of innovative and trendy taste designs and the adjustment of localized taste habits. The environment of offline stores does not have a local festival atmosphere and diversified service provision. At the same time, this study also puts forward suggestions for COSTA's future development, such as adjusting brand taste, localization of product design, and innovation based on hot topics in China. The study hopes to provide references for COSTA and other coffee shops in the same industry.
Research on the Development Strategy of Chinese Second-Dimensional Mobile Games - A Case Study Based on Genshin Impact
Authors: Yang Shengjie
Published: May 2024

With the rapid development of technology and the continuous growth of people's entertainment needs, second-dimensional mobile games have become an undeniable force in the global gaming market, with limitless prospects and business opportunities. However, to stand out in this fiercely competitive market, it is still necessary to carefully explore the development strategies and make judgments and decisions that fit the times. This paper takes the development of Genshin Impact, a leading Chinese second-dimensional game, as a specific case, and uses the SWOT analysis method to explore its advantages, disadvantages, opportunities, and threats in development, thereby studying the current state of the second-dimensional mobile gaming industry. The research results show that Genshin Impact has the advantages of a large second-dimensional user base with strong spending power and significant resource investment by its developer, miHoYo; but also faces the disadvantage of a significant reduction in player numbers; at the same time, it encounters opportunities with the increase in residents' income and the rapid development of cloud gaming platforms; as well as threats from intense market competition and strict game regulatory policies in China. Furthermore, based on the results of the SWOT analysis, this paper provides suggestions for strengthening innovation and cooperation, increasing game publicity efforts, improving regulatory response capabilities, and expanding revenue channels, pointing the way for the future development of Genshin Impact and the second-dimensional mobile gaming industry.
Multi-factor Strategy Using Linear Weighting Model and Time Series Analysis of Returns
Authors: Ye Kaifan
Published: May 2024

Quantitative methods of stock picking and timing have become a popular approach today, and choosing good factors and quality models can often lead to high yields. In the current Chinese stock market, the small-cap factor has an amazing performance. In recent years, simply through the small-cap factor stock selection can get more than 40% annualized return. In this paper, the author intends to perform factor clustering through the clustering method, select quality factors from each category to form a factor portfolio, and solve the pre-coefficients of each factor through the linear regression model as the calculation of the weights, and then combine the small-cap factor with the resulting composite score to pick stocks. After the completion of the strategy, the robustness and feasibility of the strategy is analyzed through time series analysis of daily profit and loss, and the ARIMA model is used to predict the strategy's future returns in the future.
Analysis of Periodic and Seasonal Characteristics in Time Series: Taking the Dow Jones Industrial Average as an Example
Authors: Zhang Zheming
Published: May 2024

The objective of this research is to conduct a comprehensive analysis of the Dow Jones Industrial Average (DJIA) with a focus on identifying cyclical and seasonal patterns observed in long-term time series data. In order to accurately predict future market trends, this research employs a combination of fundamental and advanced forecasting techniques, including mean, naive, snaive, drift, Holt, Holt-Winters, and ARIMA models. Furthermore, the research explores the impact of return ratios on market investment opportunities. Customized portfolio optimization strategies are developed based on the risk profiles of different investors, along with quantitative trading strategies that effectively manage market risks using the Capital Asset Pricing Model (CAPM). The research shows that the price of Dow Jones Industrial Index has a gradual upward trend, and its return rate has a certain periodicity and seasonality. The aim of this research is to provide valuable insights into the fundamental framework of the American stock market, enabling economists, investors, and policymakers to make informed decisions.
The Analysis of Content-type Short Video Platform TikToks Marketing Strategies in China
Authors: Deng Kexin , Meng Cheng , Zhao Zixiong
Published: May 2024

TikTok is one of the most popular apps. Users of social media platforms around the world can create short videos and interact with each other. TikTok has changed the way people consume and has also influenced the marketing methods of enterprises. This paper aims to discuss and analyze the marketing strategies of TikTok, mainly focusing on the marketing cases of TikTok in the Chinese market, and provide marketing strategy suggestions for enterprises to better carry out brand promotion. TikTok is particularly popular among millennials because of the diversity and innovation of its video content. Short video advertising is an innovative strategy widely adopted by marketers. Businesses use TikTok as a platform to advertise and sell their products. With its high-quality content and huge number of fans, the TikTok short video platform has become the main front for enterprises to carry out marketing activities. Through big data algorithm recommendation technology and audience dissemination, it has obtained certain brand exposure and established a good brand effect. TikTok offers a number of marketing activities for businesses, such as content marketing and influencer marketing. Finally, the study evaluates advertising and suggests possible improvements and actionable recommendations, including improving the quality and authenticity of advertising to build a stronger relationship with consumers.
The Challenges and Optimization Strategies of Social Media Marketing in Cross-Border E-Commerce
Authors: Yan Ruojing
Published: May 2024

This article examines the symbiotic relationship between social media platforms and cross-border e-commerce, and discuss the opportunities and obstacles in the cross-border e-commerce operation in social media platforms. It outlines the exponential growth of cross-border trade thanks to internet connectivity and technological advancements. Social media platforms are playing a crucial role in the operation of cross-border e-commerce. The study identifies key challenges faced by cross-border e-commerce firms including language barriers, intellectual property infringement risks, and the complexities of social media management. Moreover, it proposes strategic solutions for the issues and challenges on, such as cultural integration, enhanced copyright awareness, and standardized social media management. By solving these challenges, businesses can unlock new chapters for cross-border e-commerce and achieve further success. This article provides insights and several suggestions, aiming to provide strategic solutions for companies running cross-border e-commerce businesses.
The Impact of the Real Estate Recession on China's Stock Market
Authors: Liu Jinbo
Published: May 2024

This paper makes a predictive analysis of the correlation between housing prices and CSI 300 index. The article selects the national average annual housing prices from 2006 to 2022 and the annual average index of China's CSI 300 Index from 2006 to 2022. The time series model was used to predict the future housing price trend and the impact of government policy is considered as well. Government factors are measured by the China Economic Uncertainty Index (CEPUI). In the absence of the government's regulation, China's housing prices in the next few years, will have a sharp decline. At the same time, the CSI 300 index will fall to the level of about 3000. When the government factor is added to the model, housing prices will only fall slightly, and the CSI 300 will remain basically unchanged. With the help of the government, Chinese house prices will fall slightly and the CSI 300 index will be basically unchanged. This paper provides empirical analysis for the study of the Chinese stock market.
Marketing Strategy of the Coffee Industry under High Saturation of Globalized Brands-Take Luckin Coffee as an Example
Authors: Xiao Jinyi
Published: May 2024

With the arrival of the "Internet +" era, the marketing mode of coffee products is also undergoing constant changes, and the rise of the "new retail" sales model has brought great impact and challenges to the traditional marketing model. This paper will take the typical representative of this business model, Luckin Coffee, as an example, using qualitative research, STP theory, marketing theory, and the case study method to analyze. The article mainly discusses how to utilize and innovate the existing competitive advantages and business model of Luckin coffee, by analyzing and evaluating the strengths, weaknesses, threats, and challenges of Luckin coffee's pricing strategy, product strategy, and promotional strategy to realize precision marketing, introduce the relevant information and some marketing strategies of Starbucks, and borrow from Starbucks' strengths in product marketing, to propose solutions to the the current marketing state of Luckin Coffee: Customer-oriented, while focusing on product differentiation, and through effective "online + offline" publicity to achieve precision marketing and help the coffee industry diversify and develop sustainably under the high saturation of global coffee brands.
A Comparative Analysis of Product Positioning Strategies in the Global Electric Vehicle Market: Insights from Leading Brands and Emerging Markets
Authors: Wang Zhaoyan
Published: May 2024

This paper conducts a comprehensive comparative analysis of product positioning strategies in the global electric vehicle (EV) market, focusing on insights from leading brands such as Tesla and emerging market players like Build Your Dream (BYD). Through an examination of technology innovation, product features, market penetration strategies, pricing models, sustainability, and environmental policies, the study highlights the diverse approaches companies adopt to navigate the rapidly evolving EV landscape. The analysis reveals that technological innovation, particularly in battery technology, drive systems, and autonomous driving capabilities, plays a crucial role in differentiating brands and shaping consumer preferences. Market penetration strategies and pricing models further illustrate how companies adapt to competitive and economic dynamics to maximize their global footprint. Additionally, the paper explores how sustainability and environmental policies reflect corporate responsibility and serve as key components of brand and product positioning strategies. The findings suggest that a deep understanding of these multifaceted aspects is essential for EV manufacturers to achieve long-term success in a market characterized by intense competition and high consumer expectations.
Երևանի մթնոլորտային օդում փոշու հիմնական աղբյուրների որոշման խնդիրները
Authors: Ավագյան Մարիամ
Published: May 2024

Երևանի մթնոլորտային օդի որակը, հատկապես վերջին հինգ տարիների ընթացքում, անկում է ապրում: Համաձայն ՀՀ ՇՄՆ «Հիդրոօդերևութաբանության և մոնիթորինգի կենտրոն» ՊՈԱԿ-ի տվյալների` օդի որակի անկման հիմնական պատճառ է նաև օդում փոշու քանակի աճը: Երևանի օդում, հատկապես ամառային զբոսաշրջային շրջանին, փոշու քանակը դարձել է խնդրահարույց, վնասում է տնտեսությանն ու առողջապահությանը: Աշխատանքում իրակա­նաց­վել է ՀՀ ՇՄՆ «Հիդրոօդերևութաբանության և մոնիթորինգի կենտրոն» ՊՈԱԿ-ի կայք էջում բերված չափումների համեմատական վերլուծություն և արվել է եզրակացություն, որ օդում տրանս­պորտով պայմանավորված փոշու քանակները որոշիչ չեն: Քաղաքի փոշու հիմնական աղբյուր են հանդիսանում «Մթնոլորտային օդի պահպանության մասին» ՀՀ օրենքի պահանջ­ները շրջանցող քաղաքի վարչական տարածքի մեջ եղած 39 քարի և ավազի մշակման հանքերը և շինարարությունը:
Метод оценки подземных территорий города Еревана как объектов двойного назначения
Authors: Манвелян Зара , Микаелян Аракся , Саркисян Лилит
Published: May 2024

Во многих странах последние десятилетия характеризуются расширением и развитием городов, а также растущим числом природных и техногенных   катастроф. В связи с отмеченными тенденциями, актуальной становится задача размещения части городских сооружений различ­ного назначения под землей, а также проектирование и эксплуатация этих объектов в условиях чрезвычайных ситуаций. Целью работы является анализ возможности использования городских подземных территорий г. Еревана в качестве объектов гражданской обороны. В ходе анализа был предложен метод оценки эффективного использования подземных сооружений с помощью эко-экономических параметров и способы доведения их защитных свойств до уровня, соответству­ю­щего требованиям МЧС РА. Выявлена математическая зависимость используемого объема подзем­ного сооружения от количества укрываемых людей и необходимой вентиляции. Материал иссле­дования доказываeт экономическую эффективность использования город­ских подземных терри­торий в качестве объектов двойного назначения.
Վարորդների կողմից հեռախոսի կամ գաջեթի օգտագործման ազդեցությունը ճանապարհատրանսպորտային պատահարների առաջացման վրա
Authors: Վարդանյան Եղիազար , Խաչատրյան Գարիկ , Հարությունյան Վալերիկ , Հարությունյան Անահիտ , Մոսիկյան Կարապետ
Published: May 2024

Հոդվածում քննարկված է երթևեկության ընթացքում վարորդի կողմից հեռախոսի կամ այլ գաջեթի օգտագործման հետևանքով ռեակցիայի տևողության մեծացման արդյունքում ավտո­մո­բիլի արգելակման ուղու և ընթացքի ուղղության փոփոխությունը։ Դիտարկված են ճանապարհ­ների կորագիծ և ուղիղ տեղամասերում ավտոմոբիլի շարժման ուղղության, արգելակման ուղու փոփոխության պատճառով ճանապարհատրանսպորտային պատահարների (ՃՏՊ) առաջացման հավանականությունը։ Դիտարկված են դիագրամներ՝ ճանապարհի կորագիծ հատվածում ավտո­մո­բիլի շարժման հետագիծը վարորդի բնականոն և ուշացած ռեակցիայի դեպքում, ավտոմոբիլի կանգառման ուղու տարբերությունը՝ կախված ռեակցիայի տևողության ուշացումից, և կանգառ­ման ուղու փոփոխությունը՝ կախված կցման գործակցից։ Իրականացված հետազոտությունների արդյունքներով ապացուցված է, որ անհրաժեշտ է ՃՏՊ հետաքննությունների ժամանակ արձա­նագրել պատահարին նախորդող պահին վարորդների կողմից հեռախոսի կամ այլ գաջեթի օգ­տա­գործման հանգամանքը։
Predicting Complications in 153 Lumbar Pedicle Subtraction Osteotomies by a Single Surgeon Over a 6-Year Period
Authors: Baker Seth C. , Lucasti Christopher , Graham Benjamin C. , Scott Maxwell M. , Vallee Emily K. , Kowalski David , Patel Dil V. , Hamill Christopher L.
Published: May 2024

Introduction:

Pedicle subtraction osteotomy (PSO) is a complex surgical procedure that provides correction of moderate sagittal imbalance. Surgical complications have adverse effects on patient outcomes and healthcare costs, making it imperative for clinical researchers to focus on minimizing complications. However, when it comes to risk modeling of PSO surgery, there is currently no consensus on which patient characteristics or measures should be used. This study aimed to describe complications and compare the performance of various sociodemographic characteristics, surgical variables, and established risk indices in predicting postoperative complications, infections, and readmissions after lumbar PSO surgeries.

Methods:

A review was conducted on 191 patients who underwent PSO surgery at a single institution by a single fellowship-trained orthopaedic spine surgeon between January 1, 2018, and December 31, 2021. Demographic, intraoperative, and postoperative data within 30 days, 1 year, and 2 years of the index procedure were evaluated. Descriptive statistics, t-test, chi-squared analysis, and logistic regression models were used.

Results:

Intraoperative complications were significantly associated with coronary artery disease (odds ratios [OR] 3.95, P = 0.03) and operating room time (OR 1.01, P = 0.006). 30-day complications were significantly cardiovascular disease (OR 2.68, P = 0.04) and levels fused (OR 1.10, P = 0.04). 2-year complications were significantly associated with cardiovascular disease (OR 2.85, P = 0.02). 30-day readmissions were significantly associated with sex (4.47, 0.04) and length of hospital stay (χ2 = 0.07, P = 0.04). 2-year readmissions were significantly associated with age (χ2 = 0.50, P = 0.03), hypertension (χ2 = 4.64, P = 0.03), revision surgeries (χ2 = 5.46, P = 0.02), and length of hospital stay (χ2 = 0.07, P = 0.03).

Discussion:

This study found that patients with coronary vascular disease and longer fusions were at higher risk of postoperative complications and patients with notable intraoperative blood loss were at higher risk of postoperative infections. In addition, physicians should closely follow patients with extended postoperative hospital stays, with advanced age, and undergoing revision surgery because these patients were more likely to be readmitted to the hospital.
The Analysis of English Textbooks for Senior High School towards The Characteristics of Microlearning
Authors: Ariyanti Sartika Dwi , Seli Fenny Yutika
Published: May 2024

The COVID-19 pandemic has fundamentally changed the face of English language teaching, creating both obstacles and opportunities for students and teachers. Since textbooks play an important role in providing organized and complete learning materials, this study aims to examine the requirements of English textbooks for twelfth-grade high schools that use microlearning features. The goal is to investigate the feasibility of using microlearning as an effective strategy for textbook use in English language teaching for twelfth-grade students in Indonesia. This study is an analytical study that focuses on several aspects of textbooks. The alignment with the curriculum, the relevancy of material, the appropriateness of teaching techniques, and the fit for the requirements and characteristics of twelfth-grade high school students are all key topics of inquiry. Furthermore, the study investigates the extent to which these textbooks meet local cultural norms and expectations, ensuring that Indonesian English learners have a meaningful learning experience. The outcomes of this study shed light on the strengths and shortcomings of the selected textbooks, offering useful insights into their effectiveness in supporting English language acquisition. Moreover, the report makes pertinent recommendations for prospective enhancements and future research paths
Respon Pertumbuhan Bibit Tembakau (Nicotiana Tabacum L.) Dengan Pengaplikasian Limbah Solid Pada Media Tanam
Authors: Kusnadi Irfan , Nasution Rizki Nia Sukri , Daulay Azri Gilang Ramdhan
Published: May 2024

Tobacco seeding can be done in several ways, namely conventionally and polybags or with the use of seed-trays. This study was conducted with the aim of knowing the effect of solid waste on planting media on the growth of tobacco seedlings. To determine the effect of solid waste on the best growing media on the growth of tobacco seedlings. This study used a completely randomised design (CRD) with 4 treatments and 6 replications. With the following treatments: S0 = Topsoil 100%, S1 = Top soil 75% and Solid 25% S2 = Top soil 50% and Solid 50% S3 = Top soil 25% and Solid 75%. The data obtained were analysed with F test. LSD (Least Significant Difference) test at the α = 5% level. The results showed that the treatment of the composition of solid waste in the growing media on the growth of tobacco seedlings had a significant effect on the growth of tobacco seedlings, namely in the parameters of seedling height, number of leaves, stem diameter, leaf length, leaf width. The treatment of the composition of planting media top soil 25% and solid 75% is the best treatment in the growth of tobacco seedlings.
TESTING MEAN REVERSION OF STOCK PRICES IN OECD COUNTRIES: EVIDENCE FROM FOURIER THRESHOLD UNIT ROOT TEST
Authors: Konat Gökhan , İşlek Hüseyin
Published: May 2024

Researchers focus on whether stock prices have a unit root, that is, whether they contain a random walk process. If stock prices have a stationary process, that is, if they return to the mean, the effects of shocks are temporary, and it is interpreted that they will return to the trend path over time. If stock prices have transitory shocks, it allows for the prediction of future movements based on past behavior in terms of investment. This study investigates whether stock prices revert to the mean and thus have a random walk process. For this purpose, the Fourier Threshold Unit Root (FTUR) test based on the test methodology of Caner and Hansen (2001) for the period January 1990–January 2021 for 26 OECD countries is applied. The FTUR test takes into account both structural breaks and nonlinearities. The purpose of using Fourier functions to account for structural changes is that they are not affected by the number, location, or shape of breaks. Thus, the power of the test increases. According to the results of this test, stock prices in Austria, Canada, Germany, Italy, New Zealand, Spain, and the UK are linear. Therefore, Fourier Augmented Dickey-Fuller (FADF) unit root analysis was performed for these countries. The FTUR test was performed in other countries. According to the results of FTUR and FADF unit root tests, stock prices are found to contain unit roots in some countries except Italy. In some countries, stock prices have a partial unit root structure. In other words, the effects of shocks are permanent, and it is concluded that future returns cannot be predicted in these countries with the random walk process.
YÜKSEK FREKANSLI TÜRK LİRASI GETİRİLERİNDE YAPISAL KIRILMALARIN BELİRLENMESİ
Authors: Uluceviz Erhan
Published: May 2024

Döviz piyasası yaklaşık 7.5 trilyon ABD doları ortalama günlük işlem hacmi ile dünyanın en büyük piyasasıdır. Türk lirası ise son dönemde düşen işlem hacmine rağmen tarihsel olarak yaklaşık %1’lik işlem hacmi oranı ile önemli gelişen ülke para birimlerindendir. Bu çalışmada, yaklaşık 584 milyon adet milisaniye detayında ölçülmüş 1. düzey emir defteri tik verisinden hareketle; Türk lirasının küresel olarak en çok işlem gören üç para birimi (USD, EUR, JPY) ile oluşturduğu döviz çiftleri 5 dakikadan 1 güne kadar 8 farklı frekansta toplulaştırılmıştır. Elde edilen serilerin getirilerinde gerçekleşen koşulsuz varyans değişimleri Inclan-Tiao, Kappa 1 ve Kappa 2 testleri ile belirlenmiştir. Testlerin sonucunda, teoriyle uyumlu olarak getiri serilerinin pozitif fazla basıklık ve koşullu varyans özelliklerini göz önüne alan Kappa 2 testinin daha başarılı olduğu bulunmuştur.Beklentilerle uyumlu olacak şekilde: (i) 2007-2009 Küresel Finans Krizi, (ii) Mayıs 2013 Fed parasal sıkılaştırma planı başlangıcı, (iii) Ağustos 2018 Türk lirasına karşı yapılan kur atağı ve (iv) Aralık 2021 Türk lirası ani kur oynaklığı artışı ve takip eden Rusya-Ukrayna savaşı dönemleri artan yapısal kırılma sayılarıyla eş zamanlıdır.
Subtle membrane changes in cryopreserved bull spermatozoa when modified temperature drop rates are used during the first phase of freezing
Authors: Kumar Alok , Saxena Atul , Anand Mukul
Published: May 2024

BACKGROUND: Cryopreservation of spermatozoa involves reduction of temperature to a subzero level, leading to increased longevity. However, temperature reduction has a significant effect on sperm membranes. OBJECTIVE: To evaluate the impact of the rate of temperature drop
during the first phase of freezing on subtle membrane changes in cryopreserved bull spermatozoa. MATERIALS AND METHODS: Thirty-two ejaculates from four bulls (eight ejaculates/bull) were collected using artificial vagina while keeping a 3 to 4 days gap between two collections. Diluted
semen samples were equilibrated at 5°C for 4 hours. The samples were then placed in a pre-programmed semen freezer. The first phase of freezing, that is, 5°C till −10°C was subjected to three different temperature drop rates: accelerated (F1), moderate (F2), and slow (F3),
at 20°C per min, 10°C per min and 5°C per min, respectively. After thawing, spermatozoa were assessed for percentage live, plasma, and acrosomal membrane integrity, along with the external appearance of phosphatidyl serine, indicating apoptosis. RESULTS: A significant difference
(p<0.05) in viability, plasma membrane integrity (HOS test), and acrosome membrane integrity (PSA test) was observed between F3 and the other groups. However, the parameters did not significantly differ between F1 and F2. The annexin V-PI assay (AN/PI) categorized four types of sperm
populations: non-apoptotic and viable (AN−/PI−), apoptotic and viable (AN+/PI−), non-apoptotic and non-viable (AN−/PI+), and apoptotic and non-viable (AN+/PI+). The proportion of spermatozoa with (AN−/PI−) and (AN+/PI+)
differed significantly (p<0.05) between F3 and the other groups. The values for apoptotic and viable (AN+/PI−) and non-apoptotic and non-viable (AN−/PI+) sperm were not significantly different among all freezing categories. CONCLUSION: A slower temperature
drop rate (freezing rate) during the first phase of freezing results in less damaging, subtle membrane changes.
CENÁRIO EPIDEMIOLÓGICO DAS DOENÇAS VIRAIS EMERGENTES E REEMERGENTES: UMA REVISÃO BIBLIOGRÁFICA
Authors: Cabral Letícia da Silva , Sá Marcos Vinicios Alves de , Sampaio Kauan Rasnhe Ferreira , Souto Maria Eduarda Aires , Murilo Beatriz Maria da Conceição , Santos Wanderson Paiva dos , Jesus Samuel Angelino Santos de , Carvalho Silvestre Santos , Oliveira Gabriel Henrique Morimã de , Nascimento Thiago Ruam
Published: May 2024

Enfermidades virais em ascensão no Brasil. Problema: de que forma os profissionais da área da saúde podem auxiliar na prevenção e promoção da saúde frente aos casos de doenças virais no Brasil? Objetivos: examinar a prevenção e promoção da saúde no contexto das doenças virais em ascensão no Brasil. Justificativa: As enfermidades causadas por vírus permanecem como um desafio de saúde pública, demandando ação e profissionalismo na sua prevenção. Todos são chamados a participar do debate e oferecer sugestões sobre como abordar o problema das doenças virais. Resultados: as doenças infecciosas tiveram um efeito sobre a humanidade desde os primeiros dias da civilização. A pesquisa em ciências biológicas e médicas tem se concentrado cada vez mais nos vírus e nas doenças virais, gerando descobertas significativas no campo da virologia. A melhor estratégia para lidar com as doenças virais é focar na sua prevenção, sendo que uma das principais alternativas é apostar na vacinação.
ELABORAÇÃO DE BEBIDA LÁCTEA FERMENTADA COM DIFERENTES CONCENTRAÇÕES DE SORO E ESTABILIZANTE
Authors: Souza Jessica dos Santos , Neves Daniele Santos , Santos Maria Layane dos , Santos Luiz Felipe de Santana , Carvalho Luana Caliandra Freitas de , Barbosa João Batista , Souza Danilo Santos , Reis Maycon Fagundes Teixeira
Published: May 2024

Bebida láctea é o produto elaborado a partir do soro, esse produto é rico em fonte de nutrientes. O soro de leite era jogado pelas indústrias de lacticínios no meio ambiente sem nenhum tipo de tratamento, contaminando o mesmo, porém, com o surgimento da bebida láctea, o soro passou a ter valor comercial. O objetivo desse trabalho foi elaborar 11 amostras de bebida láctea fermentada a partir de diferentes concentrações de soro e estabilizantes por meio do Delineamento Composto Central Rotacional (DCCR). A mesma foi elaborada seguindo a metodologia de Santos et al. (2008). A bebida foi realizada na Universidade Federal de Sergipe / Campus do Sertão, no laboratório 3 e para sua realização foi utilizado soro de leite, açúcar, leite, inoculo e estabilizante. Através das análises físico-químicas (acidez total, pH e sólidos solúveis total), microbiológica e análises sensorial foi possível identificar a qualidade da bebida. O pH das amostras variou entre 3,73 e 4,0 isso pode ser explicado pelo fato da continuidade da fermentação mesmo após a bebida pronta, já em relação ao SST, medido em °Brix, também apresentou pequena variação, entre 10 e 11, esses resultados são semelhantes ao encontrado por outros autores. A análise microbiológica apresentou resultado negativo para Salmonela e Listeria, estando apto para consumo. Através da análise sensorial foi possível determinar que a amostra 11 obteve melhor média geral, semelhante às amostras 8, 9 e 10, já que as mesmas tem a mesma concentração de soro, porém, as demais amostras também apresentaram resultados medianos, acima de 6 pontos, esses resultados podem ser explicados pelo fato de os provadores não terem hábito de fazer esse tipo de análise. A bebida láctea é uma forma de aproveitamento e agregar valo ao soro, pois o mesmo antes não tinha função e agora pode ser aproveitado na elaboração de novos produtos, já que a mesma é realizada por procedimento simples, sendo assim, uma forma das indústrias lucrar em cima da bebida.
PERFIL EPIDEMIOLÓGICO DE PACIENTES SUBMETIDOS À CINTILOGRAFIA DE PERFUSÃO MIOCÁRDICA
Authors: Moraes Alexandre Henrique Nunes de , Sousa Ivone Félix de , Almeida Rogério José de
Published: May 2024

As doenças cardiovasculares (DCV) figuram-se como a maior causa de morbimortalidade no Brasil. Possuem fatores de risco que causam a maior probabilidade de doenças crônicas. O objetivo foi analisar o perfil epidemiológico de pacientes submetidos a cintilografia de perfusão miocárdica (CPM) em uma clínica especializada em diagnóstico por imagem. É um estudo retrospectivo e analítico, realizado por meio da análise contidas nos prontuários de 2.207 pacientes submetidos à CPM. Os resultados relacionados à população com maior quantidade de resultados positivos para isquemia, durante a análise dos resultados do teste ergométrico são pessoas que fazem uso de medicamentos anti-hipertensivas, obesos, tabagistas, que possuíam como sintomatologia precordialgia atípica, dispneia/astenia, eram portadores de hipertensão arterial sistêmica, diabetes e/ou dislipidemia e tinham histórico de infarto agudo do miocárdio (IAM). Sobre a cintilografia de perfusão miocárdica (CPM), a população que apresentou maior associação foram os idosos, do sexo masculino, que fazem uso diário de medicamentos anti-hipertensivas, hipoglicemiantes e hipolipemiantes, que é ou já foi tabagista, que clinicamente apresentam clínica dor típica, que já realizaram cirurgia cardíaca, que possuem como doenças crônicas a hipertensão, o diabetes e a dislipidemia, além de possuírem histórico médico positivo para casos de IAM e Acidente Vascular Encefálico (AVE). O presente estudo elucidou a necessidade da avaliação clínica assertiva dentro das DCV, visando o melhor prognóstico e a individualização do atendimento cardiovascular.
Kinerja Tenaga Administrasi Sekolah Di SMP Negeri 02 Payaraman
Authors: Ardila Dela , Amilda Amilda , Safitri Dian
Published: May 2024

Tujuan dari penelitian ini untuk mengetahui kinerja tenaga administrasi sekolah di SMP Negeri 02 Payaraman. Penelitian ini menggunakan jenis penelitian kualitatif dan pendekatan deskriptif kualitatif untuk mendeskripsikan kinerja tenaga administrasi sekolah di SMP Negeri 02 Payaraman. Teknik pengumpulan data dalam penelitian ini adalah observasi, wawancara dan dokumentasi. Teknik analisis data yang digunakan dalam penelitian ini adalah melalui reduksi data, penyajian data, verifikasi dan kesimpulan. Pengecekan keabsahan data menggunakan langkah-langkah yaitu triangulasi sumber, triangulasi teknik dan triangulasi waktu. Adapun jumlah informan dalam penelitian ini yaitu 3 orang yaitu pertama kepala sekolah, kedua kepala tenaga administrasi, dan tenaga administrasi sekolah SMP Negeri 02 Payaraman. Hasil penelitian ini menunjukkan bahwa kinerja tenaga administrasi sekolah di SMP Negeri 02 Payaraman melaksanakan kedisiplinan, kerjasama, ketaatan, kompetensi profesional pegawai serta kuantitas kerja dengan baik dan optimal, namun untuk kehadiran masih terdapat keterlambatan yang dilakukan pegawai. Hal ini dapat mempengaruhi kinerja tenaga administrasi sekolah untuk itu penting bagi sekolah untuk mendorong semangat kerja para tenaga administrasi sekolah, dan bagi kepala sekolah untuk selalu memberikan motivasi kepada tenaga administrasi sekolah berupa ucapan terima kasih telah menyelesaikan tugas dan bertanggung jawab sebagai tenaga administrasi sekolah di SMP Negeri 02 Payaraman.
A Review on Blockchain Technology
Authors:   Department of CSE, JNN College of Engineering, B Pooja
Published: May 2024

Blockchain technology has emerged as a disruptive force with the potential to revolutionize various industries by offering decentralized, secure, and transparent solutions for data management and transactions. Initially conceptualized as the underlying technology for cryptocurrencies like Bitcoin, blockchain has evolved into a versatile tool applicable across diverse domains such as finance, supply chain management, healthcare, and government services. This paper provides an overview of blockchain technology, its fundamental principles, and key components. It explores the decentralized consensus mechanisms, cryptographic techniques, and data structures that underpin blockchain networks, ensuring immutability, transparency, and integrity of recorded transactions. Furthermore, the paper examines the challenges and opportunities associated with blockchain adoption, including scalability, interoperability, regulatory concerns, and environmental impact. Through a comprehensive review of existing literature and case studies, this research elucidates the potential benefits of blockchain technology, such as increased efficiency, reduced costs, enhanced security, and improved trust among participants. Additionally, it highlights ongoing developments, innovations, and future directions in blockchain research and implementation, emphasizing the need for interdisciplinary collaboration and regulatory frameworks to realize the full potential of this transformative technology. Keywords : IOT, blockchain, cryptocurrency, smart contracts, consensus algorithms, internet of things.
Delay Prediction of Aircraft Using Machine Learning Classifiers
Authors:   Siddhartha Institute of Technology and Sciences, Krishna, S. V. Satya
Published: May 2024

Accurate flight delay prediction is fundamental to establish the more efficient airline business. Recent studies have been focused on applying machine learning methods to predict the flight delay. Most of the previous prediction methods are conducted in a single route or airport. This paper explores a broader scope of factors which may potentially influence the flight delay, and compares several machine learning-based models in designed generalized flight delay prediction tasks. To build a dataset for the proposed scheme, automatic dependent surveillance broadcast (ADS-B) messages are received, pre-processed, and integrated with other information such as weather condition, flight schedule, and airport information. The designed prediction tasks contain different classification tasks and a regression task. Experimental results show that long short-term memory (LSTM) is capable of handling the obtained aviation sequence data, but over fitting problem occurs in our limited dataset. Compared with the previous schemes, the proposed random forest-based model can obtain higher prediction accuracy (90.2% for the binary classification) and can overcome the over fitting problem.
Smart Book Reader for Visual Impairment Person Using IoT Device and Deep Learning
Authors:   Dept. of CS&E, JNNCE, Shivamogga, India., S Narendra Kumar
Published: May 2024

People with normal vision can easily see the world around them and can read and write without difficulty. For those who are visually impaired, the Braille script enables them to read and write just like sighted individuals. According to WHO data from 2023, about 15 million people worldwide have significant vision loss. The Braille system uses cells with six raised dots, each dot numbered from one to six, arranged in two columns. This system is crucial for visually impaired individuals to keep up with the world around them. Providing Braille-assisted technology and incorporating it into daily life is essential to make life more comfortable and efficient for visually impaired people, enabling better communication with others. Key Words: Braille script, OBR.
Implementation of Car Damage Detection in Insurance Claims
Authors:   Computer Engineering, Sinhgad Academy of Engineering, Dhotre Prof. Soniya
Published: May 2024

The automotive industry is witnessing a growing demand for advanced safety and maintenance systems to enhance vehicle safety and reduce maintenance costs. Car damage detection plays a pivotal role in achieving these objectives. This abstract provides an overview of the concept of car damage detection, its importance, and the technologies and methodologies involved. Car damage detection refers to the process of identifying and assessing physical damage to a vehicle, such as dents, scratches, cracks, or structural deformities. It is essential for various stakeholders, including car owners, insurance companies, and automotive service providers, as it enables timely repair and maintenance, facilitates insurance claims, and ensures road safety. Key Words: CNN, Mask R-CNN, Image Analysis, Computer Vision, Machine Learning, Deep-Learning.
THE REAL ESTATE APPLICATION USING MERN STACK
Authors:   Department Of Computer Science and Engineering  IIMT College Of Engineering, Singh, Vaishnavi
Published: May 2024

A real estate application built using the MERN (MongoDB, Express.js, React, Node.js) stack could focus on several key elements. It might include a brief overview of the application's purpose, such as facilitating property listings, user interactions, and transactions. Additionally, it could mention the technologies used, their roles in the app, and how they come together to create a seamless real estate platform. It could also touch upon the user experience, the app's unique features, and the value it brings to both property buyers and sellers within the real estate market. Keys—React JS, MongoDB, Node JS, Express
Smart Traffic Signaling Using Machine Learning and IoT
Authors:   Department of Computer Science and Engineering, Jawaharlal Nehru New College of Engineering, Shimoga, B Sandeep
Published: May 2024

The project, titled “Smart Traffic Signaling using Machine Learning and IoT," introduces an innovative solution for optimizing traffic signal control. By harnessing the power of image processing, IoT, and machine learning, this project will be a real-time system that accurately assesses vehicle density at intersections. The project focuses on training a machine learning model to recognize various vehicle types, including bikes, cars, trucks, and heavy vehicles. This adaptive control mechanism aims to enhance traffic flow efficiency, reduce congestion, and contribute to the advancement of intelligent transportation systems. systems. Key Words: Machine learning, IoT, Image processing, Smart Traffic.
DEMOGRAPHIC CRISIS IN MODERN RUSSIA
Authors: Sheyhova Marina , Safonova Svetlana
Published: May 2024

The demographic situation in Russia requires close attention and analysis due to the relevance and significance of the socio–economic consequences.
The article examines the problem of the demographic crisis in modern Russia. The current causes of the demographic crisis and the decline in the birth rate are considered. The socio–economic consequences of a decrease in the population and a decrease in the birth rate are revealed. The data on the dynamics of the population, fertility, and mortality in Russia are presented. The forecast of the birth rate in Russia is given, the dynamics of the total birth rate in the period from 1960 to 2023 is studied.
The necessity and directions of developing additional measures aimed at overcoming the demographic crisis are substantiated.
The goals, objectives, and directions of the national project "Demography" are presented. In addition, measures of state support for young families aimed at increasing the birth rate were considered.