bluuebunny/crossref_metadata_2025 huggingface dataset:
Consequences of Data Loss on Clinical Decision-Making in Continuous Glucose Monitoring: Retrospective Cohort Study
Authors: den Braber Niala , Braem Carlijn I R , Vollenbroek-Hutten Miriam M R , Hermens Hermie J , Urgert Thomas , Yavuz Utku S , Veltink Peter H , Laverman Gozewijn D
Published: July 2024

Background

The impact of missing data on individual continuous glucose monitoring (CGM) data is unknown but can influence clinical decision-making for patients.

Objective

We aimed to investigate the consequences of data loss on glucose metrics in individual patient recordings from continuous glucose monitors and assess its implications on clinical decision-making.

Methods

The CGM data were collected from patients with type 1 and 2 diabetes using the FreeStyle Libre sensor (Abbott Diabetes Care). We selected 7-28 days of 24 hours of continuous data without any missing values from each individual patient. To mimic real-world data loss, missing data ranging from 5% to 50% were introduced into the data set. From this modified data set, clinical metrics including time below range (TBR), TBR level 2 (TBR2), and other common glucose metrics were calculated in the data sets with and that without data loss. Recordings in which glucose metrics deviated relevantly due to data loss, as determined by clinical experts, were defined as expert panel boundary error (εEPB). These errors were expressed as a percentage of the total number of recordings. The errors for the recordings with glucose management indicator <53 mmol/mol were investigated.

Results

A total of 84 patients contributed to 798 recordings over 28 days. With 5%-50% data loss for 7-28 days recordings, the εEPB varied from 0 out of 798 (0.0%) to 147 out of 736 (20.0%) for TBR and 0 out of 612 (0.0%) to 22 out of 408 (5.4%) recordings for TBR2. In the case of 14-day recordings, TBR and TBR2 episodes completely disappeared due to 30% data loss in 2 out of 786 (0.3%) and 32 out of 522 (6.1%) of the cases, respectively. However, the initial values of the disappeared TBR and TBR2 were relatively small (<0.1%). In the recordings with glucose management indicator <53 mmol/mol the εEPB was 9.6% for 14 days with 30% data loss.

Conclusions

With a maximum of 30% data loss in 14-day CGM recordings, there is minimal impact of missing data on the clinical interpretation of various glucose metrics.

Trial Registration

ClinicalTrials.gov NCT05584293; https://clinicaltrials.gov/study/NCT05584293
Physiological Response to the COVID-19 Vaccine: Insights From a Prospective, Randomized, Single-Blinded, Crossover Trial
Authors: Markovic Andjela , Kovacevic Vladimir , Brakenhoff Timo B , Veen Duco , Klaver Paul , Mitratza Marianna , Downward George S , Grobbee Diederick E , Cronin Maureen , Goodale Brianna M ,   COVID-19 Remote Early Detection (COVID-RED) consortium
Published: July 2024

Background

Rapid development and implementation of vaccines constituted a crucial step in containing the COVID-19 pandemic. A comprehensive understanding of physiological responses to these vaccines is important to build trust in medicine.

Objective

This study aims to investigate temporal dynamics before and after COVID-19 vaccination in 4 physiological parameters as well as the duration of menstrual cycle phases.

Methods

In a prospective trial, 17,825 adults in the Netherlands wore a medical device on their wrist for up to 9 months. The device recorded their physiological signals and synchronized with a complementary smartphone app. By means of multilevel quadratic regression, we examined changes in wearable-recorded breathing rate, wrist skin temperature, heart rate, heart rate variability, and objectively assessed the duration of menstrual cycle phases in menstruating participants to assess the effects of COVID-19 vaccination.

Results

The recorded physiological signals demonstrated short-term increases in breathing rate and heart rate after COVID-19 vaccination followed by a prompt rebound to baseline levels likely reflecting biological mechanisms accompanying the immune response to vaccination. No sex differences were evident in the measured physiological responses. In menstruating participants, we found a 0.8% decrease in the duration of the menstrual phase following vaccination.

Conclusions

The observed short-term changes suggest that COVID-19 vaccines are not associated with long-term biophysical issues. Taken together, our work provides valuable insights into continuous fluctuations of physiological responses to vaccination and highlights the importance of digital solutions in health care.

International Registered Report Identifier (IRRID)

RR2-10.1186/s13063-021-05241-5
Geospatial Modeling of Deep Neural Visual Features for Predicting Obesity Prevalence in Missouri: Quantitative Study (Preprint)
Authors: Dahu Butros M , Khan Solaiman , Toubal Imad Eddine , Alshehri Mariam , Martinez-Villar Carlos I , Ogundele Olabode B , Sheets Lincoln R , Scott Grant J
Published: July 2024

BACKGROUND

The global obesity epidemic demands innovative approaches to understand its complex environmental and social determinants. Spatial technologies, such as geographic information systems, remote sensing, and spatial machine learning, offer new insights into this health issue. This study uses deep learning and spatial modeling to predict obesity rates for census tracts in Missouri.

OBJECTIVE

This study aims to develop a scalable method for predicting obesity prevalence using deep convolutional neural networks applied to satellite imagery and geospatial analysis, focusing on 1052 census tracts in Missouri.

METHODS

Our analysis followed 3 steps. First, Sentinel-2 satellite images were processed using the Residual Network-50 model to extract environmental features from 63,592 image chips (224×224 pixels). Second, these features were merged with obesity rate data from the Centers for Disease Control and Prevention for Missouri census tracts. Third, a spatial lag model was used to predict obesity rates and analyze the association between deep neural visual features and obesity prevalence. Spatial autocorrelation was used to identify clusters of obesity rates.

RESULTS

Substantial spatial clustering of obesity rates was found across Missouri, with a Moran I value of 0.68, indicating similar obesity rates among neighboring census tracts. The spatial lag model demonstrated strong predictive performance, with an R2 of 0.93 and a spatial pseudo R2 of 0.92, explaining 93% of the variation in obesity rates. Local indicators from a spatial association analysis revealed regions with distinct high and low clusters of obesity, which were visualized through choropleth maps.

CONCLUSIONS

This study highlights the effectiveness of integrating deep convolutional neural networks and spatial modeling to predict obesity prevalence based on environmental features from satellite imagery. The model’s high accuracy and ability to capture spatial patterns offer valuable insights for public health interventions. Future work should expand the geographical scope and include socioeconomic data to further refine the model for broader applications in obesity research.
Interpretasi Makna Tekstual pada Teks Pemberitaan Media Palestina Al-Ayyam.ps (Analisis Linguistik Sistemik Fungsional)
Authors: Nuranti Syafitri , Masyhur  , Anam Faqihul
Published: July 2024

Penelitian ini bertujuan untuk mengetahui interpretasi makna tekstual yang terdapat dalam teks pemberitaan media Palestina Al-Ayyam.ps tentang penolakan partisipasi timnas Israel oleh masyarakat Indonesia pada Piala Dunia Sepak Bola U-20 berdasarkan jenis tema dalam struktur tematik dengan pendekatan Linguistik Sistemik Fungsional. Penelitian ini adalah penelitian kualitatif dengan metode deskriptif. Penelitian ini termasuk penelitian bahasa secara sinkronis. Sumber data pada penelitian ini ialah website berita Al-Ayyam.ps. Penelitian ini menggunakan metode pengumpulan data berupa metode dokumentasi dan metode simak dengan teknik sadap bahasa tulis, simak bebas libat cakap, dan catat. Metode analisis data pada penelitian ini adalah metode agih dengan teknik Bagi Unsur Langsung. Metode penyajian hasil analisis data yang digunakan pada penelitian ini ialah metode informal. Dari analisis penelitian, diketahui bahwa tematisasi pada TPA didominasi oleh tema topikal takbermarkah. Oleh karena itu, dapat disimpulkan bahwa secara tekstual, para tenor pada TPA selalu menempatkan proses/predikat sebagai inti dalam memberi informasi yang terjadi di dalam TPA tersebut.
Women, Peace and Security Agenda in Africa
Authors: Chigudu Daniel
Published: July 2024

The complex opportunities and challenges of the Women, Peace and Security (WPS) Agenda articulated in the UN Security Council Resolution 1325 of 2000, and other successive resolutions, subject themselves to the proverbial interpretation of either a cup half-empty or a cup half-full. The WPS is a progressive agenda for gender programmes in Africa. The downside is that the WPS agenda appears not known beyond policy and activist circles in the continent. This study sought to interrogate the progress made by the WPS agenda in Africa since the UNSCR 1325 was adopted using secondary research and content analysis (CA) of current literature. It was revealed that despite some challenges faced the gender perspective is not deficient in peacekeeping operations (PKOs) except in peace agreements, but that gender 1325 commitments are mirrored in the mandates of PKOs. The African Union-United Hybrid Operation in Darfur (UNAMID), showed the least WPS agenda consideration but the United Nations Multidimensional Integrated Stabilisation Mission in the Central African Republic (MINUSCA) significantly reflected this. For the rest of Africa, it remains unclear if the agenda is stagnating or going forward. There is a host of structural challenges rooted in masculinity issues and patriarchal mind-sets among others.
An Overview of Cognitive Strategies in SLA of English in 21st Century
Authors: Lin Xiaomeng
Published: July 2024

Cognitive linguistics scrutinizes the close relationship between the human brain, mind and SLA. Since the beginning of the 21st century, many new paradigms and approaches have emerged in this domain of SLA. Based on English as L2, this paper delves into the review in cognitive dimension from three main aspects: cognitive linguistics represented by constructional grammar, empirical cognitive science represented by neural-brain science and corpus research, as well as category and metaphor-related theories in cognitive semantics. These cognitive perspectives and strategies are interconnected and complementary, constituting a general and comprehensive sketch of new paradigms in cognitive SLA. This paper summarizes and analyzes how cognitive linguistics and cognitive science in the 21st century can provide coherent and appropriate theoretical guidance and methodological reference for the study of SLA, and meanwhile criticize and reflect on the shortcomings of the current research field and offers suggestions for future research directions.
Research on the Impact of Business Model Innovation on Firm Performance under the Background of Digital Transformation
Authors: Zheng Yanjie
Published: July 2024

In today's rapidly changing market environment, digital transformation has become an important driving force for business survival and development. With the continuous progress of technology, enterprises are facing the pressure of transformation, but also ushered in the opportunity of business model innovation. Through literature review, case studies and empirical research, this paper will analyze the innovative business models adopted by enterprises in implementing digital transformation, and explore how these models affect various dimensions of enterprise performance. It is found that business model innovation not only improves the operational efficiency of enterprises, but also improves the customer experience, thus significantly improving the market competitiveness of enterprises. Finally, this paper puts forward some suggestions for enterprises to implement business model innovation in the process of digital transformation, in order to provide reference for practice.
Meditaciones Stratherianas
Authors: González Marcelo , Di Giminiani Piergiorgio
Published: July 2024

In this article we illustrate the implications of the principle raised by anthropologist Marilyn Strathern in her lecture Always relating (2024), by contextualizing them in two Amerindian examples. In doing so, we highlight the importance of pursuing an introspective reflection challenging the very terms through which anthropology operates. Also, we observe how Strathern’s thoughts on anthropological thinking might shed light on some unnoticed aspects of ethnographic description on Amerindian philosophies, as for the relation between object and subject.
Capital ficticio y extractivismo: los títulos de propiedad en las empresas extractivas
Authors: López Terán Héctor
Published: July 2024

El presente estudio analiza el papel del capital ficticio en los títulos de propiedad de las empresas extractivas en el contexto del extractivismo, una función inherente al capitalismo. Estos títulos, como fuente de financiamiento externo, influyen en la gestión empresarial al priorizar los rendimientos para los accionistas. Se examina también cómo este financiamiento impacta en las actividades extractivas en países periféricos, donde la composición de capital refleja un compromiso a corto plazo con los accionistas, afectando el ritmo productivo y la búsqueda de rendimientos futuros. También se exploran las implicaciones de las finanzas en la organización del sector extractivo y su influencia en la estructura del capitalismo dependiente en los países periféricos, en el marco del capitalismo financiarizado.
Safety Helmet Wearing Detection Model Based on Improved YOLO-M
Authors: Girisha H. , Yasmeen Sameena
Published: July 2024

Abstract: The existing helmet-wearing detection algorithm's weaknesses such as many parameters, substantial detection interferences, and poor detection accuracy. We proposes a new helmet wearing detection model called YOLO-M, which uses MobileNetv3 as the backbone set of connections for feature removal, which can reduce the quantity of model parameters and model size. A residual edge for feature fusion, and At last, by changing the connection between CAM and SAM, a new attention module BiCAM is designed. The experiments show that YOLO-M has a higher detection accuracy and faster detection speed than other models, while also reducing the quantity of model parameters
Profile, challenge, and opportunity of environmental literacy research in Indonesia: A systematic literature review
Authors: Hermawan I Made Surya , Diarta I Made , Putu Ayu Paramita Dharmayanti
Published: July 2024

Systematic overview of environmental literacy research in Indonesia is a crucial aspect for determining effective strategies for strengthening environmental literacy, unfortunately, this is not widely available, especially regarding research published in Indonesia. This research aims to reveal the profile, challenges, and opportunities for strengthening environmental literacy in Indonesia. SLR was used in this research by analyzing 36 articles that met the requirements collected from journals registered by Sinta in 10 years. The articles were then analyzed using a content analysis observation sheet. This research showed fluctuations and stagnation in the number of publications. Variations in design, subjects, instruments, and data analysis techniques are also revealed. Important research results also provide interesting findings in environmental literacy profiles, types of schools, and educational curricula. Based on this, researchers in Indonesia have the challenge of increasing the number of environmental literacy research published in Indonesia. This challenge becomes an opportunity to conduct qualitative and mixed-method research involving students at various education levels. Triangulation data analysis is also important. Furthermore, implementing the Adiwiyata curriculum and innovative learning using local wisdom has the potential to strengthen students' environmental literacy. This research provides an overview for other researchers to formulate effective strategies to improve environmental literacy.
Peningkatan Kemampuan Komunikasi Matematis Siswa Melalui Bimbingan Belajar Matematika terhadap Siswa Kelas VIII MTsN 2 Banda Aceh yang Orang Tuanya Jarang Sekali Berkomunikasi dengan Sekolah
Authors: Rafika Faizah Afriani  , Lukman Ibrahim  , Jasmi Irvan
Published: July 2024

This aim of this study is to determine the improvement of students' mathematical communication skills through tutoring in mathematics for Grade-8 of MTsN 2 Banda Aceh whose parents rarely communicate with the school. This research is a case study as a method of qualitative approach. The subjects in this study were teacher, the second class of Grade-8 students of MTsN 2 Banda Aceh who were determined based on the results of the initial test. Two students who get the lowest scores with parents who were less able to direct their children to communicate to the school as well as at home as the subjects, and the parents of both students. Data collection methods in this study were observation, interviews and documentation. The results of this study show that mathematical communication skills of the students are increased in many ways as the tutorial guided them. So, it can be concluded that t  he tutorial significantly contribute to the improvement of students' mathematical communication skills.
The implementation of FMEA for analyzing the risk of natural disaster logistic activities (case study: CSER project childfund international)
Authors: Bombang Serli
Published: July 2024

Indonesia is a country prone to natural disasters due to its location at the convergence of active tectonic plates. During natural disasters, logistics becomes crucial in emergency response. The aim of this study is to analyze the risks involved in logistics activities during natural disaster emergency response, focusing on the case of Central Sulawesi in 2018. The method used in this research is Failure Mode and Effect Analysis (FMEA). This research is descriptive-exploratory in nature based on interviews and questionnaire distribution. The results indicate eighteen risks occurring during emergency response logistics activities conducted by Childfund International. Calculation results show six critical risks in emergency response logistics activities, namely errors in planning required demand, expired goods, expiration dates too close, closure or absence of goods reception, prolonged accountability report preparation process, and incomplete accountability reports
Integration of balanced scorecard and analytical hierarchy process to measure the performance of supporting unit in aircraft maintenance service companies
Authors: Utami Nur Aulia , Dewayana Triwulandari , Septiani Winnie
Published: July 2024

Dynamic and challenging business environment in the aircraft maintenance services industry require company to survive and ensure business continuity. To realize effective performance, performance measurement is needed as a management system for managing and controlling performance. The purpose of this research is to measure the performance of supporting unit at PT. XYZ by using balanced scorecard framework that is integrated with AHP. The steps in this research includes identification strategy objective, identification key performance indicator (KPI), design and measure performance using integrated balanced scorecard  and AHP. The method used in this study combines quantitative data with the Analytical Hierarchy Process (AHP) approach. The AHP method is used for KPI weighting. The design of KPI weights for each perspective in balanced scorecard are 42,3 % for the learning and growth, 33,5% for internal business process, 17,3% for financial, and 6,8% for the customer perspective.  The results of supporting unit performance show the lowest score in the learning and growth perspective with average performance indicator, while in internal business process, financial and customer perspective have good performance indicator. The result of measuring total performance of four perspective are 74,5% which indicates that the performance of PT.XYZ’s BSC is in the good enough category.
Optimization of soybean distribution costs with the transportation method: a case in SME’s
Authors: Chairat Arief Suardi Nur , Caswito Ade , Octavia Lia Nur , Asnul Nur Shania , Fauziah Annisa , Bahasoan Alisya Sulifianti
Published: July 2024

The distribution of soybean raw materials is not only related to aspects of quality and smooth production of tofu making but can also influence cost efficiency to increase competitiveness. In this situation, the number of soybeans shipped, transportation costs per unit, and the choice of transportation service used are transportation model issues. This research aims to determine the cheapest cost of sending soybean raw materials from four agent locations to three tofu factory locations with a choice of two transportation services that can be adopted. The case studied is a case of unbalanced transportation with supply greater than demand. The method used is the application of a transportation model, with the Northwest Corner method to determine the initial base solution and the Modified Distribution method to optimize distribution costs for soybean raw materials in the context of tofu production supply. Based on data processing, the results showed that the first and second transportation services offered services with a total shipping cost of IDR 691,750 and IDR 605,250. Observation of these differences leads to the conclusion that the second transportation service offers the most optimal value for money. The research results provide additional knowledge for tofu makers in optimizing costs and delivery routes for soybean raw materials, supporting production continuity, and increasing competitiveness in an ever-changing market.
Multi criteria decision making to determine the location of Via Laundry's branch
Authors: Theodora Tania , Septiani Winnie , Dewayana Triwulandari S
Published: July 2024

Decision of choosing the right business location will determine the future development of the business itself. Location decision making is not only important in terms of costs and profits but is also one part of a company's strategic planning which is significant in increasing competitive advantage. Via Laundry’s owners has decided to open a new store branch to expand their business as it has been well-operated for 3 years. Business owners have determined several alternatives for this new branch’s location, namely Transpark Djuanda Bekasi, Jakarta Garden City, and Harapan Indah. The purpose of this study will help business owners to better decide preferred location for the new branch by using multi-criteria decision making, which is AHP and TOPSIS combined methods. Determination of criteria and alternatives is carried out based on the results of discussions with experts, namely business owners and their business partners. Experts also assess the importance of each criterion to produce a pairwise comparison matrix. Based on the results of calculations using the AHP method, priority vector values are obtained for the 6 criteria from the highest to the lowest weight, namely population density (0.370), water cleanliness (0.249), rental costs (0.131), land area (0.103), ease of access roads (0.093), and competitiveness level (0.054). Calculation using AHP method generate weight of each criterias which is then used in TOPSIS. By comparing the distance with ideal solution, preference value for each alternative can be obtained, namely 0.3053 for Jakarta Garden City, 0.3624 for Harapan Indah, and 0.8009 for Transpark Djuanda Bekasi. The chosen location recommendation for Via Laundry’s new branch is Transpark Djuanda Bekasi with the highest preference value of 0.8009.
Analysis of coffee bean supplier selection using AHP-TOPSIS methods: case study on a ready-to-use coffee powder company
Authors: Sanjaya Yahya Cakra , Pulansari Farida , Rahmawati Nur
Published: July 2024

The global market competition that companies must face along with increasingly competitive market developments means that each company has its own challenges in preparing competitive strategies. PT. XYZ is a company that operates in the field of coffee bean processing. The related problems that occur are frequent delays in sending raw materials by suppliers which results in delivery delays, which means they are related to supplier selection problems. Therefore, in this research, the AHP TOPSIS method was used to conduct supplier analysis, AHP is utilized to make decisions and consider multiple factors, subsequently ranking them. Meanwhile, TOPSIS is employed to address multi-criteria problems by comparing the best alternative with the worst alternative among many options. The results of this research are that Supplier 4 is in first place with a preference value of 0.6510, while the second and third places are occupied by Supplier 1 and Supplier 3 respectively.
The application of machine learning algorithms for assessing the maturity level of palm fruits as the prominent commodity in the Western-Southern Area of Aceh
Authors: Syahputra Rizki Agam , Widarta Fajar Okta
Published: July 2024

The potential of palm oil plantations in Aceh is substantial, with the province ranking eighth in Indonesia for palm oil cultivation. Aceh boasts a vast oil palm plantation area of 470.8 thousand hectares, comprising 44% of Aceh's total plantation land. Palm fruit quality directly impacts palm oil production, emphasizing the need for consistent maturity levels. To address this, computer algorithms, especially machine learning, have been applied. This study introduces the Self-Organizing Map (SOM) Algorithm for palm fruit maturity determination. SOM's reliability in capturing dataset topology offers a diverse classification process, revolutionizing palm fruit maturity detection and optimizing palm oil production. This study uses 40 dataset consisted of 20 mature and 20 unmature palm fruit image as the basis data which then converted into RGB and HSV value with Matlab engine. The result of the study indicates that the SOM algorithm is capable of classifying the maturity detection with 100% precision result. The SOM algorithm is synthesized in a Graphical User Interface that is capable of reading and classifying the input data into the output cluster.
Intellectual Background of Ibn Badis and His Contribution on Societal Change in Algeria, 1913-1940
Authors: Bensala Youcef , Ali Abdul Karim , (Corresponding Author) Shuaibu Umar Gokaru , Benaouali Mohamed Cherif
Published: July 2024

Abd Al-Hamid Ibn Badis was a hugely influential figure in the Islamic world. He impressed scholars both in the East and the West, with the French historian and journalist Andre Julien describing him as one of the most powerful figures of his time. The Tunisian Mufti Tahar Ibn Ashour even called him the father of Algeria’s Renaissance. In addition to exploring Ibn Badis’ impact on societal change, this study has been conducted to examine the elements of his intellectual background and how he overcame the obstacles he faced during the French colonial period. At that time, the entire country, including schools and endowments, was ruled by the French. The study highlights that Ibn Badis’ contribution to Algerian society was not only in education, but also in the economy, politics, sports, and all areas that promote human development. The study also reveals that Ibn Badis’ success in preventing the colonialists was due to his ability to exploit legal loopholes and gain support from all social classes. After they applied his educational philosophy and saw its results, people were eager to support him. France even intentionally ignored some of his works due to the possible disruption of security caused by his rising popularity. Therefore, this study recommends that Abd Al-Hamid Ibn Badis’ contribution should be implemented to add more value to human endeavours.
Diplomatic Ties between the Ottoman Empire and the Malay Sultanate from the 14th to the 19th Centuries
Authors: (Corresponding Author) Syaimak Ismail , Saiful Islam Muhammad , Akhir Noor Syahidah Mohamad Akhir , Rahman Azhar Abdul
Published: July 2024

Malaya began its relationship with the Ottoman Turkish Empire in the 15th century, during the time of the Melaka-Sultanate. This relationship continued even after the arrival of colonialists and the fall of the Ottoman Turkish Empire. At first, their relations were focused on politics and economics. These two kingdoms were considered to be the powerful Islamic forces that influenced Europe and Asia. The Sultan of Melaka visited Turkey several times to strengthen their relationship and even took an oath of allegiance to the Ottoman Turkish Empire, promising to defend Islam in Asia. After the fall of Melaka, the Ottoman Turkish Empire provided war aid through Aceh to help Melaka regain control of the seized kingdom. The Ottoman Turkish Empire also influenced the Malay community’s thinking and struggle to resist colonialism in the 18th century. The Malay community even took the Ottoman Turkish Empire as a model for freeing Malaya from Western threats. This paper will examine the initial relationship between the Melaka Malay Kingdom and the Ottoman Turkish Empire, particularly from a political perspective, and the type of influence that catalysed the Malays’ spirit to continue to rise and defend Malaya from external threats. This research will focus on document analysis and descriptive writing methods. The relationship between Malaya and the Turkish Government lasted until the Islamic caliphate fell in 1923. Furthermore, Ottoman Turkey was a significant Islamic government that the Malays expected to obey, as it acted as a power that was always concerned with Islam and the country as an Islamic state.
Contribuição científica da Rede Federal de Educação Profissional, Científica e Tecnológica em periódicos indexados na Web of Science e SciELO Citation Index
Authors: Föeger Rayra da Silva , Carneiro Felipe Ferreira Barros
Published: July 2024

Objetiva compreender as contribuições dos Institutos Federais de Educação, Ciência e Tecnologia para a pesquisa científica brasileira, por meio da análise cientométrica de dados de publicações científicas recuperados na coleção principal da Web of Science e no SciELO Citation Index. Observou-se um crescimento significativo do número de publicações após a criação dos Institutos Federais, principalmente na Web of Science. Quanto às áreas de pesquisa mais produtivas, a Agricultura se destacou em ambas as bases, ressaltando-se também a presença da área de Educação e Pesquisa Educacional. Portanto, a criação dos Institutos Federais trouxe contribuições relevantes para a pesquisa científica brasileira
Métricas de mídias sociais e indicadores de desempenho de periódicos no Facebook análise da coleção SciELO Brasil
Authors: Araujo Ronaldo Ferreira de , Delbianco Natalia Rodrigues , Tanigushi Carolina
Published: July 2024

As mídias sociais têm ganhado centralidade na divulgação de revistas científicas e oferecem uma oportunidade única de alcançar um público mais amplo e diverso. O estudo exploratório analisa a presença, atuação e o desempenho de 122 periódicos da coleção SciELO Brasil no Facebook nos últimos cinco anos e descreve seus indicadores-chave de desempenho por meio do da ferramenta Fanpage Karma. A visibilidade total atingida foi de 406.341 fãs, dando uma média de 3.330 seguidores. A influência, considerada pela taxa de crescimento do número de seguidores indicou média de 6,25%, sendo identificado uma média de 0,82% de interações por revista e um índice de engajamento de 0,029%. Com baixos resultados nas métricas anteriores, a reputação, indicador-chave de desempenho de performance das páginas, foi de apenas 2,2%. Embora mídias sociais como o Facebook auxiliem na atuação relacional e podem promover o aumento da exposição das revistas de forma mais interativa e mais engajada, permanece o desafio para os periódicos alcançarem tais resultados.
Produção científica sobre ChatGPT na Plataforma Lattes reflexões com estudos pioneiros
Authors: Alvarez Gonzalo Rubén , Alves Bruno Henrique , Gouveia Fábio Castro
Published: July 2024

Identifica as grandes áreas e áreas dos pesquisadores doutores com produção científica sobre ChatGPT registrada na Plataforma Lattes, analisando o alcance da multidisciplinaridade na temática. Trata-se de uma pesquisa exploratória, descritiva e aplicada, com uso da Cientometria. Evidencia-se uma expressiva diversidade de grandes áreas e áreas nos 620 pesquisadores doutores analisados, com destaque para Ciências Sociais Aplicadas, Ciências Exatas e da Terra, Ciência da Computação e Educação, respectivamente. Conclui que o ChatGPT se tornou um campo de estudo promissor, não só pelas possibilidades de aplicações, mas também pelos desafios éticos e legais decorrentes do seu uso.
Science health (dis)information about covid-19 on brazilian twitter (x) a preliminary analysis
Authors: Schimuneck Isabelle Lins , Araújo Ronaldo Ferreira de
Published: July 2024

During the COVID-19 pandemic, science communication was used as a weapon to cause distrust and noncompliance towards public health. Therefore, this project aims to produce an instrument capable of categorizing tweets related to COVID-19 of different Brazilian communities of attention networks. The methodology consisted of: creation of a categorization tool through a Systematic Literature Review; collection and clustering of the publications mentioned, and their tweets; and, finally, analysis and classification of a random sample. As a result, alternative treatments and side effects of the vaccines had the highest engagement, also anti-science discourse and mentions of authorities were the most prominent.
Análise patentométrica sobre a inteligência artificial no Brasil
Authors: Morandin Janaina Lais Pacheco Lara , Moura Ana Maria Mielniczuk de
Published: July 2024

Caracteriza as patentes em Inteligência Artificial depositadas por residentes brasileiros no Instituto Nacional da Propriedade Industrial, em relação às instituições depositantes, inventores, áreas de classificação e data de registro; identifica a aplicação da Inteligência Artificial nas principais áreas de classificação; analisa a colaboração entre inventores e identifica as citações às patentes. Conclui-se que há predominância do depósito realizado por pessoas físicas, com colaboração entre os inventores.
Redes relacionais de citação metodológicas nos programas de pós-graduação em Ciência da Informação brasileiros (2019-2023)
Authors: Borges Vanusa Jardim , Maricato João de Melo
Published: July 2024

Analisa redes de citação de autores que embasam as metodologias adotadas em 373 teses publicadas entre 2019-2023 nos Programas de Pós-Graduação em Ciência da Informação (PPGCI) do Brasil. Os autores referenciados nas teses foram identificados na seção de Metodologia das teses, obtidas nos Repositórios Institucionais das Instituições de Ensino Superior que mantêm os referidos programas. A organização, padronização e análise dos dados foram realizadas com o auxílio das ferramentas tecnológicas Excel, Kibana e Python. Os Métodos Científicos predominantes na área são Revisão de Literatura, Pesquisas Documental, Exploratória, Descritiva e Análise de Conteúdo. Os resultados indicaram GIL, A. C.; MARCONI, M. A.; LAKATOS, E. M. e BARDIN, L. como principais autores cocitados, pelos quais se realiza o maior número de acoplamento bibliográfico de autores entre todos PPGCI brasileiros, sendo possível apresentar as afinidades metodológicas pela similaridade na aplicação dos Métodos Científicos representadas nas Redes Relacionais.
Relação de coautoria interinstitucional do Programa de Pós-graduação em Geociências da Universidade Federal do Rio Rrande do Sul
Authors: Gomes Verônica de Souza , Silva Marcia Regina da
Published: July 2024

O objetivo deste trabalho é investigar a relação de coautoria no Programa de Pós-Graduação em Geociências da UFRGS, utilizando análise bibliométrica e de redes sociais para examinar a colaboração científica no quadriênio 2017- 2020. O estudo, de natureza exploratória e documental, evidenciou a presença de relações de coautoria entre diversas instituições, principalmente universidades federais e importantes entidades públicas ou privadas, além de uma colaboração internacional significativa. Essa relações fomentam a troca de conhecimento entre os atores, bem como o apoio financeiro e de recursos humanos.
Desvendando o OpenAlex avanços e oportunidades em métricas bibliométricas
Authors: Macêdo Diego José , Schiessl Ingrid Torres , Shintaku Milton
Published: July 2024

Com o avanço da informática, surgem ferramentas métricas gratuitas, como o OpenAlex, ampliando o acesso. Este estudo investiga seu potencial inovador, descrevendo uma metodologia em duas etapas. A primeira etapa visa explorar a ferramenta, enquanto a segunda compara suas métricas com outras plataformas. Os resultados ressaltam a capacidade do OpenAlex de fornecer uma alternativa viável e complementar às ferramentas convencionais, especialmente na análise comparativa de métricas de publicação e citação.
Determination Of Liquefaction Sediment Volume In Balaroa VillageUsing The Geoelectric Resistance Type Method
Authors: Asgar  , M. Rusydi  , Rustan Efendi  , Moh. Dahlan Th Musa  , Badaruddin
Published: July 2024

Introduction: Research has been carried out titled "Determining the Volume of Liquefaction Sediment Using the Geoelectric Resistivity Type Method in Balaroa Village". Methods: This research aims to identify subsurface lithology and determine the volume of liquefaction sediment in Balaroa Village. This research uses the resistivity method Wenner configuration. Result and Discussion: Measurements were carried out in 4 passes with the distance between electrodes on Tracks 1 - 3 being 7 m and on Track 4 a distance of 10 m. From the results of measurements and data interpretation, it was obtained that the type resistance value was 2.98 - 436.14 Ωm with lithology in the form of clay, sand, and gravel. The calculated volume of liquefaction sediment in Balaroa Village is 370,883 m³. Conclusion: Clay and sand rocks are liquefaction sediments with resistance values of less than 67.86 Ωm. Meanwhile, gravel and building debris are non-liquefaction rocks with resistance values of more than 67.86 Ωm. The calculated liquefaction sediment in Balaroa Village is around 370,883 m³. The volume of liquefaction sediment increases in thickness in the eastern part, which is caused by morphological conditions that tend to be more gentle in that part.
Comparison of Nonparametric Regression Nadara - Watson Estimator Kernel Function And Local Polynomial Regression In Predicting USD Against IDR
Authors: Isni Rahma  , Junaidi  , Iman Setiawan
Published: July 2024

Introduction: Macroeconomic problems such as inflation and exchange rates are often highlighted as benchmarks for achieving economic progress. The stability of both must be monitored by the government in order to control the inflation rate and exchange rate. This instability is a phenomenon of fluctuation, namely the phenomenon of the rise and fall of the exchange rate of a currency based on demand and supply. Given the large impact of exchange rate fluctuations on the economy, the prediction of the wage exchange rate against the US dollar is considered necessary because it is useful to anticipate and minimize bad possibilities that arise. Method: Methods that can be used to analyze fluctuating currency exchange rate data are nonparametric regression, Nadaraya-Watson estimator, Gaussian kernel function, and Local Polynomial Regression. Results and Discussion: The results of a nonparametric regression comparison between the Nadaraya-Watson estimator, Gaussian kernel function, and local polynomial regression were obtained by MAPE of 2.508% and 0.179%, respectively. This shows that the best model uses the local polynomial regression method and predicted USD exchange rate data against IDR using the best model, namely Local polynomial Regression where the MAPE value is less than 10%, which means the prediction rate is very good. Conclusion: The nonparametric regression method of the Nadaraya-Watrson estimator, Gaussian kernel function, and local polynomial regression shows that the best model uses the local polynomial regression method.
Sales Prediction of Palu Arshop Clothing Using the High Order Chen Fuzzy Time Series Method
Authors: Marni Sagap  , Nur'eni  , Iman Setiawan
Published: July 2024

Introduction: Arshop is one of the clothing stores in Palu City that is in great demand by the community. As one of the many clothing stores in Palu City Arshop to find a strategy to increase sales. One way that can be used is to make predictions to determine strategies to increase sales. Method: Higher-order Chen fuzzy time series method to predict the time series data of Arshop Palu clothing sales. Chen's high-order fuzzy time series is a time series analysis that can capture varied data patterns, one of which is seasonal patterns, and is formed based on two or more data in the past. Results and Discussion: The results of this study indicate that the high-order Chen fuzzy time series method has an accuracy rate of MAPE 15.59%, which is categorized as good the prediction results of the comparison between various orders show that the fourth-order Chen fuzzy time series is the best for predicting clothing sales of Arshop Palu. Conclusion: The prediction of clothing sales at Arshop Palu using the higher-order Chen fuzzy time series method resulted in a MAPE of 15.59%, which shows good accuracy because it is less than 20%. Based on the comparison of the accuracy values of the four orders, the fourth-order FTS proved to be the most effective for predicting the clothing sales of Arshop Palu.
Phytochemical Analysis and Antioxidant Activity of Pandila Tree Leaves (Saurauia Tristlyla Dc) From Tibo Village
Authors: Naldiyanto Madao  , Abdul Hapid  , Asniati  , Ariyanti  , Erniwati  , Muthmainah
Published: July 2024

Introduction: The Pandila tree known as pandila (Saurauia tristlyla DC) is one of the plants that has been traditionally used as a medicinal material. Pandila has been traditionally used by the community as a medicine for external and internal diseases, for example, pandila leaves are believed by the Tibo Village community to absorb congealed blood due to accidents. This study aims to determine the secondary metabolite content and antioxidant activity of pandila leaves. Method: The research method used in this study is a descriptive method by looking at changes in color and liquid form in alkaloids, Flavonoid, Tannin, Saponin, Steroid, Terpenoid, and Carotenoid compounds. Phytochemical analysis was carried out on 96% ethanol extract of pandila leaves. The DPPH method was used to determine the antioxidant activity. The results of phytochemical analysis obtained on the leaves of Pandila tree leaves (Saurauia Tristlyla DC) using 96% ethanol solvent are old leaf extracts and young leaves of pandila positively contain 3 compounds namely Tannins, Steroids, and Carotenoids. Results and Discussion: The results of the antioxidant activity test of Pandila leaf extract using the DPPH method on old leaves have an IC50 of 101, 2844 ppm including in the moderate category, and on young leaves have an IC50 of 76.688 ppm which is included in the strong category. Conclusion: Pandila tree leaves are still safe to be used as traditional medicine, by looking at the tannin, steroid, and carotenoid compounds contained in pandila leaves. In addition, the results of antioxidant activity analysis are also a supporting factor where the antioxidant content in old leaves and young leaves of Pandila trees is classified as strong and moderate, so this plant is still safe to be used as a traditional medicinal plant.
Masculinization of Tilapia (Oreochromis Niloticus) by Oral Method Using Senggani Fruit Extract (Melastoma Malabathricum L.)
Authors: Nopita  , Akbar Marzuki Tahya  , Muhammad Safir
Published: July 2024

Introduction: Tilapia have different growth rates in male and female fish where the growth of male fish is faster than female. Therefore, in tilapia farming activities, the production of tilapia weighing >100g/head is difficult to achieve due to uncontrolled spawning.  Method: This study was designed using a completely randomized design (CRD) with 5 treatments and 4 replicates, namely treatment A (control), B (Senggani fruit extract 0.75 g/kg feed), C (extract 1.5 g/kg feed), D (extract 2.25 g/kg feed), E (extract 3 g/kg feed). The organisms used in the study were 7-day-old tilapia larvae. Tilapia larvae were given feed that had been added with Senggani fruit extract according to the treatment dose. Tilapia were reared for 62 days, and given artificial feed containing 41% protein, each feeding was given with a frequency of 3 times a day (morning, afternoon, evening).  Results and Discussion: The results showed that the highest percentage of male sex was found in treatments A, B, C, D and E, which amounted to 50; 56.25; 57.5; 58.75; and 60%, respectively. Daily growth rate, survival and feed conversion ratio obtained during the study in each treatment amounted to 7.49, 7.45; 7.44; 7.46; and 7.40. for survival 73.75; 72.5; 72.5; 70; and 68.75 then the results of feed conversion ratio respectively 1.86; 1.88; 1.89; 1.86; and 1.91. The analysis showed that the highest percentage of male sex was found in the treatment of 3 g/kg feed which amounted to 60% (P>0.05). Daily growth rate, survival rate and feed conversion ratio did not significantly affect the treatment given (p>0.05).  Conclusion: The results of water quality measurements obtained are still within the optimum limits for tilapia rearing. Conclusion: Feeding using Senggani fruit extract to masculinize tilapia did not have a significant effect (p>0.05) on the percentage of male tilapia, daily growth rate and feed conversion ratio.
Analysis Of Calculation Of Illumination Needs At Tadulako University Hospital
Authors: Yudizthiranda  , Agustinus Kali  , Yusnaini Arifin
Published: July 2024

Introduction:  Lighting in the room varies, this is adjusted to the activities carried out in the room. Each room has its own lighting standards. The provision of electric power must meet sufficient capacity to serve the load. The construction of the Tadulako University College Hospital project cannot be separated from the need for electricity. In this building, electric power is used to meet lighting, air conditioning and medical needs. Method:  This study uses a comparative analysis method to determine the suitability between the lighting calculation results and established standards, as well as a quantitative method in calculating lighting factors. Results and Disscussion:  This study shows that the use of Downlight and LED Panel lamps at Tadulako University Hospital has met the standards of PERMENKES NO. 24 of 2016. Downlights are used in public spaces and corridors because they provide more focused and bright lighting, while LED Panels are used in special rooms for the comfort of patients and medical personnel. The trial showed that all rooms comply with the established lighting standards. Conclusion: This study concluded that the lighting system in Tadulako University Hospital using Downlight and LED Panel lamps has met the standards set by PERMENKES NO. 24 of 2016. LED Panel lamps are used in certain rooms to provide comfort for patients and medical personnel, while Downlight lamps are used in public rooms and corridors because the lighting is more focused and bright.