bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neural Machine Translation from Bengali Language to English language and vice-versa
Authors: Arindam Roy Et al. 
Published: January 2024

Bengali ranks among the first ten spoken languages in the world with a native speaker numbering about 230 million people. With UNESCO declaring 21st February as International Mother Language Day to commemorate the laying down of lives by five Bangladeshi students for the cause of their mother tongue, Bengali has come into the radar of worldwide attention . Though significant amount of prose, poetry have been written in Bengali language and large number of newspapers in Bengali get published daily, technically it is still considered a Low Resource Language (LRL) unlike English or French which are High Resource Language (HRL). The reason is not far to seek as corpora in varied domains such as short stories, sports, politics, agriculture etc is less in number and even when they are available, the size is less. Machine translation (MT) is difficult to perform in Bengali as parallel corpora from Bengali to other languages and vice versa is few and far between and when they are available they suffer from the problems of size and quality. This work is aimed at implementing one state of the art model in Neural Machine Translation (NMT) which is called the self-attention transformer model to perform translation from English to Bengali and vice versa. Though a couple of research work has been published in the recent years on MT from English to Bengali, they are mostly domain specific. This paper does not focus on any specific domain for NMT from English to Bengali and as such may be conceived as a more of general domain NMT from English to Bengali which is more difficult than domain specific NMT. Performance evaluation of the model was done using BLEU version-4 vis-à-vis translations of well known English-Bengali MTsystems.
An Overview of the Different Kinds of Vector Space Partitions
Authors: K. Anuradha Et al. 
Published: January 2024

In a finite vector space V (n,q), where V is n-dimensional over a finite field with q elements, a collection P of subspaces is called a vector space partition. The property of this set P is that any vector that is not zero may be found in exactly one element of P. Partitions of vector spaces have strong ties to design theory, error-correcting algorithms, and finite projective planes.
The first portion of my talk will focus on the mathematical fields that share common ground with vector space partitions. The rest of the lecture will go over some of the most well-known results on vector space partition classification. Heden and Lehmann's result on vector space partitions and maximal partial spreads, as well as El-Zanati et al.'s recent findings on the types found in spaces V(n, 2) for n = 8 or less, the Beutelspacher and Heden theorem on T-partitions, and their newly established condition for the existence of a vector space partition will all be covered. Furthermore, I will demonstrate Heden's theorem about the tail length of a vector space split. Finally, I shall provide some historical notes.
Handling Imbalanced Classes for Model Training in Fake News Detection
Authors: Ashwini Deshmukh Et al. 
Published: January 2024

With the widespread dissemination of news on social media platforms, the propagation of fake news has become a pressing concern. Detecting fake news is crucial to maintaining the integrity of information shared across social networks. This paper presents a comprehensive investigation into the detection of fake news on social media, focusing on the collection of data from both reliable and unreliable sources To build an effective fake news detection system, a diverse dataset encompassing both reliable and unreliable sources is collected. This data collection strategy ensures a comprehensive representation of the information landscape present on social media platforms.The implementation of the bidirectional LSTM with an attention layer is a powerful approach that has shown promising results in various natural language processing tasks, including text classification and sentiment analysis. Its effectiveness lies in its ability to leverage both directional information and attention-driven focus, allowing the model to better understand and interpret the nuances of the input sequence. Calculate the class weights using the inverse of the importance factors to give proper weight to each label. Balancing has been tried with the class weight method the system has given almost 60% accuracy.
Proposal For 6LoWPAN Wireless Network Protocol-Based Street-Light-As-A-Service (SLaaS) Framework To Power Campus Parking Services
Authors: Lokman Mohd Fadzil Et al. 
Published: January 2024

A novel IPv6 Over Low Power Wireless Personal Area Network (6LoWPAN) protocol-based Street-Light-As-A-Service (SLaaS) research framework for an integrated cloud-based smart university campus parking platform is being proposed. The Intelligent Connected Street Light infrastructure currently in existence at University Sains Malaysia (USM) is being redesigned. As part of overall parking proposal, approaching object image and video data are being acquired using a range of sensors, including the passive infrared (PIR) and 3-D Light Detection and Ranging (LIDAR) motion sensors. To acquire and transmit vehicle instrumentation data, ELM327 Onboard Diagnostics 2 (OBD-II) Wi-Fi adapter is being used. For edge computing-based intelligent object detection model processing to synchronize license plate and facial recognition data with USM databases, Nvidia® Jetson Nano is being used. The framework is developed to effect multiple services, including to track and manage university vehicles, to detect and secure pedestrian movement, to trigger lighting commands based on approaching vehicle movement for on-demand parking illumination, to partition digital bounding box perimeter to predict potential vehicle collisions, to detect unregistered and excessive parking time to monitor unattended and illegal vehicles, to enable street-light-located parking-related kiosk services, and consolidate cloud-based human and vehicle data analytics into mobile form-factor dashboards. The proposed design will be evaluated and validated for end-to-end average data propagation rate, data integrity, object-to-human and object-to-vehicle synchronization success rate, electrical power consumption reduction and potential surface attack mitigation and avoidance throughout the network.
Exploring Seasonal Dynamics: Physico-Chemical Traits of Thunga and Bhadra Rivers in Karnataka, India
Authors: Pushparaj Arunachalam, Senthil Nathan Sengottayan Muruganantham Manickam, Amutha Meenakshi Sundaram, 
Published: January 2024

The aim of the present study is to investigate the water quality of the Thunga Bhadra River, a significant tributary of the Krishna River Basin in Karnataka, India.The surface water samples were put through a thorough Physico-Chemical investigation that included significant cations and anions in addition to general characteristics. The Water variables were plottedin spatial map using GIS and analysed by Pearson correlation. The temperature, pH, Dissolved oxygen, Electrical Conductivity, Hardness, Alkalinity, Turbidity, Total solids, Total suspended solids, Total dissolved solids, DO, BOD and COD. Most of the parameters like pH, conductivity, Turbidity; Dissolved solids are high at Bhadra riverduring the Monsoon in India. It is suggested that the Bhadra river possess highly fertile undisturbed water environment value
Early Predication of Diabetes Using Artificial Neural Network
Authors: Prosanjeet Jyotirmay Sarkar, Et al. 
Published: January 2024

Nowadays, the diabetes mellitus disease is increasing rapidly across the world. It is a chronic metabolic disorder, where patients unable to manage their blood glucose levels will lead to heart attack, blindness, renal disease, kidney problems etc. and that causes a lot of deaths per year. Patients need to pay a lot of money to practitioners and medicine for the maintenance of blood glucose level. So, it is necessary to develop a smart and intelligent system based on artificial neural network that can help network early detection of diabetes and be helpful to the practitioner for the early treatment so it can stop the progress of the disease. In this work, a dataset from Pima, India was taken to predict the possibility of diabetes. The objective of the paper was to minimize the error function in neural network training using a neural network model. The average error rate decreases during training and gave an accuracy of 95.93% for the predication of whether a person is diabetic or not.
Artists Embedded in Government: Expanding the Cultural Policy Toolkit
Authors: Taylor Johanna K. 
Published: January 2024

Artists have long worked in fields that are not related to art, instigating innovative ways of working in different institutional contexts from health to business to technology. Civic systems are no exception, with artists spearheading new ways of operating within government agencies. Some artists work covertly, bringing creative methods to traditional civic roles, while others are invited into government agencies in temporary positions as artists in residence addressing specific concerns. As local governments are increasingly challenged to provide services and operate equitably amid eroding public trust, opportunities for cross-sector collaboration uniting artists with government staff are compelling mechanisms for them to cocreate the necessary conditions for systemic change.
The research reported herein explores how artists are engaged in cross-sectoral collaborative models of cultural policy within local governments. Governments already recognize the potential of formal artist residency programs conducted over set periods of time to advance civic goals. In addition, artists have been engaged in this work through informal government partnerships in departments including transportation, parks, and public health. Some collaborations act as applied research enacted internally, bringing more complex understandings of government operations, while others become deep processes of external engagement to expand awareness of local concerns.
This paper presents a framework categorizing the structures in which artists work within government agencies to advance civic goals. The framework is based on research conducted on artists who were embedded in the government across the US from 2020 through 2022. Describing these structures highlights new ways of working within local government that center artists as agents that promote change; this paper lays the foundation for understanding how they operate and delineates opportunities and challenges for the artists and the governments that initiate collaboration. The framework is a foundation for cultural policy makers to evaluate artist in residence in government programs as a cultural policy tool and enable evaluation of the impact of their implementation.
A Comparison of Synthetic and Human Speech: an Evaluation by English as a Foreign Language Students in a Public Costa Rican University
Authors: Charpentier-Jiménez William 
Published: January 2024

El posible papel de audios texto-a-voz (TTS) para usos pedagógicos no ha sido completamente explorado. Este estudio examina las percepciones de estudiantes de ILE acerca de las voces humanas y de inteligencia artificial. Asimismo, explora las opiniones de estudiantes sobre la instrucción de la escucha. Esta investigación se llevó a cabo de abril a setiembre de 2022 e incluyó a 36 estudiantes de ILE matriculados en un Bachillerato en Inglés o Enseñanza del Inglés en una universidad pública costarricense. Se utilizó un modelo cuantitativo de encuestas. El investigador recolectó las respuestas mediante una encuesta diseñada para recabar las percepciones del estudiantado acerca de las voces generadas por computadora, las voces humanas, y la instrucción de la escucha. Los datos fueron analizados de manera cuantitativa utilizando estadística descriptiva. El análisis de los datos indica que: 1) el estudiantado encuentra las voces humanas más atractivas que las voces generadas con inteligencia artificial; 2) el estudiantado considera las voces femeninas más atractivas que las masculinas cuando son generadas por computadora; 3) las voces generadas por inteligencia artificial comparten algunas características que el estudiantado encuentra más atractivas; y 4) las presentes políticas y materiales para la instrucción de la escucha deben ser reexaminadas en el programa de idiomas. Consistente con la literatura revisada, estos resultados demuestran que aunque las voces TTS no llaman tanto la atención del estudiantado como las voces humanas, una parte de la población considera las voces generadas por computadora interesantes. El análisis también sugiere que una parte del estudiantado no puede discernir en su totalidad entre voces humanas y generadas por computadora; por lo tanto, su uso puede ser apropiado en algunos contextos. Finalmente, los resultados confirman que las políticas y los materiales para la enseñanza de la escucha deben ser revisados para mejorar los procesos de adquisición del lenguaje del estudiantado.
Morphological Processes of The Buginese Language in Palu
Authors: Yunidar Yunidar , Safitri Dian , Samad Muhammad Ahsan 
Published: January 2024

This morphology of the Buginese language research aimed to describe the forms of nouns, verbs, and adjectives in the Buginese language in Palu. This research used a descriptive-qualitative method. The data source for this research was the oral text. The techniques of data collection were observation technique, followed by the involved conversation observation technique, the uninvolved conversation observation technique, note-taking and recording techniques. The data were analyzed using matching technique and distributional technique. The results showed that the noun form of the Buginese language consists of basic nouns in concrete form as well as derivative nouns of affixation, reduplication, and compounding noun. Meanwhile, the Buginese verb form consists of basic material and mental verbs, as well as affixation, reduplication, and compounding verbs. In the Buginese language, adjective forms include the basic adjectives of color, size, time, and perception, as well as the derivative adjectives of affixation, reduplication, and compounding.
Human Abuse of Nature and Ecological Repentance in Two Selected Short Stories in Kompas: An Ecocritical Reading
Authors: Caesarine Regina Dhea , Ericha Fransiska , Dewi Novita 
Published: January 2024

Kajian ini bertujuan mendeskripsikan imajinasi krisis lingkungan yang merujuk pada air dan tanah sebagai pemberi kehidupan, alam sebagai objek yang dikuasai oleh manusia, imajinasi pertobatan ekologi oleh tokoh, dan narasi apokaliptik dalam karya sastra. Sumber data penelitian ini adalah cerpen “Ia Tahu Cara Memusnahkannya” karya Sandi Firly (2021) dan cerpen “Simuladistopiakoronakra” karya Seno Gumira Ajidarma (2020) yang bertemakan lingkungan hidup dan wabah. Penelitian ini menggunakan metode kualitatif. Teknik pengumpulan data yang digunakan adalah studi pustaka sebagai serangkaian kegiatan yang berkenaan dengan metode pengumpulan data pustaka, membaca, mencatat, serta mengolah data yang berkenan dengan kasus kerusakan lingkungan. Kajian ekokritik digunakan dalam membedah isu kerusakan lingkungan dan wabah yang terwakili dalam dua cerpen tersebut. Hasil kajian dalam penelitian ini menunjukkan bahwa alam dibayangkan sebagai pemberi kehidupan khususnya komponen air dan tanah. Selanjutnya, alam digambarkan sebagai suatu objek yang dikuasai man usia. Akhirnya, kedua cerita pendek tersebut mewakili imajinasi narasi apokaliptik dan mewakili tokohnya. Hasil penelitian ini dapat membantu pembaca untuk merefleksikan pertobatan ekologis melalui kedua cerita pendek tersebut.
Pemetaan Aksara-Silabel Berbasis Grafem Aksara Bali dalam Kamus Bali – Indonesia Beraksara Latin dan Bali Tahun 2016
Authors: Paramarta I Ketut , Martha I Nengah , Astiti SG. Laksmi Widi Candra 
Published: January 2024

The representation of syllables, which are realized through akshara, often gives rise to ambiguity in their phonological mapping, consequently impacting reading and writing performance.The objective of this study is to describe how syllables are represented by Balinese script graphemes within Balinese-Indonesian dictionaries with Latin and Balinese scripts in 2016. The list of Balinese script entries that make up the Balinese – Indonesian Latin and Balinese Dictionary totals 16,162. The graphemic analysis of each basic shape of the Balinese script (specifically the Wreastra type) employed in the entries is conducted based on linguistic value criteria from Meletis (2019). The validated Balinese script represents language units at the hidden syllable level, allowing for the analysis of phonological syllable structure information based on the Balinese syllable pattern. The research findings indicate that the Balinese script graphemes represent syllables using CV and V patterns. The Balinese script grapheme that represents CV (/Ca/ and /Cә/) is realized by the main consonant grapheme group and its paired variant. Syllables with a V pattern, on the other hand, are formed through a combination of free graphemes representing glottal stop consonants (/ha/) and bound graphemes in the form of diacritics used for vowel markers other than attached vowels, that is ulu /i/, pepet /ǝ/, taleng /e/, taleng tedong /o/, and suku /u/.
Implementasi Aplikasi KBM Sebagai Media Pembelajaran Menulis Cerpen Siswa MTs Al-Amiriyyah Darussalam Banyuwangi
Authors: Istiqomah Fina Zaidatul , Rani Abdul 
Published: January 2024

Penggunaan media pembelajaran memudahkan guru dalam penyampaian proses pembelajaran. Media yang baru dan mudah mampu merangsang siswa dalam menghasilkan hasil pembelajaran yang maksimal. Seperti halnya pemanfaatan media pembelajaran menulis cerpen dengan menggunakan aplikasi KBM. Penelitian ini bertujuan untuk: 1) Mendeskripsikan penerapan aplikasi KBM sebagai media pembelajaran menulis cerpen siswa kelas IX MTs Al-Amiriiyah Darussalam Blokagung Banyuwangi. 2) kekurangan dan kelebihan penerapan aplikasi KBM sebagai media pembelajaran menulis cerpen pada siswa kelas IX MTs Al-Amiriiyah Darussalam Blokagung Banyuwangi. Metode penelitian ini menggunakan jenis Kualitatif dengan pendekatan Studi Kasus. Teknik pengumpulan data yang digunakan observasi, wawancara dan dokumentasi. Sedangkan, analisis data yang digunakan adalah Interaktif Model Milles dan Huberman meliputi: pengumpulan data reduksi data, penyajian data, dan penarikan kesimpulan. Keabsahan data yang digunakan ialah triangulasi metode, teknik dan teori. Hasil penelitian ini adalah dalam penerapannya mempunyai beberapa langkah, di antaranya membuat akun gmail, masuk dalam fitur menulis, desain cerita baru, mulai menulis cerita, publikasi. Adapun, kendala dan solusi dalam proses penerapan aplikasi KBM berbasis web, di antaranya sarana dan prasarana, terbatasnya akses internet dan durasi waktu.
Dinamika Teknologi Kecakapan Hidup Sebagai Sinergi Literasi dalam Mengembangkan Writerpreneur di Forum Lingkar Pena
Authors: Wardani Intan Elok Okti , Cindi Dinda Triana , Mailawati  
Published: January 2024

Kecepatan dan kemutakhiran komunikasi dan informasi menjadi tuntutan di era industri 4.0 terutama transformasional dalam literasi. Dalam pesatnya perkembangan teknologi dan informasi, memberikan dampak pada tatanan sosial masyarakat. Di tengah gempuran teknologi yang pasif, Forum Lingkar Pena mendorong kesadaran dalam mengembangkan literasi sebagai sumber finansial. Lebih lanjut teknologi kecakapan hidup memiliki peran sentral untuk mengembangkan writerpreneur sebagai bagian dari sinergi literasi. Penelitian ini mengkaji bagaimana teknologi melibatkan literasi kecakapan hidup menjadi inti sumber keberhasilan dari profesi penulis di Forum Lingkar Pena dan lapisan masyarakat literat. Hasil penelitian mengandalkan teknologi sebagai media digital yang berperan dalam meningkat produktivitas dan relevansi writerpreneur dan menyebarluaskan kolaborasi literasi dengan santun dalam media sosial.
Penanaman Karakter Bersahabat melalui Cerita Anak Menggunakan Audio Book Difalitera pada Anak Usia 4-6 Tahun
Authors: Mubayyamah  , Ubaidillah A. Shafir , Badrih Moh. , Ambarwati Ari 
Published: January 2024

Penelitian ini bertujuan untuk mendiskripsikan penanaman karakter bersahabat pada anak usia dini melalui cerita menggunakan sastra suara difalitera pada anak usia 4-6 tahun di Bimbingan Belajar Griya Belajar Malang. Desain dalam penelitian ini menggunakan metode kualitatif lapangan dengan teknik pengumpulan data menggunakan observasi, dokumentasi, dan wawancara. Data yang diperoleh adalah hasil wawancara dengan tentor dan wali siswa serta hasil observasi secara langsung, dan dokumentasi pada buku laporan harian aktivitas anak di sekolah. Objek dalam penelitian ini adalah anak usia 4-6 tahun yang melakukan bimbingan Calistung pada bimbingan belajar Griya Belajar Malang. Teknik analisis data dilakukan dengan cara reduksi data, display data dan penarikan kesimpulan . Hasil dalam penelitian ini yaitu deskripsi proses pelaksanaan penanaman karakter bersahabat pada anak usia dini yaitu deskripsi pelaksanaan pembelajaran selama 90 menit yang dibagi dalam beberapa materi yaitu membaca, menulis, berhitung dan menyimak cerita menggunakan sastra suara difalitera. Kemudian terdapat faktor yang menjadi penghambat dan pendukung dalam pelaksaan tersebut yaitu dukungan orang tua, kemenarikan cerita, kondusivitas lingkungan belajar, dan kondisi fisik. berdasarkan penanaman karakter tersebut anak lebih percaya diri kemudian anak juga dapat berkomunikasi dengan baik dengan teman sebayanya maupun teman di lain kelasnya. Implementasi untuk penelitian selanjutnya kajian tentang efektifitas antara cerita berbasis audio dan audiovisual pada anak usia dini untuk menanamkan nilai-nilai kebaikan strategis untuk dikembangkan.
Optimalisasi Penggunaan Teknologi dalam Implementasi Kebutuhan Bahan Ajar BIPA Tingkat Pemula
Authors: Maranta Patrick Fiskhas , B. Widharyanto B. Widharyanto , Setyaningsih Yuliana 
Published: January 2024

Penelitian ini dilatarbelakangi oleh fenomena pembelajaran Bahasa Indonesia Bagi Penutur Asing (BIPA) yang mengalami perkembangan pesat dalam era digital. Namun, terdapat keterbatasan pengembangan bahan ajar terintegrasi teknologi ajar untuk melatih keterampilan berbicara BIPA tingkat pemula di Yogyakarta. Tujuan penelitian adalah untuk mendeskripsikan kebutuhan pembelajar BIPA tingkat pemula di Yogyakarta dalam melatih keterampilan berbicara melalui penggunaan bahan ajar terintegrasi teknologi. Metode penelitian menggunakan pendekatan deskriptif-kualitatif. Data penelitian yang digunakan adalah hasil dari wawancara mendalam kepada pengajar BIPA dan penyebaran angket terhadap pembelajar asing di Yogyakarta. Hasil penelitian mengungkapkan bahwa pembelajar BIPA memiliki kebutuhan beragam materi pembelajaran, konsep, dan integrasi teknologi dan informasi pada materi pengajaran dengan memerhatikan: 1) e-book digital interaktif yang dapat membantu pembelajar untuk melatih keterampilan berbicara, 2) Pemilihan topik pembelajaran yang disesuaikan dengan kebutuhan pembelajar, 3) penggunaan bahan ajar secara mandiri, 4) materi yang dapat mengakomodasi tantangan, gambaran nyata kehidupan sehari-hari, dan variasi multimedia, 5) Beragam topik pembelajaran yang dapat merangsang kognivitas pembelajar.