bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling of rainfall and its probability distribution
Authors: babatunde EHIMONY james , OLAOMI JOHN , BABATUNDE EHIMONY JAMES 
Published: November 2022

Abstract

The monthly rainfall data of 80 years were collected from the Nigeria Meteorological Agency Abuja, Nigeria. The data were from seven major synoptic stations in the Northern Nigeria. We measure the trends of intensity in rainfall and obtain the best fit trend on yearly rainfall. The data showed that the average annual rainfalls at different stations are significantly different and degree of peak also varies in each station from the Kernel density test. We observed, there were high intensity of rainfall which exhibits a cyclical trend with frequent periodicities in amount of rainfall owning to high humidity and low temperature in Jos station. The trend increases exhibit exponential distributions at every point of change with high degree of skewness with a similar peak every year; the result of the trend analysis shows clear fluctuations in the pattern of rainfall for the period under study. Three statistical goodness of fit test were carried out in order to select the best fit probability distribution on the basis of highest rank with minimum value of test statistic. It was observed that Generalized Extreme value distribution and Log Pearson are the best fitted from the Anderson Darling test as its produces minimum value than other probability distributions. The chi-square test on associations between the 17 probability distributions, show that five probability distributions; Gamma, Pearson(6), Gamma(2), Weibull(3) and lognormal(3p) are significant at p-value(< 0.001), they are best fitted on yearly rainfall. Kolmogorov Smirnov test was used to rank the 17 probability distributions to obtain the best fit on rainfall, we observed that Normal, Gamma (2p), Gamma(3p), Log Normal and Log Pearson(3p) are the best fitted distributions, they are strong with a robust parameters to measure rainfall.
Modelling the biological treatment process aeration efficiency: application of the artificial neural network algorithm
Authors: Muloiwa Mpho , Dinka Megersa , Nyende-Byakika Stephen 
Published: November 2022

Abstract
The biological treatment process (BTP) is responsible for removing chemical oxygen demand (COD) and ammonia using microorganisms present in wastewater. The BTP consumes large quantities of energy due to the transfer of oxygen using air pumps/blowers. Energy consumption in the BTP is due to low solubility of oxygen, which results in low aeration efficiency (AE). The aim of the study was to develop an AE model that can be used to monitor the performance of the BTP. Multilayer perceptron artificial neural network (MLP ANN) algorithm was used to model AE in the BTP. The performance of the AE model was evaluated using R2, mean square error (MSE), and root mean square error (RMSE). Sensitivity analysis was performed on the AE model to determine variables that drive AE. The results of the study showed that MLP ANN algorithm was able to model AE. R2, MSE, and RMSE results were 0.939, 0.0025, and 0.05, respectively, during testing phase. Sensitivity analysis results showed that temperature (34.6%), COD (21%), airflow rate (19.1%), and OTR/KLa (15.7%) drive AE. At high temperatures, the viscosity of wastewater is low which enables oxygen to penetrate the wastewater, resulting in high AE. The AE model can be used to predict the performance of the BTP, which will assist in minimizing energy consumption.
IMPACTOS DAS TECNOLOGIAS DE INFORMAÇÃO E COMUNICAÇÃO COMO ESTRATÉGIA DE EDUCAÇÃO PERMANENTE EM SAÚDE PARA OS PROFISSIONAIS DE ENFERMAGEM
Authors: Kelly Pontes Soares Brenda , Emanuelle Silva de Carvalho Lúcia , Araujo de Souza Talita , Da Silva Jose Adailton 
Published: November 2022

Introdução: As Tecnologias da Informação e Comunicação são úteis no processamento, no armazenamento e na transmissão de informação. No campo da saúde elas proporcionam a melhoria na qualidade de vida dos sujeitos e avanços no processo de trabalho dos profissionais ao otimizarem recursos e promoverem a inovação tecnológica de alto impacto social. Objetivo: Identificar na literatura quais os impactos das Tecnologias de Informação e Comunicação na educação permanente em saúde para os profissionais de enfermagem. Metodologia: Trata-se de uma revisão integrativa da literatura que possui a seguinte questão norteadora: “Quais os impactos das tecnologias de informação e comunicação como estratégia de educação permanente em saúde para os profissionais de enfermagem?”. O levantamento das publicações ocorreu no período de setembro a outubro de 2020, nas bases de dados PubMed Central: PMC, Web of Science, CINAHL, SCOPUS e EMBASE. Fora localizados 2.296 artigos, e após a aplicação dos critérios de inclusão: artigos de pesquisa originais, que a temática respondesse à pergunta norteadora, open access e que estivesse dentro do intervalo de 2016 a 2020, foi realizada a leitura e análise dos artigos, e 7 artigos foram selecionados para a amostra final. Resultados: Após a análise dos estudos formaram 3 categorizações temáticas: “Vantagens da educação permanente por meio da TIC”; “Os desafios da educação permanente através do modelo e-learning”; e “Aprimoramento da educação permanente por meio da TIC”. Conclusões: Identifica-se o desempenho positivo do uso das Tecnologias de Informação e Comunicação como ferramenta utilizada pelos enfermeiros na educação permanente, grande praticidade e maior acessibilidade aos mais variados temas abordados nesses processos de aprendizagem.
Pharmacological Screening of Species from the Lippia genus, Content in Terpenes
and Phenylpropanoids, and their Vasorelaxing Effects on Human Umbilical
Artery
Authors: de Menezes Dantas Debora , Pereira-de-Morais Luís , de Alencar Silva Andressa , da Silva Renata Evaristo Rodrigues , Dias Francisco Junio , de Sousa Amorim Thais , Cruz-Martins Natália , Melo Coutinho Henrique Douglas , Barbosa Roseli 
Published: November 2022

Background:
Naturally occurring bioactive compounds have a plethora of biological effects.

Objective:
In this study, we examined a pharmacological screening of natural products on the human umbilical
artery (HUA).

Methods:
HUA preparations were used to follow contractions by KCl (60 mM) and tested at different concentrations
(1-5000 μg/mL and μM) of the Lippia alba (EOLa) and Lippia origanoides (EOLo) essential oils, terpenes
(citral, limonene perilic alcohol) and phenylpropanoids (eugenol, methyl eugenol).

Results:
The reduction corresponded to approximately 100%, except for limonene (80 ± 1.2%). When evaluating
the concentration of the natural product that promotes 50% relaxation of the HUA contracted by KCL, EC50
values were: 424.3 μg/mL (EOLa); 468.7 ± 6.7 μg/mL (EOLo); 264.2 ± 8.2 μM (citral); 677.8 ± 5.4 μM (limonene);
186.3 ± 6.4 μM (peryl alcohol); 986.4 ± 7.9 μM (eugenol); and 279.1 ± 4.4 μM (methyl-eugenol). Perillyl
alcohol had a lower EC50 (consequently it has a higher pharmacological potency).

Conclusion:
The plant extracts have a promising vasorelaxing effect in HUAs, paving the way for future investigations:
as applications in diseases related to these vessels, such as preeclampsia.
Electrochemical Sensor Design Based on Silver Nanoparticles Modified
Multiwalled Carbon Nanotubes Paste Electrode for the Sensitive Determination
of Mepivacaine
Authors: Demir Ersin , Silah Hülya , Erkmen Cem , Uslu Bengi 
Published: November 2022

Abstract:
Mepivacaine, an amide-type local anesthetic drug widely used in regional anesthesia,
was studied by some aspects such as electrochemical behavior, mechanism illumination, and analytical
applications by cyclic voltammetry (CV) and different pulse voltammetry (DPV) methods.
In this study, a novel, fast, simple, portable, and the inexpensive electrochemical sensor was developed
for the determination of mepivacaine. This study was carried out by mepivacaine anodic direction
detection for the first time. The modified sensor was fabricated with silver nanoparticles
(AgNP) and multiwalled carbon nanotubes paste electrode (MWCNTPE) by using the drop-dry
method. Different experimental parameters, such as pulse amplitude, step potential, and scanning
rate in the DPV application module, were optimized. Under optimal operation conditions, the limit
of detection (LOD) as low as 31 μg L-1 was found over the dynamic range (0.1–8.0 mg L-1). In
contrast to its high response towards mepivacaine, the DPV exhibits negligible responses on modified
AgNP/MWCNTPE when exposed to interfering species such as dopamine, uric acid, glucose,
ascorbic acid, and some heavy metals. Exceptionally, the proposed DPV method on modified
AgNP/MWCNTPE was successfully applied to pharmaceutical dosage form and synthetic human
serum with a low relative standard deviation (RSD) of 1.35% and 2.02%, respectively.
Study on Cellular Localization of Bin Toxin and its Apoptosis-inducing
Effect on Human Nasopharyngeal Carcinoma Cells
Authors: Boonserm Panadda , Kanwal Simab 
Published: November 2022

Background:
Bacterial pore-forming toxins, BinA and BinB together known as the binary
toxin are potent insecticidal proteins, that share structural homology with antitumor bacterial
parasporin-2 protein. The underlying molecular mechanism of Bin toxin-induced cancer cell cytotoxicity
requires more knowledge to understand whether the toxin induced human cytotoxic effects occur
in the same way as that of parasporin-2 or not.

Methods:
In this study, anticancer properties of Lysinibacillus sphaericus derived Bin toxin on HK1
were evaluated through MTT assay, morphological analysis and lactate dehydrogenase efflux assay.
Induction of apoptosis was determined from RT-qPCR, caspase activity and cytochrome c release assay.
Internalization pattern of Bin toxin in HK1 cells was studied by confocal laser-scanning microscopic
analysis.

Results:
Activated Bin toxin had strong cytocidal activity to HK1 cancer cell line at 24 h postinoculation.
Both BinA and BinB treated HK1 cells showed significant inhibition of cell viability at
12 μM. Induction of apoptotic mediators from RT-qPCR and caspase activity analyses indicated the
activation of programmed cell death in HK1 cells in response to Bin toxin treatment. Internalization
pattern of Bin toxin studied by using confocal microscopy indicated the localization of BinA on cell
surface and internalization of BinB in the cytoplasm of cancer cells as well as colocalization of BinA
with BinB. Evaluation of cytochrome c release also showed the association of BinB and BinA+BinB
with mitochondria.

Conclusions:
Bin toxin is a cytotoxic protein that induces cytotoxic and apoptotic events in HK1
cells, and may have high therapeutic potential as an anti-cancer agent.
Integrating Bioinformatics and Network Pharmacology to Explore
the Therapeutic Target and Molecular Mechanisms of Schisandrin on
Hypertrophic Cardiomyopathy
Authors: Shen Chaozhuang , Shen Pingping , Wang Xiaohu , Wang Xingwen , Shao Wenxin , Geng Kuo , Xie Haitang 
Published: November 2022

Background:
Hypertrophic cardiomyopathy (HCM) is the most common inherited heart disease and is currently the leading cause of sudden death in adolescent athletes. Schisandrin is a quality marker of the traditional Chinese medicine Schisandra chinen-sis, which has an excellent therapeutic effect on HCM, but its pharmacological mecha-nism remains unclear.

Objective:
This study aimed to explore the potential and provide scientific evidence for schisandrin as a lead compound against hypertrophic cardiomyopathy.

Methods:
The drug-like properties of schisandrin were predicted using the Swis-sADME website. Then, the PharmMapper database was used to predict potential drug targets and match gene names in the Uniprot database. HCM targets were collected from NCBI, OMIM, and Genecards databases and intersected with drug targets. The intersection targets were imported into the STRING database for PPI analysis, and core targets were identified. KEGG and GO enrichment analysis was performed on the core targets through the DAVID database, and all network maps were imported into Cyto-scape software for visualization optimization. HCM-related datasets were downloaded from the GEO database to analyze core targets and screen differentially expressed target genes for molecular docking.

Results:
After the PPI network analysis of the intersection targets of drugs and diseases, 12 core
targets were screened out. The KEGG analysis results showed that they were mainly involved in
Rap1, TNF, FoxO, PI3K-Akt, and other signaling pathways. After differential analysis, PPARG,
EGFR, and MMP3 targets were also screened. The molecular docking results showed that schisandrin
was well bound to the protein backbone of each target.

Conclusion:
This study used network pharmacology combined with differential expres-sion and molecular docking to predict that schisandrin may treat HCM by acting on PPARG, EGFR, and MMP3 targets, and the regulatory process may involve signaling pathways, such as Rap1, TNF, FoxO, and PI3K-Akt, which may provide a valuable reference for subsequent studies.
Analysis Queues at Counters for Outpatients in the Regional Public Hospital of Makassar Indonesia
Authors: Alim Andi , Arwan Arwan , Gafur Abdul , Badwi Adam 
Published: November 2022

Background:
The queue is something that many consumers or customers encounter. Many consumers or customers complain about the long queue, but there are also customers who are satisfied with a company service that is so fast without having to queue too long.

Objective:
This study aims to determine the service time, file completeness, and service facilities for the Queuing Analysis at the Regional Public Hospital of Makassar City, South Sulawesi.

Methods:
This type of research is analytic research with cross-sectional design and the total sample is 185 people.

Results:
This study found that there was a relationship between service time and queue analysis at the counters of Regional Public Hospital of Makassar City (p = 0.000), there was a relationship between file completeness and queuing analysis at the counters of Regional Public Hospital of Makassar City (p = 0.004), there was a relationship with service facilities. on the analysis of queues at the counters of Regional Public Hospital of Makassar City (p = 0.000).

Conclusion:
Based on the findings above, health workers should provide good service to outpatients so as not to make patients complain about long queues and to improve the quality of health services at the Regional Public Hospital of Makassar City.
Socio-Medical Characteristics Of Patients With Lumbar Discopathy
Authors: Alexandra-Liliana Cioara , Irina Albadi , Andreea-Alexandra Lupu 
Published: November 2022

Abstract
Lumbar discopathy remains an actual problem with a high frequency among people within 35-45 years. In most of the cases, the hernia is located in the lumbar area, most frequently at L4 or L5. In this region, the dorsal vertebral ligament is narrower and less developed, the spine has a higher lordosis and special mobility, all these things leading to an easier transmission of the traumatic shocks. Most often anatomical factors are combined with the environmental ones, favoring degenerative modifications in the spine. The purpose of this analysis is to see the socio-medical impact on the most common pathology of the spine.
Presentation of so far undetermined bird remains from the Upper Miocene (MN13) of Polgárdi 4 and 5 (Fejér county, West Hungary)
Authors: Kessler Jenő Eugen , Horváth Ida 
Published: November 2022

Abstract
The authors have identified the mostly very fragmentary bird fossils from the uncatalogued material of the Hungarian Institute of Geology and Geophysics to the level that the condition of the bones allows. Almost half of the 102 bone pieces (42 fragments) could be completely or partially identified, while the rest (60 fragments represented either by bone fragments or by toe phalanges, claws, mandibles, etc.) could not be identified. The material identified includes taxa previously published and known from the site, but a good number of these are represented by other bones or parts of bones, as in previous publications (Palaeortyx phasianoides Milne-Edwards, 1869, Palaeocryptonix hungaricus Jánossy, 1991, Porzana † kretzoii Kessler, 2009, Glaucidium † baranensis Kessler, 2010, Apus † baranensis Jánossy, 1977, Lullula † minor Kessler, 2013, Delichon † polgardiensis Kessler, 2013, Riparia † major Kessler, 2013, Sitta † gracilis Kessler, 2013). The taxa identified at order, family or genus level are listed in the main text and complemented by one figure, as well as a rich bibliographic material.
The effect of Vitamins C and E on clinical outcomes of patients with severe traumatic brain injury: A propensity score matching study
Authors: Khalili Hosseinali , Abdollahifard Saeed , Niakan Amin , Aryaie Mohammad 
Published: November 2022

Background:The aim of this study was to assess the effect of Vitamins C and E on mortality, intensive care unit (ICU) length of stay, and Glasgow Outcome Scale-Extended (GOS-E) score of traumatic brain injury (TBI) patients.Methods:Using data from records of patients in a retrospective cohort study, we included 1321 TBI patients, 269 treated and 1052 untreated, aged over 18 years with information on exposure (i.e., Vitamins C and E) and confounders. Age, Glasgow Coma Scale, pupil status, Rotterdam classification, blood sugar, blood pressure, international normalized ratio, and comorbidity of patients were considered as the confounding factors. Endpoints were GOS-E on follow-up, mortality, and ICU length of stay. Propensity score matching was performed to adjust the confounders.Results:Based on the average treatment effect estimates, the use of Vitamins C and E reduced the risk of mortality (risk difference [RD]: −0.07; 95% confidence interval [CI]: −0.14–−0.003) and reduced the length of ICU stay (RD -1.77 95% CI:-3.71-0.16). Furthermore, our results showed that GOS-E was improved significantly (RD: 0.09, 95% CI : 0.03-0.16).Conclusion:Our study suggests that using Vitamins C and E could decrease mortality and length of ICU stay and improve the GOS-E score and functions of the patients with severe TBI. As they are safe and inexpensive medications, they can be used in routine practice in ICUs to improve the outcomes of TBI patients.
SARS-CoV-2 infection outcomes associated with the Delta variant: A prospective cohort study
Authors: Gallant Maxime , Rioux-Perreault Christine , Lemaire-Paquette Samuel , Piché Alain 
Published: November 2022

Background: It is well established that fully vaccinated (≥2 doses) individuals may develop COVID-19. However, little is known about the specific prevalence of post-COVID-19 conditions associated with the Delta variant or the effect of vaccination on post-acute outcomes of COVID-19. In addition, how Delta variant infection severity compares in fully vaccinated individuals versus in those unvaccinated is unknown. Methods: This prospective single-centre observational cohort study assessed adults with SARS-CoV-2 proven infection from August 1 to November 1, 2021. Study participants were enrolled in the Biobanque Québécoise de la COVID-19. Data on demographics, comorbidities, and severity of COVID-19 were collected. Simple and multiple logistic regressions were used to identify risk factors for post-COVID-19 conditions. Results: Among the 395 individuals who were interviewed by phone, 138 (39.4%) agreed to participate. Of the 138 participants, 62.8% were Delta-associated breakthrough infections that occurred in fully vaccinated individuals and 37.1% in unvaccinated individuals. The majority (93.5%) had a history of mild COVID-19 illness. The prevalence of Delta-variant-associated post-COVID-19 conditions was similar in both vaccinated (61.4%) and unvaccinated (51.4%) groups ( p = 0.347). The number of symptoms during acute infection was an independent risk factor for post-COVID-19 conditions. Conclusions: This study is the first to describe the incidence of Delta-associated post-COVID-19 condition. In this study, COVID-19 vaccination was not associated with decreased post-COVID-19 conditions in patients with breakthrough Delta infection. These findings have important implications for provincial services planning and underscore the need to develop alternative strategies to prevent post-COVID-19 conditions.
Foreign investments and their investment in the economy of Ukraine with the help of the fund market
Authors: Kryvenko Yuliia 
Published: November 2022

Subject of research is foreign investments. The purpose of this article is a study of the nature and peculiarities of attracting foreign investments into the Ukrainian economy through the stock market. Methods which were used in course of research: method of system-structural analysis and synthesis, method of comparative analysis, generalization, general scientific, special methods of scientific knowledge and other methods of research. Study results. The role of attracting investments into the country's economy is characterized. The essence, importance and necessity of intensifying the investment function and the participation of households in economic relations with regard to the purchase of various financial assets in the stock market are investigated. Negative phenomena in investment activity are identified and the main ways of improving the investment climate of Ukraine are identified. Application of results. The results of the study can be used in the activities of the Ministry of Finance of Ukraine, the Verkhovna Rada of Ukraine, the National Securities and Stock Market Commission, as well as in higher education institutions in teaching economic disciplines. Conclusions. Reinvigorating economic, including investment and innovation, and improving social conditions on this basis is only possible through decisive, comprehensive and consistent market reforms that will free up entrepreneurial initiative, create a competitive environment and provide the economy with incentives for effective development.