bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Experiential Learning Implementation in Vocational Education Based on Student Learning Style
Authors: Syam Makmur , Ada Walem , Poerwanto Poerwanto
Published: August 2024

The main problem faced by students in the vocational field is the lack of specificity in the scientific field that focuses on mastering the knowledge, skills, and attitudes needed in the world of work. In addition, the emphasis on learning by doing the role of the student-centred learning approach becomes less attention from educators. This study aims to develop and implement an experiential learning design in the nautical science program through student worksheets based on the Kolb experiential learning stages by considering the Felder- Silverman student learning style and analyzing student attitudes and responses after participating in learning activities. We used the field case study method (case study research) with qualitative descriptive data analysis techniques. The results showed that the learning style preferences of nautical science students from the learning style categories: (1) 87.41% were categorized as active; (2) 84.44% were categorized as visual; (3) 81.48% were categorized as sensing; and (4) 57.04% were categorized as sequential. The results also show that the experiential learning design is feasible for using learning models and learning material assessments. The implementation of experiential learning activities was carried out very well. Learning activities are carried out on force based on the stages of concrete experience, reflective observations, abstract conceptualization, and active experimentation. Students' attitudes and responses are positive towards the experiential learning design. Experiential activities help students learn Basic Mechanical Engineering Design (cognitive), and they like to participate in learning activities (affective). The experiential design is practical in learning, canin learning, career theory and practice learning. H o w e v e r , some students respond that experiential learning activities are less challenging and too much of a task because they prefer to avoid many tasks.
Comparative analysis of machine learning algorithms for demand forecasting under uncertainty
Authors: Arun Kumar Mishra  , Megha Sinha  , Sudhanshu Kumar Jha
Published: August 2024

Doing business in present time is quite a challenging task. With the advent of technology, world is going through a complete transition. We are seeing 4th Industrial Revolution and Industry 5.0 is ready to hit the landscape. In this scenario managing Supply Chain (SC) for optimum performance is becoming a tedious task. Demand forecasting is playing a crucial role over the years for efficient and effective management and planning for competitive advantage. This paper aims to study the performance of various Machine Learning (ML) namely Linear Regression, Decision Tree Regression, Random Forest Regression, Support Vector Machine Regression, XG Boost Regression algorithms for demand forecasting under uncertainty.
Keywords: Forecasting, Machine Learning, Supply Chain, Retail.
Building a culture of integrity for officials and party members to meet the requirements of anti-corruption and negative practices in Vietnam today
Authors: Le Van Nam  , Nguyen Van Hung
Published: August 2024

Building and effectively implementing a "culture of integrity" in public administration is of paramount importance. It contributes to creating a healthy living and working environment characterized by values of integrity, honesty, and uprightness. Additionally, it helps develop a team of officials and civil servants with good qualities, capabilities, ethical standards, exemplary spirit, dedication, and loyalty to the Party and the People. They should be ready to sacrifice personal interests for the benefit of the collective and community. In the public administration, a "culture of integrity" plays a crucial role in enhancing the capacity, effectiveness, and governance of the nation. It creates an objective and transparent environment that contributes to building a clean and strong Party and political system. Each honest official contributes to forming an honest team and system, which is the foundation for building a comprehensive, clean, and strong Party and political system. Moreover, strictly adhering to a culture of integrity will push back corruption and negative practices, ensuring discipline and the rule of law, and overcoming the ideological, political, moral, and lifestyle degradation among some officials and party members.
Keywords: Culture of Integrity, Officials, Anti-Corruption
Comparative Phytochemical Analysis and Therapeutic Properties of Essential Oils from Citrus Limon and Cymbopogon Citratus
Authors: Kosgey Sharon Jepchumba , Juma Benard , Okoth John
Published: August 2024

Background: Essential oils of Lemon (Citrus limon) and Lemongrass (Cymbopogon citratus) are commonly used in therapeutic contexts including stress-reduction. There is paucity of detailed phytochemical research on chemical constituents of Citrus limon and Cymbopogon citratus essential oils to delineate their therapeutic potentials including reduction of stress. There is also dearth of comparative studies focusing on their phytochemical composition and their efficacy substantiating stress management. Objective: This study aims to authenticate and compare the chemical composition of essential oils of Citrus limon and Cymbopogon citratus and understand their potential in reduction of stress. Methodology: Leaves of Citrus limon and Cymbopogon citratus were collected, authenticated and hydrodistillation was conducted to produce Essential oils. The essential oils were analyzed qualitatively using Gas Chromatography-Mass Spectrometry (GC-MS). The efficacy in reduction of stress was carried-out utilizing structured questionnaire and observational schedule. Results: GC-MS analysis of essential oils from Citrus limon and Cymbopogon citratus revealed 52 (C.limon) and 82 (C.citratus) compounds, respectively. Essential oils of Citrus limon and Cymbopogon citratus exhibited appreciable composition of monoterpenes and sesquiterpenes with therapeutic potency. Conclusion: The phytochemical composition of essential oils of Citrus limon and Cymbopogon citratus confirmed their therapeutic eminence, especially in reduction of stress. The reported chemical profile of essential oils of Citrus limon and Cymbopogon citratus affirms their efficacy in selective human therapy including aromatherapy. Recommendation: There is dearth of clinical research studies on essential oils of Citrus limon and Cymbopogon citratus substantiating their therapeutic efficacy in reduction of stress. Prevalence of stress and syndromes of anxiety related therapeutic developments are the dire needs of the present generation and therefore, concerted research efforts are worthy to substantiate their value in clinical therapeutics. Future predictive studies on variation in their chemical composition with strict attention on geographical and climatic variations are envisaged.
Perceived Risks of COVID-19 Pandemic among Employees of International Airports in Tanzania: A Study on their Nature and Effect on Job Satisfaction Levels at Julius Nyerere International Airport
Authors: Ndjovu Eligius Cletus , Mutalemwa Darlene K.
Published: August 2024

This study examines whether employees’ perceived safety, health, and security risks affected job satisfaction levels during the COVID-19 pandemic at Tanzanian airports. Maslow’s Hierarchy of Needs Theory was used to analyze and understand the dynamics of perceived risks and job satisfaction. The research adopted a case study approach with Julius Nyerere International Airport (JNIA) as a case study because this airport is Tanzania’s busiest gateway and prominently exposed to international flights. Using a 10% rule of thumb, a target population of 130 employees and 25 employers was set as an adequate sample size from a total population of 1300 JNIA employees and all employers. The study utilized a non-probability sampling approach whereby a convenience sample was created in which the attending respondent identified the next respondent in a snowball sampling technique, although initial respondents were deliberately picked by the researcher. Questionnaires for employees and employers were developed and administered during the surveys and interviews, supplemented by a few focus group discussions. As interviews and discussions were being held, written documents and records were simultaneously collected. In the study, both quantitative and qualitative data were gathered and analyzed using basic statistical and narrative approaches, respectively. Research findings indicate that employees were affected by perceived risks and fears of highly contagious disease, which created anxiety among them, disrupted their social interactions, and generally decreased their work performance without significantly affecting their levels of job satisfaction. The main recommendation demands increased efforts by employers to mitigate perceived risks of pandemics on job satisfaction by introducing health programs, timely containment of pandemics, treating affected employees, improving employment salaries, benefits, and financial incentives, enhancing the security and safety of the work environment, and improving employees’ social cohesion. Study limitations included delayed research permissions, difficulties accessing busy and suspicious employees and employers, a lack of finances, and inadequate research time, which fortunately did not affect the quality of the work. The main delimitation of the study was the “security-sensitive” nature of the airport itself. This study has research and practical significance, with far-reaching implications for pandemic or public health and disaster management policies and labor and employment-related policies, and it is quite a resourceful tool among researchers and academicians in human resources management.
GESTÃO DE DOENÇAS CRÔNICAS EM CONSULTAS CLÍNICAS: ESTRATÉGIAS PARA MELHORIA DA ADESÃO AO TRATAMENTO
Authors: Sobrinho Maenis Lopes , Pereira Júnior Sebastião Mariano Costa , Silva Simey Amâncio da , Rocha Caio Deusdedit Falcão , Lima Letícia Rafael Leite de , Alves Filipe Santana , Pereira Milena de Fátima Luz , Castro Brenda Evi de Sousa , Alves Lara de Sá
Published: August 2024

Este estudo realizou uma revisão integrativa para identificar e analisar as principais estratégias utilizadas para melhorar a adesão ao tratamento em pacientes com doenças crônicas durante consultas clínicas. Foram revisadas intervenções tecnológicas, educacionais, comportamentais e multidisciplinares, destacando a importância de uma abordagem multifacetada e centrada no paciente. As intervenções tecnológicas, como aplicativos móveis e telemedicina, mostraram-se promissoras, mas sua eficácia depende da acessibilidade e da literacia digital dos pacientes. Programas de educação em saúde, quando personalizados, demonstraram eficácia significativa na capacitação dos pacientes e na melhoria da adesão. As intervenções comportamentais, incluindo a terapia cognitivo-comportamental, ajudaram a superar barreiras emocionais e psicológicas, enquanto a abordagem multidisciplinar provou ser essencial para um cuidado coordenado e holístico. A qualidade da comunicação entre médico e paciente emergiu como um fator central na promoção da adesão ao tratamento. Conclui-se que a combinação dessas estratégias, ajustadas às necessidades individuais dos pacientes, é fundamental para otimizar os resultados clínicos e a qualidade de vida.
Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models
Authors: Laluet Pierre , Olivera-Guerra Luis , Altés Víctor , Rivalland Vincent , Jeantet Alexis , Tournebize Julien , Cenobio-Cruz Omar , Barella-Ortiz Anaïs , Quintana-Seguí Pere , Villar Josep Maria , Merlin Olivier
Published: August 2024

Abstract. In semi-arid irrigated environments, agricultural drainage is at the heart of three agro-environmental issues: it is an indicator of water productivity, it is the main control to prevent soil salinization and waterlogging problems, and it is related to the health of downstream ecosystems. Crop water balance models combined with subsurface models can estimate drainage quantities and dynamics at various spatial scales. However, such models' precision (capacity of a model to fit the observed drainage using site-specific calibration) and accuracy (capacity of a model to approximate observed drainage using default input parameters) have not yet been assessed in irrigated areas. To fill the gap, this study evaluates four parsimonious drainage models based on the combination of two surface models (RU and SAMIR) and two subsurface models (Reservoir and SIDRA) with varying complexity levels: RU-Reservoir, RU-SIDRA, SAMIR-Reservoir, and SAMIR-SIDRA. All models were applied over two sub-basins of the Algerri–Balaguer irrigation district, northeastern Spain, equipped with surface and subsurface drains driving the drained water to general outlets where the discharge is continuously monitored. Results show that RU-Reservoir is the most precise (average KGE (Q0.5) of 0.87), followed by SAMIR-Reservoir (average KGE (Q0.5) of 0.79). However, SAMIR-Reservoir is the most accurate model for providing rough drainage estimates using the default input parameters provided in the literature.
Building Bridges Between Policy and Praxis: A Comparative Environmental and Policy Scan of Inclusive Education in Ethiopia and Canada
Authors: Devall-Martin Lisa , McHolm Sharlene
Published: August 2024

This article provides a pioneering glimpse into the environmental and policy realities of inclusive education in Ethiopia’s and Canada’s educational systems. As co-signatories to multiple international commitments toward inclusive education development and implementation, including the Salamanca Statement (United Nations Educational, Scientific and Cultural Organization & Spain Ministry of Education and Science, 1994), Canada and Ethiopia have demonstrated strong policy pathways that support these international goals; however, several obstacles have hindered compliance and results. These obstacles include, but are not limited to, gender bias, lack of resources, climate challenges and disasters, COVID-19, political volatility, and policy breakdown. These obstacles ignited our central motivation to complete a comparative policy and environmental scan of inclusive education in Ethiopia with Canada’s inclusive education landscape as a backdrop. By gathering and examining political and environmental facts from over the past century for each country, including decades of policy documents and correlating statistical information, we, who have been actively engaged in Ethiopian educational development for over a decade with an international non-governmental organization, propose a new responsive theoretical framework as a guidance system for integrated-inclusive education using collectivism and individualism to bridge the gap between policy and praxis.
Carbon Neutral Evaluation in the Operation of the Intelligent Exhibition Platform
Authors: Fei Yuanyuan
Published: August 2024

The intelligent exhibition platform is an important trend of the green economy, and the carbon emissions in economic development can be reduced through the construction of the platform, such as vehicles, energy, transportation, etc., so the intelligent exhibition platform has the advantage of carbon neutrality. At present, the carbon neutrality evaluation of the operation of the intelligent exhibition platform should focus on the theoretical aspect, and there is a lack of research on the economic effect, carbon neutrality advantages, and environmental protection responsibilities of the exhibition platform, and there are few relevant practical cases. The results show that the reduction rate of carbon emissions has reached 20~30%, the improvement rate of economic effect is 5~8%, and the performance rate of environmental responsibility has reached more than 80%, and the intelligent exhibition platform can collect carbon neutrality data to provide feasible solutions for local economic development and strategy formulation. Therefore, the operation of the intelligent exhibition platform is conducive to the development of the green exhibition platform, and the evaluation results of carbon neutrality are more effective.
A Importância da Didática do Ensino Superior no Estímulo ao Autoconhecimento
Authors: Rocha Antônio Carlos da
Published: August 2024

O artigo fala na importância do debate em torno do tema autoconhecimento como alternativa à sobrevivência psicológica de profissionais do futuro neste século das inovações tecnológicas e da Inteligência artificial. Mostraremos a viabilidade da aposta na Didática de Ensino na Educação Superior para auxiliar estudantes de graduação adotarem autoconhecimento. Considerando que sobreviverão no mercado de trabalho competitivo quem gerir as próprias emoções, falaremos na urgência do investimento nesta premissa. Trabalhar a gestão das emoções é essencial e ao mesmo tempo uma alternativa a preservar os profissionais do futuro, garantindo-lhes, melhor atuação no mundo competitivo das pressões impostas pelo meio digital que desafia o psicológico humano de forma avassaladora. Olhando por este viés, enxergamos a eficácia do desafio e a justificativa da proposta. O objetivo é provocar o sistema de Ensino Superior sobre a capacidade de investir na Didática de Ensino com recursos que oportunizem uma nova mentalidade permitindo um pensamento com técnicas e estímulos ao autocontrole. Assim sendo, o estudo bibliográfico perpassa por sugestivas teorias para ajudar o leitor entender a finalidade da proposta. Que a Didática de ensino sirva de fomento à nova perspectiva, seja protagonista e não fique no anonimato
A Escrita de Si
Authors: Siqueira Euzemar Fátima Lopes
Published: August 2024

Escrevivência é um termo que foi criado pela escritora Conceição Evaristo para descrever a experiência de vida e escrita da sua resistência e resiliência diante das adversidades, para trabalho foi usado esse termo com vistas a mostrar a escrita de si. Diante desse aspecto, o objetivo deste artigo foi demonstrar a importância de integrar a literatura, a arte e sua relação com a geografia contemporânea, a partir da vivência da autora e sua aplicabilidade no ensino escolar de geografia. Portanto, a metodologia usada foi a autobiografia, desenvolvido a partir da vivência com a poesia e no intuito de compreender o gênero poético. Assim foi elaborada a oficina “Literatura pela Geografia: Ateliê de Poesia, na XXII Semana da Geografia-UFMT - A Geografia Contemporânea face aos Desafios Locais e Perspectiva Globais”.  Incluindo o uso de técnicas manuais, como o bordado de poesias e a apresentação de bonecos que representam poetas e poetisas da região metropolitana do vale do Rio Cuiabá e seu entorno, no estado de Mato Grosso. Como resultado, observou-se um maior envolvimento dos participantes com a elaboração de poesias de cunho próprio, bem como um reconhecimento da necessidade de abordar as narrativas geográficas, a arte e a poesia como forma de estimular nos estudantes o hábito de leitura e escrita
The Academic Motivation Scale: Evaluation Evidence of Intrinsic, Extrinsic, and Amotivation in Faculty of Education ‏Students
Authors: Moussa Mahmoud Ali , Amer Abdul Nasser El Sayed
Published: August 2024

The study aimed to develop and validate academic motivation measures among university students. The study adopted the correlational method. An available sample of university students selected from the Faculty of Education, Suez Canal University. The study sample consisted of 453 people. The scales responded online to the students after they accepted the informed consent and wrote their data online in the same submission file. The study investigated the factor structures of the Academic Motivation Scale (three-, four, five-, and seven-factor models). The seven-factor model, the four-factor model, and the five-factor model were the most appropriate. According to the convergent validity, it was positively associated with the motives of autonomy and measures of cognitive styles, However, the lack of motivation subscale was nonsignificant with the Cognitive Styles scale and the Self-motivation subscale. The study indicates the psychological validity of the academic motivation scale for university students.
Penerapan Metode Pembelajaran Problem Based Learning Terhadap Pembelajaran Renang Gaya Bebas Dalam Matakuliah Keterampilan Aquatic 1
Authors: Hasmarita Sony - , Hasmarita Sony
Published: August 2024

Tujuan penelitian ini adalah untuk mengetahui bagaimana  menerapkan metode pembelajaran PBL (Problem Based Learning) pada matakuliah keterampilan aquatic 1 yang dapat meningkatkan  keterampilan renang gaya bebas dan pembentukan nilai tahapan gerak dalam  renang gaya bebas dan apakah metode PBL dapat membentuk pemahaman nilai tahapan belajar gerak setelah dilakukan tindakan. Teknik pengumpulan  data menggunakan performance skill test untuk data kuantitatif peningkatan hasil belajar atau hasil keterampilan gerak dan menggunakan observasi, catatan  lapangan, dokumentasi untuk data kualitatif pembentukan tahapan belajar  gerak. Metode Penelitian ini menggunakan  metode eksperimen. Populasi mahaiswa PJKR STKIP Pasundan Cimahi Angkatan 2022 yang berjumlah 630 mahasiswa. Teknik pengambilan sampel menggunakan metode Cluster Random Sampling, sampel dalam penelitian ini sebanyak 82 mahasiswa. Hasil penelitian menunjukkan mendapat skor 81-100 setelah tes akhir mengalami kenaikan dari 10 mahasiswa (12%) menjadi 20 mahasiswa (24%), skor 61-80 mengalami kenaikan yaitu 25 mahasiswa  (30%) menjadi 28 mahasiswa (34%), skor 41-60 jumlahnya tetap, skor 21-40 mengalami  penurunan dari 18 mahasiswa (22%) menjadi 12 mahasiswa (15%), skor 0-20  mengalami  penurunan dari 9 mahasiswa (11%) menjadi 2 mahasiswa (2 %), melalui penerapan  metode PBL dapat meningkatkan hasil keterampilan gerak dan dapat membentuk tahapan belajar gerak.
PENGARUH BUDAYA ORGANISAI TERHADAP KINERJA KARYAWAN PADA CV. ANUGERAH
Authors: Muqtafin Muqtafin
Published: August 2024

Penelitian ini bertujuan untuk mengeksplorasi pengaruh budaya organisasi terhadap kinerja karyawan, khususnya pada sampel 30 karyawan dari populasi CV. Anugerah. Analisis data dilakukan melalui uji validitas dan reliabilitas, serta menggunakan koefisien determinasi dan uji-t. Hasil penelitian menunjukkan bahwa budaya organisasi memiliki pengaruh yang signifikan dan positif terhadap kinerja karyawan. Temuan ini menegaskan pentingnya budaya organisasi yang baik dan positif dalam menciptakan lingkungan kerja yang mendukung, yang pada gilirannya dapat meningkatkan kinerja dan kontribusi karyawan.
PENGARUH DISIPLIN KERJA TERHADAP KINERJA KARYAWAN CV. ABADI
Authors: Marsudi Marsudi
Published: August 2024

Penelitian ini bertujuan untuk mengetahui apakah disiplin kerja berpengaruh terhadap kinerja karyawan. Metode penelitian yang digunakan yaitu peenelitian kuantitatif. Teknik analisa data yang digunakan adalah kuantitatif dengan menggunakan SPSS. Berikutnya, dilakukan tahap analisa data dengan pengujian instrument penelitian, analisis asumsi klasik, analisis regresi linear sederhana, pengujian hipotesis, koefisien determinasi dan uji t. Bentuk penelitian ini adalah dengan menggunakan tipe kuantitatif. Sampel yang digunakan yaitu seluruh jumlah populasi dengan jumlah 40 karyawan. Teknik pengambilan sampel yang digunakan non probability sampling dengan sampel jenuh (sensus). Hasil dalam penelitian ini menunjukkan bahwa disiplin kerja motivasi kerja berpengaruh secara simultan terhadap variabel kinerja karyawan. Berdasarkan hasil uji determinasi didapatkan hasil koefisien determinasi sebesar 0,690. Nilai tersebut menunjukkan R Square sebesar 69% artinya variabel bebas yaitu disiplin kerja dan motivasi kerja berpengaruh sebesar 69% terhadap variabel terikat yaitu kinerja karyawan. Sedangkan sisanya 31% dipengaruhi oleh variabel lain yang tidak termasuk dalam penelitian ini.
PENGARUH DISIPLIN KERJA TERHADAP KINERJA KARYAWAN PADA CV. KURNIA
Authors: Basyid Abdul
Published: August 2024

Penelitian kuantitatif ini bertujuan untuk mengevaluasi pengaruh disiplin kerja terhadap kinerja karyawan. Dengan menggunakan SPSS 24 untuk analisis data, penelitian ini menggunakan berbagai teknik analisis termasuk pengujian instrumen penelitian, analisis asumsi klasik, analisis regresi linear sederhana, pengujian hipotesis, koefisien determinasi, dan uji t. Penelitian ini menggunakan pendekatan kuantitatif, dengan fokus pada hubungan antara disiplin kerja dan kinerja karyawan. Sampel terdiri dari seluruh jumlah populasi sebanyak 40 karyawan, menggunakan teknik pengambilan sampel non probability dengan pendekatan sensus. Hasil penelitian menunjukkan bahwa baik disiplin kerja tidak terdapat pengaruh dan tidak siginifikan terhadap kinerja karyawan. Koefisien determinasi (R Square) sebesar 0,690 menunjukkan bahwa disiplin kerja menjelaskan 69% variasi dalam kinerja karyawan, sedangkan 31% sisanya dipengaruhi oleh variabel lain yang tidak dimasukkan dalam penelitian ini. Penelitian ini memberikan pemahaman yang lebih dalam tentang hubungan antara disiplin kerja dan kinerja karyawan, serta memberikan implikasi bagi manajemen dalam meningkatkan kinerja karyawan di dalam organisasi tersebut.
Reflections on the Present and Future of the Uzbek Language
Authors:   Professor of Andijan state university named after  Zahiriddin Muhammad Babur, Sobirov Abdulhay
Published: August 2024

The article considers the role of the Uzbek language in the system of world languages. The changes taking place in the terminological systems of various fields, the terms included in the sciences of physics, chemistry, history and philology, the patterns of their acquisition, achievements and shortcomings in this regardwere discussed, as well as com- mentswere given on the newly acquired terms. Based on them, opinions about the present and future of the Uzbek languageare presented.
Big Data Analytics for Smart Cities: Analysing Large Datasets to Optimize Urban Infrastructure and Services
Authors: Shanmukha Eetis
Published: August 2024

In the modern era of urbanization, the concept of smart cities has emerged as a transformative approach to enhance urban living through the integration of technology and data-driven strategies. Big Data Analytics plays a pivotal role in this transformation, providing the capability to analyze vast and complex datasets generated by various urban activities and infrastructures. This paper delves into the application of Big Data Analytics in optimizing urban infrastructure and services, focusing on transportation, energy management, waste disposal, and public safety. By leveraging real-time data and advanced analytics, cities can achieve more efficient traffic management, reduce energy consumption, streamline waste collection, and enhance emergency response systems. The study further explores the challenges associated with data privacy, security, and the integration of heterogeneous data sources. Through case studies of leading smart cities, the paper demonstrates the tangible benefits of Big Data Analytics in creating more sustainable, resilient, and livable urban environments. The findings suggest that the effective deployment of Big Data Analytics is crucial for the future development of smart cities, offering significant opportunities for improving the quality of life for urban dwellers.
Predict the Composition of Flue Gases Using Supervised Machine Learning Algorithm
Authors: Manish Kumar
Published: August 2024

The prediction of Flue gases' composition is of significant importance in various industrial processes, environmental monitoring, and public health concerns. Traditional methods for analyzing Flue gas composition are time-consuming, costly, and often require specialized equipment. In contrast, supervised machine learning algorithms offer a promising approach to accurately predict Flue gas composition based on input data from various sources. This study explores the application of supervised machine learning algorithms to predict Flue gas composition, aiming to provide a more efficient and cost-effective solution. The research involves data collection from diverse sources, feature engineering, and model selection, followed by a rigorous evaluation of the predictive performance. The results demonstrate the potential of the proposed approach in accurately estimating Flue gas composition, paving the way for improved Flue gas monitoring and regulation.
DOI: https://doi.org/10.52783/pst.755
Artificial Intelligence in Media and Journalism. Systematic Review on Spain and Latin America in Scopus and Web of Science Databases (2018–2022)
Authors: Trejos-Gil Carlos Andrés , Gómez-Monsalve Wilmar Daniel
Published: August 2024

Artificial, automated, and algorithmic journalism is a current trend that brings about skills and challenges that newsrooms must face. The automation of journalistic tasks such as the writing of texts and the generation of audiovisuals, podcasts, and other resources to tell stories is mediated by artificial intelligence. Therefore, thinking about journalistic work prospectively offers an alternative to focus on the dynamics that will be a trend in the future. This research aims to conduct a systematic review in the Scopus and Web of Science (N = 627) databases on the scientific production of Spain and Latin America, where artificial intelligence, social communication, and journalism converge. Data mining and web scrapping were used, and the PRISMA declaration methodology was implemented to define inclusion and exclusion criteria for academic production (n = 43), integrating bibliometric analysis techniques in collaboration networks and strengths of links between authors, journals, and countries. Finally, we provide information on search trends, the authors who most developed the topic in question and other metrics of interest. In both databases, Spain has the best performance in scientific collaboration networks.
Prognostic value and predictive model of tumor markers in stage I to III gastric cancer patients
Authors: Sun Ai-Hua , Zhang Xin-Yu , Huang Yang-Yang , Chen Lei , Wang Qing , Jiang Xiao-Cong
Published: August 2024

BACKGROUND

Preoperative serum tumor markers have been widely used in the diagnosis and treatment of gastric cancer patients. However, few studies have evaluated the prognosis of gastric cancer patients by establishing statistical models with multiple serum tumor indicators.

AIM

To explore the prognostic value and predictive model of tumor markers in stage I and III gastric cancer patients.

METHODS

From October 2018 to April 2020, a total of 1236 patients with stage I to III gastric cancer after surgery were included in our study. The relationship between serum tumor markers and clinical and pathological data were analyzed. We established a statistical model to predict the prognosis of gastric cancer based on the results of COX regression analysis. Overall survival (OS) was also compared across different stages of gastric cancer.

RESULTS

The deadline for follow-up was May 31, 2023. A total of 1236 patients were included in our study. Univariate analysis found that age, clinical stage, T and N stage, tumor location, differentiation, Borrmann type, size, and four serum tumor markers were prognostic factors of OS (P < 0.05). It was shown that clinical stage, tumor size, alpha foetoprotein, carcinoembryonic antigen, CA125 and CA19-9 (P < 0.05) were independent prognostic factors for OS. According to the scoring results obtained from the statistical model, we found that patients with high scores had poorer survival time (P < 0.05). Furthermore, in stage I patients, the 3-year OS for scores 0-3 ranged from 96.85%, 95%, 85%, and 80%. In stage II patients, the 3-year OS for scores 0-4 were 88.6%, 76.5%, 90.5%, 65.5% and 60%. For stage III patients, 3-year OS for scores 0-6 were 70.9%, 68.3%, 64.1%, 50.9%, 38.4%, 18.5% and 5.2%. We also analyzed the mean survival of patients with different scores. For stage I patients, the mean OS was 55.980 months. In stage II, the mean OS was 51.550 months. The mean OS for stage III was 39.422 months.

CONCLUSION

Our statistical model can effectively predict the prognosis of gastric cancer patients.
Effect and safety of ripretinib in the treatment of advanced gastrointestinal stromal tumor: A systematic review and meta-analysis
Authors: Li Ji , Zhang Hao , Chen Xiao-Dong
Published: August 2024

BACKGROUND

Imatinib (IMA) has received approval as the primary treatment for gastrointestinal stromal tumors (GIST). Nonetheless, approximately half of the patients with advanced GIST show disease advancement following IMA treatment. Presently, the efficacy of secondary and tertiary medications in addressing various GIST secondary mutations is somewhat restricted. Consequently, there is a significant medical demand for the creation of kinase inhibitors that extensively block secondary drug-resistant mutations in advanced GIST. Ripretinib (RPT) is a new, switch-control tyrosine kinase inhibitors that can suppress different mutations of KIT and PDGFRA via a dual mechanism of action.

AIM

To investigate the literature on RPT to assess an effective, safe, and successful treatment strategy against advanced GIST.

METHODS

The present systematic review and meta-analysis was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. PubMed, Embase, Cochrane, Web of Science and ClinicalTrials.gov databases were screened from January 1, 2003 to May 1, 2024.

RESULTS

A total of 4 studies were included, with a total of 507 patients enrolled. The objective response rate (ORR) of the RPT-treated advanced GIST was 17% (95%CI: 0.11-0.27), while the disease control rate (DCR) was 66% (95%CI: 0.59-0.73). The overall occurrence of adverse events with varying degrees was 97% (95%CI: 0.93-1), whereas that of grade ≥ 3 adverse reactions was 42% (95%CI: 0.28-0.63). The sensitivity analysis revealed that omitting some studies did not yield statistically notable variances in the aggregate data regarding the ORR, DCR, and the occurrence of adverse events of grade 3 or higher. The publication bias was absent because no significant asymmetry was observed in Begg’s funnel plot in all studies.

CONCLUSION

RPT has favorable efficacy profiles in GIST patients, but the adverse reactions are obvious, and patient management needs to be strengthened to achieve better safety and tolerability.
Individualized vaginal applicator for stage IIb primary vaginal adenocarcinoma: A case report
Authors: Saijilafu  , Gu Yan-Jun , Huang Ai-Wu , Xu Chang-Fen , Qian Li-Wen
Published: August 2024

BACKGROUND

Primary vaginal cancer is rare and most vaginal tumors are metastatic, often arising from adjacent gynecologic structures. Primary vaginal cancers are also more common among postmenopausal women and most of these are squamous cell carcinomas, with adenocarcinomas being relatively rare. Vaginal bleeding is the most common clinical manifestation of vaginal adenocarcinoma. About 70% of vaginal adenocarcinomas are stage I lesions at the time of diagnosis, for which radical surgery is recommended. However, more advanced vaginal cancers are not amenable to radical surgical treatment and have poor clinical outcomes. Optimal treatments modes are still being explored. Here, we report a rare case of stage IIb primary vaginal adenocarcinoma for which an individually designed vaginal applicator for after-loading radiotherapy was used to achieve good tumor control.

CASE SUMMARY

A 62-year-old woman presented to our clinic after 3 months of abnormal postmenopausal vaginal bleeding. Gynecological examination, computed tomography (CT), and positron emission tomography-CT showed a large mass (about 5 cm) on the anterior vaginal wall. Colposcopy biopsy confirmed adenocarcinoma of vaginal origin. After three cycles of carboplatin plus paclitaxel chemotherapy, the lesion partially shrunk. The patient then received external irradiation of 45 gray (gy) in 25 fractions, which further reduced the vaginal lesion, followed by after-loading radiotherapy of 30 gy in 5 fractions with an individually designed vaginal applicator. Three months later, magnetic resonance imaging showed a slight thickening of the anterior vaginal wall.

CONCLUSION

Primary vaginal adenocarcinoma is rare, and prognosis is poor in most vaginal cancers of locally advanced stages, which cannot be treated with radical surgery. Better tumor control can be achieved with an individualized vaginal applicator that allows administration of a higher radical dose to the tumor area while protecting normal tissues.
Current challenges in the treatment of gliomas: The molecular era
Authors: Fernández Castalia , Zafra-Martín Juan , Couñago Felipe
Published: August 2024

Gliomas originate from glial cells in the central nervous system. Approximately 80%-85% of malignant brain tumors in adults are gliomas. The most common central nervous system tumor in children is low-grade pediatric glioma. Diagnosis was determined by histological features until 2016 when the World Health Organization classification integrated molecular data with anatomopathological information to achieve a more integral diagnosis. Molecular characterization has led to better diagnostic and prognostic staging, which in turn has increased the precision of treatment. Current efforts are focused on more effective therapies to prolong survival and improve the quality of life of adult and pediatric patients with glioma. However, improvements in survival have been modest. Currently, clinical guidelines, as well as the article by Mohamed et al accompanying this editorial piece, are adapting treatment recommendations (surgery, chemotherapy, and radiotherapy) according to diagnosis and prognosis guided by molecular biomarkers. Furthermore, this paves the way for the design of clinical trials with new therapies, which is especially important in pediatric gliomas.
Mengukur kinerja keuangan perbankan syariah pada masa pandemi pasca turun SK/Edaran POJK No.18/POJK.03/2020
Authors: Dewi Nurmalisa Ismaya , Rofiuddin Mohammad
Published: August 2024

This research aims to determine the influence of mudharabah financing variables, productive asset quality and bank operational efficiency on financial performance (ROA), as well as the influence of financing risk as a moderating variable. This type of research is quantitative research with a population at seven Islamic commercial banks registered with the Financial Services Authority (OJK), namely Bank BCA Syariah, Bank Syariah Bukopin, Bank Bank Muamalat Indonesia, Bank Panin Dubai Syariah, Bank Victoria Syariah, Bank Mega Syariah and Bank Jabar Banten Syariah in the pandemic era of 2020 and 2021 using quarterly data starting from the second quarter of 2020 to the third quarter of 2021. The method used in this research is Moderated Regression Analysis (MRA). This analysis shows that the mudharabah financing variable hurts return on assets. The quality of productive assets has a positive effect on return on assets. The operational efficiency ratio hurts return on assets. Non-performing finance can moderate mudharabah financing, productive asset quality, and the operational efficiency ratio of return on assets.
Pengaruh likuiditas, profitabilitas, dan manajemen laba terhadap nilai perusahaan: Peran moderasi kepemilikan manajerial pada perusahaan sektor infrastruktur
Authors: Saputri Eko Dewi , Pratiwi Desy Nur , Rukmini Rukmini
Published: August 2024

The main objective of these findings is to assess how Liquidity, Profitability Ratios and Profit Management influence the value of infrastructure sector companies listed on the Indonesia Stock Exchange from 2018 to 2022. Also, the role of managerial ownership as a moderating factor in this relationship should be examined. This research focuses on a sample of 10 infrastructure group companies selected using purposive sampling, resulting in a sample size of 50. Data collection resulted in extracting information from financial reports available on the official website of the Indonesia Stock Exchange. The analysis uses multiple linear regression. The research results found that liquidity hurts company value. Apart from that, profitability has a substantial positive effect on company value. However, earnings management does not have a significant impact on company value. Other results show that managerial ownership cannot moderate the relationship between liquidity and company value, profitability and company value, as well as profit management and company value.
Pengaruh pembiayaan syariah terhadap profitabilitas bank dengan BOPO sebagai pemoderasi
Authors: Trisila Juwanto , Nabila Rifda
Published: August 2024

This research aims to determine the effect of mudharabah financing, musyarakah financing, and murabahah financing on profitability with BOPO as a moderating variable in Sharia commercial banks in 2016-2020. This type of research is quantitative research using secondary data in the form of panel data. The population in this study was 14 Sharia Commercial Banks, and 12 banks were selected as samples using the purposive sampling method. The data analysis method uses a moderated regression analysis approach. This research shows that mudharabah financing has a positive and significant effect on ROA, musyarakah financing, and murabahah financing has no effect on ROA. BOPO is able to moderate mudharabah financing against ROA, BOPO cannot moderate musyarakah financing and murabahah financing.
Analisis pemetaan media tentang transaksi pembiayaan akad sharf di Indonesia dengan NVivo: Studi literatur review
Authors: Rohmadi  , Doni Yusuf Bagaskara
Published: August 2024

This research aims to determine the media mapping analysis of Sharf Contract Financing Transactions in Indonesia using the NVivo tool. This research uses qualitative methodology with the help of NVivo and a literature review. "Data analysis techniques include: (1) mapping the number of news article codes based on qualitative analysis such as meaning, mechanisms, and laws, around "Sharf" using NVivo 14 software; (2) mapping the visualization results with a hierarchical diagram and test the correlation between media articles using qualitative analysis; (3) mapping research topics with Worldcloud or a collection of words that are often discussed in media articles; and (4) Testing the significance value between media articles to determine the size of the correlation around the topic "Sharf." This research shows that the topics often discussed in media articles about Sharf are understanding and law. Meanwhile, topics that are rarely discussed by media articles about Sharf are mechanisms and law. The implications of this research show that analysis using NVivo and Literature Review tools can be a recommendation for increasing public literacy regarding rahn financing through media articles.
Determinan konvergensi daerah di Sulawesi Selatan: Apakah variabel sosial-ekonomi berpengaruh?
Authors: Rusydi Bahrul Ulum
Published: August 2024

This study analyzes the convergence phenomenon between districts/cities in South Sulawesi. In addition, this study will analyze the influence of socio-economic variables on the value of GRDP per capita, which is an indicator of regional convergence. This research is included in the type of quantitative research using secondary data, the data structure of which is panel data. The panel data consists of 10 years of observation, namely 2014 to 2023, for 24 districts/cities in South Sulawesi. Panel regression model testing using the Fixed Effect Model. The convergence phenomenon is seen using two approaches, namely sigma convergence and beta convergence, consisting of absolute and conditional convergence. The results found that the sigma convergence approach concluded a convergence between South Sulawesi regions. The analysis results with the absolute convergence method concluded that convergence occurred, and conditional convergence also found the same results. Regarding the influence of socio-economic variables, it was found that only economic variables had a significant and positive effect on GRDP per capita. This finding implies that the convergence between regions in South Sulawesi indicates that the economic development process is on the right track. In addition, it is also a direct indication of an increase in the quality of life that leads to a decrease in inter-regional inequality in South Sulawesi.
Decoding purchase decisions: The interplay of brand image, courtesy, and religiosity
Authors: Kurniawan Heri
Published: August 2024

This study investigated the impact of Brand Image, Courtesy, and Religiosity on Purchase Decisions among Gen Z consumers in Central Java Province. A quantitative research approach was employed, utilizing Structural Equation Modeling (SEM) to analyze data collected from 400 respondents. The findings indicated that both Brand Image and Courtesy had significant positive effects on Purchase Decisions. Additionally, Religiosity was found to mediate these relationships significantly, highlighting its crucial role in shaping consumer behavior. These results suggest that integrating cultural and religious values into marketing strategies can enhance customer engagement and loyalty. The study provides new insights into the interplay between brand perception, interpersonal interactions, and personal values in influencing consumer decisions. This research underscores the importance of culturally and religiously sensitive marketing practices for effectively engaging and retaining customers. The implications of these findings are significant for both marketers and academics, providing a foundation for future research in consumer behavior and marketing strategy.
Digital transformation of MSMEs in Indonesia: A systematic literature review
Authors: Purnomo Singgih , Nurmalitasari Nurmalitasari , Nurchim Nurchim
Published: August 2024

The digital transformation of Micro, Small, and Medium Enterprises (MSMEs) is a crucial driver of economic growth and innovation in Indonesia. This research explores the state of digital transformation among Indonesian MSMEs, focusing on development, digital adoption, and implementation challenges. The method used in this research is a Systematic Literature Review (SLR) with stages: planning, implementation, and reporting. The SLR done in this study utilized a collection of publications published between January 2020 and May 2024. The results of this study show that digital transformation in MSMEs in Indonesia provides significant benefits, such as increased market reach, operational efficiency, and profitability. However, this process faces limited resources, inadequate technical skills, and data security issues. Government support and cooperation with technology providers are essential to overcome these barriers so that MSMEs can optimally utilize digital technology to achieve sustainable growth and higher competitiveness.
Mapping out model bisnis sharing economy pada unicorn asal Indonesia
Authors: Hanifah Hanifah , Hayati Cucu , Sadiqin Amin
Published: August 2024

This research dissects the business models built by 3 (three) companies ranked in the TOP 20 unicorns from Indonesia based on research conducted by CB Insight, namely Gojek, Tokopedia, and Traveloka. Researchers employed exploratory methods, comparative analysis techniques and utilized the Business Model Canvas and Stakeholder Relationship Model as instruments in data collection. Data were obtained from secondary sources, including online interviews and literature reviews. This research reveals that companies offering digital goods and services implement the concept of sharing assets to achieve zero marginal cost. The research findings also uncover that an increasing number of Gojek passengers, Traveloka guests, and Tokopedia customers lead to an increase in the number of business groups (positive network effect). Moreover, an increase in Gojek drivers, Traveloka hosts, and Tokopedia sellers results in higher competition within those groups (negative network effect).