bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of antenatal care and skilled birth attendance services utilization among childbearing women in Guinea: evidence from the 2018 Guinea Demographic and Health Survey data
Authors: Ahinkorah Bright Opoku , Seidu Abdul-Aziz , Agbaglo Ebenezer , Adu Collins , Budu Eugene , Hagan John Elvis , Schack Thomas , Yaya Sanni 
Published: January 2021

Abstract
Background
Globally, maternal health remains a major priority. Most of maternal deaths globally occur in sub-Saharan Africa, with most of these deaths linked to lack of access to antenatal care and skilled assistance during delivery. This study assessed the determinants of antenatal care and skilled birth attendance services utilization among childbearing women in Guinea.

Methods
Data for this study were obtained from the 2018 Guinea Demographic and Health Survey (GDHS). Data of 4,917 childbearing women were considered as our analytical sample. The outcome variables for the study were utilization of antenatal care and skilled birth attendance. Analysis was carried out using chi-square tests and multivariable logistic regression.

Results
The results showed that women aged 15-24 (AOR=1.29, CI=1.03-1.62), women who had secondary/higher level of education (AOR=1.70, CI=1.33-2.19), and those whose partners had secondary/higher level of education (AOR=1.46, CI=1.22-1.75), women in the richest wealth quintile (AOR=5.09, CI=3.70-7.00), those with planned pregnancies (AOR=1.50, CI=1.23-1.81), Muslim women (AOR=1.65, CI=1.38-2.12), those who take healthcare decisions alone (AOR=1.53, CI=1.24-1.89), and those who listened to radio less than once a week (AOR= 1.30, CI=1.10-1.53) had higher odds of antenatal care uptake. Also, women with secondary/higher level of education (AOR=1.83, CI=1.25-2.68), those whose partners had secondary/higher level of education (AOR=1.40, CI=1.11-1.76), those in the richest wealth quintile (AOR=10.79, CI=6.64-17.51), those with planned pregnancies (AOR=1.25, CI=1.03-1.52), Christian women (AOR=4.13, CI=3.17-5.39), those living in urban areas (AOR=3.00, CI=2.29-3.94), women with one birth (AOR= 1.58, CI=1.20-2.06), those who take healthcare decisions alone (AOR=1.87, CI=1.46-2.39), those who read newspaper at least once a week (AOR= 1.19, CI=1.01-1.40), those who watched television at least once week (AOR=1.69, CI=1.30-2.19), and those in female-headed households (AOR=1.52, CI=1.20-1.92) were more likely to utilize the services of skilled birth attendants.

Conclusion
The study proved that various socio-economic and contextual factors influence antenatal care and skilled birth attendance in Guinea. These findings suggest the need to design community-based interventions (e.g., miniature local ANC clinics, early screening services) that prioritize women’s education and vocational training, media accessibility, especially among the poor, and those residing in rural settings. Such interventions should not ignore the influence of other socio-cultural norms that hinder the utilization of antenatal care and skilled birth attendance services in Guinea.
An ecological approach to the development of an active aging measurement in urban areas (AAMU)
Authors: Lak Azadeh , Rashidghalam Parichehr , Amiri S. Nouroddin , Myint Phyo K. , Baradaran Hamid R. 
Published: January 2021

AbstractBackgroundAn essential element in the process of “aging well” is the concept of Active Aging (AA). To propose an operational definition of Active Aging, the present study seeks to develop a new measurement tool through an ecological approach. The aim is to recognize significant indicators that play a role in assessing AA in urban areas.MethodsThis study was conducted through a two-phase process of consensus-building: 1) identifying a set of indicators that were likely candidates for inclusion based on literature review, and 2) a two-round modified Delphi survey using an international panel of academic experts in environmental sciences and gerontology to achieve consensus on the importance of the extracted indicators and validate the items. The panelists were asked to complete a researcher-developed questionnaire with an 11-point Likert scale based on the indicators derived in phase 1. Finally, the Delphi survey’s valid indicators and criteria were utilized to develop the measurement tool.ResultsAt the outset, a list of 111 indicators of AA was prepared through the desk study. A panel of 22 experts reviewed the extracted items and arrived at a consensus on 99 items in the first round and finalised in the second round. Thematic analysis of the panelists’ open-ended responses revealed new concepts that would be explicitly considered by the consensus group. This developed measurement scale consists of five domains, i.e., individual, spatial, socio-economic, governance, and health-related, which contain 15 criteria and 99 indicators.ConclusionsThe present researchers have developed the active aging measure for urban settlements (AAMU), which can be used both by policy-makers and as an informal self-reported statement among the elderly. AAM’s results in the elderly’s residential environmental communities can improve policy-making to address urban design to sustain an active, healthy life among older people in urban environments.
Antibacterial activity of methanol extracts of the leaves of three medicinal plants against selected bacteria isolated from wounds of lymphoedema patients
Authors: Nigussie Dereje , Davey Gail , Legesse Belete Adefris , Fekadu Abebaw , Makonnen Eyasu 
Published: January 2021

AbstractBackgroundPatients with lymphoedema are at high risk of getting bacterial and fungal wound infections leading to acute inflammatory episodes associated with cellulitis and erysipelas. In Ethiopia, wound infections are traditionally treated with medicinal plants.MethodsAgar well diffusion and colorimetric microdilution methods were used to determine the antibacterial activity of methanol extracts of the three medicinal plants againstStaphylococcus aureus, Streptococcus pyogenes, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Shewanella alage, methicillin-resistantS. aureusATCC®43300TM,Staphylococcus aureusATCC25923,Escherichia coliATCC25922,Klebsiella pneumoniaeATCC700603, andPseudomonas aeruginosaATCC37853.ResultsThe methanol extract ofL. inermisleaves showed high activity against all tested bacterial species, which was comparable to the standard drugs. Similarly, the extracts ofA. indicashowed activity against all tested species though at higher concentrations, and higher activity was recorded againstStreptococcus pyogenesisolates at all concentrations. However, the extract ofA. asperashowed the lowest activity against all tested species exceptStreptococcus pyogenesisolates. The lowest minimum inhibitory concentration (MIC) was recorded with the extract ofL. inermisagainstE. coliisolate andS. aureusATCC 25923.ConclusionMethanol extracts ofL. inermis, A. indica, andA. asperaleaves exhibited antimicrobial activity against selected bacterial isolates involved in wound infections, of which the methanol extracts ofL. inermisexhibited the highest activity. The results of the present study support the traditional use of plants against microbial infections, which could potentially be exploited for the treatment of wound infections associated with lymphoedema.
Assessment of muscle activity using electrical stimulation and mechanomyography: a systematic review
Authors: Uwamahoro Raphael , Sundaraj Kenneth , Subramaniam Indra Devi 
Published: January 2021

AbstractThis research has proved that mechanomyographic (MMG) signals can be used for evaluating muscle performance. Stimulation of the lost physiological functions of a muscle using an electrical signal has been determined crucial in clinical and experimental settings in which voluntary contraction fails in stimulating specific muscles. Previous studies have already indicated that characterizing contractile properties of muscles using MMG through neuromuscular electrical stimulation (NMES) showed excellent reliability. Thus, this review highlights the use of MMG signals on evaluating skeletal muscles under electrical stimulation. In total, 336 original articles were identified from the Scopus and SpringerLink electronic databases using search keywords for studies published between 2000 and 2020, and their eligibility for inclusion in this review has been screened using various inclusion criteria. After screening, 62 studies remained for analysis, with two additional articles from the bibliography, were categorized into the following: (1) fatigue, (2) torque, (3) force, (4) stiffness, (5) electrode development, (6) reliability of MMG and NMES approaches, and (7) validation of these techniques in clinical monitoring. This review has found that MMG through NMES provides feature factors for muscle activity assessment, highlighting standardized electromyostimulation and MMG parameters from different experimental protocols. Despite the evidence of mathematical computations in quantifying MMG along with NMES, the requirement of the processing speed, and fluctuation of MMG signals influence the technique to be prone to errors. Interestingly, although this review does not focus on machine learning, there are only few studies that have adopted it as an alternative to statistical analysis in the assessment of muscle fatigue, torque, and force. The results confirm the need for further investigation on the use of sophisticated computations of features of MMG signals from electrically stimulated muscles in muscle function assessment and assistive technology such as prosthetics control.
Economic burden of cardiovascular diseases before and after Iran’s health transformation plan: evidence from a referral hospital of Iran
Authors: Alipour Vahid , Zandian Hamed , Yazdi-Feyzabadi Vahid , Avesta Leili , Moghadam Telma Zahirian 
Published: January 2021

AbstractBackgroundDifferent countries have set different policies to control and decrease the costs of cardiovascular diseases (CVDs). Iran was aiming to reduce the economic burden of different disease by a recent reform from named as health transformation plan (HTP). This study aimed to examine the economic burden of CVDs before and after of HTP.MethodsThis cross-sectional study was conducted on 600 patients with CVDs, who were randomly selected from a specialized cardiovascular hospital in the north-west of Iran. Direct and indirect costs of CVDs were calculated using the cost of illness and human capital approaches. Data were collected using a researcher-made checklist obtained from several sources including structured interviews, the Statistical Center of Iran, Iran’s Ministry of Cooperatives, Labor, and Social Welfare, the central bank of Iran, and the data of global burden of disease obtained from the Institute for Health Metrics and Evaluation to estimate direct and mortality costs. All costs were calculated in Iranian Rials (IRR).ResultsTotal costs of CVDs were about 5571 and 6700 billion IRR before and after the HTP, respectively. More than 62% of the total costs of CVDs accounted for premature death before (64.89%) and after (62.01%) the HTP. The total hospitalization costs of CVDs was significantly increased after the HTP (p = 0.038). In both times, surgical services and visiting had the highest and lowest share of hospitalization costs, respectively. The OOP expenditure decreased significantly and reached from 54.2 to 36.7%. All hospitalization costs, except patients’ OOP expenditure, were significantly increased after the HTP about 1.3 times. Direct non-medical costs reached from 2.4 to 3.3 billion before and after the HTP, respectively.ConclusionEconomic burden of CVDs increased in the north-west of Iran after the HTP due to the increase of all direct and indirect costs, except the OOP expenditure. Non-allocation of defined resources, which coincided with the international and national political and economic challenges in Iran, led to unsustainable resources of the HTP. So, no results of this study can be attributed solely to the HTP. Therefore, more detailed studies should be carried out on the reasons for the significant increase in CVDs costs in the region.
Prevalence and associated factors for alcohol use disorder among tuberculosis patients: a systematic review and meta-analysis study
Authors: Necho Mogesie , Tsehay Mekonnen , Seid Muhammed , Zenebe Yosef , Belete Asmare , Gelaye Habitam , Muche Amare 
Published: January 2021

Abstract
Background
Alcohol use disorders (AUD) in tuberculosis patients are complicated with poor compliance to anti-tuberculosis treatment and poor tuberculosis treatment outcomes. However, aggregate data concerning this problem is not available. Therefore, this review aimed to fill the above gap by generating an average prevalence of AUD in tuberculosis patients.

Method
Our electronic search for original articles was conducted in the databases of Scopus, PubMed, and EMBASE, African Index Medicus, and psych-info. Besides, the reference list of selected articles was looked at manually to have further eligible articles for the prevalence and associated factors of AUD in tuberculosis patients. The random-effects model was employed during the analysis. MS-Excel was used to extract data and stata-11 to determine the average prevalence of AUD among tuberculosis patients. A sub-group analysis and sensitivity analysis were also run. A visual inspection of the funnel plots and an Eggers publication bias plot test were checked for the presence of publication bias.

Result
A search of the electronic and manual system resulted in 1970 articles. After removing duplicates and unoriginal articles, only 28 articles that studied 30,854 tuberculosis patients met the inclusion criteria. The average estimated prevalence of AUD in tuberculosis patients was 30% (95% CI: 24.00, 35.00). This was with a slight heterogeneity (I2 = 57%, p-value < 0.001). The prevalence of AUD in tuberculosis patients was higher in Asia and Europe; 37% than the prevalence in the US and Africa; 24%. Besides, the average prevalence of AUD was 39, 30, 30, and 20% in studies with case-control, cohort, cross-sectional and experimental in design respectively. Also, the prevalence of AUD was higher in studies with the assessment tool not reported (36%) than studies assessed with AUDIT. AUD was also relatively higher in studies with a mean age of ≥40 years (42%) than studies with a mean age < 40 years (24%) and mean age not reported (27%). Based on a qualitative review; the male gender, older age, being single, unemployment, low level of education and income from socio-demographic variables, retreatment and treatment failure patients, stigma, and medication non-adherence from clinical variables were among the associated factors for AUD.

Conclusion
This review obtained a high average prevalence of AUD in tuberculosis patients and this varies across continents, design of studies, mean age of the participants, and assessment tool used. This implied the need for early screening and management of AUD in tuberculosis patients.
In the era of humanitarian crisis, young women continue to die in childbirth in Mali
Authors: Coulibaly Pierre , Schantz Clémence , Traoré Brehima , Bagayoko Nanko S. , Traoré Abdoulaye , Chabrol Fanny , Guindo Oumar 
Published: January 2021

AbstractMaternal mortality occurs mostly in contexts of poverty and health system collapse. Mali has a very high maternal mortality rate and this extremely high mortality rate is due in part to longstanding constraints in maternal health services. The central region has been particularly affected by the humanitarian crisis in recent years, and maternal health has been aggravated by the conflict. Sominé Dolo Hospital is located in Mopti, central region. In the last decade, a high number of pregnant or delivering women have died in this hospital.We conducted a retrospective and exhaustive study of maternal deaths occurring in Mopti hospital. Between 2007 and 2019, 420 women died, with an average of 32 deaths per year. The years 2014–2015 and the last 2 years have been particularly deadly, with 40 and 50 deaths in 2018 and 2019, respectively. The main causes were hypertensive disorders/eclampsia and haemorrhage. 80% of these women’s deaths were preventable. Two major explanations result in these maternal deaths in Sominé Dolo’s hospital: first, a lack of accessible and safe blood, and second, the absence of a reference and evacuation referral system, all of which are aggravated by security issues in and around Mopti.Access to quality hospital care is in dire need in the Mopti region. There is an urgent need for a safe blood collection system and free of charge for pregnant women. We also strongly recommend that the referral/evacuation system be reinvigorated, and that universal health coverage be strengthened.
Screening and selection strategy for the establishment of biosimilar to trastuzumab-expressing CHO-K1 cell lines
Authors: Lao-Gonzalez Thailin , Bueno-Soler Alexi , Duran-Hernandez Arnelys , Sosa-Aguiar Katya , Hinojosa-Puerta Luis Eduardo , Hernandez-Garcia Tays , de la Luz-Hernandez Kathya Rashida , Palacios-Oliva Julio , Boggiano-Ayo Tammy 
Published: January 2021

AbstractThe high prices of biopharmaceuticals or biologics used in the treatment of many diseases limit the access of patients to these novel therapies. One example is the monoclonal antibody trastuzumab, successfully used for breast cancer treatment. An economic alternative is the generation of biosimilars to these expensive biopharmaceuticals. Since antibody therapies may require large doses over a long period of time, robust platforms and strategies for cell line development are essential for the generation of recombinant cell lines with higher levels of expression. Here, we obtained trastuzumab-expressing CHO-K1 cells through a screening and selection strategy that combined the use of host cells pre-adapted to protein-free media and suspension culture and lentiviral vectors. The results demonstrated that the early screening strategy obtained recombinant CHO-K1 cell populations with higher enrichment of IgG-expressing cells. Moreover, the measurement of intracellular heavy chain polypeptide by flow cytometry was a useful metric to characterize the homogeneity of cell population, and our results suggest this could be used to predict the expression levels of monoclonal antibodies in early stages of cell line development. Additionally, we propose an approach using 25 cm2T-flasks in suspension and shaking culture conditions as a screening tool to identify high producing cell lines. Finally, trastuzumab-expressing CHO-K1 clones were generated and characterized by batch culture, and preliminary results related to HER2-recognition capacity were successful. Further optimization of elements such as gene optimization, vector selection, type of amplification/selection system, cell culture media composition, in combination with this strategy will allow obtaining high producing clones.
Physiological characterization and transcriptome analysis of Pichia pastoris reveals its response to lignocellulose-derived inhibitors
Authors: Paes Barbara G. , Steindorff Andrei Stecca , Formighieri Eduardo F. , Pereira Ildinete Silva , Almeida João Ricardo M. 
Published: January 2021

AbstractThe negative effects of lignocellulose-derived inhibitors such as acetic acid and furaldehydes on microbial metabolism constitute a significant drawback to the usage of biomass feedstocks for the production of fuels and chemicals. The yeast Pichia pastoris has shown a great biotechnological potential for producing heterologous proteins and renewable chemicals. Despite its relevance, the performance of P. pastoris in presence of lignocellulose-derived inhibitors remains unclear. In this work, our results show for the first time the dose-dependent response of P. pastoris to acetic acid, furaldehydes (HMF and furfural), and sugarcane biomass hydrolysate, both at physiological and transcriptional levels. The yeast was able to grow in synthetic media with up to 6 g.L−1 acetic acid, 1.75 g.L−1 furaldehydes or hydrolysate diluted to 10% (v/v). However, its metabolism was completely hindered in presence of hydrolysate diluted to 30% (v/v). Additionally, the yeast was capable to co-consume acetic acid and glucose. At the transcriptional level, P. pastoris response to lignocellulose-derived inhibitors relays on the up-regulation of genes related to transmembrane transport, oxidoreductase activities, RNA processing, and the repression of pathways related to biosynthetic processes and central carbon metabolism. These results demonstrate a polygenetic response that involves detoxification activities, and maintenance of energy and cellular homeostasis. In this context, ALD4, OYE3, QOR2, NTL100, YCT1, and PPR1 were identified as target genes to improve P. pastoris tolerance. Altogether, this work provides valuable insights into the P. pastoris stress tolerance, which can be useful to expand its use in different bioprocesses.
Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation
Authors: Saleh Abeer Mohsin , Hamoud Talal 
Published: January 2021

AbstractPerson Recognition based on Gait Model (PRGM) and motion features is are indeed a challenging and novel task due to their usages and to the critical issues of human pose variation, human body occlusion, camera view variation, etc. In this project, a deep convolution neural network (CNN) was modified and adapted for person recognition with Image Augmentation (IA) technique depending on gait features. Adaptation aims to get best values for CNN parameters to get best CNN model. In Addition to the CNN parameters Adaptation, the design of CNN model itself was adapted to get best model structure; Adaptation in the design was affected the type, the number of layers in CNN and normalization between them. After choosing best parameters and best design, Image augmentation was used to increase the size of train dataset with many copies of the image to boost the number of different images that will be used to train Deep learning algorithms. The tests were achieved using known dataset (Market dataset). The dataset contains sequential pictures of people in different gait status. The image in CNN model as matrix is extracted to many images or matrices by the convolution, so dataset size may be bigger by hundred times to make the problem a big data issue. In this project, results show that adaptation has improved the accuracy of person recognition using gait model comparing to model without adaptation. In addition, dataset contains images of person carrying things. IA technique improved the model to be robust to some variations such as image dimensions (quality and resolution), rotations and carried things by persons. Results for 200 persons recognition, validation accuracy was about 82% without IA and 96.23 with IA. For 800 persons recognition, validation accuracy was 93.62% without IA.