bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uso da Tecnologia Digital pelos povos indígenas no Brasil: um estudo na Aldeia Kaingang
Authors: Baggio Claudia Carmem , Bisset-Alvarez Edgar , Da Silva Lira Edna Karina , Carvalho da Silveira Paola 
Published: October 2023

Ao pesquisar sobre a tecnologia digital e os povos indígenas Kaingang, pôde-se compreender a importância de fomentar mecanismos para dar acesso e visibilidade à documentação (técnica e científica) dos povos originários. Nesta pesquisa, tem-se como objetivo geral investigar sobre o uso das Tecnologias da Informação e Comunicação (TIC) pelos membros da Aldeia Kaingang Três Soitas, para o acesso à informação. A Aldeia está localizada na cidade de Santa Maria-RS. A metodologia adotada foi a pesquisa descritiva e exploratória, desenvolvida a partir da pesquisa bibliográfica e documental, que visa um maior conhecimento sobre a temática dos povos indígenas e os desafios do acesso às TIC. A análise dos resultados permitiu identificar as diferentes formas de uso das tecnologias digitais, nas quais foram apontadas como o avanço da tecnologia afeta o cotidiano do povo indígena Kaingang. A conclusão constatou que as tecnologias digitais são utilizadas como prática pedagógica muito presentes no cotidiano da escola, e como instrumento de luta pela efetivação dos direitos indígenas e de divulgação da sua cultura, pois, por meio das TIC, as próprias comunidades indígenas podem se expressar e contar a sua história, além de preservar sua memória e identidade, respeitando sua diversidade.
Phenomic Prediction Models in Maize Tar Spot Disease Detection
Authors: Schumacher Ally , Thompson Addie 
Published: October 2023

Tar spot disease in maize is the result of a fungal
pathogen, Phyllachora maydis, and reduces yield up to 40 percent
depending on severity of infection. Traditional disease monitoring
techniques often suffer from limited coverage and time inefficiency.
This study explores the application of drone-based imagery for phenomic
prediction models in maize tar spot onset and severity detection. Using
unoccupied aerial vehicles (UAVs) equipped with high-resolution cameras,
multi-spectral and high-resolution images are captured of maize fields
prior to disease onset and throughout the season. UAV images are
processed and analyzed to extract essential phenotypic features related
to plant health, including color, texture, size, and shape
characteristics. The resulting data are integrated into machine learning
algorithms to develop predictive models for disease detection and
quantification. Tar spot detection and monitoring techniques would help
with field management, minimizing overall yield loss caused by
infection. The utilization of drone-based imagery for maize tar spot
detection represents a significant advancement in precision agriculture,
with the potential to revolutionize the way we monitor and manage crop
health.
Assessing the Effect of Essential Oil Nanoemulsions against Tomato Gray Mold using Multispectral Imaging
Authors: Luis Jane Marian , Vega-Vazquez Pablo , Wei Xing , Johnson Luke , Jin Jian , Ristroph Kurt , Hoagland Lori 
Published: October 2023

Gray mold, caused by the fungus Botrytis cinerea, is a major
pre-and post-harvest disease that affects all aboveground parts of
tomato and many other economically important crops. The main control
strategy to manage gray mold is through the use of synthetic fungicides.
However, B. cinerea has a high ability to develop resistance to
fungicides, and fungicides pose environmental hazards and health risks
to off-target organisms. The use of nanoemulsions encapsulating
hydrophobic plant essential oils to improve water dispersibility is a
promising strategy to ameliorate gray mold without the application of
harmful fungicides. This study evaluates the potential of cinnamon
essential oil nanoemulsion (EONE) to suppress gray mold in
hydroponically-grown tomatoes. The root system of four-week-old tomatoes
were dosed with different concentrations of EONE before the leaves were
inoculated with B. cinerea. The effect of EONE on the plant’s
photosynthetic capacity and ability to suppress necrotic lesion
development were measured using Plant Explorer Pro+ and LeafSpec
imagers. Multispectral data showed significant differences in Fv/Fm,
chlorophyll content, and NDVI values between inoculated and uninoculated
leaves. In addition, EONE-treated plants showed up to 45% reduction in
gray mold lesions compared to the non-treated control. Future
experiments will evaluate the efficacy of foliar-application of EONEs to
suppress tomato root diseases, and investigate potential mechanisms
using RNA-seq and microbiome analyses. Results of the study could be
useful in further development of EONEs as an effective management tool
against different diseases and could be adapted to evaluate other
nanocarrier formulations for disease control.
Audit Committee Research: Where Do We Stand, and Where Do We Go from Here?
Authors: Hermanson Dana R. , Hurley Patrick J. , Obermire Kara M. 
Published: October 2023

SUMMARY
Audit committees (ACs) are a topic of significant research interest, with numerous studies published each year. We synthesize AC findings from articles published between 2010 and 2020 to develop a conceptual framework encompassing AC inputs, processes, and outputs. We then provide new insights related to AC characteristics, AC relationships, the AC environment, and AC oversight processes. We encourage future research addressing underexamined AC characteristics (e.g., diversity, busyness, and tenure); AC relationships, environment, and processes; and outcomes related to internal audit and internal controls. We also encourage researchers to focus on four contemporary AC issues (remote work; new technologies and cybersecurity; environmental, social, and governance (ESG) and climate; and AC workload) and to embrace diverse research methods and theories. We provide numerous specific research questions to guide future research toward advancing our understanding of ACs and their impact on corporate governance.
PERBANDINGAN JUMLAH CANDIDA ALBICANS SETELAH BERKUMUR EKSTRAK JAHE DAN KLORHEKSIDIN PADA PENGGUNA ORTODONTI CEKAT
Authors: Dewi Tiara Samapta , Chairani Shanty , Dewi Siti Rusdiana Puspa 
Published: October 2023

ABSTRAK Jumlah Candida albicans di dalam rongga mulut dapat mengalami peningkatan akibat penggunaan alat ortodonti cekat. Obat kumur dengan kandungan antijamur dapat digunakan untuk menurunkan jumlah C. albicans di dalam rongga mulut. Ekstrak jahe telah dilaporkan dapat menurunkan jumlah C. albicans, namun bila dibandingkan dengan klorheksidin masih ada perbedaan hasil terhadap efektivitasnya. Penelitian ini bertujuan untuk membandingkan jumlah C. albicans setelah berkumur ekstrak jahe dan klorheksidin sebagai kontrol pada pengguna ortodonti cekat. Studi ini merupakan penelitian eksperimental klinis, yang melibatkan 30 subjek yang dibagi menjadi kelompok yang berkumur dengan ekstrak etanol jahe 30% dan kelompok yang berkumur klorheksidin glukonat 0,2%. Bahan kumur digunakan selama 14 hari dengan frekuensi 2 kali sehari. Saliva tanpa stimulasi dikumpulkan dengan metode spitting pada hari baseline, hari ke-7, dan hari ke-14. Sampel saliva dibiakkan kemudian dilakukan penghitungan jumlah koloni C. albicans. Hasil uji t berpasangan menunjukkan jumlah koloni C. albicans menurun secara signifikan pada kedua kelompok setelah menggunakan obat kumur selama 7 hari dan 14 hari (p0,05). Hasil uji t tidak berpasangan menunjukkan tidak terdapat perbedaan signifikan dari jumlah koloni C. albicans antara kedua kelompok (p0,05). Dapat disimpulkan bahwa berkumur dengan ekstrak jahe dapat menurunkan jumlah C. albicans pada pengguna ortodonti cekat, sama baiknya dengan berkumur menggunakan klorheksidin.
E-WOM DAN PARIWISATA: SEBUAH TINJAUAN PUSTAKA SISTEMATIS
Authors: Pranaya  Astaf Aji , Sarjani  Dini Kumalawati , Rosalia  Fanny , Shabrina  Rahma Mesi , Shabrina  Rahma Mesi , Irwansyah  Irwansyah  
Published: October 2023

Advances in technology affect consumer communication to influence other consumers through electronic word-of-mouth (e-WOM). Compared to commercial advertising, e-WOM is considered as a more credible source of information to influence purchasing decisions, especially in the tourism sector, which is an intangible sector. This study aims to provide a comprehensive description of the influence of eWOM and the tourism industry. To achieve this goal, a systematic literature review was conducted on 30 previous studies indexed by Scopus. From the results of this study, the definition of e-WOM is defined as positive or negative reviews from consumers regarding their experience consuming products or services published via the internet. Quantity, quality, trust, and credibility are e-WOM factors that affect a person's intention to visit a tourist destination. Meanwhile, the impact of e-WOM which consists of cognitive, affective, and normative also influences one's intention to visit. Satisfaction, comfort, and experience are the motivation for consumers to spread e-WOM. Keywords: e-WOM; tourism; systematic literature review.
AVALIAÇÃO AUDIOLÓGICA EM BEBÊS NASCIDOS DE MÃES QUE TIVERAM COVID-19 NO PERÍODO GESTACIONAL
Authors: Zica Ana Carolina Odorizzi , Novanta Gabriela Ribeiro , Fernandes Geraldo Magela , De Castro Maria Eduarda Canellas , Motta Felipe , Serra Lucieny Silva Martins , Sampaio André Luiz Lopes 
Published: October 2023

Introdução: No final de dezembro de 2019, um grupo de casos inexplicáveis de pneumonia foi relatado em Wuhan, China. Alguns dias depois, o agente causador dessa misteriosa doença foi identificado como um novo coronavírus que se disseminou de forma rápida. As infecções maternas, contraídas antes ou durante a gravidez, podem ser transmitidas ao feto, durante a gestação (infecção congênita), durante o parto (infecção perinatal) e pela amamentação (infecção pós-natal) e podem causar danos ao feto ou ao recém-nascido. Objetivo: descrever a avaliação audiológica realizada em uma série de crianças cujas mães tiveram COVID-19, em sua forma leve, no período gestacional. Metodologia: Para a avaliação audiológica foram realizadas a anamnese e os exames de emissões otoacústicas por produto de distorção, nas frequências de 1,5 a 12KHz e pontencial auditivo de tronco encefálico por click. Resultados: A amostra foi composta por 47 recém-nascidos recém-nascidos. Os resultados dos testes das emissões otoacústicas evocadas por produto de distorção indicaram funcionalidade das estruturas avaliadas apontando normalidade da função coclear com nível de resposta adequado para a média de resultados obtidos até a frequência de 11kHz para a amplitude de resposta e para a relação sinal-ruído. Foi possível encontrar em toda a amostra a presença das ondas I, III e V na intensidade de 80dBHL e presença da onda V nas intensidades de 50 e 35dBHL bilateralmente. Conclusão: Não foi estabelecida uma correlação direta da infecção materna pelo vírus da covid-19 com os achados audiológicos nos recém-nascidos. Cabe mencionar que esse foi um estudo preliminar e que essas crianças precisam continuar em acompanhamento para investigação de futuros desfechos tardios no aparelho auditivo.
Sistem Identifikasi Kesehatan Berdasarkan Detak Jantung, Kadar Oksigen, dan Suhu Tubuh Menggunakan Metode Fuzzy Mamdani
Authors: Naviaddin Arsal Wildan , Prasetio Barlian Henryranu , Primananda Rakhmadhany 
Published: October 2023

Kesehatan merupakan faktor penting dalam kehidupan manusia. Oleh karena itu, dalam paper ini kami menawarkan pendekatan efektif dan efisien dalam mendeteksi dini kesehatan. Deteksi dini dapat menghindari berbagai faktor risiko penyakit dan dapat terhindar dari komplikasi, serta menghemat biaya pengobatan. Sebagian besar alat deteksi kesehatan menggunakan metode invasif, sementara sistem kami menggunakan pendekatan contactless. Sensor pulse Oximater MAX30100 dan sensor suhu MLX90614 digunakan untuk mengukur tingkat saturasi oksigen, detak jantung dan suhu tubuh. Kemudian, kedua data sensor tersebut dikirim ke Google Firebase dengan memanfaatkan fitur layanan realtime database sehingga data dapat ditampilkan secara langsung di aplikasi android. Kedua sensor dihubungkan pada mikrokontroler NodeMCU ESP8266, lalu data hasil pengukuran sensor beserta perhitungan fuzzy dikirim ke database Firebase agar dapat ditampilkan pada smartphone. Hasil dari penelitian ini adalah akurasi pembacaan sensor suhu MLX90614 dan pulse oximater MAX30100 dibandingkan alat yang sudah ada didapatkan pengukuran suhu mendapatkan nilai MAPE sebesar 0.964 %, pengukuran saturasi mendapatkan nilai MAPE 0 %, dan pengukuran detak jantung didapatkan MAPE 1.581 %. Dari ketiga pengukuran didapatkan nilai MAPE dibawah 10% sehingga dapat dikategorikan pengukuran akurat dan kinerja metode fuzzy mamdani dalam mengklasifikasikan kondisi kesehatan sangat baik dan akurat.

Abstract

Health is an important factor in human life. Therefore, in this paper we offer an effective and efficient approach in early detection of health. Early detection can avoid various risk factors for disease and can avoid complications, as well as save on medical costs. Most medical detection systems use invasive methods, while our system uses a contactless approach. The MAX30100 Oximater pulse sensor and MLX90614 temperature sensor are used to measure oxygen saturation level, heart rate and body temperature. Then, the two-sensor data are sent to Google Firebase by utilizing the real-time database service feature so that the data can be displayed directly in the Android application. The two sensors are connected to the NodeMCU ESP8266 microcontroller, then the sensor measurement results data along with the fuzzy calculations are sent to the Firebase database so that they can be displayed on a smartphone. The results of this study are the accuracy of the readings of the MLX90614 temperature sensor and the MAX30100 pulse oximeter compared to existing devices, the temperature measurement gets a MAPE value of 0.964 %, the saturation measurement gets a MAPE value of 0 %, and the heart rate measurement gets a MAPE of 1.581 %. From the three measurements, the MAPE value was below 10% so that it could be categorized as an accurate measurement and the performance of the Mamdani fuzzy method in classifying health conditions was very good and accurate.
Perencanaan Strategis Sistem Informasi Pada Lembaga Amil Zakat Menggunakan Analisis SWOT Berbasis Lima Faktor Seni Perang Sun Tzu Berdasarkan Anita Cassidy
Authors: Novettralita Ucky Pradestha , Isnanto R. Rizal , Widodo Catur Edi 
Published: October 2023

Lembaga Amil Zakat (LAZ) memanfaatkan strategi Sistem Informasi/Teknologi Informasi (SI/TI) untuk meningkatkan daya saing. Seni Perang Sun Tzu telah banyak digunakan dalam penelitian untuk menyusun strategi bisnis dan strategi penjualan. Sayangnya, belum ada penelitian dengan menggunakan Seni Perang Sun Tzu untuk perencanaan strategis Sistem Informasi (SI). Kontribusi penelitian adalah penyusunan analisis SWOT berbasis lima faktor Seni Perang Sun Tzu sehingga dapat menjadi dasar untuk penelitian selanjutnya. Tujuan dari penelitian ini adalah untuk mengidentifikasikan kondisi lingkungan internal bisnis dan eksternal bisnis sehingga memberikan rekomendasi strategi kunci kepada LAZ dalam domain strategi bisnis, strategi SI/TI, dan strategi infrastruktur SI/TI berdasarkan analisis SWOT berbasis lima faktor Seni Perang Sun Tzu yang disusun berdasarkan metode Anita Cassidy. Beberapa strategi kunci yang dihasilkan dari peneitian ini adalah promosi dan edukasi zakat melalui media sosial dan media daring lainnya; menyediakan teknologi untuk memudahkan masyarakat membayar zakat dengan membuat aplikasi seperti Mobile Zakat, Customer Relationship System (CRS); dan mengembangkan kemampuan dalam memanfaatkan teknologi 5G dan teknologi baru.

Abstract
Amil Zakat Institution (LAZ) uses Information System/Information Technology (IS/TI) strategy to improve competitiveness. Sun Tzu's Art of War has been widely used in research to develop business strategies and sales strategies. Unfortunately, there has been no research using Sun Tzu's Art of War for Information System (IS) strategic planning. The contribution of the research is the preparation of a SWOT analysis based on the five factors of Sun Tzu's Art of War so that it can be the basis for future research. This research aims to identify the condition of the internal business and external business environment to provide key strategy recommendations to LAZ in the domains of business strategy, SI/TI strategy, and SI/TI infrastructure strategy based on SWOT analysis based on five factors Sun Tzu's Art of War compiled based on the Anita Cassidy method. Some of the key strategies obtained from this research are the promotion and education of zakat through social media and other online media; providing technology to make it easier for people to pay zakat by creating applications like Mobile Zakat application, Customer Relationship System (CRS); and developing capabilities in utilizing 5G technology and new technologies.
Seleksi Fitur dengan Particle Swarm Optimization pada Klasifikasi Penyakit Parkinson Menggunakan XGBoost
Authors: Kurnia Deni , Itqan Mazdadi Muhammad , Kartini Dwi , Adi Nugroho Radityo , Abadi Friska 
Published: October 2023

Penyakit Parkinson merupakan gangguan pada sistem saraf pusat yang mempengaruhi sistem motorik. Diagnosis penyakit ini cukup sulit dilakukan karena gejalanya yang serupa dengan penyakit lain. Saat ini diagnosa dapat dilakukan menggunakan machine learning dengan memanfaatkan rekaman suara pasien. Fitur yang dihasilkan dari ekstraksi rekaman suara tersebut relatif cukup banyak sehingga seleksi fitur perlu dilakukan untuk menghindari memburuknya kinerja sebuah model. Pada penelitian ini, Particle Swarm Optimization digunakan sebagai seleksi fitur, sedangkan XGBoost akan digunakan sebagai model klasifikasi. Selain itu model juga akan diterapkan SMOTE untuk mengatasi masalah ketidakseimbangan kelas data dan hyperparameter tuning pada XGBoost untuk mendapatkan hyperparameter yang optimal. Hasil pengujian menunjukkan bahwa nilai AUC pada model dengan seleksi fitur tanpa SMOTE dan hyperparameter tuning adalah 0,9325, sedangkan pada model tanpa seleksi fitur hanya mendapat nilai AUC sebesar 0,9250. Namun, ketika kedua teknik SMOTE dan hyperparameter tuning digunakan bersamaan, penggunaan seleksi fitur mampu memberikan peningkatan kinerja pada model. Model dengan seleksi fitur mendapat nilai AUC sebesar 0,9483, sedangkan model tanpa seleksi fitur hanya mendapat nilai AUC sebesar 0,9366.

Abstract

Parkinson's disease is a disorder of the central nervous system that affects the motor system. Diagnosis of this disease is quite difficult because the symptoms are similar to other diseases. Currently, diagnosis can be done using machine learning by utilizing patient voice recordings. The features generated from the extraction of voice recordings are relatively large, so feature selection needs to be done to avoid deteriorating the performance of a model. In this research, Particle Swarm Optimization is used as feature selection, while XGBoost will be used as a classification model. In addition, the model will also be applied SMOTE to overcome the problem of data class imbalance and hyperparameter tuning on XGBoost to get optimal hyperparameters. The test results show that the AUC value on the model with feature selection without SMOTE and hyperparameter tuning is 0.9325, while the model without feature selection only gets an AUC value of 0.9250. However, when both SMOTE and hyperparameter tuning techniques are used together, the use of feature selection is able to provide improved performance on the model. The model with feature selection gets an AUC value of 0.9483, while the model without feature selection only gets an AUC value of 0.9366.
YOUNG ENGLISH LEARNERS’ ANXIETY: THE CASE IN INDONESIAN ELEMENTARY CLASSROOM
Authors: Rasyida Tanadya , Kusuma Paulina Chandrasari 
Published: October 2023

It is a common phenomenon that English language learners suffer from anxiety when they step into a language class, especially in the oral-focused lesson. This situation is experienced not only by adult English learners but also by the young ones who are learning in English-speaking classes at the elementary school level. Language anxiety they have is triggered by or originated from numerous factors, including the teacher’s identity factor. A teacher who is a ‘native’ speaker of the language is believed to gear greater anxiety among English as a foreign language learners resulted in passiveness and withdrawal from oral activities in the class. Referring to the circumstance, this study, was conducted to see the level of anxiety in English speaking classes which were taught by a native English speaker teacher (NEST) as well as to see the possible aspects evoking foreign language anxiety among young English learners. This present research, particularly, involved 69 active students of Tarakanita 1 elementary school in Jakarta. The research data was collected using a qualitative method with a set of questionnaires as a major data collection instrument, embracing three key indicators namely fear of communicating, fear of negative evaluations, and testing anxiety. To identify similarities and differences among students of differing anxiety levels, five categories: very low, low, moderate, high, and very high anxiety are applied. Quantitative analysis of the data revealed that the participants exhibit different levels of anxiousness in speaking English with a native English speaker. The highest percentage fell at high level category which was applied for the three aforementioned indicators. Pertaining to the factors influence might arouse anxiety in speaking class fear of communicating, contribute as much as the other two: fear of negative evaluations, and testing anxiety. The findings of this study are expected to benefit both teachers and students. It is hoped that students will develop more awareness towards factors, as anxiety, that may hinder them from mastering English-speaking skill and find solutions to overcome anxiety in speaking. Moreover, teachers are hoped to be more understanding and concerned with the anxiety young English learners experience and help them reduce their anxiety during the classroom performance through implementing various strategies.
КОМПЛЕКСНАЯ ОЦЕНКА ПРЕДПРИЯТИЙ ГОРНОПРОМЫШЛЕННОГО КОМПЛЕКСА НА ОСНОВЕ МЕТОДОВ АЭРОКОСМИЧЕСКОГО ЗОНДИРОВАНИЯ
Authors: ПОТАПОВ В П. , ШОКИН Ю И. 
Published: October 2023

В настоящей работе рассматриваются вопросы использования средств аэрокосмического зондирования для решения задач по оценке степени техногенного воздействия предприятий горнопромышленного комплекса на окружающую среду. Авторы выделяют три масштаба, которые с одной стороны оценивают размеры оцениваемых территорий, а с другой стороны каждый из масштабов имеет свои средства оценки конкретных физических процессов, связанных с изменением окружающей среды и массива горных пород, подвергаемых техногенному воздействию. На основе многолетнего опыта исследований, авторы приводят разнообразные примеры использования средств аэрокосмического зондирования для задач горного производства. В работе делается вывод о эффективности использования данных методов, а также обсуждаются дальнейшие перспективы их применения в задачах нелинейной геомеханики.
In this paper, the use of aerospace sensing tools to solve problems in assessing the degree of technogenic impact of mining enterprises on the environment is considered. The authors distinguish three scales, which, on the one hand, estimate the size of the assessed territories, and on the other hand, each of the scales has its own means assessment of specific physical processes associated with changes in the environment and rock massifs subjected to technogenic impact. Based on many years of research experience, the authors give a variety of examples of the use of aerospace sensing tools for the problems of mining production. The paper makes a conclusion about the effectiveness of using these methods, and discusses further prospects for their application in the problems of nonlinear geomechanics.