bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surveying lncRNA-lncRNA cooperations reveals dominantly affection on tumor immunity cross cancers
Authors: Shao Tingting , Xie Yunjin , Shi Jingyi , Yang Changbo , Zou Haozhe , Li Yongsheng , Xu Juan , Li Xia 
Published: May 2022

Abstract
Long non-coding RNAs (lncRNAs) could crosstalk with each other by post-transcriptionally co-regulating genes involved in the same or similar functions; however, the regulatory principles and biological insights in tumor immune are still unclear. Here, we used a multiple-step model to identify lncRNA-lncRNA immune cooperation based on co-regulating functional modules by integrating multi-omics data cross 20 cancer types. Moreover, lncRNA immune cooperative networks (LICNs) were constructed, which are likely to modulate tumour immune microenvironment by regulating immune-related functions. We highlighted conserved and rewired network hubs which could regulate interactions between immune cells and tumor cells by target ligands and activating or inhibitory receptors such as PDCD1, CTLA4 and CD86. Immune cooperative lncRNAs (IC-lncRNAs) playing central roles in many cancers also tend to target known anticancer drug targets. In addition, these IC-lncRNAs tend to be highly expressed in immune cell populations and are significantly correlated with immune cell infiltration. The similar immune mechanisms cross cancers were revealed by the LICNs. Finally, we identified two subtypes of skin cutaneous melanoma with different immune context and prognosis based on IC-lncRNAs. In summary, this study contributes to a comprehensive understanding of the cooperative behaviours of lncRNAs and accelerating discovery of lncRNA-based biomarkers in cancer.
The effect of the number of family generations on intergenerational support for longevity elderly: a cross-sectional study
Authors: Wang Dan-Ni , Gao Xing-Xing , Huang Meng-Li , Zhao Rui , Dong Chen , Gu Zhi-Feng , Gao Jian-Lin , Shen Chen 
Published: May 2022

Abstract
Background: As for support for the elderly naturally, the family is an important carrier for achieving a sense of security, happiness, and worthiness in old age. This study analyzed the characteristics of intergenerational support in longevity elderly families and explored the impact of the number of family generations on intergenerational support. Method: A cross-sectional survey was conducted between April 2020 to January 2021 among 62 elderly people aged 90+ in Rugao, the sixth longest-lived city in the world. Under the guidance of the researcher, longevity elderly completed questionnaires including general demographics, intergenerational support, and so on. And Logistic regression model was used to analyze the influence of the number of family generations on the intergenerational economy, life, and spiritual support of the longevity elderly. Results: Longevity elderly, were primarily care recipients in their families and recipients in intergenerational support for declined physical functions and limited self-care ability. The study found that the more numbers of family generations, the more the family intergenerational life care and intergenerational spiritual comfort provided for longevity elders. Conclusion: There is a positive effect of family generations on intergenerational support for longevity elderly. The government and society should promote the fine tradition of respecting and honoring the elderly while paying close attention to the dynamic changes in the family structure of the longevity elderly, and promoting high-quality and sustainable development of the population, economy, and society.
An Automated Heart Disease Diagnosis System Using Adaptive Cross-Layer Stacked Residual Convolutional Neural Networks
Authors: Kumar G. Krishna Lava , Singh A. Robert 
Published: May 2022

Abstract
Heart disease is the devastating illness that kills the most people worldwide when compared to other ailments. Heart disease is a significant hazard. A cardiac problem occurs when the arteries supplying oxygen and blood to the heart become fully clogged or constricted. One of the primary causes of death has been heart disease. In a short period, the mortality rate has grown considerably. Because an incorrect diagnosis of the condition might result in death, accuracy and safe diagnosis of cardiac disease should be a top priority in healthcare. Cardiovascular disease may be avoided if the prognosis is right, but it can potentially be fatal if the prediction is incorrect. Hence, in this paper, we propose an automated heart disease diagnosis system. Initially, the patient data is collected and preprocessed. The features are extracted using Kernel-based Linear Discriminant Analysis (K-LDA). (Correlation-based feature selection) CFS is performed to extract relevant features. We propose Adaptive Cross-Layer Stacked Residual Convolutional Neural Networks (ACLS-RCNN) for the prediction of the disease. We also introduce the Improved Cuttlefish-Swarm Optimization Algorithm (ICSOA) for enhancing the prediction process. The performance metrics like accuracy, precision, recall, and f1-score of the proposed system are evaluated using the python simulation tool and compared with conventional methodologies. Our framework can make a very accurate prediction based on clinical data and diagnoses from the real world.
Uptake of, barriers and enablers to the utilization of postnatal care services in Thyolo, Malawi
Authors: Nyondo-Mipando Alinane Linda , Chirwa Marumbo , Kumitawa Andrew , Salimu Sangwani , Nkhoma Jacqueline , Chimuna Tiyese Jean , Dohlsten Martin , Chikwapulo Bongani 
Published: May 2022

Abstract
Background
Postnatal care (PNC) ensures early assessments for danger signs during the postpartum period and is to be provided within 24 hours of birth, 48–72 hours, 7–14 days, and six weeks after birth. This study assessed the uptake of and the barriers and facilitators to receiving PNC care among mothers and babies
Methods
A concurrent mixed-method study employing a retrospective register review and a qualitative descriptive study were conducted in Thyolo from July to December 2020. Postnatal registers of 2019 were reviewed to estimate the proportion of mothers and newborns that received PNC respectively. Focus Group Discussions (FGDs) among postnatal mothers, men, health care workers, and elderly women and in-depth interviews with Midwives, and key health care workers were conducted to explore the barriers and enablers to PNC. Observations of the services that mothers and babies received within 24 hours of birth, at 48–72 hours, 7–14 days, and six weeks after birth was conducted. Descriptive statistics were tabulated for the quantitative data using Stata while the qualitative data were managed using NVivo and analysed following a thematic approach
Results
The uptake of PNC services was at 90.5%, 30.2%, and 6.1% among women and 96.5%, 78.8%, and 13.7% among babies within 48 hours of birth, 3 to 7 and 8 to 42 days respectively. The barriers to PNC services included the absence of a baby or mother, limited understanding of PNC services, lack of male involvement, and economic challenges. Cultural and religious beliefs, advice from community members, community activities, distance, lack of resources, and poor attitude of health care workers also impeded utilization of PNC services. The enablers included the mothers’ level of education, awareness of the services, economic resources, community-based health support, adequacy and attitude of health workers, seeking treatment for other conditions, and other clinic activities.
Conclusion
Optimization of uptake and utilization of PNC services for mothers and neonates will require the involvement of all stakeholders. The success of PNC services lies in the communities, health services, and mothers understanding the relevance, timepoints, and services that need to be delivered to create demand for the services.
Floating raft culture of Gracilaria verrucosa for optimum yield performance on the coast of Cox’s Bazar, Bangladesh
Authors: Sobuj Mohammad Khairul Alam , Mostofa Md. Golam , Islam Zahidul , Rabby Ahmad Fazley , Rahman Turabur , Sonia Saima Sultana , Hasan Shanur Jahedul , Rahman Shafiqur 
Published: May 2022

Abstract
The present study was meant to describe the very first description of Gracilaria verrucosa culture using a floating raft culture method on the coast of Cox’s Bazar, Bangladesh. The effects of different factors such as rope materials, culture type, raft shape, seeding intensity, harvesting phase, and water depth on the biomass production of seaweed were evaluated during a 90-day culture period. Different water quality variables such as temperature, pH, DO, salinity, TDS, transparency, alkalinity, ammonia, nitrite, nitrate, and silica were measured at every 15-day interval throughout the culture period. The seasonal appearance of epiphytic algae and cost-benefit analysis of seaweed culture was also performed. We found the range of biomass production (3.03–13.37 kg/m2) and DGR (3.08–4.72% d− 1) to be satisfactory in the floating raft culture method. A total of eight epiphytic algal species were recorded, which resulted in major challenges for the growth of Gracilaria. The cost-benefit analysis showed about a $1051 profit for a six-month culture period in 20 rafts. Our research concluded that farming G. verrucosa in the floating raft method, when certain critical factors are considered, can become a profitable sector for large-scale seaweed production in our coastal area.
Unravelling bile viromes of free-range laying chickens clinically diagnosed with spotty liver disease: Emergence of many novel chaphamaparvoviruses evolved into multiple lineages
Authors: Sarker Subir , Talukder Saranika , Anwar Arif , Van Thi Thu Hao , Petrovski Steve 
Published: May 2022

Abstract
Spotty liver disease (SLD) causes substantial egg production losses and chicken mortality; therefore, it is a disease that concerns Australian egg farmers. Over the last few decades, much research has been conducted to determine the etiologic agents of SLD and to develop potential therapeutics; however, SLD still remains a major issue for the chicken industries globally and remained without the elucidation of potentially multiple pathogens involved. To help fill this gap, this study was aimed at understanding the viral diversity of bile samples from which the SLD-causing bacterium, Campylobacter hepaticus, has been isolated and characterised. The collected samples were processed and sequenced using high-throughput next-generation sequencing. Remarkably, this study found 15 galliform chaphamaparvoviruses (GaChPVs), of which 14 are novel under the genus Chaphamaparvovirus. Among them, nine were complete genomes that showed between 41.7% and 78.3% genome-wide pairwise similarities to one another. Subsequent phylogenetic analysis using the NS1 gene exhibited a multiple incursion of chaphamaparvovirus lineages, including a novel lineage of unknown ancestral history in free-range laying chickens in Australia. This is the first evidence of circulating many parvoviruses in chicken in Australia, which has increased our knowledge of the pathogen diversity that may have an association with SLD in chickens.
Fusion of Multimodality Features for Improved Classification of Alzheimer Disease
Authors: Shobha S , Karthikeyan B R 
Published: May 2022

Abstract
This paper focus on improved classification accuracy in classification of Alzheimer Disease (AD) vs Mild cognitive impairment (MCI) vs Normal Controls (NC) by feature reduction technique and fusion of multimodality features. The gray matter of specified ROI regions of brain is extracted from MRI and FDG-PET images. The LASSO feature selection technique is used to identify the relevant features significant for the classification of AD from MCI and NC. The reduction of features leads to 92.27% of accuracy which is improved by 11% compared without feature selection in classification of AD vs MCI. The classification of AD vs MCI and MCI vs NC is challenging due to the high correlations of the features. Through the analysis it is found that for AD vs MCI a maximum of 92.27% of classification accuracy accomplished for multimodal combination of features using linear Support vector Machine (SVM) algorithm and for MCI vs NC 99% accomplished using linear SVM algorithm. It is identified that fusion of features of all the modalities provides 94.9% accuracy for AD vs MCI vs NC. The analysis solidifies that fusion of multi-modality features always improves the classification accuracy compared to using any one of the single modality features. All the analysis were carried out using ADNI-1 data base and subject IDs are listed in Table 10.
Jerk Optimization Model of Motor Control for Continuous Movement - A Genetic Algorithm Approach
Authors: Silva Mateus Souza , de Araújo João Ricardo Pessoa , Daneault Jean-Francois , Miranda José Garcia Vivas 
Published: May 2022

Abstract
Identifying the principles inherent to human motor control, and the variables that are optimized during movement, has been a challenge for over a century. Several models have been developed, where different variables of the movement are optimized, however, the jerk minimization model has gained some prominence as its output closely matches human movements. However, this model was developed for simple point-to-point 2D movements. To generalize this model, recent studies have developed the Movement Element Decomposition Method (MED) which consists of a process of atomizing complex movements. Still, MED used the same boundary conditions that were used in the initial jerk minimization model of 2D point-to-point movements, making MED output not optimal for continuous movements. The goal of this study was to generalize the jerk minimization model for application to general continuous movements, through the combination of MED and a genetic algorithm model. The curve found in this study has a better fit for continuous movements than the theoretical curves available in the literature. Furthermore, the application of optimization models of motor control variables through the usage of a genetic algorithm enables their integration with other computational tools for more complex modeling.
Asymbiotic and Symbiotic Seed Culture of Polystachya Concreta (Jacq.) Garay &amp; H.R. Sweet From Ecuador
Authors: Quijia-Lamina Paulina H. , Baquero Luis E. , Kane Michael E. , Zettler Lawrence W. 
Published: May 2022

Abstract
Protocols for seed germination and seedling development were developed for the orchid, Polystachya concreta. Mature seeds were collected from native populations in northwest Andes Mountains of Ecuador. Putative mycorrhizal fungi were isolated from roots of orchid seedlings and juvenile plants in situ. Seeds and pure fungal cultures were transported to the laboratory located at the University of Florida, Gainesville, Florida, USA. Four asymbiotic orchid seed germination media: Knudson-C (KD-C), Vacin and Went Modified Orchid Medium (VW), ½ X Strength Murashige & Skoog (½ X MS), and PhytoTechnology Orchid Seed Sowing Medium (P723) were examined for their effectiveness in promoting seed germination and protocorm development of P. concreta in both 0/24 h and 12/12 h Light/Dark photoperiod at 23 ºC. Germination occurred regardless of medium and photoperiod treatments. Germinated P. concreta seeds attained the seedling developmental stage on all media, except KN-C. Protocorm like bodies were observed when seeds were germinated in complete darkness for the initial 21 days of the experiment.Effects of putative mycorrhizal fungi isolated from native populations on seed germination and seedling development were also examined. Both germination and seedling development were promoted by Tulasnella calospora (UAMH 9824) isolated from Spiranthes brevilabris in Florida, USA. Ceratobasidium strains isolated from different orchid species from Ecuador did not promote seed gemination and seedling development. Tulasnella strains from Ecuador only enhanced seed germination on P. concreta. Results of this study will aid in the development of efficient seed germination protocols for the conservation of native orchids from Ecuador.
Nogo receptor 1 is a novel class of NK cell inhibitory receptor to destabilize synapse by regulating actin dynamics
Authors: Kim Tae-Don , Doh Junsang , Oh Se-Chan , Kim Seong-Eun , Kim Seok-Min , Lee Soo Yun , Lee Sun-Young , Jang In Hwan , Chu In-Sun 
Published: May 2022

Abstract
The formation of immunological synapse (IS) is essential for natural killer (NK) cells to eliminate target cells. Although elucidation of the overall characteristics and formation processes of IS is ongoing, the mechanisms for regulating the stability of IS by cytoskeleton remain to be understood. The current study reports that Nogo receptor 1 (NgR1) plays a key role in modulating NK cell-mediated killing by destabilization of IS formation. NgR1 deficiency or blockade results in improved tumor control of NK cells by enhancing NK-to-target cell contact stability and regulating F-actin dynamics during IS formation. Clinically, patients with a tumor expressing abundant NgR1 ligand showed poor prognosis despite high levels of NK cell infiltration. Thus, our study identifies NgR1 as an immune checkpoint involved in IS formation and reveals a potential approach to improve the killing effect of NK cells in cancer immunotherapy.
Transcriptomic study on differential expression of peripheral blood in patients with early steroid-induced osteonecrosis of femoral head based on Gene Expression Omnibus
Authors: Tian Cong , Shao Wenhui , Zhou Honghai 
Published: May 2022

Abstract
Objective: The purpose of the present study was to explore the signalling pathway in the development of early SONFH(Steroid-induced steonecrosis of femoral head) and to predict diagnostic biomarkers in peripheral blood of patients with SONFH. Method: Relevant transcriptome data was downloaded and the DEGs（Differently Expressed Genes） were screened by R software. ClusterProfiler was used for enrichment analysis of GO(Gene Ontology) and KEGG(Kyoto Encyclopaedia of Genes and Genomes), and STRING database was used for PPI(Protein Protein Interaction) analysis. Network X was used to visualize the network in Python. Result: In the study, 584 differential genes were found, including 294 up-regulated genes and 290 down-regulated genes. The main functions of DEG enrichment includered blood cell differentiation, cell protein catabolism, gas transportation, activation of myeloid leukocytes, phagocytosis, and inflammatory response. The main pathways involved in DEGs includemitophagy-animal, HTLV-1(Human T cell leukemia virus-1) infection, FOXO(Forkhead box O), phagocytosis, osteoclast differentiation, and cytokine–cytokine receptor interaction.The qRT-PCR results were consistent with the PPI networkanalysis results.Conclusion: It was found that DEGs related to SONFH, such as PRDX2(Peroxiredoxin 2), HP(Haptoglobin), MMP8, FPR2(Formyl Peptide Receptor 2), ITGAX(Integrin Subunit Alpha X), may promote the occurrence of SONFH by affecting factors such as redox pathway, inflammatory response, osteoblast and osteoclast structure and function, and whether it can become the key gene for early diagnosis and treatment of the disease needs further study.
Stability and Biosafety of human epidermal stem cell for wound repair: Preclinical evaluation
Authors: Zhao Xiaohong , Li Xue , Wang Ying , Guo Yicheng , Huang Yong , Lv Dalun , Lei Mingxing , Yu Shicang , Luo Gaoxing , zhan rixing 
Published: May 2022

Abstract
Background: Cell therapy is a key technology to prevent sacrificing normal skin. Although some studies have shown the promise of human epidermal stem cells (EpiSCs), the efficacy, biosafety and quality control of EpiSC therapy have not been systematically reported. Methods: The biosafety, stemness maintenance and wound repair of EpiSC were systematically verified by in vitro and in vivo experiments. EpiSC were prepared from the foreskin using a collagen type IV rapid adherence method. The EpiSCs were identified by flow cytometry, immunofluorescence staining and cell morphology. The well-growing passage 1 (P1) EpiSCs were used to determine the proliferation curve (counting method). EpiSC clone formation assay by Giemsa staining. Using nude mice to prepare a full-thickness skin defect wound model to detect the repair effect of EpiSCs. The biosafety of EpiSCs was double tested in vitro and in vivo.Results: The results showed that the expression of specific markers and clone formation efficiency were stable when passage 1 (P1) to P8 cells were cultured, and the stemness rate of P8 cells was close to 85.1%. EpiSCs were expanded in vitro for 25 days, the number of cells reached 2.5×10^8, and the transplantable area was approximately 75% of the total body surface area (TBSA). At 45 days, the total number of cells was approximately 30 billion, and the transplantable area was approximately the size of a volleyball court. A nude mouse wound model indicated that EpiSCs could rapidly close a wound. On postinjury day 7, the wound epithelialization rate in the cell transplantation group was significantly higher than that in the NaCl group (P<0.05). In vitro, cell senescence increased, and telomerase activity decreased in P1 to P8 EpiSCs. In vivo, there were no solid tumors or metastatic tumors after EpiSC (P8) transplantation. In addition, the quality control of cultured cells met the clinical application criteria for cell therapy. Conclusion: This preclinical study showed the stability and biosafety of human EpiSC therapy for wound repair.
Weight Fluctuation and Cardiovascular Outcomes: A Systematic Review and Meta-Analysis
Authors: Massey Robert J , Siddiqui Moneeza K , Pearson Ewan R , Dawed Adem Y 
Published: May 2022

Abstract
The association between body weight fluctuation and the risk of cardiovascular disease (CVD) has been investigated previously with mixed findings. However, there has been no extensive study which systematically evaluates the current evidence. Furthermore, the impact of ethnicity and type 2 diabetes on this phenomena has not yet been investigated. Therefore, the aim of this study was to comprehensively evaluate the effect of weight fluctuation on risk of CVD (any cardiovascular (CV) event, composite CV outcome, CV death, Stroke, Myocardial Infarction) and the influence of ethnicity and type 2 diabetes status on the observed association. A systematic review and meta-analysis was performed according to the meta-analyses of observational studies in epidemiology (MOOSE) guidelines. The electronic databases PubMed, Web of Science, and the Cochrane Library were searched for studies that investigated the relationship between body weight or BMI fluctuation and CV diseases using Medical Subject Headings (MeSH) terms and keywords. The relative risks (RRs) for the outcomes were collected from studies, pooled, and analysed using a random-effects model to estimate the overall relative risk. Of 5645 articles screened, 23 studies with a total population of 15,382,537 fulfilled the prespecified criteria and were included. Individuals in the highest strata of body weight fluctuation were found to have significantly increased risk of any CV events (RR = 1.27; 95% Confidence Interval (CI) 1.17–1.38; P < 0.0001), cardiovascular death (RR = 1.24; 95% CI 1.02–1.46), myocardial infarction (RR = 1.32; 95% CI 1.09–1.59; P = 0.0037), stroke (RR = 1.21; 95% CI 1.19–1.24; P < 0.0001), and compound CVD outcomes (RR = 1.36; 95% CI 1.08–1.73; P = 0.01). Similar RRs were observed regarding BMI fluctuation and per unit standard deviation (SD) increase in body weight fluctuation. Comparable effects were seen in people with and without diabetes, in White Europeans and Asians. In conclusion, body weight variability is associated with increased risk of CV diseases regardless of ethnicity or diabetes status. Future research is needed to prove a causative link between weight cycling and CVD risk, as appropriate interventions to maintain stable weight could positively influence CVD.