bluuebunny/crossref_metadata_2025 huggingface dataset:
The difference in IL-17 level between mild and severe COVID-19 inpatients of H. Adam Malik General Hospital
Authors: Sembiring Alemmina , Loesnihari Ricke , Rahmaini Ade
Published: September 2024

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by a new coronavirus, Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2). Pro-inflammatory cytokines play a central role in many viral respiratory infections by coordinating and activating adaptive immune responses. Higher serum levels of pro-inflammatory cytokines (TNF-α, IL-1β, IL-2, IL-6 and IL-17) and chemokines (IL-8) have been observed in many patients with severe COVID-19 compared with individuals with a mild degree. This research is an observational study with cross sectional data collection method. This study took blood samples from mild and severe COVID-19 patients who were treated at the HAM Hospital as many as 34 patients. Samples were examined only once for IL-17 in mild and severe COVID-19 patients. The research was conducted after obtaining ethical approval and informed consent. This study was followed by 18 female subjects (52.9%). The mean age of the subjects was 47.52 years with the youngest age being 23 years old and the oldest being 81 years old. By using the Mann Whitney test, it showed that there was a significant difference in interleukin 17 levels between Covid-19 patients with severe and mild degrees (p = 0.049). IL-17 examination can be used as an alternative diagnostic marker and assess the severity in COVID 19 patients. Further studies are needed that involve a larger number of subjects, and are associated with other inflammatory markers such as CRP or with coagulation status such as D- dimer.
Formulation and evaluation of red ginger extract tablet (Zingiber officinale var. rubrum) as lozenges
Authors: Paramitha Ratih , Marfitania Taranipa , Januarti Ria , Hanief Said , Tambunan Pravil Mistryanto
Published: September 2024

Red ginger (Zingiber officinale var. rubrum) with a high content of phenols (e.g. gingerol, shogaol, etc.) has potential effects against throat inflammation such as cold, sore throat, tonsilitis, etc. This research aims to determine the formulation of lozenge tablets using red ginger extracts. Lozenges tablets are made from dry ginger extract using a wet granulation method prepared by various concentrations of pregelatinized cassava starch 1 % w/v (F0); 2 % w/v (F1) and 5 % w/v (F2) as a binder and HPMC 2 % w/v (F3) as a comparative binder. Red ginger extract was prepared by maceration method using 96% ethanol solvent which is then evaporated using a rotary evaporator to obtain a thick extract. Thick red ginger extract is formulated into lozenges with various formulations F0, F1, F2, and F3. Physical characteristics evaluation of lozenge tablets includes physical appearance, weight uniformity, hardness, and disintegration time. The physical appearance of the tablet is round in shape and bright yellow in color. Based on the evaluation of all the formulas made, F2 has good criteria as a red ginger extract lozenge which has a hardness of 6 kg and disintegration time of 5 minutes 4 seconds.
The effect of telang flower extract on kidney function and histopathological features of obese rat kidneys
Authors: Astuti Mia Puji , Lister Clarissa , Renaldi Muhammad Rizal , Suhartina Suhartina
Published: September 2024

This study aims to determine the effect of oral administration of telang flower extract in several doses on histopathological changes in kidney organs. This study used a post test only control group design. Researchers used 6 Wistar rats for each experimental group, so that the total number of test animals in this study was 24. Grouping of test animals was done randomly into 4 test groups. Histopathological observations of kidney tissue were made by comparing the control and treatment groups. Changes observed will be the presence of fatty degeneration (vacuolization), necrosis and hydrophic degeneration. To obtain quantitative data, scoring was performed on each change found. The data from the study were then analyzed with the help of SPSS. Data normality test was analyzed by Kolmogorov-Smirnov test (p > 0.05). To test the significance between test groups, one-way analysis of variance or One Way ANOVA technique was conducted at 95% confidence level (p < 0.05). Further analysis or test was conducted using Post Hoc Test with LSD technique. The results showed that the administration of telang flower extract at a dose of 600mg/KgBB was effective in improving kidney function in obese Wistar white rats. This improvement is seen through increased levels of ureum, creatinine, and improved renal histological structure. Histopathological observation of kidney tissue showed that treatment group 3, which received telang flower extract at a dose of 600mg/KgBB, experienced significant improvement and was closer to the control group than the other groups.
Intestinal parasitic infections and associated risk factors: A cross-sectional study in Sunggal District, Deli Serdang
Authors: Sinaga Janry Lewis Hasan Sarma , Siahaan Lambok , Amelia Rina
Published: September 2024

Intestinal protozoan infections have been reported worldwide with highly variable prevalence rates, particularly in tropical and subtropical regions. Despite this, limited research has been conducted on intestinal protozoan infections over the past decade, both in Indonesia and specifically in North Sumatra. Therefore, further investigation into the prevalence and risk factors of intestinal parasitic infections, especially protozoan infections, in areas surrounding Medan is warranted. This cross-sectional study assessed the association between risk factors and intestinal parasitic infections among 136 residents of Sunggal District, Deli Serdang, selected using consecutive sampling. Participants underwent interviews to evaluate risk factors using a checklist and provided fecal samples, as well as livestock samples if applicable. Data were analyzed using the Chi-square test and Fisher's exact test. Results revealed a significant association between age and Protozoa infection (p = 0.001), helminth infection (p = 0.0002), and overall parasitic infection (p = 0.0001). However, no significant associations were found for other variables. Furthermore, sanitation and hygiene levels were not significantly associated with parasitic infections (p > 0.05). These findings suggest that the risk factors assessed in this study were not significantly associated with intestinal protozoan infections. Nonetheless, the prevalence of both overall parasitic infections and protozoan infections remains high, with a spectrum ranging from asymptomatic to symptomatic cases. Further research is needed to elucidate the complex interplay of factors contributing to the persistence of these infections in the region.
A AGENDA NEOLIBERAL NO GOVERNO TEMER
Authors: Cavalcante Castelo Branco Ronald , Fontineles Claudia Cristina da Silva
Published: September 2024

Este estudo analisa o avanço do neoliberalismo durante o governo Temer (2016-2018), com foco na PEC 55/2016 (teto de gastos) e na PLC 37/2017 (reforma trabalhista), e seu impacto na sociedade brasileira. A pesquisa avalia a cobertura midiática dessas medidas, com as disputas de narrativa por parte da Revista Fórum e Brasil247 (contrárias às reformas), contrastadas com os discursos dos portais R7.com e PortalG1. Destaca-se a complexa interação entre mídia, política e empresários, enfatizando como a imprensa influencia a opinião pública e a dinâmica política. Utiliza-se a hermenêutica em obras acadêmicas sobre o processo histórico-político em torno da gestão Temer. Discorre-se, com o método hipotético-dedutivo, sobre dados de trabalho e renda provenientes de pesquisas da FGV e do IPEA, para medir impactos qualitativos e quantitativos da reforma trabalhista e da PEC do teto de gastos.
NOVAS POSSIBILIDADES PARA HISTORIOGRAFIA A PARTIR DA MULTICOLABORAÇÃO PROPORCIONADA PELO FACEBOOK E O USO DO IRAMUTEQ PARA EXPLORAÇÃO DOS DADOS
Authors: Dos Santos Bengochea Bruno
Published: September 2024

O texto a seguir é parte de uma das discussões apresentadas na dissertação de mestrado "Fatos e Coisas de Antanho: Facebook, memória fotográficas, história digital”. Defendida no ano de 2022 dentro do Programa de Pós-Graduação em História da Universidade Federal de Pelotas. Busca apresentar ao leitor uma experiência de pesquisa em fontes produzidas no formato digital. Entre muitas possibilidades que o universo digital possibilitou aos historiadores do tempo presente, estão as publicações do Facebook: a rede social digital com mais usuários do planeta. Nas publicações os usuários têm a possibilidade de se expressar por imagens, vídeos ou textos. Além disso, com a possibilidade atribuição de comentários às publicações tornam-se um grande fórum com ricas informações, inclusive históricas. A partir da busca sobre o tema do “Carnaval da Colombo” na cidade de Rio Grande – RS em um grupo do Facebook, se busca explorar as possibilidades do universo digital o qual todos estamos imersos.
El rol de los animales cavadores en el sitio Laguna del Indio (área Interserrana bonaerense, Argentina)
Authors: Stoessel Luciana , Alcaráz Ana P. , Vecchi Rodrigo , Tomassini Rodrigo
Published: September 2024

El sitio Laguna del Indio se localiza en proximidades de la laguna homónima (partido de Coronel Suárez, provincia de Buenos Aires). Los análisis realizados sugieren que el sitio habría funcionado como un campamento residencial asociado al espejo de agua, en el que se llevaron a cabo diversas actividades domésticas durante el Holoceno medio y tardío, como la confección de artefactos líticos y el procesamiento y cocción de especies animales y vegetales. Durante las tareas de excavación se observó la presencia de sedimentos bioturbados que podrían ser consecuencia de la acción de diversos agentes biológicos (e.g., raíces, animales de hábitos subterráneos/fosoriales). En relación con esto, una de las particularidades del contexto excavado fue el hallazgo de una gran cantidad de estructuras de cavado producidas por mamíferos de hábitos fosoriales o semi-fosoriales (e.g., roedores y armadillos). Dado que la actividad de animales cavadores produce una importante perturbación en la estructura sedimentaria, es posible que su presencia haya generado la alteración en la distribución de los materiales arqueológicos. En este trabajo se evalúa la influencia de estos agentes en el grado de integridad y resolución del registro. Los estudios realizados permitieron comenzar a comprender la historia tafonómica del conjunto recuperado en el sitio. Los resultados obtenidos evidenciaron que el contexto arqueológico fue altamente perturbado por la acción de animales cavadores como los roedores y armadillos. En consecuencia, el sitio posee una baja resolución y una mala integridad lo que impide discriminar y caracterizar las ocupaciones correspondientes al Holoceno medio y tardío.
Procesos participativos para la protección del patrimonio arqueológico en el Municipio de Trinidad, Bolivia
Authors: Endere María Luz , Jaimes Betancourt Carla , Lehm Zulema
Published: September 2024

El amplio y denso legado arqueológico de los Llanos de Moxos constituye un desafío para su valoración y protección a nivel local, nacional e internacional. La magnitud de los recientes hallazgos generados a partir del empleo de la tecnología LiDAR ha despertado inquietud y expectativas en la comunidad académica y en diferentes sectores de la sociedad. En ese marco, respondiendo a la solicitud de entidades locales, se organizaron talleres para discutir estrategias de protección de los bienes arqueológicos en el Municipio de Trinidad. Se emplearon metodologías participativas para la identificación de problemas, objetivos y líneas de acción, así como para conocer los valores que cada uno de los grupos de interés seleccionados le atribuyen al patrimonio. Como resultado de la actividad efectuada, se conformaron grupos de trabajo y se definieron sus agendas. En este artículo se presenta la experiencia del taller y sus resultados y se discuten, a partir de este caso, los retos que representa la puesta en marcha de dinámicas participativas para la salvaguarda patrimonial.
The Ability of Vermicompost to Mitigate the Impacts of Salinity Stress on Soil Microbial Community: A Review
Authors: Malal Halima , Hamza Mohamed Ait , Lakhtar Hicham
Published: September 2024

Soil salinity is a major challenge in many developing countries, affecting soil fertility and crop productivity. Salinity directly affects the soil microbiome through osmotic pressure and ion toxicity, resulting in diminished microbial biomass and activity. Additionally, indirect repercussions involve reduced organic carbon inputs and aggregate stability, reducing microbial diversity and functions. Salinity induces a microbial community shift toward the abundance of halotolerant and halophile microorganisms. The use of organic amendments is a promising approach. Indeed, the application of vermicompost, with its rich nutrient and organic matter content, proves effective in counteracting the impact of salinity on the soil microbiome by providing available nutrients, decreasing the plasmolysis of cells by reducing the Na+/K+and Na+/Ca2+ratios, improving the soil texture, increasing the microbial diversity, and shifting the soil microbiome toward the abundance of beneficial soil microbiota. Despite these positive effects, carefully considering the initial EC of both soil and vermicompost and the applied quantity is crucial to ensuring maximum benefits. Overall, vermicompost holds considerable potential as a sustainable management strategy to mitigate the impact of salinity on soil microbiome, promoting overall soil health and enhancing crop production.
Yeni Kararsız Bulanık Portföy Optimizasyonu Modeli ve Türkiye Uygulaması
Authors: Derya Tusan , Kelce Mehveş Güliz , Atalay Kumru Didem
Published: September 2024

Geleneksel portföy teorisi bir dizi hisse senedi ve diğer finansal varlıkların getiri ve riskler gibi niceliksel verilere bağlı olarak optimum yatırım oranlarının bulunması üzerine tasarlanmıştır. Ancak getiri ve risk arasındaki ilişki önemli bir kuram olup getirisini yükseltmek isteyen yatırımcı büyük risk oranlarına katlanmak zorunda kalabilir. Bu veriler her zaman net olarak bilinmeyebilir ve belirsizliğe sebep olurlar. Bu durumda kesin verilerle çalışmak yerine bulanık teorinin yardımıyla oluşturulan yeni modellerin gelişmesine ihtiyaç duyulmuştur. Bu çalışmada bulanık teorinin genişletilmiş bir uzantısı olan kararsız bulanık teori ele alınmış ve portföy optimizasyonu için yeni bir karasız bulanık matematiksel model geliştirilmiştir. Model bulanık riskin enküçüklenmesi halinde bulanık getirinin en büyük değerinin bulunması üzerine kurulmuştur. Bu model Türkiye’de Borsa İstanbul 50 (BIST 50)’da yer alan hisse senetlerinin günlük kapanış değerleri alınarak portföy seçeneklerinin belirlenmesi amacıyla kullanılmış ve yorumlanmıştır.
INFORMATION SUPPORT OF STATE AND MUNICIPAL ADMINISTRATION BODIES: PROBLEMS AND PROSPECTS
Authors: Корелин В.А. , Степанова В.В.
Published: September 2024

Данная научная статья исследует современные вызовы и перспективы информационного сопровождения органов государственного и муниципального управления посредством размещения информации об их деятельности в СМИ, на специализированных сайтах и в социальных медиа. Обсуждаются основные проблемы, связанные с эффективностью использования информационного сопровождения в административной сфере, включая недостатки в коммуникации между властью и обществом через указанные каналы. Анализируются стратегии улучшения информационной политики для повышения качества принимаемых управленческих решений и обеспечения эффективного взаимодействия между органами местного, регионального и федерального уровней и гражданами. Статья основана на систематизации российских и зарубежных научных публикаций об имеющихся проблемах осуществления информационного сопровождения деятельности региональных и муниципальных органов власти и путях их решения в целях информирования органов власти о своей политике и получения обратной связи от населения, а также обобщается опыт Архангельской области в данной сфере работы. В статье также рассматриваются перспективы развития информационного сопровождения и его потенциал для оптимизации процессов государственного и муниципального управления в условиях, определяющих современную цифровую эру.

This scientific article investigates the current challenges and prospects of information support for state and municipal government bodies through the placement information about their activities in the media, on specialized websites and in social media. The main problems related to the effectiveness of information support in the administrative sphere are discussed, including shortcomings in communication between the authorities and society through these channels. Strategies for improving information policy to management decisions’ refinement and ensure effective interaction between local, regional and federal authorities and citizens are analyzed. The article is based on the Russian and world scientific publications’ systematization about the existing problems of the regional and municipal authorities’ activities information support and ways to solve them in order to inform about their policies and receive feedback from the population, and also summarizes the Arkhangelsk region’s experience in this work. The article also considers the information support development prospects and its potential for optimizing the governance’s processes in the modern digital era.
TOMOGRAPHY OF THE TERRITORIAL ECONOMIC ECOSYSTEM’S SUSTAINABLE DEVELOPMENT
Authors: Попов Е.В. , Челак И.П. , Кавецкий С.А.
Published: September 2024

Цель настоящего исследования -разработка методологического подхода к анализу устойчивого развития экономической экосистемы территории на основе послойного анализа цифровых взаимодействий органов власти со стейкхолдерами экосистемы территории. Информационная база исследования – статьи, опубликованные в открытом доступе и проиндексированные в базах данных Scopus и РИНЦ, а также авторские разработки по стейкхолдерскому представлению экономических экосистем территории и эволюционному развитию подобных экосистем. Предложено проводить томографический анализ элементов экономической экосистемы территории на основе основных этапов ее развития: рождение, укрепление, лидерство, обновление. Разработан методологический подход к анализу устойчивого развития экономической экосистемы территории на основе послойного анализа цифровых взаимодействий органов власти со стейкхолдерами экономической экосистемы: муниципалитетами, средствами массовой информации, научными и образовательными учреждениями, предприятиями бизнеса, обществом. Проанализированы цифровые технологии для управления устойчивым развитием территорий. Научная новизна полученного результата заключается в разработке методологического подхода к анализу устойчивого развития экономической экосистемы территории на основе послойного анализа цифровых взаимодействий органов власти со стейкхолдерами экономической экосистемы, дополняющего существующие методы анализа развития территорий.

The purpose of this study is to develop a methodological approach to the sustainable development analysis of the territory’s economic ecosystem based on a digital interactions’ layered analysis between government authorities and ecosystem’s stakeholders on the territory. The research information base consists of articles indexed in the Scopus and RSCI databases, as well as author's developments on the stakeholder representation of the territory’s economic ecosystems and such ecosystems’ evolutionary development. It is proposed to carry out a tomographic analysis of the territory economic ecosystem elements based on the main its development stages: birth, strengthening, leadership and renewal. A methodological approach has been developed to analyze the sustainable development of the territory’s economic ecosystem based on a layered analysis of digital interactions between government authorities and stakeholders: municipalities, mass media, scientific and educational institutions, business enterprises and society. Digital technologies for managing territories’ sustainable development are analyzed. The scientific novelty lies in the methodological approach development to the sustainable development analysis of the territory’s economic ecosystem based on a layered digital interactions analysis between government authorities and stakeholders of the economic ecosystem, which complements the existing methods of the territories’ development analysis.
SYSTEMATIZATION OF TYPICAL PARENTING PRACTICES: SEARCH FOR CRITERIA OF EFFECTIVENESS OF COMBINING EMPLOYMENT WITH CHILDREN RAISING
Authors: Тонких Н.В. , Баранова Н.В.
Published: September 2024

Настоящая статья посвящена теоретическим и методическим аспектам обоснования критериев эффективности совмещения оплачиваемой занятости с родительскими практиками. Актуальность исследовательского вопроса соотносится с национальными приоритетами развития Российской Федерации, определена текущими демографическими и кадровыми проблемами на рынке труда. В связи с трансформацией трудовой сферы и института семьи расширяется вариативность форматов совмещения работы с родительством. Поиск эффективных практик родительства важен с точки зрения воспроизводства человеческих ресурсов и развития системы социально-трудовых гарантий для работающих матерей и отцов. Цель авторской работы – определение методического подхода к разработке технологии и инструментария оценки эффективности совмещения оплачиваемого и родительского труда. Основной метод исследования – кабинетный анализ научной литературы за период последних 20 лет. В статье на основе систематизации типологий и классификаций родительства выделено шесть укрупненных компонентов профиля родительских практик. Новизна работы заключается в дополнении авторами элементов профиля родительских практик седьмым компонентом «Модель совмещения работы и родительства». Предложен методический подход для разработки инструментария количественно-качественных исследований эффективных практик совмещения оплачиваемого и родительского труда.

This article is devoted to the theoretical and methodological aspects of substantiating the criteria for the effectiveness of combining paid employment with parental practices. The relevance of the research issue correlates with the national development priorities of the Russian Federation, determined by the current demographic problems and shortage of personnel in the labor market. Due to the labor sphere and the family institution transformations, the variability of formats for combining work with parenthood is expanding. The search for effective parenting practices is important from the human resources reproduction point of view and from the social and labor guarantees system development for working mothers and fathers. The purpose of our work is to define a methodological approach to the technology and tools development for evaluating the effectiveness of combining paid and parental work. The main research method is a comprehensive analysis of scientific literature over the last twenty years. Based on the parenthood’s typologies and classifications systematization, six enlarged components of the parental practices profile are identified. The novelty of the work lies in the elements’ addition to the parental practices profile with the seventh component "The model of combining work and parenting". A methodological approach is proposed for the tools’ development for quantitative and qualitative study of effective practices of combining paid and parental work.
PENGARUH PAJAK HIBURAN, PAJAK REKLAME DAN PAJAK PENERANGAN JALAN TERHADAP PENDAPATAN ASLI DAERAH KABUPATEN KOLAKA
Authors: Misriani A. Zaenatul , Kartomo Kartomo , Sabarudin Sabarudin
Published: September 2024

This study aims to determine the effect of entertainment tax, advertising tax, and street lighting tax on the Regional Original Income of Kolaka Regency seen partially. And to determine the simultaneous effect of Entertainment Tax, Advertising Tax, and Street Lighting Tax on the Regional Original Income of Kolaka Regency seen simultaneously. The type of approach in this study is quantitative. This research was conducted at the Regional Revenue Agency (BAPENDA) of Kolaka Regency. The data source used in this study is secondary data. The data analysis techniques used are descriptive statistical analysis, normality test, multicollinearity test, heteroscedasticity test, autocorrelation test, multiple linear analysis test, partial test (t-test), simultaneous test (F-test) and determination coefficient test with the help of SPSS version 25. The results of this study indicate that entertainment tax has a positive and significant effect on the original regional income of Kolaka Regency, advertising tax has a positive and insignificant effect on the original regional income of Kolaka Regency, street lighting tax has a positive and significant effect on the original regional income of Kolaka Regency, entertainment tax, advertising tax, street lighting tax have a simultaneous effect on the original regional income of Kolaka Regency.
Keywords: Entertainment Tax, Advertising Tax, Street Lighting Tax, Original Regional Income
 
ABSTRAK
Penelitian ini bertujuan untuk mengetahui pengaruh pajak hiburan, pajak reklame, dan pajak penerangan jalan terhadap Pendapatan Asli Daerah Kabupaten Kolaka dilihat secara parsial. Dan untuk mengetahui pengaruh secara simultan Pajak Hiburan, Pajak Reklame, dan Pajak Penerangan Jalan terhadap Pendapatan Asli Daerah Kabupaten Kolaka dilihat secara simultan. Jenis pendekatan dalam penelitian ini adalah kuantitatif. Penelitian ini dilakukan di Badan Pendapatan Daerah (BAPENDA) Kabupaten Kolaka. Sumber data yang digunakan dalam penelitian ini adalah data sekunder. Teknik analisis data yang digunakan adalah analisis statistik deskriptif, uji normalitas, uji multikolinearitas, uji heterokedastisitas, uji autokorlasi, uji analisis linear berganda, uji parsial (Uji t), uji simultan (Uji F) dan uji koefisien determinasi dengan bantuan program SPSS versi 25. Hasil penelitian ini menunjukkan bahwa pajak hiburan berpengaruh positif dan signifikan terhadap pendapatan asli daerah Kabupaten Kolaka, pajak reklame berpengaruh positif dan tidak signifikan terhadap pendapatan asli daerah Kabupaten Kolaka, pajak penerangan jalan berpengaruh positif dan signifikan terhadap pendapatan asli daerah Kabupaten Kolaka, pajak hiburan, pajak reklame, pajak penerangan jalan berpengaruh secara bersama-sama (simultan) terhadap pendapatan asli daerah kabupaten kolaka.
Kata Kunci: Pajak Hiburan, Pajak Reklame, Pajak Penerangan Jalan, Pendapatan Asli Daerah
Customer Segmentation by using Annual E-Invoice Data
Authors: Demir Fahrettin Burak , Çelik Gürkan
Published: September 2024

As businesses navigate the digital landscape, the proliferation of electronic transactions has led to an abundance of valuable data that can be harnessed for strategic decision-making. This study explores the application of CRM and RFM analysis for customer profiling and segmentation, utilizing e-invoice data as a rich source of information. By leveraging these advanced statistical techniques, the research aims to uncover hidden patterns within electronic transaction records, allowing for the identification of distinct customer segments based on their purchasing behavior. The methodology involved collecting and pre-processing one year of e-invoice data from Fit IT Company, followed by applying statistical models to uncover underlying structures and relationships. Furthermore, the research examines the implications of customer segmentation on marketing strategies, customer relationship management, and personalized service offerings.
CRM and RFM analyses were performed on the annual sales data obtained as a result of e-invoice usage service to customers. When the results of the analysis were analyzed, the number of transactions belonging to the sender, recipient, and parties in the top 10 every month were extracted. It has been demonstrated that customer segmentation can be conducted more comprehensively by using CRM and RFM analyses together. While CRM analysis focuses on transaction volume and customer relationships, RFM analysis provides a more detailed perspective on customer behavior by evaluating purchase frequency, recency, and monetary value. In the study, by analyzing e-invoice data through these two methods, the most valuable customer groups were identified, and how strategic marketing approaches can be developed for these groups was illustrated. The combined use of CRM and RFM analyses allows for more accurate customer segmentation based on both transaction volume and spending habits. This approach concludes that strategies can be developed to increase customer loyalty, optimize marketing strategies, and improve business performance.
A modernitás és a vallás viszonya a jógaközösségek antropológiai vizsgálatán keresztül
Authors: Kovács Endre
Published: September 2024

Az új vallási mozgalmak, a New Age jelenség és az alternatív vallásosság térhódítása komoly kihívások elé állítja a hagyományos egyházakat és egyúttal átformálja a vallási életet a modern társadalomban. A vallásos dimenzió továbbra is releváns marad, mivel igény támad a spiritualitás élményszerű megtapasztalására egy elvarázstalanodott (disenchantment) – vagy annak vélt – világban. Ez a cikk a vallás és modernitás kapcsolatát vizsgálja a magyarországi jógaközösségek példáján keresztül. A kutatás során kvalitatív módszereket alkalmazva résztvevő megfigyelést és félig strukturált interjúkat végeztem a különböző jógaközösségekben. A jógaközösségek tevékenysége kiemelkedő megjelenési formája az egyre népszerűbb modern spiritualitásnak, így azt remélem, hogy a gyűjtött adatok megfelelő értelmezése mélyebb betekintést nyújt a modernitás és a vallás kapcsolatába. Az elemzés során az autenticitás mint szimbolikus tőke kerül megfogalmazásra, amelyben az alternatív vallások, köztük a jógaközösségek is a világ újravarázsiasításának (re-enchantment) lehetőségét látják. A cikk rámutat arra, hogy a spirituális mező aktorai az értékvesztés érzésére reagálva igyekeznek újra betölteni az emberi társadalom spirituális dimenzióját.
The effect of diffusion on multistability and stochastic sensitivity in spatially extended systems
Authors:   Department of theoretical and mathematical physics, Ural Federal University, Russia, Kolinichenko Alexander
Published: September 2024

A spatially-extended reaction-diffusion model is considered. The work is focused on self-organization mechanisms of diffusion instability and Turing pattern formation. Pattern generation and multistability of the system is demonstrated for varying diffusion intensity. In the stochastic variant of the model, the sensitivity of coexisting patterns to noise is studied. The stochastic sensitivity function technique is used for the analysis of noise-induced transitions between patterns. Application of stochastic sensitivity functions is discussed on examples.
Estrategias de aprendizaje con inmersión tecnológica en contextos rurales
Authors:   , Honcharuk Mileva Soraya
Published: September 2024

El trabajo pone en relieve el papel relevante que tienen las tecnologías digitales para garantizar el derecho a la educación y el cuidado de las infancias y juventudes rurales, al propiciar su permanencia en el paraje rural (evitando el desarraigo temprano). Permanencia que es posibilitada por un piso tecnológico híbrido y una configuración pedagógico-didáctica inmersiva que pone en valor y en relieve el factor humano y afectivo que se visibiliza en un particular gesto pedagógico en torno a los destinatarios de la propuesta. De la investigación se desprenden: (i) Una definición de co-aprendizaje. La definición procura significar a los aprendizajes colectivos posibilitados exclusivamente por tecnologías digitales; (ii) Una definición de “inmersión tecnológica en los contextos rurales” que pone en valor el papel innegable que juegan las tecnologías digitales en los contextos rurales desde el momento en que permiten “vivenciar” a las juventudes rurales experiencias educativas genuinas. Además en las respuestas halladas a las preguntas de investigación y a las conclusiones se presentan: (iii) Un modelado que representa la relación didáctica y pedagógica que vincula al docente con tutor virtual. Vinculación que es nombrada como: Díada-docente, en la cual el grado de interactividad determina un particular gesto pedagógico hacia los estudiantes y el grado de logro de la autorregulación de los aprendizajes; (iv) Un modelo de análisis que es posible desplegar en otras investigaciones. Dicho modelo surge de la tercera generación de la Teoría Histórico Cultural de la Actividad (THCA), es una constelación que presenta al sistema completo que integra el universo en estudio. La construcción de dicha constelación permite presentar las relaciones existentes entre los diferentes subsistemas que integran un sistema relacional. A partir de su construcción es posible sacar conclusiones cuando se está al final del proceso investigativo o bien formular las preguntas de investigación iniciales. Finalmente, se consideran como un aportes de esta tesis la implementación de la multimodalidad discursiva para relevar datos en el contexto en estudio y para presentar indicios, resultados y conclusiones. Esta manera particular de escritura del documento puede constituir una evidencia clara y contundente del valor investigativo que tiene la incorporación de la imagen para narrar significados y construir conceptos. Se elaboraron: un panal y diferentes tableros semióticos que permiten definir y presentar categorías y resultados. La Conclusión integradora a la que se llega luego del proceso de investigación y teorización realizado se expresa la premisa: “Las tecnologías digitales posibilitan un entramado intersubjetivo cognitivo y afectivo global”, la misma se representa visualmente.
Görme Yetersizliği Olan Öğrenciler ile İlgili Tezlerdeki Genel Eğilimler
Authors: Daşdemir İkramettin , Cengiz Ekrem
Published: September 2024

Bu araştırmada görme yetersizliği olan öğrencilerle yapılmış olan lisansüstü tezler incelenerek eğilimlerinin belirlenmesi amaçlanmıştır. Araştırmada doküman incelemesi yöntemi kullanılmıştır. İncelenen tezlere Yükseköğretim Kurulu Tez Merkezinden ulaşılmıştır. İncelenen tezler betimsel içerik analiziyle analiz edilmiştir. Yapılan analizler sonucunda Türkiye’de görme yetersizliği olan bireylerle ilgili yapılan doktora tezlerinin yüksek lisans tez sayısından daha az olduğu, en çok araştırmanın 2019 yılında yapıldığı, tez çalışmalarının en fazla Gazi Üniversitesinde gerçekleştirildiği, en çok araştırmanın görme engelli öğretmenliği ile müzik öğretmenliği anabilim dallarında yapıldığı, araştırmalarda daha fazla oranda nicel araştırma yönteminin kullanıldığı, örneklem gruplarının en çok amaçlı örnekleme yöntemi aracılığıyla seçilmiş olduğu, ortaokul öğrencilerinin örneklem grubu olarak daha fazla seçilmiş olduğu, veri toplama aracı olarak görüşme formunun daha çok kullanıldığı gibi sonuçlar ortaya çıkarılmıştır. Bu eğilim araştırması sonucunda görme yetersizliği olan bireylerle ilgili yapılacak çalışmaların disiplinler arası olarak planlanması ve yapılması gerektiği, özellikle okul öncesi eğitime devam eden öğrencilerle ve öğretim elemanlarıyla da çalışmaların yapılması önerilmiştir.
MODIFIED VGG16 FOR ACCURATE BRAIN TUMOR DETECTION IN MRI IMAGERY
Authors: Rama Krishna Katuri , Arbaaz Mohammad , Dhanekula Surya Naga Chandra , Vallabhaneni Yagna Mithra
Published: September 2024

Brain tumors are one of the most severe medical conditions that require immediate attention and treatment. The early detection of brain tumors is of utmost importance, as it can significantly improve the chances of successful treatment outcomes and increase the patient's quality of life. This study proposes a novel methodology for the early detection of brain tumors in magnetic resonance imaging (MRI) images using a modified VGG16 neural network architecture. The dataset comprises both tumor and non-tumor MRI images collected from Kaggle and has preprocessing techniques applied to optimize the model's performance. The proposed approach delivers an impressive accuracy rate of 99.08%, demonstrating its efficacy in precise brain tumor detection. This new methodology is expected to aid doctors in accurate diagnosis and treatment planning, thereby helping to save more lives and improve the quality of life of patients suffering from brain tumors.
IOT BASED ECG: HYBRID CNN-BILSTM APPROACH FOR MYOCARDIAL INFARCTION CLASSIFICATION
Authors: Makhir Abdelmalek , El Yousfi Alaoui My Hachem , Bellarbi Larbi , Jilbab Abdelilah
Published: September 2024

Cardiovascular disease such as ischemic heart disease and stroke are the most dangerous diseases in the WHO stats. Myocardial Infarction (MI), an ischemic disease of the heart, occurs due to a sudden blockage in the coronary arteries that supply blood to the heart causing a lack of oxygen and nutrients. The MI patient needs continuous monitoring using electrocardiography, the latter is always at risk of developing complications such as arrhythmias. As a solution, we proposed an internet of things (IoT) based ECG system for monitoring, the application layer was reserved for the detection of MI and arrhythmias using artificial intelligence so that the patients can keep being monitored even outside health facilities. For this purpose, this paper proposed a hybrid Convolutional Neural Network (CNN) – Bidirectional Long Short-Term Memory (BiLSTM) approach to classify ECG signals and evaluates its performance by using raw and preprocessed data, and comparing the results to related studies. Two datasets have been used in this classification. The results were promising, the model has scored 99.00% accuracy on raw data classifying 4 classes, and 99.73% accuracy on a larger preprocessed data for 3 classes classification. The proposed model is suitable to serve in our monitoring task.
INTEGRATED HYBRID MODEL FOR LUNG DISEASE DETECTION THROUGH DEEP LEARNING
Authors: Narayana Budati Jaya Lakshmi , Reddy Gopireddy Krishna Teja , Kosaraju Sujana Sri , Choudhary Sirigiri Rajeev
Published: September 2024

The burden of lung diseases on world health is substantial, underscoring the vital necessity of timely detection. The VGG16 architecture with additional convolutional layers is used in this study to provide a hybrid method to lung disease classification. It incorporates the Synthetic Minority Over-sampling Technique (SMOTE) to improve model performance in response to the problem of imbalanced class instances. The subset of the NIH Chest X-ray dataset is used to train and assess the model. The designed model classifies the images into 8 different classes of lung diseases. They are Emphysema, Cardiomegaly, Atelectasis, Edema, Consolidation, Mass, Effusion, Pneumothorax. The proposed model delivered accuracy of 96.42% which demonstrates the efficacy in precise classification of lung diseases. The Graphical User Interface (GUI) is integrated for better interaction between the patient and the model. Through improved diagnostic capabilities, this suggested method not only promotes technological innovation but also shows promise for enhancing patient care and health care outcomes.
INFORMATION SYSTEM FOR DETECTION OF PARAMETERS OF DANGEROUS INDUSTRIAL FACILITIES BASED ON GEOINFORMATION TECHNOLOGIES
Authors: Barabash Oleg , Svynchuk Olha , Bandurka Olena , Ilin Oleh
Published: September 2024

With the development of industry, the issue of environmental safety of countries worldwide has become increasingly acute. Currently, there is a deficiency of information systems capable of effectively and comprehensively informing the public about the state of the environment, analyzing the dynamics of environmental indicators, and assessing regional disparities in terms of environmental safety. The objective of this study is to develop an information system for monitoring the environmental condition of a country's territory based on geoinformation technologies, considering emissions of pollutants. This system is conceived as a multi-regional monitoring system focused on industrial areas. It incorporates a geo-module for user location determination and data representation tailored to the user's location. Additionally, the system regularly updates information on hazardous enterprises and notifies the population in case of emergencies.
MODELS OF FALSE AND CORRECT DETECTION OF INFORMATION LEAKAGE SIGNALS FROM MONITOR SCREENS BY A SPECIALIZED TECHNICAL MEANS OF ENEMY INTELLIGENCE
Authors: Yevgrafov Dmytro , Yaremchuk Yurii
Published: September 2024

The calculation expressions for the probability of false detection of a leakage signal, taking into account the discrete representation of time in the models of detection of side radiation signals from static images on the monitor screen on liquid crystal structures by a specialised technical means of enemy intelligence, which implements an asymptotically optimal joint algorithm for detecting side radiation signals and estimating the duration of the image on the monitor screen, are refined. For this purpose, a large independent array of noise was generated in the Mathcad software environment, and the process of false signal detection by a specialised enemy intelligence vehicle was modelled in several Excel workbooks under conditions of a priori uncertainty about the duration of a static image on the monitor screen.
POLARIZATION-CORRELATION MAPPING OF MICROSCOPIC IMAGES OF BIOLOGICAL TISSUES OF DIFFERENT MORPHOLOGICAL STRUCTURE
Authors: Kozan Nataliia , Saleha Oleksandr , Dubolazov Olexander , Ushenko Yuriy , Soltys Iryna , Ushenko Oleksandr , Olar Oleksandr , Paliy Victor , Smailova Saule
Published: September 2024

The results of polarization-correlation mapping of the fourth parameter of the two-point Stokes vector of microscopic images of histological sections of biological tissues with different architectonics of the optically anisotropic polycrystalline component are presented. The coordinate distributions of randomly generated values representing the modulus of the fourth parameter of the polarization-correlation vector from microscopic images of histological sections of fibrillar tissues (such as skin dermis) and parenchymal tissues (like spleen) have been replicated. The statistical analysis results of algorithmically generated coordinate distributions of random values representing the modulus of the fourth parameter of the polarization-correlation vector from microscopic images of histological sections of biological tissues with varying morphological structures are provided.
Performance analysis of selected database management systems
Authors: Kowalczyk Radosław , Smołka Jakub
Published: September 2024

The article presents the results of performance tests of database management systems. In order to conduct the tests, an application running in Java environment and using an ORM tool such as Hibernate for communication with the database was used. The tests were carried out for test scenarios such as CRUD operations, join queries, aggregate functions, and filter conditions in queries. The DBMSes used for testing were MySQL, PostgreSQL and H2. Performance analysis looked at the execution time of operations, RAM usage and CPU load. Additionally, tests were carried out for different sizes of user groups using the application. PostgreSQL proved to be the best choice for complex operations.
Comparative analysis of CNN models for handwritten digit recognition
Authors: Banaszewska Krystyna , Plechawska-Wójcik Małgorzata
Published: September 2024

The paper discusses the subject of convolutional neural networks used for handwritten digit classification. The purpose of the research is to evaluate the accuracy, performance, training, and classification time of three OCR networks (VGG-16, VGG-19 and AlexNet) and compare them with each other while selecting the most optimal one. The popular MNIST dataset of 70,000 images was used for the study. For each model, a preliminary study was conducted to determine the optimal parameters in the form of the number of input data and number of training epochs. The result of the work indicates that, despite the longer training and classification time, the AlexNet model achieved the highest precision, recall, and F1-score, indicating its ability to effectively classify images.
Comparison of performance of Xamarin and Flutter cross-platform frameworks
Authors: Kowalczyk Piotr , Dzieńkowski Mariusz
Published: September 2024

This article conducts a performance comparative study of two cross-platform development frameworks: Flutter and Xamarin. For this purpose, two test applications running on Android were developed, implementing the same functions, i.e. CRUD operations on the database and sorting an array of objects by the Merge Sort algorithm. Tests were performed on an emulator and on a physical device. The sorted arrays had different sizes, and database operations were performed for different sizes of data sets. The metric used for comparisons was the average implementation time of a given operation. The analysis of the research results showed that Xamarin was definitely more efficient in three CRUD operations, while Flutter performed computational operations, which in this case was sorting, much faster.
A usability analysis of e-commerce systems: Prestashop, Magento and Joomla
Authors: Wijaszka Marcin , Dzieńkowski Mariusz
Published: September 2024

This article focuses on the analysis of available open-source e-commerce systems in terms of their usability in the context of factors such as website consistency, interactivity, interface memorability and the level of aesthetics. The study compares the Prestashop, Magento, and Joomla with the HikaShop module. An experiment was prepared, consisting of three elements: a test scenario, during which the task completion time was measured, an eye-tracking study, providing objective results showing how users look at a given system and a survey aiming to obtain opinions on the analyzed systems. Each e-commerce platform was tested by a different research group of 10 people who had not used these systems before. The results of the study indicate that the Prestashop system offers the most efficient interfaces, presenting content and providing functions that are more easily assimilated and better understood by users compared to the other two tested systems.
Comparative analysis of the Express.js and ElysiaJS frameworks in the context of web application development
Authors: Damian Kostrzewa  , Marek Miłosz
Published: September 2024

JavaScript-based programming frameworks allow more and more web applications to be built, aiming to become the fastest platform for a particular application. The aim of this paper is, among other things, to conduct study to obtain performance results of two server-based programming libraries in the application of an online transaction database structure. The database structure, the TPC-C benchmark queries and the Bombardier HTTP(S) query measurement tool were used to perform the tests. The research thesis "The Express.js framework has better performance than ElysiaJS in terms of TPS measurement tests in TCP-C structure" was set. The results obtained did confirm the thesis.