bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Sentimen Publik Terhadap Pengungsi Rohingya di Indonesia dengan Metode Support Vector Machine dan Naïve Bayes
Authors: Ananda Dhea , Suryono Ryan Randy
Published: July 2024

The arrival of Rohingya refugees in Indonesia has become a highly controversial topic, eliciting various responses from the public. In this context, public sentiment analysis regarding the arrival of Rohingya refugees is crucial for understanding the dynamics of feelings, opinions, and attitudes of the Indonesian society towards this issue. In conducting public sentiment analysis, the selection of methods is crucial to ensure accurate results. The aim of this research is to conduct sentiment analysis regarding the arrival of Rohingya refugees using the Support Vector Machine (SVM) and Naive Bayes methods. The main focus is to evaluate public sentiment and compare the performance of both methods. Two common methods used in sentiment analysis are Support Vector Machine (SVM) and Naïve Bayes. This research utilized a dataset of 3350 tweets to conduct public sentiment analysis on the arrival of Rohingya refugees in Indonesia. In this study, data was divided using the 70:30 split method, where 70% of the data was used for model training and 30% for model testing. The research findings indicate that the SVM model has an accuracy of 76%, while the Naïve Bayes model has an accuracy of 70%. This suggests that the SVM model is better at predicting sentiments and has lower error rates compared to the Naïve Bayes model.
Implementation of the Support Vector Machine (SVM) Method for Classification of Underdeveloped Areas in Indonesia
Authors: Artiyati Niki , Ahdika Atina
Published: July 2024

Development disparity is one of the common issues in developing countries, including Indonesia. According to Presidential Regulation of Indonesia Number 63 year 2020, several regions classified as underdeveloped from 2020 to 2024 are located in Sumatra, Nusa Tenggara, Sulawesi, Maluku, and Papua. Determining underdeveloped areas can be assessed through underdeveloped area indicators. The objective of this research is to ascertain the classification of underdeveloped areas in Indonesia based on seven underdeveloped area indicators in 2022. One of the methods that can be used for classification is Support Vector Machine (SVM). SVM is a supervised machine learning method typically used for classification. The reason for using the SVM method in this research is because SVM has a more mature concept compared to other classification algorithms and can handle both linear and non-linear classification problems. By using the SVM method, it was found that the best kernel function is the RBF kernel function, which can classify with an accuracy rate of 94.17%. There are 6 regencies initially categorized as not underdeveloped becoming underdeveloped based on the result of SVM, namely Situbondo Regency, Bangkalan Regency, Southwest Sumba Regency, Majene Regency, Merauke Regency, and Jayawijaya Regency. Meanwhile, there are no regencies initially categorized as underdeveloped becoming not underdeveloped.
Integrating Heart Rate, Gyro, and Accelero Data for Enhanced Emotion Detection Post-Movie, Post-Music, and While-Music
Authors: Setyawan Hendy , Wijaya Rifki , Kosala Gamma
Published: July 2024

The study investigates the integration of heart rate, gyro, and accelerometer data to enhance emotion recognition across different scenarios like post-movie, post-music, and during music listening. Recognizing the limitations of solely using heart rate data, the research combines gyroscopic and accelerometer data to provide a more comprehensive understanding of emotional responses. Employing machine learning algorithms, notably support vector machines, the aim is to develop robust models for real-time emotion recognition. Conducting rigorous experimental protocols involving motion sensor data from smartwatches, a user study with 50 participants examines emotional responses during activities such as movie-watching and music listening. The dataset includes data from accelerometers, gyroscopes, and heart rate sensors, with additional evaluation metrics to assess the effectiveness of the proposed method in detecting emotional states. The findings demonstrate significant effectiveness of an innovative neural network (NN) method in determining post-activity emotional states, with accuracies ranging from 59.0% to 83.4%, depending on the activity and context. Although NN accuracy is slightly lower compared to other methods like random forest and logistic regression, the differences are not significant, especially when compared to logistic regression. Overall, the research aims to advance emotion recognition technology for applications in human-computer interaction contexts.
Implementasi Algoritma Fuzzy C-Means menggunakan Model LRFM untuk Mendukung Strategi Pengelolaan Pelanggan
Authors: Aini Delvi Nur , Afdal M. , Novita Rice , Mustakim Mustakim
Published: July 2024

The same treatment of all customers will cause customers who are not so valuable to become value destroyers in the concept of Customer Relationship Management. Providing discounts and promos to all customers without differentiating customer segments has not provided significant benefits for a company. These two things are being experienced by BC 4 HNI Pekanbaru, so changes are needed in evaluating the strategies taken to maintain relationships with customers and form segments according to customer characteristics. Customer segments can be analyzed from sales transaction data. The purpose of this study is to manage and group sales transaction data in determining customer segmentation so that the strategy is more targeted. The analysis of customer transaction data was carried out by grouping the data using the Fuzzy C-means algorithm and the length, recency, frequency, monetary (LRFM) model, and AHP weighting.  The formation of the number of validated clusters of the silhouette index and ranking is carried out by multiplying the weight of AHP to find the customer lifetime value (CLV) so that it can be known which customer groups provide high value to the company. The result of this study is that BC 4 HNI Pekanbaru customers are grouped into 2 segments, namely the potential customer group which has a fairly frequent transaction value with an average monetary value of Rp. 2,802,495.00 and a fairly high number of transactions contribute greatly to the Company and the new customer group which means a new customer segment with uncertain funds, an average monetary of Rp. 104,567.00. Based on the segment, BC 4 HNI Pekanbaru can carry out a strategy in managing its customers according to the type of segment generated from this research.
Sistem Deteksi Kosakata Bahasa Isyarat Secara Real Time dengan Tensorflow Menggunakan Metode Convolutional Neural Network
Authors: Widjaya Vincent Surya , Wasito Ito
Published: July 2024

Most people are not used to communicating via sign language because sign language is not a mandatory language to learn so very few people understand how to communicate using sign language. This problem for people with special needs to interact and communicate with other people, especially those who do not understand how to communicate using sign language. Convolutional Neural Network is the method that will be used in this research because this method is one of the deep learning methods that currently provides the best results in object detection. The Convolutional Neural Network method is able to imitate human abilities in the image recognition system of the human visual cortex, so that it is able to process visual information. This research used Tensorflow to develop various models as well as work related to other statistical analysis. The evaluation metrics results obtained from this research show precision of 82.99%, recall of 84.42% and f1-score of 83.68%. The value of average precision is 0.830% and average recall is 0.844%. There is also a loss value produced by this model of 0.039065. For accuracy results from real time sign language detection, the accuracy value was 94.64%.
Analisis Sentimen Pengguna Twiter terhadap Perubahan Kebijakan Skripsi sebagai Syarat Wajib Kelulusan menggunakan Metode Naïve Bayes Classifier
Authors: Hablinawati Laela , Dzikrullah Abdullah Ahmad
Published: July 2024

The Minister of Education, Culture, Research, and Technology, Nadiem Makarim, has issued a policy to abolish theses, dissertations, or final papers as mandatory graduation requirements for undergraduate and postgraduate students in universities. The requirement to write a thesis is still enforced in most universities in Indonesia to obtain a bachelor's degree. The advancement of information system technology and the ease of accessing social media have caused news to spread rapidly. This policy has sparked pros and cons among the public, including on the social media platform X (formerly Twitter). Some people agree with it, considering that it can reduce the burden on students and increase the relevance of higher education to the needs of the job market. However, others argue that abolishing theses could lower the quality of university graduates and that the replacement could be even more burdensome. The purpose of this research is to understand Twitter users' sentiments towards the policy of abolishing theses as a graduation requirement and to determine the accuracy of the Naïve Bayes Classifier in classifying these sentiments. The data used consists of 656 tweets, which were processed through several stages, including cleaning, case folding, normalization, stopword removal, tokenizing, and stemming. The data was then labeled using a lexicon-based approach, resulting in 353 negative labels and 273 positive labels. The data was subsequently weighted using TF-IDF for the classification process. The dataset was split into training and testing data with a ratio of 90:10. After classification, the study found that the Naïve Bayes Classifier successfully categorized sentiments with an accuracy of 76%.
Perbandingan Algoritma Naïve Bayes dengan K-Nearest Neighbor Untuk Analisis Sentimen Aplikasi InDrive di Playstore
Authors: Irfan Muhammad , Erizal Erizal
Published: July 2024

Transportation is already part of the main needs in moving from one place to another. One of them is land transportation which is the most widely used in daily needs. There are various technology companies that are competing to create online-based transportation, one of which is inDrive. Of the several online transportation services, inDrive has a different system that can negotiate or bargain for transportation rates directly. it is interesting to do an analysis to find out whether the system is worth maintaining or it will get constructive criticism so that in the future it can improve the quality of the inDrive application. Review or comment data taken from google play through google colab as much as 1200 data and processed using RapidMiner. Testing is carried out in two stages, namely training data and testing data, training data that is greater than testing data will affect the accuracy of a method. The purpose of this research is to see various positive and negative reviews in the inDrive application and make a comparison between the Naïve Bayes method and K-Nearest Neighbor with the results of 97.50% accuracy, 92.71% precision and 100% recall for Naïve Bayes. While accuracy 83.21%, precision 85% and recall 57.30% for KNN, from these results it can be concluded that the Naïve Bayes method has superior accuracy in making classifications.
Sentiment Analysis of Lazada Product Reviews using Convolutional Neural Network and Naïve Bayes Models
Authors: Siddiq Ikhsan Maulana , Lhaksmana Kemas Muslim
Published: July 2024

Lazada is one of the biggest marketplaces in Southeast Asia. One of the main features of Lazada is product reviews, any customer who has purchased and used a product from Lazada can provide reviews and ratings on the ones that have been purchased. Sentiment analysis on product reviews can help improve product and service quality, increase customer satisfaction, and improve purchasing decisions. Doing sentiment analysis of product reviews aims to help customers how to feel about the product, reading and analyzing each review manually is very not efficient. Sentiment analysis can automate handling large volumes of data quickly and accurately. In this research, using Lazada product review dataset to analyze sentiment by comparing Convolutional Neural Network (CNN) and Naive Bayes. CNN and Naive Bayes are two common methods used in text analysis and a comparison of their performance can provide the effectiveness of each in analyzing product sentiment. In this study, the authors propose to analyze the sentiment of product reviews using deep learning algorithm with CNN method. The results of this study explain that the CNN method can provide satisfactory results than Naive Bayes. Based on the overall evaluation, CNN gets an accuracy value of 99.31%, precision of 99.31%, recall 99.31%, and f1-score of 99.31%, while Naive Bayes gets the highest accuracy rate of 96.16%, precision 96.34%, recall 96.16%, and f1-score 96.16%.
Penerapan Model Hybrid Convolutional Neural Network dan Long Short-Term Memory untuk Pengenalan Real-Time Sistem Isyarat Bahasa Indonesia (SIBI)
Authors: Hidayat Syahrul , Via Yisti Vita , Mandyartha Eka Prakarsa
Published: July 2024

The Indonesian Sign Language System (SIBI) is an essential means of communication for the deaf and speech-impaired community in Indonesia. However, the limited public understanding of SIBI often hinders effective communication. This study develops a real-time SIBI sign recognition model to facilitate effective communication for the deaf and speech-impaired in Indonesia. The proposed method integrates a hybrid CNN-LSTM model to process the spatial and temporal information from the data. The study evaluates the model's performance on 25 types of SIBI signs. The dataset used consists of image sequences captured in real-time. Training is conducted with various parameters, including batch size, learning rate, and epochs. Model evaluation is carried out using accuracy, precision, recall, and f1-score metrics. The training and validation results show an increase in accuracy with the number of epochs: 87% at 10 epochs, 93% at 25 epochs, and 100% at 50 epochs. In real-time detection tests, the model with the image sequence dataset accurately detected SIBI signs in environments and with objects consistent with the dataset. The real-time detection program generates SIBI sign predictions in text form and sentences. The output of this research is efficient and accurate SIBI sign recognition technology. This research is expected to facilitate more effective communication for the deaf and speech-impaired community in Indonesia.
Analisis Sentimen Masyarakat Terhadap Presiden dan Calon Presiden Terpilih 2024 Menggunakan Naïve Bayes
Authors: Yusrizal Muhammad , Sasongko Theopilus Bayu
Published: July 2024

It has been more than 4 months since the KPU announced the results of the general election on Wednesday, 20 May 2024. With the election of pair number 2 as President and Vice President of the Republic of Indonesia for the 2024-2029 period, various public opinions, both positive and negative, emerged on Twitter. The main problem faced in this research is knowing the dominant sentiment of society towards Prabowo Subianto and Gibran Rakabuming after their election, whether negative or positive sentiment dominates. If you look at it with the naked eye, there are indeed many negative sentiments written by netizens through their tweets on Twitter. This research aims to analyze the sentiment of the Twitter community towards these two figures. Data collected through data crawling using tweet-harvest was 1520 tweets with several keywords such as Prabowo, Wowo, Minister of Defense, Gibran, and Samsul. The stages carried out on the data include preprocessing, translating, labeling, splitting the data, and applying the Naive Bayes algorithm. The analysis results show that positive sentiment is 39.02% and negative sentiment is 60.98%, with an accuracy value of 75%. With detailed values of 79% precision, 80% recall and 80% f1-score. It is hoped that this research will provide an overview of public opinion towards the elected President and Vice President as well as provide evaluation material for them and their supporting political parties to increase positive sentiment in the future.
Implementasi Algoritma Naive Bayes Terhadap Klasifikasi Jenis Pertanyaan Pada Perancangan Chatbot Untuk Aplikasi Penjualan Songket
Authors: Salamah Irma , Suroso Suroso
Published: July 2024

Rapid developments in science and technology have had a significant impact on all aspects of people's lives, especially in business. E-commerce has become a popular choice among internet users in Indonesia, including MSMEs. However, conventional sales of songket products still limit product reach and competitiveness. In addition, the sales process generally provides customer service in charge of interacting and serving customer inquiries that can be contacted via telephone number. However, it is considered less effective because the seller has difficulty when responding to various questions from customers, so customers have to wait to get answers regarding the information needed. Therefore, the purpose of this research is to design a chatbot for songket sales applications using the naive bayes algorithm in classifying the types of customer questions, to improve the efficiency and effectiveness of interactions between sellers and customers, and expand the market reach of songket products. This chatbot is designed to simulate interactive conversations and provide sales information to customers quickly and efficiently. The naive bayes algorithm was chosen due to its ease of implementation and high accuracy in text classification. In this study, the chatbot was tested with various types of user questions with 5% of the total 50 questions as testing data. The test results show that the chatbot can classify the type of question with an accuracy of 90% and a precision value of 94%, recall 92%, and F1-Score 92%. In addition, testing of the application system as a whole shows that the application and chatbot are able to provide appropriate and efficient responses to various user questions. With this system, it is hoped that a technology-based solution can be realized that can improve the sales process and customer interaction with sellers, and increase the business potential of traditional songket craftsmen.
Pengajaran Bahasa Inggris Melalui Running Dictation Game di SMP Swasta Sinar Husni Medan
Authors: Anggraini Risa , Lumbangaol Reni Rosianna , Mahmud Annisa
Published: July 2024

Mengetahui pentingnya kegunaan bahasa, siswa harus mampu menguasai bahasa Inggris supaya mereka bisa berperan dalam era globalisasi dimana hampir semua bidang industri menggunakan Bahasa Inggris. Hal ini berbanding terbalik dengan kemampuan bahasa Inggris siswa itu sendiri, banyak siswa tidak memiliki kemampuan bahasa Inggris yang baik. Salah satu faktornya yaitu siswa merasa bosan dan tidak tertarik untuk belajar karena pengajaran yang dilakukan sangat monoton. Siswa merasa belajar bahasa Inggris itu sulit dan ditambah dengan cara mengajar guru yang tidak bisa menarik minat siswa. Salah satu solusi yang bisa dipilih yaitu dengan mengimplementasikan game (permainan). Running Dictation Game adalah salah satu tekhnik pembelajaran yang sangat dianjurkan untuk diaplikasikan oleh guru bahasa Inggris didalam kelas mereka. Ada 30 siswa kelas VIII.3 SMP Swasta Sinar Husni Medan yang terlibat sebagai peserta dalam kegiatan Pengabdian kepada Masyarakat ini. Berdasarkan hasil setelah dilakukan pengajaran menggunakan Running Dictation Game, siswa termotivasi untuk belajar Bahasa Inggris lebih giat lagi. Siswa merasa belajar Bahasa Inggris melalui Running Dictation Game ini sangat menyenangkan. Mereka merasa seperti sedang tidak belajar karena kegiatan pembelajaran berlangsung sangat seru.
Pemanfaaatan Teknologi Untuk Berinvestasi Pada Karang Taruna Juara Kampung Gondrong
Authors: Agrifianto Daffa , Kurniawan Syahdan Rinaldi , Jumaryadi Yuwan
Published: July 2024

Pemanfaatan teknologi dalam berinvestasi merupakan hal yang semakin diminati oleh masyarakat, terutama di era digital saat ini. Pemanfaatan teknologi ini memberikan kesempatan bagi masyarakat untuk berinvestasi dalam proyek sosial yang memberikan dampak positif bagi masyarakat sekitar. Dalam pemanfaatan teknologi untuk ber-investasi memberikan kemudahan bagi masyarakat untuk melakukan investasi. Masyarakat dapat melakukan investasi dengan nilai yang relatif terjangkau, serta memantau dan melacak investasi mereka secara mudah melalui aplikasi yang tersedia.    Selain itu, pemanfaatan teknologi untuk ber-investasi pada masyarakat Karang Taruna Juara Gondrong juga memberikan manfaat bagi masyarakat dalam hal transparansi dan akses informasi. Masyarakat dapat melihat secara jelas laporan keuangan proyek sosial yang didanai melalui platform ini, serta memperoleh informasi terkait proyek sosial yang didanai sehingga mereka dapat mengetahui tujuan investasi mereka dan dampak positif yang akan diberikan pada masyarakat sekitar. Namun, perlu diingat bahwa investasi secara digital tetap memiliki risiko seperti investasi pada umumnya. Oleh karena itu, masyarakat harus memahami risiko dan potensi keuntungan yang dapat diperoleh serta melakukan analisis yang matang terhadap proyek sosial yang akan didanai. Secara keseluruhan, pemanfaatan teknologi dalam investasi untuk masyarakat Karang Taruna Juara Gondrong memberikan solusi alternatif bagi masyarakat yang ingin berinvestasi secara mudah dan terjangkau, sambil turut serta dalam pengembangan proyek sosial yang memberikan dampak positif pada masyarakat sekitar. Dengan pemanfaatan teknologi, masyarakat dapat melakukan investasi secara efisien dan efektif sehingga potensi keuntungan dapat lebih optimal dan dampak positif pada masyarakat sekitar dapat semakin terasa.
Metode Mewarnai Untuk Menurunkan Stres dan Kecemasan Pada Pendamping Pasien (Caregiver)
Authors: Vereswati Hermiana , Nawangsih Sri Kandariyah , Sari Dewi Puspita
Published: July 2024

Peran keluarga sangat penting bagi pasien, baik dari segi fungsional, fungsi sosial, maupun untuk mengurangi tekanan psikologis yang dialami pasien. Beban yang muncul dapat menjadi pemicu terjadinya gangguan seperti kesulitan tidur dan konsentrasi, merasa sedih, kesepian, cemas, putus asa, turunnya produktivitas, hilangnya semangat dan nafsu makan, kelelahan, mudah marah, sering menangis, menarik diri dari keluarga atau lingkungan sekitar, hingga masalah kejiwaan seperti depresi dan kecemasan. Kegiatan dilakukan pada empat caregiver di rumah singgah IZI Semarang dan empat caregiver dari rumah pribadi. Metode kegiatan yakni mewarnai bebas bentuk sebagai sarana katarsis bertujuan untuk menurunkan tingkat kecemasan dan stres yang dihadapi pendamping pasien. Kondisi menunjukkan mayoritas pasien menderita penyakit kanker sebesar 50% dan masih menjalani pengobatan kemoterapi. Pasien sudah menjalani pengobatan selama 1 – 3 tahun sebesar 87,5%. Penghasilan pendamping pasien kurang dari dua juta per bulan sebesar 87,5 dan tidak memiliki penghasilan sebesar 37,5%. Hasil menunjukkan kegiatan mewarnai menjadi sarana katarsis. Kegiatan mewarnai memunculkan imajinasi yang dapat mengalihkan pikiran dari rutinitas sehari-hari, mengingatkan pendamping pasien pada cucu, mengungkapkan harapan akan kesuksesan dan keberhasilan hidup, perasaan senang atas hasil karya mewarnai, Perasaan lega atau terhibur, ungkapan kesedihan atas ujian hidup. Mayoritas tingkat kecemasan menjadi rendah namun tingkat stres pada kategori sedang. Kondisi stadium penyakit pasien yang bervariasi berpengaruh pada psikologis pendamping pasien.
Некоторые превращения 2-тиоксо-2,3-дигидро-1H-спиро[бензо[h]хиназолин-5,1’-цикло-гептан]-4(6H)-она, антибактериальные и противоопухолевые свойства синтезированных соединений
Authors: Маркосян Ашот Ишханович , Айвазян Ани Сережаевна , Габриелян Сирануш Амбарцумовна , Мамян Сурен Сережаевич , Айвазян Армен Григорьевич , Авакимян Джульетта Ашотовна , Арсенян Флора Гайковна
Published: July 2024

При конденсации 2-тиоксо-2,3-дигидро-1H-спиро[бензо[h]хиназолин-5,1’-циклогептан]-4(6H)-она с 2-аминоэтанолом и 3-аминопропанолом были синтезированы 2-[(2-гидр- оксиэтил)амино]-3H-спиро[бензо[h]хиназолин-5,1’-циклогептан]-4(6H)-он и 2-[(3-гидр- оксипропил)амино]-3H-спиро[бензо[h]хиназолин-5,1’-циклогептан]-4(6H)-он, соответственно. Взаимодействием вышеуказанного тиоксохиназолина с 2-хлорметилбензохиназолинами различного строения получены дибензохиназолиновые системы, соединенные во втором положении -SCH2-линкером. Выявлено, что при использовании метиленйодида получается 2,2’-[метиленбис(сульфандиил)]бис(3H-спиро[бензо[h]хиназолин-5,1’-циклогептан]-4(6H)-он, а использование 1,2-дибромэтана, этилового эфира 2,3-дибром- уксусной кислоты и 1,3-дибромпропана приводит к получению 9,10-дигидроспиро[бензо[h]тиазоло[2,3-b]хиназолин-6,1’-циклогептан]-7(5H)-она, этил-7-оксо-5,7,9,10-тетрагидроспиро[бензо[h]тиазоло[2,3-b]хиназолин-6,1’-циклогептан]-9-карбоксилата и 10,11-дигидро-5H-спиро[бензо[h][1,3]тиазино[2,3-b]хиназолин-6,1’-циклогептан]-7(9H)-она, соответственно. Установлено, что изученные соединения по активности заметно уступают противомикробному препарату сравнения — фуразолидону. Изученные соединения в дозах 150 – 185 мг/кг проявляют противоопухолевое действие, угнетая рост опухоли у мышей на 20 – 40 %.
Development and properties of new powder materials
Authors: Hlushkova Diana
Published: July 2024

Problem. The study analyzed powder materials to obtain wear-resistant coatings. Field tests for wear resistance were conducted using the method of friction between two surfaces. The tests were carried out on the universal test bench SMC-2 at a rotation speed of 200 rpm. A pressure of 100 kgf was applied to the test sample. Goal. The wear resistance test cycle comprised 200,000 revolutions, with lubrication provided through the drop method. Special powders were used in the experiment, including PG-SR3, PN55T45, and PR-Ni70Cr17S4R4 + 20% PT-Al5N with a PT-Al5N under layer. Methodology. The selection of wear-resistant coatings was based on the analysis of the following properties: adhesion strength of the coating to the base material, wear resistance of the coatings, hardness, and porosity. Results. Metallographic analysis of the structure of plasma coatings obtained from powders PG-SR3, PN55T45, and PR-Ni70Cr17S4R4 + 20% PT-All5N with three different plasma heater power levels (10 kW, 15 kW, and 20 kW) indicated that the densest and most reliable coating among those studied is the coating made from PR-Ni70Cr17S4R4 + 20% PT-Al5N powder. Practical value. Therefore, there is no need to increase the heater power beyond 15 kW when spraying this type of powder. The research concluded that when obtaining wear-resistant coatings, the optimal choice is PR-Ni70Cr17S4R4 + 20% PT-All5N powder with a PT-Al5N under layer.
Examination of The Attitudes of Assistant Physicians to Brain Drain In Health Services
Authors: Doğanyiğit Pelinsu Buket , Dikmetaş Yardan Elif
Published: July 2024

Aim: The aim of this study is to determine the attitudes of resident physicians towards brain drain and to examine whether attitudes towards migration make a difference on the socio-demographic characteristics of the participants.
Methods: As a data collection tool, the Attitude Scale Towards Brain Drain developed by Öncü et al. (2018), a questionnaire form containing questions about the socio-demographic characteristics of the participants, their occupations and their evaluations about health brain drain were used. The research was carried out with 232 assistant doctors working in a university hospital serving in Turkey. Data were collected using face-to-face survey method with healthcare professionals. In the analysis of the data, descriptive statistical methods, t-test for independent samples and one-way analysis of variance (ANOVA) were used. The results were evaluated within the 95% confidence interval.
Results: According to the results of the study, it was found that 67.7% of the residents wanted to immigrate to another country. There is no statistically significant difference between the participants' gender, age, marital status, income, branch, working hours and years, and brain drain attitudes.
Conclusion: It has been found that the occurrence of violence in health increases health migration in our country and migration will be prevented by creating appropriate working hours and conditions.
Biocultural Synthesis of Adolescence: A roadmap to advance the field
Authors: Glass Delaney J , Emmott Emily H
Published: July 2024

Adolescence is an expansive, dynamic period in the life course covering a broad age range (ages 10-24) and a cascade of biological and cultural changes. However, biocultural approaches to adolescence have been less well developed within existing research compared to child and adult counterparts. In this article, we advance a roadmap to revisit received wisdom about adolescence and to push the study of adolescence forward rooted in biocultural frameworks. Drawing on existing biocultural and anthropological work, we present three main opportunities to challenge assumptions, embrace adolescent diversity, and innovate biocultural methods in the study of adolescence. We invite readers to reflect upon this synthesis in their future studies with and among adolescent populations in varied socioecological milieus.
Exploring the association between the presence and characteristics of pain and lifetime depression in adolescents: A cross sectional ABCD study analysis
Authors: Tagliaferri Scott , Nguyen Josh , Han Laura K.M. , Cotton Sue M. , Menssink Jana , Ratheesh Aswin , Noel Melanie , Schmaal Lianne
Published: July 2024

IntroductionDepression and pain co occur, even during adolescence. However, there is limited knowledge on the association between pain and lifetime depression in community samples, and which biopsychosocial factors are associated with this co occurrence. MethodsCross sectional analysis of the Adolescent Brain and Cognitive Development (ABCD) two year follow up. We explored associations between the presence and characteristics of pain (intensity, duration, activity limitations, and number of pain sites) and lifetime depression using logistic regression. We explored associations of brain structure, physical, behavioural, emotional, social, and cognitive factors with lifetime depression and pain compared to having had one or neither condition using multinomial logistic regression. ResultsA total of 5,211 adolescents (mean age=12.0 years) who had: (1) no lifetime mental ill health and no pain (n=3,327); (2) pain only (n=1,407); (3) lifetime depressive disorder but no pain (n=272); and (4) lifetime depressive disorder and pain (n=205) were included. Pain presence was associated with lifetime depression (OR[95%CI]: 1.76 [1.45, 2.13], p<0.001). Pain-related activity limitations (1.13 [1.06, 1.21], p<0.001) and the number of pain sites (1.06 [1.02, 1.09], p<0.001) were associated with lifetime depression. Various behavioural, emotional, social, and cognitive, but not brain structure or physical factors, were associated with lifetime depression and pain. LimitationsFuture longitudinal analyses should validate the benefit of prognostic markers on predicting co occurring depression and pain. ConclusionsThese results support an association between the presence and characteristics of pain and lifetime depression during adolescence, and the need for more integrated clinical care of youth experiencing both depression and pain.
Implicit Encoding of Social Perceptions: Modeling Eye-Gaze, Pupillary, and Neuronal Responses to Faces
Authors: Anqi Mao , Cao Runnan , Sun Sai , Wang Shuo , Oh DongWon
Published: July 2024

Faces convey a wealth of social information, guiding human interactions and decisions. Using data-driven modeling, we identify facial features that influence physiological responses—including eye-gaze, pupillary, and neuronal activities—and demonstrate how these responses reflect underlying social judgments. First, fixation durations on the eye region increase for faces perceived as having negative and high-power traits (Preliminary Study, Study 1). Second, variations in pupil size represent both valence and power dimensions of social trait space (Preliminary Study, Study 1). Notably, in socially anxious individuals, pupillary reactions exhibited heightened sensitivity to valence perceptions, further supporting the involvement of high-level social information processing that was reflected in pupillary responses (Study 1). We also demonstrate the encoding of social perceptions in neuronal responses. The amygdala primarily encoded valence perceptions, with decreased neuronal activity when viewing the mouths of faces perceived as positive (e.g., competent, extraverted) (Study 2). The hippocampus, in contrast, showed a feature-invariant encoding of both the power and valence dimensions of social space, and was involved in modulating eye movement planning during face evaluations. (Study 2). These results reveal how face-based social perceptions are implicitly encoded in nondeliberate, immediate physiological reactions to social stimuli.
Mesoscale fractures control the scale dependences of seismic velocity and fluid flow in subduction zones
Authors: Akamatsu Yuya , Okuda Hanaya , Kitamura Manami , Sawai Michiyo
Published: July 2024

Natural geological systems contain porosity structures of various scales that play different roles in geophysical properties, fluid flow, and geodynamics. To understand seismic activity associated with high pore-fluid pressure and fluid migration in subduction zones, it is necessary to explore the scale dependence of geophysical properties such as seismic velocity and permeability. Here, we compare laboratory-measured ultrasonic velocity (1 MHz) measured on core samples from the Susaki area in the Shimanto accretionary complex, SW Japan, with sonic velocity (15 kHz) measured by borehole logging experiments. Results show that P-wave velocity decreases from the laboratory (~6 km/s) to the borehole scales (~5 km/s). This scale-variant effect can be explained by a differential effective medium model whereby mesoscale porosity that is undetectable at the ultrasonic wavelength is introduced into the matrix phase with microscale porosity. Assuming typical apertures for micro- and mesoscale fractures, we estimate that the effective permeability can increase to 10–12–10–11 m2 with increasing in the mesoscale porosity and decreasing P-wave velocity down to 4–5 km/s. These results indicate that seismic velocity anomalies and related seismic activity are associated with the presence of mesoscale fractures in subduction zones.
From Cultural Awareness to Integration: Faculty Attempt to Incorporate the Outside-of-School Geometry into Geometry Teaching
Authors: Kyeremeh Patrick , Awuah Francis Kwadwo , Orey Daniel Clark
Published: July 2024

Research has revealed a deficiency in cultural congruence in the pedagogy and acquisition of geometrical knowledge as the cause of students’ poor performance in geometry. Drawing upon the historical context of mathematics education and its evolution, incorporating ethnomathematical perspectives was introduced as a potential remedy. This embedded mixed methods study explored how mathematics teacher educators incorporate the mathematics found outside of school into geometry teaching in the classroom. Eight mathematics teacher educators were included in the qualitative phase through purposive and convenience sampling. The qualitative data obtained through classroom observation was analyzed using reflexive thematic analysis. On the other hand, 128 mathematics teacher educators were included in the quantitative phase through cluster and quota sampling. The quantitative data obtained through the survey was analyzed using the Mann-Whitney U test. Based on the findings, male and female mathematics teacher educators at the colleges of education tend to employ culturally responsive teaching (a pedagogical perspective of ethnomathematics) to integrate the mathematics found outside of school into geometry teaching in the classroom. Nonetheless, only a few mathematics teacher educators (one from each case) strove to incorporate the forms of mathematics found outside of school to teach plane geometry by citing appropriate cultural examples. Implications for teaching and future research are reported.
From Contestation to Camaraderie: Structural Similarity Dampens Derogatory Discourse in Polarized Social Groups
Authors: Yeaton Matthew , Anshuman Sarayu , Srivastava Sameer
Published: July 2024

Partisan animosity has been on the rise around the world and has been linked to such consequential outcomes as political violence. It is especially prevalent in online social interactions and frequently results in derogatory discourse. The authors develop a novel theoretical account of the network-structural antecedents of derogatory language use. In polarized online groups, they hypothesize that the greater the structural similarity between two individuals, the less will be their likelihood of using derogatory language with one another. They further argue that this relationship will be moderated by the degree of group polarization. Using a node embedding algorithm (i.e., node2vec) to derive an omnibus measure of interpersonal structural similarity, they find support for the theory using a dataset that encompasses more than 25 million comments made by over 1.7 million users in six polarized communities on Reddit. They discuss implications for research on partisan animosity, group polarization, the measurement of structural similarity, and the interplay of structure and culture.
Exploring Geometry Found Outside of School: Insights from Faculty Perspective
Authors: Kyeremeh Patrick , Awuah Francis Kwadwo , Orey Daniel Clark
Published: July 2024

Many mathematics teachers and educators hold the belief that mathematics is culture-free. In contrast, school mathematics is a human endeavor present across human civilizations and cultural practices. Prior research has noted the absence of cultural context in teaching Euclidean geometry to be the cause of students' decreased motivation and difficulties in learning the subject. This multiple case study aimed at exploring the forms of mathematics found outside of school that can be incorporated into Euclidean geometry teaching in the Ghanaian college classroom. Eight mathematics teacher educators were included in the study through purposive sampling. The data obtained through interviews and focus groups were analyzed using reflexive thematic analysis. The findings revealed five emerging themes: geometry in architecture, cultural artifacts, cultural activities, craftworks, and animals and plants. The findings present the opportunity for teachers, educators, and curriculum developers to draw from and expand resources to teach and learn mathematics more meaningfully. The findings would help key actors of mathematics education to re-examine their beliefs and practices about what counts as legitimate school mathematics, specifically geometry, and propel them to tailor mathematics curriculum and instruction in such a way that builds on students’ socio-cultural experiences.
Status of Organizational Justice Dimensions: Evidence from Banks and Insurance Companies
Authors: Parajuli Dilip , Shrestha Prakash
Published: July 2024

This study examines the current state of organizational justice based on the perspectives of managers and employees in Nepalese banks and insurance companies. It also examines the differences in organizational justice dimensions. It uses a survey method, with questionnaires serving as the major tool. A total of 480 questionnaires (30 in each of the 16 institutions, including 8 commercial banks and 8 insurance companies) were distributed, and 327 (68.10%) of the completed and returned copies were used for the study. The findings demonstrate that employees generally rate their job schedule as adequate, their income as appropriate, and their workload and job requirements as reasonable. The findings indicate that employees have a positive perception of procedural justice. They also indicate that employees believe management treats them with respect, dignity, and honesty. The results suggest that the three dimensions of organizational justice differ significantly among Nepalese respondents. However, all three justice dimensions are crucial for organizational success. Therefore, companies' primary priorities should be to improve organizational justice. They should motivate employees to put up a significant effort for the benefit of the companies.
Language Analysis of Science and Technology Textbook in Nepal: A Semiotic Perspective
Authors: Parajuli Dilu Ram
Published: July 2024

This article has analyzed the semiotic aspects of grade 10 Science and Technology subjects’ textbook implemented in Nepal. The main objective of this study was to explore the kind of figures, pictures, symbols, graphs and other signs used in science textbook. It examined how the figures and signs used in the book effect on science learning. It has been carried out in a qualitative design because it is developed on critical logic and argumentative analysis. Theoretically, this work believes on Peirce’s semiotics. Figures, pictures, symbols, graphs and other kind of signs used in this subjects’ textbook act as data in this study. The meaning-making process includes qualitative and critical analysis. It combines signs from several contexts, meaning, abbreviation including the verbal semantics of speech, and the operational system. And, its result was summarized in overall synopsis of content related aspect and pedagogical techniques and practices correspondence with relevancy and misconception. The result show that the use of visual materials, such as graphs, symbol, pictures, figure, etc. in science textbooks can serve as semiotic signs that induce argumentative reasoning and contribute to the structure of scientific arguments in science classroom. It provides good insights into the representation of multiple mode of representation, scientific influences, and the use of visual materials to enhance scientific literacy however it needs to uplift.
Role of Collaborative Learning for Developing Speaking Skills of Secondary Level Students
Authors: Rai Himan
Published: July 2024

Collaborative learning is an engaged learning of the students in which two or more students work together for the same purpose. However, research on the role of collaborative learning in developing language skills of the students have not been taken in a greater extent in the context of school education. In this regard, the present study aims to explore the role of collaborative learning for developing speaking skill of secondary level students and to examine the collaborative learning culture among the secondary level students. Keeping the objectives into consideration, forty secondary level students were selected as the sample by using purposive non-random sample strategy. The data, which was collected by using close ended questionnaires, analyzed and interpreted descriptively. The results of the study show that collaborative learning has constructive role for developing students’ language skills, social skills and personal skills. In the opinion of the students, collaborative learning engaged them in meaningful interaction. Though the students realized the constructive role of collaborative learning, they had a little practice of collaborative learning. They had group discussion to solve problem, peer work and some collaborative projects as the part of collaborative learning practices.
New Hampshire
Authors: Smith Sharda Jackson
Published: July 2024

This State of the States issue covers the education funding environment for New Hampshire. Funding priorities for P-12 and higher education, changes to the funding formula for P-12 education, pressing state issues affecting P12 and higher education funding, topics exclusive to P-12 are assessed. State per-pupil expenditures, allocation of state dollars, and the percent of the state budget for P-12 and higher education is identified.
Three new records to the flora of United Arab Emirates: Dactyloctenium australe Steud. (Poaceae) and two varieties of Neurada procumbens L. (Neuradaceae)
Authors: Mahmoud Tamer , Gairola Sanjay
Published: July 2024

Based on our recent field surveys, three new records, that had not previously been recorded in flora of the United Arab Emirates (UAE) were discovered. The new records are Dactyloctenium australe Steud. (Poaceae) recorded from Al Bidiyah in Fujairah, and two varieties of Neurada procumbens L. (Neuradaceae), namely, N. procumbens var. stellata and N. procumbens var. al-eisawii, from Hamdah and Al Dhaid area in Sharjah. Detailed morphological examination of these species was carried out and brief descriptions, phenology, photographs, and distribution map is provided.
Revived after two centuries of oblivion: Jean Etienne Duby’s visit to Sicily (1829–1830)
Authors: Pasta Salvatore , Jeanmonod Daniel
Published: July 2024

The analysis of the labels of Jean Etienne Duby’s exsiccata kept in the Candolle herbarium has brought to light some previously unpublished information on his botanical journey to Sicily and some of its satellite islands, carried out between 1829 and 1830.
Pelatihan Penggunaan Formulasi Excel Untuk Pendataan Administrasi Pada UKKT Mampang Prapatan Jakarta
Authors: Pudjiarti Eni , Rudianto Biktra , Faizah Siti , Sofica Verra
Published: July 2024

The use of computer applications almost all office work requires it.The development of technology, especially computer applications today is very helpful in administrative data processing, so that the data obtained can be arranged neatly and easy to understand. One of them is administrative data processing at UKKT RW.06 which requires an application that supports so that the data displayed can be understood because currently some of the administrative data displayed is still fairly manual, use of Microsoft Office applications, especially Ms. Excel on Coral data processing. The cadets are still not being used optimally because some of the Karang Taruna administrators still do not understand the use of the application used. Microsoft Excel itself is a software application that is used to process, store, and combine data in the form of formulas. Data that can be processed, namely, digital data in the form of calculation results and diagrams. This software has a special role in office area. Matters related to office data will be processed as well stored briefly and in detail in Microsoft Excel. The method used in provide education about the basic use of formulas in Microsoft Excel carried out by holding workshops on community service activities so that participants consisting of Karang Taruna administrators who will process administrative data UKKT RW.06 will be more familiar with the use of the Microsoft Excel Application for help process administrative data to make it more neat and easy to understand.