bluuebunny/crossref_metadata_2025_split huggingface dataset:
PERAN KEPUASAN PELANGGAN MEMEDIASI PENGARUH PENGALAMAN BERWISATA DAN CITRA DESTINASI TERHADAP NIAT BERKUNJUNG KEMBALI (Studi pada Desa Wisata Kertalangu)
Authors: Kyana Ni Luh Gede Sari Marta , Suandari Ni Putu Khrisnia , Hermarani Putu Arina , Ekawati Ni Wayan , Giantari IGAK 
Published: April 2024

Eksistensi Desa Wisata Kertalangu sebagai daya tarik wisata semakin terlihat ketika desa wisata tersebut mendapatkan penghargaan Promosi Desa Wisata Nusantara pada tahun 2022. Namun terlihat masih minimnya perawatan dan pemeliharaan menyebabkan kerusakan terhadap fasilitas pendukung wisata. Hasil dari pra-survey yaitu sebagian besar responden berniat untuk berkunjung kembali ke Desa Wisata Kertalangu dengan faktor yang mempengaruhi yaitu perasaan aman dan keunikan dari desa wisata, serta 83,33 persen responden menyatakan bahwa mendapatkan apa yang diinginkan ketika berkunjung ke Desa Wisata Kertalangu. Analisis data pada penelitian ini yaitu aplikasi SEM yang disertai uji VAF pada 91 responden. Keseluruhan model variabel dalam pengujian hipotesis secara langsung ini memperoleh nilai Path Coefficient yang positif. Dalam pengujian hipotesis secara tidak langsung, kepuasan wisatawan memiliki peran memediasi secara positif dan signifikan pengaruh citra destinasi terhadap niat berkunjung kembali, begitu pula pada pengaruh pengalaman wisatawan terhadap niat berkunjung kembali.
Penggunaan Technology Acceptance Model (TAM) dalam Menganalisis Respon Mahasiswa terhadap Sistem Informasi Akademik (SIAKADKU) STMIK Tasikmalaya
Authors: Sarmidi Sarmidi , Hidayat Cepi Rahmat , Prasetyo Rico Aldy 
Published: April 2024

SIAKADKU STMIK Tasikmalaya merupakan sistem informasi akademik di STMIK Â Tasikmalaya yang berfungsi untuk mengolah administrasi kemahasiswaan. Adapun tingkat respon atau diterima tidaknya SIAKADKU bagi pengguna (dalam hal ini mahasiswa) merupakan penelitian yang dilakukan dengan menggunakan Technology Acceptance Model (TAM). TAM ini merupakan konstruk yang dapat digunakan untuk mengetahui seberapa besar pengaruh penerimaan sistem informasi akademik. Penelitian ini menggunakan 3 konstruk TAM yang sudah dimodifikasi yaitu, Perceived Usefulness, Perceived Ease of Use, Acceptance of IT. 3 (tiga) konstruk tersebut digunakan sebagai aspek dalam instrumen pengumpulan data mengenai kuesioner. Instrumen kuesioner pada penelitian ini merupakan data primer. Data dari kuesioner akan diolah menggunakan statistik deskriptif terlebih dahulu, setelahnya untuk diketahui pengaruhnya akan digunakan analisis regresi linear berganda. Berdasarkan analisis data diperoleh hasil sebagai berikut: (1) Konstruk Perceived ease of use berpengaruh secara positif terhadap acceptance of IT (penerimaan) SIAKADKU oleh mahasiswa STMIK Tasikmalaya dengan thitung 13,016 artinya SIAKADKU STMIK Â mudah digunakan . (2) Konstruk perceived usefulness berpengaruh secara positif terhadap acceptance of IT (penerimaan) SIAKADKU oleh mahasiswa STMIK Â Tasikmalaya dengan thitung 11,258 artinya SIAKADKU STMIK Tasikmalaya bermanfaat. (3) Konstruk perceived ease of use dan perceived usefulness secara simultan berpengaruh terhadap acceptance of IT (penerimaan) SIAKAD oleh mahasiswa STMIK Â Tasikmalaya dengan thitung 0,699 atau 69,9% artinya SIAKADKU STMIK Tasikmalaya Â mudah digunakan dan bermanfaat
ANALISIS KINERJA SISTEM KOMUNIKASI OPTIK DALAM HUBUNGAN ANTAR BSC KE BTS UNTUK TELEKOMUNIKASI GENERASI KE-5 (5G)
Authors: Adawiah Lulu Robiatul , Sugiarto Bambang , Wiharso Tri Arif 
Published: April 2024

Perkembangan teknologi dibidang telekomunikasi telah berkembang pesat diiringi oleh kebutuhan pengguna yang terus meningkat. Teknologi generasi kelima (5G) merupakan teknologi jaringan nirkabel yang menawarkan akses dengan data rate yang sangat tinggi dan bandwidth yang lebih besar. Untuk mendukung spesifikasi diatas tidak dapat terlepas dari sistem Backbone serat optik. Penelitian ini memiliki tujuan untuk mendapatkan nilai redaman, mempertahankan nilai daya terima, Bit Error Rate dan rise time budget yang dibutuhkan sesuai dengan sistem telekomunikasi 5G. Penelitian ini menggunakan metode power link budget dan rise time budget. Lokasi yang digunakan untuk penelitian ini sebanyak 3 lokasi berdasarkan trafik penggunaan seluler diantaranya HUT Garut – Samarang, HUT Garut – Malangbong dan HUT Garut – HCPT Leles . Berdasarkan hasil hitungan dan simulasi dalam menentukan nilai daya terima dan nilai rise time budget dikatakan layak karena tidak melebihi nilai sensitivas sebesar -24 dBm dan nilai maksimumnya yaitu 4501.03 ps, sedangkan untuk nilai BER pada lokasi kedua yaitu HUT Garut – Malangbong dikatakan kurang bagus karena tidak lebih rendah dari standar optik yang digunakan yaitu sebesar 10-12.
Stock Volatility Prediction Using Machine Learning during Covid-19
Authors: Saba Zahid  , Hassan Mujtaba Nawaz Saleem  
Published: April 2024

Predicting the stock prices’ movement has been considered a tedious task due to the stock market's volatile behavior. This study is an attempt to predict stock prices based on 15 trading factors by applying deep learning algorithm support vector machine (SVM) on daily price data of three stocks of COVID-19, collected from secondary sources and processed through Python software. The finding of this study suggests that the linear kernel gives 53%, the polynomial kernel gives 46% and the radical basis function (RBF) kernel gives 62% validation accuracy, which shows the RBF kernel predictive ability is highest than others during high volatility. The current study contributes to the stock return literature-originated machine learning algorithms during the unprecedented market condition. The finding of this study is helpful for investors and traders who calculate stock return in their portfolio diversified decisions, regulators, and policymakers in the formulation of their regulations & implementation decisions while the market condition is unprecedented. Thus, the support vector machine (SVM) algorithm offers an accurate prediction of stock return to investors who invest during high volatility.
Activator effect on sawdust-based adsorbent efficiency: application to organic pollutants decontamination
Authors: Mekibes Zohra , Boucherdoud Ahmed , Bestani Benaouda , Benderdouche Noureddine 
Published: April 2024

The aim of this study is to valorize available Sawdust as a ligno-cellulosic and locally abundant solid waste generated by different activities, via combined chemical and physical activations route and its application for the removal of hydroxybenzene as a toxic pollutant from aqueous solution in discontinuous mode. Enhancement of adsorption capacities by impregnating separately the powdered sawdust in acidic (phosphoric acid: 20%), basic (potassium hydroxide: 20%) and salty (Ammonium Persulfate: 0.1M) solutions then pyrolysis at 600°C for 1hour in tubular furnace resulting in SWDA, SWDB and SWDS- based adsorbents. The adsorptive rates of the obtained adsorbents were compared to the commercial activated carbon from Merck taken as a reference. The batch adsorption experiments resulted in a maximum adsorption capacities obtained from Langmuir model of up to 192.31, 123.56 and 109.89 and 133.33 mg/g for SWDA, SWDB, SWDS and Merck respectively. Conventional parameters influencing the removal capacity of the considered pollutant such as contact time, adsorbent dosage, pH, initial concentration and temperature were also studied. Samples characterization was carried out using Fourier-transform infrared spectroscopy (FTIR) analyses for functional groups determination, Iodine number test for porosity and scanning electronic microscopy (SEM) for microstructure examination of the samples. Adsorption kinetics was found to comply with the pseudo second order with a good correlation factor (R2 > 0.99) with intra-particle diffusion as the rate determining steps. Thermodynamics of Hydroxybenzene adsorption process was spontaneous (ΔG o <0) and endothermic (ΔHo >0). This study showed that sawdust as a waste could prove to be a very efficient adsorbent in removing toxic substances from wastewater.
Modelo transteórico para prática de atividade física em ado-lescentes: evidências científicas baseadas em revisão sis-temática da literatura
Authors: Medeiros Daniel de Sousa , Souza Leonardo Rodrigues , Vale Andressa Queiroz Monteiro do , Rossi-Barbosa Luiza Augusta Rosa , Silva Rosângela Ramos Veloso 
Published: April 2024

O comportamento para a prática de atividade física entre adolescentes tem despertado grande interesse quanto à investigação dos hábitos saudáveis para a promoção da saúde. O objetivo do presente artigo foi identificar as evidências científicas sobre a prevalência nos estágios de mudança de comportamento do modelo transteórico para atividade física em adolescentes. Trata-se de revisão sistemática da literatura científica, realizada nas bases de dados Lilacs, Medline e Bireme com o algoritmo (Exercise) OR (Activity, Physical) OR (Motor Activity) AND (Teenager) OR (Adolescent) AND (Transtheoretical Model) OR (Stages of Change) OR (Stages of Readiness) OR (Process of Change) OR (Behavior Change). O processo de seleção esteve de acordo com o protocolo Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Dos 1.150 artigos, quatro compuseram a amostra final, sendo três estudos longitudinais, dois deles com grupo controle. Efetuou-se um checklist para avaliar a qualidade metodológica dos artigos longitudinais. A prevalência nos estágios iniciais (Pré-Contemplação e Contemplação) foi alta, tanto nos estudos longitudinais, como no estudo transversal. Nas pesquisas longitudinais, pode-se observar um aumento da prevalência nos estágios de Preparação e Ação entre os indivíduos dos grupos de intervenção, quando comparados aos grupos controle. É necessário trabalhar os estágios com os constructos de autoeficácia, equilíbrio de decisão e processos de mudança. Verificou-se ser possível obter sucesso por meio das redes sociais, pois os participantes melhoraram seus índices, passando dos estágios da intenção de agir para os estágios de ação. Novas pesquisas longitudinais, com grupo controle, devem ser realizadas fazendo uso de ferramentas objetivas como acelerômetros e pedômetros. Além do mais, políticas públicas devem ser desenvolvidas na adolescência tendo como base o modelo transteórico.
A systematic review of maternal exposures and the risk of autism spectrum disorders in their infants
Authors: Jansen Shae N , Baugh Kyle M , Adams James B , Flynn Christina K , Haas David M 
Published: April 2024

Background Maternal exposures associated with autism spectrum disorder remain poorly understood. Objective The purpose of this systematic review was to assess the current understanding of maternal exposures and their associations with increased or decreased risk of infant autism. Study Design We searched Ovid MEDLINE databases and reference lists in 2021 for studies looking at maternal factors analyzed for an association with ASD. The primary outcome was autism or autism spectrum disorder diagnosis. Exposures were grouped as biomarkers, environmental, occupational, medication, genetic variability, and maternal illnesses and conditions. PRISMA guidelines were followed. Descriptive summary statistics were evaluated. Results Of 433 reports identified, 47 studies published between 2006 and 2021 fulfilled the inclusion criteria. Exposures consistently associated with a significant increased risk of autism spectrum disorder outcomes included: benzoate, 10-hydroxydecanoate, methyl jasmonate, 1-methylhistidine, nonanoic acid, organohalogens, ornithine, polyunsaturated fatty acids, agricultural pesticides, heavy metals (arsenic, cadmium, chromium, lead, low levels of manganese, tin), cigarette smoking, hypotaurine, indoor household pesticides, methanol, newborn complications at delivery, occupational exposures, solvents, strontium, urate, antibiotics, placental differently methylated regions, diabetes, maternal fever, maternal depression, androgen-associated conditions and psychiatric disorders. Factors consistently associated with a significant decreased risk included: quinoline, air conditioning, cesium, copper, 3-hydroxybutanic acid, maternal fruit consumption, mercury, and phenylalanine. Conclusions This review provides evidence that there are several potential pregnancy exposures and biomarkers associated with an autism spectrum disorder diagnosis in children. Genetic mutations may play role in impact of exposures’ risks. Continued work on identifying potential exposures and biomarkers is needed to better counsel pregnant individuals.
Using The Regression Method to Discover the Relationship Between Real Estate and Stock Market
Authors: Li Zixuan 
Published: April 2024

Recently, with the economic fluctuation, the relationship between house price and the stock market index has been paying much attention. However, this relationship has not been fully clarified yet through historical research. In this paper, several regression models including linear regression model and non-linear regression model are constructed to test for both single and dual relationship between the house price and market index. The assumption and method used in building the model will also be discussed. From testing, there is a positive linear effect on house price from the market index (approximately 80% of house price variation has been explained by the market index). On the opposite side, house price affects 93% of the market index in a positive non-linear pattern. Besides that, GDP can explain around 90% of house price variation in a positive linear relationship. This paper aims to help investors to have a better understanding of the relationship between these two and to help them build a better investment portfolio.
Cauchy's Criterion for Non-negative Hyperbolic Series
Authors: Chen Xin , Li Yuxin , Zhu Zhuolin 
Published: April 2024

Hyperbolic number plane constitutes a significant area of algebraic research, with their properties finding wide-ranging applications across various fields. Meanwhile, Cauchy's criterion, as an effective tool for determining series convergence, has also been extensively utilized in the study of hyperbolic numbers within mathematical analysis and practical problem-solving, offering valuable insights and practical applications. The paper conducted an in-depth exploration of the non-negative hyperbolic plane, applying the Comparison test and further investigating the Cauchy's criterion on the non-negative hyperbolic plane. Through the application of the comparison test, the paper have arrived at an important conclusion: when considering two numbers, and , in the non-negative hyperbolic complex plane, and , the convergence of implies the convergence of , and divergence of implies the divergence of . Furthermore, through a detailed analysis of Cauchy’s criterion, the paper also discovered a key finding: when a certain number r in the non-negative hyperbolic plane satisfies , if , the corresponding infinite series converges, whereas if , the series diverges. The paper not only pushes the frontiers of mathematical theory but also unlocks fresh avenues for interdisciplinary exploration. By delving into uncharted territories, it expands our understanding of mathematical principles and their applicability across diverse fields. Moreover, it fortifies mathematics' central role in addressing real-world challenges, providing essential tools and insights. As a cornerstone for future research, this work paves the way for innovative mathematical investigations and their practical applications, fostering a deeper symbiosis between theory and the real world.
Preface: 5th International Conference on Computer Science and Intelligent Communication (CSIC 2023)
Authors: Reade Elaine , Wang Yapeng 
Published: April 2024

2023 5th International Conference on Computer Science and Intelligent Communication (CSIC 2023) was held in Vancouver, Canada during December 30-31, 2023. This conference provides a forum for accessing to the most up-to-date and authoritative knowledge from both industrial and academic worlds, sharing best practice in the fields of computer science, artificial intelligence, machine learning, information engineering, and communication technology. A key aspect of this conference is the strong mixture of academia and industry.
All papers in this proceeding were subject to peer-review by conference committee members and international reviewers. The papers were selected for the proceedings based on quality and relevance to the conference. We express our gratitude to all people who contributed to the review process and did all their best to enhance the scientific merit and quality of the proceedings. We are also grateful to the authors for their contributions, to the speakers and participants. We wish to extend our warmest welcome to all interested participants to the next CSIC.
The CSIC Organizing committee
Vancouver, Canada
Predictive Modeling of Seismic Events: A Comparative Analysis Of K-Nearest Neighbors and Random Forest Algorithms
Authors: Sun Dayang 
Published: April 2024

This study processes and predicts seismic data using data visualization approaches, K-nearest neighbors (KNN) and the random forest (RF) algorithms. The analysis's dataset includes a number of variables connected to earthquakes. The primary goal is to devise a forecast algorithm capable of accurately categorizing seismic events, data visualization tools are utilized to gain insights into the dataset, producing informative charts that depict the distribution and correlations among different variables. This visual evaluation aids in pinpointing anomalies or trends, facilitating a deeper understanding of the data's characteristics and guiding decisions during the modeling phase. Subsequently, the KNN method classifies earthquake occurrences based on their attributes, predicting the class label by considering the characteristics of its nearest neighbors. Additionally, Accurate classification of seismic events is enhanced by using RF, an ensemble learning technique that combines many decision trees to produce predictions. To optimize outcomes, the study adjusts the random forest model's hyperparameters through cross-validation. The study compares the performance of KNN and RF using a confusion matrix. The confusion matrix shows a thorough insight of categorization performance, which provides a comprehensive view of categorization efficacy. This assessment underscores the models' precision and effectiveness in classifying seismic events.
The Influence of Job Stress and Work Environment on the Performance of Nusantara High School Teachers in Bandar Lampung
Authors: Muhammad Asyrofi  , Iskandar AA  
Published: April 2024

This research aims to examine how the work environment and stress affect the effectiveness of teachers at SMA Nusantara Bandar Lampung. Survey research using a quantitative approach is used in this study design. The study focused on teachers at Nusantara High School Bandar Lampung. A saturation sample approach (census) was used to select 41 participants from the population, encompassing principals, teachers, and administrative personnel at Nusantara High School Bandar Lampung. Multiple linear regression analysis is the strategy utilized for data analysis. Primary and secondary data are grouped during the data collection process. A questionnaire was used to collect primary data, and the Likert scale method was employed. Meanwhile, secondary data confirms primary data, which is obtained from interviews and documentation. The study's findings prove that at SMA Nusantara Bandar Lampung, work-related stress and the workplace environment have a major, partial impact on teachers' performance. Concurrently, work-related stress and the work environment have a noteworthy impact on teacher performance at SMA Nusantara Bandar Lampung, ranging from variables of 40.8% to 59.2%, depending on additional factors not covered in the research.
Digital Marketing Integration Strategy to Support Online Campaigns in Pearung Tourism Village, Humbang Hasundutan Regency, North Sumatra
Authors: Tambunan Ellyta , Bastanta Eka Putra Kembaren  , Riana Handayani Silalahi  
Published: April 2024

Analysis of the Influence of Digital Marketing Strategies and Online Campaigns on Tourist Visit Rates in Pearung Geosite Sipinsur Village, Humbang Hasundutan Regency, North Sumatra. This study aims to analyze the influence of digital marketing strategies and online campaigns on tourist visit rates in Pearung Geosite Sipinsur Village, Humbang Hasundutan Regency, North Sumatra. Research Method : This study uses a quantitative method with a survey technique. Data was collected through questionnaires distributed to 100 respondents who had visited Pearung Geosite Sipinsur Village. The data was analyzed using simple linear regression. Research Results: The results showed that Digital marketing strategies implemented by Pearung Geosite Sipinsur Village are less good. Online campaigns carried out are considered good enough. There is a strong relationship between digital marketing strategies and online campaigns on tourist visit rates. Digital marketing strategies have an influence of 80.4% on tourist visit rates in Pearung Geosite Sipinsur Village. Conclusion : The implementation of effective digital marketing strategies and good online campaigns can increase tourist visit rates in Pearung Geosite Sipinsur Village.
Efectos del sedentarismo en el desarrollo de hipertensión arterial en trabajadores de la Corporación Nacional de Electricidad;Portoviejo, Manabí
Authors: Loor-Mendoza, Gregory José , González-Robles Javier 
Published: April 2024

El sedentarismo, un factor de riesgo modificable, afecta a una gran parte de la población mundial y contribuye significativamente a la aparición de obesidad y enfermedades crónicas no transmisibles como la hipertensión arterial, convirtiéndose en un importante problema de salud pública a nivel global. Con el objetivo de evaluar la influencia del sedentarismo en el desarrollo de hipertensión arterial en trabajadores de la Corporación Nacional de Electricidad de Portoviejo, Manabí, durante el año 2021, se llevó a cabo una investigación observacional, descriptiva, de corte transversal y retrospectiva. La población de estudio fueron trabajadores de ambos sexos que habían laborado en el mismo puesto de trabajo durante al menos 6 meses, divididos en dos grupos: sedentarios y no sedentarios. Se excluyeron aquellos con diagnóstico previo de hipertensión arterial y datos incompletos en la matriz de datos anonimizados. Se encontró que el 87.3% de los trabajadores eran sedentarios, especialmente adultos jóvenes y de mediana edad, siendo predominantes en mujeres, mestizos, casados, universitarios y con antigüedad laboral de 2 a 10 años. La obesidad fue una comorbilidad importante, mientras que el tabaquismo y alcoholismo no fueron prevalentes en los trabajadores sedentarios. La mayoría de los pacientes hipertensos diagnosticados eran sedentarios y clasificados con hipertensión arterial grado 2. Se destaca la necesidad de implementar medidas para promover entornos laborales más saludables a nivel individual, empresarial e institucional.
On Epistemology in Researching the Teaching and Learning of Literacy, Literature, and the Language Arts: An Interview with Yonas Mesfun Asfaha, interviewed by Lydiah Kiramba
Authors: Asfaha Yonas Mesfun , Kiramba Lydiah 
Published: April 2024

Yonas Mesfun Asfaha is an associate professor at Asmara College of Education in Eritrea, and recently he accepted the role of acting dean of the College of Education. He is a well-known literacy scholar specializing in African literacies as well as multilingual language policy as it relates to education.
Lydiah Kiramba is an associate professor at the University of Nebraska and is originally from Kenya. Her areas of expertise include multilingual and ESL education, language and literacy teaching and assessment, and bi/multiliteracy development.
Lydiah Kiramba talked with Yonas Asfaha via Zoom during the spring/summer months of 2023 about epistemologies and ontologies that have significantly influenced his work.