bluuebunny/crossref_metadata_2025 huggingface dataset:
Perfil epidemiológico dos casos e óbitos de Síndrome Respiratória Aguda Grave com ênfase em COVD-19 no Estado de Minas Gerais Brasil 2021 a 2023
Authors: Santos Deise Aparecida dos , Faria Daniela Aparecida de , Ribeiro Guilherme Pereira , Luciano Letícia Aparecida , Silva Maria Emanuele Azevedo Cirino da , Santos Stefany Cristina dos , Araújo Débora Campos Soares
Published: August 2024

A pandemia de COVID-19, causada pelo coronavírus SARS-CoV-2, é um sério problema de saúde em escala global. O propósito da pesquisa foi analisar o perfil epidemiológico dos casos e mortes por Síndrome Respiratória Aguda Grave (SRAG), com foco na COVID-19, em Minas Gerais durante o período de 2021 a 2023. Foi realizado um estudo descritivo e quantitativo, utilizando dados secundários, com o cálculo de frequências absolutas e relativas, medidas de tendência central e dispersão, taxas de incidência e letalidade. No ano de 2021 foram notificados 65.535 casos de SRAG no sistema SIVEP_Gripe, dos quais 42.926 (65,5%) foram confirmados como COVID-19, resultando em 13.317 óbitos. Em 2022, foram registrados 61.712 casos de SRAG, sendo 28.108 (45,4%) confirmados como COVID-19, com 7.487 óbitos. Já em 2023, houve 63.184 casos de SRAG, dos quais 11.909 (18,9%) foram confirmados como COVID-19, resultando em óbitos. A incidência foi de 209/100.000, 137/100.000 e 58/100.000, com taxas de letalidade de 31,0%, 28,0% e 18,6% para os anos de 2021, 2022 e 2023, respectivamente. A prevalência foi maior no sexo masculino em 2021 e 2023 e no feminino em 2022, com médias de idade de 58, 70 e 68 para casos e 67, 77 e 76 para óbitos nos anos de 2021, 2022 e 2023. Houve um predomínio da raça/cor branca, presente em 38,6% a 51,0% dos casos e 44,3% a 52,6% dos óbitos no mesmo período, além da presença de comorbidades em 67,6% e 86,6% dos casos e óbitos, respectivamente. A taxa de internação foi de 98,0% e 95,2% para casos e óbitos, com 64,3% dos pacientes não necessitando de UTI e 58,3% dos óbitos permanecendo em terapia intensiva. Além disso, 45,6% e 42,4% dos casos e óbitos receberam suporte ventilatório não invasivo, com 78,8% e 87,3% vacinados contra COVID-19. Destaca-se a importância de identificar grupos prioritários, compreender o comportamento do vírus no estado e implementar políticas públicas voltadas para essa população específica.
Doença de Alzheimer e alterações no sono como fator de risco: Uma revisão integrativa
Authors: Amaral Gabriela de Vasconcelos Tavares de , Santos Ítalo Queiroz dos , Fernandes João Victor de Aguiar , Jales Lucas Batista , Melo Maria Camila Oliveira Silva de , Ribeiro Thaisa Albuquerque de Oliveira , Horta Wagner Gonçalves
Published: August 2024

A doença de Alzheimer é um transtorno neurodegenerativo progressivo que causa deterioração cognitiva, de memória e comprometimento progressivo das atividades diárias. Fatores epigenéticos estão relacionados à ativação ou supressão de genes patológicos associados ao Alzheimer. O presente estudo tem como objetivo avaliar se a duração do sono inferior ao recomendado, assim como a qualidade do sono, pode aumentar a probabilidade de desenvolvimento da doença de Alzheimer em adultos e idosos previamente hígidos. Trata-se de uma revisão integrativa de literatura, realizada com a análise dos artigos selecionados na base de dados PubMed, utilizando as palavras-chave Alzheimer, Sono e Fatores de risco, verificando as pesquisas produzidas na área nos últimos 5 anos. Foram encontrados oito artigos significativos para a pesquisa. Seis demonstram que distúrbios do sono são um fator de risco para a doença de Alzheimer, os quais apontam 7 a 9 horas de sono como fator protetor para doença de Alzheimer, enquanto menos de 5 horas de sono ou a demora maior que 30 minutos para adormecer como fator de risco. Dois artigos evidenciam a alteração na qualidade do sono em idade avançada como uma fase pré-clínica da doença de Alzheimer. Apenas um estudo, com amostra pequena, sugere que a associação média entre duração do sono e Aβ não foi estatisticamente significativa. Conclui-se que a privação de sono pode ser um fator de risco para desenvolvimento de DA em idade avançada, necessitando de mais estudos para sua comprovação.
Diagnósticos de enfermagem nas complicações cardiovasculares em pacientes hospitalizados por COVID-19
Authors: Santos Natalia Castaman dos , Aragão Andressa Sobral , Sousa Nemésia dos Santos
Published: August 2024

O objetivo do presente estudo foi buscar as principais complicações cardiovasculares apresentadas por pacientes acometidos pela COVID-19 e identificar os diagnósticos de enfermagem relacionados a essas complicações. Trata-se de uma revisão integrativa da literatura, um dos métodos de síntese de conhecimento por meio de um processo sistemático e rigoroso, elaborada de acordo com as recomendações do PRISMA Statment para responder a seguinte pergunta: quais as complicações cardiovasculares no paciente acometido por COVID-19 e os diagnósticos de enfermagem relacionados? Foram selecionados quatro artigos que atendiam a pergunta norteadora, onde foram levantadas as principais complicações cardiovasculares, relacionando-as com Diagnósticos de Enfermagem da Taxonomia NANDA-I, sendo extraídos seis diagnósticos de Enfermagem para nortear a assistência do Enfermeiro frente a esses casos.
As vantagens da Fração Vascular Estromal em comparação ao Nanofat
Authors: Almeida Ana Beatriz Gomes de , Fonseca Marayah Sampaio Ruas da , Gomes Gabriel Neves dos Santos Mosqueira , Chia Chang Yung
Published: August 2024

A Fração Vascular Estromal (FVE) e o nanofat são produtos da extração de células regenerativas do tecido adiposo, principalmente, ou da medula óssea. A maior diferença entre eles é o uso ou não de enzimas na obtenção destes produtos. Assim, o objetivo deste trabalho é discutir se há diferença entre estas técnicas, enzimática ou mecânica, no contexto da cicatrização e da cirurgia. Métodos: Trabalho feito sob o modelo de revisão narrativa, utilizando as bases eletrônicas de dados Pubmed, Scielo e Elsevier. Foram incluídos os trabalhos publicados de 2010 a 2014 nos idiomas inglês ou português. Resultados: A FVE apresenta maior quantidade de células progenitoras sendo mais eficaz, principalmente, nas primeiras fases da cicatrização. O nanofat tem como grande vantagem, além de boas quantidades de fatores de crescimento e citocinas, menores implicações legais. Conclusão: Dessa forma, há aparente superioridade da forma enzimática sob a mecânica, mas são necessários mais estudos comparativos para que este fenômeno seja confirmado, principalmente ao levar-se em consideração que poucos são os estudos que comparam as duas modalidades.
Facetas diretas em resina composta: Uma revisão abrangente
Authors: Dominguez Gerson Pereira , Lozano Damaris Hiza , Santos Alcione Costa dos , Vera Juan Miguel Antezana , Vera Saul Alfredo Antezana
Published: August 2024

Facetas diretas em resina composta têm se tornado uma opção cada vez mais popular na restauração estética e funcional de dentes anteriores comprometidos. Este estudo científico oferece uma revisão abrangente dessa técnica restauradora, explorando vinte embasamentos teóricos essenciais para sua compreensão e aplicação eficaz. O objetivo do presente estudo é apresentar uma revisão sobre as propriedades dos materiais, técnicas de aplicação e avanços tecnológicos, associados às facetas de resina composta. O planejamento estético adequado é fundamental para resultados previsíveis, e abordamos aspectos como análise facial, seleção de cor e mock-ups diagnósticos. As vantagens das facetas em resina composta, e conservação da estrutura dental e custo acessível, além de abordar suas desvantagens e limitações, considerações de longevidade e estratégias de gerenciamento de casos complexos. Uma vez que, as questões econômicas, éticas, legais e avanços tecnológicos recentes e perspectivas futuras. Desta maneira, as facetas em resina composta continuam a desempenhar um papel importante na odontologia estética, oferecendo uma solução eficaz e confiável para melhorar a estética do sorriso. Com uma compreensão abrangente das evidências teóricas e práticas relacionadas a esse tema, os profissionais odontológicos estão bem equipados para oferecer tratamentos de alta qualidade que atendam às necessidades e expectativas dos pacientes, e ampliando o conhecimento da técnica com o intuito de opter maior sucesso, garantindo resultados estéticos e funcionais satisfatórios.
IMPROVING STUNTING CLASSIFICATION PERFORMANCE USING COMBINATION SMOTE TECHNIQUE AND ARTIFICIAL NEURAL NETWORK ALGORITHM
Authors: Baihaqi Wiga Maulana , Laela Ida Nur , Darso Darso
Published: August 2024

Child development is at the core of the nation's future. However, there are still serious problems that hinder optimal child growth, one of which is stunting. Stunting is a condition that has become a global concern in the context of public health and development.  The use of deep learning algorithms has great potential to overcome the problem of stunting classification. The ratio of stunting handling is still a problem due to imbalance data. Classification algorithms such as ANN will experience a decrease in performance when faced with unbalanced classes, this makes it difficult to take action for early diagnosis of stunting. Synthetic Minority Oversampling Technique (SMOTE) is used to balance the failure data in diagnosis.  The results showed that the combination of the SMOTE oversampling technique can improve the ability of the ANN algorithm model to accurately classify stunted or minority populations. The accuracy, precision, recall, and F1-Score values of this study are 0.90, 0.85, and 0.95, respectively. The results of (MCC) obtained a value of 0.73, and (G-Mean) of 0.86 before applying SMOTE and the results after applying SMOTE MCC of 0.84 and G-Mean of 0.92. This indicates that the minority group, namely stunted toddlers, can be predicted well.  The implementation of the combination of SMOTE and ANN has proven successful in classifying imbalance stunting data, so this research can be used as a reference for future research to handle unbalanced data.
ELECTRIC BICYCLE SELECTION SYSTEM USING MULTI CRITERIA DECISION MAKING
Authors: Setyadi Heribertus Ary , Perbawa Doddy Satrya
Published: August 2024

Indonesia government has targeted that by 2025 electric vehicle production has reached 20%. Many electric bicycle products have been sold and used in Indonesia, both domestically made and imported. The most important technical considerations in choosing an electric bicycle are battery type and motor used. These two components affect distance traveled by electric bicycles even further. Many brands offered by manufacturers with various advantages and disadvantages will make consumers are confused about choosing a quality and durable electric bicycle. From these problems, one solution is to create a mobile-based decision support system (DSS) that can assist in making decisions according to predetermined criteria. This research aims to produce recommendations for electric bicycle brands that can assist potential consumers in choosing electric bicycles. The combination of the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods is used in order to produce more objective recommendations. In this research uses seven criteria that will be processed in AHP, namely price, maximum load, battery capacity, motor power, charging time, mileage and speed. There are nine brands that are used as alternatives in the TOPSIS calculation. From AHP and TOPSIS calculation, following recommendations for electric bicycles is obtained: the first order is the Ofero with a preference value of 1, next order are with the same value 0.5806, Indobike and Exotic, and the last recommendation is Jarvis with a value of 0.095.
ACTIVATION FUNCTION IN LSTM FOR IMPROVED FORECASTING OF CLOSING NATURAL GAS STOCK PRICES
Authors: Budiman Budimann , Alamsyah Nur , Alamsyah R. Yadi Rakhman
Published: August 2024

The closing price of natural gas stocks greatly influences investment decisions and the energy industry. Predicting prices correctly can greatly help investors, market participants, and all parties involved, as it allows for making better decisions and optimizing investment portfolios. By using deep learning methods to role model various LSTM activation functions, such as Sigmoid, ReLU, and Tanh, this exploration will hopefully help understand complex patterns in time series data. By finding an appropriate forecasting method, all parties involved can reduce the environmental impact. The experimental results show that the model with ReLU activation function has the highest R2 value of 0.960 in both the training and test sets, and the model with Tanh activation function is also successful, with R2 values of 0.950 in the training set and 0.949 in the test set, and an MSE of 0.002. The model with the sigmoid activation function was slightly lower, with R2 values of 0.931 in the training set and 0.943 in the test set, and an MSE of 0.003. These findings indicate that the LSTM model with the ReLU activation function is considered better for predicting the closing price of natural gas stocks. These findings may help investors, stakeholders, and market participants choose the most accurate model to predict the closing price of natural gas stocks.
COMPARISON OF SVM AND NAÏVE BAYES CLASSIFIER ALGORITHMS ON STUDENT INTEREST IN JOINING MSIB
Authors: Rashifa Amira Aida , Marcos Hendra , Subarkah Pungkas , Sholikhatin Siti Alvi
Published: August 2024

Machine learning (ML) is a branch of artificial intelligence (AI) that deals with the development of systems capable of learning from data to make predictions or decisions without being explicitly programmed. In this study, we conducted an analysis of students' interest in the Internship and Certified Independent Study Program (MSIB) in the context of the Independent Campus Learning policy. The method used is a survey by distributing questionnaires to students of Amikom Purwokerto University in the MSIB batch 5 in year 2023. The results of this study can provide understanding and predictions about students' interest in the MSIB program based on relevant variables, such as study program, semester, cumulative grade point average (GPA), semester credit system (SKS), and previous work experience. The research results indicate that GPA and Study Program greatly influence students' interest in MSIB. The Naïve Bayes algorithm yielded an accuracy of 0.6875 on the training data and 0.25 on the testing data, with a confusion matrix of (0, 1, 0; 0, 1, 2; 0, 0, 0). Meanwhile, the Support Vector Machine (SVM) algorithm yielded an accuracy of 0.4375 on the training data and 0.75 on the testing data, with a confusion matrix of (0, 1; 0, 3). The machine learning model developed in this study is expected to help predict students interest based on new data provided, thus supporting decision-making in optimizing the MSIB program.
ENTERPRISE ARCHITECTURE TRENDS OVER A DECADE: A BIBLIOMETRIC ANALYSIS
Authors: Firmansyah Albi , Prassida Grandys Frieska
Published: August 2024

Enterprise Architecture (EA) has recently become significantly essential for every organization in ensuring the alignment of information technology implementation with the organization's strategy and goals. However, its diverse application to organizations can uprise interesting trends that can be reviewed further. Therefore, this research, through a systematic literature review approach, shows the importance of paying attention to the context and scope of EA which has evolved in the last decade. Bibliometric analysis methods are used to show existing correlations, based on journal article data obtained from 2013 to 2023. This research provides a valuable contribution to the development of EA literature by identifying topics that are frequently discussed and those that have the potential to be discussed in the future and who examine them and their relationship to each other. Furthermore, this research can also provide practitioners and stakeholders with a better understanding of the latest EA implementation trends
Opportunities for Implementing Low-Tech Dew and Fog Harvesting Architecture in Indonesia: A Narrative Literature Review
Authors: Khamdevi Muhammar , Riupassa Robi Dany
Published: August 2024

The water crisis is affecting the entire world, including Indonesia. Java, Bali, and Nusa Tenggara regions are vulnerable to such disasters. Low-income and traditional communities will be the first to feel the effects. Low-tech dew and fog harvesting buildings have been built in several parts of the world as alternative methods to address water scarcity. This technology necessitates the collaboration of multidisciplinary researchers and practitioners, particularly in architectural science, in the design development of this building. These building design requirements must be tailored to local Indonesian conditions. This study will examine the building opportunities that use this technology in the local Indonesian context, focusing on the potential for the adoption and modification of traditional buildings. This research method employs a narrative literature review of official document data and scientific studies. The study's findings indicate that traditional buildings in Indonesia have a high potential for the use of this technology.
Receipt Image Extraction in Budgeting Mobile Application
Authors: Wong Rou Yi , Tan Ping Ping
Published: August 2024

Money is spent and received almost daily. In most cases, receipts are issued after making a transaction.  Budgeting mobile applications let users record these transactions for the purpose of tracking and managing their budget and money flow.  The normal budgeting application let users input their transactions manually.  In this paper, we proposed an improved feature: computer vision to capture the receipts and extract the data from the receipts.The technology used to extract the data of receipt is Microsoft Azure Form Recognizer which is a specialized Optical Character Recognizer (OCR) service that helps to extract form-like data. The user is required to take a picture of a receipt then the data of the receipt would be extracted. This would help to save the time for the user to repeat the steps to record the transaction by entering the details such as name, amount, date and so on one by one. The tools used for development are Android Studio and Visual Studio Code. Azure Services including Azure Web App Service, Azure Database for MySQL flexible server and Azure Form Recognizer are utilized in this project to develop a web-hosting budgeting mobile application. After the development of the application is done, the real application was tested by 30 respondents and received positive feedback from the respondents where 86.7% of the respondents agreed that the receipt scanning feature and its ability to automatically fill in the transaction details were satisfactory.This budgeting mobile app has the potential to reduce the mistake through manual keying in.
Pengaruh Kualitas Produk Dan Harga Terhadap Kepuasan Konsumen Di Up Chicken Gudo Jombang
Authors: Putra Edwin Bagus Risky , Ningsih Lilis Sugi Rahayu
Published: August 2024

Penelitian ini bertujuan untuk mengetahui pengaruh kualitas produk dan harga terhadap kepuasan konsumen di Kedai Up Chicken Gudo Jombang. Metode yang digunakan pada penelitian ini adalah metodei peneilitian kuantitatif. Jumlah sampel sebanyak 30 responden. Teknik pengumpulan data menggunakan kuesioner. Uji hipotesis menggunakan uji t, uji F dan uji R. Hasil penelitian ini menunjukkan bahwa (1) Kualitas Produk berpengaruh signifikan terhadap Kepuasan Konsumen di Kedai Up Chicken Gudo Jombang. Begitu juga harga berpengaruh signifikan terhadap Kepuasan Konsumen di Kedai Up Chicken Gudo Jombang secara simultan kualitas Produk dan Harga terhadap Kepuasan Konsumen di Kedai Up Chicken Gudo Jombang
Pengaruh Pengembangan Karir Dan Motivasi Kerja Terhadap Prestasi Kerja Karyawan Di PT Wilis Indonesia Steel Kediri
Authors: Mulyono Rizki Mus , Anah Lik
Published: August 2024

Tujualn penelitialn yalng dilalkukaln paldal PT. Wilis Indonesial Steel Kediri aldallalh untuk balgalimalnal pengalruh pengembalngaln kalrir daln motivalsi kerjal terhaldalp prestalsi kerjal kalryalwaln di PT Wilis Indonesial Steel Kediri.
Metode penelitian ini  menggunakan pendekatan kuantitatif dengan jenis penelitian kausal yang bersifat sebab akbat. Jadi disini ada  variabel indipenden (variabel yang mempengaruhi) dan dependen (dipengaruhi). teknik pengambilan data dalam penelitian ini antaral lain observasi, wawancara, dokumentasi dan kuisioner
Hasil penelitialn menunjukan bahwa: (1) Pengembangaln Karir tidak berpengaruh signifikan terhadap variabel prestasi kerja karyawan di PT Wilis Indonesia Steel Kediri, (2) Motivasi Kerja berpengaruh signifikan terhadap prestasi kerja karyawan di PT Wilis Indonesia Steel Kediri, (3) Pengembangan Karir dan Motivasi Kerja secara simutan berpengaruh signifikan terhadap prestasi kerja karyawan di PT Wilis Indonesia Steel Kediri.
Pengaruh Kompensasi Dan Pengawasan Terhadap Disiplin Kerja Karyawan Borongan Pada CV. Mega Lestari Plasindo Jombang
Authors: In’am Muhammad Wafi , Mahfudiyanto
Published: August 2024

Penelitian ini bertujuan untuk mengetahui pengaruh kompensasi dan pengawasan terhadap disiplin kerja karyawan borongan pada CV. Mega Lestari Plasindo Jombang. Metode penelitian yang digunakan dalam penelitian ini adalah metode penelitian kuantitatif. Populasi dalam penelitian ini adalah 85 responden. Teknik pengambilan sampel yang digunakan adalah teknik sampel jenuh yang menjadikan seluruh populasi sebagai sampel. Hasil penelitian menunjukkan bahwa: (1) variabel kompensasi secara parsial berpengaruh terhadap disiplin kerja karyawan borongan pada CV. Mega Lestari Plasindo Jombang, (2) variabel pengawasan secara parsial berpengaruh terhadap disiplin kerja karyawan borongan pada CV. Mega Lestari Plasindo Jombang, (3) variabel kompensasi dan pengawasan secara simultan berpengaruh terhadap disiplin kerja karyawan borongan pada CV. Mega Lestari Plasindo Jombang
Pengaruh Beban Kerja Dan Stres Kerja Terhadap Turnover Intention (Studi Kasus Karyawan Bagian Produksi PT Wilis Indonesia Steel Kediri)
Authors: Hidayati Yunita Rahma , Mahfudiyanto
Published: August 2024

Tujuan dari penelitian ini yaitu untuk mengetahui pengaruh beban kerja dan stress kerja terhadap turnover intention pada PT Wilis Indonesia Steel Kediri. Penelitian ini menggunakan metode kuantitatif. Populasi dalam penelitian ini yaitu 83 karyawan dengan sampel berjumlah 35 karyawan di bagian produksi dan menggunakan sampel jenuh. Pengumpulan data yang digunakan yaitu observasi, wawancara, dokumentasi, dan kuesioner.  Tahap analisis data yang digunakan yaitu statistik deskriptif, uji kualitas data, uji asumsi klasik, analisis regresi linier berganda, dan uji hipotesis. Hasil penelitian menunjukkan bahwa: 1) Beban kerja secara parsial berpengaruh negatif dan tidak signifikan terhadap turnover intention PT Wilis Indonesia Steel Kediri, 2) Stres kerja secara parsial berpengaruh positif dan signifikan terhadap turnover intention PT Wilis Indonesia Steel Kediri, 3) Beban kerja dan stres kerja secara simulatan berpengaruh positif dan signifikan terhadap turnover intention PT Wilis Indonesia Steel Kediri.
Pengaruh Stres Kerja Dan Kepuasan Kerja Terhadap Turnover Intention Karyawan CV. Dua Karya Bersama Kediri
Authors: Ayni Saniyah Nur , Mahfudiyanto
Published: August 2024

Tujuan penelitian ini untuk mengetahui pengaruh stres kerja dan kepuasan kerja terhadap turnover intention karyawan CV. Dua Karya Bersama Kediri. Penelitian ini menggunakan metode kuantitatif. Populasi penelitian ini yaitu seluruh karyawan divisi produksi yang berjumlah 40 karyawan dan menggunakan teknik pengambilan sampel yaitu teknik sampling jenuh. Hasil penelitian menunjukkan bahwa: (1) Stres kerja secara parsial berpengaruh positif dan signifikan terhadap turnover intention karyawan CV. Dua Karya Bersama Kediri, (2) Kepuasan kerja secara parsial berpengaruh negatif dan signifikan terhadap turnover intention karyawan CV. Dua Karya Bersama Kediri, (3) Stres kerja dan kepuasan kerja secara simultan berpengaruh positif dan signifikan terhadap turnover intention karyawan CV. Dua Karya Bersama Kediri.
Implementasi Nilai Nilai Religius Dalam Menumbuhan Kelestarian Lingkungan Melalui Program Adiwiyata Di MTs Salafiyah Syafiiyah Bandung Diwek Jombang
Authors: Amalia Bella Wandira  , Laily Masruroh
Published: August 2024

Penjabaran Nilai Nilai Religius dalam Menumbuhkan Kelestarian Lingkungan melalui program Adiwiyata. Program Adiwiyata menjadi tujuan guna mencapai kebersihan lingkungan, yang mana peneliti menentukan focus : 1.Bagaimana Nilai Nilai Religius di MTs Salafiyah Syafiiyah Bandung Diwek Jombang, 2. Bagaimana Perencanaan Program Adiwiyata di MTs Salafiyah Syafiiyah Bandung Diwek Jombang, 3. Bagaiman Implemetasi Nilai Nilai Religius Dalam Menumbuhkan Kelestarian Lingkungan Melalui Program adiwiyata di MTs Salafiyah Syafiiyah Bandung Diwek Jombang. Peneliti memakai jenis penelitian Deskriptif dengan pendekatan kualitatif. Dengan melakukan Observasi, wawancara, dokumentasi dan membuktikan keabsahan data dengan triangulasi. Hasil penelitian yakni : 1. Nilai Religius di MTs Salafiyah Syafiiyah Bandung Diwek Jombang terdapat Nilai Akhlak, Nilai Ibadah, Nilai Moral, 2. Perencanaan Program adiwiyata terdapat sanitasi Drainase, Pemeliharaan pohon tanaman, pengelolaan sampah, konservasi air, konservasi energi, inovasi PRLH, kebersihan kelas, 3. Penjabaran yang yakni nilai akklak, nilai ibadah,nilai ukhwah yang berhubungan dengan lingkungan.
The Effect of Lavender Inhalation Aromatherapy on Sleep Quality of the Elderly at Tresna Werdha Social Institution Jambi City
Authors: Permatha Rhury Nia
Published: August 2024

Aims: This study was to determine the effect of lavender inhalation aromatherapy on the sleep quality of the elderly living at Tresna Werdha Social Institution in Jambi City.
Methods: This was a quasi-experimental research with 45 participants in the intervention group and 45 in the control group of the elderly. Sleep quality disorders were measured using the Pittsburgh Sleep Quality Index (PSQI). Univariate analysis and bivariate analysis with t-tes t.
Result: Disruption of sleep quality in the post-test intervention group (5.31+0.793) was lower than in the pre-test (9.91 + 2.548). Sleep efficiency disturbances are the least affected by interventions. There was a significant difference between the pre-and post-intervention groups, with p-value = 0.00.
Conclusion: This suggests that lavender inhalation may be particularly helpful in poor quality of sleep among the elderly. The study highlights the need for further research to explore optimal protocols for administering lavender inhalation aromatherapy, including dosage, duration, and frequency, to maximize its benefits on sleep quality among elderly populations. Additionally, investigating the long-term effects and safety of this intervention would be valuable for its integration into healthcare practices.
The Effect of Psychoeducation with Roleplay on Knowledge of Physical Violence and Bullying Prevention in Adolescents in Junior High School
Authors: Sukmawati Martini Nur , Sitanggang Yohana Agustina , Lani Tiara , Raziansyah Raziansyah
Published: August 2024

Aims: Bullying, characterized by physical or mental harm, can lead to negative effects on victims and perpetrators. Enhancing knowledge about bullying through role-play psychoeducation is crucial for prevention among junior high school students.
Methods: This study uses a pretest-posttest design to investigate the impact of psychoeducation roleplay on bullying knowledge among junior high school students, finding a significant effect on learning outcomes.
Results: Psychoeducation using roleplay can increase knowledge about bullying prevention among junior high school students at SMP Negeri 1 Karang Intan. This approach helps students understand the impact of bullying and how to prevent it, making them more enthusiastic and happy to participate. Research shows that increased empathy from witnesses can reduce bullying behavior. The relaxed and enjoyable environment of roleplay can help students understand the importance of prevention and reduce bullying.
Conclusions: The roleplay method in psychoeducation significantly enhanced students' knowledge of bullying prevention among junior high school students in Negeri 1 Karang Intan, Banjar Regency.
Enhancing Knowledge and Compliance in Anemia Treatment Through a WhatsApp Group at SMPN 1 Karangrejo, Magetan, Indonesia
Authors: Kristyani Devi , Hanifah Astin Nur , Nugroho Heru Santoso Wahito , Suparji Suparji
Published: August 2024

Background: The prevalence of anemia in adolescents in East Java in 2018 was 50-60%. Anemia can be caused by various factors, including iron deficiency, vitamin B12 deficiency, folate deficiency, infectious diseases, congenital factors, and bleeding. The Indonesian government has intensified the anemia prevention and control program in adolescent girls and women of childbearing age by prioritizing the provision of iron tablets, one tablet per week, to reduce the prevalence of anemia in this group by 2025. In the millennial era, many adolescents and the community use WhatsApp as a means of communication. For promotional media, researchers chose WhatsApp media and it is hoped that health promotion efforts and the movement to drink TTD (iron supplement) together through WhatsApp media can increase the knowledge and compliance of rheumatology specialist doctors in consuming TTD. Method: This study is included in pre-experimental research using one group pretest and posttest by conducting a pretest before being given treatment and then conducting a posttest after being given treatment. The sample in this study was adolescent girls at Junior High School 1 Karangrejo Magetan Indonesia as many as 92 respondents. The independent variables are health promotion and the movement to drink TTD together through Whatsapp Group. The deeper variable in this study is knowledge about anemia. Results: The results showed a significant difference between knowledge about anemia and compliance in taking iron tablets before and after the intervention, with a p-value of 0.000 (≤ 0.05). This shows that health promotion and the movement to drink iron tablets together through WhatsApp Group are effective in increasing knowledge and compliance. Conclusion: Health promotion and the movement to drink blood tablets together through WhatsApp Group are effective in increasing knowledge and compliance and there is an increase in knowledge and compliance scores after health promotion.
Eosinophil extracellular vesicles and DNA traps in allergic inflammation
Authors: Weihrauch Tobias , Melo Rossana C. N. , Gray Natalie , Voehringer David , Weller Peter F. , Raap Ulrike
Published: August 2024

Eosinophil granulocytes, a specialized subset of white blood cells, have traditionally been associated with allergic responses and parasitic infections. However, recent research has unveiled their versatile roles in immune regulation beyond these classical functions. This review highlights the emerging field of eosinophil biology, with a particular focus on their release of extracellular vesicles (EVs) and extracellular DNA traps (EETs). It further explores potential implications of eosinophil-derived EVs and EETs for immune responses during inflammatory diseases. The release of EVs/EETs from eosinophils, which also affects the eosinophils themselves, may influence both local and systemic immune reactions, affecting the pathophysiology of conditions such as airway inflammation, chronic rhinosinusitis and atopic dermatitis.
Key quality parameter comparison of mesenchymal stem cell product cryopreserved in different cryopreservation solutions for clinical applications
Authors: Tan Yuan , Salkhordeh Mahmoud , Murray Aidan B. P. , Souza-Moreira Luciana , Stewart Duncan J. , Mei Shirley H. J.
Published: August 2024

Introduction

Cryopreservation is a critical process of cell products for achieving a commercial viability through wide scale adoption. By preserving cells in a lower temperature, cryopreservation enables a product to be off-the-shelf and ready for infusion. An optimized cryopreservation strategy can maintain the viability, phenotype, and potency of thawed mesenchymal stromal/stem cells (MSCs) while being regulatory compliant. We compared three clinical-ready formulations with one research cryopreservation solutions and evaluated key quality parameters of post thawed MSCs.

Method and result

MSCs were cryopreserved at 3, 6, and 9 million cells/mL (M/mL) in four different cryopreservation solutions: NutriFreez (10% dimethyl sulfoxide [DMSO]), Plasmalyte A (PLA)/5% human albumin (HA)/10% DMSO (PHD10), CryoStor CS5 (5% DMSO), and CryoStor CS10 (10% DMSO). To establish post thaw viability, cells were evaluated with no dilution of DMSO (from 3 M/mL), 1:1 dilution (from 6 M/mL), or 1:2 dilution (from 9 M/mL) with PLA/5% HA, to achieve uniform concentration at 3 M/mL. Cell viability was measured at 0-, 2-, 4-, and 6-h post thaw with Trypan blue exclusion and Annexin V/PI staining. Dilution (1:2) of final cell products from 9M/mL resulted in an improvement of cell viability over 6 h but showed a trend of decreased recovery. MSCs cryopreserved in solutions with 10% DMSO displayed comparable viabilities and recoveries up to 6 h after thawing, whereas a decreasing trend was noted in cell viability and recovery with CS5. Cells from all groups exhibited surface marker characteristics of MSCs. We further evaluated cell proliferation after 6-day recovery in culture. While cells cryopreserved in NutriFreez and PHD10 presented similar cell growth post thaw, MSCs cryopreserved in CS5 and CS10 at 3 M/mL and 6M/mL showed 10-fold less proliferative capacity. No significant differences were observed between MSCs cryopreserved in NutriFreez and PHD10 in their potency to inhibit T cell proliferation and improve monocytic phagocytosis.

Conclusion

MSCs can be cryopreserved up to 9 M/mL without losing notable viability and recovery, while exhibiting comparable post thaw potency with NutriFreez and PHD10. These results highlight the importance of key parameter testing for selecting the optimal cryopreservation solution for MSC-based therapy.
Separation and purification of nylon 54 salts from fermentation broth by an integrated process involving microfiltration, ultrafiltration, and ion exchange
Authors: Zhao Xiaojie , Hu Qixu , Yang Yue , Feng Jiao , Wang Xin , Li Ganlu , Li Hui , Chen Kequan
Published: August 2024

Nylon 54 is a novel, biodegradable polyamide with excellent thermal resistance and water absorption properties. It can be polymerized using bio-based cadaverine and succinic acid as monomers. Traditional separation methods isolate individual monomers from the fermentation broth through acidification or alkalization, resulting in significant amounts of waste salts; however, synchronous separation of dibasic acids and diamines has not been reported. This study investigated an integrated process for the separation and extraction of nylon 54 salts from a co-fermentation broth without acidification or alkalization. We meticulously optimized the operational parameters of the integrated process to achieve maximum separation efficiency. Following microfiltration, ultrafiltration, and decolorization, the bacterial eliminating rate was ≥99.83%, and the protein concentration was ≤40 mg/L. The absorbance of the decolorized solution was ≤0.021 at 430 nm, and the recovery rate of nylon 54 salt reached 97%. Then, the pretreated solution was passed through sequential chromatographic columns, which effectively removed organic acid by-products (such as acetic acid and lactic acid), SO42−, and NH4+ from the fermentation broth, resulting in a cadaverine yield of 98.01% and a succinic acid yield of 89.35%. Finally, by concentrating and crystallizing the eluent, the simulated fermentation broth yielded nylon 54 salt with a purity of 99.16% and a recovery rate of 58%, and the real fermentation broth yielded nylon 54 salt with a purity of 98.10% and a recovery rate of 56.21%. This integrated process offers a sustainable and environmentally friendly pathway for the complete biosynthesis of nylon 54 salt and has the potential to be extended to the preparation of other nylon salts.
Embryonic temperature has long-term effects on muscle circRNA expression and somatic growth in Nile tilapia
Authors: Rbbani Golam , Murshed Riaz , Siriyappagouder Prabhugouda , Sharko Fedor , Nedoluzhko Artem , Joshi Rajesh , Galindo-Villegas Jorge , Raeymaekers Joost A. M. , Fernandes Jorge M. O.
Published: August 2024

Embryonic temperature has a lasting impact on muscle phenotype in vertebrates, involving complex molecular mechanisms that encompass both protein-coding and non-coding genes. Circular RNAs (circRNAs) are a class of regulatory RNAs that play important roles in various biological processes, but the effect of variable thermal conditions on the circRNA transcriptome and its long-term impact on muscle growth plasticity remains largely unexplored. To fill this knowledge gap, we performed a transcriptomic analysis of circRNAs in fast muscle of Nile tilapia (Oreochromis niloticus) subjected to different embryonic temperatures (24°C, 28°C and 32°C) and then reared at a common temperature (28°C) for 4 months. Nile tilapia embryos exhibited faster development and subsequently higher long-term growth at 32°C compared to those reared at 28°C and 24°C. Next-generation sequencing data revealed a total of 5,141 unique circRNAs across all temperature groups, of which 1,604, 1,531, and 1,169 circRNAs were exclusively found in the 24°C, 28°C and 32°C groups, respectively. Among them, circNexn exhibited a 1.7-fold (log2) upregulation in the 24°C group and a 1.3-fold (log2) upregulation in the 32°C group when compared to the 28°C group. Conversely, circTTN and circTTN_b were downregulated in the 24°C groups compared to their 28°C and 32°C counterparts. Furthermore, these differentially expressed circRNAs were found to have multiple interactions with myomiRs, highlighting their potential as promising candidates for further investigation in the context of muscle growth plasticity. Taken together, our findings provide new insights into the molecular mechanisms that may underlie muscle growth plasticity in response to thermal variation in fish, with important implications in the context of climate change, fisheries and aquaculture.
Organophosphorus S-adenosyl-L-methionine mimetics: synthesis, stability, and substrate properties
Authors: Rudenko Alexander Yu , Mariasina Sofia S. , Bolikhova Anastasiia K. , Nikulin Maxim V. , Ozhiganov Ratislav M. , Vasil’ev Vasiliy G. , Ikhalaynen Yuri A. , Khandazhinskaya Anastasia L. , Khomutov Maxim A. , Sergiev Peter V. , Khomutov Alex R. , Polshakov Vladimir I.
Published: August 2024

S-Adenosyl-l-methionine (SAM)-mediated methylation of biomolecules controls their function and regulates numerous vital intracellular processes. Analogs of SAM with a reporter group in place of the S-methyl group are widely used to study these processes. However, many of these analogs are chemically unstable that largely limits their practical application. We have developed a new compound, SAM-PH, which contains an H-phosphinic group (-P(O)(H)OH) instead of the SAM carboxylic group. SAM-PH is significantly more stable than SAM, retains functional activity in catechol-O-methyltransferase and methyltransferase WBSCR27 reactions. The last is associated with Williams–Beuren syndrome. Rac-SAM-PH was synthesized chemically, while (R,S)-SAM-PH and its analogs were prepared enzymatically either from H-phosphinic analogs of methionine (Met-PH) or H-phosphinic analog of S-adenosyl-l-homocysteine (SAH-PH) using methionine adenosyltransferase 2A or halide methyltransferases, respectively. SAH-PH undergoes glycoside bond cleavage in the presence of methylthioadenosine nucleosidase like natural SAH. Thus, SAM-PH and its analogs are promising new tools for investigating methyltransferases and incorporating reporter groups into their substrates.
Association between paraoxonase 1 -108C/T polymorphism and coronary heart disease: an updated meta-analysis
Authors: Liao Jiadan , Wang Pengcheng
Published: August 2024

Background

At present, no consensus is reached among articles that investigate the relationship of paraoxonase 1(PON1) -108C/T polymorphism with susceptibility of coronary heart disease (CHD) so far. In this regard, the present meta-analysis was conducted to comprehensively review existing articles related to the relationship of PON1 -108C/T polymorphism with CHD susceptibility. It was preregistered in the International Platform of Registered Systematic Review and Meta-Analysis Protocols (INPLASY)-INPLASY202430117.

Methods

Articles that explored the relationship between PON1 -108C/T polymorphism and CHD incidence were searched from electronic databases according to our preset study selection criteria. Thereafter, we adopted stata 12.0 software to analyze our screened studies. At the same time, odds ratios (ORs) and related 95% confidence intervals (95% CIs) were determined for evaluating association strength.

Results

At last, this meta-analysis selected altogether 13 case-control studies that involved 2,979 cases and 2,887 control subjects. We found that the PON1 -108C/T polymorphism displayed marked relationship with CHD susceptibility (T vs. C: OR = 1.24, 95% CI 1.07–1.45; CT vs. CC: OR = 1.33, 95% CI 1.17–1.52; TT vs. CC: OR = 1.51, 95% CI 1.09–2.09; Recessive model: OR = 1.16, 95% CI 0.93–1.45; Dominant model: OR = 1.45, 95% CI 1.16–1.81). Moreover, subgroup analysis showed that race and sample size had no impact on the results. Bioinformatics analysis showed that -108C>T polymorphism was relation to PON1 gene expression (https://gtexportal.org/home/).

Conclusions

The PON1 -108T allele is identified as the possible low-penetrant risk factor of CHD, as suggested by our present meta-analysis.

Systematic Review Registration:https://inplasy.com/inplasy-2024-3-0117/, Identifier INPLASY202430117.
Methods of studying pathological demand avoidance in children and adolescents: a scoping review
Authors: Haire Lauren , Symonds Jennifer , Senior Joyce , D’Urso Giulio
Published: August 2024

The construct of pathological demand avoidance (PDA) is relatively new and contested. Clinical reports indicate a population who obsessively resist everyday demands and have an extreme need for control. Children and adolescents who might experience PDA, and their families, struggle significantly in their daily lives, creating a need for more research into the phenomenon. To assist the developing research field, this scoping review focuses on the methodologies used to study PDA in children and adolescents. A systematic search of six databases and grey literature uncovered 57 unique records after duplicates were removed. 21 documents containing 22 studies were retained for analysis. Of the 22 studies, 21 were from the UK and one was from the Faroe Islands. There were 18 quantitative analyses and 11 qualitative analyses. Half of the studies were cross-sectional and quantitative and almost half used mixed methods. Samples were non-representative and studies often used comparison groups of children with and without PDA. Researcher’s conceptualizations of PDA were coded into categories of emotional, socio-cognitive, and neurological differences. Studies of PDA focused mostly on PDA symptoms, mechanisms, and precipitants, with fewer studies of PDA origins and problems resulting from PDA or possible supports for individuals. The EDA-Q and the DISCO were the main measures used to identify PDA. Quantitative data were often analyzed using inferential statistics, and qualitative data were analyzed using thematic analysis, content analysis, and narrative summaries. Implications for future research are discussed.
Identification of programmed cell death-related genes and diagnostic biomarkers in endometriosis using a machine learning and Mendelian randomization approach
Authors: Xie Zi-Wei , He Yue , Feng Yu-Xin , Wang Xiao-Hong
Published: August 2024

Background

Endometriosis (EM) is a prevalent gynecological disorder frequently associated with irregular menstruation and infertility. Programmed cell death (PCD) is pivotal in the pathophysiological mechanisms underlying EM. Despite this, the precise pathogenesis of EM remains poorly understood, leading to diagnostic delays. Consequently, identifying biomarkers associated with PCD is critical for advancing the diagnosis and treatment of EM.

Methods

This study used datasets from the Gene Expression Omnibus (GEO) to identify differentially expressed genes (DEGs) following preprocessing. By cross-referencing these DEGs with genes associated with PCD, differentially expressed PCD-related genes (DPGs) were identified. Enrichment analyses for KEGG and GO pathways were conducted on these DPGs. Additionally, Mendelian randomization and machine learning techniques were applied to identify biomarkers strongly associated with EM.

Results

The study identified three pivotal biomarkers: TNFSF12, AP3M1, and PDK2, and established a diagnostic model for EM based on these genes. The results revealed a marked upregulation of TNFSF12 and PDK2 in EM samples, coupled with a significant downregulation of AP3M1. Single-cell analysis further underscored the potential of TNFSF12, AP3M1, and PDK2 as biomarkers for EM. Additionally, molecular docking studies demonstrated that these genes exhibit significant binding affinities with drugs currently utilized in clinical practice.

Conclusion

This study systematically elucidated the molecular characteristics of PCD in EM and identified TNFSF12, AP3M1, and PDK2 as key biomarkers. These findings provide new directions for the early diagnosis and personalized treatment of EM.