bluuebunny/crossref_metadata_2025_split huggingface dataset:
Healthcare resilience - A meta-narrative systematic review and synthesis
Authors: Tan Mark ZY , Prager Gabrielle , McClelland Andrew , Dark Paul 
Published: August 2022

Abstract
BackgroundResilience is a ubiquitous but often misunderstood term. It is often studied and described within the lens of individual academic disciplines, despite the complexities and interactions of today’s world. Using a meta-narrative approach, we performed a systematic literature review of healthcare resilience, tracking the research traditions which have informed this field. This paper consolidates knowledge about the definitions, measures, and concepts of healthcare resilience at meso- and macro-levels, to build an interdisciplinary, cross-sectoral, and multi-level (ICM) approach and framework. It forms part of a wider project on healthcare resilience, within a larger research group on societal resilience and guides efforts to build resilience after the COVID19 pandemic.MethodsForty-five reviews were analysed thematically, adhering to RAMESES and PRISMA guidelines. We explore issues inherent to fundamental terms and propose a unified definition spanning event timescales and applicable to multiple hierarchical levels. Studies tended to focus on individual hierarchical levels using a range of frameworks, which are frequently also used as measurement indices. Macro-level indices focusing on capacities failed to sufficiently capture the importance of relational aspects of systems resilience. Meso-level approaches and frameworks tended to swing between the extremes of disaster risk reduction strategies and patient safety approaches for normal stressors. Micro-level approaches were not a focus but tended to centre around acute psychological interventions.ResultsThe analysis allowed us to propose a unified definition and build an overall framework for healthcare resilience containing pre-, intra-, post-, and trans-event domains, which work across hierarchical levels. We also adopt a realist view by presenting a table of selected resilience frameworks, categorising them according to predominant hierarchical level and timescale. This aims to guide decision-makers about the suitability of various frameworks, at specific levels, through numerous points during crises. ConclusionThere is increasing acknowledgement of the need for inter-disciplinary, cross-sectoral, and multi-level approaches to healthcare resilience, but such work is hitherto rare. A realist approach to various resilience frameworks may help to determine best-fit for individual organisations and systems. There is a need to better understand how resilience practically works across various hierarchical levels.
Very high hyperbilirubinaemia in neonates to identify brain injury, neuron-specific enolase, calcium binding protein B, glial fibrillary acidic protein, Tau protein and growth differentiation factor 5 levels
Authors: Orhan Özhan , Ertuğrul Sabahattin , Yüksel Hatice 
Published: August 2022

Abstract
Objectives: A growing body of evidence suggests blood biomarker analysis may be a useful tool to aid in the elucidation of important pathophysiological mechanisms across a range of severities in newborn TBI. The aim of this research was to use blood biomarkers (NSE, s100B, GFAP, Tau and GDF-5) as a tool to advance knowledge of very high hyperbilirubinaemia in neonates to identify brain injury processes across the severity spectrum of TBI.Material and Methods: In this prospective study, newborns with bilirubin levels high enough to require exchange transfusion were evaluated for brain damage using GDF-5 level profiles in the laboratory of the Dicle University Faculty of Medicine between August 2016 and August 2017. On the follow-up form, demographic information as well as clinical and laboratory results for the newborns who made up the study's sample were recorded.Results: The study's results showed that among the serum proteins examined upon the arrival of patients in the experimental group, GFAP, NSE, and s100B were statistically significantly higher in the experimental group than in the control group. Despite the patient group's high GDF5 and MAPt values, they did not statistically significantly.Conclusion: In conclusion, our study revealed a rise in serum NSE and GFAP levels upon admission and on the third day in the extremely high hyperbilirubinemia newborn experimental group. In addition, neonates in the control group had significantly elevated s100B levels on the day of admission, but not on the third day. In addition, our data imply that NSE and GFAP may be a viable, possible biomarker for extremely high hyperbilirubinaemia in newborns that merits further investigation.
The Role of Electronic Medical Record Implementation for Supporting Hospital Performance: A Comparative Investigation of Selected Public and Private Hospitals in Ethiopia
Authors: Tarekegn Berhanemeskel , Ketema Girum , Bedaso Muktar 
Published: August 2022

Abstract
BackgroundHealth is not only significant for individuals, but also for governments because it plays a fundamental role in realizing supportable financial progress and development by way of fine as effective practice of capitals. This study aimed to assess the availability, productivity and extent of utilization; contributions for quality of health service; impact on the workflow; and challenges in the use of EMR system in public and private hospitals of Ethiopia.MethodologyThe study followed descriptive and exploratory research design and mixed research approach. The study area was clustered both in the regional/ rural (Jimma) area of the country and the capital city/ urban (Addis Ababa) area of the country, these were Jimma University Medical Center (public, rural) and Oda Hulle Primary hospital (private, domestic), St. Paul Specialized hospital (public, urban) and MCM Korea Hospital (private, foreign) to enhance the representativeness of the result. The sample respondents of the study, which were selected using non-probability purposive sampling technique, were 151 health professionals, ICT technicians and managers among which 147 samples were participated in the data collection session. The data were collected using questionnaire and semi-structured interview methods. The quantitative data were analyzed using SPSS v.25 software package and the qualitative data were analyzed by thematic analysis technique.ResultThe result of this study revealed that private hospital health professionals are satisfied with the facilities in their hospital's electronic medical record better than the public hospital health professionals. Therefore, private hospital health professionals are better than public health professionals in terms of the use of private electronic medical record resources. On the other hand, higher percentage of the health professional’s agreeing that electronic medical records resources utilization and availability of electronic medical records systems and adequate resources play an important role to achieve better performance in both private and public hospitals. The result of the study also revealed that the health professional’s’ performance of private hospitals is better than health professional’s’ performance of public hospitals because of electronic medical record system resource availability and effective utilization of resources available in their hospitals.ConclusionFinally, the study forwarded the recommendations to government that developing effective electronic medical record system to minimize the gap between public and private hospitals resources and to improve the health service performance of the health professionals with respect to integrated electronic medical record system.
Urban Sprawl Analysis and LULC change assessment in Bengaluru Rural, Karnataka, India
Authors: Ashwathappa Bharath , Maddikeari Manjunath , Das Bhumika , Vishweshwaraiah Reshma , Tangadagi Ranjitha B 
Published: August 2022

Abstract

Urban regions have grown and developed more quickly around the world. The amount of productive land is significantly reduced by the expansion of the urban perimeter. To ensure sustainable urban growth, research in urban sprawl analysis and land use land cover (LULC) change assessment is crucial. Bengaluru is one of the fastest growing metropolitan cities across the world, and its growth has a significant impact on neighbouring regions. Hence an attempt is made to evaluate the influence of urban sprawl on LULC in the Bengaluru rural district, which surrounds the Bengaluru urban region. In this study, temporal changes in LULC over two decades are assessed by employing remote sensed data and GIS tools. The study area is categorized into five LULC classes: settlement, waterbody, vegetation, agriculture, and barren land. Landsat images of two different timescales are classified using the supervised image classification technique in ERDAS software. The maximum likelihood technique is used for classifying the image, and the accuracy of the classified image is evaluated by accuracy assessment. The study revealed that urban sprawl significantly influenced the LULC classes study area.
Experimental Study on the Effect of Load and Air+gas/fuel Ratio on the Performances, Emissions and Combustion Characteristics of Diesel-LPG Fuelled Single Stationary CI Engine
Authors: yotchou Giovani Vidal Tchato , BANTA Nelson Junior ISSONDJ , KARANJA Samuel KABINI , ABBE Claude Valery NGAYIHI 
Published: August 2022

Abstract
Due to the issue of the combustion stability when using natural gas and the problem of knocking when using both natural gas and hydrogen, Liquefied Petroleum Gas (LPG) is then a good candidate to use for the dual fuel concept since it’s been proven to be a good solution to limit the pollutants and the excessive use of fossil resources. In this paper, the effect of load as well as the Air + Gas/fuel ratio on the performance, emission, and combustion characteristics of a dual fuel diesel-LPG engine, single-cylinder, four-stroke, direct injection diesel engine with a rated power of 3.5 kW at a speed of 1500 rpm has been carried out. Experiments have been performed in dual fuel mode for a range of load from 0 to 12 kg and a range of mass flow of LPG from 1 to 5.5 L/min, and the results were compared with those obtained from the single fuel mode. Results show that dual fuel mode gives better performances and fewer pollutants than single fuel mode and the highest performances, as well as the fewest pollutants in the dual fuel mode, were observed regardless of the load for the mass flow of LPG of 5.5 L/min. Brake thermal efficiency, indicated thermal efficiency, and mechanical efficiency increased by 32.97%, 60.4%, and 16.66% respectively when we move from the single fuel mode to the dual-fuel mode. The smoke, the carbon monoxide, and the NOx decreased by 62.4%, 3381 ppm, and 31.8 ppm respectively when we move from the single fuel mode to the dual-fuel mode. The net heat release rate and the cylinder pressure (the peak) were also evaluated and were higher at 5 L/min in the dual-fuel mode. And, no knocking came up during this research as compared to natural gas or hydrogen dual-fuel engines.
Human model of primary carnitine deficiency cardiomyopathy reveals ferroptosis as a novel disease mechanism
Authors: Loos Malte , Klampe Birgit , Schulze Thomas , Yin Xiaoke , Theofilatos Konstantinos , Ulmer Bärbel , Schulz Carl , Behrens Charlotta , Bergen Tessa Van , Adami Eleonora , Maatz Henrike , Schweizer Michaela , Brodesser Susanne , Skryabin Boris , Rozhdestvensky Timofey , Bodbin Sara , Christ Torsten , Denning Chris , Huebner Norbert , Mayr Manuel , Eschenhagen Thomas , Hansen Arne 
Published: August 2022

Abstract
Primary carnitine deficiency (PCD) is an autosomal recessive monogenic disorder caused by mutations in SLC22A5. This gene encodes for OCTN2 which transports the essential metabolite carnitine into the cell. PCD patients suffer from muscular weakness and dilated cardiomyopathy. Detailed molecular disease mechanisms remain unclear. Two OCTN2-defective human induced pluripotent stem cell lines were generated from a healthy control line, carrying a full OCTN2-knockout and a homozygous OCTN2 (N32S) loss of function mutation. OCTN2-defective genotypes showed lower cardiac differentiation efficiency, lower force development, and resting length in engineered heart tissue format compared to isogenic control. Force was sensitive to fatty acid-based media and associated with lipid accumulation, mitochondrial alteration, higher glucose uptake, and metabolic remodelling, replicating findings in animal models. Importantly, genome wide analysis and pharmacological inhibitor experiments identified ferroptosis, an iron- and lipid-dependent cell death pathway linked to fibroblast activation as a novel PCD cardiomyopathy disease mechanism.
Escherichia coli metabolites promote Enterococcus avium growth by accelerating aerobic metabolic processes
Authors: Liu Yuejiao , Hou Fengyi , Sun Yifan , Chang Yuxiao , Zhou Yazhou , Wang Likun , Tan Yafang , Zhi Fachao , Yang Ruifu , Pan Zhiyuan , Bi Yujing 
Published: August 2022

Abstract
Background & AimsCooperation between species in the same ecosystem is the core function of microbial communities. We found that in cocultures of Escherichia coli and Enterococcus avium isolated from the gut, the former promoted the growth of the latter. Hence, we investigated the mechanisms by which Escherichia coli promoted the growth of Enterococcus avium.MethodEnterococcus avium was cultured in growth medium supplemented with E. coli metabolites. The physical and chemical properties of the growth-promoting substances were determined by high-performance liquid chromatography. Transcriptomics and metabolomics analyses were performed to determine the possible mechanisms underlying the accelerated growth of Enterococcus avium.ResultsHigher concentrations of Escherichia coli metabolites accelerated the growth of Enterococcus avium in the logarithmic phase but not in the plateau phase. A group of small molecules with high polarity and thermal stability were found to promote the growth of Enterococcus avium. The Escherichia coli metabolites upregulated ribosome expression and oxidative phosphorylation and accelerated several aerobic metabolic processes in Enterococcus avium.ConclusionSome metabolites secreted by Escherichia coli may accelerate aerobic metabolism in Enterococcus avium, thereby increasing its growth rate. This study provides a meaningful insight for understanding the symbiosis between intestinal bacteria and its possible mechanisms.
Self-Managing Symptoms of Long COVID: an Education and Strategies Research Protocol
Authors: Green Robin , Rybkina Julia , Jacob Nithin , Colella Brenda , Gold David , Stewart Donna , Ruttan Lesley , Meusel Liesel-Ann , McAndrews Mary Pat , Abbey Susan 
Published: August 2022

Abstract
Post-acute sequelae of SARS-COV-2 (PASC) is growing in prevalence, and involves symptoms originating from the central neurological, cardiovascular, respiratory, gastrointestinal, autonomic nervous, or immune systems. There are non-specific symptoms such as fatigue, headaches, and brain fog, which cannot be ascribed to a single system/organ. PASC places a notable strain on our healthcare system, which is already laden with a large number of acute-COVID-19 patients. Furthermore, it impedes social, academic and vocational functioning, and impacts family life, relationships, and work/financial life. The treatment for PASC needs to target this non-specific etiology and wide-ranging sequelae. In conditions similar to PASC, such as “chemo brain”, and prolonged symptoms of concussion, the non-specific symptoms have shown to be effectively managed through education and strategies for self-management and Mindfulness interventions. However, such interventions have yet to be empirically evaluated in PASC to our knowledge. In response to this gap, we have developed a virtual education intervention synthesized by psychiatrists and clinical psychologists for the current study. We will undertake a two-phase randomized controlled trial to determine the feasibility (Phase 1; N = 90) and efficacy (Phase 2; sample sized based on phase 1 results) of the novel 8 week education and self-management strategies group compared to a mindfulness skills program, both delivered virtually. Main outcomes include confidence/ability to self-manage symptoms, quality of life, and healthcare utilization. This study stands to mitigate the deleterious intrusiveness of symptoms on everyday life in patients with PASC, and may also help to reduce the impact of PASC on the healthcare system.
Detection and Location of Microaneurysms in Fundus Images Based on Improved YOLOv4
Authors: Weiwei GAO , Bo FAN , FANG Yu , Mingtao SHAN , SONG Nan 
Published: August 2022

Abstract
Microaneurysms (MA) are the initial symptoms of diabetic retinopathy (DR). Eliminating these lesions can effectively prevent DR at an early stage. However, due to the complex retinal structure and the different brightness and contrast of fundus images due to different factors, such as patients, environment, and acquisition equipment, it is difficult for existing detection algorithms to achieve accurate detection and location of the lesion. Therefore, the detection algorithm of improved YOLOv4(YOLOv4-Pro) was proposed. An improved Fuzzy C-Means (IFCM) clustering algorithm was proposed to optimize the anchor parameters of the target samples to improve the matching degree between the anchors and the feature graphs. The SENet attention module was then embedded in the backbone network to enhance the key information of the image and suppress the background information of the image to improve the confidence of MA. The spatial pyramid pooling (SPP) module was added to the neck to enhance the acceptance domain of the output characteristics of the backbone network to help separate important context information, and the model was verified on the Kaggle DR dataset and compared with other methods. The experimental results showed that, compared with other YOLOv4 network models with various structures, the improved YOLOv4 network model could significantly improve the automatic detection result. Compared with other network models and methods, the automatic detection accuracy of the improved YOLOv4 network model was better and an accurate position could be realized. Therefore, the proposed method of improved YOLOv4 performs better and can accurately and effectively detect and locate microaneurysms in fundus images.
AlphaCluster: Coevolutionary driven residue-residue interaction models enable quantifiable clustering analysis of de novo variants to enhance predictions of pathogenicity
Authors: Shen Yufeng , Obiajulu Joseph , Kuang Ranger , Zhong Guoije , Hagen Jake , Shu Chang , Chung Wendy 
Published: August 2022

Abstract
Missense variants have highly variable effects and effect size, which often makes it challenging to distinguish pathogenic and non-pathogenic variants and subsequently implicate new genes for disease association in studies of de novo and inherited rare variants. Importantly, missense variants can be the sole molecular mechanism for some genetic disorders, and so statistical approaches tailored for the analysis of missense variants are critical. Analysis of the clustering of missense variants is a promising approach which leverages the fact that missense variants in protein domains often have similar effects on function. Here we describe a new clustering analysis approach, AlphaCluster, a statistical method which quantifiably analyzes the spatial clustering of de novo variants by mapping missense residues onto the protein tertiary structure. We show that our approach can quantify the evidence supporting pathogenic missense variants and increase the power to detect clustering when compared to available genomic clustering tools. Using AlphaCluster, we identified genes newly implicated in autism spectrum disorder and neurodevelopmental disorders (NDD). We also apply AlphaCluster to protein complexes and detect an association between the gamma aminobutyric acid receptor complex (GABA-A 𝛼1𝛽2𝛾2 receptor).
Gender estimation using discriminant analysis of hand dimensions among adult participant1s
Authors: Shukla Kamlesh Kumar , Rahman Syed Azizur 
Published: August 2022

Abstract
Background: The estimation of gender using hand dimensions is crucial role in forensic investigation and legal sciences. Objectives: In this study, mean score of hand measurements have been derived and linear discriminant analysis has been applied to predict gender from hand dimensions. Independent t-test has been employed to know discrimination between male and female. Accuracy of gender estimation has been derived and checked by ROC curve. Data & Methods: A sample of 150 participants has been collected for the completion of this study, where 78 males and 72 females were found aged between 18 and 24 years. The breadths and lengths of left and right hands of the participants have been measured. Results: Mean score of length and breadth of left hand of respondents were found 17.69±1.30 and 7.56±1.17 respectively. It was found significantly different in mean score of male and female of the respondents. Conclusions: Hand dimensions of male were found higher than female. Prediction of number of females and males were 76 and 74 respectively, and its accuracy was observed 0.87. This study as beginner research and further it can be applied for larger sample and would be helpful in prediction of gender discrimination among adults through hand dimensions.
High-throughput absolute quantification sequencing reveals that high organic fertiliser use increased bacterial abundance and metabolic function in reddish paddy soil
Authors: Cui Xinwei , Gao Peng , Lu Yaoxiong , Long Shiping , Peng Fuyuan 
Published: August 2022

Abstract
Rational application of organic and chemical fertilizers is beneficial to improve crop yield and quality. However, the effect of combining these fertilizers on bacterial community structure and metabolic functions remains unclear, especially in reddish paddy soil. In the present study, absolute quantification 16S rRNA amplicon sequencing technology (AQS) was used to study the responses of soil bacterial community composition and its absolute abundance to environmental factors under different application ratios of organic and chemical fertilisers for two consecutive years in reddish paddy soil. The results showed that replacing the chemical fertiliser with organic fertiliser significantly increased the total nitrogen (TN), total potassium, hydrolysed nitrogen, and soil organic carbon (SOC), and significantly decreased the soil bulk density. These effects were more prominent in the treatment with 60% of organic fertilizer (60M). More importantly, AQS revealed that different fertilization treatments non-significantly affected soil bacterial diversity (Shannon) and richness (Chao1) but significantly changed the composition and abundance of bacterial communities. SOC, TN, and available potassium were the key factors shaping bacterial community structure under different fertilization regimes. The bacterial absolute abundance in the 60M treatment was 25.30% and 56.58% higher than that in the NPK and 30M treatments, respectively. Functional prediction analysis with PICRUSt2 revealed that the 60M treatment increased the abundance of species involved in xenobiotic biodegradation and metabolism, amino acid metabolism, and lipid metabolism, and further improved metabolic functions to a certain degree.