bluuebunny/crossref_metadata_2025 huggingface dataset:
Diseño, validación e implementación de una secuencia de enseñanza y aprendizaje para promover la argumentación científica en el estudio del calentamiento global
Authors: Satlov Miriam
Published: March 2024

Se presenta una secuencia didáctica para la enseñanza y apropiación de ideas clave sobre el cambio climático, en especial sobre el calentamiento global. Las actividades que se proponen tienen como principal objetivo que los estudiantes de tercer año de Educación Media planteen argumentos científicos, para lo cual se consideran cuatro niveles argumentativos. Además, se proponen de manera paralela cuatro niveles de dominio, a partir de las ideas previas revisadas en la literatura. Se diseña, valida e implementa una Secuencia de Enseñanza y Aprendizaje que está formada por ocho actividades, las cuales se enmarcan en un ciclo de aprendizaje socio-constructivista, en un contexto de clases sincrónicas y asincrónicas. Los resultados muestran que la SEA promueve la argumentación científica en los estudiantes respecto del calentamiento global
Engagement with Radical Propaganda drives Cognitive Radicalization: An Analysis of a Right-Wing Online Ecosystem
Authors: Calvert Julius B
Published: March 2024

Cognitive radicalization remains an issue for communities battling terrorism. Recent empirical investigations into the psycho-social processes involved with radicalization have revealed social exclusion, cognitive inflexibility, and perceived threats to an ingroup as significant predictors for one’s propensity to engage with radical content and commit to offline behaviors. This study investigates the utility of user engagement and the proxy effect on cognitive radicalization by examining users’ engagement with a radical-right online ecosystem. The study supported the assumption that content featuring outgroup prejudice would affect the cognitive radicalization process. Several results demonstrate the importance of user engagement in the process of radicalization. In this analysis, they support an engagement-dependent framework where individual posts carry higher radicalization likelihoods based on the amount of user engagement they receive. These findings have an implication for future research into a user’s behavioral trajectories, from viewing and engaging with content to joining a radical group or committing offline violence against their communities and perceived outgroups.
New Regionalism and Norm Creation: A Case of Shanghai Cooperation Organization
Authors: Choudhari Anadi
Published: March 2024

This article delves into the evolution of international norms, focusing on the dynamics within Central Asia as a microcosm of broader global shifts. It begins by elucidating the concept of a "region" in international relations, emphasizing its multifaceted nature, both geographically and culturally, as well as its evolving character in the face of global transformations. The study then delineates the emergence of regionalism, encompassing the historical context of old and new regionalism, with a nuanced understanding of their continuities and distinctions. A pivotal point of analysis is the Shanghai Cooperation Organization (SCO), whose genesis and transformation underscore the influence of new regional dynamics. The SCO's role as a tool for soft balancing against external hegemony, particularly that of the United States, is examined, highlighting its emphasis on shared norms that diverge from Western ideologies. The SCO's success in shaping normative preferences within Central Asia, particularly in promoting non-interference, state sovereignty, and stability, is contrasted with the efforts of Western institutions like the Organization for Security and Cooperation in Europe (OSCE), which prioritize liberal democratic norms. The study concludes by elucidating the implications of these normative contestations in Central Asia for the broader international order.
Automatisierte Herstellung von Präzisionswerkzeugen: Roboter trifft CNC-Maschine
Authors:   Jonas Micheler
Published: March 2024

Mit mehr als 25 000 Standardwerkzeugen und über 150 000 Sonderlösungen ist dieProduktvielfalt bei der Hartmetall-Werkzeugfabrik Paul Horn in Tübingen enorm.Um genau dieser Vielfalt zukunftsfähig zu begegnen, entschied sich das weltweit tätigeUnternehmen dazu, einen Teil der Produktion mit Robotik exibel zu automatisieren.Wie der Betrieb dieses Vorhaben und seine Herausforderungen meisterte, erfahren Sienachfolgend.
Monkeypox and the eye
Authors: Sibeveih Zahra
Published: March 2024

KEYWORDS

monkey pox, Orthopoxviruses, transmission, communicable disease, conjunctivitides, blepharitides, scleritides, keratitides, uveitides, acquired blindness, pandemic, COVID 19
APLIKASI TRANSAKSI PENJUALAN BERBASIS WEB PADA ROMBONG AKSESORIS
Authors: Andi Martasya  , Farida Idifitriani
Published: March 2024

Rombong Accessories Sumbawa is one of the trading business businesses engaged in mobile phone accessories and electronic goods. The background of this research is the Rombong Accessories sales transaction data management system which still uses manual methods, so that the management and updating of data and reports are not managed properly and even human error often occurs. The purpose of this study is to assist Rombong Accessories Sumbawa in managing sales transaction data and reducing existing problems. The result of this research is a Web-based sales transaction application built using the Rapid Application Diagram system development method, Unified Modelling Language (UML) modeling and PHP programming language with Laravel framework and MYSQL database and has been tested using the Black Box Testing method.
REVIEW OF AI IN EDUCATION: TRANSFORMING LEARNING ENVIRONMENTS IN AFRICA
Authors: Onyebuchi Nneamaka Chisom  , Chika Chioma Unachukwu  , Blessing Osawaru
Published: March 2024

This study analyses artificial intelligence (AI's) impact on education in Africa, focusing on personalized learning, technology integration, and challenges in educational development. This review explores the transformative role of Artificial Intelligence (AI) in reshaping educational landscapes across Africa. As the continent strives for inclusive and quality education, AI emerges as a potent tool with the potential to address educational challenges, enhance learning outcomes, and bridge existing gaps. The review delves into various applications of AI in education, ranging from personalized learning experiences to adaptive assessment methodologies, and examines their impact on diverse learning environments. It gives an overview of the current state of education in Africa, the review highlights the disparities in access, quality, and infrastructure. It also investigates the innovative ways in which AI technologies are being integrated into educational systems. AI-powered adaptive learning platforms, virtual tutors, and intelligent content delivery systems are analyzed for their effectiveness in catering to the diverse needs of students across the continent. The review also addresses the potential of AI in overcoming language barriers, promoting literacy, and fostering digital skills development. Moreover, it explores the role of AI in facilitating teacher support, professional development, and administrative tasks, thereby contributing to the overall improvement of the education ecosystem. Ethical considerations, privacy concerns, and the digital divide are critically examined to ensure that the integration of AI in education aligns with ethical standards and promotes equitable access. Case studies and pilot projects from various African countries are presented to illustrate successful implementations, challenges faced, and lessons learned. Furthermore, the review discusses the importance of collaborative efforts involving governments, educational institutions, technology developers, and the private sector. Policy recommendations and strategic initiatives are explored to guide the responsible and sustainable integration of AI in education across the diverse socio-economic and cultural contexts prevalent in Africa. In conclusion, the review synthesizes the current state of AI in education in Africa, offering insights into its potential to revolutionize learning environments. The transformative power of AI in addressing educational challenges and fostering a culture of continuous improvement is underscored, paving the way for a more inclusive, accessible, and innovative education landscape in the African context.

Keywords: Artificial Intelligence, Education, Transform Learning, Environments, Africa.
New Trends In Product Packaging: Carbon Footprint of The Selected Type of Plastic And Composite Packaging
Authors: BŁĘDZIŃSKA Dominika , RYBACZEWSKA-BŁAŻEJOWSKA Magdalena , JEZIERSKI Dominik
Published: March 2024

of the composite packaging is 0.118 kg CO2 eq compared to 0.169 kg CO2 eq for the plastic packaging. Both sets of results demonstrate that the composite packaging generates approximately 30% less greenhouse gas emissions than the plastic packaging. In the context of the growing challenges related to the European Green Deal, eco-innovations in the packaging industry are becoming increasingly important. These include, among others, reducing material consumption, exploring new combinations of materials, using recycled materials more extensively, optimizing packaging design (adjusting packaging sizes) and closed-loop lifecycles. The article presents new trends in product packaging using a comparison of the carbon footprint of a conventional plastic packaging, made in 72% out of polypropylene (PP), with an eco-innovative composite packaging, being a combination of three different materials, including fiber cardboard (virgin and recycled one) (95%) and polyethylene (PE) (5%). The study was conducted using the ReCiPe 2016 and IPCC 2013 methods.
War Syndrome and The Labour Market: The Impact of The Development of Post-Traumatic Stress Disorder in Employees and Subsequent Problems in Professional Life on The Example of Victims of The Russian-Ukrainian War
Authors: POLIAKOV Daniil , WINIARSKI Jacek
Published: March 2024

The agenda of this research is to study the impact of Post-traumatic stress disorder (PTSD) on the professional qualities of employees, the difficulties they began to face after the appearance of the syndrome, as a result – the second one purpose, is development of recommendations directly for such employees, who suffering or highly risking to shuffle on PTSD, which will help to avoid or at least reduce possible negative aspects. The research design involves the use of anonymous questionnaires for the survey. The research is designed in such a way to determine the degree of damage to the respondent and the relationship with emerging difficulties in the professional field (such as the appearance of difficulties in performing creative, communicative, monotonous, or other activities) and in the labour market (for example, finding a new place of work, key motivators for keeping or changing work). The study was developed in the situational context of the Russian-Ukrainian war.
Opioid-Sparing Effects of IV Acetaminophen for Patients Undergoing Surgery
Authors: Santos Camille , Lachance Chantelle C. , Bailey Sharon
Published: March 2024

What Is the Issue?

Opioids are often used to help manage postoperative pain. However, their consumption can cause side effects, in addition to the risk of developing dependence with long-term use.

Acetaminophen is an alternative analgesic that may provide opioid-sparing benefits for patients undergoing surgery (e.g., the need for patients to use opioids later), but there is a lack of synthesized evidence to confirm. Acetaminophen is available in different formulations, such as IV, oral, and rectal. However, there is uncertainty around the benefits of using 1 formulation over another perioperatively.

What Did We Do?

To inform decisions about IV acetaminophen, we sought to identify and summarize literature comparing the effectiveness of IV acetaminophen to alternative analgesics (i.e., nonsteroidal anti-inflammatory drugs [NSAIDs]), alternative formulations (i.e., oral or rectal acetaminophen), or placebo for reducing opioid consumption in patients undergoing surgery.

A research information specialist conducted a literature search of peer-reviewed and grey literature sources published between January 1, 2019, and January 9, 2024. The search was limited to English-language documents. One reviewer screened articles for inclusion based on predefined criteria. To investigate the true effect of IV acetaminophen, we excluded studies with any intraoperative opioid use.

What Did We Find?

For adult patients undergoing elective hip surgery, there may be no significant differences in cumulative opioid use between postoperative IV and oral acetaminophen (1 randomized controlled trial).

For patients undergoing elective cesarian delivery, postoperative IV acetaminophen may result in a decrease in total morphine consumption after surgery compared to placebo (1 randomized controlled trial).

For adult patients undergoing lumbar disc surgery, there may be no significant differences in total morphine consumption for patients receiving intraoperative IV acetaminophen compared to placebo (1 systematic review with 1 relevant RCT).

We did not find any studies comparing the opioid-sparing effects of IV acetaminophen to NSAIDs that met our criteria for this review.

What Does It Mean?

Limited evidence from this review suggests that the opioid-sparing effect of IV acetaminophen may vary across types of surgery when compared to placebo. Additionally, IV acetaminophen may not offer additional opioid-sparing benefits compared to oral administration. However, we require more comprehensive research with rigorous methodological approaches to understand this topic better.

Relative to opioids, IV acetaminophen has a preferable side effect profile, including a low risk of dependence; therefore, decision-makers may wish to consider using this formulation in the surgical or postsurgical setting.
PROFIL TUGAS PERKEMBANGAN SISWA SD SHIGOR DAARUL QUR’AN PUTRA
Authors: Jauhar Nafisah Syifa , Azmi Wiantina Nur , Putri Kartika Dewi Nirmala
Published: March 2024

Penelitian ditujukan untuk mengetahui gambaran profil capaian tugas perkembangan siswa kelas IV SD Shigor Daarul Qur’an pada sepuluh aspek tugas perkembangan. Desain pada penelitian ini adalah deskriptif kuantitatif. Populasi dalam penelitian melibatkan 16 siswa kelas IV. Instrumen yang digunakan sebagai pengumpul data yaitu Inventori Tugas Perkembangan (ITP) kemudian dilakukan analisis data menggunakan software ATP. Hasil penelitian menunjukkan gambaran profil siswa kelas IV berada pada tingkat perlindungan diri (pld) dengan rata-rata tingkat perkembangan 2,96. Olehkarena itu, perlu ada tindak lanjut dari hasil temuan lapangan melalui kegiatan bimbingan dan konseling yang tepat agar siswa mampu mencapai tingkat perkembangan konformistik (kon) hingga sadar diri (sdi)
CONTRIBUIÇÕES DE AULAS PRÁTICAS PARA O ENSINO DE BIOLOGIA EM UMA ESCOLA DE SANTO ÂNGELO
Authors: Severo Marcos Vinicius , Soares Briseidy Marchesan
Published: March 2024

Tradicionalmente, a Biologia tem sido ensinada como um conjunto de fatos, descrição de fenômenos, enunciados e conceitos a decorar, sendo característica predominante desse ensino a passividade física e intelectual dos alunos. O ensino de Ciências Naturais e Biologia, em sua fundamentação teórica, requer uma relação constante entre a teoria e a prática, entre conhecimento cientifico e senso comum. Estas articulações são de extrema importância, uma vez que as disciplinas de Ciências e Biologia encontram-se subentendida como uma ciência experimental, de comprovação científica, articulada a pressupostos teóricos. Este trabalho teve como objetivo, por meio de uma pesquisa em uma escola estadual apresentar como as aulas práticas de biologia podem ser mais proveitosas para os alunos em termos de aquisição de conhecimento. A pesquisa de campo foi realizada na Escola Estadual de Ensino Médio Dr.º Augusto Nascimento e Silva , Santo Ângelo, RS para um total de doze alunos  utilizando o tema bactérias, foi aplicado um questionário antes para analisar o conhecimento prévio do aluno, e após uma aula pratica foi aplicado o mesmo questionário visando analisar o quanto o aluno aprendeu com a aula pratica. Após analisar os resultado dos dois questionário, foi possível concluir que os alunos tem noção das bactérias porém não conseguem relaciona-las com seu dia a dia, foi possível perceber que os alunos tem muito interesse pelas praticas, mas que uma pequena minoria dos docentes utilizam –se dessa didática em suas aulas, por mais que sabem da grande importância das aulas praticas na disciplina de biologia.
O DIAGNÓSTICO PRECOCE EM PACIENTES PORTADORES DE TRANSTORNO BIPOLAR: UMA REVISÃO DE LITERATURA
Authors: Moreira Caique Nunes , Oliveira Carla Resende Vaz , Figueiredo Júnior Hélcio Serpa de
Published: March 2024

O presente trabalho busca identificar estratégias para diagnóstico precoce do transtorno bipolar (TB), de acordo com o quadro apresentado. Como fonte de dados a Library Cochrane, a National Library of Medicine (PubMed), a Cochrane Library (CL) e o Directory of Open Access Journals (DOAJ) foram  usados com a busca dos artigos será feita utilizando os termos “Strategies”, “Early Diagnosis” e “Bipolar Disorder” além do operador booleano “and”, sendo incluídos artigos originais com o período de publicação entre 2018 e 2023 e artigos do tipo revisão foram excluídos deste estudo.  O quadro 1 demonstra as estratégias para diagnóstico precoce e suas conclusões. Dessa forma, foi observado a morfometria e girificação, distinção de sintomas prodrômicos, marcadores de massa cinzenta, ressonância nuclear magnética funcional, método CART, assinatura imunoinflamatória e rfMRI dinâmico.
AVALIAÇÃO DE MEDIDAS ANTROPOMÉTRICAS, GLICEMIA CAPILAR E FLEXIBILIDADE EM JOVENS UNIVERSITÁRIOS: ESTUDO TRANSVERSAL DESCRITIVO
Authors: Tuza Fábio Augusto D´Alegria , Moreira Amanda Vieira , Ribeiro Wanderson Alves , Moura Paulo Henrique de , Tuza Isabelle Godinho , Pedrozo Elaine Aparecida , Matos Washington da Silva , Marchini Beatriz da Rocha Gonçalves , Tavares Marilia Salete , Mafra Moreno Adalgiza
Published: March 2024

Atualmente, observa-se alta prevalência de fatores de risco para doenças cardiovasculares, como obesidade, sedentarismo e má alimentação entre os jovens. A obesidade é um problema de saúde pública que impacta diretamente a economia. Neste estudo transversal descritivo, os autores estão usando dados de uma pesquisa com um grupo de 51 voluntários, divididos em 02 grupos: Homens (n=17) e Mulheres (n=34). A coleta foi realizada no Campus I da Universidade Iguaçu – RJ. Foram avaliados risco cardiovascular, através de medidas antropométricas, flexibilidade e glicemia em jovens universitários. Observou-se alto índice de sedentarismo (86,2%) impactanto na redução da flexibilidade de tronco. Além de elevação dos níveis tensionais nos homens. A glicemia capilar ficou dentro do valor de corte (110 mg/dL). Em conclusão, este estudo demonstra a necessidade de orientação dos universitários quanto ao estilo de vida saudável e de programas de atividade física no campus voltados à redução do excesso de peso, com atenção especial aos estudantes do sexo masculino.
O DIREITO URBANÍSTICO E OS DIREITOS HUMANOS NO COMBATE A APOROFOBIA: UMA ANÁLISE ENTRE AS CIDADES DE PALMAS-TO E SÃO PAULO-SP
Authors: Nogueira Thalison Ribeiro , Camilo Christiane de Holanda
Published: March 2024

A arquitetura e o Direito podem trabalhar concomitantemente em prol dos Direitos Humanos. É com essa visão que por meio de uma análise entre Palmas e São Paulo, observamos neste estudo como o Direito Urbanístico pode ser usado no combate a aporofobia no Brasil, como as duas áreas podem se interligar para promover o Direito à cidade aos cidadãos marginalizados pela pobreza e em situação de rua, que além de conviver com o preconceito enraizado na sociedade, ainda sofrem com a denominada arquitetura hostil nos ambientes de convívio comum. Este estudo tem como objetivo abordar os conceitos da arquitetura hostil e da aporofobia e analisar as discussões legislativas que abordem o conteúdo citado. Para tanto, propõe-se analisar, registrar e discutir os pontos referentes aos temas abordados. Sendo esta uma pesquisa qualitativa e quantitativa, que se utilizou de  revisão bibliográfica e documental no âmbito de leis, normas e regulamentos, e utilizando fontes de diferentes áreas do conhecimento, como Direito, Sociologia e Arquitetura.
PREDIÇÃO DE INSOLVÊNCIA DE EMPRESAS ATRAVÉS DA INTELIGÊNCIA ARTIFICIAL - TÉCNICAS DE APRENDIZADO DE MÁQUINA
Authors: Almeida Rafael , Sales George , Nunes Rodolfo Vieira Nunes
Published: March 2024

Qualquer empresa que possua um processo de tomada de decisões em relação a concessão de crédito mais ágil e com um modelo confiável  servindo de apoio para as análises de insolvência das organizações terá vantagens no mercado. Assim, o objetivo deste artigo foi desenvolver e testar um modelo de predição de insolvência com base no aprendizado em máquina. A metodologia do artigo enquadra-se por meio de uma pesquisa bibliográfica, descritiva e quantitativa. Para a amostra da pesquisa foram selecionadas 24 empresas de capital aberto do setor de comércio, e a base de dados utilizada para a coleta foi a Economatica no período entre 2014 e 2019. O modelo preditivo desenvolvido está estruturado baseado em 16 variáveis preditoras, onde existem informações financeiras e não financeiras, e a verificação do modelo se faz por meio de uma análise ferramental CheckUp+. As evidências mostram que o modelo embasado na aprendizagem de máquina conseguiu alcançar bons patamares de acerto e previsibilidade nas verificações, os valores são semelhante aos modelos de previsão tradicionais baseados em análise discriminante e regressão. O trabalho é relevante, pois contribui para a teoria e para a prática com o aprimoramento dos modelos de previsões de risco, e fornece suporte para as instituições financeiras tomarem decisões mais assertivas sobre concessões de crédito.
A IMPLANTAÇÃO DO PMO E O NÍVEL DE COMPETÊNCIAS EM PROJETOS DOS FUNCIONÁRIOS PÚBLICOS: AS LIÇÕES APRENDIDAS PELA ADMINISTRAÇÃO PÚBLICA NA CIDADE DE OSASCO.
Authors: RAMOS ANDRE
Published: March 2024

No âmbito da gestão pública, a cada dia fica mais evidente a necessidade da profissionalização e adequações com as melhores práticas de gestão do mercado privado, visando principalmente melhores resultados e responsabilidade com o dinheiro público. Dentro desse contexto as organizações públicas vêm buscando o espelhamento de suas estruturas organizacionais e processos com as praticadas no mercado corporativo, a fim de alcançar resultados positivos em seus projetos. O objetivo deste relato técnico é apresentar as lições aprendidas na implantação do PMO - Project Management Office e o nível de competências em projetos dos funcionários públicos. Devido ao envolvimento do autor durante a ação de implantação e pesquisa, o trabalho foi elaborado como uma pesquisa-ação. Dentro os resultados obtidos, verifica-se a necessidade de melhoria ou até mesmo reavaliação total da implantação, devido aos diversos pontos apresentados nas lições aprendidas (até o momento).
Sodobno slovensko, dvo- in večjezično gledališče v koroškem kontekstu
Authors: Leben Andrej
Published: March 2024

For many years, bilingual and multilingual practices have been one of the distinctive features of contemporary theatre work by the Slovenian minority in Carinthia. More recently, they can also be observed in the productions of other Carinthian theatres, both non-institutional and institutional, with which actors from minority backgrounds repeatedly collaborate. Some have (co-)founded new bilingual and multilingual theatre structures within or outside this environment. Others are working simultaneously to a greater or lesser extent in theatres in the wider German and Slovenian language area and elsewhere, including in the fields of directing, choreography, acting, set design and theatre music, as well as in television and film productions. Given that these phenomena have not yet been systematically explored in detail, the article outlines the contemporary Slovenian bilingual and multilingual theatre scene in Carinthia, its structures, activities and staging practices. Based on the current range of the manifold activities, it also addresses the question of how to conceptually encompass these diverse practices.
Double moment normalization of hail size number distributions over Switzerland
Authors: Ferrone Alfonso , Kopp Jérôme , Lainer Martin , Gabella Marco , Germann Urs , Berne Alexis
Published: March 2024

Abstract. Measurements of hailstone diameters and kinetic energy, collected by the Swiss network of automatic hail sensors, are available in three regions of Switzerland for the period between September 2018 and August 2023. In this study, we propose the use of double moment normalization for modeling the hail size number distribution (HSND), which is defined as the number of hailstone impacts measured, for each diameter size, by one instrument during one hail event. This method uses two of the empirical moments of the HSND to compute a normalized distribution. While the HSND is dependent on the duration and intensity of the event and on the detection area of the sensor, we show that the normalized distribution has limited variability across the three geographical regions of deployment of the sensors. Thanks to its invariance in space and time, a generalized gamma is used to model the normalized distribution, and its parameters have been determined through a fit over approximately 70 % of the events. The fitted model and the previously chosen pair of empirical moments can be used to reconstruct the HSND at any location in Switzerland. The accuracy of the reconstruction has been estimated over the remaining 30 % of the dataset. An additional evaluation has been performed on an independent HSND, made of estimates of hail diameters measured by drone photogrammetry during a single event. This HSND has a much larger number of hailstone impacts (18000) than those of the hail sensor events (from 30 to 400). The double moment normalization is able to reproduce well the HSND recorded by the hail sensors and the drone, albeit with an underestimation of the number of impacts at small diameters. These results highlight the invariance of the normalized distribution and the adaptability of the method to different data sources.
Interaction between marine and terrestrial biogenic volatile organic compounds: Non-linear effect on secondary organic aerosol formation
Authors: Chen Xiaowen , Du Lin , Yang Zhaomin , Zhang Shan , Tsona Tchinda Narcisse , Li Jianlong , Li Kun
Published: March 2024

Abstract. Biogenic volatile organic compounds (BVOCs) are the largest source of secondary organic aerosols (SOA) globally. However, the complex interactions between marine and terrestrial BVOCs remain unclear, inhibiting our in-depth understanding of the SOA formation in the coastal areas and its environmental impacts. Here, we performed smog chamber experiments with mixed α-pinene (a typical monoterpene) and dimethyl sulfide (DMS, a typical marine emission BVOC) to investigate their possible interactions and subsequent SOA formation. It is found that DMS has a non-linear effect on SOA generation: the mass concentration and yield of SOA show an increasing and then decreasing trend with the increase of the initial concentration of DMS. The increasing trend can be attributed to OH regeneration together with acid-catalyzed heterogeneous reactions by the oxidation of DMS, while the decreasing trend is explained by the high OH reactivity that inhibits the formation of low volatility products. The results from infrared spectra and mass spectra together reveal the contribution of sulfur-containing molecules in the mixed system. Moreover, the mass spectra results indicate that acidic products generated by DMS photooxidation enhance the O:C ratio, while organosulfates are produced to contribute to the formation of mixed SOA. In addition, the trends in relative abundance of highly oxygenated organic molecules (HOMs) with C8-C10 multiple functional groups in different mixed systems agree well with the turning point of the SOA yield. The findings of this study have significant implications for understanding binary or more complex systems in the atmosphere in the coastal areas.
Development of a HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution
Authors: Roccetti Giulia , Bugliaro Luca , Gödde Felix , Emde Claudia , Hamann Ulrich , Manev Mihail , Sterzik Michael Fritz , Wehrum Cedric
Published: March 2024

Abstract. Surface albedo is an important parameter in radiative transfer simulations of the Earth's system, as it is fundamental to correctly calculate the energy budget of the planet. The Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on NASA's Terra and Aqua satellites continuously monitor daily and yearly changes in reflection at the planetary surface. The MODIS Surface Reflectance dataset (MCD43C3, Version 6.1) gives detailed albedo maps in seven different spectral bands in the visible and near-infrared range. These albedo maps allow us to classify different Lambertian surface types and their seasonal and yearly variability and change, albeit only in seven spectral bands. However, a complete set of albedo maps covering the entire wavelength range is required to simulate radiance spectra, and to correctly retrieve atmospheric and cloud properties from Earth's remote sensing. We use a Principal Component Analysis (PCA) regression algorithm to generate hyperspectral albedo maps of Earth. Combining different datasets of hyperspectral reflectance laboratory measurements for various dry soils, vegetation surfaces, and mixtures of both, we reconstruct the albedo maps in the entire wavelength range from 400 to 2500 nm. The PCA method is trained with a 10-years average of MODIS data for different times of the year. We obtain hyperspectral albedo maps with a spatial resolution of 0.05° in latitude and longitude, a spectral resolution of 10 nm, and a temporal resolution of 8 days. Using the hyperspectral albedo maps, we estimate the spectral profiles of different land surfaces, such as forests, deserts, cities and icy surfaces, and study their seasonal variability. These albedo maps shall enable to refine calculations of Earth's energy budget, its seasonal variability, and improve climate simulations.
Technical note: RA138 Calcite U-Pb LA-ICP-MS primary reference material
Authors: Guillong Marcel , Samankassou Elias , Müller Inigo A. , Szymanowski Dawid , Looser Nathan , Tavazzani Lorenzo , Merino-Tomé Óscar , Bahamonde Juan R. , Buret Yannick , Ovtcharova Maria
Published: March 2024

Abstract. A promising primary reference material for U-Pb LA-ICP-MS carbonate dating is analysed and reported here. The new RM is a botryoidal cement (C1) from sample RA138. The sample was collected in outcrop strata of mid-Carboniferous (Uppermost Mississippian, upper Serpukhovian) in northern Spain near La Robla, and multiple aliquots have been meticulously prepared for distribution. The RA138 is characterised by variable U/Pb ratios (from ~1 to ~19) and a relatively high and homogeneous U content (~4 ppm). This material exhibits a low age uncertainty (0.2 %, 2s; unanchored, ID-TIMS), allowing for the establishment of a well-defined isochron, particularly when anchored to the initial Pb ratio using LA-ICP-MS. ID-TIMS analyses of micro drilled C1 cement (17 sub-samples) produce a lower intercept age of 321.99 ± 0.65 Ma, an initial 207Pb/206Pb ratio of 0.8495 ± 0.0065, and a Mean Square of Weighted Deviations (MSWD) of 5.1. The systematic uncertainty of 1.5 % observed in repeated LA-ICP-MS analyses challenges previous estimations of 2–2.5 % based on repeated analyses of ASH-15D and JT using WC-1 as primary reference material, underscoring the precision and reliability of RA138 for U-Pb dating applications.
The Global Forest Fire Emissions Prediction System version 1.0
Authors: Anderson Kerry , Chen Jack , Englefield Peter , Griffin Debora , Makar Paul , Thompson Dan
Published: March 2024

Abstract. The Global Forest Fire Emissions Prediction System (GFFEPS) is a model that estimates biomass burning in real time for global air-quality forecasting. The model uses a bottom-up approach, based on remotely-sensed hotspot locations and global databases linking burned area per hotspot to ecosystem-type classification at a 1-km resolution. Unlike other global forest fire emissions models, GFFEPS provides dynamic estimates of fuel consumption and fire behaviour based on the Canadian Forest Fire Danger Rating System. Combining forecasts of daily fire weather and hourly meteorological conditions with a global land classification, GFFEPS produces fuel consumption and emission predictions in 3-hour time steps (in contrast to non-dynamic models that use fixed consumption rates and require collection of burned area to make post-burn estimates of emissions). GFFEPS has been designed for use in near-real-time forecasting applications as well as historical simulations for which data are available. A study was conducted running GFFEPS through a six-year period (2015–2020). Regional annual total smoke emissions, burned area and total fuel consumption per unit area as predicted by GFFEPS were generated to assess model performance over multiple years and regions. The model distinguished grass-dominated regions from forested, while also showed high variability in regions affected by El Niño and deforestation. GFFEPS carbon emissions and burned area were then compared to other global wildfire emissions models, including GFAS, GFED4.1s and FINN1.5/2.5. GFFEPS estimated values lower than GFAS/GFED (80 %/74 %), and estimated values similar to FINN1.5 (97 %). This was largely due to the impact of fuel moisture on consumption rates as captured by the dynamic weather modelling. An effort is underway to validate the model, with further developments and improvements expected.
Probabilistic surrogate modeling of damage equivalent loads on onshore and offshore wind turbines using mixture density networks
Authors: Singh Deepali , Dwight Richard , Viré Axelle
Published: March 2024

Abstract. The use of load surrogates in offshore wind turbine site assessment has gained attention as a way to speed up the lengthy and costly siting process. We propose a novel probabilistic approach using mixture density networks to map 10-minute average site conditions to the corresponding load statistics. The probabilistic framework allows for the modeling of the uncertainty in the loads as a response to the stochastic inflow conditions. We train the data-driven model on the OpenFAST simulations of the IEA-10MW-RWT and compare the predictions to the widely used Gaussian process regression. We show that mixture density networks can recover the accurate mean response in all load channels with values for the coefficient of determination (R2) greater than 0.95 on the test dataset. Mixture density networks completely outperform Gaussian process regression in predicting the quantiles, showing an excellent agreement with the reference. We compare onshore and offshore sites for training to conclude the need for a more extensive training dataset in offshore cases due to the larger feature space and more noise in the data.
Modelling of Physical Properties for Prediction of Internal Quality Attributes of Kinnow
Authors: Manpreet Kaur Grewal  , Nilesh N. Gaikwad S .N. Jha D. M. Kadam Jaspreet Kaur  , Harleen Kaur
Published: March 2024

Kinnow mandarin is a common citrus fruit grown commercially in north India. It is a rich source of vitamin C having high juice content and relished for its distinct flavour. Outer skin blemishes and shiny appearance are the primary parameters for quality assessment after harvesting, but the internal quality attributes of fruit are ignored due to lack of sorting methods. Models were developed for predictionof total soluble solids (TSS in 0Brix) and Brix to acid ratio (BAR) from the physical attributes such as geometrical mean diameter (Dg), colour (Hunter a/b ratio) and fruit density (ρ) measured non-destructively. The physical and chemical attributes were fitted in eight models using multiple linear regressions (MLR). The correlation coefficientsfor calibration and prediction of model (no. 4) fitted for variables Dg, colour and ρ for determination of TSS were 0.86 and 0.85, respectively. Similarly, the model (no. 8) relating three physical variables with BAR had correlation coefficients for calibration and prediction of 0.83 and 0.81, respectively. Besides satisfactory correlation coefficients, both the models exhibited low standard error of calibration and prediction as 0.95, 0.98 and 1.88, 1.94, respectively. The modelled correlation between physical and internal quality attributes can be a basis for development of low cost non-destructive sorting of kinnow mandarin.
Development of Solar Powered Intermittent Adsorption Refrigeration System
Authors: Tilak V. Chavda  , Naveen Kumar  , A. Sreekumar
Published: March 2024

A laboratory scale prototype of solar powered solid adsorption refrigeration system, using ammonia as refrigerant
Drying Characteristics of Rose Flowers
Authors: Jaydipsinh B. Raol  , Mahendrasinh T. Kumpavat  , D.M. Vyas
Published: March 2024

Full boom rose was dried by employing different drying methods such as hot air drying at 40, 50 and 60 0C, microwave oven drying with silica gel at 50 0C, vacuum drying at 40 0C and 760 mm Hg pressure besides solar and shade drying to find out the most suitable method and parameters. The Exponential and Page’s model were tested for their validity. Page’s model was found to fit best. The maximum and minimum drying time for rose flowers was 5 days in shade and 13 minutes in microwave oven. Drying of rose flowers under all treatments completely took place in the falling rate period. Maximum overall drying rate of 5.87 %/min was during microwave oven drying with silica gel at 50oC, followed by vacuum drying at 40oC. Microwave oven drying of rose flowers at 50oC with silica gel was found the best from the reduction in size point of view.
Hemostatic and liver function parameters as COVID-19 severity markers
Authors: Iqbal Qanita , Mudatsir Mudatsir , Harapan Harapan , Nurjannah Nurjannah , Maulana Teuku
Published: March 2024

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a disease newly discovered in December 2019 which affects coagulation cascade and liver functions. The aim of this study was to investigate the potential of hemostatic and liver function parameters as severity markers in COVID-19 patients. This study was an observational analytic with cohort retrospective design using total sampling method. Data were retrieved from medical record of COVID-19 patients admitted to provincial hospital in Banda Aceh, Indonesia from March 2020 to March 2022. There were 1208 data eligible for the study after applying certain criteria. Mann–Whitney, logistic regression, and receiving operating characteristic (ROC) analyses were used to analysis the data. Thrombocyte count (p<0.001), prothrombin time (p<0.001), activated partial thromboplastin time (p<0.001), D-dimer (p<0.001), fibrinogen (p<0.001), aspartate aminotransferase (p<0.001), and alanine transaminase (p<0.001) significantly increased in severe compared to mild COVID-19 patients. After being adjusted, age (odds ratio (OR); 1.026 (95% confidence interval (CI): 1.016–1.037) was the most significant factor in predicting COVID-19 severity. Fibrinogen (cut-off 526.5 mg/L) was the best parameter associated with COVID-19 severity with 70% sensitivity and 66.4% specificity. Meanwhile, D-dimer (cut-off 805 ng/mL) had a sensitivity of 72.3% and specificity of 66.4%. Combining the parameters resulted in improved sensitivity to 82.0% with a slight decline of specificity to 65.5%. In conclusion, fibrinogen and D-dimer level on admission could be used as biomarkers in predicting COVID-19 prognosis. Routine monitoring and evaluation of laboratory testing especially D-dimer and fibrinogen could be implemented in order to reduce morbidity and mortality rate of COVID-19.
Fenomena Layanan Video on Demand Sebagai Pengganti Bioskop di Kalangan Masyarakat Indonesia
Authors: Anjani Alfitra Dewi , Sujarwo Sujarwo
Published: March 2024

Aktivitas menonton film adalah suatu kegiatan yang dilakukan oleh banyak orang sebagai penghilang rasa penat setelah melakukan berbagai kegiatan sehari-hari yang cukup melelahkan. Menonton film baru dahulu  hanya bisa dilakukan dengan kita pergi ke bioskop dengan jam tayang film yang sudah ditentukan, namun kegiatan tersebut terhambat ketika pandemi covid-19 melanda kehidupan manusia. Peraturan pemerintah yang melarang berkerumunan di luar rumah, mengharuskan banyak tempat umum harus tutup, salah satunya adalah bioskop. Maka dari itu, aktivitas hanya dapat dilakukan dirumah saja. Perubahan perilaku masyarakat ini semakin terdorong karena adanya pandemi covid-19, salah satunya adalah dengan adanya penggunaan teknologi. Kemajuan teknologi yang terus meningkat memudahkan berbagai aktivitas manusia, kini kita dapat menggunakan media online kapanpun dan dimanapun, termasuk media online streaming video on demand seperti Youtube, Netflix, Disney Hotstar+, VIU, Video, dan sebagainya. Artikel ini menjelaskan bagaimana terjadinya fenomena perilaku konsumen masyarakat, khususnya para generasi muda yang beralih dari awalnya menonton di bioskop menjadi menonton melaui platform online. Metode yang digunakan pada artikel ini adalah metode deskriptif dengan pendekatan kualitatif, data yang diperoleh pada artikel ini melalui studi pustaka serta penyebaran angket kuesioner pada 29 responden yang dilakukan pada tanggal bulan juli 2023. Berdasarkan angket kuesioner tersebut dapat ditemukan beberapa informasi, diantaranya adalah sebanyak 44.8% responden sangat setuju jika video on demand lebih fleksibel untuk ditonton kapan saja dan dimana saja. kemudian sebanyak 55.2% responden setuju jika penggunaan layanan video on demand kompatibel dengan teknologi yang dilakukan oleh responden.
Pendidikan Profetik Bagi Anak Era Klasik Antara Teologi Iqra’ Dan Politik Kenabian
Authors: Zaeni Ahmad Zaeni
Published: March 2024

Riset ini dilakukan untuk menelusuri sejauh mana jejak keandalan konsep Pendidikan Profetik bagi anak yang pernah mencapai puncak keberhasilan di era Islam klasik. Pendidikan Islam dinilai telah mencapai puncaknya di era Islam awal hingga peradaban Islam klasik era dinasti Abbasiyah, namun terjadi tarik menarik antara dua kutub. Di satu sisi faktor politik (kebijakan pendidikan) dinilai menjadi penentu keberhasilan kaderisasi umat Islam Awal, sedangkan Pendidikan Islam dengan basis teologi Iqra’ dinilai sebagai ideologi yang statis.  Di sisi lain, Pendidikan Islam dinilai sebagai kunci penentunya karena teologi Iqra menjadi basis bagi pendidikan profetik yang bersifat dinamis. Untuk menangani masalah riset ini, periset menggunakan pendekatan historis, metode analisis induktif dan teori politik kenabian. Hasil riset ini adalah pertama, Pendidikan Profetik bagi anak telah dicontohkan oleh Nabi sendiri dan dikembangkan oleh Khulafa al-Rasyidin hingga Kekhilafahan Umayah dan Abbasiyah sebagai pelanjut Pendidik Profetik; kedua, di era kejayaan Islam terjadi persinggungan antara teologi Iqra’ dan Politik yang melahirkan Dinamika Pendidikan Profetik dengan jalan ittiba’ kepada Nabi secara manhaji (metodis).
Sosialisasi Partisipasi Politik Masyarakat Desa Cisaat untuk Pemilihan Umum 2024
Authors: Syafrudin Iqbal
Published: March 2024

Penelitan ini dilakukan di desa Cisaat dengan mengusung tema partisipasi politik dan memiliki tujuan untuk memberikan pengetahuan serta pemahaman masyarakat desa mengenai partisipasi politik, peran politik, serta bentuk-bentuk partisipasi politik dalam pemilihan umum yang nantinya kami berharap bahwa masyarakat dapat tergugah hatinya untuk dapat berpartisipasi aktif pada pemilihan umum 2024 pada tingkatan yang lebih tinggi lagi dari sekedar menjadi pemilih saja. Pengabdian ini menggunakan metode kolaboratif antar dosen program studi PPKN dengan mitra pengabdian yaitu desa Cisaat. Kegiatan pengabdian ini di dalamnya terdapat berbagai kegiatan demi menunjang sebuah tujuan yang dicanankan oleh dosen pelaksana pengabdian diataranya sosialisasi, diskusi interaktif terkait pemilu 2024 dan terkait partisipasi politik, dan praktik pelaksanaan partisipasi politik. Lewat kegiatan-kegiatan yang dilaksanakan pada pengabdian ini para warga memahami betapa pentingnya partisipasi mereka dalam kegiatan politik baik politik desa hingga politik yang berskala nasional.
STAD cooperative learning model to improve scientific attitudes and learning outcomes grade VIII students of SMPN 3 Pacitan
Authors: Wahyuningsih Diah , Alquriyah Yusroh
Published: March 2024

Learning is basically a process of changing attitudes due to experience. This study aims to determine the improvement of scientific attitudes and student learning outcomes. This research is a Classroom Action Research (PTK) and was conducted in three cycles. Data were collected using observation, questionnaire and test methods. The results of the analysis using the t-test were obtained: The scientific attitude of students has increased in each cycle, indicated by an increase in the number of students who fall into the category of good scientific attitude. The completeness of students' affective learning outcomes in cycle I was 70%, then increased to 80% in cycle II and 92% in cycle III. The completeness of students' psychomotor learning outcomes in cycle I was 57.5%, 80% in cycle II and 92.5% in cycle III. The classical completeness of students' cognitive learning outcomes in cycle I was 60%, then decreased to 55% in cycle II and increased to 87.5% in cycle III. From the analysis, it can be concluded that the Student Teams Achievement Divisions (STAD) cooperative learning model can improve students' scientific attitudes and learning outcomes.
Analiza potencjału produkcyjnego oraz sytuacji ekonomiczno-finansowej gospodarstw sadowniczych w regionie Małopolska i Pogórze
Authors: Jadwiga Szymańska Elżbieta , Rysz Maria
Published: March 2024

Celem artykułu było rozpoznanie znaczenia dopłat do działalności operacyjnej w kształtowaniu wyników ekonomicznych gospodarstw sadowniczych regionu Małopolska i Pogórze. Obszar badań obejmował wyodrębniony w ramach FADN Region 800 w Polsce – Małopolska i Pogórze, który charakteryzuje się dużym rozdrobnieniem agrarnym i rozwojem produkcji sadowniczej. Badania przeprowadzono na podstawie kwestionariusza ankiety w 45 gospodarstwach sadowniczych. W analizie danych zastosowano metodę opisową oraz współczynnik korelacji rang Spearmana. Z przeprowadzonych badań wynika, że sadownicy otrzymywali środki finansowe w postaci dotacji i dopłat unijnych z różnych programów. Najwięcej z nich korzystało z funduszy dostępnych w ramach programów PROW 2007–2013. Bardziej powszechną formą pomocy unijnej były płatności bezpośrednie. Uzyskane środki finansowe przeznaczano głównie na unowocześnienie parku maszynowego oraz bieżące potrzeby (zakup środków do produkcji). Z dokonanych analiz wynika, że w strukturze dochodów części gospodarstw duży był udział dopłat do działalności operacyjnej. Na podstawie korelacji rang Spearmana nie wykazano jednak współzależności między dopłatami i dochodowością oraz rentownością gospodarstw sadowniczych