bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comunicação entre as autoras e o Instituto Federal por meio da plataforma Fala.br
Authors: Silva Leonice Edna de Araújo , Novaes Adelina 
Published: October 2023

Introdução e objetivo: Com o objetivo de oferecer um diálogo mais profícuo entre o gestor e o Fala.br, e favorecer a comunicação e o planejamento por parte dos gestores do IFSP, analisou-se um processo de comunicação entre a pesquisadora, que é gestora do IFSP, com o Fala.br, tomando como cenário a alimentação escolar em 2020 e 2021, durante o ensino remoto emergencial provocado pela pandemia de Covid-19. Métodos: Foi feita uma pesquisa qualitativa exploratória, no qual o estudo partiu de uma revisão narrativa e documental da literatura associada à alimentação escolar, foram usadas questões elaboradas a partir de documentos de prestação de contas emitidos pelo Instituto Federal para submeter as questões aos gestores na plataforma Fala.br . Para o tratamento das informações, foi utilizada a Análise de Livre Interpretação-ALI. Resultados e Discussão: Analisou-se a comunicação feita, por meio de um quadro de potencialidades e fragilidades entre as partes, obteve-se dados relevantes em relação ao atendimento da política pública do Programa Nacional de Alimentação Escolar (PNAE), como atendimento as compras da agricultura familiar e ao uso da verba em sua totalidade, entre outros apontamentos encontrados, observou-se também que os gestores ainda encontram dificuldade em elaborar respostas adequadas às demandas do Fala.br, no que diz respeito ao acesso à informação. Conclusão: Pode-se inferir que o IFSP teve êxito no atendimento da demanda de alimentação escolar durante a Pandemia, e que o processo de comunicação com o Fala.br, com os pesquisadores e a sociedade pode ser ainda aprimorado.
IDENTIFIKASI POTENSI EROSI BERDASARKAN NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) DAN SLOPE DI DAERAH TANGKAPAN AIR (DTA) SUB-SUB DAS RIAM KANAN SUB DAS MARTAPURA DAS BARITO
Authors: Pribadi Annisa Firdianti Aprilia , Indrayatie Eko Rini , Asy'ari Mufidah 
Published: October 2023

Land use change or land change can affect the ability of land to resist erosion. Vegetated land has a stronger erosion resistance than non-vegetated land. The level of criticality of an area's land can be seen from the amount of erosion. This study is purposely to identidy areas that have the potential for erosion based on their greenness index and also their slope. The method used is integration between NDVI (Normalized Difference Vegetation Index) and Slope by utilizing Landsat 8 satellite imagery recorded in 2014, Sentinel 2A satellite imagery recorded in 2018 and 2021, and Digital Elevation Model (DEM) data. Based on the analysis, it was found that the class levels of erosion potential were different in the three periods. The results showed that the Riam Kanan catchment area was dominated by very light erosion potential classes because the Riam Kanan catchment area was still dominated by green land. The potential for very light erosion occurs on predominantly green or vegetated lands such as secondary forests and rubber plantations. Meanwhile, the heavy erosion potential class occurs on land with minimal vegetation such as shrubs and mining landAlih fungsi lahan atau perubahan lahan dapat mempengaruhi kemampuan lahan dalam menahan erosi. Lahan yang bervegetasi memiliki kemampuan menahan erosi lebih kuat dari pada lahan tidak bervegetasi. Tingkat kekritisan lahan suatu daerah dapat dilihat dari besaran erosinya. Penelitian ini bertujuan untuk mengidentifikasi daerah yang berpotensi erosi berdasarkan indeks kehijauan dan juga kelerengannya. Metode yang digunakan adalah pengintegrasian antara NDVI (Normalized Difference Vegetation Index) dan Slope dengan memanfaatkan citra satelit Landsat 8 perekaman tahun 2014, citra satelit Sentinel 2A perekaman tahun 2018 dan 2021, serta data Digital Elevation Model (DEM). Berdasarkan analisis didapatkan tingkatan kelas potensi erosi yang berbeda-beda dalam tiga periode. Hasil penelitian menunjukkan bahwa di DTA Riam Kanan didominasi oleh kelas potensi erosi sangat ringan dikarenakan DTA Riam Kanan masih didominasi oleh lahan yang hijau. Potensi erosi sangat ringan terjadi pada lahan dominan hijau atau bervegetasi seperti hutan sekunder dan perkebunan karet. Sedangkan kelas potensi erosi berat terjadi pada lahan minim vegetasi seperti semak belukar dan pertambangan
The BioPoly Partial Resurfacing Knee Implant Provides Beneficial Clinical Outcomes
Authors: Nathwani Dinesh , McNicholas Michael , Hart Alister , Miles Jonathan , Bobić Vladimir 
Published: October 2023

Abstract:
We previously conducted a single-arm, prospective study in which 31 patients (mean age [and standard deviation], 42.5 ± 11.3 years) with cartilage lesions were treated with use of the BioPoly Partial Resurfacing Knee Implant. Treatment outcomes were compared with those reported for the standard of care, microfracture. We found that the mean KOOS (Knee injury and Osteoarthritis Outcome Score) Quality of Life score at 5 years in the BioPoly cohort was noninferior to (p = 0.004), and indeed greater than (p = 0.021), that in the microfracture cohort. The BioPoly cohort demonstrated improvement in the mean scores for all KOOS domains at every postoperative time point (p < 0.025). The mean score for the visual analog scale (VAS) for pain significantly improved (p < 0.025) at all time points up to 4 years and trended toward significant improvement at 5 years (p = 0.027). This study indicated that the BioPoly implant was safe, provided significant improvement starting at 6 months and continuing to 5 years, and provided greater improvement than microfracture for some outcome measures.

Level of Evidence:
Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
Programa Criança Feliz: an Evaluation of the Impact on Maternal and Child Mortality and Nutrition
Authors: Lazaretti Lauana Rossetto , Becker Kalinca Léia 
Published: October 2023

Abstract

Background
Intervention programs for pregnant women and children in early childhood are known for their effectiveness and contribution to child health and development. To promote these indicators, the Programa Criança Feliz (PCF) started to monitor families in 2017 in Brazil. The present study aims to measure the impact of the PCF on the mortality and nutrition indicators of children and pregnant women in Brazilian municipalities benefited.
Methods
The identification strategy is based on two characteristics of the program: 1) the gradual adhesion of the municipalities, and 2) the specific characteristics that the municipality needs to have to be able to adhere. This leads to the use of the instrumented differences-in-differences (what is here referred to as a DDIV) method.
Results
The results indicate that the municipalities that are part of the PCF have lower rates of maternal deaths and, children from zero to six months have a higher adequate weight and a lower proportion of thinness. The results remain robust to variations in control groups, are monotonic concerning the time of exposure to treatment, and are higher in the north and northeast regions of the country.
Conclusions
This has important implications, because when the children are born with an adequate weight, the probability is that it will develop fewer diseases and that it will be a healthier child. Considering that health costs with newborns are high, healthier children generate less expenses for the public system. This makes preventive actions, such as the PCF case, highly cost-effective.
Temporal Forecasting by Converting Stochastic Behaviour into a Stable Pattern in Electric Grid.
Authors: Qashou Akram , Yousef sufian 
Published: October 2023

Abstract

The malfunction variables of power stations are related to the areas of weather, physical structure, control, and load behavior. To predict temporal power failure is difficult due to their unpredictable characteristics. As high accuracy is normally required, the estimation of failures of short-term temporal prediction is highly difficult. This study presents a method for converting stochastic behavior into a stable pattern, which can subsequently be used in a short-term estimator. For this conversion, K-means clustering is employed, followed by Long-Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms are used to perform the Short-term estimation. The environment, the operation, and the generated signal factors are all simulated using mathematical models. Weather parameters and load samples have been collected as part of a dataset. Monte-Carlo simulation using MATLAB programming has been used to conduct experimental estimation of failures. The estimated failures of the experiment are then compared with the actual system temporal failures and found to be in good match. Therefore, to address the gap in knowledge for any future power grid estimated failures, the achieved results in this paper form good basis for a testbed to estimate any grid future failures.
Comprehensive analysis of characteristic genes of inflammation-related bronchopulmonary dysplasia based on bioinformatics methods
Authors: An Ning , Li Mingxia 
Published: October 2023

Abstract

Background: Bronchopulmonary dysplasia (BPD) is the most common complication of premature infants, and inflammation plays an important role in it. In this research, the key genes of inflammation-related BPD were comprehensively analyzed by bioinformatics methods, and a prediction model was constructed.
Methods: We obtained the GSE188944 and GSE108794 datasets from the GEO database and conducted GO and KEGG enrichment analyses to identify differential genes associated with inflammation-related BPD. Through the implementation of LASSO regression, RF, and XGBOOST algorithms, identify the key genes. The accuracy of these key genes in predicting BPD was assessed using ROC curve analysis and AUC calculations. In addition, the GSE190215 data set is used for external verification. Furthermore, we performed GSEA to quantify the key genes and analyze pathways, examine immune cell infiltration in BPD tissues, and explore the correlation amongst the key genes. Additionally, we used relevant databases to predict the miRNA and transcription factors associated with the key genes.
Results: This study successfully identified seven key genes (HLA-DRB1, SLC39A8, IL2RA, SYK, CD180, IL6ST, IL18R1) as novel markers for constructing a diagnostic prediction model for BPD. GSEA analysis revealed enrichment pathways related to the key genes, and significant differences in the infiltration of CD8+ T cells, natural killer cells, and mast cells were observed between BPD and non-BPD samples.
Conclusion: We successfully developed a risk model for inflammation-related BPD key genes, displaying favorable verification performance, but poor external verification performance. These findings suggest that inflammatory genes may influence the occurrence and progression of BPD through immune cell infiltration.
Factors associated with readmission risk in patients with HIV stratified by BMI: a hospital-based retrospective study
Authors: Shi Yi-rong , Deng Qiu-xia , Cao Jing , Wang Jing-hua , Ning Xian-jia , Wen Min , Chen Wei-mei , Chao Yan-ling 
Published: October 2023

Abstract
Objective: To assess risk factors for repeated hospitalization in patients with human immunodeficiency virus (HIV) stratified by BMI and to provide evidence for clinical diagnosis, treatment, and nursing.
Methods: Patients admitted to our hospital from January 2020 to June 2020 were included in the study group, and patients with repeat hospitalizations (≥ 2) during 2 years of follow-up were included in the observation group; a 1:1 case-control group was selected according to the general data such as age and sex and stratified by baseline body mass index（BMI）(< 18.5 kg/m2, ≥ 18.5 &＜25kg/m2). Demographic and clinical data were collected and analyzed. Binary logistic regression was used to analyze risk factors for repeat hospitalization in patients with AIDS with different baseline BMIs.
Results: This study included 311 individuals with HIV, of whom 80 had a BMI < 18.5 kg/m2 (low body weight)and 231 had a BMI ≥ 18.5&＜28 kg/m2(normal body weight). The readmission rate of those with low body weight was higher than those normal body weight (p = 0.025). In patients with HIV with a baseline BMI < 18.5 kg/m2, unemployment (versus employment) and lowest CD4+ T cell count were independent risk factors for readmission. The receive operating characteristic (ROC) curve constructed using these two variables performed better than other variables in predicting readmission in the lower BMI group. In contrast, in patients with HIV with a BMI ≥ 18.5&＜28 kg/m2, unemployment (versus employment) and time since diagnosis > 5 years (versus 0–1 years) were risk factors, whereas marital status of widowed or divorced was a protective factor (versus married). Furthermore, the ROC curve including these three variables performed better than other variables in predicting readmission in the higher BMI group.
Conclusions: Risk factors for repeat hospitalization varied among patients with AIDS patients with different baseline BMIs. For individuals with HIV, the present model can be effectively and efficiently used to predict the occurrence of readmission based on BMI.
Characterisation of Polycyclic Aromatic Hydrocarbons in Mangrove Sediments of Ifiekporo Creek, Warri South Local Government Area, Delta State, Nigeria.
Authors: Berezi Okpoebi Kenneth , Aghomi Sisanmi Samuel , Eriegha Ochuko Joshua 
Published: October 2023

Abstract

The occurrence and level of polycyclic aromatic hydrocarbons (PAHs) in the mangrove sediment of the Ifiekporo community in Warri South Local Government Area of Delta State were assessed in this study. A total of 10 sediment samples were collected from 10 sites along the Ifiekporo Creek. The extraction of PAHs from the sediment samples was achieved using the PAHs Analytical Test Method (USEPA 8270). This method measures individual concentrations of extractable PAHs in samples. The aliphatic and poly-aromatic hydrocarbons were quantified within C11-C22. The basic GC parameters for the analysis of polyaromatic hydrocarbons were analyzed using the Gas Chromatograph-Mass Selective Detector (GC-MSD). The individual PAH concentration in mangrove sediment samples varies from Not Detected (ND) to 3.47 µg/kg. The PAHs concentration of 3.47 µg/kg was highest in sampling point 5 across the sampling points. The PAH source apportionment employing isomeric ratios and multivariate statistics indicated both pyrogenic and petrogenic source inputs in sediment samples. The PAHs homologous distribution sequence for sediment is 3-ring > 2-ring > 1-ring > 6-ring. The sediment samples are mostly dominated by LMW PAHs. The result of the ecological risk assessment in the study area indicates that there is low ecological risk associated with PAH exposures in sediment. These results provide data on the concentrations and compositional patterns of PAHs, which is useful in understanding the effects, sources, fate, and transport of PAHs in sediment in the study area, as well as providing relevant information for environmental quality management and forensic studies.
Understanding Research Gaps for Fungal Meningitis in the United States; Scoping Review
Authors: Lee Sage , Owusu Mark Asare , Walekhwa Abel Wilson 
Published: October 2023

Abstract

Background
This paper conducts a literature review and analysis on fungal meningitis (FM) which is a fungal infection that causes inflammation to the spinal cord and brain membranes. We identified a discrepancy in that most meningitis cases are due to bacterial causes and consequently more attention including control programmes is focused here. For example, meningitis vaccines are mainly focused on the bacterial cause while viral and FM seem to be neglected meanwhile there are still cases of FM. In this study, we sought to understand the existing evidence and areas for future research regarding the clinical epidemiology of FM in the US.
Methods
A protocol for human review was developed to inform this scoping review. A search of published studies on Google Scholar, Web of Science and PubMed was carried out using key search terms on 20th − 22nd May 2022 and 13th − 14th June 2023. We followed with manual searching of the grey literature to identify additional articles not captured through these sources. All articles that were accessed on these databases were appraised against a defined inclusion criterion. All ages, occupations and sexes of humans living in the USA. Furthermore, we also included all forms of FM detections through different diagnostic methods from registered and licensed suppliers for the diagnostics tools.
Results
Fungal meningitis is a fungal disease that causes the spinal and brain cord membrane inflammation. In the United States, Histoplasma meningitis is more common in the Midwest, such as the Ohio and Mississippi River valleys. In general, however, fungal meningitis was found to be most commonly prevalent in southern states, as fungi grow most in these areas. With this disease, the diagnostic process of fungal meningitis and the specific causative agent remains important and key to recovery. Some gaps of knowledge that were found were the lack of reliable diagnostic methods of FM, insufficient knowledge of the specific mechanisms of fungal pathogens when infecting the host and entering the brain, and uncertainty in the timing and length of antiretroviral therapy. Some future areas of research that we suggest are conducting more research on BDG testing in diagnosis, and generally focusing on advancing diagnostic methods of FM. We also suggest further studies in the understanding of pathogen interactions with the host, so that a greater understanding of the specific mechanisms during infection of FM can be reached.
Trial registration
Not applicable
CLEC19A overexpression inhibits tumor cell proliferation/migration and promotes apoptosis concomitant suppression of PI3K/AKT/NF-κB signaling pathway in Glioblastoma Multiforme
Authors: Mohajerani Fatemeh , Tehrankhah Zahra Moazezi , Rahmani Saeid , Afsordeh Nastaran , Shafiee Sajad , Pourgholami Mohammad Hossein , Soltani Bahram M , Sadeghizadeh Majid 
Published: October 2023

Abstract

Background: GBM is the most frequent malignant primary brain tumor in humans. The CLEC19A is a member of the C-type lectin family, which has a high expression in brain tissue. Herein, we sought to carry out an in-depth analysis to pinpoint the role of CLEC19Aexpression in GBM.
Methods: To determine the localization of CLEC19A, this protein was detected using Western blot, Immunocytochemistry/Immunofluorescence, and confocal microscopy imaging. CLEC19A expression in glioma cells and tissues was evaluated by qRT-PCR. Cell viability, proliferation, migration, and apoptosis were examined through MTT assay, CFSE assay, colony formation, wound healing assay, transwell test, and flow cytometry respectively after CLEC19A overexpression. The effect of CLEC19A overexpression on the PI3K/AKT/NF-κB signaling pathway was investigated using Western blot. An in vivo experiment substantiated the in vitroresults using the glioblastoma rat models.
Results: Our in-silicoanalysis using TCGA data and measuring CLEC19A expression level by qRT-PCR determined significantly lower expression of CLEC19A in human glioma tissues compared to healthy brain tissues. By employment of ICC/IF, confocal microscopy imaging, and Western blot we could show that CLEC19A is plausibly a secreted protein. Results obtained from several in vitroreadouts showed that CLEC19A overexpression in U87 and C6 glioma cell lines is associated with the inhibition of cell proliferation, viability, and migration. Further, qRT-PCR and Western blot analysis showed CLEC19A overexpression could reduce the expression levels of PI3K, VEGFα, MMP2, and NF-κB and increase PTEN, TIMP3, RECK, and PDCD4 expression levels in glioma cell lines. Furthermore, flow cytometry results revealed that CLEC19A overexpression was associated with significant cell cycle arrest and promotion of apoptosis in glioma cell lines. Interestingly, using a glioma rat model we could substantiate that CLEC19Aoverexpression suppresses glioma tumor growth.
Conclusions: To our knowledge, this is the first report providing in-silico, molecular, cellular, and in vivo evidences on the role of CLEC19A as a putative tumor suppressor gene in GBM. These results enhance our understanding of the role of CLEC19Ain glioma and warrant further exploration of CLEC19A as a potential therapeutic target for GBM.
Multi-UAV Assisted Internet of Remote Things Communication within Satellite-Aerial-Terrestrial Integrated Network
Authors: Yao Yuanyuan , Dong Dengyang , Cai Changjun , Huang Sai , Yuan Xin , Gong Xiaocong 
Published: October 2023

Abstract
Due to the limited transmission capabilities of terrestrial intelligent devices within the Internet of Remote Things (IoRT), this paper proposes an optimization scheme aimed at enhancing data transmission rate while ensuring communication reliability. This scheme focuses on multi-unmanned aerial vehicle (UAV)-assisted IoRT data communication within the Satellite-Aerial-Terrestrial Integrated Network (SATIN), which is one of the key technologies for the sixth generation (6G) networks. To optimize the system's data transmission rate, we introduce a multi-dimensional Coverage and Power Optimization (CPO) algorithm, rooted in the block coordinate descent (BCD) method. This algorithm concurrently optimizes various parameters, including the number and deployment of UAVs, the correlation between IoRT devices and UAVs, and the transmission power of both devices and UAVs. To ensure comprehensive coverage of a large-scale randomly distributed array of terrestrial devices, combined with machine learning algorithm, we present the Dynamic Deployment based on K-means (DDK) algorithm. Additionally, we address the non-convexity challenge in resource allocation for transmission power through variable substitution and the successive convex approximation technique (SCA). Simulation results substantiate the remarkable efficacy of our CPO algorithm, showcasing a maximum 240% improvement in the uplink transmission rate of IoRT data compared to conventional methods.