bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Learning Experience of Virtual Simulation Class Experiment Teaching and Learning Based on the Perspective of Nursing Students
Authors: Gao Yazhuo , Zhu Xuehua 
Published: March 2023

Abstract
Background: With the enrichment of information technology means, the traditional teaching mode has been impacted. The emergence of virtual simulation class experiment teaching software has effectively improved the quality of nursing experiment teaching. To explore the learning experience of virtual simulation class experiment teaching and learning based on the perspective of nursing students, in order to provide a basis for improving related learning effects in the future.
Methods: A total of 14 undergraduate nursing students who met the inclusion and exclusion criteria were selected by purposive sampling method for semi-structured interviews. Colaizzi seven-step analysis method was used to collate and analyze the interview data.
Results: Learning experience can be divided into positive experience and negative experience. In the positive learning experience, undergraduate nursing students showed a deep memory of real and diverse scenes, which made the knowledge presentedin the characteristics of clear logic, symbolization and stereoscopic vision. Negative experience is manifested as the learning efficiency is significantly different in different grades and subjects, and the teaching feedback is difficult to be timely.
Conclusions: Virtual simulation experiment teaching can promote the subjective initiative of nursing students’ learning, and promote their image thinking and theoretical thinking to get better coordination and unity. By following the educational policy of our country, strengthening the information construction, combining with the characteristics of the discipline and bringing its superiority into full play. This paper provides reference for the future exploration of nursing education and further improving the construction of virtual simulation experiment teaching.
Lightning nowcasting with aerosol-informed machine learning and satellite-enriched dataset
Authors: Li Siwei , Song Ge , Xing Jia 
Published: March 2023

Abstract
Fast and accurate prediction of lightning occurrence is important for protecting human health and global environment. The machine learning (ML)-based model has advantages in computation efficiency; however it suffers low accuracy due to insufficient depiction of complex lightning mechanisms and poor training dataset. To address such limitations, here we propose a novel ML-based lightning nowcast model (LightGBM) by incorporating aerosol feature to better capture the lightning mechanisms, together with the aid of enriched satellite observations from Geostationary Lightning Mapper (GLM). The well-trained LightGBM model has successfully predicted spatially continuous (0.25° by 0.25°) and hourly level lightning occurrence over summertime Contiguous United Stated (CONUS) with improved performance (accuracy = 94.3%, POD = 75.0%, FAR = 38.1%, PRC-AUC = 0.727) from competitive baselines (POD < 60%, FAR > 40%). Besides enriched dataset, such improved performance is also associated with the inclusion of aerosol feature (with > 10% enhancement on correct rejection rate when demand for POD exceeds 75%) which is proven to be essential for predicting lightning but overlooked in previous studies. Furthermore, the model reveals the contribution of aerosol composition and loading to the formation of lightning, suggesting high loading of aerosols compositing of sulfate and organic compounds tend to enhance the lightning while black carbon inhibits it. These findings are consistent with the current scientific knowledge and demonstrate the great potentials to explore the complex mechanisms of lightning associated with aerosols.
Potency of Teleopthalmology As A Detection Tool for Diabetes Retinopathy
Authors: Li Liu , Jin Yu , Wang Jun Hua , Wang Sha Sha , Yuan Fang Xiu 
Published: March 2023

Abstract
Purpose: To explore the effect of application of teleopthalmology for screening of diabetes retinopathy in diabetic patients.
Methods: The retinal images of 1646 diabetic patients undergoing diabetes retinopathy screening through teleopthalmology in Nanchang First Hospital were collected for 30 months (January 2020 to June 2022). Retinal images were collected, stored by community general practitioner, and diagnosed by both community general practitioner and ophthalmologist of our hospital through teleopthalmology.
Results: A total of 1646 patients with 3185 eyes were examined, including 1936 eyes of diabetes retinopathy. The accuracy of community general practitioner was acceptable, which gradually improved with time.
Conclusions:Teleopthalmology is a detection tool for diabetes retinopathy, which makes it possible for community general practitioners to grade images with high accuracy after appropriate training through teleopthalmology.It is possible to solve the current shortage of eye care personnel.
Boosting the digitalization of social and care services: A methodological approach for the evaluation and uptake of Open Service Platforms in the Active and Healthy Ageing (AHA) domain
Authors: Abril-Jiménez Patricia , Carvajal-Flores Diego , Cabrera-Umpierrez María Fernanda , Gonzalez-Martinez Sergio , Montalva-Colomer Juan Bautista , Pérez Silvia de los Ríos , Waldmeyer María Teresa Arredondo 
Published: March 2023

Abstract
Background: The massive use of digital technologies has created a wide number of opportunities to improve Active and Healthy Ageing (AHA) services and products and respond to the socioeconomic and healthcare challenges caused by the growing ageing population. Therefore, a considerable number of digital AHA platforms have been produced in recent years. These platforms are operational on similar services within the same domain, competing or complementing each other in most cases. This makes it difficult for service providers, developers, and public administrations to choose based on the available options and their benefits.
Methods: Responding to the need of providing information on prioritization and understanding the real value of these platforms to support decision making on the correct selection, this study understands the different characteristics and differences of the currently available services platforms, to get a comprehensive view directly through the feedback of platforms owners (both developers and managers) with the participatory involvement of every of the stakeholders contributing in the AHA services provision and consumption.
Results: The paper develops and applies the proposed methodology into a specific AHA use case. Our findings suggest that this method can be considered an effective framework to define a set of Key Performance Indicators (KPIs) to track the successful uptake and evolution of existing platforms thanks to the combination of the different stakeholders’ visions and interests at the different interventions levels.
Conclusions: The proposed method led us to proposing a comprehensive list of KPIs, which has evolved along the process to a minimum set of KPIs, that are relevant for the methodologically measure the success of digital AHA platforms, according to four different perspectives: primary end-users, technological providers, end-users consumers and government, and at different levels of integration: user, community and municipalities.
Another HSS Spliting Theorem
Authors: Smotzer Thomas , Buoni John 
Published: March 2023

Abstract
In this paper, we study a variation of the HSS spliting which was first formulated by Bai. Golub and Ng. This variation is similar to that of Kellogg’s variation of the Peaceman Radford Method.
Mathematical subject classification: Primary 65F10, 65F50, Secondary 15A06
Extending loophole-free nonlocal correlations to arbitrarily large distances
Authors: Chaturvedi Anubhav , Viola Giuseppe , Pawłowski Marcin 
Published: March 2023

Abstract
One of the most striking features of quantum theory is that it allows spatially separated observers to share correlations that resist local-causal (classical) explanations, a phenomenon referred to as Bell nonlocality[1, 2]. Besides their foundational relevance, the nonlocal correlations enable distant observers to accomplish classically inconceivable information processing and cryptographic feats such as unconditionally secure device-independent key distribution schemes[3-5]. However, the distances over which nonlocal correlations can be realized in state-of-the-art Bell experiments remain severely limited owing to the high threshold efficiencies of the detectors and the fragility of the nonlocal correlations to experimental noise[6, 7]. Instead of looking for quantum strategies with marginally lower threshold requirements, we exploit the properties of loophole-free nonlocal correlations, which are experimentally attainable today, albeit at short distances, to extend them over arbitrarily large distances. Specifically, we consider Bell experiments wherein the spatially separated parties randomly choose the location of their measurement devices in addition to their measurement settings. We demonstrate that when devices close to the entanglement source are perfect and witness extremal loophole-free nonlocal correlations, such correlations can be extended to devices placed arbitrarily far from the source, with almost zero detection efficiency and visibility. To accommodate imperfections close to the source, we demonstrate a specific analytical tradeoff: the higher the loophole-free nonlocality close to the source, the lower the threshold requirements away from the source. We utilize this analytical tradeoff paired with optimal quantum strategies to estimate the critical requirements of a measurement device placed away from the source in the simplest non-trivial scenario and formulate a versatile numerical method applicable to generic network scenarios. Our results demonstrate that the properties of already feasible short-distance loophole-free nonlocal correlations can be exploited to extend them to longer distances, enabling device-independent information processing and cryptography fuelled by long-distance loophole-free nonlocal correlations to become near-term commonplace technologies.
Artificial axons - a biomimetic 3D myelination platform for the discovery and validation of pro-myelinating compounds
Authors: Jagielska Anna , Radzwill Kristin , Espinosa-Hoyos Daniela , Yang Mingyu , Kowsari Kavin , Farley Jonathan E. , Giera Stefanie , Byrne Ann , Sheng Guoqing , Fang Nicholas X. , Dodge James C. , Pedraza Carlos E. , Vliet Krystyn J. Van 
Published: March 2023

Abstract
Multiple sclerosis (MS), a chronic neurodegenerative disease driven by damage to the protective myelin sheath, is currently incurable. Today, all clinically available treatments modulate the immune-mediated symptoms of the disease but they fail to stop neurodegeneration in many patients. Remyelination, the regenerative process of myelin repair by oligodendrocytes, which is considered a necessary step to protect demyelinated axons and stop neuronal death, is impaired in MS patients. One of the major obstacles to finding effective remyelinating drugs is the lack of biomimetic drug screening platforms that enable quantification of compounds’ potential to stimulate 3D myelination in the physiologically relevant axon-like environment. To address this need, we built a unique myelination drug discovery platform, by expanding our previously developed technology, artificial axons (AAs), which enables 3D-printing of synthetic axon mimics with the geometry and mechanical properties closely resembling those of biological axons. This platform allows for high-throughput phenotypic myelination assay based on quantification of 3D wrapping of myelin membrane around axons in response to compounds. Here, we demonstrate quantification of 3D myelin wrapping by rat oligodendrocytes around the axon mimics in response to a small library of known pro-myelinating compounds. This assay shows pro-myelinating activity for all tested compounds consistent with the published in vitro and in vivo data, demonstrating predictive power of AA platform. We find that stimulation of myelin wrapping by these compounds is dose-dependent, providing a facile means to quantify the compounds’ potency and efficacy in promoting myelin wrapping. Further, the ranking of relative efficacy among these compounds differs in this 3D axon-like environment as compared to a traditional oligodendrocyte 2D differentiation assay quantifying area of deposited myelin membrane. Together, we demonstrate that the artificial axons platform and associated phenotypic myelin wrapping assay afford direct evaluation of myelin wrapping by oligodendrocytes in response to soluble compounds in an axon-like environment, providing a predictive tool for the discovery of remyelinating therapies.
Comprehensive Bioinformatics analysis of angiotensin-converting enzyme 2 (ACE2)
Authors: Zhang Shanshan , Zhang Yongtao , Liu Pengchao , Yang Wei , Li Xianxian , Zhang Chao , Yang Dan , Zhi Wei , Han Jinxiang , Lu Yanqin 
Published: March 2023

Abstract
ACE2, a member of the angiotensin converting enzyme family, plays an irreplaceable role in the renin-angiotensin system. And the variations of ACE2 are regarded as the key factor to human diseases such as the novel coronavirus pneumonia, cardiovascular disease, and tumors. Here, we summarized the mutation, expression, modification and function of the human ACE2 based on comprehensive bioinformatics analysis. Especially, the relationship between ACE2 expression and diseases, especially tumor was further discussed. ACE2 is highly conserved in different genera and families. We explored the correlation between ACE2 and disease based on the datasets of GCBI and GEO (Gene expression omnibus), and found the expression of ACE2 is related to heart failure. High prevalence of ACE2 mutations is observed in diffuse large B-cell lymphoma, uterine carcinosarcoma (UCS), and stomach adenocarcinoma (STAD). We first identified that highly expressed of ACE2 was linked to poor prognosis of overall survival for tumors of brain lower grade glioma (LGG). Specially, the expression level of ACE2 in kidney-related tumor tissues is much higher than that of normal kidney tissues. ACE2 is negatively correlated with the infiltration level of cancer-associated fibroblasts in most kinds of cancers, such as uterine corpus endometrial carcinoma (UCEC), esophageal carcinoma (ESCA), ovarian serous cystadenocarcinoma (OV) and kidney renal clear cell carcinoma (KIRC); positively correlation in testicular germ cell tumors (TGCT). The different phosphorylation sites of ACE2 were analyzed in CPTAC dataset, and the DNA methylation of ACE2 in colon adenocarcinoma (COAD), kidney renal papillary cell carcinoma (KIRP), and rectum adenocarcinoma (READ) was lower than that of normal control by using SMART database. Moreover, we summarized the interaction proteins and targeted miRNAs of ACE2 through bioinformatics. Then we found the endocrine process and the regulation of systemic arterial blood pressure were involved in the functional mechanisms of ACE2 by using KEGG and GO analysis. Our study offers a relatively comprehensive understanding of ACE2.
First trimester fetal ultrasonographic soft markers and adverse pregnancy outcomes
Authors: Ji Chunya , Sheng Liting , Zheng Chenhan , Yin Linliang , Deng Xuedong , Wu Guihua , Sun Lingling , Pan Qi , Yang Zhong , Zhang Jun , Ling Chen 
Published: March 2023

Abstract
Objective
To evaluate the relationship between first trimester (11 ~ 13+ 6 gestational weeks) ultrasonographic soft markers (USMs) and fetal adverse pregnancy outcomes.
Methods
A retrospective study, singleton pregnancies were recruited from the first-trimester scanning (FTS) during May 2017 to August 2021 at the Affiliated Suzhou Hospital of Nanjing Medical University. All fetuses were followed up till birth or induced abortion. The spectrum and detection rate of USMs during the first trimester were studied. The correlation between USMs and adverse pregnancy outcomes was analyzed to evaluate the management of fetus with 1st trimester USMs.
Results
Among 7355 fetuses who underwent FTS, 6868 fetuses with complete follow-up outcomes were recruited in the study. Total 1105 USMs were reported among 963 fetuses during the first trimester. According to the detection rate, the most frequently detected USMs were increased nuchal translucency (NT) thickeness (6.70%, 460/6868), followed by echogenic intracardiac focus (EIF) (5.10%, 350/6868), absent/reversed a-wave of ductus venosus (1.35%, 93/6868) and absence/hypoplasia of the nasal bone (NB) (1.03%, 71/6868). The incidence of adverse pregnancy outcomes in fetuses with two or more USMs was 36.44% (43/118), which was significantly higher (χ2 = 114.50, P < 0.001) than fetuses with single USM (5.68%, 48/845). The incidence of adverse pregnancy outcomes in fetuses who had both USMs and structural abnormalities was 72.60% (53/73), were also significantly higher (χ2 = 368.17, P < 0.001) than fetuses with isolated USMs without structural abnormalities (4.27%, 38/890). Logistic regression analysis showed increased NT thickness, absence/hypoplasia of the NB, absent/reversed a-wave of ductus venosus, tricuspid regurgitation (TR), choroid plexus cyst (CPC), echogenic bowel (EB) and single umbilical artery (SUA) were closely associated with the adverse pregnancy outcomes (P < 0.05). However, there was no significant correlation between EIF, mild pyelectasis (PYE) and fetal adverse pregnancy outcomes (P = 0.30; P = 0.77).
Conclusions
The ultrasonographic soft markers found during the first trimester, especially multiple USMs, or USMs are associated with structural malformations, are potential soft markers in predicting fetal adverse pregnancy outcomes.
Investigation on anti-quorum sensing activities of Chitosan AgNP’s-chitosanase against MDR pathogens
Authors: Sathiyamoorthy Jananishree , N Mahesh 
Published: March 2023

Abstract

Marine bio-nanotechnology is a new promising field with having high perspective in the area of biological research. In 2018 the production of crustacean shells especially from shrimp is about 54,500 tons on South East coast of India. The current study focuses on the use of extracted chitosan (Squilla shells) polymer in silver nanoparticle synthesis along with immobilized chitosanase synergistically improves the antimicrobial and quorum quenching effects against the multi drug resistant (MDR) pathogens. The main objective of the project is to synthesize the chitosan AgNPs and to immobilize the enzyme chitosanase with it and to study the anti quorum sensing (quorum quenching) activity against MDR pathogens. This study will render a new ideology to eliminate biofilm formation and suppress the pathogenicity of planktonic MDR pathogens. Since the combinations of chitosanase, as well as Chitosan silver nanoparticles, are very efficient in eliminating them.
Single-cell analysis of uterosacral ligament revealed cellular heterogeneity in women with pelvic organ prolapse
Authors: Liu Xiaochun , Sue Minna , Wei Lingyun , Zhang Jia , Wang Wenzhen , Hao Qian , Lin Xiling , Wang Lili 
Published: March 2023

Abstract
Pelvic organ prolapse (POP) markedly affects the quality of life of women, including significant financial burden. Different cell types and corresponding marker genes were identified in the vaginal wall of women with POP; however, no study has explored gene expression and cellular heterogeneity in the uterosacral ligament. Using single-cell RNA sequencing, we constructed a transcriptional profile of the uterosacral ligament and control samples, and identified 10 major cell types. We performed subpopulation analysis of POP primary cells, explored differentially expressed genes, and performed pseudo-time and transcription factor analyses. We verified previous cell clusters of human fibroblasts, neutrophils, and found new clusters of uterosacral ligaments. Additionally, we dissected pattern changes of cell–cell interaction between stromal and immune cells and transcription factors related to the extracellular matrix, development, and immunity in POP. Here we provide insight into the molecular mechanisms of POP and valuable information for future research directions.
Seasonal variation in spider abundance in Muthupet mangroves, South East coast of Tamilnadu, India
Authors: Raja Rethinam Bose , Muthukumaravel Kannayiram , Selvan K. Muthamizh , Pradhoshini Kumara Perumal , Ahmed Munawar Suhail , Musthafa Mohamed Saiyad , Burgos-Aceves Mario Alberto , Faggio Caterina 
Published: March 2023

Abstract

The abundance, dominance and diversity of the arachnid population are influenced by their habitat’s microclimate and environmental variables. Here we evaluated a seasonal dominance, diversity and richness pattern of the arachnid population and their guild composition in the Muthupet mangrove forest. Most of the spiders were aggregated from specific mangrove plants such as Avicennia and Rhizophora species by adopting standard hand-picking and net-sweeping methods and employing bark traps, pitfall traps and leaf litter traps. A total of 14 families, 29 genera and 47 species of arachnids were recorded. The sequence of the abundance of the families was: Araneidae > Tetragnathidae > Lycosidae > Salticidae > Oxyopidae > Eresidae > Liniphidae > Clubionidae > Sparassidae > Uloboridae > Hersilidae > Gnaphosidae = Thomisidae > Miturgidae. The annual average population density of spiders was maximum (36.13%) during the post-monsoon (January, February, and March) and summer seasons. The minimum seasonal mean population density was during the pre-monsoon and monsoon periods, attributed to the changes in temperature, relative humidity and rainfall. The Muthupet mangrove forest registered six types of guilds. The dominant group was orb-weavers (62.44%), followed by foliage runners (15.11%). The rest of the guilds were represented by tunnel web builders (15.78%), ground runners (2.23%), communal web weavers (4.41%), and ambushers (0.03%). Thus, changes in environmental parameters produced alterations in arachnid abundance and diversity. Moreover, the predatory potential of the arachnids relies chiefly on the composition of spider assemblages, which in turn, gets impacted by abiotic factors of its environment.