bluuebunny/crossref_metadata_2025_split huggingface dataset:
ATUAÇÃO DA ENFERMAGEM NA IDENTIFICAÇÃO DE FATORES DESENCADEANTES DA DEPRESSÃO PÓS-PARTO: UMA REVISÃO INTEGRATIVA
Authors: Menezes dos Santos Débora Iamara , Lima Rafael da Silva , Bezerra Siebra Adairtes Maria , Dos Santos Jéssica Alcantara , Da Silva Vyvyane de Castro , Da Silva Neto Irineu Ferreira 
Published: August 2023

Objetivou-se analisar a atuação da enfermagem na identificação de fatores desencadeantes da Depressão Pós Parto (DPP). Tratou-se de um estudo de revisão de literatura. Para a busca dos achados utilizou-se as bases de dados: SciELO, BVS e o buscador eletrônico Google Scholar, mediante os cruzamentos dos descritores: Fatores desencadeantes, Depressão Pós-Parto e Cuidados de enfermagem. Foram incluídos estudos de 2013 a maio de 2022, em português, disponíveis gratuitamente. Mediante o método utilizado na coleta de dados, a amostra final foi composta por 10 estudos. Destes, metade deles (50%) estavam no buscador eletrônico Google Scholar, seguido por SciELO (30%) e BVS (20%). Entende-se, portanto, que a DPP ainda é uma realidade na vida de inúmeras mulheres, e muitas vezes a sua ocorrência está associada a ausência de conhecimento e possíveis consequências advindas do despreparo dos profissionais de saúde na identificação da mesma. Muitas vezes a doença é vista apenas como uma fase do puerpério, sendo essa tratada como descaso, aumentando ainda mais o sofrimento da paciente. Dessa forma, os profissionais de enfermagem dentro desse contexto são de fundamental importância, pois atuam na identificação dos sintomas depressivo e fazem os encaminhamentos necessários para que a puérpera possa receber tratamento adequado e de qualidade.
LEADERSHIP STYLE INFLUENCE ON NURSES’ BURNOUT: A SYSTEMATIC REVIEW
Authors: Roshida Devy Syanindita , Paskarini Indriati , Martiana Tri 
Published: August 2023

Introduction: We intend to evaluate the current literature, published from 2019 to 2022 and study the types of leadership styles and how they affected nurse burnout. Aims: the research was to systematically review the influence of leadership style on nurse burnout. Methods A systematic literature search was conducted through an electronic search in three databases and was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) with some inclusion criteria compiled by the research objective. Results A total of 15 selected articles show that leadership styles affected nurse burnout both directly and indirectly. This systematic review shows that some leadership styles had an influence on increasing nurse burnout, as well as affecting their job satisfaction, psychological distress and their intention to leave. Some other leadership styles also influenced reducing nurse burnout and increasing their work engagement. Conclusions Due to the variety of leadership styles studied in the articles, it’s hard to draw specific conclusions. However, this systematic review shows most of the articles stated that some specific leadership styles took part in increasing nurse burnout, and some other leadership styles were able to reduce nurse burnout in particular.
diversity intake Knowledge Level, Economic Status and Number of Family Members on Food Diversity Intake at School-Age Children in Banyumas Regency
Authors: Surijati Katri Andini , Hapsari Pramesthi Widya , Rubai Windri Lesmana 
Published: August 2023

Background Dietary diversity is an indicator of the quality of food intake which is very important to meet the nutritional needs of school-age children to support children's growth and physical development. School-age children (6-12 years) are a very strategic target for health coaching to prepare the next generation who are healthy, independent, productive, qualified, resilient, and able to compete globally. Improving nutrition for primary school children is a strategic step in particular because its impact is directly related to quality human resources (HR) who are ready to compete. Direct factors (diet and infectious diseases) and indirect factors (economic status, maternal knowledge, and several family members) influence the nutritional adequacy of school-age children.
Objectives This study aims to look at the relationship between maternal knowledge about nutrition and health, economic status, and the number of family members on food diversity in primary school children in rural and urban areas of Banyumas Regency during the Covid-19 pandemic.
Methods This study used a quantitative approach with a cross-sectional design involving 58 elementary school students in Banyumas Regency. Data were collected using an online questionnaire on google form to minimize the transmission of the covid-19 virus outbreak between researchers and students who were respondents of this study. Researchers have provided video tutorials on how to fill out a google form questionnaire to avoid confusion that results in biased data provided.
Results The results of this study indicate that most of the mothers' knowledge is still lacking about nutrition and health (63.8%) this can be influenced by the education level of mothers who graduated from high school (43.1%) and most of the mothers are not working or as pure housewives ( 81.1%). knowledge influences the diversity of children's diets (0.44%), economic status (0.009%), and the number of family members (0.26%).
Conclusions There is a relationship between the economic status of parents and the diversity of food for school-age children compared to the level of knowledge of the mother and the number of family members
Keywords: diversity of food, elementary school children, physical activity
Effectiveness of Garlic Extract (Allium sativum L) as Larvicide of Aedes aegypti
Authors: Yearsi Sri Evi New , Munawaroh Siti Dwi 
Published: August 2023

The problem of disease due to dengue virus infection is still a health concern, especially in tropical countries. One of the efforts made is to explore vegetable insecticides as larvicides for dengue vectors, the Aedes aegypti mosquito. Garlic (Allium sativum. L) is believed to be able to repel or inhibit and even kill the larvae of the Aedes aegypti mosquito because garlic has a strong aroma. This study aims to determine the effectiveness of garlic extract as a larvicide of Aedes aegypti. The research method used is a quasi-experimental with a post test only control group design. The larvae of Aedes aegypti used were instar I-IV larvae which were divided into treatment groups and control groups. In the treatment group, Aedes aegypti larvae were given garlic extract with 5 concentrations, namely 0.10% (0.2 mL extract + 200 mL water), 0.20% (0.4 mL extract + 200 mL water), 0.30% (0.6 mL extract + 200 mL water), 0.40% (0.8 mL extract + 200 mL water) and 0.50% (1 mL extract + 200 mL water), while the control group was only given 200 mL mineral water. The results of observing the effectiveness of garlic extract as Aedes aegypti larvicides in all instars showed that the higher the concentration of garlic extract, the more Aedes aegypti larvae died, and the higher the larval instar the higher the concentration needed to kill it. . In the first instar larvae, the LC50 is 0.24%, the second instar is 0.15%, the third instar is 0.16% and the fourth instar is 0.24%, so the higher the instar, the higher the LC50 or concentration needed to kill 50% of the larvae.
Key words : larvacide, Aedes aegypti, Allium sativum
Densification Mechanism and Natural Gas Accumulation Process, Triassic Xujiahe Formation, Hechuan Area, Sichuan Basin, China
Authors: Jiang Lin , Zhao Wen , Bo Dongmei , Fan Yang , Zhou Gang , Hao Jiaqing 
Published: August 2023

Abstract
We have witnessed a skyrocketing development of tight gas in China. However, all developed gas field in China face the obstacle of the decrease of production. The Xujiahe Formation in Sichuan Basin shows a promising future for the next big gas field. In this work, we will shed light on the densification mechanism and natural gas accumulation process of Triassic Xujiahe Formation, Hechuan Area, Sichuan Basin through physical experiments and theory analysis. We describe the reservoir characteristics. The diagenesis types and characteristics of sandstone reservoirs in the promising future of the next big gas field. In this work, we will shed light on the densification mechanism and natural gas accumulation process of Triassic Xujiahe Formation, Hechuan Area, Sichuan Basin through physical experiments and theory analysis. We describe the reservoir characteristics. The diagenesis types and characteristics of sandstone reservoirs in the second Member of Xujiahe Formation in Hechuan area are analyzed by means of rock thin section, cast thin section, and mercury injection. By observing the microscopic characteristics, types, and homogenization temperature distribution of fluid inclusions, the accumulation period of natural gas in Hechuan gas field is given, and the accumulation process of natural gas is revealed. The results show that (1) the natural gas charging the tight sandstone reservoirs of the Upper Triassic Xujiahe Formation in Hechuan area is a continuous process. The gas accumulation period can be roughly divided into two stages; (2) combining with the analysis of the hydrocarbon accumulation period of time, we put forward the natural gas accumulation model of the Xujiahe Formation, Hechuan area: the natural gas accumulation is accompanied by formation densification.
Online sequential DV-Hop Localization Algorithm Based on Machine Learning for Wireless Sensors Network
Authors: Liouane Oumaima , FEMMAM Smain , BAKIR Toufik 
Published: August 2023

Abstract
In many applications of Wireless Sensor Network (WSN), the transmitted data collected from the connected wireless sensor nodes has not great significance without knowing its geographical location. In this paper, firstly, we propose an analytical probabilistic model for multi-hops distance estimation between anchor nodes positions and unknown nodes positions. Moreover, we use the Machine Learning Technique (MLT) to optimize the accuracy of node localization in WSN. A range-free technique, based on the multi-hop localization method, is used with the proposed MLT. The proposed method consists of probabilistic expected hop-size and the On-line Sequential Extreme Learning Machine. The localization performance of the proposed techniques is proved through simulation tests when compared with the other soft-computing algorithms in term of Average Localization Errors (ALE).
Remote or in-clinic? The effect of service delivery mode on hearing aid output: study protocol for a double-blinded, randomized trial in adults with slight to moderate sensorineural hearing loss.
Authors: Lett Craig , Welch David , Dobson Rosie 
Published: August 2023

Abstract

Background Teleaudiology can potentially improve access to hearing healthcare services. Remote hearing aid fittings offer a new mode of service delivery that removes barriers of geography and access to an audiologist. Real Ear Measurements (REMs) are the gold-standard for hearing aid output verification but require in-clinic appointments. This study will investigate whether remote hearing aid fittings can provide clinically equivalent outcomes when compared to current, in-clinic, best-practice guidelines. Research Design: A repeated measures, double-blinded crossover design will be used. Participants will be randomly allocated to one of two groups to determine order of intervention, balanced for degree of hearing loss. Study Sample: Sixty adults with mild to moderate hearing loss and at least one year of experience with hearing aids will be recruited. Data Collection and Analysis: Participants will complete two hearing aid fitting protocols, one using an in-clinic fitting process and the other using a remote (at-home) fitting process. In-clinic fittings will include REMs with adjustments to standard (NAL-NL2) prescription targets. The two fitting protocols will then be randomly assigned to participants in a crossover design, so participants and researchers will be blinded to the order of the two fitting protocols. Participants will then have a four-week period with follow-up appointments for participant-directed gain adjustment. For each fitting protocol, participants will complete objective measurements of final hearing aid output with REMs, speech in noise testing, subjective measurements of hearing aid performance, and quality of life measurements. They will then begin an identical period of living with, adjusting, and objective assessment with the other fitting protocol. Data will be analysed as repeated measures with statistical control for potential confounding variables. Results Data will compare the four-frequency average Real Ear Aided Response (4FREAR) for hearing aids programmed in-clinic and hearing aids programmed remotely, after participant-directed gain adjustments. Secondary measures will assess clinically significant differences in estimated speech intelligibility, hearing-related quality of life, hearing aid benefit, sound quality and preference, and speech-in-noise ability. Conclusions This study will inform the development of best practice guidelines for remote hearing aid fittings. If no clinically significant differences are found between in-clinic and remote fit hearing aids, it has the potential to expand teleaudiology initiatives. Trial registration: Australian New Zealand Clinical Trial Registry, ACTRN12623000028606p. Date of registration: 12 January 2023. https://www.anzctr.org.au/ACTRN12623000028606p.aspx
An Intelligent IoT Based Landfill Fire Prediction And Prevention System
Authors: SAKYA GAYATRI , Yadav Vrattica , Shukla Saumya , Gupta Aditi , Shakya Rajeev K 
Published: August 2023

Abstract

This work focuses on India’s tallest heap of garbage at Ghazipur landfill site in New Delhi. About 2000 tonnes of garbage is being dumped at Ghazipur every day and it causes poisonous gases. Fire, sparked by methane gas coming from the garbage and takes days to extinguish. Methane belching from garbage can cause even more toxic gases. The dumping of garbage needs to be stopped for the betterment of people and the environment. The research helps detect the gases released from garbage and the importance of the project increasing due to the growth of solid waste. The detection of the risk of fire and the communication of this situation to the people could reduce the number of fires. The system also helps with automatic detection of fire in garbage-dumped areas and alerts to the authorities. This research work presents a low cost network based on Long Range(LoRa) network which is able to assess automatically the level of risk of catching fire in the solid waste. The system consists of several LoRa nodes with sensors to scale temperature, relative humidity and increase in methane level. The data coming from LoRa nodes is stored and processed in the server that is The Things Network and sends data finally to a website or an application for the analysis of the collected data using machine learning . This helps in reducing environmental pollution which results in health hazards for the people residing in the vicinity.The Simulation of the Lora Network is done in NS-3 first ,for finding the throughput and latency with different scenarios of lora nodes and gateways. The deployin stretegies are fixed after ns-3 simulation. The ns-3 simulation is done in ns-3.36.1 using lorawan module.Thereafter the prototype model is prepared using LoRA hardware and different sensors. The real time data is collected on the server for data analysis. The work have used machine learning algorithms to analyse real-time sensor data received on a network server through the LoRa Gateway to detect abnormal patterns indicative of a potential fire outbreak and to justify the ―intelligence‖ of our system. The wireless LoRa communication eliminates extensive wiring, while intelligent data analysis enhances accuracy and minimizes false alarms. Experimental evaluations demonstrate the system's effectiveness in timely fire detection and response, minimizing environmental impact and ensuring community safety. The proposed system presents a promising solution for efficient landfill fire early detection, prevention, and mitigation.
Evaluation of the efficacy of a synthetic peptide Chlamydia pecorum Major Outer Membrane Protein vaccine as a management tool in a koala (Phascolarctos cinereus) population severely affected by chlamydiosis
Authors: Simpson Sarah J. , Higgins Damien P. , Timms Peter , Mella Valentina S. A. , Crowther Mathew S. , Fernandez Cristina M. , McArthur Clare , Phillips Samuel , Krockenberger Mark B. 
Published: August 2023

Abstract
Chlamydiosis is a significant disease affecting Eastern Australian koala (Phascolarctos cinereus) populations, impacting individual animal welfare and fecundity and therefore influencing population dynamics. The aim of this study was to investigate the effect of a synthetic peptide vaccine based on 4 components of the Chlamydia pecorumMajor Outer Membrane Protein (MOMP), over an 18-month period in a koala severely impacted by chlamydiosis. Wild koalas were recruited into a vaccination or a placebo treatment group on a random allocation, then followed through a period of 18 months, with recapture at 6 monthly intervals. Vaccination did not alter clinical disease expression or chlamydial shedding from the ocular or urogenital sites. Vaccination did not stimulate a significant plasma anti-MOMP IgG response, when compared to the placebo group. There was no significant effect of vaccination on IFN-γ and IL-17A mRNA expression of peripheral blood lymphocytes when stimulated with rMOMP. We have demonstrated that a synthetic peptide vaccination against chlamydiosis is not an effective management tool in a koala population with a high prevalence of C. pecorum infection and related disease. The lack of antigenic response found in this study suggests that further research utilising a larger, full-length antigen is an avenue worth investigation if we are to consider vaccination as a part of a management strategy in diseased koala populations.
Pearl farming micro-nanoplastics affect both oyster physiology and pearl quality
Authors: Gardon Tony , Luyer Jérémy Le , Moullac Gilles Le , Soyez Claude , Lagarde Fabienne , Dehaut Alexandre , Paul-Pont Ika , Huvet Arnaud 
Published: August 2023

Abstract
Pearl farming is the second most important economic resources of French Polynesia. However, rearing structures are an important source of plastic waste and the widespread contamination of pearl farming lagoons by microplastics has led to questions about risks for the pearl industry. The aim of this study was to test the effects of micro-nanoplastics (MNPs) on the pearl oyster (Pinctada margaritifera) over a 5-month pearl production cycle by closely mimics environmental scenarios. MNPs were produced from plastic pearl farming gear and used at concentrations (0.025 and 1 µg L–1) that oysters may encounter in lagoons to decipher biological and functional responses using integrative approaches. MNP exposure led to the alteration of energy metabolism, mostly driven by a lower assimilation efficiency of microalgae, with modulation of gene expression patterns. A module gene expression was strongly correlated with physiological parameters impaired by MNP conditions. Expression of key genes was suggested to be highly conserved in pearl oyster tissues (mantle, hemocytes and pearl sac) and may be used as potential environmental proxies to assess nutritional-MNP stress conditions of cultured oysters. Pearl biomineralization was also impacted by thinner aragonite crystals, with harvest marked by the presence of abnormal biomineral concretions, called keshi pearls. These experimental results demonstrated that MNPs threaten oyster physiology, with potential detrimental effects on pearl quality. Ecological approaches are now required to test the holistic impact of MNPs on population maintenance and sustainability in the Polynesian pearl industry in the context of the exposome and global climate change.
Carbon Metabolism in “Production-Living-Ecological” Space in Urban Agglomeration Based on Land Use Change
Authors: Qin Menglin , Jiang Hongbo , Liu Yuting , Wu Xinyu , Luo Dingding , Li Hang , Ouyang Huiting 
Published: August 2023

Abstract
To understand the effect of carbon metabolism of “production-living-ecological” (PLE) space evolution caused by land use change in Changsha-Zhuzhou-Xiangtan (CZT) urban agglomeration, this study analyzed the temporal and spatial distribution of PLE space carbon metabolism by constructing a carbon flow model. Using ecological network analysis and utility analysis, the influence of positive and negative carbon flow on carbon metabolism was evaluated. And driving factors on carbon metabolism were explored through Patch-generating Land Use Simulation (PLUS) model. The results showed that from 2000 to 2020, the net carbon flow in CZT urban agglomeration kept negative, and the negative carbon flow mainly came from the transformation from ecological space to production space. In the ecological utility network, the control & exploitation relationship dominated from 2000 to 2005, then shifted to competition relationship from 2005 to 2020. Mutualism relationship appeared in 2000–2005 and then disappeared completely in the later period. The values of the overall ecological utility function M were all less than 1. The driving factors of carbon metabolism in PLE space were mainly elevation, population and nighttime light. Carbon metabolism is an important part of urban material and energy cycle, and the study of carbon metabolism in PLE space is important for regional carbon cycle and carbon emission and sequestration, mitigating climate change and maintaining regional sustainable development.
Regional differences, dynamic evolution, and spatial spillover effects of carbon emission intensity in urban agglomerations
Authors: Qiao Rui , Dong Feng , Xie Xiaoqian , Ji Rui 
Published: August 2023

Abstract
Urban agglomerations are areas of high energy consumption and carbon emissions, and are also the key areas where green development can be realized by reducing pollution and carbon emissions. However, the regional differences and evolutionary trends of carbon emission intensity in urban agglomerations have not been adequately studied. Taking three major city clusters in China as examples, this paper uses Dagum Gini coefficient and its decomposition method, Kernel density estimation method, Markov chain and spatial Markov chain to study the regional differences, dynamic evolution characteristics and spatial spillover effects of carbon emission intensity of urban agglomerations, and accordingly proposes differentiated emission reduction and carbon reduction policies. The following results were obtained: (1) The overall carbon emission intensity of the three major city clusters and each individual urban agglomeration were found to have declined significantly over time, with an overall spatial pattern of "high in the north and low in the south", with inter-group differences being the main source of the overall differences. (2) The imbalance in carbon emission intensity between cities was more obvious within the Beijing-Tianjin-Hebei urban agglomeration, while the synergistic emission reduction effect of the Yangtze River Delta and Pearl River Delta urban agglomerations increased over the study period. (3) The probability of a city maintaining a stable level of carbon emission intensity was much higher than the probability of a state shift, and there was a spatial spillover effect of carbon emissions between neighboring cities. This study can provide theoretical support for the global response to greenhouse gas emissions, promoting green development and carbon reduction in various countries and urban agglomerations, and providing quantitative basis for the formulation of relevant policies.