bluuebunny/crossref_metadata_2025_split huggingface dataset:
Case Management Knowledge and Commodity Stocking Pattern for Common Childhood Illnesses among Patent and Proprietary Medicine Vendors in Ebonyi and Kaduna States, Nigeria
Authors: Akuiyibo Selema Margaret , Anyanti Jennifer , Amoo Babatunde Abiodun , Aizobu Dennis , Idogho Omokhudu 
Published: May 2021

Abstract
Background: The trio of commonest illnesses and causes mortality among children under five (Malaria, Pneumonia and Diarrhea) are easily treatable through timely exposure to cost effective interventions at the community level. Patent and proprietary medicine vendors (PPMVs) are a leading source of care for illnesses among under-five children in Nigeria. This study was designed to explore child health services offering, particularly commodity stocking patterns and case management knowledge for common childhood illnesses among PPMVs in Ebonyi and Kaduna States.Methods: A descriptive cross-sectional study was conducted among PPMVs in four local government areas across Ebonyi and Kaduna States. Data was collected using semi-structured interviewer-administered questionnaires. Information was obtained on medicine and supplies, knowledge of common childhood illnesses management and referral practices.Results: A total of 374 PPMVs were interviewed; the mean age was 33.7+­ 9.8 years. Among the 132 health trained respondents, 59.0% offer treatment services for sick children while 83.5% of the non-health trained respondents offer the same service. At least, 88.0% of the respondents keep stock ACTs, Amoxycilin DT, ORS and Zinc. About 38.5% reported stock-out of ACTs in the month preceding the study, 55.1% reported stock out lasting only 0 to 6 days. Only 83 (22.2%) of respondents knew the correct diagnosis of fast breathing among children aged 2 to less than 12 months old. Education and health training background were associated with a good knowledge of common childhood illnesses management (X2 = 44.88, p <0.001; X2 = 27.14, p <0.001).Conclusion: The relative constant availability of medicines and commodities for managing childhood illnesses positions PPMVs as a preferred source of care for these illnesses. There is a need to complement steady stock availability with provision of quality services by exposing PPMVs to trainings on integrated community case management of childhood illnesses and implementation of robust supervision mechanism to monitor them.
Novel Cellulose Nanofibers/Polyvinyl Alcohol/Polyethyleneimine Nanoparticle for Cu2+ Removal in Water
Authors: Si Rongrong , Wu Chaojun , Yu Dongmei , Ding Qijun , Li Ronggang 
Published: May 2021

Abstract
In this study, environmentally friendly CNF/PVA/PEI nanoparticle was obtained by assembling PEI (polyethyleneimine) into CNF/PVA aerogels, which were prepared by freeze-drying method with the help of glutaraldehyde. FTIR results showed that PEI likely assembled into the CNF/PVA aerogel due to appearances of bending vibration of the CNF/PVA/PEI nanoparticle at 1615cm− 1. BET results further demonstrated that PEI have successfully assembled into aerogel since the specific surface area (22.93m2/g) of CNF/PVA/PEI nanoparticle was lower than that (56.37m2/g) of CNF/PVA aerogel. SEM results also showed that PEI could obviously regulate the morphology of CNF/PVA aerogel. TGA indicated that CNF/PVA/PEI nanoparticle was structurally stable at 216.4°C. The adsorption kinetics of the CNF/PVA/PEI nanoparticle for Cu2+ removal presented good correlations with the Pseudo-second-order model. The adsorption and desorption results showed that the removal rate of 2g/L CNF/PVA/PEI nanoparticle for Cu2+in water could reach more than 93% when the concentration of Cu2+ ranged from 20 to 80mg/L in one hour, and it could still retain more than 80% after 3 cycles.
Association of miR-155, miR-187 and Inflammatory Cytokines Il-10 and TNF-α in Chronic Opiate Abusers
Authors: PUROHIT PURVI , Roy Dipayan , Dwivedi Shailender , Nebhinani Naresh , Sharma Praveen 
Published: May 2021

Abstract
The current study determined levels of inflammatory cytokines TNF-α, IL-6, IL-10 and immune-regulatory miR-155 and miR-187 expressions in chronic opiate abuse. Adults (n = 48), meeting the 5th Edition of the DSM criteria regarding opioid use disorder, and healthy controls (n = 46) were included in the study. Serum samples were analysed for inflammatory cytokines IL-10, IL-6, TNF-α using ELISA and PBMCs processed for miRNA expression using SybrGreen chemistry. Cases showed significantly raised IL-10 and TNF-α and reduced IL-6. Using RNU6 for normalization, dose-dependent corresponding upregulation of miR-155-5p and downregulation of miR-187-5p were evident at opiate dose > 1500 gm/day, with a corresponding increase of TNF-α and IL-10. MiR-155 showed a significant negative correlation with IL-6 and TNF-α; miR-187 showed a significant positive association with TNF-α at > 1000 g/day consumption. Therefore, increasing consumption of opium probably enhances inflammation leading to immunomodulation and aberrant expression of has-miR-155-5p and has-miR-187-5p in opiate abusers.
Effects of light qualities on growth, lipid contents and fatty acids profiles of Cylindrotheca closterium
Authors: Zhang Congying Zhang , Peng Ruibing , Wu Yi , Wu Zhihong , Zhang Zuhao , Jiang Xiamin , Xu Zhen 
Published: May 2021

Abstract
Background

Marine diatoms were considered as a promising alternative to microbial resources for the development of biofuels, food additives, medicines and chemical materials. Light of wavelength is a principal element that can easily be controlled in microalgal scale-culture and influence the growth, pigment composition, and lipids accumulation of algal cells. With the increasing implementation of light-emitting diodes (LEDs) in microalgal production systems (photobioreactors), a measure of light quality controlled by LED could be suitable to improve microalgal yields.
Results

In this study, Cylindrotheca Closterium, a widely used diatom, influenced by five light quality (white, red, blue, green and yellow light) was tested for its effects of growth rates, chlorophylls contents, total lipids contents and fatty acids compositions. The growth and chlorophyll experiments also showed that the green and yellow light significantly improve the growth rates and chlorophylls contents than other groups (P < 0.05). The group white light showed the greatest increases in total lipid contents of C. closterium (P < 0.05). The group blue light had the highest polyunsaturated fatty acids (PUFAs) proportion (P < 0.05), while the group white showed the lowest PUFAs and the highest saturated fatty acids (SFAs) and monounsaturated fatty acids (MUFAs) proportions (P < 0.05). The proportions of SFAs and MUFAs were negatively correlated with growth, chlorophylls, and lipids. And the proportion of PUFAs and n-3 PUFA was positively correlated with growth chlorophylls, and lipids. Principal component analysis showed that the fatty acid composition differed among light quality groups.
Conclusion

In summary, green light and yellow light were conductive to boosting the growth and chlorophylls accumulation of C. closterium. White light increased total lipid yields, while blue light was superior in increasing the production of unsaturated fatty acids, especially on the timnodonic acid (EPA). The application of two-step methods to increase the production of biomass and fatty acids is an effective measure for the cultivation of C. closterium; green light is used to increase the growth, followed by white light cultivation to improve total lipids or blue light to enhance the proportion of PUFAs of C. closterium.
Does m-health based exercise (guidance plus education) improve efficacy in patients with chronic low-back pain？A preliminary report on the intervention’s significance
Authors: Zheng Fuming , Liu Shufeng , Zhang Shanshan , yu Qiuhua , Lo Wai Leung Ambrose , Li Tingni , Wang Chuhuai 
Published: May 2021

Abstract
Objectives: The utilization of mobile health (m-health) has rapidly expanded during the COVID-19 pandemic, and there is still a lack of relevant clinical data pertaining to chronic low-back pain（CLBP）management. This study was designed to compare the effectiveness of m-health based exercise (via guidance plus education) versus exercise (via guidance) during CLBP management.Methods: Participants (n = 40) were randomly assigned to intervention and control groups. The intervention group received m-health based exercise (via guidance plus education), whereas the control group received m-health based exercise (via guidance). The exercise prescription video and educational content were sent to participants by the application (app), Ding Talk. Repeated-measures analysis of variance was used to test the baseline’s intervention effects, 6-week follow-up, and 18-week follow-up. We selected function（Roland and Morris Disability Questionnaire）and pain intensity (current, mean, and most severe Numeric Rating Scale in the last 2 weeks）as the primary outcomes, changes of negative emotion (depression, anxious), and quality of life as the secondary outcomes.Results: Time’s significant effect was found in pain, function, and health-related quality of life in both groups, but time did not show significant interaction effects. Participants were able to use m-based education with their anxiety and depression after treatment, but the relief only lasted until Week 6. No differences were found on the aspect of mental health-related quality of life.Conclusion: M-health based exercise (via guidance) is a convenient and effective method to treat CLBP. Additionally, plus education is more helpful in relieving short-term negative emotions and improving treatment adherence than guidance only. However, at the last follow-up（18-week）, no significant differences were found between the intervention and control groups.
Myocardial Infarction Iincidence at the Northwest of Iran 2014–2018: A Spatial Analysis
Authors: Soleimani Mohsen , Bagheri Nasser 
Published: May 2021

Abstract
BackgroundMyocardial Infarction (MI) is a major important public health concern and has huge burden on health system across the world. This study aimed to explore the spatial variation of MI incidence and investigate if there is a spatial clusters in the MI patterns among rural areas in Zanjan province, Iran.Materials & MethodsThis was a retrospective and geospatial analysis study using MI incidence data from 2014-2018 from nine hospital information system databases. Three different spatial analysis methods (Spatial autocorrelation, hotspot analysis and cluster and outlier analysis) were used to identify potential clusters and high-risk areas of MI incidence at the study area.Results3,820 patients were registered at Zanjan hospitals due to MI during 2014-2018. The age-adjusted incidence rate of MI was 343 cases per 100,000 person which raised from 88 cases in 2014 to 114 cases in 2018 per 100,000 person (a 30% increase, P<0.001). Golabar region had the highest incidence rate of MI (515 cases per 100,000 person). Five hotspot and one high-high cluster were detected using spatial analysis methods.Conclusion﻿This showed that there is a great deal of spatial variations in the pattern of MI incidence in Zanjan province. The high incidence rate of MI in the study area compared to the national average, is a warning to local health authorities to determine the possible causes of disease incidence and potential drivers of high-risk areas. The spatial cluster analysis provided new evidence for policy-makers to design tailored interventions to reduce MI incidence and allocate health resource to unmet need areas.
Translational Medicine: What Orthopaedic Perspectives and Challenges Does the Mapping Technology?
Authors: Shi Guang , Liu Wei , Su Xiuyun , Cai Xiyu 
Published: May 2021

Abstract
Background Translational medicine (TM) is a bridge between basic science and clinical medicine by translating new knowledge, mechanisms and technologies generated by basic science research into new ways of preventing, diagnosing and treating disease. The purpose of this study is to systematically review the literature concerning the two-dimensional and three-dimensional mapping technology (MT) for fractures in orthopedics, to clarify what perspectives MT offers and the current challenges in TM. Methods A systematic review was conducted according to PRISMA guidelines. We systematically searched the PubMed, Scopus, IEEE Digital Library, Web of Science database and references of relevant studies, from the establishment of the database through December 2020, for any and all data regarding the application of fracture MT in orthopedics, (including upper limbs, lower limbs, spine, and pelvis). We then made a systematic summary of these research results. Results A total of 2777 articles were retrieved, and 28 articles met the inclusion criteria: 26 were retrospective studies of using fracture MT and 2 were prospective studies using of fracture MT. The application of fracture MT in orthopaedics was as follows: upper limbs (n=10, 35.71%), lower limbs (n=17, 60.71%), thoracolumbar spine (n=1, 3.58%). Article subjects included: how fracture mapping guided preoperative planning (n = 12, 42.86%); illustration of how the characteristics of fracture line distribution helped surgeons identify specific types of fractures (n=9, 32.14%); and how fracture MT illustrated fracture morphology and guided clinical treatment (n=7, 25.00%). Conclusion Today, we need a new generation of researchers: 'translational scientists' who are able to transfer ideas from basic research to clinical science. MT is a better technology to describe the morphological classifications of fractures compared to traditional methods, but its clinical application is still limited. Thus, much further research is needed to determine the potential advantages of this new technique in clinical application or practice. If possible, guidelines are needed to facilitate the development of MT with regard to the additional costs and time constraints required for the developing this technic.
Diagnostic Accuracy of First and Early Second Trimester Multiple Biomarkers for Prediction of Gestational Diabetes Mellitus: A Multivariate Longitudinal Approach
Authors: Eidgahi Elham Shaarbaf , Nasiri Malihe , Kariman Nourossadat , Ardebili Nastaran Safavi , Salehi Masoud , Kazemi Maryam , Zayeri Farid 
Published: May 2021

Abstract
Background

Gestational Diabetes Mellitus (GDM) is an underlying cause of maternal and newborn morbidity and mortality all around the world. Timely diagnosis of GDM plays an important role in reducing its adverse consequences and burden. This study aimed to determine diagnostic accuracy of multiple indicators in complete blood count (CBC) test for early prediction of GDM.
Methods

In this prospective cohort study, the data from 600 pregnant women was analyzed. In the study sample, the two-step approach was utilized for the diagnosis of GDM at 24–28 weeks of gestation. We also used the repeated measures of hemoglobin (Hb), hematocrit (Hct), fasting blood sugar (FBS) and red blood cell count (RBC) in the first and early second trimesters of pregnancy as the longitudinal multiple indicators for early diagnosis of GDM. The classification of pregnant women to GDM and non-GDM groups was performed using a statistical technique based on the random-effects modeling framework.
Results

Among the sample, 49 women (8.2%) were diagnosed with GDM. In the first and early second trimester of pregnancy, the mean HcT, Hb and FBS of women with GDM was significantly higher than non-GDMs (P < 0.001). The concurrent use of multiple longitudinal data from HcT, Hb, RBC and FBS in the first and early second trimester of pregnancy resulted in a sensitivity, specificity and area under the curve (AUC) of 87%, 70% and 83%, respectively, for early prediction of GDM.
Conclusions

In general, our findings showed that the concurrent use of repeated measures data on Hct, Hb, FBS and RBC in the first and early second trimester of pregnancy might be utilized as an acceptable tool to predict GDM in the earlier stages.
Yet another lockdown? A large-scale study on people's unwillingness to be confined during the first 5 months of the COVID-19 pandemic in Spain
Authors: Martinez-Garcia Marina , Rabasa Alejandro , Barber Xavier , Polotskaya Kristina , Roomp Kristof , Oliver Nuria 
Published: May 2021

Abstract
Population confinements have been one of the most widely adopted non-pharmaceutical interventions (NPIs) implemented by governments across the globe to help contain the spread of the SARS-CoV-2 virus. While confinement measures have been proven to be effective to reduce the number of infections, they entail significant economic and social costs. Thus, different policy makers and social groups have exhibited varying levels of acceptance of this type of measures. In this context, understanding the factors that determine the willingness of individuals to be confined during a pandemic is of paramount importance, particularly, to policy and decision-makers. In this paper, we study the factors that influence the unwillingness to be confined during the COVID-19 pandemic by means of a large-scale, online population survey deployed in Spain. We apply both quantitative (logistic regression) and qualitative (automatic pattern discovery) methods and consider socio-demographic, economic and psychological factors, together with the 14-day cumulative incidence per 100,000 inhabitants. Our analysis of 109,515 answers to the survey covers data spanning over a 5-month time period to shed light on the impact of the passage of time. We find evidence of pandemic fatigue as the percentage of those who report an unwillingness to be in confinement increases over time; we identify significant gender differences, with women being generally less likely than men to be able to sustain long-term confinement of at least 6 months; we uncover that the psychological impact was the most important factor to determine the willingness to be in confinement at the beginning of the pandemic, to be replaced by the economic impact as the most important variable towards the end of our period of study. Our results highlight the need to design gender and age specific public policies, to implement psychological and economic support programs and to address the evident pandemic fatigue as the success of potential future confinements will depend on the population's willingness to comply with them.
Population Pharmacokinetics and Dose Optimization of Piperacillin/tazobactam in Critically Ill Patients During Extracorporeal Membrane Oxygenation (ECMO) and Weaned from ECMO
Authors: Hahn Jongsung , Min Kyoung Lok , Kang Soyoung , Yang Seungwon , Jin Byung Hak , Kim Dasohm , Park Min Soo , Wi Jin , Chang Min Jung 
Published: May 2021

Abstract
Background: Piperacillin/tazobactam is commonly used for empirical or directed treatment of infections during extracorporeal membrane oxygenation therapy (ECMO). Critical illness and extracorporeal circulation, such as ECMO and continuous renal replacement therapy may alter the pharmacokinetic parameters. We aimed to develop a population pharmacokinetic model of piperacillin/tazobactam in ECMO patients and investigate the optimal dosage regimen to achieve a pharmacodynamics target.Methods: This was a prospective observational study of 26 ECMO patients who received piperacillin/tazobactam. A population PK model was developed using non-linear mixed-effects models and simulations were performed to evaluate patient variables, MIC levels, and dosage regimens in relation to the probability of target attainment (PTA). The acceptable piperacillin PTA was set at ≥90% for 50%ƒT >16 mg/L.Results: A total of 244 samples were collected (163 during ECMO and 81 weaned from ECMO). Thirteen patients (50%) underwent continuous venovenous hemodiafiltration (CVVHDF). In a 2-compartment model, clearance increased by 10.1% when patients weaned from ECMO. Because patients on CVVHDF had a significant residual renal function, CVVHDF was found non-relevant to clearance. Instead, volume overload which was main cause of CVVHDF and membrane adsorption might contribute to the increased volume of distribution. Creatinine clearance (CrCL) calculated by Cockcroft-Gault equation had a significant impact on clearance. Simulation demonstrated that extended infusion should be considered in ECMO patients with CrCL >60 mL/min. Our proposed regimen was extended infusion of 2/0.25 g q8h, 2/0.25 g 6h, 3/0.375 g q 6h, and 4/0.5g q6h for CrCL ≤40, 40–60, 60–130, and >130 mL/min, respectively. Furthermore, even a higher dose would be required when patients did not receive CVVHDF after weaning from ECMO, which was 4/0.5g q6h for CrCL >110 mL/minConclusions: Piperacillin/tazobactam PK changes observed in ECMO patients were associated with critical illness rather than ECMO itself. A recent guideline dose may result in underexposure against P.aeruginosa when ECMO patients have CrCL > 110 mL/min; therefore, close monitoring of renal clearance is crucial in ECMO patients who received piperacillin/tazobactam regardless of CVVHDF use to provide effective treatment of infections and promote recovery. Overall, this study provides preliminary insights into the incremental effects of critical illness, ECMO and CVVHDF on piperacillin/tazobactam PK.Trial Registration: Clinicaltrials.gov NCT02581280, December 1st, 2014.
Review and screening of key genes in esophageal squamous cell carcinoma
Authors: Sun Xizi 
Published: May 2021

Abstract
Esophageal squamous cell carcinoma (ESCC) is the most common type of human esophageal cancer with high mortality due to late stage diagnosis. Efforts have been made to figure out the genetic events underlying its carcinogenesis and progression, but the molecular mechanisms of these processes remain elusive. To identify the candidate genes involved in ESCC, literature about significantly mutated genes (SMGs) was extensively reviewed and gene expression profiles of GSE161533, GSE20347 and GSE77861 were downloaded from the Gene Expression Omnibus (GEO) database. Following the identification of 230 differentially expressed genes (DEGs), hub gene identification was performed by the plug-in MCODE in Cytoscape software. 14 hub genes were identified which were enriched in cell cycle, DNA replication and p53 signaling pathway. In summary, genes mentioned in this study may provide potential targets for treatment and diagnosis of ESCC and help us better understand the pathogenesis and progression of ESCC from genetic perspective.