bluuebunny/crossref_metadata_2025_split huggingface dataset:
Family planning for urban slums in low- and middle-income countries: a scoping review of interventions/service delivery models and their impact
Authors: Ganle John Kuumuori , Baatiema Leonard , Ayamah Paul , Ofori Charlotte Abra Esime , Ameyaw Edward Kwabena , Seidu Abdul-Aziz , Ankomah Augustine 
Published: August 2021

Abstract
Background
Although evidence suggest that many slum dwellers in low- and middle-income countries have the most difficulty accessing family planning (FP) services, there are limited workable interventions/models for reaching slum communities with FP services. This review aimed to identify existing interventions and service delivery models for providing FP services in slums, and as well examine potential impact of such interventions and service delivery models in low- and middle-income settings.

Methods
We searched and retrieved relevant published studies on the topic from 2000 to 2020 from e-journals, health sources and six electronic databases (MEDLINE, Global Health, EMBASE, CINAHL, PsycINFO and Web of Science). Grey and relevant unpublished literature (e.g., technical reports) were also included. For inclusion, studies should have been published in a low- and middle-income country between 2000 and 2020. All study designs were included. Review articles, protocols or opinion pieces were excluded. Search results were screened for eligible articles and reports using a pre-defined criterion. Descriptive statistics and narrative syntheses were produced to summarize and report findings.

Results
The search of the e-journals, health sources and six electronic databases including grey literature and other unpublished materials produced 1,260 results. Following screening for title relevance, abstract and full text, nine eligible studies/reports remained. Six different types of FP service delivery models were identified: voucher schemes; married adolescent girls’ club interventions; Willows home-based counselling and referral programme; static clinic and satellite clinics; franchised family planning clinics; and urban reproductive health initiatives. The urban reproductive health initiatives were the most dominant FP service delivery model targeting urban slums. As regards the impact of the service delivery models identified, the review showed that the identified interventions led to improved targeting of poor urban populations, improved efficiency in delivery of family planning service, high uptake or utilization of services, and improved quality of family planning services.

Conclusions
This review provides important insights into existing family planning service delivery models and their potential impact in improving access to FP services in poor urban slums. Further studies exploring the quality of care and associated sexual and reproductive health outcomes as a result of the uptake of these service delivery models are essential. Given that the studies were reported from only 9 countries, further studies are needed to advance knowledge on this topic in other low-middle income countries where slum populations continue to rise.
Toolkit for detecting misused epidemiological methods
Authors: Soskolne Colin L. , Kramer Shira , Ramos-Bonilla Juan Pablo , Mandrioli Daniele , Sass Jennifer , Gochfeld Michael , Cranor Carl F. , Advani Shailesh , Bero Lisa A. 
Published: August 2021

Abstract
Background
Critical knowledge of what we know about health and disease, risk factors, causation, prevention, and treatment, derives from epidemiology. Unfortunately, its methods and language can be misused and improperly applied. A repertoire of methods, techniques, arguments, and tactics are used by some people to manipulate science, usually in the service of powerful interests, and particularly those with a financial stake related to toxic agents. Such interests work to foment uncertainty, cast doubt, and mislead decision makers by seeding confusion about cause-and-effect relating to population health. We have compiled a toolkit of the methods used by those whose interests are not aligned with the public health sciences. Professional epidemiologists, as well as those who rely on their work, will thereby be more readily equipped to detect bias and flaws resulting from financial conflict-of-interest, improper study design, data collection, analysis, or interpretation, bringing greater clarity—not only to the advancement of knowledge, but, more immediately, to policy debates.

Methods
The summary of techniques used to manipulate epidemiological findings, compiled as part of the 2020 Position Statement of the International Network for Epidemiology in Policy (INEP) entitled Conflict-of-Interest and Disclosure in Epidemiology, has been expanded and further elucidated in this commentary.

Results
Some level of uncertainty is inherent in science. However, corrupted and incomplete literature contributes to confuse, foment further uncertainty, and cast doubt about the evidence under consideration. Confusion delays scientific advancement and leads to the inability of policymakers to make changes that, if enacted, would—supported by the body of valid evidence—protect, maintain, and improve public health. An accessible toolkit is provided that brings attention to the misuse of the methods of epidemiology. Its usefulness is as a compendium of what those trained in epidemiology, as well as those reviewing epidemiological studies, should identify methodologically when assessing the transparency and validity of any epidemiological inquiry, evaluation, or argument. The problems resulting from financial conflicting interests and the misuse of scientific methods, in conjunction with the strategies that can be used to safeguard public health against them, apply not only to epidemiologists, but also to other public health professionals.

Conclusions
This novel toolkit is for use in protecting the public. It is provided to assist public health professionals as gatekeepers of their respective specialty and subspecialty disciplines whose mission includes protecting, maintaining, and improving the public’s health. It is intended to serve our roles as educators, reviewers, and researchers.
USP10 alleviates sepsis-induced acute kidney injury by regulating Sirt6-mediated Nrf2/ARE signaling pathway
Authors: Gao Fei , Qian Mingjiang , Liu Guoyue , Ao Wanping , Dai Dahua , Yin Cunzhi 
Published: August 2021

AbstractBackgroundSevere sepsis, a major health problem worldwide, has become one of the leading causes of death in ICU patients. Further study on the pathogenesis and treatment of acute kidney injury (AKI) is of great significance to reduce high mortality rate of sepsis. In this study, the mechanism by which ubiquitin specific peptidase 10 (USP10) reduces sepsis-induced AKI was investigated. Ligation and perforation of cecum (CLP) was employed to establish C57BL/6 mouse models of sepsis. Hematoxylin-eosin (H&E) staining was performed to detect renal injury. The concentrations of serum creatinine (Cr), urea nitrogen (BUN) and cystatin C (Cys C) were determined using a QuantiChrom™ Urea Assay kit. RT-qPCR and western blot were conducted to assess the USP10 expression level. DHE staining was used to detect reactive oxygen species (ROS) levels. H2O2, MDA and SOD levels were assessed using corresponding colorimetric kits. Western blot was used to examine the expression levels of Bcl-2, Bax, cleaved caspase-3, Sirt6, Nrf2 and HO-1. MTT assay was used to determine cell viability, whereas TUNEL staining and flow cytometry were used to assess cell apoptosis.ResultsIn this study, we found that USP10 was decreased in CLP-induced mouse renal tissues. We identified that USP10 alleviated renal dysfunction induced by CLP. Moreover, USP10 was found to reduce oxidative stress, and abated LPS-induced renal tubular epithelial cell injury and apoptosis. Finally, we discovered that USP10 promoted activation of the NRF2/HO-1 pathway through SIRT6 and attenuated LPS-induced renal tubular epithelial cell injury.ConclusionsThis study found that USP10 activates the NRF2/ARE signaling through SIRT6. USP10 alleviates sepsis-induced renal dysfunction and reduces renal tubular epithelial cell apoptosis and oxidative stress.
Imaging asparaginyl endopeptidase (AEP) in the live brain as a biomarker for Alzheimer’s disease
Authors: Wang Shan-Shan , Liu Zi-Kai , Liu Jing-Jing , Cheng Qing , Wang Yan-Xia , Liu Yan , Ni Wen-Wen , Chen Hong-Zhuan , Song Mingke 
Published: August 2021

AbstractBackgroundDiscovery of early-stage biomarkers is a long-sought goal of Alzheimer’s disease (AD) diagnosis. Age is the greatest risk factor for most AD and accumulating evidence suggests that age-dependent elevation of asparaginyl endopeptidase (AEP) in the brain may represent a new biological marker for predicting AD. However, this speculation remains to be explored with an appropriate assay method because mammalian AEP exists in many organs and the level of AEP in body fluid isn’t proportional to its concentration in brain parenchyma. To this end, we here modified gold nanoparticle (AuNPs) into an AEP-responsive imaging probe and choose transgenic APPswe/PS1dE9 (APP/PS1) mice as an animal model of AD. Our aim is to determine whether imaging of brain AEP can be used to predict AD pathology.ResultsThis AEP-responsive imaging probe AuNPs-Cy5.5-A&C consisted of two particles, AuNPs-Cy5.5-AK and AuNPs-Cy5.5-CABT, which were respectively modified with Ala–Ala–Asn–Cys–Lys (AK) and 2-cyano-6-aminobenzothiazole (CABT). We showed that AuNPs-Cy5.5-A&C could be selectively activated by AEP to aggregate and emit strong fluorescence. Moreover, AuNPs-Cy5.5-A&C displayed a general applicability in various cell lines and its florescence intensity correlated well with AEP activity in these cells. In the brain of APP/PS1 transgenic mice , AEP activity was increased at an early disease stage of AD that precedes formation of senile plaques and cognitive impairment. Pharmacological inhibition of AEP with δ-secretase inhibitor 11 (10 mg kg−1, p.o.) reduced production of β-amyloid (Aβ) and ameliorated memory loss. Therefore, elevation of AEP is an early sign of AD onset. Finally, we showed that live animal imaging with this AEP-responsive probe could monitor the up-regulated AEP in the brain of APP/PS1 mice.ConclusionsThe current work provided a proof of concept that assessment of brain AEP activity by in vivo imaging assay is a potential biomarker for early diagnosis of AD.Graphical abstract
Quality of life and fear of COVID-19 in 2600 baccalaureate nursing students at five universities: a cross-sectional study
Authors: Beisland E. G. , Gjeilo K. H. , Andersen J. R. , Bratås O. , Bø B. , Haraldstad K. , Hjelmeland I. H. H. , Iversen M. M. , Løyland B. , Norekvål T. M. , Riiser K. , Rohde G. , Urstad K. H. , Utne I. , Flølo T. N. ,   the LIVSFORSK network
Published: August 2021

Abstract
Background
The COVID-19 pandemic has caused significant disruptions in the implementation of programs across educational institutions. Nursing students, being both young adults and by practical training, part of the health care system, may be particularly vulnerable during the COVID-19 pandemic. The purpose of this study was to explore the associations between self-reported fear of COVID-19, general health, psychological distress and overall quality of life (QoL) in a sample of Norwegian baccalaureate nursing students compared to reference data.

Methods
The survey targeted baccalaureate nursing students from five universities in February 2021. An electronic questionnaire consisted of the Fear of COVID-19 Scale (FCV-19S), the Hopkins Symptom Checklist 5 (SCL-5), one general health and one overall QoL question. The respondents’ mean scores were compared to reference data. Hierarchical regression analyses were conducted, and effect sizes (Cohen’s d) were evaluated.

Results
In total, 2605 out of 6088 (43%) students responded. Their FCV-19S scores (mean 2.45, CI 2.42, 2.48) were significantly higher than those of the reference population (mean 1.8, P < 0.001). Nursing students scores showed significantly lower general health (mean 3.50 ± 0.93 SD, population mean = 3.57, Cohen’s d = 0.07), higher levels of psychological distress (mean 2.68 ± 1.03 SD, population mean = 2.12, Cohen’s d = 0.55) and lower overall QoL (mean 5.50 ± 2.16 SD, population mean = 8.00, Cohen’s d = 1.16) compared to pre-pandemic reference data. FCV-19S scores were significantly associated with levels of general health (Cohen’s d = 0.26), psychological distress (Cohen’s d = 0.76) and overall QoL (Cohen’s d = 0.18).

Conclusions
Baccalaureate nursing students reported worse outcomes during the Covid-19 pandemic on general health, psychological distress and overall QoL compared to the reference population. Level of fear of Covid-19, however, accounted for few of these differences. Other factors related to the pandemic may have reduced nursing students’ overall QoL.
Use of proteomics to identify mechanisms of hepatocellular carcinoma with the CYP2D6*10 polymorphism and identification of ANGPTL6 as a new diagnostic and prognostic biomarker
Authors: Hu Guiming , Gao Fei , Wang Guanzhe , Fang Yan , Guo Yuanyuan , Zhou Jun , Gu Yuhan , Zhang Cunzhen , Gao Na , Wen Qiang , Qiao Hailing 
Published: August 2021

Abstract
Background
Although an association between the cytochrome P4502D6 (CYP2D6) *10 (100C>T) polymorphism and hepatocellular carcinoma (HCC) is known, the mechanism remains unclear. Here we aimed to explore mechanisms of CYP2D6*10 (100C>T) polymorphism conferring to HCC, and screen markers for HCC.

Methods
Label-free global proteome profiling with 34 normal livers and peritumor tissue from 61 HCC patients was performed, and angiopoietin-like protein-6 (ANGPTL6) was evaluated in 2 liver samples validation cohorts and 2 blood specimens validation cohorts.

Results
We found a significantly decreased frequency of TT in HCC patients which reduced HCC susceptibility by 69.2% and was accompanied by lowered enzymatic activity for CYP2D6. Proteomic analysis revealed 1342 differentially expressed proteins (DEPs) that were associated with HCC and 88 DEPs were identified as 100 TT-related proteins, likely underlying the susceptibility to HCC. Twenty-two upregulated DEPs and 66 downregulated DEPs were mainly related to lipid metabolism and the extracellular matrix, respectively. High ANGPTL6 was associated with a higher risk to HCC and worse prognosis. ANGPTL6 was both an independent risk factor and an independent prognostic factor for HCC and exhibited strong potential for predicting HCC occurrence, with comparable AUC values and higher sensitivity compared with alpha-fetoprotein.

Conclusions
The TT genotype-associated decreased risk of HCC appears to be related to lowered CYP2D6 activity and altered protein expression in the tumor microenvironment, and ANGPTL6 is a promising new diagnostic and prognostic biomarker for HCC. Our findings reveal new mechanistic insights for polymorphisms related to HCC risk and provide avenues for screening for HCC.
Antiviral activity of diallyl trisulfide against H9N2 avian influenza virus infection in vitro and in vivo
Authors: Ming Le , Li Zhihui , Li Xiaofang , Tang Ling , He Guimei 
Published: August 2021

Abstract
Background
Diallyl trisulfide (DATS) is a garlic-derived organosulfur compound. As it has been shown to have anti-viral activity, we hypothesized that it may alleviate infections caused by H9N2 avian influenza virus (AIV), which is prevalent in poultry with pandemic potential.

Methods
Human lung A549 epithelial cells were treated with three different concentrations of DATS 24 h before (pre-treatment) or one hour after (post-treatment) H9N2 AIV infection. Culture supernatants were collected 24 h and 48 h post-infection and analyzed for viral titers and levels of inflammatory and anti-viral immune responses. For in vivo experiments, BABL/c mice were administered daily by intraperitoneal injection with DATS (30 mg/kg) for 2 weeks starting 1 day after H9N2 AIV infection. Clinical signs, lung pathology, and inflammatory and anti-viral immune responses were assessed 2, 4, and 6 days after infection.

Results
Both pre-treatment and post-treatment of A549 cells with DATS resulted in reduced viral loads, increased expression of anti-viral genes (RIG-I, IRF-3, and interferon-β), and decreased expression of inflammatory cytokines (TNF-α and IL-6). These effects were also observed in H9N2 AIV-infected mice treated with DATS. Such treatment also reduced lung edema and inflammation in mice.

Conclusions
Results suggest that DATS has anti-viral activity against H9N2 AIV and may be used as an alternative treatment for influenza virus infection.
VariantStore: an index for large-scale genomic variant search
Authors: Pandey Prashant , Gao Yinjie , Kingsford Carl 
Published: August 2021

AbstractEfficiently scaling genomic variant search indexes to thousands of samples is computationally challenging due to the presence of multiple coordinate systems to avoid reference biases. We present VariantStore, a system that indexes genomic variants from multiple samples using a variation graph and enables variant queries across any sample-specific coordinate system. We show the scalability of VariantStore by indexing genomic variants from the TCGA project in 4 h and the 1000 Genomes project in 3 h. Querying for variants in a gene takes between 0.002 and 3 seconds using memory only 10% of the size of the full representation.
Efficacy of active and passive evidence-based practice training for postgraduate medical residents: a non-randomized controlled trial
Authors: Goodarzi Hassan , Teymourzadeh Ehsan , Rahimi Siyavash , Nasiri Taha 
Published: August 2021

Abstract
Objective
This study examined the effects of two evidence-based practice (EBP) educational programs for postgraduate medical residents on their attitude, behavior, knowledge, outcome, and competencies in EBP.

Results
Forty-five and thirty-five medical residents were recruited in the active and passive educational intervention groups, respectively. Among those, 39 and 30 participants were included in the final analysis. The participants of the active group received 12 h of EBP-structured presentation. The passive educational group received EBP education through their daily rounds, evidence-based journal clubs, and morning reports. Participants were evaluated with EBP-KABQ and ACE tools questionnaires. The active and passive intervention groups were not significantly different from each other at the baseline in the EBP-KABQ questionnaire and ACE tools score (p > 0.05). However, most questions in the EBP-KABQ questionnaire were significantly different from the pre-intervention measurement and the passive intervention group after the educational intervention. Educational intervention in both groups led to a significant difference in ACE tools score between groups (8.86 ± 2.62 vs. 7.31 ± 2.92, p = 0.029, in the active and passive groups, respectively). Paired t-test analysis revealed that our intervention led to a significant increase in ACE tool scores in both groups (p < 0.000, in both groups).
TFCrowd: a blockchain-based crowdsourcing framework with enhanced trustworthiness and fairness
Authors: Li Chunxiao , Qu Xidi , Guo Yu 
Published: August 2021

AbstractBlockchain technology has attracted considerable attention due to the boom of cryptocurrencies and decentralized applications. Among them, the emerging blockchain-based crowdsourcing is a typical paradigm, which gets rid of centralized cloud-servers and leverages smart contracts to realize task recommendation and reward distribution. However, there are still two critical issues yet to be solved urgently. First, malicious evaluation from crowdsourcing requesters will result in honest workers not getting the rewards they deserve even if they have provided valuable solutions. Second, unfair evaluation and reward distribution can lead to low enthusiasm for work. Therefore, the above problems will seriously hinder the development of blockchain-based crowdsourcing platforms. In this paper, we propose a new blockchain-based crowdsourcing framework with enhanced trustworthiness and fairness, named TFCrowd. The core idea of TFCrowd is utilizing a smart contract of blockchain as a trusted authority to fairly evaluate contributions and allocate rewards. To this end, we devise a reputation-based evaluation mechanism to punish the requester who behaves as “false-reporting” and a Shapley value-based method to distribute rewards fairly. By using our proposed schemes, TFCrowd can prevent malicious requesters from making unfair comments and reward honest workers according to their contributions. Extensive simulations and the experiment results demonstrate that TFCrowd can protect the interests of workers and distribute rewards fairly.
A blockchain-assisted framework for secure and reliable data sharing in distributed systems
Authors: Guo Yu , Wang Shenling , Huang Jianhui 
Published: August 2021

AbstractThe explosive growth of big data is pushing forward the paradigm of cloud-based data store today. Among other, distributed storage systems are widely adopted due to their superior performance and continuous availability. However, due to the potentially wide attacking surfaces of the public cloud, outsourcing data store inevitably raises new concerns on user privacy exposure and unauthorized data access. Besides, directly introducing a centralized third-party authority for query authorization management does not work because it still can be compromised. In this paper, we propose a blockchain-assisted framework that can support trustworthy data sharing services. In particular, data owners allow to outsource their sensitive data to distributed systems in encrypted form. By leveraging smart contracts of blockchain, a data owner can distribute secret keys for authorized users without extra round interaction to generate the permitted search tokens. Meanwhile, such blockchain-assisted framework naturally solves the trust issues of query authorization. Besides, we devise a secure local index framework to support encrypted keyword search with forward privacy and mitigate blockchain overhead. To validate our design, we implement the prototype and deploy it at Amazon Cloud. Extensive experiments demonstrate the security, efficiency, and effectiveness of the blockchain-assisted design.
New general integral transform via Atangana–Baleanu derivatives
Authors: Meddahi M. , Jafari H. , Ncube M. N. 
Published: August 2021

AbstractThe current paper is about the investigation of a new integral transform introduced recently by Jafari. Specifically, we explore the applicability of this integral transform on Atangana–Baleanu derivative and the associated fractional integral. It is shown that by applying specific conditions on this integral transform, other integral transforms are deduced. We provide examples to reinforce the applicability of this new integral transform.