bluuebunny/crossref_metadata_2025 huggingface dataset:
The Frequency Of Technology Usage In Relation To Work Productivity Among College Students
Authors: - Grace Dmello , - Sampreeti Das
Published: April 2024

The proliferation of technology, particularly the ubiquitous presence of devices such as laptops, smartphones, and tablets, has led to a surge in the usage of social media platforms among college students. In the contemporary landscape, work productivity is a multifaceted construct influenced by various factors including compensation, work-life balance, internet utilization, motivation, and service-oriented profit chains. As organizations increasingly prioritize strategies to enhance employee productivity, understanding the nexus between technology usage and work productivity becomes imperative. This study endeavors to investigate the correlation between technology usage and work productivity among college students engaged in part-time employment. A sample of 164 participants currently enrolled in academic pursuits and concurrently employed was examined. Utilizing Pearson's correlation analysis at a significance level of 0.01, the relationship between technology usage and work productivity was assessed. Additionally, regression analysis was employed to explore the potential impact of social media usage on work productivity.
Airline Customer Satisfaction Prediction
Authors: - Krish Jindal , - Disha Sharma , - Pranjal Sharma , - Akrit Gupta , - Mansha
Published: April 2024

As the aviation industry evolves, understanding customer satisfaction has become critical for airlines pursuing to thrive in a competitive market. This research paper investigates the dynamics of airline customer satisfaction by analyzing reviews posted on Skytrax, a popular online platform known for its extensive collection of airline reviews. The study analyzes the essential features that are required for customer satisfaction in airline business, as well as performs a comparative analysis of various machine learning classifier algorithms by employing different metrics. The purpose of this comparison was to determine the most effective algorithm among them. The dataset utilized in the research consisted of reviews and ratings given by customers obtained through web scraping data from SkyTrax. Before data was transmitted to algorithms, data was cleaned using various techniques, data imputation, and removal of outliers, and removal of dependable and comparable features using various statistical methods. SMOTE imbalance approach was used in analyzing the level of bias in data. The study employs a range of metrics including accuracy score, precision, recall, f1-score, and confusion matrix, in order to compare different machine learning classifier algorithms, such as KNN, Random Forest, Decision Trees, and Logistics Regression, amongst others.
EDK-Arbeitsgruppe "Qualifizierung von Fachdidaktikern in der Lehrerbildung" AGF
Authors: Furrer Walter
Published: April 2024

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Sichtweisen der Unterrichtsbeurteilung und Möglichkeiten der Dokumentation des beobachteten Unterrichts
Authors: Messner Helmut
Published: April 2024

Unterrichtsbeurteilung ist eng mit der Vorstellung von "gutem" Unterricht verknüpft. Jede Zeit und pädagogische Strömung setzt andere Akzente, die mit dem jeweiligen Verständnis von Schule und Unterricht zusammenhängen. Im ersten Teil des folgenden Beitrags werden thesenartig Anforderungen formuliert und kommentiert, die in der heutigen Didaktik an einen "guten" Unterricht gestellt werden. Im Hinblick auf die Lehrerberatung und Unterrichtsbeurteilung ist es wichtig, möglichst vielseitige Informationen über das Unterrichtsgeschehen zu sammeln. Ein Mittel dazu ist die teilnehmende Beobachtung. Im zweiten Teil des Beitrags werden Anregungen zur ganzheitlichen und systematischen Unterrichtsbeobachtung gegeben.
Unterrichtsbeurteilung (Lehrerbeurteilung)
Authors: Dubs Rolf
Published: April 2024

In diesem Beitrag gelangt das System der Unterrichtsbeurteilung, wie wir es an der Hochschule St. Gallen bei der Aus- und Weiterbildung der Handelslehrer verwenden, zur Darstellung. Aus Platzgründen bleibt die Abhandlung fragmentarisch. Insbesondere können die vielen offenen Fragen der Auswahl von Beurteilungskriterien des Unterrichtsverhaltens des Lehrers sowie der "Erfolgsmassstäbe" in diesem Aufsatz nicht mit der an sich erforderlichen Tiefe abgehandelt werden.
Mit offenen Karten: Drei Ansätze zur Erhöhung der Transparenz von Unterrichtsbeobachtung, -besprechung und -beurteilung
Authors: Wanzenried Peter
Published: April 2024

Beobachtung und Beurteilung sollen möglichst objektiv erfolgen? Gespräche sollen partnerschaftlich und wenig direktiv sein? Freiraum und Spontanität sollen nicht eingeschränkt werden: Zu diesen drei häufig vertretenen Postulaten möchte ich eine deutliche Gegenposition vertreten, weil ich überzeugt bin, dass sie zu oft zur Verschleierung wirklicher Absichten und zur Verhinderung echter Lernchancen in der schulpraktischen Ausbildung beitragen.
Analisis Pengukuran Beban Kerja Mental Pekerja Produksi CV. Hikmah Jaya Garment Menggunakan Metode NASA-TLX dan RSME
Authors: Maulida Dewi Amanda  , Isna Nugraha
Published: April 2024

Hikmah Jaya Garment is a company that produces various clothing equipment and apparel manufacturing. With the number of production requests that continue to increase every time as well as the application of the make-to-order system which causes an uncertain production schedule, it causes the emergence of its own work demands for workers. These conditions can affect the quality of the production results they are working on, so this study aims to analyze the mental workload experienced by employees at CV. Hikmah Jaya Garment is a reference for providing improvement solutions to increase work productivity. This research uses the National Aeronautics and Space Administration Task Load Index (NASA-TLX) and Rating Scale Mental Effort (RSME) methods through a questionnaire containing factors or indicators of mental workload to workers. Based on the results of calculations and analysis, the average NASA-TLX score is 74.9% and the average RSME score is 83.1%, which means that the mental workload experienced by workers is in a high category with the amount of effort expended included in a large enough category. These high results cause less than optimal worker productivity so there are several recommendations for improvement in the aspects of workload indicators.

Keywords: Mental Workload, NASA-TLX, Production, RSME, 5S
Analisis Faktor Penyebab Banjir Di Kecamatan Jombang Dengan Model Sistem Dinamik
Authors: Sinaga Mikhael Fernand , Setiadji Bayu Rizqi , Hidayat Rahmat , Sahrupi Sahrupi
Published: April 2024

Cilegon City is an area that has a high level of vulnerability to various disasters, including natural disasters. Natural disasters are events that are natural and have the potential to cause damage and destruction to the environment, with impacts in the form of loss of life, material loss, and damage to infrastructure that has been developed over some time. Based on the Cilegon City Regional Disaster Management Agency (BPBD), flooding is a frequent natural disaster in Cilegon City. This research aims to identify the factors that cause flooding in the Jombang Subdistrict area. The research stages are observation, data collection, data processing with the causal loop diagram approach, data validation, data analysis, and conclusion. The results of the analysis show that the main factors causing flooding in Jombang Subdistrict are the intensity of rainfall, small drainage, and the small number of absorption wells. The consequences caused by floods are property damage, the spread of disease, economic losses, environmental damage, infrastructure disruption, and social disruption. Therefore, the solution to flooding in Jombang Subdistrict is to expand drainage, add the number of absorption wells, provide education to the community about environmentally friendly behavior, and green the environment.
Keywords: Cilegon, Causal Loop Diagram, Dynamic System, Flooding
The Impact of a Simple Channel Factor on Vocabulary Learning of Iranian EFL Learners Across Genders
Authors: Alifathabadi Jassem , Safaeimehneh Sara
Published: April 2024

The concept of channel factors was introduced by Kurt Lewin to the field of psychology as seemingly unimportant circumstantial changes that could affect the trajectory of an endeavor. The primary goal of the present study was the examination of the impact of using a timeslot on Iranian English as a Foreign Language (EFL) learners' performance on vocabulary, and the respective comparison based on gender. A total number of 180 male and female upper-intermediate EFL learners participated in this study. They were divided into six classes: two classes were not provided with the channel factor, two of them received it from the outset, and the other two were exposed to it in the middle of the semester. The participants, all of whom took three tests (pretest, mid-test, post-test), were categorized into six types based on their gender and the existence and timing of the channel factors. The results of data analysis through Analysis of Variance (ANOVA) revealed that the channel factor positively impacted the performance of participants regardless of gender. However, its impact was stronger on males in the short run but more endurable among females.
Analisa Kelayakan AR Artbook sebagai Media Promosi Destinasi Pariwisata dan Kebudayaan di Kota Singkawang
Authors: Putra Ryo Chandra
Published: April 2024

Indonesia merupakan negara dengan keberagaman suku, budaya, dan tradisi tersebar di 17,508 pulau. Hal ini tentu memberikan keunggulan dalam sektor pariwisata yang ada di Indonesia. Salah satunya, Kota Singkawang yang ditajuk Kota Tertoleran di Indonesia namun tidak memiliki angka pariwisata yang fantastis meskipun memiliki banyak tradisi multikultural yang unik dan destinasi serta objek wisata yang menarik. Tujuan dari penelitian ini adalah untuk menganalisis kelayakan media literatur Buku Ilustrasi yang dikombinasikan dengan teknologi Augmented Reality (AR) sebagai media promosi destinasi pariwisata dan kebudayaan yang ada. Metode penelitian kualitatif dilakukan berdasarkan studi literatur, studi data dan juga studi kasus terhadap penelitian dan perancangan yang sudah dilakukan maupun dipublikasikan. Berdasarkan hasil analisa, ditemukan bahwa media literatur Buku Ilustrasi AR layak menjadi opsi alternatif pendukung yang tidak hanya dapat mendorong media promosi yang sudah dilakukan oleh Pemerintah Kota Singkawang, namun juga mampu menjadi media pembelajaran terhadap kebudayaan dan pariwisata yang ada di Kota Singkawang.
Experiential Marketing pada Produk Fashion Wanita
Authors: Lathifah Nisa , Oentoe Gracia Frakcisa Stephanie
Published: April 2024

Penelitian ini mengkaji tentang penerapan strategi experiential marketing modules (SEMs) pada produk buste houder di Wacoal Transtudio Mall Bandung. Penelitian ini bertujuan untuk mengetahui penerapan kelima strategi experiential marketing modules (SEMs) menurut Schmitt (1999), yang terdiri dari sense, feel, think, act dan relate dalam pemberian edukasi oleh SPG Wacoal Transtudio Mall Bandung. Penelitian ini menggunakan metode kualitatif dengan pendekatan studi kasus. Teknik pengumpulan data menggunakan adalah wawancara, observasi dan dokumentasi. Hasil penelitian ini adalah penerapan lima modul Strategi Experiential Marketing Modules (SEMs), yaitu sense pada penglihatan konsumen Wacoal akan melihat berbagai macam bentuk model produk buste houder serta melihat informasi tentang bahaya gravity effect yang disampaikan secara lisan oleh SPG Wacoal hal ini juga merupakan aspek pendengaran. Pada aspek feel, konsumen Wacoal merasa senang dan merasa terbantu dengan pemberian informasi tentang grafity effect dan SADARI serta dilakukannya pengukuran sehingga konsumen mendapatkan produk yang sesuai dengan kebutuhannya (act, think dan relate).
Expanding indications for chronic hepatitis B treatment: Is it really desirable to treat everyone?
Authors: Di Dato Fabiola , Iorio Raffaele
Published: April 2024

Chronic viral hepatitis causes an increased risk of progressive liver disease and hepatocellular carcinoma. On the wave of the World Health Organization’s goal to reduce new cases and deaths from hepatitis B and C by 2030, there is an increasing call to expand the indications for treatment of chronic hepatitis B. Currently, the main goal of treatment is to achieve a functional cure due to the inability of current drugs to completely eradicate the virus. There are still many discrepancies between available guidelines in terms of eligibility for treatment as well as an uncertainty about the appropriate treatment duration. This editorial addresses key questions about the topic and whether indications for treatment should be expanded.
Eruption Pattern of Permanentcanine and Premolar Teeth among School Children aged 10 to 12 Years in a Rural Area: A Cross-Sectional Study
Authors: Anilkumar. N  , Usha. M  , C. S. Sreedevi  , Sreelekshmi. J
Published: April 2024

Background: Forensic dentistry is a specialized field that evaluates dental evidence to identify unidentified individuals and missing persons in legal proceedings. Dental charts are compared with known records to establish identity. Accurate age determination is crucial, and dental age assessment is reliable up to 17 years. The study aims to analyze permanent teeth eruption patterns of canines and premolars in school children aged 10 to 12, contributing valuable insights for accurate age determination and identification in legal cases. The research seeks to aid the interest of justice in criminal, civil, and employment-related scenarios by understanding dental eruption patterns in this age group.Methods: This was across-sectional study conducted among the school children of south Kerala belonging to age group of 10-12 years. Eruption pattern of permanent canines and premolars of 562 subjects were recorded and analyzed using SPSS software.Conclusion: Sequence of eruption pattern of permanent canines and premolars were compared and it was observed with statistical significance that eruption of canineprecedes the eruption of second premolars. All the teeth erupted earlier in females compared to males.There was a significant relation with reduced body mass index and delayed eruption of teeth.
Mikrobiyolojide Güncel Konular V
Authors: Tunçer Gülşah , Özmen Cumhur , Ala Selek Selva , Keskin Sarıtaş Çağla , Yıldız Ergin Merve , Yılmaz Ezgi , Çalışkan Ahmet , Ünal Gözde Gülcan , Şanlı Kamuran , Alp Göker Eda , Gürkaynak Pınar , Agüloğlu Bali Elif
Published: April 2024

Psittakoz Epidemiyolojisi, Tanı ve Tedavisi
Gülşah TUNÇER
Doku Nematodları
Cumhur ÖZMEN
Tetanoz
Selva ALA SELEK
Leptospiroz Epidemiyolojisi, Tanı ve Tedavisi
Çağla KESKİN SARITAŞ
Kırım Kongo Kanamalı Ateşi
Merve YILDIZ ERGİN
Şigelloz
Ezgi YILMAZ
İntegronlar
Ahmet ÇALIŞKAN
Gözde Gülcan ÜNAL
Brucella ve Tanı Testleri
Kamuran ŞANLI
Legionella Türleri ve Lejyoner Hastalığı
Eda ALP GÖKER
Hantavirüs Enfeksiyonları
Pınar GÜRKAYNAK
Tularemi
Elif AGÜLOĞLU BALİ
İngilizce Yolculuğu
Authors: Özberk Aylin
Published: April 2024

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Time series analysis for prediction intervals of electricity demand with weather variables
Authors:   The Korean Data Analysis Society, Choo Chaeeun , Joo Hyebin , Hwang Eunju
Published: April 2024

Annual electricity demand is steadily increasing and the importance of forecasting the electricity demand is emerging since the dependence on domestic electricity is also increasing. The purpose of this study is analysis of the electricity demand considering seasonality and weather variables, for which we study time series modelling and forecasting analysis. ARIMA, SARIMA, ARIMAX, SARIMAX models are handled with optimally selected orders. Out-of-sample forecasting analysis is carried out to evaluate predicted values and their errors such as RMSE, MAE, MAPE and MSLE. The errors by four models are compared. As the optimal model, SARIMAX(2,1,1) (2,1,2,12) model with CDD, HDD and insolation has been chosen. For strict statistical analysis of prediction intervals, normal distribution, laplace distribution and bootstrap method are adopted to construct 80%, 95% prediction intervals. Coverage probability (CP), average length (AL) and mean interval score (MIS) of the prediction intervals by three approximations are evaluated. This study contributes with novelty in that it provides three approaches of prediction intervals along with their comparison. The results of this study are expected to be of practical help in the efficient operation of electricity supply system.
Comparison of variational autoencoders for anomaly detection of electrocardiogram
Authors:   The Korean Data Analysis Society, Woo Min Sun , Lee Eunhak , Lee Woobin , Kim Seongyong
Published: April 2024

Electrocardiogram is widely used as a tool for detecting and diagnosing heart disease. Previous research revealed that deep learning models based on supervised learning have limited performance due to imbalance between normal and anomaly. To overcome this problem, anomaly detection models using variational autoencoder (VAE) have been proposed. After training VAE model using normal data, a threshold to distinguish normal and anomaly is set by using validation data, then test data is applied. VAE model has encoder, a latent variable layer, and decoder. and deep learning models are embedded in encoder and decoder. In this paper, VAE models embedding MLP, RNN, and LSTM are compared under various settings which are the type of data (original data or the first-order differential data) and the assumption for the variance of decoder. As results of analysis, VAE model based on LSTM is performed best when original data is used and a deep learning model for the variance of decoder is embedded. Additionally, the performance of VAE models using original data were better than models using first-order differential data.
Application of the TBATS Model for Analyzing Demand in Public Events
Authors:   The Korean Data Analysis Society, Choi Youngeun , Yoon YoungHak , Euh Seung-Seob , Choi Eun Chul
Published: April 2024

Recently, local governments have been actively organizing various event-based projects with the aim of strengthening community ties and revitalizing local economies. Consequently, there is a growing need for objective methodologies to evaluate the efficiency and validity of these public events projects. However, despite the increasing number of studies in this area, quantitative research regarding the analysis and prediction of the effectiveness of event-based projects remains scarce. In this study, we propose a methodology using the “Seoul Living Population Data” provided by the Seoul Metropolitan Government to quantitatively analyze and predict the effects of event-based projects. Specifically, by applying the TBATS model, which can consider various trends in time-series data (annual, weekly, daily, hourly), we aim to objectively analyze the effects of event-based projects and present a methodological procedure for quantifying the actual impact of these events. As a result, we confirm that this methodology enables the statistical analysis of the actual effects of event-based projects. Therefore, the proposed methodology in this study is expected to be utilized in assessing the demand for future event-based projects and is anticipated to provide more direct data compared to conventional qualitative assessments.
Long-Run Operating Performance of SPACs IPOs
Authors:   The Korean Data Analysis Society, Shin Jae-Shik , Choi Seung Doo
Published: April 2024

As SPAC IPOs increase in Korea, market interest is growing, but related research is lacking. In this study, we track the performance of SPAC IPOs, especially changes in operating performance before and after listing. For this purpose, we use a sample of 62 SPAC IPOs conducted between January 2010 and December 2022 to compare the operating performance of the year immediately before listing and the third year after listing. As a result, efficiency indicators tend to worsen, but the operating performance of SPAC IPOs as measured by profitability indicators does not worsen. These results are significantly different from the widely known phenomenon that stock performance in the IPO market, not only in the United States but also around the world, shows significant long-term underperformance and, consistent with this phenomena, operating performance of SPAC IPOs also shows significant long-term underperformance. Therefore, unlike the USA, SPAC investors in Korea are not continuous losers, and the SPAC IPO system is likely to be a good policy alternative to traditional IPOs.
Effect of applying illness narrative teaching method using movies in nursing education
Authors:   The Korean Data Analysis Society, Cho Yeon-gyo , Jo Myoung-Ju
Published: April 2024

This study is a non-equivalent control group, pre-post, time-lag design study to confirm the effect of applying the disease experience narrative teaching method using movies to nursing students. The illness narrative teaching method program consisted of partially providing the  movie and writing and presenting a patient experience worksheet. 63 people in the experimental group and 59 people in the control group participated. Data analysis was performed using ²-test, t-test, ANCOVA, and paired t-test using SPSS 24.0. As a result of this study, the experimental group's empathy (F=108.202 p=.<.001), caring efficacy (F=104.756 p=.<.001), and attitude toward end-of-life care (t=-2.104, p=.002) were higher than those of the control group. It was confirmed that there was statistically significant improvement. In future research, it is suggested to confirm the effects on patient-centered attitude, communication, and ethical decision-making through disease experience narrative teaching methods using not only movies but also actual patient experience interviews and documentaries. In addition, we propose a study that compares the effects of empathy and caring efficacy after nursing students indirectly experience the patient's perspective by participating in the patient's treatment process during the clinical training period.
Effects of Uncertainty, Resilience on Compliance among Kidney Transplant Patients
Authors:   The Korean Data Analysis Society, Kim Eunah , Cha Chiyoung
Published: April 2024

The purpose of this study was to explore the relationships between uncertainty, resilience and compliance among Kidney transplant (KT) patients. For this descriptive study, 213 KT patients were recruited from the outpatient departments in one tertiary hospital and five on-line patient self-help communities. Data collection included demographics and clinical characteristics of the participants, uncertainty, resilience, and compliance. Data were analyzed using SPSS 28.0. Compliance was negatively correlated to uncertainty (r=-.312, p<.001) and positively correlated to resilience (r=.629, p<.001). Regression model explained 43.5% of the variance (F=24.335, p<.001). Gender (female) (β=.111, p=.039), experience of ABO·organization incompatibility (β=.140, p=.008) and resilience (β=.641, p<.001) influenced KT patient’s compliance. In conclusion, repeated studies of resilience should be introduced to prove its influence factors. Also, intervention strategies should be introduced to improve negative psychological reaction and develop an individual characteristics nursing program.
Personal Branding como Competencia en los Docentes de Educación Superior
Authors: Gangotena Flores José Gabriel , Portilla Shirley Vanessa
Published: April 2024

Debido al alto nivel de competitividad actual a nivel profesional, en especial en el ámbito de la educación superior y al gran impacto social que genera la profesión docente, el presente trabajo reflexiona en un principio sobre las características que debe tener el personal branding en los docentes de educación superior para posteriormente determinarlo como una competencia profesional, estableciendo a su vez las conductas observables que determinan la existencia o no de la competencia como tal y el nivel de desarrollo existente en la persona. El estudio fue realizado mediante una revisión bibliográfica analizando información sobre el personal branding y competencias en docentes con el objetivo de brindar claridad sobre si el personal branding puede ser manejado como una competencia profesional docente y las características que debería tener para mediante la aplicación de entrevistas comprender la influencia de cada factor sobre la marca.
Calidad de sueño en estudiantes de la Licenciatura en Enfermería General
Authors: Pérez Ricardo Lara , Cobos Flores Debanhi Samantha , Rangel Rosas Leslie , Balderas Hernández Karyme , Cabrera Beatriz Medellín , Gutiérrez Gómez Tranquilina
Published: April 2024

Introducción: Los estudiantes universitarios están en mayor riesgo de tener una mala calidad de sueño por los cambios relacionados con la vida académica. Objetivo: Describir la calidad de sueño y sus características sociodemográficas asociadas en estudiantes de la Licenciatura de Enfermería General. Materiales y Métodos: Estudio transversal realizado en una universidad pública de México con una muestra por conveniencia de n= 99 estudiantes. Se aplicó el Índice de Calidad de Sueño de Pittsburgh (ICSP). Análisis mediante regresión lineal. Resultados: Edad promedio de 20.24 años (DE= 1.57 años), 86.87% mujeres. Mediana del puntaje del ICSP de 8 puntos (Q1 - Q3= 6 - 10 puntos), 79.80% con mala calidad de sueño. El sexo (β= 2.36; IC 95%= 0.64, 4.08; p < 0.01) y el estatus laboral (β= 1.65; IC 95%= 0.29, 3.00; p= 0.01) fueron características asociadas con la calidad de sueño. Discusión y Conclusiones: En las mujeres se afecta la calidad de sueño debido a características hormonales y trastornos del estado del ánimo. Los estudiantes que se encuentran trabajando ajustan sus horarios disminuyendo las horas de sueño. Se resalta la importancia del personal de salud en las instituciones para fomentar una adecuada higiene del sueño en los estudiantes.
RNA m6A Methylation and Alzheimer's Disease: Current Evidence and Future Perspectives
Authors: Pan Wenqi , Chen Yan , Xu Yuesi , Tong Wei-Min , Niu Yamei
Published: April 2024

Background: Alzheimer’s disease (AD) is the most common neurodegenerative disease characterized by the pathological accumulation of b-amyloid and neurofibrillary tangles. Despite substantial progress in both basic and clinical research on AD, the detailed mechanism of AD pathogenesis is still elusive. RNA N6-methyladenosine methylation (m6A) is the most predominant post-transcriptional modification on eukaryotic mRNA, prominently enriched in the mammalian brain. Notably, m6A-modified RNA showed significant changes during the development of AD, indicating an important role of this modification in AD pathogenesis.
Aim: In this study, we aim to provide a summary of recent advances highlighting the indispensable role of m6A in AD pathogenesis.
Result: From the perspective of m6A modification, we review our current understanding of the association between RNA m6A machinery and the risk factors of AD, as well as its involvement in various pathophysiological hallmarks of AD. We also discuss the main obstacles in current studies about m6A in AD pathogenesis and the corresponding caveats and solutions to them.
Conclusion: This review emphasizes the significance of investigating m6A in the context of AD and highlights the considerable potential for m6A to emerge as a novel therapeutic target for AD.
Exploring Students’ Creativity Using STEAM-Based Reading Texts
Authors: Erni Yulianti  , Nor Farahwahidah Abdul Rahman  , Amalia Rahmadani  , Fatin Aliah Phang  , Hadi Suwono
Published: April 2024

Creative thinking is one of the important skills required to face the 21st century challenges. However, students’ creativity assessment is challenging. Grounded on the paradigm that creativity is a tangible parameter, this study aims to explore students’ creative thinking skill via a reading-based creativity test. The test was developed by considering the creativity indicators defined by Paul Torrance, i.e., fluency, flexibility, originality, and elaboration. In this creativity test, the reading and the questions were designed to make students integrate their science, technology, engineering, arts, and mathematics (STEAM) knowledge. Based on the empirical validation, the creativity test had a reliability of 0.897, indicating that the test was reliable to measure students’ creativity. Due to the Covid-19 pandemic, the test was conducted online to 108 junior high school students in East Java, Indonesia. In general, the students achieved the highest level of creativity in terms of originality that gained average score of 3.63 (with scale 4.00). Meanwhile, they underperformed on the aspects of elaboration having average score of 2.40. There were 93 and 79 students who responded very well on the originality and fluency aspects, respectively. In contrast, respectively over 30% and 50% of students showed a lack of creativity on the aspect of flexibility and elaboration. These creativity assessment data are beneficial for educational stakeholders especially to increase the quality of teaching and learning related to STEAM education.
An Improved Network Intrusion Detection Method Based On CNN-LSTM-SA
Authors: Kang Leng Chiew  , Bian Hui
Published: April 2024

Network intrusion detection is an essential component of contemporary cybersecurity strategies, and the development of efficient techniques to accurately identify malicious activities has become a priority. This study investigates the performance of various conventional machine learning algorithms, including decision trees, naive Bayes, naive Bayes trees, random forest, random trees, MLP, and SVM, in detecting network intrusions using binary and multi-classification approaches. Furthermore, the study proposes a deep learning method, CNN-LSTM-SA, which consistently outperforms conventional machine learning techniques in terms of precision, recall, F1 score, and overall accuracy for network intrusion detection. Specifically, the proposed method combines CNN and LSTM with SA in machine learning theory to extract more optimized, strongly correlated features. The proposed method is evaluated using the benchmark NSL-KDD database. The results indicate that the CNN-LSTM-SA method holds great potential in enhancing the efficacy of network intrusion detection systems.
Robust Segmentation of COVID-19 Chest X-Ray Images: Analysis of Variant k-Means Based Clustering Algorithms
Authors: Ooi Wei Herng  , Aimi Salihah Abdul Nasir  , Abdul Syafiq Abdull Sukor
Published: April 2024

Computer aided diagnosis (CADx) become one the most famous method in diagnostic medical field due to the high reliability and efficiency. Recently, the coronavirus disease (COVID-19) has become severe global pandemic. Particularly, the Chest X-ray (CXR) imaging has become an essentiality in COVID-19 detection. As a result, the convergence of CADx technology with Chest X-ray analysis has achieved great efficiency in COVID-19 diagnosis. Therefore, the research value of CADx in COVID-19 diagnosis is exceptionally high. This study aims to evaluate different k-means based clustering algorithms and identifying the one with the highest overall accuracy. First of all, 150 COVID-19 CXR open-source images are acquired from Kaggle and Github. All the images will be unified into a same image size with 1000*1000 pixels and quality during the image pre-processing. Next, the resized images are enhanced by the Modified Global Contrast Stretching (MGCS) enhancement method to increase the quality of images. Then, the traditional k-means, k-medians, k-medoids and fast k-means clustering methods have been implemented in the image segmentation. At the same time, five different numbers <2, 4, 6, 8, 10> of clusters also tested out in this study. Lastly, all the segmented is proceeded to the segmentation performance based on sensitivity, specificity, accuracy, precision, recall and F-score. The result proves that the k-medoids clustering algorithm with 2 clusters archived the best overall segmentation performance as it obtained the highest sensitivity, accuracy, recall and F-score with 66.14%, 87.98%, 0.6614 and 0.7327.
Marine Macro- and Micro Plastic Litter on Beach Sediment of Northern Peninsular Malaysia
Authors: Zaity Syazwani Mohd Odli  , Anisah Jessica Lee  , Muhammad Syamil Amir Hamzah
Published: April 2024

This paper investigates the spatial distribution of small plastic litter on the beach of Kuala Perlis and Pulau Langkawi in the northern region of Peninsular Malaysia. The objectives are to ascertain the categories of macro marine litter and macroplastic types, the amount of microplastic in the sediment layer, and the relationship between macroplastic and microplastic. Macro marine litter was collected in 100-meter transects at six different locations. Sediment samples for microplastic identification were collected using a quadrat measuring 0.5 m × 0.5 m with a depth of 0.05 m. Plastic accounts up most of the macro marine litter collected (73.8%), followed by glass (12%), fabric (7.8%), rubber (4.4%), wood (2%), and metal (0.07%). Between 2018 and 2020, the overall weight of macroplastic (>5 mm) litter and the amount of microplastic (<5 mm) litter on northern beaches were 80.371 g/m2 and 11.094 g/m3, respectively. In this investigation, macroplastic collected on the beach surface ranged from 0.02 g to 14.09 g/m2, while microplastic in the beach sediment ranged from 0 to 1.192 g/m3. The packaging category seems to have the highest percentage of collected macroplastic. At the 95% confidence level, the calculated R2 of 0.7444 indicates a substantial association between macroplastic and microplastic. The linear regression equation is y = 0.1927x + 0.0226, with y representing microplastic (g/m3) and x being macroplastic (g/m2). This strong link demonstrates that the presence of microplastic in sediment is strongly related to the abundance of macroplastic on the beach. This finding provides a good approximation of actual microplastic occurrence to macroplastic abundance, which will be useful in environmental evaluation and management approaches.
Polydimethylsiloxane-coated Fiber Bragg Grating as a Bend Sensor
Authors: Shazmil Azrai Sopian  , Sumiaty Ambran  , Nazirah Mohd Razali  , Muhammad Quisar Lokman  , Fauzan Ahmad  , Nelidya Md Yusoff  , Dwi Hanto
Published: April 2024

The fiber Bragg grating sensor is often demonstrated as a bend sensor. However, the demonstrated sensor in previous studies was limited to low sensitivity, thus reducing the sensing performance. Hence, this work demonstrated the polydimethylsiloxane-coated fiber Bragg grating sensor for sensitivity enhancement. The proposed sensor with a diameter of 5 cm was bent by adjusting the translation stage from 0.1 cm to 0.9 cm distance in forward and backward direction. The results showed that the Bragg wavelength shifted towards the longer wavelength region when the distance decreased. The polydimethylsiloxane-coated fiber Bragg grating sensor shows a sensitivity of 1743000 A.U, 8 times higher than the uncoated fiber Bragg sensor with a sensitivity of 284000 A.U. The presence of the polydimethylsiloxane layer has successfully improved the sensor performance.
An Investigation of the Effect of Wide Range Gamma Radiation from Nanoindentation of the SAC305 Solder Alloy
Authors: Muhammad Nur Hisyam Rosman  , Wan Yusmawati Wan Yusoff  , Nor Azlian Abdul Manaf  , Mohamad Faizal Abdullah  , Che Azurahanim Che Abdullah  , Samer H. Zyoud
Published: April 2024

This study utilises nanoindentation testing to investigate the impact of varying gamma radiation doses on the micromechanical properties of Sn-Ag-Cu (SAC) alloy. Specifically, the focus is on evaluating changes in hardness, reduced modulus, and creep behaviour. The stencil-printed method and reflow soldering process were employed to apply the SAC solder paste and create solder joints on the surface of the printed circuit board. The soldered samples underwent exposure to gamma radiation at different doses, specifically 5, 50, 500, 5000, and 50000 Gy. The solder received in its original state was used as the control sample. Subsequently, the samples were subjected to a nanoindentation test in order to ascertain the correlation between load and depth, depth and dwell time, when exposed to radiation. The load-depth curve results indicate that there is a transition in the behaviour of solder joint materials from elastic to plastic deformation as the radiation dose increases. A finding has been made indicating that exposure to gamma radiation has the potential to induce a transition in the behaviour of SAC from an elastic state to a plastic state. The exposure to radiation doses has been found to induce changes in the atomic arrangement and structural properties of materials, leading to an increase in their hardness values. Nevertheless, it was observed that with increasing radiation doses up to 500 Gy, there was a noticeable decrease in the hardness value, which can be attributed to the occurrence of softening behaviour. Exposure to a high dose exceeding 5000 Gy leads to atomic displacement and transmutation products, subsequently resulting in plastic deformation. The stress exponent value signifies the occurrence of the deformation mechanism in solder material when exposed to gamma radiation. The study revealed that there was a shift in the deformation mechanism from grain boundary sliding to dislocation climb as the radiation dose increased from low to high levels.
Photocatalytic Degradation of Methylene Blue and Methyl Orange Dye by Using the Core-Shell Structure of Fe3O4@ZnS Nanoparticles
Authors: Benazir S Pirjade  , Shivaji Dinkar Jadhav  , Israr Ahmad Shaikh  , Sher Afghan Khan
Published: April 2024

A straightforward and highly efficient method was developed for the synthesis of Fe3O4@ZnS core-shell nanoparticles (NPs). These synthesized materials were subsequently utilized for the photocatalytic degradation of methylene blue (MB) and methyl orange (MO) dyes. The structural characteristics of the prepared sample were meticulously investigated through X-ray diffraction (XRD) and field-effect scanning electron microscopy (FESEM). The XRD analysis confirmed the crystalline phase formation in the Fe3O4 nanoparticles, while a study in the Vibrating Sample Magnetometer (VSM) mode emphasized their strong ferromagnetic behavior. The degradation of dyes was comprehensively studied using UV-Vis analyses, taking into account factors such as pH and initial dye concentration in the decolorization process. The synthesized Fe3O4@ZnS core-shell nanostructure underwent thorough characterization using XRD, UV-Vis spectroscopy, SEM, Fourier-transform infrared spectroscopy (FT-IR), and VSM mode in PPMS. Furthermore, the reusability of the catalyst was explored, yielding promising results. The findings demonstrated the efficient photocatalytic degradation of MB and MO dyes under UV-visible irradiation, achieving significant results within 30-minute intervals.
All Country Sign Language Recognition System to Help Deaf and Mute People
Authors: Sai Raju Jami , Kamal Kumar Nahak , Hemanth Kumar Uppala , Vijay Charith Guntuboina Ravi , Subhalaxmi A.
Published: April 2024

With the use of contemporary technology, the "All Country Sign Language Recognition System to Help Deaf and Mute People" project seeks to provide a strong solution that will close communication barriers between the deaf and mute population and the general public. The project aims to use machine learning techniques and computer vision techniques to properly understand and convert sign language motions into generally used languages, with a concentration on Indian sign language. Deaf and mute people will benefit from increased accessibility and inclusion in a variety of spheres of everyday life, including social interactions, work, and education, by virtue of the implementation of this system. The initiative helps to create a more inclusive society in addition to addressing the urgent demand for efficient communication tools for the deaf and mute communities.In this people can interact using different country sign languages like ISL, ASL, BSL, etc.
Smart Cities: Boosting Economic Growth through Innovation and Efficiency
Authors: Zeaiter Ali
Published: April 2024

his master's thesis, entitled "Smart Cities: Boosting Economic Growth through Innovation and Efficiency," embarks on an exploration of the transformative potential of smart urbanization in the face of global challenges. Envisioning cities as dynamic ecosystems fueled by technology, sustainability, and effective governance, the research delves into historical roots and theoretical frameworks across urban planning, technology, economics, and governance. The thesis invites readers on a journey through smart infrastructure, digital connectivity, and data-driven governance, illustrating how smart cities function as both innovation hubs and catalysts for economic dynamism. The conclusion draws insights from a comprehensive exploration spanning six countries from 2000 to 2021, interpreting data as a narrative that unveils the complexity of economic relationships. Emphasizing the multifaceted nature of these connections, the conclusion provides guidance to policymakers and researchers, urging a focus on theoretical implications, diagnostic test results, and a holistic perspective on the transformative potential of technological infrastructure, particularly smart cities, in fostering economic development.
Centenary Paper: José María Castellet frente a la censura franquista: el caso de
Nueve novísimos poetas españoles
Authors: IRAVEDRA ARACELI
Published: April 2024

Este trabajo analiza los forcejeos con la censura franquista a que debió hacer frente José María Castellet a la hora de encarar tres proyectos antológicos decisivos para la historia de la poesía española de posguerra. Los especiales rigores con que fue saludada
Nueve novísimos poetas españoles
(1970) nos invitan a poner el foco en esta antología, que, contando con cualidades que debieran hacerla más resistente, se estrelló contra la censura como no lo hicieron sus precedentes antológicos. Por un lado, la reflexión sobre esta paradoja nos conduce a aventurar hipótesis sobre las dinámicas de actuación de la instancia represora. Por otro lado, el minucioso análisis del expediente de censura de
Nueve novísimos
nos permite obtener conclusiones interesantes. Así, es cierto que la dicción elíptica que ponían en curso los poetas novísimos blindó a la antología de un expurgo mucho más amplio. Sin embargo, la censura efectivamente practicada, que pulió los costados más obvios de su vocación insurgente, bastó para torcer la recepción histórica y, de camino, la significación historiográfica de un libro al que se negó obstinadamente su sustancia subversiva. El hallazgo de una composición inédita de José María Álvarez no es seguramente la menor de las sorpresas que depara la vertiente archivística de esta investigación.
ANALYZING THE IMPACT OF THE INNOVATION PERFORMANCE ON HIGH-TECH ENTERPRISES: A CASE STUDY OF THE CHINESE SEMICONDUCTOR INDUSTRY
Authors: Yin Feng , Lee Woonseek , Guo Yaoyao
Published: April 2024

This study, which focuses on Chinese semiconductor companies, explores the relationship between government support (GS), proactive market orientation (PMO), science and technology (S&T) employees input (STEI), S&T employees management (STEM), and innovation performance (IP). In addition, existing studies examine the moderating effect of S&T employees management (STEM) on the relationship between S&T employees input (STEI) and innovation performance (IP). We obtained 324 valid samples through an email survey and utilized structural equation modeling (SEM) path analysis for hypothesis testing. The results of the analysis indicated that government support (GS), proactive market orientation (PMO), S&T employees input (STEI), and S&T employees management (STEM) exerted a positively significant effect on innovation performance. However, the moderating effect of S&T employees management on S&T employees input and innovation performance was not validated. Based on these findings, it can be concluded that Chinese semiconductor companies should utilize preferential policies of government offer. By adopting a proactive market orientation, companies can enhance communication with customers and can gain competitive advantage. In addition, enterprises should increase the number of S&T employees, and salaries and training costs. Finally, enterprises should implement the human resources strategy which can retain outstanding S&T employees.
Investigating the Origins of Hot Neptunes from Radial Velocity Data
Authors: Zheng Sophie Y.
Published: April 2024

Hot Neptunes are extrasolar planets that are similar in size to Neptune in our solar system but are much closer to their host stars, completing an orbit in 10 days or less. The origin of hot Neptunes is not fully understood. A potential large third body at a distance can lead to the migration of long-period planets to become much closer to the host star, and such a dynamical process helps explain the origin of hot Jupiters. We investigate whether hot Neptunes could share a similar origin by analyzing radial velocity data from multiple sources for a sample of 34 hot Neptune systems. Hot Neptune systems appear to have similar values of linear trend to hot Jupiter systems. We perform a maximum likelihood analysis to constrain the mass and distance distribution of the putative third body. The overall fraction of hot Neptune systems with third bodies is consistent with unity, higher than 71% at the 2σ level. On average, the mass and distance distribution of the third bodies for hot Neptune systems is consistent with that for hot Jupiter systems. Our results suggest that hot-Neptune systems share the same origin mechanism as hot Jupiters, e.g., through the gravitational effect of third bodies.
A Search for Temporal Atmospheric Variability of Kepler Hot Jupiters
Authors: Li Canis , Shporer Avi
Published: April 2024

We perform a systematic search for atmospheric variability in short-period gas-giant planets (hot Jupiters) observed by the Kepler mission, by looking for temporal variability of their secondary eclipse depths. This is motivated by a recent detection of a decrease in the dayside brightness of KELT-1 b between TESS Sectors 17 and 57, separated by about 3 yr. We fit the Kepler light curves of 53 hot Jupiters and measure their secondary eclipse depths during individual Kepler quarters and four-quarter windows. We detect the secondary eclipses in individual quarters or four-quarter windows for 17 out of the 53 systems. In those 17 systems we do not detect statistically significant astrophysical variation in the secondary eclipse depths. We show that the data is sensitive to the variability seen for KELT-1 b in TESS data. Therefore, the absence of detected secondary eclipse variability in Kepler data suggests that the atmospheric variability in KELT-1 b is not common. In addition, several of the 53 targets we investigated display variability in their transit depths with a period of four quarters (1 yr). This instrumental signal is likely present in the light curves of other transiting planets we did not analyze and other variable stars observed by Kepler. Finally, we find that Kepler-488 b has a secondary eclipse depth that is unphysically large for a planet, and thus is likely a misclassified red dwarf.