bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of the UK's Carbon Neutrality Dilemma and Solutions Exploration——Take Electric Vehicles for an Example
Authors: Lu Yuesong
Published: December 2022

In recent years, countries around the world have been striving to achieve carbon peaking and carbon neutrality. As the first country in the world to achieve carbon neutrality, the UK's road to and results of carbon neutrality are of some reference value and significance, and the overall process of carbon neutrality has been steadily progressing, even reaching its peak carbon target in 1991. However, the issue of carbon neutrality and environmental protection itself has not all had a positive impact. In the UK, it must be noted that despite the many laws and policies introduced in the institutional arrangements for the transition, the achievement of peak carbon in the UK was not entirely institutionally driven, but was to some extent related to the downward trend in the domestic economy, caught in a reactive energy dilemma, while, guided by the mandate of carbon neutrality, the UK followed the rest of the world in starting the process of transforming automotive energy to electric as a source of The task of market operation and security of energy is therefore increasing as vehicle models begin to gain momentum. This paper will analyse the current situation and problems of carbon neutrality in the UK, using residential electric vehicles as an example, and make recommendations from both the business and government sides.
Time Series Analysis and Prediction on Bitcoin
Authors: Huang Wanqi , Li Yizhuo , Zhao Yuhang , Zheng Lanfeng
Published: December 2022

Bitcoin is the most famous digital currency in the world and has become an investment asset. Prediction is one of the important matters in the investment market. In the economic field, there are different studies on the reasons for the price change of Bitcoin and how to predict the price trend of Bitcoin or how Bitcoin studies the market. Therefore, for Bitcoin, predicting the trend of Bitcoin price can effectively help Bitcoin investors. Data from www. Coingecko, the price of bitcoin is sorted according to the time sequence. Using the time series model, the change of bitcoin price in a specific period which is from 28 April 2013 to 22 August 2022 is calculated to predict the future trend of bitcoin price. Data preprocessing includes attributes removal, stationary test, and differencing. In predicting the price of Bitcoin, the ARIMA method that can produce high accuracy in short-term prediction is adopted. Use prediction test AIC and Check the residuals to select the best prediction model among the candidate models. The results of model testing show that AIC of ARIMA (5,1,2) is the smallest among all candidate models, and the results of residual check also show that ARIMA (5,1,2) model is the best model for predicting four periods.
Research On the Strategy of Social Mobile Application Going to Sea - Taking TikTok as An Example
Authors: Ma BoYu , Wang HaiYan
Published: December 2022

In recent years, short video, a form of Internet content dissemination, has become popular in China. With the rapid development of mobile terminals and the Internet today, short video platforms are increasingly favored by the general audience. Tiktok, which has a high market share in China's mobile social field, launched an overseas version of tiktok in due time. Because of its unique overseas competition strategy, Tik tok stands out from many competitors, showing characteristics of high revenue growth rate, large user stickiness and fast expansion speed, and is well received by overseas users. Based on a large amount of information collected, this paper first analyses the basic overview of TikTok. Then, an in-depth analysis of TikTok's competitive strategy is presented from different aspects, such as the company's growth path, its main competitors, and the strengths and weaknesses of its products. Finally, TikTok's successful experience is summarised, and some suggestions are made to address the current problems, aiming to provide a positive reference for mobile social applications abroad.
A DuPont-based Case Study on Bilibili
Authors: Jia Yaxin
Published: December 2022

The DuPont financial analysis system depicts an organization's present financial status more accurately than many other systems. The improvement of my country's economy has led to higher demands for enterprises' management systems. Businesses must strengthen their internal management. To achieve the aims described above, it's important to evaluate the financial status of businesses, especially listed organisations' management.This article makes a study of Bilibili's financial position from 2019 to 2021 using the DuPont financial analysis system as its primary resource. The profitability of Bilibili, as well as its operational capacity, solvency, and growth potential, are all subjected to an examination by way of a DuPont study. Analysis of four features, discussion of the challenges that its financial management faces.
Whether the Group's Margin Impact Will Vary Based on Volume
Authors: Ai Zeyu
Published: December 2022

In the general environment of the epidemic, various industries and markets have been affected to varying degrees. This article will compare some of the measures taken by the luxury industry during the epidemic, as well as the changes in the economy, to determine whether the impact on the group suffered from the market impact differently depending on the size of the group. The study focuses on LVMH and Burberry's operations, supply chain, and market results during the epidemic as the main objectives of the study. The study found that although the operating plans and development goals of the two luxury groups deviated significantly, the earnings rate fluctuations tended to be the same after the market impact, which proved that the fluctuation of interest rates due to the market impact was consistent and not related to the size of the group.
The impact of Word of Mouth on employee turnover rate
Authors: Jing Yaoyi
Published: December 2022

In the general environment, many companies have employees leaving or jumping ship en masse is a tremendous challenge for company culture, brand reputation, and team management. A large part of the reason for this is related to the reasons why employees leave. This paper presents the impact of negative emotions and turnover rates due to unfulfilled personal needs (according to Maslow's theory of individual needs). The paper uses questionnaires, in-depth personal interviews, and anonymous back surveys, emphasizing sample collection, primary data acquisition, sampling, and other practical approaches to conclude that negative emotions and word-of-mouth communication are strongly correlated and influence turnover rates and corporate management risks some extent.
The Distributional Impacts of Carbon Pricing on Households: A Literature Review
Authors: Zhou Xueyang
Published: December 2022

Assessing macroeconomic impacts is essential to the design of cost-effective market-based environmental policies. As carbon pricing instruments (CPIs) take the center of the stage for emission abatement, their regressive nature gains attention and becomes a potential political obstacle to their implementation. Numerous studies analyze the distributional impacts of CPIs in individual jurisdictions and obtain various results, but there lacks an integrated view of patterns and variations of the results. By reviewing existing literature, this study finds that CPIs are generally regressive in developed countries with a few exceptions. For developing countries, no unanimous outcome is reached, but the results could be generalized into predictable patterns given the economic structures of the jurisdictions and designs of CPIs.
The International Practice of Carbon Tax and its Implications for China
Authors: Wu Zhengqing
Published: December 2022

With the emergence of environmental problems such as global warming, sea level rise and frequent climate extremes, countries around the world are now placing great emphasis on controlling carbon emissions, and China is also actively reforming its environmental tax by introducing a carbon tax to align with international standards. This paper summarises the experience of carbon taxation in Europe and Japan, and proposes policy recommendations in the light of the current economic development and actual situation in China, taking into account the experience of carbon taxation countries. This paper argues that China's carbon tax rate should develop in a stepwise manner, gradually increasing from low to high over time, and that the carbon tax should only be levied on the upstream production stage, but not on the downstream consumption stage for the time being, with the tax base based on the carbon content of energy products. In terms of carbon tax revenue, this paper argues that the "double dividend" effect of the carbon tax should be fully utilised to stimulate the economy, actively promote the rapid recovery and development of the affected industries in the post-epidemic era, and reduce the burden on households. In terms of tax relief, a certain degree of incentive should be given to enterprises that have achieved their emission reduction targets, and attention should be paid to the carbon tax balance of domestic industries in bilateral trade.
Business Risk of the Artificial Intelligence Industry in China
Authors: Wang Bateer
Published: December 2022

As one of the rapidly growing markets, artificial intelligence (AI) has seen increased adoption in recent years, As China's AI market has great investment potential, this research analyzes the business risks of Chinese AI enterprises in three different fields – iFLYTEK, TOPBAND and Inspur Electronic Information. By calculating asset beta value and analyzing multivariate factors, this research is committed to providing investors with inspiration for investment in China's AI market. The consequence of the research shows that the riskiest corporation is iFLYTEK, followed by TOPBAND and Inspur Electronic Information. This result is caused by internal factors - operating business categories, R&D, and external factors - the competition in the market segment and the intensity of government support. Through multivariate factor analysis, this research suggests that investors should pay more attention to the R&D capabilities of Chinese AI enterprises, the degree of competition in their market segments, and the degree of government policy support.
Investment Value in China’s Artificial Intelligence Industry
Authors: Yang Xuan
Published: December 2022

At present, various AI products are increasingly connected with people, playing a crucial role in their lives. It can be seen from the report on China's artificial intelligence industry that the market size of China's AI market is growing rapidly with great development potential. Moreover, investing in China’s AI market is also the top choice for numerous investors. Hence, this paper focuses on studying the development trend and potential problems of companies in China's AI market, and eliciting relevant investment suggestions, through analyzing three representative China firms- iFLYTEK, Baidu, and HUNDSUN. To analyze, this research uses the CAPM model and the calculation formula of WACC to calculate the WACC, and evaluate their profitability by calculating their gross profit margin and net income margin respectively. From the results, it can be seen there exists profitability issue of iFLYTEK and Baidu, due to the main factor that they are trying to develop in new fields resulting in high R&D expenses and selling expenses generated without a significant result in their revenue. The profitability of HUNDSUN seems optimistic, yet its R&D expenses and COGS are also increasing significantly in 2021, which are used to maintain the market share of core businesses, develop new businesses and upgrade core technologies. For those companies, they diversify their business structure for further growth opportunities due to their core business markets are close to saturation; however, this will also increase their business risk. Currently, in conclusion, the great development chances of China’s AI market coexist with risks.
Marketing Analysis of JDE Peet's in Chinese Coffee Market
Authors: Wang Zhiya
Published: December 2022

With the continuous improvement of the income level of Chinese residents and the popularity of coffee culture among Chinese consumers, the annual coffee consumption in the Chinese market continues to rise. More and more coffee brands are entering the market, intensifying market competition. Large chain brands, represented by Starbucks, have gradually occupied an absolute leading position in the fierce market competition. JDE Peet's is the father of Starbucks, but it is a new player in the Chinese market. Therefore, this paper is guided by the research results of the coffee industry in the world and the Chinese market, adopts the SWOT analysis method and analyzes the company's financial data to analyze Peet's business status, existing problems, internal and external environment, and its own advantages and disadvantages in the Chinese market. Through analysis, it is found that although Peet's has gradually opened up the consumer market in big cities such as Beijing and Shanghai in China, the market is still too narrow, and there is no strong competitiveness, and there are still a series of brand positioning that is not accurate and clear. In the face of strong Starbucks and Luckin Coffee, it is obviously impossible to win in the market competition. Therefore, JDE Peet's doesn't currently have big investment value.
Usage of Beta in Risk Analysis of Coffee Retailers: Study of Dutch bros and Starbucks
Authors: He Qishu
Published: December 2022

As a beverage favoured by consumers around the world, coffee and coffee market is developing rapidly. There are now many coffee retail companies running famous coffee brands, whose business mode and feature are worth analyzing. This article selects Dutch bros and Starbucks as example, and uses equity beta and asset beta to find out the state of business and risk of the two companies. The data shows that Dutch bros is more unpredictable with higher risk. On the other hand, Starbucks has a steady cash flow and return despite of high equity beta and unusual negative asset beta. The analysis also points out that fiscal data alone may be misleading while looking into a company, and other factors including stage of development and company policies shall be taken into consideration as well.
Research on the Time Series Analysis of Core CPI Index during the COVID-19 Pandemic
Authors: Wu Yuxin
Published: December 2022

People's lives have altered in recent years as a result of the COVID-19 outbreak. People have modified their habits to adapt to the world after the pandemic. The inflation rate is a crucial index that represents the stage of lifestyles high-quality of people, as well as a critical index that indicates the developments and changes of economy. Global incidents continually play an necessary position in altering the inflation rate. The COVID-19 pandemic is one of the most influential incidents in people’s each day lifestyles in the previous decades. This paper tries to figure out how the COVID-19 pandemic influences the inflation rate in the United States or people’s expectation on the change of inflation rate.e Apart from that, this paper discusses the several indexes that represent the inflation rate as well. This paper also covers the research of the Core CPI, by using time series analysis with the help of R language and R-studio, and tries to draw conclusion from the analysis and related literature.
DEPRESSION AMONG STUDENTS AT THUYLOI UNIVERSITY
Authors: Lê Công Thiện , Nguyễn Văn Tuấn , Nguyễn Thành Long , Đào Ngọc Ánh , Phùng Trần Thu Hằng , Phạm Thị Hiền , Vũ Thị Mỹ Hạnh , Cao Thị Ánh Tuyết , Nguyễn Đình Trinh
Published: December 2022

Background: In recent years, the rate of population suffering from depression is increasing, especially depression in adolescents aged 14-29 years old. We found that no study measures the depression in students at ThuyLoi university, so we want to measure it. Subjects and methods: A cross-sectional study was conducted among students of ThuyLoi university. Result: Our study shows that depression by DASS 21 among the 2478 students, 14.2% of students participating in the interview experience major depression problems; 9.4% of students had moderate depression and 7.6% of students had mild depression. First year students, girl students, and students with childhood trauma have a higher percentage of having depression than other groups. Conclusion: Thus, through the results of practical research, we found that: the number of students with psychological problems, especially mild to very severe depression, accounts for nearly half of the students participating in the interview. This shows that this is a very urgent issue in universities in general and ThuyLoi University in particular. University should coordinate with medical facilities to regularly and timely advises students on psychological issues to improve the quality of students' health in the most comprehensive way.
Pengaruh Kompetensi, Peran Aparat Desa, Dan Pemanfaatan Teknologi Informasi Terhadap Akuntabilitas Pengelolaan Keuangan Desa Di Kecamatan Mojogedang Karanganyar Jawa Tengah
Authors: Kuncahyo Hanif Dwi , Dharmakarja I Gede Made Artha
Published: December 2022

Ciri-ciri Tata Pemerintahan yang baik ditunjukkan adanya akuntabilitas pengelolaan keuangan. Pemerintah desa perlu menerapkan prinsip akuntabilitas sebagai pertanggungjawaban pengelolaan keuangan kepada masyarakat desa. Akuntabilitas dipengaruhi oleh beberapa faktor antara lain kompetensi, peran aparat desa, dan pemanfaatan teknologi informasi.   Jenis data yang digunakan dalam penelitian ini adalah data primer. Metode penelitian kuantitatif dilakukan dengan menyebar kuesioner ke 13 desa sebanyak 96 responden Kepala Desa dan Pelaksana Pengelola Keuangan Desa (PPKD) di Kecamatan Mojogedang, Karanganyar Jawa Tengah. Penelitian ini menggunakan analisis uji regresi linier berganda dengan aplikasi SPSS. Hasil penelitian ini menunjukan bahwa secara simultan variabel kompetensi, peran aparat desa, dan pemanfaatan teknologi informasi berpengaruh signifikan terhadap akuntabilitas pengelolaan keuangan desa. Secara parsial, peran perangkat desa dan pemanfaatan teknologi informasi juga berpengaruh signifikan terhadap akuntabilitas pengelolaan keuangan desa. Namun secara parsial kompetensi aparat desa tidak berpengaruh signifikan terhadap akuntabilitas pengelolaan keuangan desa. Aparatur desa mampu mengelola keuangan karena jenis transaksi sederhana yang didukung aplikasi Siskeudes dan pendampingan sehingga tidak perlu keahlian khusus.
The effects of Aboriginal tertiary students' perceived experiences of racism and of cultural resilience on educational engagement
Authors: Gibbs Jordan , Paradies Yin , Gee Graham , Haslam Nicholas
Published: December 2022

Racism pervasively impacts the lives of Aboriginal and Torres Strait Islander peoples and is a substantial barrier to accessing, engaging and succeeding within secondary education. Cultural resilience and support have been identified as critical to Aboriginal success within racist institutions. However, research examining experiences of racism and cultural resilience among Aboriginal tertiary students is limited. This study explored the relationship between racism, cultural resilience, and educational engagement and academic outcomes in a sample of these students (N = 63). We proposed that higher perceived racism would be associated with lower engagement and academic outcomes. The study also developed a new measure of Aboriginal tertiary students’ experience of racism during their studies, which demonstrated good reliability and validity. Experiencing racism was associated with perceiving a less supportive learning environment, and with lower learning outcomes, developmental outcomes and overall student satisfaction.
Language teacher identity and language acquisition in a South Saami preschool: A narrative inquiry
Authors: Kroik David
Published: December 2022

This paper explores language teacher identity (LTI) among three preschool teachers. The focus lies on the preschool teachers’ identities as linguistic role models by means of analysing their own descriptions of language learning, that is, their personal experiences of and reflections on language acquisition. Three interviews were made with different in-service preschool teachers. The interviews were analysed by means of narrative inquiry and thematic analysis and guided by literature on LTI, as well as the researcher’s previous experience and knowledge of the current field. The findings illustrate how the teachers assumed a leading position in the South Saami language revitalisation project and cope with the responsibility tied to that position. The discussion of the narratives revolves around language teaching and learning made salient in the narrative process. The study provides a hopeful view of language revitalisation by showcasing that it is not only the expected first-language native speakers that are driving forces in the process of restoring a broken chain of intergenerational language transmission. It further illustrates a way for an Indigenous academic to investigate settings within their own community and collaborate with other stakeholders in a language revitalisation project to generate new insights on language revitalisation.
The Remote School Attendance Strategy (RSAS): Why invest in a strategy that reduces attendance?
Authors: Guenther John , Osborne Samuel , Corrie Stephen , Rigney Lester-Irabinna , Lowe Kevin
Published: December 2022

In late 2013, under the leadership of Prime Minister Abbott, the Australian Government announced a new policy designed to increase attendance rates in remote community schools—the Remote School Attendance Strategy (RSAS). The model assumed that employing local people in the program, which was designed to support parents get their children to school, would yield significant improvements and consequently improve educational outcomes. After a slight initial increase in school attendance rates, RSAS schools have seen average attendance rates decline since 2016, which now stand more than eight percentage points lower than at commencement. This article analyses My School data for Very Remote Aboriginal schools, showing how the RSAS school attendance results compare with similar non-RSAS schools. We question why the Australian Government continues to invest in a program that is not meeting its objectives, asking, what went wrong?. We do this by critically analysing 36 policy-related documents, looking for ideological clues that show why the government continues to invest in the program and how it sees it as “successful”. We conclude by raising ethical and accountability concerns about the RSAS, which lacks evidence of attendance improvement, and which potentially causes harm to its objects: First Nations students.
Failures Indigenising school mathematics: A narrative inquiry
Authors: Stavrou Stavros Georgios , Murphy M. Shaun
Published: December 2022

We use a narrative inquiry methodology to consider tensions surrounding Indigenising school mathematics. This research takes place in a Cree bilingual school in a Western Canadian prairie province conducted with three Cree elementary school teachers. We contemplate ways that: Indigenisation and notions of success in education can be Eurocentric; what is sometimes taken-up under the label of Indigenising school mathematics can be a colonial practice that is not actually Indigenising school mathematics in ways that support or coincide with teachers’ cultural identities; Indigenous worldviews are still at risk of Eurocentric colonisation; and Indigenous worldviews are complete and should not be scrutinised by the Eurocentric gaze.
Indigenous school education as contested spaces: The Brazilian experience in São Paulo and Mato Grosso do Sul
Authors: Ioris Antonio Augusto Rossotto , Longo Flávia Vitor , Do Carmo Roberto , Arruti Jose Mauricio Paiva Andion
Published: December 2022

Indigenous schools are spaces for the convergence of different worldviews and to demonstrate how the creativity of each ethnic group challenges exogenous and established concepts and methodologies. This article examines main trends and pending gaps related to indigenous education in Brazil between the years 2007 and 2019. Issues such as the characterisation of indigenous schools, teachers and students are analysed, with a focus on the evolution of the number of students enrolled, infrastructure, language and pedagogic approaches. The analysis is focused on the states of Mato Grosso do Sul, which has a large indigenous population and an economy based on export-oriented agribusiness, and São Paulo, the main economic, demographic and political centre of Brazil with a much smaller indigenous population. The results demonstrate concrete improvements, especially the expansion of the number of schools and the student population. A growing number of schools are now dedicated to serve indigenous populations and make use of specific teaching material (although this material is of uneven quality). However, many problems remain unresolved, including threats to funding and uncertain administrative support from public authorities, a situation that has been aggravated in recent years with the growing adoption of elitist, anti-indigenous government policies.
The Effect of Blended Learning and Teacher-Student Interaction on the Learning Motivation of SMAN 1 Depok City Students
Authors: Sari Rini Yunita , Hermawan Husnita
Published: December 2022

The purpose of this study is to determine the influence of blended learning and teacher-student interaction on student learning motivation at senior high school 1 Depok City. This research uses quantitative methods with the paradigm of positivism. The data collection technique was through the distribution of questionnaires with a total population of 600 students and a sample of 263 students in class X and XI of senior high school 1 Depok City. The results of the influence of blended learning on student learning motivation are categorized in terms of online content indicators, live events and collaboration. The results of the study on the effect of teacher-student interaction on student learning motivation well categorized in terms of indicators of openness, empathy, support, a sense of positivity and equality. The results of analysis and hypothesis testing show that blended learning and teacher-student interaction have a positive and significant effect on the learning motivation of students of senior high school 1 Depok City. From the results, the research can influence blended learning and teacher-student interaction on the learning motivation of students of senior high school 1 Depok City by 27.5% and the remaining 72.5% is influenced by other factors, namely factors of the students themselves, adequate facilities and infrastructure, family environment, school and social. It is recommended that in blended learning teachers are required to be more creative, innovative and communicative when delivering material, and the interaction between teachers and students is further improved in order to generate student learning motivation.
An Analysis of Prenatal Yoga for Pregnant Women at Eka Sri Wahyuni Clinic
Authors: Pratiwi Syah Putri  , Nurhaida br Kaban  , Nopita Yanti Sitorus
Published: December 2022

During pregnancy , mother  pregnant will experience many very change that can causing and also causing a feeling of not comfortable especially when entering the second and third trimesters. Yoga practice being one method and effort To use overcome and also reduce the feeling of not comfortable as well as always physical  get complained during pregnancy .  Destination study this conducted To use knowing how much big influence of prenatal yoga on complaint physical as well as feeling not comfortable for mom second and third trimester of pregnancy . Research the use quasi -experimental method that is system one group pre test- post test design is taken from a number of sample respondent where use technique purposive sampling . Data analysis wear system dependent samples t test . this result will show average score complaint physique from mothers  pregnant before doing prenatal yoga 7.63, meanwhile after do prenatal yoga, then got 4.80. The results of the dependent samples t test obtained a p value of 0.000. Conclusion from study the found that is prenatal yoga can be one  reason decline complaint physique of pregnant women entering the second and third trimesters. It is hoped that prenatal yoga can conducted in a manner routine to Pregnant Women and can formed Prenatal Yoga class.
Mito y poesía en La saga/fuga de J.B.
Authors: Pérez Álvarez David , Cuba López Soledad
Published: December 2022

El mito y la poesía son dos elementos esenciales de la obra narrativa torrentina. En este trabajo se analizan ambos aspectos y se indaga en su interrelación tomando como referencia La saga/fuga de J. B. En primer lugar, se profundiza, por un lado, en los orígenes y referencias míticas del Cuerpo Santo, y por otro, en el cauce poético a través del cual toma forma este ingrediente en la novela. En segundo lugar, se estudia la figura de José Bastida, tanto como mito, conectado con el mundo de los Jota Be y todas las referencias culturales y literarias que entraña, como en cuanto poeta con una personalidad y obra propias.
Humor y novela en La saga/fuga de J. B.
Authors: Pueo Juan Carlos
Published: December 2022

La creación del mundo ficticio de La saga/fuga de J. B. responde a una metafísica marcada por el temperamento irónico e humorístico de su autor-narrador-protagonista, José Bastida. A diferencia de las narraciones de corte realista, cuyos mundos de ficción se constituyen a partir de ejes de selección y combinación limitados por las convenciones del realismo, la perspectiva irónico-humorística ofrece la posibilidad de abrir el mundo de ficción a infinidad de posibles combinaciones de elementos de lo más variado, muchas de ellas absurdas y cómicas, pero coherentes con este planteamiento.
Dos revistas en el tablero del juego de la palabra. A propósito de La saga/fuga de J.B. y La Tabla Redonda
Authors: Gutiérrez Sebastián Raquel
Published: December 2022

Presentación del volumen por la directora de la revista.
FERROTSENKARBON KISLOTA ASOSIDA YANGI MODDALAR OLISH VA ULARNING SUVDA ERUVCHAN HOSILALARINI BIOLOGIK FAOLLIGINI O‘RGANISH
Authors: Asqarov Ibrohimjon Rahmonovich , Abduraimov Zuxritdin Xolboyevich
Published: December 2022

Maqolada ferrotsenkarbon kislotasi asosida diazotirlash metodi bo‘yicha mochevina hosilalari bilan yangi moddalar sintez qilinganligi, sintez qilingan birikmalarni suvda eruvchan hosilalarini olish usullari keltirilgan. Shuningdek, 1`-karboksiferrotsenil tiokarboksamidning suvda eruvchan hosilalari chigitning unuvchanligiga ta'sirini laboratoriya sharoitida Kalinkevich usulida o‘rganish natijalari bayon qilingan.
ARTESUNATNING YANGI FERROTSENLI HOSILALARINI OLISH
Authors: Abdulloyev Obidjon Shaxabidinovich , Asqarov Ibrohimjon Rahmonovich , Abdulloyev Shaxobidin Xasanboyevich , Matamirova Sharifa Akramovna
Published: December 2022

Esterifikatsiya reaktsiyasidan foydalanib, ba'zi ferrosen spirtlarining 3 ta yangi ferrosen tutgan artesunat efirlari sintez qilindi, ularning tarkibi va tuzilishi 1H va 13C YaMR spektroskopiya ma'lumotlari bilan tasdiqlandi. Mahsulotlarning ratsemik aralashmasidagi ((1S)-1-ferrosenil)-etilartesunat ulushining ((1R)-1-ferrosenil)-etilartesunat ulushiga nisbatan ortishi Artesunat bilan (1R)-1-ferroseniletanolning esterifikatsiya reaktsiyasi boshqa spirt antipodiga qaraganda qiyinroq davom etishini ko'rsatadi.
“SHIRIN” NAVLI TARVUZ URUG’INING MAKRO VA MIKROELEMENTLARINI INDUKTIV BOG’LANGAN PLAZMALI MASS-SPEKTROMETRIYA METODI BILAN ANIQLASH (ICP-MS)
Authors: Atakulova Nargiza Baxtiyorjon qizi , Asqarov Ibrohimjon Rahmonovich , Anvarova Maxliyo Marufjon qizi
Published: December 2022

Ushbu maqolada tarvuzning kimyoviy taxlililari bo’yicha adabiyotlar taxlili va O’zbekistonda ekiladigan “Shirin” navli tarvuz urug’i tarkibidagi makro va mikroelementlarni induktiv bog’langan plazmali mass-spektrometriya metodi bilan aniqlash (ISP-MS) metodikasi va miqdorlari keltirib o’tilgan. Tarvuzning kimyoviy tarkibidagi makro va mikroelementlari ustida o’tkazilgan tajribalar adabiyotlardan tahlil qilindi va solishtirildi.
VARIKOZNI DAVOLASHDA ISHLATILADIGAN SINTETIK DORI VOSITALARINING KIMYOVIY TARKIBI
Authors: Asqarov Ibrohimjon Rahmonovich , Hojiqulov Azizbek Sobirovich , Madaminova Gulassal Abdurauf qizi
Published: December 2022

Maqolada varikoz kasalligi va  uning kelib chiqish sabablari, zamonaviy tibbiyotda varikoz tomirlarini aniqlash, varikoz kasalliklarida ishlatiladigan zamonaviy sintetik dori-darmon vositalarning kimyoviy tarkibi taxlil qilinib, ularning kimyoviy fo’rmulalari va inson organizmiga salbiy ta’siri haqidagi ma’lumotlar batafsil yoritilgan.
PIYOZ PO’STLOGINING FOYIDALI XUSUSIYATLARI VA TABOBATDA QO’LLANILISHI
Authors: Asqarov Ibrohimjon Rahmonovich , Isaqov Xayatulla , Jamolova Hafizaxon Muxammadjonovna
Published: December 2022

Maqolada piyoz po’stlogining kimyoviy tarkibi va qo’llanilishi, piyoz po’stlogining foyidali xususiyatlari, tibbiyotda foyidaanish usullari va kimyoviyntarkibi xaqida ma’lumot berilgan. Ularning organizmga ta’siri biologic faol qo’shimchalar, piyoz po’stlogidan damlamalar tayiyorlash xaqida ma’lumotlar berilganlash haqida ham ma’lumot beriladi.
Een groen-criminologisch perspectief op de Omgevingswet
Authors: van der Vorm Benny , van Uhm Daan
Published: December 2022

A green criminological perspective on the Environmental Act

It is expected that the Environmental Act will enter into force on 1 July 2023. With regard to the enforcement of the Environmental Act two types can be distinguished, namely administrative and criminal law enforcement. In essence the Environmental Act is administrative in nature, which means that there is an important role for administrative law enforcement. However, in many cases criminal law enforcement is possible as well. In this article the protection of animals in the Environmental Act is examined throughout a green criminological perspective. From a green criminological perspective the focus should be on criminal law enforcement instead of administrative enforcement. This should also be the case in the Environmental Act.
Prediction of the Amount of Raw Material in an Algerian Cement Factory
Authors: ZERMANE Hanane , MADJOUR Hassina , BOUZGHAYA Mohammed Adnane
Published: December 2022

Factories are currently confronted with multifaceted challenges created by rapid technological Many technologies have recently appeared and evolved, including Cyber-Physical Systems, the Internet of Things, Big Data, and Artificial Intelligence. Companies established various innovative and operational strategies, there is increasing competitiveness among them and increasing companies’ value. A smart factory has emerged as a new industrialization concept that exploits these new technologies to improve the performance, quality, controllability, and transparency of manufacturing processes. Artificial intelligence and Deep Learning techniques are revolutionizing several industrial and research fields like computer vision, autonomous driving, predicting failures, etc. The idea of this work is the development of a predictive model to predict the amount of raw material in a workshop in a cement factory based on the Deep Learning technique Long Short-Term Memory (LSTM). The excellent experimental results achieved on the LSTM model showed the merits of this implementation in the production performance, ensuring predictive maintenance, and avoid wasting energy.
¿Atenas y Jerusalén? Política, filosofía y religión desde 1945
Authors: Camey Marroquín Carmen
Published: December 2022

La pregunta por la propia identidad debe necesariamente enfrentarse a la pregunta por el origen y, a lo largo de la historia, esta pregunta se ha respondido aludiendo a la religión. Ha sido principalmente en los últimos siglos que esta cuestión se ha intentado desechar basándose en la idea de una historia progresiva que de manera supuestamente natural relegaba la religión al lugar de los mitos y leyendas.
Comunidad: en busca de seguridad en un mundo hostil
Authors: Lara María José
Published: December 2022

En medio de la burbuja de las «puntocom», sucede la publicación original del libro Comunidad (2000), de Zygmunt Bauman. Más de dos décadas después de su primer contacto con el público, las palabras del sociólogo polaco guardan una vigencia que, si el ritmo actual de la vida persiste —o se acelera—, crecerá en relevancia, especialmente para quienes busquen pinceladas de sentido en una coyuntura mundial que por momentos parece incomprensible.
PERSYARATAN DASAR PEMEKARAN WILAYAH PAMEKASAN DALAM UPAYA MENDUKUNG PEMBENTUKAN PROVINSI MADURA
Authors: Kutsiyah Farahdilla , Abdurahman Abdurahman , Hakim Rahman , Rahman Ainur
Published: December 2022

Jumlah kabupaten di Pulau Madura ada empat, sementara merujuk UU RI Nomor 23/2014 tentang otonomi daerah bahwa syarat pembentukan provinsi baru harus memiliki lima kabupaten atau kota. Penelitian ini termasuk kategori penelitian kepustakaan. Hasil yang diperoleh (1)Pemekaran wilayah Pamekasan sebagian besar memenuhi persyaratan dasar kewilayahan dan persyaratan dasar kapasitas daerah sebagaimana tercantum dalam UU RI Nomor 23 Tahun 2014, terkecuali pada aspek keuangan daerah yakni angka ketergantungan fiskal masih relatif tinggi (> 60%). Adapun yang mendasari perlunya pemekaran: selama ini masih terjadi ketimpangan pembangunan antara wilayah bagian utara dengan bagian selatan; laju pertumbuhan pembangunan Madura lebih lambat dari rata-rata kabupaten lain di Jatim; Madura memiliki kekhasan sosial budaya; potensi sumber daya alam, anggaran, dan sumber daya manusia di Madura bila dikelola dengan baik dapat menjadi modal penting bagi implementasi pembentukan provinsi Madura, dan wilayah yang paling siap untuk penambahan kota atau kabupaten adalah wilayah Pamekasan (2)Pemekaran wilayah pamekasan dapat diterapkan dengan membagi wilayah ini menjadi Kota Pamekasan dan Kabupaten Pamekasan. Plot untuk Kota Pamekasan bisa meliputi lima kecamatan: Pamekasan, Pademawu, Larangan; Tlanakan dan Galis. Sementara plot untuk Kabupaten Pamekasan meliputi delapan kecamatan: Proppo, Waru, Kadur, Pasean, Batumarmar, Pegantenan, Pakong dan Palengaan
IMPLEMENTASI GEOJSON PADA PEMETAAN KAWASAN KUMUH KOTA BAU BAU MENGGUNAKAN JQUERY AJAX DAN MAPBOX
Authors: Fachroni Muh Farid , Golok Jaya La Ode Muhammad , Ningrum Ika Purwanti
Published: December 2022

Padatnya pemukiman penduduk suatu daerah dan kondisi ekonomi yang rendah dapat menimbulkan kawasan yang tidak bersih dan identik dengan permasalahan kumuh. Penelitian ini bertujuan untuk menyajikan informasi yang dapat membantu pemerintah dan masyarakat dalam memperhatikan keadaan kawasan kumuh agar dapat menanganinya secara berkelanjutan serta mengubah kawasan kumuh menjadi kawasan yang layak huni.Sistem ini diimplementasikan dalam bentuk aplikasi berupa aplikasi berbasis web GIS yang menerapkan arsitektur client dan server dimana cilent mengakses API server dalam pengambilan, pengiriman, penyuntingan dan penghapusan data. Aplikasi ini tersematkan Mapbox yang berfungsi untuk merendering file GeoJSON yang perintahnya dipanggil menggunakan jQuery Ajax. Kedua aplikasi ini dibangun menggunakan Codeigniter yang berbasis bahasa pemrograman PHP pada sisi client dan server juga dengan tambahan jQuery Ajax dan Mapbox pada sisi client.Dari hasil pengujian yang telah dilakukan, dapat disimpulkan bahwa pengujian terhadap sistem telah berhasil dilakukan dengan baik, bebas dari kesalahan sintaks sehingga bisa dikatakan secara fungsional aplikasi telah berjalan dengan cukup baik dan sesuai dengan kebutuhan aplikasi dan menghasilkan output sesuai dengan apa yang diharapkan. Kata Kunci; Kawasan Kumuh, GeoJSON, Web GIS, jQuery Ajax, Mapbox
PENERAPAN ALGORITMA K-MEDOIDS DALAM PENENTUAN FAKTOR TERBESAR PEMILIHAN JURUSAN DI FAKULTAS TEKNIK UNIVERSITAS HALU OLEO
Authors: Silondae Saskia Randawula , Sutardi Sutardi , Statiswaty Statiswaty
Published: December 2022

Menentukan perguruan tinggi dan jurusan yang tepat bukanlah persoalan yang mudah. Kurangnya informasi tentang fasilitas fakultas atau jurusan, lingkungan fakultas, jaminan kerja dari fakultas, biaya kuliah, dan promosi dapat menyebabkan calon mahasiswa salah dalam memilih jurusan sehingga mahasiswa tidak dapat mengikuti perkuliahan dengan baik karena tidak tertarik di bidang pilihannya, serta tidak dapat menyelesaikan perkuliahan dengan baik bahkan berujung pada Drop Out (DO). Permasalahan tersebut dapat diantisipasi oleh fakultas atau program studi dengan mengetahui faktor-faktor yang menentukan mahasiswa baru memilih jurusannya.  Penelitian ini mengimplementasikan metode data mining dengan algoritma K-Medoids Clustering untuk menentukan faktor terbesar sumber informasi pemilihan jurusan di Fakultas Teknik Universitas Halu Oleo. Dari hasil pengujian menunjukkan jumlah klaster yang terbaik adalah klaster 4 dengan nilai silhouette coefficien sebesar 0.23045321036704783 dan klaster yang paling buruk adalah klaster 3 dengan dengan nilai silhouette coefficient adalah 0.11000736495160417.Kata kunci; K-Medoids, Sumber Informasi, Perguruan Tinggi, Klasterisasi
TEXT MINING IN TWITTER: AN ANALYSIS AND MONITORING POLITICAL ISSUES
Authors: Kasau Sukirno , Yuyun Yuyun , Syarif Syafruddin
Published: December 2022

Media sosial merupakan media yang mempertemukan manusia di dunia maya, salah satu sosial media yang menjadi favorit adalah twitter. Berbagai hal bisa dibahas di twitter, salah satunya adalah tentang politik. Guna mengelola informasi perlu dilakukan analisis teks salah satunya dengan menggunakan text mining. Tujuan penelitian ini adalah untuk menggali informasi dari media sosial twitter terkait isu politik. Metode penelitian yang digunakan adalah studi pustaka (library research), metode pengumpulan data (field research) dan perancangan sistem serta analisis. Pada studi literatur, dilakukan pencarian penelitian-penelitian terkait menggunakan algoritma Naïve Bayes dan K-Nearest Neighbor. Temuan penelitian ini adalah 2 topik dengan nilai coherence terbaik dari 20 topik.  Pengujian dari dua topik isu tersebut menunjukkan tingkat akurasi klasifikasi berdasarkan topik menggunakan metode K-Nearest Neighbor lebih tinggi dari Naïve Bayes.Kata kunci; Sosial media, Text Mining, Naïve Bayes, K-Nearest Neighbor
COMPARISON OF WAVELET TRANSFORM FOR IMAGE RECOGNITION SYSTEM USING LEARNING VECTOR QUANTIZATION
Authors: Saputra Rizal Adi
Published: December 2022

Image is a spatial dimension contains information, color, and not time-dependent. Nowadays image is very important for recognition system as source/data. In order to obtain certain information (features), image transformed or extracted.  Wavelet is mathematical function that is able to classify the image energy concentrated on a small group of coefficients (approximation), while other coefficient group (detail) contains very small energy which can be eliminated. This study purpose to compare wavelet family include Haar, Daubechies and Coiflet, then applied to the fingerprint recognition system and face recognition system.There are three major steps in this paper, preprocessing that includes resize normalization, histogram equalization and thresholding, feature extraction using three different wavelet family, learning using Learning Vector Quantization (LVQ) and matching using Euclidean Distance. The experimental result show Haar is the best among the others. In Fingerprint recognition system the accuracy is 85% and 90% for face recognition system.Keywords; Daubichies, Haar, Image Recognition, Learning Vector Quantization, Wavelet Comparison
SISTEM KONTROL TINGKAT KEKERUHAN DAN PH PEMBERIAN PAKAN PADA AQUARIUM MENGGUNAKAN ATMEGA328 VIA IoT
Authors: Bakrim La Ode , Achmad Andani , Adnan Adnan
Published: December 2022

Rutinitas dalam pemberian pakan serta nilai parameter lingkungan akuarium perlu senantiasa diawasi dan dijaga pada rentang tertentu. Dengan memanfaatkan teknologi IoT peneliti ingin menggabungkan parameter pH dan kekeruhan air sehingga pengontrolan dapat dilakukan secara real time dalam waktu yang bersamaan untuk mengefisienkan waktu, dengan memanfaatkan wifi dan ATmega328. Untuk itu dibangun sistem kontrol tingkat kekeruhan, dan pH pemberian pakan pada aquarium menggunakan ATmega328, yang merancang pengontrolan kekeruhan dan pH pemberian pakan pada aquarium secara real time, bagaimana implementasi penggunaan ATmega328 menggunakan wifi dengan memanfaatkan teknologi IoT dan melakukan pengontrolan kekeruhan dan pH pemberian pakan pada aquarium secara real time.  ATmega328 dengan fungsi untuk mengontrol pH dan kekeruhan air dan dapat di monitoring via IoT. Pada pengujian respon motor servo dan relay telah berjalan dengan baik dimana motor servo dapat membuka katup 450 dan delay 5 detik dengan waktu pukul 8.00 dan 13.00, relay yang di kontrol ATmega328 menggunakan IDE Arduino melalui parameter air tidak normal untuk mengontak kedua pompa dalam menetralkan air berjalan dengan baik sesuai referensi. Peneliti telah berhasil menciptakan website dengan nama web IoT untuk memonitoring semua sensor dan komponen dalam perangkat via IoT.Kata kunci; ATmega328, Internet of Things (IoT), Kekeruhan, pH Air, dan Pemberian Pakan
PENGGUNAAN TEKNOLOGI JQUERY SEBAGAI FRAMEWORK PENGEMBANGAN APLIKASI MOBILE LEARNING PRANIKAH
Authors: Herlinah Herlinah , Habibi Baso , Rochman Abd
Published: December 2022

Pendidikan pranikah merupakan bentuk kepedulian nyata pemerintah terhadap tingginya angka perceraian dan kasus KDRT di Indonesia. Upaya dan kerja keras pemerintah untuk mensosialisasikan agar keluarga bisa memahami dan menerima konsep tujuan keluarga sakinah, dengan cara mengikuti pelatihan kursus pranikah. Materi kursus pranikah diberikan 16 jam pelajaran. Hal tersebut tidak sesuai dengan realitas di lapangan, selain itu model pembelajaran kursus pranikah juga dilakukan secara tradisional konvensional. Olehnya itu untuk menunjang terselenggaranya pendidikan pranikah yang efektif dan efisien maka dibutuhkan suatu inovasi baru untuk meningkatkan minat belajar calon pengantin dalam kegiatan pembelajaran kursus pranikah, dengan pemanfaatan teknologi mobile learning pranikah.Metode Pendekatan yang digunakan adalah metodologi berorientasi objek, dengan mengimplementasikan diagram-daigram UML sebagai pemodelan fungsional, menggunakan bahasa pemrograman Javascript, bahasa backserver database dengan php, serta menggunakan jQuery mobile sebagai pengembang interface. Hasil penelitian ini dapat digunakan sebagai suatu inovasi dalam kegiatan pendidikan pranikah berbasis TIK di KUA, serta memberikan kemudahan pada calon pengantin untuk mengakses materi kursus pranikah.Kata kunci; Mobile Learning, Pranikah, jQuery, Mobile Web
PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING DAN FUZZY MULTIPLE ATTRIBUTE DECISION MAKING UNTUK MENENTUKAN KELAYAKAN KENDARAAN BUS DI KOTA KENDARI
Authors: Maruji Maruji , Sabirin Sabirin , Henny Henny , Gafrun Gafrun
Published: December 2022

Transportasi umum bus banyak diminati masyarakat Kota Kendari karena memiliki biaya yang murah. Banyaknya transportasi bus yang melakukan kegiatan operasi dan perjalanan yang jauh, tidak jarang transportasi bus mengalami kerusakan sparepart sehingga tidak layak untuk beroperasi. Tujuan Penelitian ini yaitu membuat sistem menentukan tingkat kelayakan bus dengan penerapan Metode Simple Additive Weighting dan Fuzzy multiple Attribute Decision Making pada Perum Damri Kendari. Metode penelitian terdiri dari lima tahap, yaitu kajian pustaka dan studi literatur, melakukan pengumpulan data, wawancara uji kelayakan harian bus yang terkait beberapa kriteria yang menjadi acuan bagi Perum Damri Kendari dalam menentukan kelayakan suatu bus, melakukan perancangan, pengujian sistem dengan metode black box serta penulisan laporan. Penelitian ini menghasilkan sebuah sistem pendukung keputusan yang dapat menentukan tingkat kelayakan kendaraan bus dan dapat melakukan proses analisis komponen kendaraan dengan beberapa kriteria untuk menentukan prioritas dalam penentuan kelayakan kendaraan, sehingga Perum Damri Kota Kendari dapat menentukan kelayakan bus yang beropersi berdasarkan hasil perhitungan dalam perangkingan