bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chatbots for medical students exploring medical students’ attitudes and concerns towards artificial intelligence and medical chatbots
Authors: Hind Berrami , Serhier Zineb , Manar Jallal , Bennani Othmani Mohammed 
Published: January 2024

Introduction: artificial intelligence (AI) encompasses the concept of automated machines that can perform tasks typically carried out by humans, doctor-patient communication will increasingly rely on the integration of artificial intelligence (AI) in healthcare, especially in medicine and digital assistant systems like chatbots. The objective of this study is to explore the understanding, utilization, and apprehensions of future doctors at the Faculty of Medicine in Casablanca regarding the adoption of artificial intelligence, particularly intelligent chatbots. Methods: a cross-sectional study was conducted among students from the 1st to 5th year at the Faculty of Medicine and Pharmacy in Casablanca. Probability sampling was implemented using a clustered and stratified approach based on the year of study. Electronic forms were distributed to randomly selected groups of students. Results: among the participants, 52 % of students fully agreed to utilize chatbots capable of answering health-related queries, while 39 % partially agreed to use chatbots for providing diagnoses regarding health conditions. About concerns, 77 % of the respondents expressed fear regarding reduced transparency regarding the utilization of personal data, and 66 % expressed concerns about diminished professional autonomy. Conclusion: Moroccan Medical students are open to embracing AI in the field of medicine. The study highlights their ability to grasp the fundamental aspects of how AI and chatbots will impact their daily work, while the overall attitude towards the use of clinical AI was positive, participants also expressed certain concerns
Vehicle Emission is the Cause of Increased Particulate Matter at the Bottleneck Site in Lahore, Pakistan.
Authors: Bukhari Syed Shaid Imran , Mughal Samia , Naeem Aliza , Mughal Kiran 
Published: January 2024

Background: The Particulate matter (PM) emitted by heavy traffic is the major cause of pollution in the air. Lahore is Pakistan's second largest provincial capital and the most polluted city. This study was conducted to analyze the PM concentration in a heavy traffic site at Data Gunj Baksh Town in Lahore.
Materials and Methods: PM concentration was analyzed from 15 October 2021 to 31 March 2022 by installing a low-cost PurpleAir sensor at the sampling site.
Results: The maximum concentration of PM1.0 (341.73 ± 63.39 µg/m3), PM2.5 (1635.56 ± 152.85 µg/m3) and PM10 (2975.64 ± 286.79 µg/m3) was recorded in December 2021, while the minimum concentration of PM1.0 (10.475 ± 13.66 µg/m3) PM2.5 (16.29 ± 21.53 µg/m3), and PM10 (18.61 ± 25.34 µg/m3) were analyzed in October 2021. In comparison to the standard WHO guidelines, the measured levels of PM2.5 and PM10 are 109 and 66 times higher, respectively.
Conclusion: It is imperative to implement effective measures to reduce the air pollution, by implementing the legislation related to fitness of commercial vehicles so as to minimize the emission of the PM.
MEMPERTAHANKAN NUTRISI PROTEIN MELALUI BAHAN MAKANAN NABATI UNTUK MENINGKATKAN STATUS GIZI MASYARAKAT
Authors: Novel Ersa Ilfada Dwi , Rahmah Julia , Mariana Mariana , Sari Maya , Rahayu Siti 
Published: January 2024

Tujuan dari penelitian ini adalah untuk memberikan gambaran tentang protein nabati yang membantu mempertahankan kehidupan yang lebih baik bagi masyarakat dan kualitas nutrisi protein nabati. Penelitian ini ialah penelitian kualitatif yang mana dengan analisa deskriptif diambil dari tinjauan pustaka dari beberapa literatur untuk mengungkapkan protein yang berkualitas tinggi, faktor-faktor yang mempengaruhi nilai gizi protein nabati, bioaktivitas dan fungsi protein, mengetahui bahan makanan nabati, dan status gizi masyarakat. Berdasarkan hasil penelitian, dapat disimpulkan bahwa bahan makanan nabati dapat mempertahankan nutrisi protein yang penting bagi pemenuhan kebutuhan gizi. Implikasi dari penelitian ini mengarah pada potensi peningkatan status gizi masyarakat melalui peningkatan konsumsi bahan makanan nabati yang kaya akan protein, memberikan alternatif yang berkelanjutan untuk memperbaiki kesehatan dan gizi masyarakat secara luas.
Two new species of Monstrilla (Copepoda: Monstrilloida: Monstrillidae) from a protected reef system of the Mexican Caribbean
Authors: Suárez-Morales Eduardo 
Published: January 2024

Several adult female monstrilloid copepods, collected in March 2022 from the protected reef area of Xcalak, on the southern part of the Mexican Caribbean coast, proved to belong to two undescribed species of Monstrilla Dana, 1849. They are described here as M. xcalakensis sp. nov. and M. annulata sp. nov., partly by use of scanning electron microscopy. Females of the two species are generally similar but differ in: (1) antennular segmental structure, (2) antennular armature and ornamentation, (3) structure and setation of the fifth leg, (4) number and modifications of the caudal setae, and (5) integumental ornamentation. Comparison with congeneric species revealed distinctive features for both species that support their status as new. These two species are interesting additions to the reef-dwelling monstrilloid copepod fauna of the Mexican Caribbean and confirm Monstrilla as the most diverse genus of monstrilloids in this area, now represented by nine species.
Wpływ motywacji na wykonywaną pracę wśród pracowników aptek
Authors: Kowalska-Myśliwiecka Sylwia , Hentel-Gadzała Magdalena 
Published: January 2024

Tematyka motywacji jest obecnie najczęściej omawianym problemem w małych, średnich i dużych przedsiębiorstwach. Dotyczy każdej firmy, a sposób motywowania pracowników ma wpływ na osiągnięcia każdego przedsiębiorstwa. Głównym celem artykułu jest analiza systemu motywacyjnego pracowników, którzy pracują w aptekach oraz diagnoza tego systemu. Artykuł przedstawia założenia procesu motywowania pracowników, przedstawia główne pojęcia, czynniki i rodzaje motywacji a także prezentuje analizę mechanizmów oddziaływania motywacyjnego w firmie w odniesieniu do systemu motywacyjnego pracowników aptek.
Introduction of Quantum System, Step Potential and Barrier Potential to Class X Students of SMA Budi Utomo Bengkulu City
Authors: Syafitri Dini , Dari Anggen , Setiawan Iwan , Matrasulov Jasur 
Published: January 2024

Physics is a science that is very close to everyday life. However, physics learning is often a subject that is less attractive to students because it tends to be difficult to understand. This community service aims to introduce and provide an understanding of physics, especially quantum systems, including potential steps and potential barriers to students of SMA Budi Utomo Kota Bengkulu. Activities are carried out in 3 stages namely preparation, implementation, and evaluation stages. The community service method used in this study was socialization and material exposure with PPT instruments. The research was aimed at class X students with a total of 31 students at SMA Budi Utomo Kota Bengkulu. Implementation This service activity was carried out in November 2023. The results showed that students can understand abstract physics material using simple language and examples in everyday life. It can be concluded that students will more easily understand abstract physics material if it is delivered effectively and involves active learning activities.
Deep Learning Techniques for Air Quality Prediction: A Focus on PM2.5 and Periodicity
Authors: Shankar Lakshmi , Arasu Krishnamoorthy 
Published: January 2024

The rapid increase in traffic, urbanization, and industrial expansion has all contributed to a decrease in air quality, which has a vital impact on both the long-term feasibility of the environment and the health of humans, particularly in industrialized nations. Numerous studies have explored using machine learning for air quality forecasting to reduce pollution. While shallow machine learning architectures offer less accurate forecasts, deep learning, a recent advancement in computational intelligence, has immense potential in predicting air quality. Deep learning frameworks can identify intricate correlations and patterns in data on air quality, resulting in more accurate and dependable predictions. Several aspects, including climatic conditions, emission sources, and geographical characteristics, may be considered by these models, which can help one better understand and anticipate air pollution levels. This research investigates deep learning applications' periodic changes in air quality. Hybrid deep learning methods utilize optimization, data decomposition, and correlation evaluation between PM2.5 particles and other factors to overcome limitations. This study contrasts various deep learning algorithms for forecasts of air quality and demonstrates that hybrid deep learning is more accurate compared to each model alone at predicting future periods of air quality. It proposes future research directions for the future generation of models. The literature summary provides valuable insights for academics seeking future studies in this field.
The Challenges of Machine Learning in Software Development
Authors: Yucra Jair Emerson Ferreyros , Tipo Ruben Plácido Lerma , Cruz Richard Condori , Noriega Juan Benites , Calsina Eder Hermes Condori , Ramirez Rina Marina Quispe Flores De 
Published: January 2024

A documentary review was carried out on the production and publication of research papers related to the study of the variables Machine Learning and Software Development. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 2017-2022 by Latin American institutions, achieving the identification of 307 publications. The information provided by this platform was organized through graphs and figures, categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors on the proposed topic is referenced through a qualitative analysis. Among the main findings made through this research, it is found that Brazil, with 153 publications, was the Latin American country with the highest scientific production registered in the name of authors affiliated with institutions of that nation. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material related to the study of Machine Learning and Software Development was Computer Science with 256 published documents, and the most used Publication Type during the period indicated above were Conference Articles with 52% of the total scientific production.
Desarrollo de tecnología para determinación de calidad nixtamalera de maíz Zea mays L.
Authors: García Hernández María Elena 
Published: January 2024

La principal manera de preparar el maíz para su consumo, en México, es en forma de tortilla, y para su elaboración se requiere el proceso de nixtamalización, en el cual inciden una serie de factores que determinan la calidad del producto.
Desde el punto de vista de mejoramiento genético, al tratar de formar materiales para este fin, no existe una metodología especifica para evaluar dichos materiales. En base a lo anterior, el presente trabajo tiene como objetivo, detectar parámetros que permitan determinar la calidad del grano, requerida para dicho proceso.
Este estudio fue realizado en el Instituto Mexicano del Maíz, con sede en esta Universidad, durante los años 1982-1983, y se utilizaron 27 materiales de diverso origen genético, tales como: razas, variedades criollas, variedades mejoradas e híbridos.
Para su desarrollo se consideraron las siguientes etapas: recepción de la muestra, que incluye la caracterización taxonómica y morfológica, así como la determinación de especificaciones físicas del grano; condiciones termo-alcalinas durante la nixtamalización; evaluación de parámetros como sedimentación y extensibilidad en la masa; en harina nixtamalizada: pruebas de granulometría y en tortilla características organolépticas, rendimiento y viaa de anaquel.
Los diferentes parámetros se analizaron individualmente en diseño completamente al azar y las medias fueron comparadas mediante la prueba de Tukey; se estudió la correlación simple entre las variables, y se encontraron diferencias significativas en los parámetros gasto de agua y tiempo de cocción, así como una tendencia a asociar características que con componentes de textura con características propias del proceso de nixtamalización.
Control mecanico de arbustos para mejorar la producción forrajera de pastizales áridos
Authors: De Luna V. Reginaldo , Medina Torres Jorge G. , Gloria H. Gilberto 
Published: January 2024

El presente estudio, realizado en el Campo Experimental Noria de Gua-dalupe, Zacatecas, de la UAAN, tuvo como objetivo básico la evaluación de la efectividad y costos de diversos tratamientos mecánicos en el control de arbustos. Las prácticas evaluadas fueron: a) tratamientos que causan disturbio al suelo: 1) rastra, 2) cuchilla, 3) arado y 4) rotocultivadora; b) tratamientos que causan disturbio mínimo al suelo: 5) riel - un paso, 6) riel - dos pasos, 7) cable, y 8) desvaradora.
Al inicio del trabajo, el sitio de pastizal matorral parvifolio inerme estaba dominado por Larrea divaricata y Flourensia cernua (30% de cobertura), mientras que las gramíneas principales, Bouteloua karwinskii y Setaria ma-crostachya, tenían una cobertura del 14%.
De los tratamientos que causan disturbio mínimo al suelo, la práctica más prometedora, de acuerdo a los resultados del presente estudio, es el riel-dos pasadas que, para el caso de la L. divaricata, redujo su cobertura casi al 100%. Además, tiene la ventaja de que sólo causa daños mínimos al estrato herbáceo (gramíneas y herbáceas deseables). En cuanto al grupo de tratamientos que sí causan disturbios significativos al suelo, todos tuvieron un efecto similar en la reducción de la cobertura aérea. Al tomar en cuenta el número de arbustos destruidos, el arado desenraizador y la rotocultivadora fueron los más sobresalientes, Sin embargo, todos estos tratamientos, reducen de manera drástica el estrato herbáceo y la superficie del suelo.
HOTELARIA DO NORDESTE: NO ESPELHO DA GLOBALIZAÇÃO
Authors: Paiva Maria das Graças de Menezes Venâncio , Cavalcanti Keila Brandão , Souza Tereza de 
Published: January 2024

Focaliza a internacionalização do capital no turismo e na hotelaria, e a trajetória da hotelaria no Nordeste, abordando a tecnologia organizando e hoteleira, detendo-se na Qualidade Total. No momento, a compreensão da hotelaria da Região Nordeste não pode ser abstraída do contexto do expansionismo do capital no turismo, e especificamente na hotelaria, refletindo-se nas modificações nos espaços econômicos. Essa dinâmica não se reproduz apenas em nível macro. Em nível micro, ela determina novas formas de gestão intra-organizacional, acarretando inclusive transformações no mercado de trabalho.
Harnessing MAXQDA for Qualitative and Mixed-Methods Data Analysis
Authors: Silver Christina 
Published: January 2024

This seminar introduces you to harnessing MAXQDA to accomplish qualitative and mixed-methods analysis. Led by Christina Silver, an expert in the field, the seminar illustrates the use of software tools as described in the CAQDAS pedagogy, the Five-Level QDA method, providing a theoretical understanding of the role of MAXQDA in the analysis process, and practical experience of using it to accomplish a variety of analytic tasks. You will be guided through the typical phases of an analysis and how they can be facilitated through the creative and systematic use of MAXQDA. At the conclusion of the seminar an official Instats certificate of completion is provided along with 1 ECTS Equivalent point.
Harnessing NVivo for Qualitative and Mixed-Methods Research
Authors: Silver Christina 
Published: January 2024

This 12-part seminar introduces you to harnessing NVivo to accomplish qualitative and mixed-methods analysis. The seminar follows the principles of ensuring analytic strategies drive the use of software tools as described in the CAQDAS pedagogy, the Five-Level QDA method, providing both theoretical understandings of the role of software like NVivo in the analysis process, and practical experience with operating NVivo to accomplish a variety of analytic tasks. You will be guided through the typical phases of an analysis and how they can be facilitated through the creative and systematic use of NVivo. An official Instats certificate of completion is provided and 2 ECTS Equivalent points are offered for European PhD students.
Machine Learning and AI for Researchers in R
Authors: Cerulli Giovanni 
Published: January 2024

This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using R. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net, and subset-selection models); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in R. An Instats certificate of completion is provided at the end of the seminar, and 2 ECTS equivalent points are offered.
PENERAPAN METODE PUMPING TEACHER UNTUK MEMOTIVASI BELAJAR SISWA PADA PEMBELAJARAN PENDIDIKAN AGAMA ISLAM DI SMP NEGERI STAP 7 TANJUNG JABUNG TIMUR
Authors: Mat Zukri  
Published: January 2024

Penelitian ini di latarbelakangi dari observasi awal peneliti di Sekolah Menengah Pertama Negeri STAP 7 Tanjung Jabung Timur tentang penerapan metode pumping teacher untuk memotivasi belajar siswa pembelajaran Pendidikan Agama Islam, metode Pumping Teacher adalah suatu usaha seorang guru sebagai yang pro aktif untuk menggali bakat potensi diri peserta didik untuk termotivasi dalam pengajaran yang dilakukannya.
Pendekatan penelitian yang penulis gunakan adalah penelitian kualitatif deskriptif. Pengumpulan data dilakukan dengan teknik Observasi, wawancara dan dokumentasi, dengan sampel Kepala Sekolah, Guru Pendidikan Agama Islam, dan peserta didik serta melakukan pengamatan di Sekolah Menengah Pertama Negeri 9 Tanjung Jabung Timur. Teknik analisis data dilakukan dengan pengecekan keabsahan data dapat dilakukan dengan cara kreadibilitas. Kreadibilitas data adalah upaya peneliti utuk menjamin kesahihan data dengan mengkonfirmasikan data yang diperoleh pada saat pengumpulan data yaitu, Triangulasi, pemeriksaan sejawat melalui diskusi, dan ketekunan pengamatan.
Hasil dalam penelitian ini adalah, proses pembelajaran di kelas maupun di luar kelas selalu menuntut adanya motivasi dalam diri setiap siswa. Keberadaan motivasi dalam proses pembelajaran merupakan faktor penting yang akan mempengaruhi seluruh aspek-aspek belajar dan pembelajaran. Penerapan metode Pumping Teacher di SMP Negeri STAP 7 guru bukan hanya bisa memberikan motivasi kepada siswa tetapi dapat mencetak generasi yang berkarakter. Dalam penerapannya guru memiliki kendala, yaitu: Kurangnya pemahaman dari siswa, Tidak semua siswa aktif dikarenakan kemampuan siswa yang berbeda-beda, dan Tidak ada dorongan dari orang tua terhadap siswa dan tidak ada kerjasama antar guru dan orang tua siswa. Dan guru memiliki upaya dalam menghadapi kendala dalam memotivasi siswaguru sudah membangun komunikasi yang baik antar guru dan siswa, antar guru dan orang tua; guru sudah memberikan penguatan verbal dan non verbal secara jelas kepada siswa; guru sudah menjalin hubungan emosional yang dalam terhadap siswa sehingga siswa merasa nyaman, guru memberikan penguatan-penguatan yang dapat memotivasi siswa.
PKM BIMTEK PELAPORAN KEUANGAN DIGITAL DAN AKUNTANSI SEDERHANA UNTUK APARAT DESA
Authors: Tenriwaru Tenriwaru , Suun Muhammad , Syahnur Haerdiyansyah 
Published: January 2024

Pengelolaan keuangan desa yang berorientasi pada kinerja, dapat diasumsikan bahwa pengelolaan keuangan desa yang baik. Hal ini berpengaruh terhadap kinerja desa karena terdapat tanggung jawab kinerja yang mewakili hubungan antara tujuan strategis yang ingin dicapai dengan jumlah sumber daya yang disediakan. Suatu lembaga atau badan yang berwenang. Pengelolaan keuangan yang baik akan menghasilkan pelaporan keuangan yang baik. Pelaporan keuangan sangat penting karena memberikan semacam akuntabilitas atas operasional suatu lembaga, baik secara regional maupun perusahaan secara keseluruhan. Hal ini juga dapat dijadikan bahan evaluasi langkah ke depan. Penyusunan laporan keuangan dibagi menjadi dua bidang: tradisional dan modern. Metode tradisional, langkah pertama biasanya mengelompokkan akun tertentu secara manual. Metode modern saat ini terutama menggunakan aplikasi keuangan digital langsung secara online. Tujuan pelaporan keuangan desa adalah untuk mewakili bentuk akuntabilitas organisasi atas penggunaan dan pengelolaan sumber daya desa selama periode waktu tertentu, untuk memberikan informasi mengenai keadaan keuangan, dan sebagai alat evaluasi untuk menunjukkan kinerja yang diberikan. Hal ini penting karena dan menjadi pertimbangan dalam pengambilan keputusan ekonomi bagi kepala desa, dirinya sendiri dan pemangku kepentingan lainnya. Layanan kami mendukung staf desa dalam akuntansi dan pengelolaan dana desa.
CD3‐negative, CD20‐positive T‐cell prolymphocytic leukemia: Case report and review of the literature
Authors: Tamayose Kenji , Sato Naotake , Ando Jun , Sugimoto Koichi , Oshimi Kazuo 
Published: November 2002

AbstractWe report a case of CD3‐negative, CD20‐positive T‐cell prolymphocytic leukemia (T‐PLL). The leukemic cells were of medium‐to‐large size, mature‐looking, and did not have cytoplasmic granules. The leukemic cells were negative for surface CD3, CD2, and CD7 and strongly positive for CD20. T‐cell lineage markers such as CD4, CD5, and cytoplasmic CD3 were also positive. A monoclonal rearrangement of the T‐cell receptor (TCR) β chain gene was detected. CD3‐negative T‐PLL has been reported often, but CD20‐positive T‐PLL has not. We reviewed seven cases of CD20‐positive immature and mature T‐cell leukemias, including the present case. Three were immature T‐cell leukemias (acute lymphoblastic leukemia), and four were mature T‐cell leukemias (granular lymphocytic leukemia, small lymphocytic lymphoma/chronic lymphocytic leukemia, adult T‐cell leukemia, and the present case). Splenomegaly was a common feature. However, our case alone had “bright” CD20 expression on the leukemic cells. This is the first report of CD20+ T‐PLL. Am. J. Hematol. 71:331–335, 2002. © 2002 Wiley‐Liss, Inc.
Modeling of signaling networks
Authors: Neves Susana R. , Iyengar Ravi 
Published: November 2002

AbstractBiochemical networks, including those containing signaling pathways, display a wide range of regulatory properties. These include the ability to propagate information across different time scales and to function as switches and oscillators. The mechanisms underlying these complex behaviors involve many interacting components and cannot be understood by experiments alone. The development of computational models and the integration of these models with experiments provide valuable insight into these complex systems‐level behaviors. Here we review current approaches to the development of computational models of biochemical networks and describe the insights gained from models that integrate experimental data, using three examples that deal with ultrasensitivity, flexible bistability and oscillatory behavior. These types of complex behavior from relatively simple networks highlight the necessity of using theoretical approaches in understanding higher order biological functions. BioEssays 24:1110–1117, 2002. © 2002 Wiley‐Periodicals, Inc.