bluuebunny/crossref_metadata_2025 huggingface dataset:
Automata-based approach to automated business process logic in relational databases
Authors: Рыбанов А.А. , Свиридова О.В. , Филиппова Е.М.
Published: December 2023

Бизнес-логика или логика предметной области – это алгоритм, определяющий способ обмена информацией между базой данных и приложением конеч-ного пользователя. В статье предлагается автоматный подход к встраиванию в реля-ционные базы данных логики автоматизируемых бизнес-процессов. Описаны этапы реа-лизации бизнес-логики на языке SQL. Результаты тестирования предлагаемого подхода рассмотрены на примере бизнес-процесса «управление заказами» с использованием си-стемы управления базами данных PostgreSQL.

Business or domain logic is an algorithm that defines how information is ex-changed between a database and an end-user application. The article proposes an automata-based approach to embedding automated business process logic into relational databases. The steps of implementing business logic in SQL are described. The results of testing the proposed approach are considered on the example of the business process “order management” using the PostgreSQL database management system.
Development and research of quantum information processing model considering the presence of quantum noise
Authors: Гузик В.Ф. , Гушанский С.М. , Потапов В.С.
Published: December 2023

В статье исследуется проблема обработки информации в квантовых системах с учетом присутствия квантового шума. Квантовый шум является одним из основных факторов, ограничивающих точность и эффективность квантовых вычислений и коммуникаций. Целью исследования является разработка и анализ квантовой модели, способной учитывать влияние квантового шума на обработку информации. Рассматри-ваются различные источники квантового шума, такие как шум нулевой точки, шум фо-тонов и шум квантовых измерений. Представлены основные концепции и методы для оценки и минимизации квантового шума, включая методы коррекции ошибок, контроль окружающей среды и оптимизацию квантовых состояний. Описывается разработанная квантовая модель обработки информации с учетом шума. Производится анализ влияния квантового шума на различные квантовые алгоритмы и протоколы. Также представле-ны результаты численных экспериментов, демонстрирующие эффективность предло-женной модели в условиях реалистического шумового окружения. Работа обобщает по-лученные результаты и даёт рекомендации по применению квантовой модели обработки информации с шумом в различных прикладных областях, таких как квантовые вычисле-ния, квантовая коммуникация и квантовые сенсорные системы. Работа имеет большое значение для развития практических квантовых технологий, позволяющих эффективно работать в условиях реальных шумовых режимов и повышать надежность и точность квантовых систем обработки информации.

The article investigates the problem of information processing in quantum sys-tems, considering the presence of quantum noise. Quantum noise is one of the main factors lim-iting the accuracy and efficiency of quantum computing and communications. The aim of the study is to develop and analyze a quantum model that can consider the impact of quantum noise on information processing. The article discusses various sources of quantum noise, such as ze-ro-point noise, photon noise, and quantum measurement noise. Basic concepts and methods for estimating and minimizing quantum noise are presented, including error correction methods, environmental control, and optimization of quantum states. The article describes the developed quantum model of information processing considering noise effect. The influence of quantum noise on various quantum algorithms and protocols is analyzed. The authors present the results of numerical experiments, demonstrating the effectiveness of the proposed model in a realistic noise environment. The work summarizes the results obtained and puts forward recommenda-tions for the application of the quantum model of information processing with noise in various applied areas, such as quantum computing, quantum communication and quantum sensor sys-tems. The work is of significant importance for the development of practical quantum technolo-gies that allow efficient operation in real noise conditions and improve the reliability and accu-racy of quantum information processing systems.
Ethnobotanical study of medicinal plants used in the prevention and treatment of COVID-19 infection in the Tiaret region (Algeria)
Authors: Leila Soudani , Meriem Chafaa , Souad Benabdelkrim , Rekaia Houcine
Published: December 2023

The Corona Virus disease has spread widely over the world with a high mortality rate. This spread has prompted people to look for other ways to treator minimize the negative impact of this out break. During the pandemic, the Algerian population used medicinal plants for the prevention and treatment of COVID-19. The present work was carried out to identify the medicinal plants used during COVID-19 by the population of Tiaret region (Algeria). An ethnobotanical survey was conducted to collect data on the medicinal plants used, including the socio demographic parameters of the users and floristic characteristics of the plants. Information was obtained from 428 participants, of which 67.05% were women, aged between 16 and 88 years old. Most plant users were between 41 and 64 years old. The majority of participants have a high level of education (55.14% university and 20.32% secondary). Quantitative indices, namely, Frequency of Citation (FC), Relative Frequency of Citation (RFC) and Family Importance Value (FIV) were used to analyze the data. 27 species of medicinal plants belonging to 15 botanical families used during the COVID - 19 pandemic in our region. The most used species were Syzygium aromaticum, Zingiber officinale, Citrus limon and Aloysia citriodora.
Association between distress of infertile women and patient centered care in fertility clinic at castle street hospital Sri Lanka
Authors: Assaddume Gedara Mayura Madhava Dharmadasa  , Sathasivam.Sridharan  , Nadeeka Prasanthi  , Wasana Sandeepani Kalansooriya
Published: December 2023

Purpose of this study was to examine the relationship between patient centered care (PCC) and distress among infertile women visiting the Fertility Clinic at Castle Street Hospital. Further, the level of distress based on demographic factors such as education level, age, occupation, income level and period of marriage was planned to identify. Sample size was 393 infertile women visited the Fertility Clinic at Castle Street Hospital. The infertile women with lower level of education, lower income level, older age and longer married life without children were found to be highly distressed. Further, there was no significant relationship between the PCC and distress level among infertile women. The distress level of infertile women visiting Castle Hospital Sri Lanka cannot be reduced through PCC initiatives in the hospital and the factors of age, educational level, family income level, duration of married life and employment could have determined the level of distress.
COMO AS PROFESSORAS EM ESCOLAS PRIVADAS VIVENCIARAM O TRABALHO DURANTE A PANDEMIA?
Authors: Nüssle Flora Santos , Coelho-Lima Fellipe
Published: December 2023

A pandemia do COVID-19 teve consequências graves também para o mundo do trabalho. Exemplo disso, foi a pressão que as professoras de escolas privadas tiveram por rapidamente transporem as atividades de ensino para o modelo remoto. O objetivo dessa pesquisa foi analisar como as professoras de escola privada vivenciaram o seu trabalho docente durante a pandemia do COVID-19. Partindo da Psicologia Histórico-Cultural, realizamos 12 entrevistas em profundidade com professoras de escolas privadas da cidade de Natal-RN, sendo esses dados analisados quanto aos seus núcleos de significação. Encontramos cinco núcleos de significação: significações sobre o trabalho de professora; dificuldades do dia a dia de trabalho; consequências da pandemia; agravamentos gerados pela pandemia; e enfrentamentos diante dos desafios. Concluímos que a pandemia operou como um catalizador de problemas que as professoras já enfrentavam, decorrente da exploração do trabalho, machismo e neoliberalismo. Diante desse cenário, consideramos que as formas de enfrentamento e resistência passem por estratégias coletivas e que visem a superação desses processos históricos de precarização do trabalho.
Incentives for Levying Countervailing Duties on Foreign Competitive Goods
Authors: Wang Yu-Ter
Published: December 2023

Objective: The relationships between firm profits, foreign export subsidy, and countervailing duties (CVDs) have not been discussed sufficiently in the existing related literature. The purpose of the present study is to analyze the effects of CVDs and formulate policy advice regarding CVDs to fill this knowledge gap. Methods: A game theoretic model with oligopolistic market structure is adopted. Results: The proposed model indicates that when a foreign country provides an export subsidy to a foreign final good, a domestic country has an incentive to levy a CVD whose value exceeds that of the foreign export subsidy on the foreign final good because domestic intermediate- and final-good firms might benefit from the CVD. Conclusions: A CVD whose value equals that of a foreign export subsidy is enough to counter the subsidy’s negative effects on the profits made by domestic intermediate- and final-good firms.
Review on audit data visualization method based on R language
Authors: Ding WeiXuan
Published: December 2023

To be competitive in today's market, companies must constantly assess and improve their operations, and financial data analysis has emerged as a crucial tool for this purpose. Executives can utilize data analysis to gain a deeper understanding of the underlying facts in their data and make better informed decisions about their company and the market. Multiple data models in the language make it possible to have a fully functional language environment with tools for statistical analysis and visual visualization of data. With its ability to enhance the quality of work in statistical computations and graphical analysis, the R language is ideally suited to the industrial data analysis environment. In this paper, we use a literature review methodology to examine the domestic and international literature on R language big data visualization auditing, analyze the visualization application areas of R language big data auditing, discuss the benefits and challenges of big data auditing, demonstrate how R language can be adapted to real-world auditing scenarios, and offer reasonable recommendations and optimistic outlooks for the field's future.
Illegal, unreported and unregulated fishing detection with machine learning
Authors: Xu Yuzhe
Published: December 2023

Illegal, unreported and unregulated fishing is a worldwide problem that causes local and global economic losses, depletes natural resources, alters our diverse ecosystems and takes an undue toll on fisheries. This study describes a machine learning-based strategy for response generation. Identifying data storage and processes has led to the initial development of a viable IUU fishing detection system that classifies vessels for IUU fishing by combining (1) the likelihood that a vessel is fishing using geospatially referenced signal data, and (2) whether or not it is classified The likelihood of fish activity is scored for ships to be within the area of interest, and (3) classification of whether the vessel is allowed to enter its habitable area of interest. In this paper, certain parts of the system were prototyped, including using logistic regression to develop highly predictive catch or no-fish classification models for longlines and trawlers, and identifying whether a vessel was within an area of interest process. In addition, many fishing vessel registries have been identified, which regulate the rights of specific vessels to fish in regulated areas of interest. The accuracy with which fishing models can predict the probability of fishing when vessels have longline or trawl gear is acceptable, and can predict vessels with seine gear, but additional research and analysis are needed. "In ROI" classification models should be extended to score their likelihood of being in ROI instead of outputting true/false judgments. Using machine learning and data analysis skills, the project aims to make further efforts to predict IUU fishing in order to enable law enforcement and ultimately significantly reduce or prevent IUU fishing.
Deep learning for enhancing cancer identification and diagnosis
Authors: Zuo Wenji
Published: December 2023

One of the promising and significant fields of technology is the use of automated computer techniques, particularly machine learning, to facilitate and enhance medical analysis and diagnosis. In the area of artificial intelligence (AI), deep learning techniques using artificial neural networks (CNNs) so-called because they superficially resemble biological neural networks - are computational network models for discovering large, high-dimensional data sets (such as medical datasets) for complex structures and patterns. In this paper, the focus is on summarizing contemporary applications of various deep learning algorithms in the direction of cancer identification and diagnosis, and on re-implementing supervised learning for cancer detection after a new database based on the lung cancer detection project from the book Deep Learning with PyTorch. The automatic detection of lung malignancies from patient CT scans was re-implemented by deep learning. In this paper, the technique is applied to data provided by the Iraqi Oncology Teaching Hospital. The author demonstrates that the application of the new data will also maintain the accuracy of the identification, and thus promises to develop into a more comprehensive and general cancer detection and diagnosis method in the future as the algorithm and technology are further refined.
The virtual face modeling method based on user facial recognition and Unreal Engine 5 MetaHuman Creator
Authors: Wang Yuxiang
Published: December 2023

The face model based on the real face is a technique with hugely increased demands in recent years, The methods for the modelling are still in an early stage and only used in research and business fields. As the increased demands, areas other than business and research will require this technique. However, the cost of professional modelling is unaffordable for individual users. Therefore, through theoretical analysis and a literature review, this paper illustrates the possibility of combining face recognition technology with Metahuman Creator for face modeling so as to achieve the goal of reducing the cost of face scanning and popularizing it among individual users.
Application test of PCA based improved K-means clustering algorithm in analyzing NGO assistance needs in less developed countries
Authors: Qin Linhui
Published: December 2023

In today's society where the amount of data is increasing by Peta Byte (PB) or Exa Byte (EB), it is an era of big data explosion, but there are also some unlabeled data or unstructured data. Compared with complex supervised learning, unmarked unsupervised learning has great potential and value in social development. The clustering algorithm K-means is one of the commonly used algorithms in unsupervised learning. However, after studying the shortcomings of K-means itself, a problem is found that the dimension attribute of the data set must be converted into a numeric type by means of arithmetic average to measure the distance. Different random selection will have a certain degree of influence on the final clustering results, and eventually lead to the decision deviation is too large. Especially for high noise points, multidimensional, nonlinear social big data. In order to solve this problem, the theme of this paper is the application test of PCA based improved K-means clustering algorithm in analyzing NGO assistance needs in less developed countries. First, read and clean up the national data of 167 less developed countries. Secondly, data visualization and data preparation are carried out to re-scale. The principal component analysis algorithm is used to analyze and deal with outliers. Clustering trends are analyzed by combining a k-means model determined by scores obtained from the Hopkins statistical test with a list of countries ultimately in need of assistance. Finally, it can be tested that PCA data cleaning can effectively reduce data noise and improve the clustering effect.
A review on machine learning methods for intrusion detection system
Authors: Ni Man
Published: December 2023

With the increasing access to the Internet and the development of information technology, concerns about computer security have been raised on a considerably large scale. Computer crimes contain various methods to undermine information privacy and system integrity, causing millions to trillions lose in the past few years. It is urgent to improve the security algorithms and models to perform as a thorough structure to prevent attacks. Among this prevention structure, an intrusion detection system (IDS) has played a vital role to monitor and detect malicious behaviours. However, due to the rapidly increasing variety of threats, the traditional algorithms are not sufficient, and new methods should be brought into IDS to improve the functionality. Deep learning (DL) and Machine learning (ML) are newly developed programs which can process data on a considerably large scale. They can also make decisions and predictions without specific programming, and these features are suitable to improve and enhance the IDS. This article mainly focuses on a review of ML methods used in IDS construction.
An AI-based ambulatory ankle brace with wearable sensor used for preventing ankle sprains
Authors: Zimu Gao , Xu Zheng
Published: December 2023

Ankle sprain is one of the most common injuries in the game of basketball. The ankle sprain may bring tremendous time and cost loss, and patients with a history of ankle sprain are susceptible to further ankle injuries. This paper proposes an AI-based ambulatory ankle brace with wearable sensors that can be used for ankle-sprain prevention. The equipment consists a sensor, a microcomputer, a Bluetooth module, and a muscle stimulator. Ten volunteers performed twelve basketball moves with the ankle brace on, and the twelve basketball moves were labeled as high-risk and low-risk. The sensor on the ankle brace measured the 3-dimensional angular velocity and angular displacement of the subjects ankle in real-time, and the data were then fed to different machine learning algorithms to create models to predict future ankle motions. The model with the best performance created by the Random Forest algorithm was imported into the microcomputer. Once the model predicts a high-risk move, the microcomputer sends a Bluetooth signal to the muscle stimulator. The one end of the stimulator is a pair of electrodes attached to the peroneal muscles to restrict ankle motion. When the stimulator receives the high-risk signal, its activated and the spraining motion would be alleviated. In this way, the ankle brace doesnt restrict normal ankle movement while providing adequate protection for potential ankle sprain cases.
Comparison of machine learning models on breast cancer risk prediction challenge
Authors: Chen Mingjie
Published: December 2023

Breast cancer is a malignant tumor that poses a serious risk to women's life and wellbeing. To make matters worse, this cancer is less symptomatic in its early stages. It is not easily diagnosed through traditional means. The topic of this essay is to investigate machine learning for the determination of breast cancer.. The methods based on machine learning are as followed: automated nuclear section segmentation model, BCRecommender System, DNNs, and computer-aided diagnosis model (CADM). The methods studied are all based on the BreCaHad dataset and use a comparative metric.To measure the performance of each model, the accuracy, F1-score, specificity, and precision are used. The result shows that the approaches based on machine learning work well in diagnosing breast carcinoma, with high accuracy. Most of them have a percentage over 90% in accuracy and some of them are even higher than 95%. However, some of the models work poorly, such as layer 1 of BCRecommender with 61.06% accuracy and EfficientNetB0 with 72.96%. With every aspect taken into consideration, computer-aided diagnosis (CADM: Using combined features of HOG, WPD, ResNet as well as PCA + SVM) has the greatest advantage in diagnosing BC.
Study of the Dilemma of Continuing Professional Development and Coping Strategies of University Teachers in Remote Areas of China
Authors: Zhang Ke , Chen Pengfei , Xiang Fangyu , Li Lei
Published: December 2023

The continual production and dissemination of diverse information in this digital age is driving higher education institutions to innovate and integrate their knowledge. This further encourages teachers to continually update their professional development. However, as university teachers still encounter numerous difficulties this respect, the purpose of his study is to conduct in-depth qualitative analysis to explore this issue from four perspectives: peer support, external support, collaborative development, and continuous professional development online. By conducting in-depth interviews with 28 administrators and teachers from four northwestern universities in China, this research adopts qualitative methods to explore the current dilemmas in teachers' continuing professional development and information technology ability, and proposes corresponding improvement strategies based on the dilemmas. The results are expected to show that the needs of individual teachers are neglected, there is no plan for complete professional development, and there is a lack of outstanding university management talents in this information society. Therefore, it is suggested that a clear plan for the continuation of teachers’ professional development should be proposed, along with the establishment of a professional development center. At the same time, university teachers should take the initiative to enhance their personal growth, and university administrators’ foresight should not be ignored. The continuing professional development of university teachers in remote areas can only be achieved with unified cooperation in various aspects.
Pahoissa paikoissa: 1600-luvun suomalaisten painajaiset tilallisina kokemuksina
Authors: Lamberg Marko
Published: December 2023

Tässä artikkelissa tarkastellaan varhaismodernin ajan ja tarkemmin sanoen 1600-luvulla eläneiden suomalaisten painajaisunien tilallisia ulottuvuuksia eli kuvauksia tiloista, joihin unien tapahtumat sijoittuivat. Pääasiallisina lähteinä käytetään kuvauksia, jotka on kirjattu noituusepäilyjen yhteydessä oikeuspöytäkirjoihin vuosien 1607 ja 1707 välisenä aikana. Unikuvausten avulla selvitetään, mitä ihmiset kertoivat uneksimistaan tiloista ja oliko niillä yhteyttä valvemaailman fyysisiin tiloihin vai tapahtuivatko unet täysin vieraissa ja kuvitteellisissa ympäristöissä.
Varhaismoderneista oikeuspöytäkirjoista piirtyvät tilakokemukset ovat hyvin heterogeenisiä ja ankkuroituvat vakaasti valvetilan ympäristöihin ja uneksijoiden tuntemaan fyysiseen elinympäristöön. Unista on löydettävissä samankaltaisia piirteitä kuin nykyunista: nukkuminen oman vakituisen kodin ulkopuolella näyttää edistäneen painajaisunien näkemistä, uniin saattoi sisältyä liikettä tilasta toiseen tai se saattoi jäädä puuttumaan, uneksitut ympäristöt saattoivat jäädä epämääräisiksi samoin kuin nykyihmisten unikuvauksissa ja unien tapahtumaympäristöissä oli paljon valvemaailmasta tuttuja piirteitä. Oikeuspöytäkirjoihin kirjatut unikuvaukset ovat kuitenkin valikoituneita siinä mielessä, että ne kirjattiin muistiin vain siltä varalta, että unia saattoi pitää todellisia tapahtumia heijastavina eikä pelkkinä unennäköinä. Lähiympäristön ja uneksijalle tuttujen tilojen korostuminen aineistoissa johtuu todennäköisesti siitä, että paikkakunnalle sijoittuvat unet olivat todennäköisemmin relevantteja muillekin. Tapahtumaympäristöjen viitteellinen tai niukka kuvaaminen johtuu siitä, että kohtaamiset muiden ihmisten tai olentojen kanssa olivat tiloja tärkempiä ainakin silloin, kun oltiin oletetusti tekemisissä noituudenharjoituksen kanssa.
Asiasanat: varhaismoderni, noituus, unet, painajaiset, tilat, kokemukset
Rauhattomat unet: painajaisten historiaa
Authors: Korhonen Anu
Published: December 2023

Kannattaako historiantutkimuksessa tutkia asioita, joita ei ole oikeasti tapahtunut? Voivatko vaikkapa unet, jotka uneksija toki unissaan kokee mutta joiden suhde ulkoiseen todellisuuteen on hämärä ja välittynyt, auttaa meitä ymmärtämään menneisyyttä? Tarkastelemme tässä teemanumerossa pahojen unien ja painajaisten historiaa ja esitämme, että unilla on paljon annettavaa historiantutkimukselle. Unien historialliseen tutkimukseen liittyy kuitenkin monia käsitteellisiä ja menetelmällisiä haasteita, ja niiden suhdetta menneisyyden ihmisten maailmaan ja kokemuksiin on syytä pohtia kriittisesti.
Kansainvälisen historiantutkijoiden maailmanjärjestön XXIII kongressi Poznanissa, Puolassa 21.8–28.8.2022
Authors: Hietala Marjatta
Published: December 2023

Kansainvälisen historiantutkijoiden maailmanjärjestön The International Committee of Historical Sciences (ICHS)/Comité International des sciences historiques (CISH) XXIII kongressi alkoi Poznanin yliopiston juhlavissa tiloissa.
Historiateko-palkinto jaettiin ensimmäistä kertaa
Authors: Hakosalo Heini
Published: December 2023

Historia ei ole tärkeää vaan historioitsijoille, eivätkä historiallista tietoa tuota ja levitä vain historioitsijat, puhumattakaan siitä, että historiallinen keskustelu rajoittuisi ammattipiireihin.
From Hip Screening to Hip Surveillance: Transforming Care for Patients With Cerebral Palsy: An Analysis of a Single Institution
Authors: Sadur Alana , Martinez Curt , Dance Sarah , Travers Ryan , Gonzalez Ariana , Tabaie Sean A.
Published: December 2023

Introduction:

Surveillance programs aimed at monitoring hip displacement in patients with cerebral palsy have been demonstrated to decrease the incidence of hip dislocations and properly time surgical intervention, ultimately improving patient outcomes. The objective of this study was to determine whether the implementation of a hip screening to surveillance program at a tertiary academic teaching hospital in 2017 increased the frequency of radiographic evaluations and changed the timing of surgical intervention.

Methods:

A total of 592 patients with cerebral palsy were identified, and 468 of these patients had initial radiograph date data available. In this analysis, 246 patients with initial radiograph dates after 2012 were included. The study population was divided into two groups based on the initial radiograph date, 2012 to 2016 versus 2017 to 2022. One hundred sixty patients (65%) were in the 2012 to 2016 group, and 86 (35%) were in the 2017 to 2022 group. Statistical analysis was conducted using various techniques, such as two-sample Student t-test, Mann-Whitney U test, chi square/Fisher exact test, and multivariable linear regression analysis.

Results:

The average number of radiographs per year in the 2017 to 2022 group was 0.11 (95% CI: 0.02, 0.20, P = 0.017) higher than the 2012 to 2016 group. After adjusting for confounders using multivariable linear regression analysis, this difference was even larger (difference 0.16, 95% CI: 0.06, 0.25, P = 0.001). The surgical intervention rate was significantly lower in the 2017 to 2022 group compared with the 2012 to 2016 group (12.9% versus 40.6%, P < 0.001).

Discussion:

The results of this study suggest that the implementation of a hip screening to surveillance program results in more frequent radiographic evaluations and possibly a reduced need for surgical intervention from 2017 to 2022. In the 2012 to 2016 group, more surgical interventions were performed likely because of the lack of any hip surveillance or screening program in place.
Polexandre (732-1632) : repentirs uchroniques
Authors: Amstutz Delphine
Published: December 2023

What if Uchronia had been invented during the 17th Century? In the novel Polexandre, Marin Le Roy de Gomberville recycled an old project of his, i.e. a chronicle of the Last Valois Kings, mixing facts and fiction with a lot of freedom. As he stated in Le Discours sur les Vices et les Vertus de l’Histoire (Discourse on the vices and virtues of History), true history could offend and had to be transformed. Invention is based on a “normalized narrative of the real past” (Singles). Parallels between past and present enable the writer to express regrets and to imagine plausible divergent histories, directly influenced by the preoccupations of the time. The narration questions the foundation of History itself and of the received identity of famous historical figures.
Le portrait d'un tyran : Havelock Vétérini dans le Disque-Monde de Terry Pratchett
Authors: Tsimbidy Myriam
Published: December 2023

Focusing on Pratchett’s lavish depiction of an alternate universe, the paper underscores parallels between its imaginary, all-powerful ruler, Veterini, and some actual Renaissance counterparts. More significantly, Veterini appears to embody Macchiavelli’s Prince (with a dash of Hobbes). Thus counter-factual reality allows a philosophical, theoretic character to come to life and effectively exert power, another instance of the political use of uchronia. The relation between counterfactual and factual seems embodied by the art of “stealth chess” which Veterini excels at, where an additional space outside the checkers (the “Slurks”) allows the player to move his pawn in an unplottable way.
21. YÜZYILDA SÜRDÜRÜLEBİLİR BÜYÜME ANLAYIŞI DEĞİŞİYOR MU?
Authors: BERBER Metin , YILMAZ Mücahid Samet , YILDIZ Büşra
Published: December 2023

Sürdürülebilir büyümeye yüklenen anlam artan küresel sorunlara bağlı olarak son yıllarda kayda değer bir değişim göstermiştir. Ekonomik büyümenin sürdürülebilirliği niceliksel gelişim göstergelerinin yanı sıra çok sayıda bileşeni kapsayan bir olgu halini almaktadır. Diğer yandan, sürdürülebilirlik ve ekonomik büyümenin toplumsal getirileri dikkate alındığında ekonomik büyümeye olan gereksinim de tartışmalı hale gelmiştir. Bu çalışmada sürdürülebilir büyümenin belirleyicileri olan bu bileşenler ele alınmıştır. Etki biçimleri, etkinin ortaya çıkma süreleri ve kontrol gücü açısından ekonomik büyümenin sürdürülebilirliğinin iktisadi ve çevresel olmak üzere iki ana koldan sınırlanması söz konusudur. İktisadi sınırlayıcıların ekonomiler üzerindeki etkisi, küresel ekonomide meydana gelen yavaşlama eğiliminde kendisini göstermektedir. Bu sınırlayıcılar temel olarak yatırım artışlarındaki azalışlar ve demografik değişimler ile ilişkilendirilir. Gelişmiş ülkeler açısından her iki faktör önem arz ederken gelişmekte olan ülkeler için demografik fırsatların mevcut olduğu söylenebilir. Ekonomik büyümenin çevre ile olan etkileşimi üretimin hem girdi aşamasında hem de çıktı aşamasında gerçekleşmektedir. Ekonomiler büyüdükçe daha fazla enerji girdisine ihtiyaç duyarken çıktıları da çevre ve iklim üzerinde çeşitli tahribatlara yol açar. Bu sorun sürdürülebilir ekonomik büyümenin önünde önemli bir engel oluşturmaktadır. Bu sınırlar, ağırlıklı olarak gelişmiş ülkeler üzerinde bir baskı yaratmasına rağmen gelişmekte olan ülkelerin bu çerçeveden tamamen ayrışması da olası değildir.
O USO DAS TECNOLOGIAS DIGITAIS DA INFORMAÇÃO E COMUNICAÇÃO (TDIC) NA PRAXE DE CANTO CORAL DURANTE E PÓS COVID-19: UM ESTUDO EM 3 (TRÊS) CONTEXTOS
Authors: De Moraes Daniel Souto , Marins Paulo Roberto Affonso
Published: December 2023

Este artigo é parte de uma dissertação de mestrado em andamento e tem como tema o uso das Tecnologias Digitais de Informação e Comunicação (TDIC) na aprendizagem musical nas Praxe de Canto Coral, antes, durante e após pandemia de Covid 19, em três contextos diferentes. A metodologia adotada será o estudo de caso múltiplo onde 3 (três) cantos corais distintos serão analisados, por meio de observação e entrevistas com os coralistas. Os dados desta pesquisa serão analisados sob a ótica da teoria das Comunidades de Prática de Wenger (1998). Com base nas observações e entrevistas feitas, deverão ser consideradas ações para aplicação em contextos de prática coral em ambientes distintos. Espera-se que esta pesquisa possa trazer contribuições não só para a praxe coral, mas também para a educação musical como um todo.
A EDUCAÇÃO COMPARADA, SEUS LIMITES E POSSIBILIDADES ENTRE O LOCAL E O GLOBAL
Authors: Melo Gilcerlandia Pinheiro Almeida Nunes , Alvarenga Fabiana Cunha Oliveira Tollendal , Carvalho Andreza Gonçalves Cachina , Da Silva Calcinéa Marvila de Oliveira , De Oliveira Roselia Cristina , Ramalho Ronildo de Andrade , De Oliveira Zenayre Mendes , De Oliveira Zenayre Mendes , De Oliveira Danielle Viviane
Published: December 2023

Introdução: Este artigo traz uma reflexão sobre a Educação Comparada, enquanto caminho investigativo dos processos educacionais em toda sua complexidade, suas perspectivas e possibilidades no que tange aos contextos educacionais locais e globais. Além disso, segue-se numa vertente em que se defende observar mais que as diferenças e semelhanças, isto é, ler os diversos sentidos a partir dos aspectos sociais, econômicos e culturais, levando em consideração tempo e lugar, tradições e aspirações dos grupos. Para a produção deste texto, foi realizada uma pesquisa estritamente bibliográfica e alguns autores como: Ferreira (2008), Lourenço Filho (2004), Nóvoa (2009), Bonitatibus (1989 apud Santos; Baade; Silva, 2017) foram fundamentais para a compreensão da temática da Educação Comparada, seu contexto histórico, entre outros aspectos. Portanto, a Educação Comparada, neste artigo, é pensada numa perspectiva para além das experiências mais positivistas iniciais, que se pautavam por rígidas medições, mais descritivas e com valorização da linearidade. Em vez disso, prima-se por uma reflexão mais centrada no Outro, reconhecendo-o e valorizando-o com toda sua complexidade e a partir dele mesmo, de suas características advindas de experiências vividas em seu meio social e cultural.
TREN KONSUMERISME DAN DAMPAK FAST FASHION BAGI LINGKUNGAN KOTA MEDAN
Authors: Pratiwi Fenty Yolanda , Zulian Ibnu
Published: December 2023

Penelitian ini membahas tentang dampak fast fashion terhadap tren konsumerisme anak muda di Kota Medan, menyoroti bahwa fast fashion bukan hanya sekedar gaya hidup namun sebuah tren yang cepat dan dapat mengubah desain serta bentuk dengan cepat. Anak muda menjadi sasaran produk fast fashion, yang dapat didapatkan dalam harga yang relatif murah untuk produk tersebut. Penelitian menunjukkan bahwa fast fashion merupakan masalah lingkungan yang besar, karena menggunakan sejumlah besar udara, CO2, dan energi. Metode pengumpulan data yang digunakan dalam penelitian ini adalah dengan menyebarkan kuesioner secara langsung, menggunakan data primer sebagai data yang digunakan dalam penelitian ini, dan melakukan analisis data dengan menggunakan metode analisis isi. Melalui penelitian ini, penulis sampai pada fakta bahwa meningkatnya kecenderungan konsumsi anak muda di Kota Medan berdampak pada lingkungan hidup di Kota Medan. Limbah yang dihasilkan selama produksi dibuang ke sungai dan laut, sehingga mencemari laut dan makhluk hidup yang hidup di sana. Kandungan bahan kimia tersebut menyebabkan polusi udara dan juga dapat menyebabkan pemanasan global.
PENGARUH EKUITAS MEREK , KUALITAS PRODUK, DAN WORD OF MOUTH TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN PADA PRODUK SMARTPHONE SAMSUNG
Authors: Abdul Lathief Giffari  , Fitroh Adhilla
Published: December 2023

Penelitian ini bertujuan untuk mengetahui apakah Ekuitas Merek, kualitas produk, dan Word Of Mouth berpengaruh secara signifikan terhadap keputusan pembelian konsumen pada pengguna smartphone SAMSUNG di Yogyakarta. Penelitian ini menggunakan pendekatan kuantitatif melalui penyebaran kuesioner dengan google form dan populasi didalam penelitian ini menggunakan teknik penentuan sampel dengan Accidental Sampling dan analisis dalam penelitian ini menggunakan analisis regresi berganda dengan alat analisis SPSS versi 20. Hasil penelitian ini menunjukan bahwa Ekuitas Merek berpengaruh positif dan signifikan terhadap keputusan pembelian konsumen dengan nilai sig. 0,044 < 0,05, kualitas produk berpengaruh positif dan signifikan terhadap keputusan pembelian konsumen dengan nilai sig. 0,002 < 0,05 dan Word Of Mouth berpengaruh positif dan signifikan terhadap kepuasan konsumen dengan nilai sig 0,000 < 0,05. Nilai R square sebesar 0,760 menunjukkan bahwa kemampuan variabel independen dalam menjelaskan variasi variabel dependen sebesar 76% dan sisanya 24% dijelaskan oleh variabel dari luar penelitian ini. Populasi dari penelitian ini adalah seluruh pengguna smartphone Samsung yang berada di Yogyakarta sedangkan Sampelnya adalah sebagian dari pengguna smartphone Samsung yang ada di Yogyakarta.
KEPERCAYAAN DIRI DAN KECEMASAN BERBICARA DIDEPAN UMUM PADA MAHASISWA PSIKOLOGI ANGKATAN 2021/2022 UNIVERSITAS KRISTEN SATYA WACANA
Authors: Valentina Ratri Harnanda  , Christiana Hari Soetjiningsih
Published: December 2023

Penelitian kuantitatif korelasional ini bertujuan untuk mengetahui hubungan antara kepercayaan diri dengan kecemasan berbicara di depan umum. Partisipan berjumlah 75 mahasiswa psikologi angkatan 2021/2022 dengan menggunakan teknik purposive sampling. Instrumen penelitian menggunakan public speaking anxiety scale dari Rogers yang sudah digunakan/dimodifikasi oleh Maulana Rahman dan kepercayaan diri diukur dengan menggunakan skala kepercayaan diri dari Lauster yang sudah digunakan/dimodifikasi oleh Maulana Rahman. Analisis data menggunakan teknik korelasi product moment pearson menunjukkan hasil koefisien korelasi (rxy) 0.247 dengan nilai signifikansi 0.016 (p<0,01) yang berarti bahwa korelasi antar variabel kepercayaan diri dengan kecemasan berbicara didepan umum adalah positif, yang berarti semakin tinggi kepercayaan diri maka kecemasan berbicara di depan umum juga tinggi.
PENGARUH PENGEMBANGAN KARIR DAN MOTIVASI KERJA TERHADAP KEPUASAN KERJA PADA KLINIK NAVAAGREEN NATURAL SKINCARE YOGYAKARTA
Authors: Tri Purwanti  , Muhammad Urnieka Falah  , Sry Wahyuni Hasan
Published: December 2023

Penelitian berjudul “Pengaruh Pengembangan Kariri dan Motivasi Kerja terhadap Kepuasan Kerja Karyawan pada Klinik Kecantikan Navaagreen Natural skincare Yogyakarta” penelitian ini bertujuan untuk menjelaskan pengaruh dari variabel Pengembangan Karir dan Motivasi Kerja terhadap Kepuasan Kerja Karyawan secara simultan dan persial pada Klinik Kecantikan Navaagreen Natural skincare Yogyakarta. Metode penelitian yang diterapkan adalah model kuantitatif, yang melibatkan penggunaan kuesioner sebagai instrumen untuk mengumpulkan data dari 100 responden yang merupakan karyawan. Dari hasil Uji T (persial) menunsjukan bahwa Pengembangan Karir dan Motivasi kerja berpengaruh terhadap Kepuasan Keja Navaagreen Natural skincare Yogyakarta. Berdasarkan hasil Uji f (simultan) menunjukan Fhitung (105,183) >  Ftabel (3,09) dengan nilai Signifikanj (0,000 < 0,05). Artinya Pengembangan Karir dan Motivasi Kerja berpengaruh terhadap Kepuasan Kerja Navaagreen Natural skicareare Yogyakarta.
ANALISIS BEBAN KERJA KARYAWAN PADA DEPARTEMEN AFTERSALES KIA HARAPAN INDAH
Authors: Angelia Merdiyanti  , Nabila Dwi Lestari  , Yulius Jatmiko Nuryatno
Published: December 2023

Penelitian ini bertujuan mengukur beban kerja dan jumlah tenaga kerja optimal untuk menyelesaikan pekerjaan pada Departemen Aftersales KIA Harapan Indah. Metode penelitian yang digunakan adalah Full Time Equivalent (FTE) pada 6 jabatan, yaitu part admin, service advisor, technician, foreman, cashier dan security. Pengukuran nilai FTE dilakukan dengan menghitung beban kerja seluruh karyawan dalam satu jabatan selama periode waktu tertentu. Untuk itu diperlukan data frekuensi setiap unit pekerjaan, waktu untuk menyelesaikan suatu pekerjaan, dan jumlah orang yang melakukan suatu pekerjaan. Hasil pengukuran menunjukkan total beban kerja untuk jabatan part admin, service advisor, technician, foreman, cashier dan security masing-masing sebesar 70202 menit, 262766 menit, 640965 menit, 296685 menit, 105512 menit, dan 114672 menit. Adapun nilai FTE untuk jabatan part admin, cashier dan security berturut-turut sebesar 0,75, 1,02, dan 1,08 yang menunjukkan beban kerja berada pada kriteria normal. Sedangkan indeks FTE untuk jabatan service advisor, technician, dan foreman menunjukkan beban kerja pada kriteria overload dengan nilai masing-masing sebesar 2,21, 5,07, dan 2,46. Berdasarkan perhitungan kebutuhan tenaga kerja diperoleh jumlah karyawan optimal untuk jabatan Part Admin dan cashier masing-masing 1 orang, untuk jabatan Service Advisor dan Foreman masing-masing sebanyak 3 orang, untuk jabatan Technician sebanyak 7 orang, dan untuk jabatan Security sebanyak 2 orang.
PENGARUH TINGKAT PENGANGGURAN DAN RATA-RATA LAMA SEKOLAH TERHADAP KEMISKINAN DI SUMATRA UTARA TAHUN 2002-2022
Authors: Reynalda Utari Karo Karo  , Rifka Aqiila  , Shopia Amanda  , Zaskya Humairah  , Nasrullah Hidayat
Published: December 2023

Tujuan dari dilakukannya penelitian ini untuk mengetahui bagaimana pengaruh tingkat pengangguran dan rata-rata lama sekolah mempengaruhi tingkat kemiskinan di Provinsi Sumatra Utara mulai dari tahun 2002 sampai dengan tahun 2022. Penelitian ini dilakukan dengan metode kuantitatif dengan menggunakan aplikasi eviews 10 dan menggunakan teknik analisis berganda. Penelitian ini memiliki hasil variabel pengangguran berpengaruh positif signifikan terhadap angka kemiskinan, sedangkan variabel rata-rata lama sekolah berpengaruh negatif signifikan terhadap angka kemiskinan. Sedangkan secara bersama sama seluruh variabel yang diuji yaitu pengangguran dan rata-rata lama sekolah berpengaruh secara simultan terhadap variabel kemiskinan.
The Skewed World of Jan Darasz
Authors: Darasz Jan
Published: December 2023

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Fulfilling an ethical obligation: An educative research assistantship
Authors: McGinn Michelle K. , Niemczyk Ewelina K. , Saudelli Mary Gene
Published: December 2023

Scant research evidence is available about the day-to-day workings of research assistantships or the educational possibilities they provide for research assistants and their academic supervisors. This case study documents the equitable, educative, and ethical nature of one research assistantship at a Canadian university. Data sources include audio recordings and transcripts from 24 research meetings, along with field notes and textual documents gathered over 8 months as the research assistant and academic supervisor designed, conducted, and presented an interview-based study. Evidence shows the academic supervisor supported the research assistant as she learned research skills and developed confidence as a researcher. The case study provides a potential model of an equitable, educative, and ethical research assistantship for the consideration of other research assistants and academic supervisors. Il existe peu de données de recherche portant sur les activités quotidiennes qu’impliquent les assistanats à la recherche ou sur les possibilités éducatives qu’ils offrent aux assistants à la recherche et à leurs superviseurs académiques. Cette étude de cas évoque la nature équitable, éducative et éthique d’un assistanat à la recherche dans une université canadienne. Les sources de données comprennent des enregistrements et des transcriptions audio de 24 réunions de recherche, des notes d’observation sur le terrain et des textes recueillis au cours de 8 mois pendant lesquels l’assistante à la recherche et le superviseur académique ont conçu, entrepris et présenté une étude reposant sur les entrevues. Des données probantes indiquent que le superviseur a appuyé l’assistante à la recherche pendant qu’elle acquérait des compétences de recherche et prenait confiance en elle comme chercheuse. Cette étude de cas constitue un modèle potentiel d’assistanat à la recherche équitable, éducatif et éthique que pourraient examiner d’autres assistants à la recherche et superviseurs académiques.
Government Policy and Postsecondary Education in Alberta: A ‘Field Theory’ Analysis
Authors: Schmaus David , Wimmer Randolph
Published: December 2023

While the landscape of postsecondary education in Alberta continues to expand and diversify, there seems to be very little written about the organization of postsecondary education in the province over the past 15 to 20 years (Wimmer & Schmaus, 2010). This paper provides an analysis of postsecondary education in Alberta over the past 15 to 20 years using social theory, specifically “thinking tools” (Grenfell & James, 2004) provided in Bourdieu’s Field Theory to reveal power struggles in the system. Government policies that drive postsecondary institutions to struggle for position in market-like conditions while tightly controlling the parameters of that market are explored. We discuss the role government policy plays in the reproduction of power structures and their distribution of capital in the province of Alberta. Alors que l’éducation postsecondaire en Alberta continue à s’étendre et à se diversifier, on a très peu écrit sur son organisation dans les 15 ou 20 dernières années (Wimmer & Schmaus, 2010). Cet article analyse l’éducation postsecondaire en Alberta dans les 15 ou 20 dernières années par le biais de la théorie sociale, notamment les outils de pensée (Grenfell & James, 2004) de la théorie des champs de Bourdieu, de sorte à dévoiler les luttes pour le pouvoir au sein du système. Nous nous penchons sur les politiques gouvernementales qui poussent les établissements postsecondaires à se battre pour leur position dans des conditions qui ressemblent à celles du marché tout en contrôlant strictement les paramètres de ce marché. Nous discutons le rôle des politiques gouvernementales dans la reproduction des structures du pouvoir et leur répartition du capital aux établissements postsecondaires en Alberta.
Direitos das crianças, educação infantil e o ensino remoto: uma análise a partir das DCNEI’S e da BNCC
Authors: Dutra Corrêa da Silva Isabela , Belmonte Machado Roseli
Published: December 2023

A presente pesquisa está ancorada nos pressupostos que regulam os direitos da criança à Educação Infantil, os quais devem ser assegurados nas distintas situações. Ao partir dessa premissa, o estudo debruça-se em problematizar a garantia desses direitos no âmbito do ensino remoto, advindo da necessidade de distanciamento social pela pandemia mundial de Covid-19. O objetivo da pesquisa é o de analisar os princípios pedagógicos para as crianças, elucidados nas Diretrizes Curriculares Nacionais para a Educação Infantil (DCNEI), e os direitos de aprendizagem, previstos na Base Nacional Curricular Comum (BNCC), na realização do ensino de forma remota, entre 2020 e 2021. Para tanto, foram analisados esses dois materiais, tendo como lentes teórico-metodológicas os Estudos Foucaultianos em Educação, tendo a governamentalidade como grade de análise, operando com o conceito de governamento. Como apontamentos, nota-se um afastamento de muitos dos princípios educativos presentes nas DCNEI e na BNCC, durante o ensino remoto, refletindo em outra concepção dessa etapa da Educação Básica.