bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dataset of Oyster Virome and the Remarkable Virus Diversity in Filter-Feeding Oysters
Authors: Jiang Jing-Zhe , Fang Yi-Fei , Wei Hong-Ying , Guo Ying-Xiang , Yang Li-Ling , Jin Tao , Shi Mang , Shi Shao-Kun , Wang Meng , Yao Tuo , Lu Jie , Ye Ling-Tong , Duan Ming , Zhang Dian-Chang 
Published: November 2021

Abstract
Background:Viruses are the most abundant biological entities, and they play critical roles in entire ecosystems. Nevertheless, current knowledge about them is no more than 1% of the estimated diversity of the Earth’s virosphere. Oysters are filter-feeding molluscan bivalves and are ideal sentinels for marine virus exploration and viral ecology studies. Results: Here we report a Dataset of Oyster Virome (DOV) that contains 728,784 nonredundant viral operational taxonomic unit (vOTU) contigs and 3,473 high-quality viral genomes, enabling the first comprehensive overview of viral communities in oysters. As in other marine viromes, families Siphoviridae, Podoviridae, and Myoviridae are dominant in the DOV. However, Circoviridae is the most abundant family among the high-quality genomes, indicating that oysters may be their potential hotspots. Despite performing target amplification for RNA genomes, the diversity of RNA viruses was much lower than the diversity of DNA viruses. Notably, most of the vOTUs in the DOV were previously undescribed viruses and could not be clustered with any sequences in three reference datasets. Three approaches (based on references, vOTUs, and auxiliary metabolic genes) consistently showed that host health status, location, and sampling date had potential impacts on virome structures. Conclusions: This study highlights the practicality of oysters for marine virus exploration and provides a new direction to understand the relationship between marine bivalves and the environment.
An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack
Authors: Patel Dipen , Msosa Yamiko Joseph , Wang Tao , Mustafa Omar G , Gee Siobhan , Williams Julie , Roberts Angus , Dobson Richard JB , Gaughran Fiona 
Published: November 2021

Abstract
Background: Improvements to the primary prevention of physical health illnesses like diabetes in the general population have not been mirrored to the same extent in people with serious mental illness (SMI). This work evaluates the technical feasibility of implementing an electronic clinical decision support system (eCDSS) for supporting the management of dysglycaemia and diabetes in patients with serious mental illness in a secondary mental healthcare setting. Methods: A stepwise approach was taken as an overarching and guiding framework for this work. Participatory methods were employed to design and deploy a monitoring and alerting eCDSS. The eCDSS was evaluated for its feasibility. The initial part of the feasibility evaluation was conducted in an outpatient community mental health team. Thereafter, the evaluation of the eCDSS progressed to a more in-depth in silico validation. Results: A digital health intervention that enables monitoring and alerting of at-risk patients based on an approved diabetes management guideline was developed. The eCDSS generated alerts according to expected standards and in line with clinical guideline recommendations. Conclusions: It is feasible to design and deploy a functional monitoring and alerting eCDSS in secondary mental healthcare. Further work is required in order to fully evaluate the integration of the eCDSS into routine clinical workflows. By describing and sharing the steps that were and will be taken from concept to clinical testing, useful insights could be provided to teams that are interested in building similar digital health interventions.
Return to work, activities of daily living and sports after spinal ependymoma resection: a monocenter experience with long-term follow-up
Authors: Butenschoen Vicki Marie , Gloßner Till , Hostettler Isabel C. , Meyer Bernhard , Wostrack Maria 
Published: November 2021

Abstract
Introduction: Adult spinal ependymoma presents a rare benign tumor entity. Due to its incidence peak in the fourth decade of life, it mostly affects patients during a professionally and physically active time of life.Methods: We performed a retrospective monocentric study, including all patients operated upon for spinal ependymoma between January 2009 and September 2020. We prospectively collected data on professional reintegration, physical activities and quality-of-life parameters using EQ-5D and SF-36. Issues encountered in returning to work and physical activities were assessed using existing spinal-cord-specific questionnaires and free-text questions.Results: In total, 65 of 114 patients operated on for spinal ependymomas agreed to participate. Most patients suffered from only mild pre- and postoperative impairment on the modified McCormick scale, but 67% confirmed difficulties performing physical activities in which they previously engaged due to pain, coordination problems and fear of injuries. We observed a shift from full- to part-time employment and patients unable to work, independently from tumor dignity and neurological function.Conclusion: Despite its benign nature and formal only mild neurological deficits occurring in patients suffering from spinal ependymoma, the studied population described severe difficulties returning to their preoperative physical activity and profession. Clinical scores such as the McCormick grade and muscle strength may not reflect the entire self-perceived impairment appropriately.
The relative effects of cognitive, emotional and physiological factors on human response to urban and park environments
Authors: Saadi Diana , Hijazi Basem , Tirosh Emanuel , Schnell Izhak 
Published: November 2021

Abstract
Studies on the effect of urban and green environments on human risk to health and well-being tend to focus on either physiological or cognitive and emotional effects. For each of these effects, several indicators have been proposed. They are determined either by a physiological-emotional theory or by a cognitive theory of direct attention. However, the interrelationships between these indices have not been thoroughly investigated. Recently, a neurovisceral model that incorporates all three aspects has been proposed. Furthermore, it appears that the autonomic system, as measured by Heart Rate Variability (HRV), influences emotional and cognitive performance. The present article focuses on the interrelations among nine commonly used indices that represent the physiological, emotional and cognitive aspects of environmental response to urban and green environments. Path analysis and principal component analysis are used in order to identify the interrelations among the physiological, cognitive and emotional indices and the directions of these interrelations. According to the findings, the autonomic nervous system (ANS), as measured by HRV and primarily the parasympathetic tone (High frequency -HF) is the pivotal mechanism that modulates emotions and cognition in response to environmental nuisances. The ANS response precedes and may trigger the emotional and cognitive responses, which are only partially interrelated. It appears that the autonomic balance measured by SDNN and HF, the cognitive index of restoration and the emotional indices of discomfort and relaxation are closely interrelated. These seemingly disparate operands work together to form a comprehensive underlying network that causes stress and risk to health in urban environments while restoring health in green environments. The relative effects of cognitive, emotional and physiological factors on human response to urban and park environments
FPM: A Collection of Large-scale Foundation Pre-trained Language Models
Authors: Shen Dezhou 
Published: November 2021

Abstract
Recent work in language modeling has shown that train-
ing large-scale Transformer models has promoted the lat-
est developments in natural language processing applica-
tions. However, there is very little work to unify the cur-
rent effective models. In this work, we use the current ef-
fective model structure to launch a model set through the
current most mainstream technology.
We think this will
become the basic model in the future.
For Chinese, us-
ing the GPT-2[9] model, a 10.3 billion parameter language
model was trained on the Chinese dataset, and, in particu-
lar, a 2.9 billion parameter language model based on dia-
logue data was trained; the BERT model was trained on the
Chinese dataset with 495 million parameters; the Trans-
former model has trained a language model with 5.6 bil-
lion parameters on the Chinese dataset. In English, cor-
responding training work has also been done. Using the
GPT-2 model, a language model with 6.4 billion param-
eters was trained on the English dataset; the BERT[3]
model trained a language model with 1.24 billion param-
eters on the English dataset, and in particular, it trained a
688 million parameter based on single card training tech-
nology Language model; Transformer model trained a lan-
guage model with 5.6 billion parameters on the English
dataset.
In the TNEWS classification task evaluated by
CLUE[13], the BERT-C model exceeded the 59.46% accu-
racy of ALBERT-xxlarge with an accuracy rate of 59.99%,
an increase of 0.53%. In the QQP classification task evalu-
ated by GLUE[11], the accuracy rate of 78.95% surpassed
the accuracy rate of BERT-Large of 72.1%, an increase of
6.85%. Compared with the current accuracy rate of ERNIE,
the first place in the GLUE evaluation of 75.2%, an increase
of 3.75%.
Rural-Urban Differences in Food Insecurity and Associated Cognitive Impairment Among Older Adults: Findings from a Nationally Representative Survey
Authors: Srivast Shobhit , Muhammad T 
Published: November 2021

Abstract
IntroductionDue to rapid urbanization, Covid-19 pandemic, and increasing food prices, a higher rate of food insecurity has been observed in recent years in India. Thus, we aim to study the prevalence of food insecurity among older Indian adults and the association of food insecurity as a modifiable risk factor with late-life cognitive impairment.MethodData for this study was utilized from the recent release of Longitudinal Ageing Study in India which was conducted 2017-18. The total sample size for the present study is 31,464 older adults aged 60 years and above. Descriptive statistics along with cross-tabulation were presented in the present study. Additionally, binary logistic regression analysis was used to fulfil the objective of the present study. ResultsIt was found that 7.7% of older adults in rural areas reduced their size of meals due to unavailability (urban, 3.2%), 41.2% of them did not eat enough food of their choice (urban, 38.3%), 6.9% were hungry but did not eat food (urban, 2.6%), 5.0% did not eat for whole day (urban, 2.2%), and 6.9% lost weight due to lack of food in their household (urban, 2.9%). It was found that older adults who did not have enough food of their choice had significantly higher odds of suffering from cognitive impairment in reference to their counterparts. Similarly, the older adults who were hungry but did not eat were 33% more likely to suffer from cognitive impairment in reference to their counterparts. Interaction model revealed that older adults who had food insecurity in rural areas had higher odds of cognitive impairment than older adults who had food insecurity in urban areas. ConclusionThe results of the study highlight that the food security status in older adults may bring about greater challenges due to their limited economic resources. Interventions focusing on food security may have unintended positive impacts on late-life mental wellbeing as the older age is associated with higher cognitive deficits.
Gravitational cells and gravitational strings as a necessary part of the gravitational field. Obtaining new physical formulas and indicators (the formula for the gravitational constant, the formula for the mass of the hydrogen atom, etc.)
Authors: Chernov Andrey 
Published: November 2021

Abstract
This study introduces scientific concepts such as gravitational cells and gravitational strings. Gravitational cells and gravitational strings have been organically built into the concept of a gravitational field. This innovation has led to significant scientific results. These results include obtaining the formula for the gravitational constant, the formula for the electron mass, the formula for the mass of the hydrogen atom, the formula for the minimum distance of the action of the gravitational field, etc. All formulas were confirmed by experimental data. In this work, the Planck formula was successfully applied to the gravitational field. A distinctive feature of this study is the fact that most of the new formulas contain only fundamental physical constants (without introducing additional indicators and proportionality coefficients). In this work, the concept of a gravitational quantum is introduced and its value is determined. Also, a new physical constant was obtained - the mass of the gravitational cell of a black hole.
How Do The Number of Missing Daily Diary Days Impact The Psychometric Properties And Study Results Arising From a Weekly Average Summary Score?
Authors: Griffiths Pip , Williams Abi , Brohan Elaine 
Published: November 2021

Abstract
PurposeQuality of life research often collects daily information and averages this over a week, producing a summary score. When data are missing, arbitrary rules (such as requiring at least 4/7 observations) are used to determine whether a patient’s summary score is created or set to missing. This simulation work aimed to assess the impact of missing data on the estimates produced by summary scores, the psychometric properties of the resulting summary score estimates and the impact on efficacy results.MethodsComplete longitudinal data was simulated for 1000 samples of 400 patients with different day-to-day variability. Data was deleted from these samples in line with missingness mechanisms to create scenarios with up to six days of missing data. Summary scores were created for complete and missing data scenarios. Summary score estimates, psychometric properties and the ability to detect treatment differences were assessed for missing data scenarios compared to complete data. ResultsIn most cases, the 4/7 day rule was supported, but this depended on daily variability. Fewer days of data were sometimes acceptable, but this was also dependent on the type of analyses conducted. An interactive tool was created to allow researchers to assess the impact of missing data in their own work.ConclusionsThis work suggests that the missing data rule used to create summary scores impacts on the estimate, measurement properties, interpretation and observed treatment effect. However, the way the summary score is derived does not have a uniform impact across these analyses.
Investment Decisions of the Blockchain-Based Anti-Counterfeiting Traceability Service in A High-Quality Fresh Supply Chain
Authors: Liu Pan 
Published: November 2021

Abstract
Applications of the blockchain-based anti-counterfeiting traceability system (hereafter, blockchain-based ACTS) present a positive result in helping improve the repeat purchase rate and the product circulation rate. However, using the blockchain-based ACTS needs chain members’ additional expenditure. They want to know investment conditions about the blockchain-based ACTS and how to coordinate the supply chain. To solve these problems, we chosen a supply chain with one fresh producer and one retailer as the study object. Afterwards, considering the changes of the repeat purchase rate and the product circulation rate, we revised the demand function. Then, we constructed the profit functions before and after adopting the blockchain-based ACTS, and then a price discount and revenue-sharing contract was put forward to coordinate the supply chain. Findings: with the growth of the repurchase rate, benefits of chain members in the proposed three situations will increase. Thus, we can know that after using the blockchain-based ACTS.
Ponderomotive Forces in the System of Two Nanoparticles
Authors: Lozovski Valeri , Lysenko Volodymyr , Rusinchuk Natalia 
Published: November 2021

Abstract
Mechanical consequences of electromagnetic interaction of two nanoparticles have been modelled and simulated. It has been shown that local field enhancement effect in the studied system causes appearance of the local field gradients. As a consequence, the local field gradients can lead to ponderomotive forces acting on the nanoparticles near their surface. In the work the model describing the phenomena has been developed. The model is based on the near-field interaction in the self-consistent system and the effective susceptibility concept. Using the model distribution of the local field in the system of two different-sized nanparticles has been calculated and ponderomotive forces directions and values were simulated. It has been shown that in the system of two different-sized nanoparticles the forces act mainly on the surface of bigger nanoparticle and for some systems its value may acquire up to several tens of nanonewtons. Possible application of the results to study of biological systems has been also discussed.
Co-implementing Vitamin A supplementation with Seasonal Malaria Chemoprevention in Sokoto State, Nigeria: a feasibility and acceptability study
Authors: Oresanya Olusola , Phillips Abimbola , Okereke Ekechi , Ahmadu Abraham , Ibinaiye Taiwo , Marasciulo-Rice Madeleine , Ward Charlotte , Adesoro Olatunde , Mohammed Rilwanu , Nikau Jamilu , Isokpunwu Chris Osa , Inname Mohammad Ali , Counihan Helen , Baker Kevin , Maxwell Kolawole , Smith Helen 
Published: November 2021

Abstract
Background

Bi-annual high dose vitamin A supplements administered to children aged 6-59 months can significantly reduce child mortality, but vitamin A supplementation (VAS) coverage is low in Nigeria. The World Health Organization recommends that VAS be integrated into other public health programmes which are aimed at improving child survival. Seasonal malaria chemoprevention (SMC) provides a ready platform for VAS integration to improve health outcomes.
Methods

A mixed methods study design was used to assess the feasibility and acceptability of co-implementing VAS with SMC in one local government area of Sokoto state in northern Nigeria. Existing SMC implementation tools and job aids were revised and community drug distributors, experienced in SMC delivery, were trained on the determination of VAS eligibility, administration of the correct doses and identification of adverse drug reactions. SMC and VAS were delivered using a door-to-door approach. VAS and SMC coverage were calculated and the outcome of the integration was assessed using questionnaires administered to 188 and 197 households at baseline and endline respectively. The Bowen framework was used to assess feasibility through focus group discussions and key informant interviews; thematic analysis was carried out on the qualitative data.
Results

At endline, the proportion of children who received at least one dose of VAS in the last six months increased significantly from 2–59% (p<0.001). There were no adverse effects on the coverage of SMC delivery with 70% eligible children reached at baseline, increasing to 76% (p=0.412) at endline. There was no significant change (p=0.264) in the quality of SMC, measured by proportion of children receiving their first dose as directly observed treatment (DOT), at endline (68%) compared to baseline (54%). Study findings demonstrated acceptability among caregivers, community drug distributors, State and National healthcare officials.
Conclusion

This study showed that it is feasible and acceptable to integrate VAS with SMC delivery in areas of high seasonal malaria transmission such as northern Nigeria, where SMC campaigns are implemented. SMC-VAS integrated campaign can significantly increase vitamin A coverage but more research is required to demonstrate the feasibility of this integration in different settings and on a larger scale.
Study of Controlled Migration of Cadmium and Lead Into Foods From Plastic Utensils for Children
Authors: Pereira Elizeu Chiodi , Leroux Isabelle Nogueira , Luz Maciel Santos , Lemos Bruno Batista , Olympio Kelly Polido Kaneshiro 
Published: November 2021

Abstract
Lead is a highly neurotoxic chemical element known for reducing intelligence quotient (IQ) and promoting antisocial behavior in children and adolescents, while cadmium is a carcinogenic bioaccumulative element. Contaminated foods and beverages are the most common routes of exposure. The objective of this study was to determine Cd and Pb concentrations in colored plastic utensils for use by children and to measure the specific migration of these elements into beverages and foods. Pb and Cd concentrations were determined using a handheld XRF. Specific migration tests were conducted using the simulant solutions. Migration levels were determined by ICP-MS and migration tests for Pb were also performed on actual samples GF-AAS determination. Utensils (n=87) were purchased for containing Cd and/or Pb concentrations above permitted limits. The mean of Pb and Cd were 1110 and 338 ppm respectively. For specific migration assays, Pb levels were 187, 13 and 380 times above the permitted limit for acetic acid, water and orange juice, respectively. Cd levels 50 and 2.4 times above the permitted limit for acetic acid and water, respectively. The districts where the utensils were purchased were grouped according to their Social Vulnerability Index and compared using ANOVA. Results revealed a group difference in mean Pb levels for low versus medium/high social vulnerability (p = 0.006). The findings corroborate the initial hypothesis that these utensils constitute a major source of exposure to PTEs such as Cd and Pb.
Identification of the Prognostic LncRNA Biomarkers and Comprehensive Analysis of LncRNA-Mediated ceRNA Network for Uterine Corpus Endometrial Carcinoma
Authors: Cai Yiran , Cui Jin , Wu Huiqun 
Published: November 2021

Abstract
Background

Given that long non-coding RNAs (lncRNAs) involved in the tumor initiation or progression of the endometrium and that competing endogenous RNA (ceRNA) plays an important role in increasingly more biological processes, lncRNA-mediated ceRNA is likely to function in the pathogenesis of uterine corpus endometrial carcinoma (UCEC). Our present study aimed to explore the potential molecular mechanisms for the prognosis of UCEC through an lncRNA-mediated ceRNA network.
Methods

The transcriptome profiles and corresponding clinical profiles of UCEC dataset were retrieved from CPTAC and TCGA databases respectively. Differentially expressed genes (DEGs) in UCEC samples were identified via “Edge R” package. Then, an integrated bioinformatics analysis including functional enrichment analysis, tumor infiltrating immune cell(TIIC) analysis, Kaplan-Meier curve, Cox regression analysis were conducted to analyze the prognostic biomarkers.
Results

In the CPTAC dataset of UCEC, a ceRNA network comprised of 36 miRNAs, 123 lncRNAs and 124 targeted mRNAs was established, and 8 of 123 prognostic-related DElncRNAs(Differentially Expressed long noncoding RNA) were identified. While in the TCGA dataset, a ceRNA network comprised of 38 miRNAs, 83 lncRNAs and 110 targeted mRNAs was established, and 2 of 83 prognostic-related DElncRNAs were identified. After filtered by risk grouping and Cox regression analysis, 10 prognostic-related lncRNAs including LINC00443, LINC00483, C2orf48, TRBV11-2, MEG-8 were identified. In addition, 33 survival-related DEmRNAs(Differentially Expressed messager RNA) in two ceRNA networks were further validated in the HPA database. Finally, six lncRNA/miRNA/mRNA axes were established to elucidate prognostic regulatory roles in UCEC.
Conclusion

Several prognostic lncRNAs are identified and prognostic model of lncRNA-mediated ceRNA network is constructed, which promotes the understanding of UCEC development mechanisms and potential therapeutic targets.