bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of neonatal mortalities and stillbirths data quality in Offinso North District of Ghana
Authors: Nsiah Richmond , Takramah Wisdom , Anum-Doku Solomon , Avagu Richard , Nyarko Dominic 
Published: January 2022

Background: Stillbirths and neonatal deaths when poorly documented or collated, negatively affect the quality of decision and interventions. This study sought to assess the quality of routine neonatal mortalities and stillbirth records in health facilities and propose interventions to improve the data quality gaps.
Method: Descriptive cross-sectional study was employed. This study was carried out at three (3) purposively selected health facilities in Offinso North district. Stillbirths and neonatal deaths recorded in registers from 2015 to 2017, were recounted and compared with monthly aggregated data and District Health Information Management System 2 (DHIMS 2) data using a self-developed Excel Data Quality Assessment Tool (DQS). An observational checklist was used to collect primary data on completeness and availability. Accuracy ratio (verification factor), discrepancy rate, percentage availability and completeness of stillbirths and neonatal mortality data were computed using the DQS tool.
Findings: The results showed high discrepancy rate of stillbirth data recorded in registers compared with monthly aggregated reports (12.5%), and monthly aggregated reports compared with DHIMS 2 (13.5%). Neonatal mortalities data were under-reported in monthly aggregated reports, but over-reported in DHIMS 2. Overall data completeness was about 84.6%, but only 68.5% of submitted reports were supervised by facility in-charges. Delivery and admission registers availability were 100% and 83.3% respectively.
Conclusion: Quality of stillbirths and neonatal mortality data in the district is generally encouraging, but are not reliable for decision-making. Routine data quality audit is needed to reduce high discrepancies in stillbirth and neonatal mortality data in the district.
Avaliação do processo de filtração para a cerveja artesanal com adjunto de torta de Macaúba
Authors: Vilaça Alessandra Costa , Andrade Maria Helena Cãno de , Souza Cássia Aparecida de , Cardozo Tuane Tayrine Mendes 
Published: January 2022

A cerveja é uma das bebidas fermentadas mais antigas, produzidas pelo homem. A prática iniciou-se mesmo sem o conhecimento do processo fermentativo em si. Atualmente as pesquisas nesse âmbito estão se difundindo rapidamente e a produção de cervejas artesanais, que tem em sua principal composição malte, água, lúpulo e levedura, vem ganhando espaço no mercado de bebidas alcoólicas. Nesse âmbito, muitos produtores visam inovar criando suas próprias cervejas, adicionando ingredientes que venham alterar suas características, tornando-as mais agradável e assim conquistando públicos para suas produções. O acréscimo de outras matérias-primas, ou a substituição do malte pelos adjuntos, pode alterar aromas, sabores e mudar o estilo da cerveja. A fim de avaliar um novo produto, a torta residual gerada pelo processo de extração do óleo da polpa do fruto da Macaúba, foi utilizada para produzir cerveja artesanal. Através da extração do óleo da polpa gerou-se uma torta residual com grande quantidade de finos. Desta forma, avaliou-se a influência desses finos no processo de produção da cerveja. Utilizou-se 25% de torta residual em substituição ao malte. Ao final do processo de maturação quatro litros de cerveja foram submetidos a filtração através de um filtro de membrana de polipropileno e três litros não foram filtrados. Realizou-se análises organolépticas, de açúcares totais, proteínas solúveis, sólidos totais, acidez total, densidade, pH, cor, cinzas e teor alcoólico nas cervejas filtrada e não filtrada. As análises apresentaram diferenças quanto à presença de bolhas nas espumas das cervejas, indicando a presença de óleo residual advindo do processo de extração. Os teores de açúcares foram de 48,8 g/L para a cerveja não filtrada e de 45,8 g/l para a cerveja filtrada, o que indica que grande parte dos finos ficaram retidos na membrana. Para a análise de cor, a filtração influenciou causando grande diferenciação na coloração das cervejas.
Blood pressure profiles in patients with arterial hypertension and obstructive sleep apnea in different age groups
Authors: Kuchmin A. N. , Ekimov V. V. , Galaktionov D. A. , Borisov I. M. , Sheveliov A. A. , Sveklina T. S. 
Published: January 2022

Background. Obstructive sleep apnea (OSA) is frequently associated with hypertension (HTN), and about 50 % hypertensive patients have concomitant OSA. Episodes of transient upper airway obstruction affect the daily blood pressure profile, leading to nocturnal HTN. Although the general relationship between OSA and the daily blood pressure profile is known, the association between the frequency of various daily blood pressure profiles and OSA severity as well as the age-specific differences remain unknown. The aim of the study was to determine the daily blood pressure profiles in patients with HTN and OSA, depending on the OSA severity and age. Design and methods. The study included 236 HTN patients underwent treatment in the period from 2008 to 2021 years and were diagnosed with OSA by cardiorespiratory monitoring: 84 patients had mild OSA (apnea/hypopnea index (AHI) < 15 episodes/h), 46 patients — moderate OSA (15 ≤ AHI < 30 episodes/h), and 106 patients — severe OSA (AHI ≥ 30 episodes/h). The control group included 140 HTN patients without OSA. Both groups were divided into 3 age subgroups: younger than 45 years, 45–59 years and ≥ 60 years. At baseline, all patients underwent cardiorespiratory monitoring (“Kardiotekhnika‑07–3/12P”, Inkart, St Petersburg, Russia) and 24-hour blood pressure (BP) monitoring (BPLab, Nizhny Novgorod, Russia). Results. We found an association between the distribution of daily BP profiles and age, which differs from that in HTN patients without OSA. Non-dipper and night-peaker BP profiles are predominant in young and middle age. Among OSA patients, the severity of OSA was associated with the BP profiles only in the young and middleage groups. Unfavorable BP profiles (non-dipper and night-peaker) were more common in patients with severe OSA, which was not observed in elderly subgroup. In the elderly, compared to younger patients, the overdipper profile was the most common and its frequency was not associated with OSA severity. Conclusions. The study shows the relationship between the age of patients with HTN and OSA, the OSA severity and the distribution of daily BP profiles.
Sympathoadrenal activity and sleep: in the search for a marker of hyperarousal in insomnia
Authors: Bochkarev M. V. , Kulakova M. A. , Kemstach V. V. , Gordeev A. D. , Zabroda E. A. , Osipenko S. I. , Shashkova T. V. , Korostovtseva L. S. , Sviryaev Yu. V. 
Published: January 2022

Objective. To assess subjective and objective sleep characteristics and urinary metanephrine levels in patients with insomnia. Design and methods. We included patients with insomnia complaints and those without sleep– related complaints (control group) 18–75 years old. Subjective evaluation of the main sleep characteristics during the last month was assessed by the Pittsburgh Sleep Quality questionnaire, daytime sleepiness — by the Epworth Sleepiness Scale. For objective sleep evaluation we performed one-night polysomnography (PSG). Within 1 week after the PSG, daily urine was collected to determine the level of metaepinephrine. Results. The groups did not differ by age, mean sleep duration over the past month, number of night awakenings by the Pittsburgh Questionnaire, and level of daytime sleepiness. Sleep latency in insomnia group was 15 minutes longer than in the control group. PSG showed higher apnea-hypopnea and desaturation indices in the control group. There were no differences in daily urinary metanephrine excretion in the main and control groups. Correlation analysis showed no significant association between the metanephrine levels and the severity of somnolence and the index of periodic limb movements. Conclusions. Our analysis showed no significant differences in the daily urine metanephrine levels and the main PSG sleep characteristics among subjects with and without insomnia. Further work is required to clarify markers of insomnia and their negative health effects.
La vinculación en nuestros días: entre el peso de lo institucional y el paso de la pandemia
Authors: Mesmoudi Mehdi 
Published: January 2022

A raíz de la pandemia, la Universidad se ha vuelto un espacio predilecto para las innovaciones sociales e institucionales donde el talento humano y la transformación digital son el insumo ideal para la revolución de nuestro tercer milenio. Este escenario de efervescencia se enmarca en las vislumbres que la Responsabilidad Social ha establecido como filosofía institucional transversal en las últimas dos décadas y que, entre otras cosas, exige un mayor protagonismo social de la Universidad en dichos cambios sociales, políticos y económicos.
Este texto trata de formular los distintos mecanismos interinstitucionales para impulsar un modelo de vinculación orientado a la RSU cuya dimensión descansa en la internacionalización, los valores interculturales, la diplomacia cultural y la innovación digital que dinamiza los vínculos que la Universidad puede establecer y fortalecer su proyección transoceánica como su papel activo en la nueva cartografía de la cooperación internacional.
Palabras clave: Responsabilidad Social Universitaria; Participación social; interculturalidad; diplomacia cultural; vinculación digital
KARAKTERISTIK LAHAN DAN KOMPOSISI JENIS TANAMAN PENYUSUN AGROFORESTRY DI KECAMATAN SESEAN KABUPATEN TORAJA UTARA
Authors: Bachtiar Budirman , Sandabunga Ratu M , Sandabunga Ratu M 
Published: January 2022

Agroforestry system recently developed by the community to meet their needs. But many people’s don’t understand yet to select suitability plants on the agroforestry land. This study aims to determine the land characteristics and components of agroforestry in District Sesean, Toraja District. This research caried out in the way comparethe requireiment of plants and charactristic at land. Plants in research location are robusta coffee, cocoa, banana, mangosteen, buangin (pine mountain), aren, bamboo betung, and uru. The result of research indicated land suitability of plants are moderately suitable (S2) to marginal suitable (S3). Limitation factors that limit plant growth is predominantly rainfall and also temperature, but both of these limiting factors are difficult and can not be repaired.
Keywords :Agroforestry, Land characteristics, Plants
Factors Determining the Three-Year Dynamics of Lipid Metabolism Indicators in Residents of a Large Industrial Region of Siberia
Authors: Tsygankova D. P. , Bazdyrev E. D. , Indukaeva E. V. , Agienko A. S. , Nakhratova O. V. , Artamonova G. V. , Barbarash O. L. 
Published: January 2022

Aim. To assess the contribution of traditional and socio-economic factors to the development and dynamics of dyslipidemia based on the results of an epidemiological study in a large region of Siberia.Material and methods. Clinical and epidemiological prospective study of the population 35-70 years old was carried out. At the basic stage, 1600 participants were examined, including 1124 women and 476 men, the prospective stage included 807 respondents (the response was 84.1%). A survey was carried out to find out the state of health (presence of diseases, taking medications), socio-economic status (level of education and income, marital status) and the presence of behavioral risk factors (tobacco and alcohol use).Results. The proportion of people with hypercholesterolemia increased 1.2 times, low LDL – 1.1 times, and hypertriglyceridemia and low HDL – 1.7 times. In persons with hypertriglyceridemia, the frequency of detected obesity and hypertension decreased by 7.9% and 4.6%, respectively (p = 0.046). Obesity was associated with an increased risk of developing hypercholesterolemia (OR = 1.49, CI: 1.0-2.2), hypertriglyceridemia (OR = 2.14, CI: 1.5-3.0), high LDL cholesterol (OR = 2.16, CI: 1.3-3.6) and low HDL cholesterol (OR = 2.07, CI: 1.5-2.9). The presence of hypertension - with an increased risk of developing hypertriglyceridemia (OR = 2.19, CI: 1.5-3.1) and low HDL (OR = 2.49, CI: 1.8-3.5). Among people with low HDL levels, the number of smokers and drinkers decreased (by 7.0% and 5.7%, respectively), as well as those with obesity by 8.6%. The prevalence of dyslipidemia increased in all socioeconomic groups.Conclusion. Over 3 years of follow-up, there was a statistically significant increase in the proportion of persons with dyslipidemia in all socio-economic groups. There was a significant decrease in such risk factors as obesity, hypertension, smoking, alcohol consumption and an increase in the number of respondents taking lipid-lowering therapy.
THE EFFECT OF BALANCE, CONCENTRATION, AND COORDINATION ON DOLLYO CHAGI KICK SKILLS IN POPB TAEKWONDO ATHLETES IN DKI JAKARTA
Authors: Reggie Reginald  , Fahmy Fachrezzy  , Iwan Hermawan  
Published: January 2022

The aim of this research was to determine the direct and indirect effect as well as the simultaneous effect of exogenous variables with endogenous variables. The research method used was an associative quantitative approach using test and measurement techniques. The data analysis technique used was a path analysis approach. The population in this research was all of POPB DKI Jakarta athletes in 2021 totaling 20 people. The sampling technique used was total sampling so that the number of samples in this research was 20 people consisting of 10 women and 10 men. The skills of Dollyo Chagi Kick Taekwondo used the Dollyo Chagi Kick skills test. The balance used a modified bass test. The concentration used a concentration grid test. The instrument of eye-foot coordination used a smart speed pro coordination test. The results showed that the direct effect of variable X1 on Y = 0,243. The direct effect of variable X2 on Y = 0,567. The direct effect of variable X3 on Y = 0,378. The direct effect of variable X1 on X3 = 0,706. The direct effect of variable X2 on X3 = 0,297. The indirect effect of variable X1 on Y through X3 = 0,706 x 0,378 = 0,267. The indirect effect of variable X2 on Y through X3 = 0,297 x 0,378 = 0,113.
Effect of Chemical Treatment Sequence on Pineapple Peel Fiber: Chemical Composition, Thermal Stability and Thermal Degradation Kinetics
Authors: Pereira Paulo Henrique Fernandes , Ornaghi Heitor Luiz , de Oliveira Daniel Magalhães , Pereira Barbara , Arantes Valdeir , Cioffi Maria Odila Hilário 
Published: January 2022

Abstract
Millions of tons of fruit wastes are generated globally every year from residual agriculture, which makes essential to find alternative uses to increase their aggregate value and reduce the impact of environmental damage. The present study aimed to explore pineapple peel as an alternative source of cellulose by evaluating its composition and physical properties, which are essential to provide a clue to its application function diverse. Cellulose was extracted by a sequence of chlorine-free treatments to delignify the fresh pineapple peels, followed by characterization using chemical composition, XRD, FTIR, SEM and TGA to determine its crystallinity, structural properties, morphology thermal characteristics, and thermal degradation kinetic study. The result revealed that the pineapple peel amorphous segments containing hemicelluloses and lignin were extensively removed with increasing chemical treatments, leading to increased purity, crystallinity index and thermal stability of the extracted materials. The maximum degradation, and crystallinity index of the 2B isolated from the PPF are 150 °C and 80.91% respectively. The cellulose content increased from 24.05% (pineapple peel) to 80.91% (bleached cellulose). These results indicated that pretreatment via bleaching has suitable potential applications in nanocrystal production and suggests possible uses in the development of cellulose nanocrystal and application for packaging films.
Antibacterial Activity of Manuka Honey Against Azithromycin Resistant Extensively Drug Resistant Salmonella Typhi Clinical Isolates: In-Vitro Study
Authors: Jabeen Kokab , Saleem Sidrah , Arshad Faiqa , Zill-e-Huma  , Jahan Shah , Nizamuddin Summiya 
Published: January 2022

Abstract
Typhoid fever is a significant health problem in developing countries like Pakistan. Salmonella Typhi the causative agent of typhoid has developed resistant to almost all recommended antibiotics. Emergence of resistance to third generation cephalosporins has further complicated the situation and such strains are called as extensively drug resistant (XDR) Salmonella Typhi. Currently only available options are azithromycin and cabapenems. Recently few reports of azithromycin resistance have emerged from countries like Pakistan, India, Bangladesh and Nepal. As azithromycin is the only oral option available to treat XDR Typhoid, development of resistance may change treatment strategy altogether from out patient management to hospitalization of every patient. This may increase the burden on already weak health care system of countries like Pakistan. So there is dire need to look for the alternative treatment options. Manuka honey is well known for its therapeutic potential against wide range of bacteria including Salmonella Typhimurium. In this study 3 azithromycin resistant isolates were isolated and identified using disc diffusion, E-test and broth micro dilution methods and antibacterial activity, MIC and MBC of manuka honey was performed by agar well diffusion assay and broth micro dilution assay respectively. Manuka honey manifested significant antibacterial activity against all test isolates with zone of inhibition ranging from 7.3mm to 7.5mm, MIC and MBC values were between 10 to 15% v/v Here, we conclude that Manuka honey possess potent antibacterial activity and might be used as an alternative treatment option against azithromycin resistant XDR Typhid. However, further clinical trials are mandatory to validate our initial findings.
Genetic determinants of polygenic prediction accuracy within a population
Authors: Lu Tianyuan , Forgetta Vincenzo , Richards J. Brent , Greenwood Celia 
Published: January 2022

Abstract
Genomic risk prediction is on the emerging path towards personalized medicine. However, the accuracy of polygenic prediction varies strongly in different individuals. In this study, based on up to 352,277 White British participants in the UK Biobank, we constructed polygenic risk scores for 15 physiological and biochemical quantitative traits after performing genome-wide association studies (GWASs). We identified 185 polygenic prediction variability quantitative trait loci (pvQTLs) for 11 traits by Levene’s test among 254,376 unrelated individuals. We validated the effects of pvQTLs using an independent test set of 58,927 individuals. A score aggregating 51 pvQTL SNPs for triglycerides had the strongest Spearman correlation of 0.185 (p-value < 1.0x10−300) with the squared prediction errors. We found a strong enrichment of complex genetic effects conferred by pvQTLs compared to risk loci identified in GWASs, including 89 pvQTLs exhibiting dominance effects. Incorporation of dominance effects into polygenic risk scores significantly improved polygenic prediction for triglycerides, low-density lipoprotein cholesterol, vitamin D, and platelet. After including 87 dominance effects for triglycerides, the adjusted R2 for the polygenic risk score had an 8.1% increase on the test set. In addition, 108 pvQTLs had significant interaction effects with measured environmental or lifestyle exposures. In conclusion, we have discovered and validated genetic determinants of polygenic prediction variability for 11 quantitative biomarkers, and partially profiled the underlying complex genetic effects. These findings may assist interpretation of genomic risk prediction in various contexts, and encourage novel approaches for constructing polygenic risk scores with complex genetic effects.
Transcriptome and Proteome Analyses Reveal Stage-Specific DNA Damage Response in Embryos of Endangered Sturgeon
Authors: Gazo Ievgeniia , Naraine Ravindra , Lebeda Ievgen , Tomčala Aleš , Dietrich Mariola , Fraňek Roman , Pšenička Martin , Šindelka Radek 
Published: January 2022

Abstract
DNA damage during early life stages may have a negative effect on embryo development, inducing malformations that have long-lasting effects during adult life. Therefore, in the current study, we analyzed the effect of DNA damage induced by genotoxicants (camptothecin (CPT) and olaparib) at different stages of embryo development. We analyzed the survival, DNA fragmentation, transcriptome, and proteome of the endangered sturgeon Acipenser ruthenus. Sturgeons are non-model fish species that can provide new insights into the DNA damage response and embryo development. The transcriptomic and proteomic patterns changed significantly after exposure to genotoxicants in a stage-dependent manner. The results of this study indicate a correlation between phenotype formation and changes in transcriptomic and proteomic profiles. CPT and olaparib downregulated oxidative phosphorylation and metabolic pathways, and upregulated pathways involved in nucleotide excision repair, base excision repair, and homologous recombination. We observed the upregulated expression of zona pellucida sperm-binding proteins in all treatment groups, as well as the upregulation of several glycolytic enzymes. The analysis of gene expression revealed several markers of DNA damage response and adaptive stress-response, which could be applied in toxicological studies on fish embryo. This study is the first complex analysis of the DNA damage response in endangered sturgeons.
AFD-Net: Apple Foliar Disease Multi Classification using Deep Learning on Plant Pathology Dataset
Authors: Yadav Anju , Thakur Udit , Saxena Rahul , Pal Vipin , Bhateja Vikrant , Lin Jerry Chun-Wei 
Published: January 2022

Abstract
Plant diseases significantly affect the crop, so their identification is very important. Correct identification of these diseases is crucial for establishing a good disease control strategy to avoid time and financial losses. In general, machines can greatly reduce the possibility of human error. In particular, computer vision techniques developed through deep learning have paved a way to detect and diagnose these plant diseases on the leaf. In this work, the model AFD-Net was developed to detect and identify various leaf diseases in apple trees. The dataset is from Kaggle 2020 and 2021 and was financially supported by the Cornell Initiative for Digital Agriculture. A AFD-Net was proposed for leaf disease classification in apple trees and the results of the efficiency of the model are compared with other state-of-the-art deep learning approaches. The results of the experiments in the validation dataset show that the proposed AFD-Net model achieves the highest values compared to other deep learning models in the original and extended datasets with 98.7% accuracy for Plant Pathology 2020 and 92.6% for Plant Pathology 2021.