bluuebunny/crossref_metadata_2025_split huggingface dataset:
Macro-meso damage characteristics of coal body under different pressure relief conditions
Authors: LI Jinyu , WANG Lei , ZHAO Hongbao , ZHANG Yilong , PANG Jiawei , Tao WANG 
Published: October 2022

Abstract
The mining of the protective coal seam usually produces different pressure relief effects on the different areas of protected coal seam, the reason is that the stress paths of protected seam coal body in different areas caused by mining effect are different. In order to explore the differential pressure relief damage effect of coal body under different pressure relief conditions, the stress evolution path of coal body in different areas of the protected coal seam is obtianed by using theoretical analysis and the macro-micro damage characteristics of coal body under different stress paths by using numerical simulation in this paper. The results show that: The damage characteristics of the sample models are basically the same in the in-situ stress recovery stage and the mining disturbance stage of the two stress paths. with ith the sequence of stress stages experienced by the sample model, the distribution of acoustic emission events concentrates in the high-intensity area and the porosity continues to decrease. The number of cracks increases slowly in the stage of in-situ stress recovery stage, most of which are tensile cracks, while the number of cracks increases sharply in the mining disturbance stage, most of which are shear cracks. The difference of the deformation and macro meso damage characteristics of the sample models under the two stress paths is mainly reflected in the post mining pressure relief stage. At the post mining pressure relief stage of path 1, the number of cracks in the sample has little growth, and most of them are small energy tensile cracks, and the porosity increases, which verifies its obvious pressure relief activation antireflection effect; At this stage of path 2, the crack growth of the sample is obvious, and most of them are high-energy shear cracks, and the porosity continues to decrease. Compared with path 1, the pressure relief expansion effect of the sample model is suppressed and the compression damage continues to develop in this stage of path 2.
The development of a highly sensitive and quantitative SARS-CoV-2 rapid antigen test applying newly developed monoclonal antibodies to an automated chemiluminescent flow-through membrane immunoassay device
Authors: Nishimura Kengo , Kitazawa Hiroaki , Kawahata Takashi , Yuhara Kosuke , Masuya Takahiro , Kuroita Toshihiro , Waki Kentarou , Koike Seiichi , Isobe Masaharu , Kurosawa Nobuyuki 
Published: October 2022

Abstract
Background
The rapid and accurate diagnosis of individuals with SARS-CoV-2 infection is an effective way to prevent and control the spread of COVID-19. Although the detection of SARS-CoV‐2 viral RNA by RT‐qPCR is the gold standard for COVID‐19 testing, the use of antigen-detecting rapid diagnostic tests (Ag-RDTs) is emerging as a complementary surveillance tool as Omicron case numbers skyrocket worldwide. However, the results from Ag-RDTs are less accurate for individuals with low viral loads.
Methods
To develop a more sensitive and accurate Ag-RDT, we screened a total of 90 candidate monoclonal antibodies (mAbs) obtained from guinea pigs immunized with SARS-CoV-2 nucleocapsid protein (CoV-2-NP), and a highly specific epitope-characterized mAb set suitable for detecting the antigen was selected. By applying the mAb set to an automated chemiluminescence flow-through membrane immunoassay device, we developed a highly sensitive and quantitative Ag-RDT, CoV-2-POCube.
Results
CoV-2-POCube exclusively recognizes a variety of CoV-2-NP variants but not the nucleocapsid proteins of SARS-CoV and other human coronaviruses. CoV-2-POCube achieved a limit of detection sensitivity of 0.20 ~ 0.66 pg/mL of a variety of CoV-2-NP variants, showing over 100 times greater sensitivity than commercially airable SARS-CoV-2 Ag-RDTs.
Conclusion
CoV-2-POCube is a promising alternative to currently available diagnostic devices for faster clinical decision-making in individuals with suspected COVID-19 in limited-resource settings.
Lipoarabinomannan (LAM) - a potential biomarker for the diagnosis of tuberculosis from the urine of infected elephants
Authors: Ranjini Manuel , Deepa P.M , Ashok Unni , Lijo John , Deepa C.K 
Published: October 2022

Abstract
The spread of Tuberculosis (TB) in Asian countries is mainly due to co-existence and close association of humans with elephants and other domestic livestock. Infected animals tend to shed the organism in the preclinical period which risks the transmission of the infection from animals to humans and vice-versa. Since tuberculosis infection is chronic and lack specific clinical signs, diagnosis remains challenging. Present study focus on the utilization of Lipoarabinomannan (LAM) a glycolipid for the detection of TB infection in elephants. Usage of urine as the biological sample for the diagnosis makes it more advantageous. Seroprevalence of tuberculosis (TB) in elephants in Kerala were found to be 37.2 per cent (n = 86) using Chembio DPP VetTB assay. Nine (10.46 per cent) out of 86 elephants were positive for AFB and 29 (33.7 per cent) out of 86 elephants were positive for LAM antigen. On comparison of efficiency of LF-LAM assay with that of DPP VetTB assay, LF-LAM assay had a sensitivity of 90.63 per cent, specificity 100 per cent, positive predictive value 100 per cent, negative predictive value 94.7 per cent, accuracy 95.51 per cent and kappa statistic value 0.924 (p - value < 0.001). On comparison of LF-LAM with traditional acid fast staining method, LF- LAM assay had the sensitivity of 100 per cent, specificity 74.03 per cent, positive predictive value 31 per cent, negative predictive value 100 per cent, accuracy 76.74 per cent and kappa statistic value 0.374 (p - value < 0.001). The presence of Mycobacterium tuberculosis was confirmed in trunk wash sample using PCR targeting gene IS6110, at 245bp amplicon size and 25 seropositive elephants (78.2 per cent) were confirmed positive. Custom sequencing and phylogenetic analysis revealed that the isolate obtained were Mycobacterium tuberculosis. This study in elephants prove that TB LAM Ag (LF-LAM) can be used as potent biomarker for diagnosis of tuberculosis in elephants,
The role of interface configuration on performance accuracy in eyes-free touchscreen interaction
Authors: Pooripanyakun Munyaporn , Wodehouse Andrew , Mehnen Jorn 
Published: October 2022

Abstract
This paper describes the exploration of a new category of a touchscreen interface. An eyes-free interface harnesses innate human abilities and product affordances to allow reduced levels of visual attention. Interface design for eyes-free interaction with a featureless screen is highly challenging; however, it can be achieved by simplifying and optimizing menu layout patterns to take advantage of innate human abilities including proprioception and spatial memory. This opens up a range of possibilities for peripheral device control under one-handed thumb mobile interaction. To this end, two experiments with different modes of presentation were conducted to understand the effect of interface configurations on performance accuracy caused by spatial memory and proprioception. Spatial performance results from the interaction effect of both cognitive abilities on an eyes-free interface. Vertical, horizontal, diagonal, and curved layouts with different spacing patterns have been tested in both tap and draw input modes. The results revealed that evenly spaced button alignment close to the reference frame with symmetrical patterns within a square interface area and a comfortable thumb range positively affect accuracy. The conclusions describe how alignment patterns and the mode of presentation affect visual perception and spatial integration, and a framework for the development of an eyes-free interface is set out.
Patient safety culture and its relationship with job satisfaction and adverse events among nurses working in emergency departments: A correlational descriptive study
Authors: Ramezani Hashem , Shahbazi Shahla , Gilani Neda , Shabanloei Reza 
Published: October 2022

Abstract
Background and Aim

Patient safety culture is an important factor in the effort to reduce adverse events in the hospital and promote patient safety. The aim of this study was to investigate the relationship between patient safety culture, job satisfaction and adverse events among nurses working in the emergency department of Tabriz hospitals.

Materials and Methods

The current research was cross-sectional descriptive correlational study, which was conducted with the participation of 180 nurses working in the emergency department of Tabriz teaching hospitals who were selected using the quota sampling method. To collect data, demographic information form, HSOPSC patient safety culture questionnaire and job satisfaction questionnaire and adverse events in the past year form were used.

Results

The highest mean of patient safety culture was related to the work team within the units and the lowest mean was related to the dimension of non-punitive response to errors. 78.9 percent of nurses never reported falling in the past year. Most of the study participants stated that in the past year, they never experienced side effects of drugs (62.2 percent), medication errors (69.4 percent), reactions to injections or blood transfusions (74.4 percent), and injury to the patient. during care (75.6 percent). The results of Pearson's correlation test showed that there was a positive and significant correlation between the total score of patient safety culture and job satisfaction. The results of logistic regression analysis showed that each dimension of patient safety culture significantly predicts at least one of the adverse events.

Conclusion

The findings of the present study showed that the culture of patient safety and job satisfaction among nurses participating in this study was at an average level and the incidence of unwanted incidents was high. In addition, the results showed that there is a direct relationship between patient safety culture and job satisfaction and adverse events.
Psychometric Evaluation of the Computerized Battery for Neuropsychological Evaluation of Children (BENCI) among School Aged Children in the Context of HIV in an Urban Kenyan Setting
Authors: Maina Rachel , He Jia , Abubakar Amina , Perez-Garcia Miguel , Kumar Manasi , Wicherts Jelte 
Published: October 2022

Abstract
Introduction. Culturally validated neurocognitive measures for children in Low- and Middle-Income Countries are important in the timely and correct identification of neurocognitive impairments. Such measures can inform development of interventions for children exposed to additional vulnerabilities like HIV infection. The Battery for Neuropsychological Evaluation of Children (BENCI) is an openly available, computerized neuropsychological battery specifically developed to evaluate neurocognitive impairment. This study adapted the BENCI and evaluated its reliability and validity in Kenya.
Methodology. The BENCI was adapted using translation and back-translation from Spanish to English language. The psychometric properties were evaluated in a case-control study of 328 children (aged 6 – 14 years) living with HIV and 260 children not living with HIV in Kenya. We assessed reliability, factor structure, and measurement invariance with respect to HIV. Additionally, we examined convergent validity of the BENCI using tests from the Kilifi Toolkit.
Results. Internal consistencies (0.49 < α < 0.97) and test-retest reliabilities (-.34 to .81) were sufficient-to-good for most of the subtests. Convergent validity was supported by significant correlations between the BENCI’s Verbal memory and Kilifi’s Verbal List Learning (r = .41), the BENCI’s Visual memory and Kilifi’s Verbal List Learning (r = .32) and the BENCI’s Planning total time test and Kilifi’s Tower Test (r = -.21) and the BENCI’s Abstract Reasoning test and Kilifi’s Raven’s Progressive Matrix (r = .21). The BENCI subtests highlighted meaningful differences between children living with HIV and those not living with HIV. After some minor adaptions, a confirmatory four-factor model consisting of flexibility, fluency, reasoning and working memory fitted well (χ2 =135.57, DF = 51, N = 604, p < .001, RMSEA = .052, CFI = .944, TLI =.914) and was partially scalar invariant between HIV positive and negative groups.
Conclusion. The English version of the BENCI formally translated for use in Kenya can be further adapted and integrated in clinical and research settings as a valid and reliable cognitive test battery.
Identification of miR-192 target genes in porcine endometrial epithelial cells based on miRNA pull-down
Authors: Li Qingchun , Gao Ruonan , Chen Yansen , Xie Su , Sun Xiaomei , Gong Hongbing , Sun Yishan , He Fan , Lu Shihao , Chen Xin , Qi Mengfan , Li Mingguo , Huang Tao 
Published: October 2022

Abstract
MicroRNAs (miRNAs)—a class of small endogenous non-coding RNAs—are widely involved in post-transcriptional gene regulation of numerous physiological processes. High-throughput sequencing revealed that the miR-192 expression level appeared to be significantly higher in the blood exosomes of sows at early gestation than that in non-pregnant sows. Furthermore, miR-192 was hypothesized to have a regulatory role in embryo implantation; however, the target genes involved in exerting the regulatory function of miR-192 required further elucidation.
Methods: In the present study, potential target genes of miR-192 in porcine endometrial epithelial cells (PEECs) were identified through biotin-labeled miRNA pull-down; functional and pathway enrichment analysis was performed via gene ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment. Bioinformatic analyses were concurrently used to predict the potential target genes associated with sow embryo implantation. In addition, double luciferase reporter vectors, reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR), and Western blot were performed to verify the targeting and regulatory roles of the abovementioned target genes.
Results: A total of 1688 differentially expressed mRNAs were identified via miRNA pull-down. Through RT-qPCR, the accuracy of the sequencing data was verified. In the bioinformatics analysis, potential target genes of miR-192 appeared to form a dense inter-regulatory network and regulated multiple signaling pathways, such as metabolic pathways and the PI3K-Akt, MAPKs, and mTOR signaling pathways, that are relevant to the mammalian embryo implantation process. In addition, CSK (C-terminal Src kinase) and YY1 (Yin-Yang-1) were predicted to be potential candidates, and we validated that miR-192 directly targets and suppresses the expression of the CSK and YY1 genes.
Conclusion: We screened 1688 potential target genes of miR-192 were screened, and CSK and YY1 were identified as miR-192 target genes. The outcomes of the present study provide novel insights into the regulatory mechanism of porcine embryo implantation and the identification of miRNA target genes.
Biological characterization of natural peptide BcI-1003 from Boana cordobae (anura): role in Alzheimer’s Disease and microbial infections.
Authors: Spinelli Roque , Humpola Maria Veronica , Sanchis Ivan , Mendez Emilse de los Angeles , Siano Alvaro Sebastian 
Published: October 2022

Abstract
Nature continues to be one of the most important sources of molecules for the development of novel therapeutic agents. The skin of anuran’s (frogs and toads) is a rich source of peptides with a great importance in the search of bioactive agents applying to human health. Alzheimer's disease (AD) is a complex disease associated with numerous pathological pathways, making their simultaneous modulation necessary. On the other hand, the increasing bacterial resistance against conventional antibiotics has made it essential to search for new antimicrobial drugs with different modes of action. Here in we report the natural peptide BcI-1003, isolated from Boana cordobae amphibian skin, as an agent capable to act on three key therapeutic targets of AD, inhibiting the activity of BChE (IC50 = 669 µM) and MAO-B (IC50 = 570 µM) enzymes, and showing a powerful and rapid antioxidant activity (EC50 = 7.24 µM). Besides, BcI-1003 showed antimicrobial activity against clinically drug-resistant gram-positive and gram-negative bacterial strains, with MIC values ranging from 8 to 127 µM against Staphylococcus aureus MR-1; S. aureus MR-2 and Escherichia coli MDR-1.
An urgent health problem of indoor air pollution: results from a 15-years carbon monoxide poisoning observed study in Jinan City
Authors: Li Mingjun , Shan Bing , Peng Xiumiao , Chang Huiyun , Cui Liangliang 
Published: October 2022

Abstract
Carbon monoxide (CO) poisoning is a public health concern in developing countries especially in China with a high disease burden. We aimed to focus on non-occupational CO poisoning caused by household coal heating secular trends based on registry data in Jinan, China, and we aim to provide further evidence and suggestions for public health policy. We analyzed the occurrence and development trend and assess the spatial-temporal epidemiological characteristics of non-occupational CO poisoning caused by household coal heating in Jinan between 2007 and 2021. Among total of 6588 CO poisoning, 5616 cases (85.25%) and 180 deaths caused by household coal heating was identified during study period. The cumulative incidence rate was 5.78 per 100,000 person-years and the mortality rate was 0.19 per 100,000 person-years. The incidence in urban areas was higher than rural areas. The poisoning time point mainly occurs in the sleep stage. In Jinan, socioeconomic status, accessibility to health services and rural status are determinants for CO poisoning incidence and mortality. Implementation of urban and rural central heating renovation is an effective way to further reduce the disease burden of CO poisoning in the future.
SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment Analysis
Authors: yong qian , chen chen , wang zhong qin , xiao rong , tang haihong 
Published: October 2022

Abstract
Previous studies show effective of pre-trained language models for sentiment analysis. However, most of these studies ignore the importance of sentimental information for pre-trained models.Therefore, we fully investigate the sentimental information for pre-trained models and enhance pre-trained language models with semantic graphs for sentiment analysis.In particular, we introduce Semantic Graphs based Pre-training(SGPT) using semantic graphs to obtain synonym knowledge for aspect-sentiment pairs and similar aspect/sentiment terms.We then optimize the pre-trained language model with the semantic graphs.Empirical studies on several downstream tasks show that proposed model outperforms strong pre-trained baselines. The results also show the effectiveness of proposed semantic graphs for pre-trained model.
Information Criteria Based Partitioned Iterative X-means Dice Correlation Clustering Algorithm for Big Geo-social Data
Authors: Sreeku Anoop , Abraham Sam , . Premalatha , . Cincy , U Aswathy S , Stephen Divya 
Published: October 2022

Abstract
Geo-social data is location-based social media data which is generated by people on social network (i.e. face book, twitter etc.,) that is related to specific locations. There are lot of social users who are generates very large amount of data called “Big Data” that is difficult to be analyzed and make real-time decisions. Few research works have been designed for clustering geo-social data using different techniques. However, clustering performance of conventional algorithms was not higher to exactly find frequently visited location of users in social network when taking big geo-social dataset as input. In order to overcome such drawbacks, a Focused Information Criterion based Partitioned Iterative X-means Dice Correlation Data Clustering (FIC-PIXDCDC) Method is proposed in this work. The FIC-PIXDCDC Method groups the similar geo-social data with higher accuracy and lesser time. In FIC-PIXDCDC method, geo-social data (i.e., user, location and time) from Weeplaces dataset is initially taken as an input. After obtaining input, FIC-PIXDCDC method chooses number of clusters and centroids randomly. Then, FIC-PIXDCDC calculates dice correlation between each input geo-social data and cluster centroids. Subsequently, FIC-PIXDCDC method applies Focused Information Criterion to construct optimal number of clusters for a given big dataset. This process of FIC-PIXDCDC method is repetitive until no deviation in cluster centroids. Appropriately, FIC-PIXDCDC strategy group's interrelated geo-social information along with accuracy at higher rate and lower time to accurately find area's data of regularly visited clients in social network. Trial assessment of FIC-PIXDCDC strategy is completed on elements, for example, clustering time, clustering precision, error rate as for number of geo-social information.
Platycodon grandiflorus saponin alleviates MSU-induced gouty arthritis based on NLRP3/ASC/caspase-1 pathway
Authors: sun ping , Liu Yang , Zhang Tingting , Wang Shanshan , Huang Yanhong , Li Zerun , Nie Yupeng , xu hui , Liu Jianjun 
Published: October 2022

Abstract
Platycodon grandiflorus is a homologous material of traditional medicine and food. Besides a pickle, more importantly, it can also be used in traditional Chinese medicine as an alternative to modern western. Various studies have found that saponins in Platycodon grandiflorus (PGS) can play a role in different diseases (including liver cancer, lung cancer, cardiovascular and cerebrovascular diseases) as the main chemical constituents. However, studies on the treatment of gout arthritis by PGS are not reported, and the mechanism has not been speculated and elucidated systematically. This study describes the anti-inflammatory agent of PGS in treating gouty arthritis by characterizing the degree of joint swelling, inflammatory factors (IL-6, IL-1β, TNF-α), peroxides (SOD, MDA, GSH-PX), histopathology and related proteins. The results show that when MSU is injected into the joint, it activates the NLRP3 protein to bind to caspase-1 via ASC to form the NLRP3 inflammatory conjugate, which undergoes a series of changes to promote the release of inflammatory factors causing joint swelling and pain. Therefore, the same as colchicine, PGS can effectively reduce the swelling degree, level of inflammatory factors, and related protein expression while diminishing oxidative stress levels. This study lays the foundation for treating gout arthritis by PGS.