bluuebunny/crossref_metadata_2025_split huggingface dataset:
LncRNA Airn alleviates diabetic cardiac fibrosis by inhibiting activation of cardiac fibroblasts via a m6A-IMP2-p53 axis
Authors: Peng Tingwei , Liu Mingchuan , Hu Lang , guo Dong , Wang Di , Qi Bingchao , Ren Gaotong , Hu Chenchen , Zhang Feng , Chun Hyung J. , Hu Jianqiang , Song Liqiang , Li Yan 
Published: June 2022

Abstract
Background
Cardiac fibrosis is a leading cause of cardiac dysfunction in patients with diabetic cardiomyopathy (DCM), leading to early impaired myocardial compliance and late heart failure. However, the underlying mechanism remains largely unclear. This study aims to investigate the role of LncRNA Airn in the pathogenesis of cardiac fibrosis in DCM and its underlying mechanism.
Methods
Diabetic mellitus were induced by streptozotocin (STZ) injection. Intramyocardial adeno-associated virus (AAV) was employed to manipulate Airn expression. Multiple approaches including echocardiography, m6A-RNA immunoprecipitation, RNA pull-down and RNA-FISH staining were performed in-vivo and in-vitro.
Results
Airn was significantly lower in the hearts of diabetic mice, accompanied by evident cardiac dysfunction. AAV-mediated Airn overexpression restored cardiac function and prevented cardiac fibrosis in diabetic mice. During the in-vitro experiments, Airn exerted its anti-fibrogenesis effects in HG-treated cardiac fibroblasts (CFs) by reducing the expression of cardiac fibrotic markers and inhibiting CFs proliferation. Mechanistically, RNA pull-down and RIP assays indicated that Airn bond to insulin-like growth factor 2 mRNA-binding protein2 (IMP2) and prevented its ubiquitination-dependent degradation. Further analyze revealed Airn/IMP2 identified the m6A modification in p53 mRNA and protected p53 mRNA from degradation, leading to CFs cell cycle arrest and reduced cardiac fibrosis. In contrast, Ablation of p53 blunted the inhibitory effects of Airn on fibroblasts activation.
Conclusions
Our study demonstrated for the first time that LncRNA Airn prevented the development of cardiac fibrosis in diabetic heart via a m6A-IMP2-p53 axis. LncRNA Airn could be a promising therapeutic target for cardiac fibrosis in DCM.
MaMiPot: A Paradigm Shift for the Classification of Imbalanced Data
Authors: Zefrehi Hossein Ghaderi , Altınçay Hakan 
Published: June 2022

Abstract
The most frequently used approach for imbalance learning is resampling. In this technique, the minority class is oversampled. Most of the algorithms used for this purpose are variants of the well-known algorithm named as SMOTE, which is based on creating synthetic samples on the lines connecting selected minority instances. The variants are mainly designed to alleviate the shortcomings of SMOTE where, the idea of generating synthetic samples to avoid the bias on the majority class is preserved. This study aims at following a different path. Instead of balancing, the proposed approach is based on repositioning the samples. In particular, the classifier is enforced to learn the decision regions of the minority class by repositioning the majority class samples. Consequently, the regions in which positive instances exist will not be outnumbered the majority class samples. Hence the classifier labels these regions as the minority class. To tackle the noisy instances, the minority samples are repositioned, but only slightly to avoid distorting the original distribution. The potential of the proposed repositioning scheme is also evaluated as a preprocessing algorithm for SMOTE. The experiments that are conducted on 52 datasets from the KEEL repository have shown that the proposed approach is highly effective, when evaluated in terms of F-score, G-mean and AUC.
Experimental study on liquid sloshing of a vane type surface tension tank for satellite
Authors: Liu Jintao , Li Yong , Li Wen , Qu Zhen , Cai Kun , Chen Lei , Yang Nanji 
Published: June 2022

Abstract
Experiment research on liquid sloshing performance of a vane type tank used in high orbit satellite is carried out. The liquid sloshing tests of the tank without propellant management device (PMD) are developed under different liquid filling ratios. Experimental test results are in good agreement with theoretical results, which shows the reliability of test system. Liquid sloshing tests of the tank with PMD are performed with different directions and liquid filling ratios. There has a linear relationship between sloshing frequency and liquid filling ratio of vertical installation test when the liquid-gas interface is in the hemisphere. When the gas-liquid interface is in the cylindrical section, the sloshing frequency of vertical installation test remains basically unchanged. The inverted conical accumulator structure of PMD can increases the damping in the tank of vertical installation. The sloshing mass for vertical direction is less than the result of horizontal direction. Liquid sloshing results of the vane type propellant tank will provide a guidance for the design of spacecraft structure and control system.
Transcriptional activation of Mink Enteritis Virus VP2 by the C-terminal of MEV NS1 protein
Authors: Xie Qianqian , Wang Jigui , Liu Ying , Su Jun , Gu Chenchen , Wu Jing , Xiao Jun , Liu Weiquan 
Published: June 2022

Abstract
Mink enteritis virus (MEV) NS1 is a multidomain and multifunctional protein containing origin binding, helicase and transactivation domains. In particular, parvoviral NS1 proteins are transactivators of the viral capsid protein promoter although the manner by which they exert these transactivation effects remained unclear. In this study, the region of the transactivation domain of the NS1 C-terminal was found located at aa 557 ~ 668 and any deletion within this region reduced the transactivation activity. A dominant negative mutation of the 63 aa deletion in the C-terminal of NS1 protein resulted in loss of ability to activate P38 and VP2-5’UTR in a dual-luciferase reporter assay system, a VP2 protein expression system, and within the whole MEV genome, independent of downstream genes. Additionally, a full-length MEV clone deficient in its NS1 C-terminal failed to rescue the virus, possibly due to the loss of integrity of DNA sequences interacting with NS1 protein, and expression of VP2 was also inhibited even when normal NS1 protein was supplied in trans.
Construction of high density genetic map and QTL mapping in a sorghum Tx623A×sudangrass S722 population
Authors: Tu Wenmiao , Wang Lihua , Jin Peng , Meng Ruirui , Zheng Jian , Liu Yanlong , Wang Yi-Hong , Li Jieqin 
Published: June 2022

Abstract
Sorghum-sudanense is a hybrid of sorghum and Sudanese grass and is widely used in animal husbandry and aquaculture because of its high yield, excellent quality and wide adaptability. Its total fresh biomass yield, fresh biomass yield at each cut and nutritional quality are better than their parents. Using high-throughput sequencing, we constructed a high-density genetic map of sorghum Tx623A×sudangrass S722 with 103 recombinant inbred lines (RIL) in this study and mapped quantitative trait loci (QTLs) for plant height (PH), stem diameter (SD), tiller number (TN), fresh weight (FW) and dry weight per plant (DW). The map included 1,610 markers with a total length of 2,329 cM and QTL mapping identified 19 QTLs, including two for PH, three for SD, four for TN, four for FW and five for DW. We detected two QTL clusters containing overlapping QTLs for PH, FW and DW. Orthologs of three SD candidate genes from maize were found within two SD QTLs. The identification of these QTLs will be useful for dissecting important traits and developing marker-assisted selection (MAS) in future sorghum breeding programs.
Enhanced oil-spill removal and recovery from water bodies using diatomaceous earth and C18-silane grafted polyurethane
Authors: Perera Helanka J. , Goyal Anjali , Banu Hussaina , Alhassan Saeed M. 
Published: June 2022

Abstract
This research focuses on novel synthesis of polyurethane (PU) foam surface functionalized with diatomaceous earth (DE) particles and non-fluoro octadecylsilane (C18), intended to improve the hydrophobicity and wettability of the PU foam, in order to evaluate its potential use in enhanced clean-up of oil spill contaminants from water. The modified PU foam has been characterized by scanning electron microscopy to understand the microstructural changes during the surface modifications, Fourier transform infrared spectroscopy to track the integration of functional groups, X-ray Crystallographic study to indicate the increase in the crystallinity of the resultant foam due to the incorporation of silane and thermogravimetric analysis to understand the thermal stability and to calculate the thermal mass loss during the chemical modification. Furthermore, to test the enhanced hydrophobicity and oil spill clearance from water, the water contact angle has been measured and crude oil absorption capacity has been tested. The results show increased water repellency attributed to the strong hydrophobicity, and about 2.13 folds of increased crude oil absorption in comparison to the unmodified PU foam. Hence, the results collectively suggest the use of the synthesized surface-modified PU foam with superior hydrophobicity, water repellence and surface wettability as a potential candidate for enhanced crude oil absorption from water bodies.
Private Anomaly Detection of Student Health Conditions based on Wearable Sensors in Mobile Cloud Computing
Authors: Xie Yu , Zhang Kuilin , Kou Huaizhen , Mokarram Mohammad Jafar 
Published: June 2022

Abstract
With the continuous spread of COVID-19 virus, how to guarantee the healthy living of people especially the students who are of relative weak physique is becoming a key research issue of significant values. Specifically, precise recognition of the anomaly in student health conditions is beneficial to the quick discovery of potential patients. However, there are so many students in each school that the education managers cannot know about the health conditions of students in a real-time manner and accurately recognize the possible anomaly among students quickly. Fortunately, the quick development of mobile cloud computing technologies and wearable sensors has provided a promising way to monitor the real-time health conditions of students and find out the anomalies timely. However, two challenges are present in the above anomaly detection issue. First, the health data monitored by massive wearable sensors are often massive and updated frequently, which probably leads to high sensor-cloud transmission cost for anomaly detection. Second, the health data of students are often sensitive enough, which probably impedes the integration of health data in cloud environment even renders the health data-based anomaly detection infeasible. In view of these challenges, we propose a time-efficient and privacy-aware anomaly detection solution for students with wearable sensors in mobile cloud computing environment. At last, we validate the effectiveness and efficiency of our work via a set of simulated experiments.
Inadequate Proximal Screw Fixation Increases Risk of Failure Following Plate Fixation of Diaphyseal Humerus Fractures
Authors: Mistry Manisha , Tat Jimmy , Husain Rafi , Richards Robin , Sheth Ujash , Nam Diane 
Published: June 2022

Abstract
Background: Operative treatment of humeral shaft fractures (AO/OTA 12) is being performed more frequently. Accordingly, it is important to understand the complications associated with operative fixation. This study analyzes risk factors associated with mechanical failure following plate fixation of humeral shaft fractures in order to further elucidate the mode and location of failure. Methods: A retrospective review of 351 humeral shaft fractures was completed at a single level I trauma center. Eleven of eighty-five humeral shaft fractures had aseptic mechanical failure requiring revision (12.9%), following initial plate fixation. Fracture characteristics (AO type, comminution, location) and fracture fixation (plate type, multiplanar, number of screws proximal and distal to the fracture) were compared between aseptic mechanical failure and those without failure. A forward stepwise logistic regression analysis was performed to determine any significant predictors of aseptic mechanical failure.Results: There was significant differences in fixation between the aseptic mechanical failure group and those without failure, specifically in the number of screws for proximal fixation (p=0.008) and distal fixation (p=0.040). In the aseptic mechanical failure group, patients tended to have less than <8 cortices of proximal fixation (82%) and less than <8 cortices of distal fixation (64%). Conversely, in patients without mechanical failure there was a tendency to have greater than >8 cortices in both the proximal (62%) and distal fixation (70%). A forward stepwise logistic regression analysis found that less than <8 cortices of proximal fixation was a significant predictor of aseptic failure, OR 7.96 (P = 0.011). We think this can be accounted for due to the variable bone quality, thinner cortices and multiple torsional forces in the proximal shaft that may warrant special consideration for fixation.Discussion: The current dogma of humeral shaft fracture stabilization is to use a minimum of 3 screws proximal and distal to the fracture, however the current study demonstrates this is associated with higher rates of mechanical failure. In contrast, constructs with 4 bicortical screws or more of fixation on either side of the fracture had lower failure rates and may help to reduce the risk of mechanical failure. Level of Evidence: Level III
A symmetric-difference-closed orthomodular lattice that is stateless
Authors: Voráček Václav , Pták Pavel 
Published: June 2022

Abstract
This paper carries on the investigation of the orthomodular lattices that are endowed with a symmetric difference. Let us call them ODLs. Note that the ODLs may have a certain bearing on “quantum logics”-the ODLs are close to Boolean algebras though they capture the phenomenon of non-compatibility. The initial question in studying the state space of the ODLs is whether the state space can be poor. This question is of a purely combinatorial nature. In this note, we exhibit a finite ODL whose state space is empty (respectively, whose state space is a singleton).
Adaptive Control for the Nonlinear Event-triggered Networked Control System: A Decoupling Method
Authors: He Chao , Liu Sanyang , Li Junmin , Wang Jiaxian 
Published: June 2022

Abstract
In this paper, the adaptive control for a kind of nonlinear system over the event driven sensors-controller communication network is addressed. Over this network, the existing strategy has been developed. However, the event-triggered mechanism and adaptive estimators are coupled together which results in extra information delivery of the adaptive estimators over the network or extra computation equipment on the sensor side. To overcome this limitations, two kinds of adaptive control strategies are proposed in this paper. At first, the control strategy with the new event-triggered adaptive estimator is developed for the system without external disturbances where the event-triggered mechanism doesn't need the information of the adaptive estimators. It is proved that the closed-loop system is asymptotically stable and the Zeno behaviour is excluded. Furthermore, for the system with external disturbances, a robust control scheme with modified adaptive estimator and event-triggered mechanism is proposed and the practical stability of the closed-loop system is guaranteed. Also, the Zeno behaviour is excluded carefully. Comparing with the existing results, due to the decoupling structure of event-triggered mechanism and adaptive estimators, it is unnecessary to transfer the estimators' information to the event-triggered mechanism on the sensor side which saves the communication cost. What's more, although the system state is sampled and event driven, the asymptotical stability is still guaranteed. Also, the developed strategy can handle with the external disturbances. Finally, two examples are performed to illustrate the effectiveness of the schemes and some comparisons are displayed to explain the advantages of the methods.
Diagnostic accuracy of pleural effusion hyaluronic acid for malignant pleural mesothelioma: A systematic review and meta-analysis
Authors: Okuno Takehiro , Shiroshita Akihiro , Shibata Yusaku , Ishida Koichi , Suzuki Hokuto , Nakashima Kiyoshi , Mutrata Yasunori , Takeshita Masafumi 
Published: June 2022

Abstract
Background
The diagnosis of malignant pleural mesothelioma (MPM) is generally difficult, and no single biomarker has been established. Hyaluronic acid (HA) is highly elevated in MPM and could thus be a diagnostic biomarker. However, to our best knowledge, no systematic review has evaluated the diagnostic accuracy of pleural HA. This systematic review aimed to evaluate the diagnostic accuracy of pleural effusion HA for MPM.
Methods
We searched MEDLINE via OVID, Embase via Embase.com, Central, and the International Clinical Trials Registry Platform databases for relevant articles. Prospective, retrospective, and case-control studies that assessed the sensitivity and specificity of pleural effusion HA for MPA diagnosis were included. The exclusion criteria were review articles, case reports, and animal studies. The quality of the included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Forest plots were generated to summarize the sensitivity and specificity of HA in each included study. In addition, the pooled sensitivity and specificity of HA for MPA diagnosis was calculated using a bivariate random effects model.
Results
Overall, 6 studies involving 1,548 patients were included. There was a high risk of bias because 83% of the included studies had a case-control design. The pooled sensitivity and specificity were 50% (95% CI: 40–59%) and 97% (95% CI: 93–99%), respectively. We could not obtain a reliable estimate of the 95% confidence region or 95% prediction region because of the small sample sizes of the included studies.
Conclusions
Although HA in pleural effusion might have low sensitivity and high specificity for MPM diagnosis, we could not draw a valid conclusion because of the high risk of bias and small sample size. Further large-scale retrospective cohort studies are needed to more accurately estimate its sensitivity and specificity.
Single Cell Genetic Analysis of COVID-19: A Deep Learning Approach
Authors: Schonfeld Elan 
Published: June 2022

Abstract
COVID-19 was declared by the World Health Organization in 2020 to be a pandemic. Analysis of COVID-19 related genetic pathways allows for a better understanding of the possible effects and sequelae of the disease. Using 6178 scRNA sequenced human cells, having a status of control/mild/severe COVID-19 disease status, differential expression of genes and pathways was analyzed. Using Gene Set Enrichment Analysis (GSEA), mild COVID-19 was found to over-express the Influenza Pathway. In order to identify genes important in COVID-19 severity, a deep learning classifier was trained. Classifiers were repeatedly trained for this task using 10 randomly selected genes from the total number of 18,958 genes. The highest performing classifier (AUC=0.748) was trained using: AC008626.1, SGO1, RHOBTB2, RBM41, NDUFAF4P1, COX5A, ZDHHC17, STX11, IPP, NUDT5 genes. These results further illustrate the other factors contributing to mild versus severe COVID-19, as well as evidence of potential misdiagnosis or overlapping pathway effects of Influenza and COVID-19.
Assessment of Mental Health and Quality of Life among University Students during Covid-19 Pandemic in Malaysia, 2021
Authors: Kyaw Thin Mon Kyaw , Khiruddin Adhwa Husna Binti Muhammad Khiruddin Muhammad , Zulkarnain Amirul Mukmin Bin Muhamad Zulkarnain Muhamad , Hamzah Trisya Amanda Bt Hamzah , Ibrahim Aisyah Nurlyana Bt Ibrahim 
Published: June 2022

Abstract
Background
This research is conducted to know Malaysian university student’s mental health status and their quality of life during this COVID-19 pandemic in Malaysia, 2021. This study aims to associate sociodemographic background, paranoia level and resilience level with quality life. Quality of life is the general well-being of individuals whereas paranoia is the thought process that causes irrational suspicion or mistrust, and resilient is the ability of an individual able to adapt in faced the trouble.
Methods
The study was carried in the form of questionnaire that consisted of items on sociodemographic information, paranoia and resilience level and quality of life status. Sample population of 653 respondents were collected from both private and public universities. Data were later analyzed in frequencies and percentages, Chi-square test and as well as binary logistic regression (BLR).
Results
We found that the relation between QOL with resilience and paranoia. Normal (AOR 2.55) and high resilience (AOR = 2.75) people showing have higher quality of life while people with severe Paranoia (AOR 0.538) were less likely to have good Quality of life than those who reported with moderate paranoia. The most significant result indicates that high levels of resilience was associated with good QoL while student with moderate to severe paranoia will have low QoL.
Conclusion
As a result, university students from different sociodemographic background with high resilience and low paranoia level will have good quality of life. This study recommends future study to consider and investigate external factors that could affect this study’s outcome.
Using β-galactosidase and Novel Probiotic Strains to Formulate Lactose-Free Acidophilus Milk Fortified with Cocoa Powder
Authors: Islam Md Zakirul , Akhter Sharmin , Liza Ruckshana Islam , Sojib Md. Shahriar Islam , Hasan Md. Sayed , Habib Raihan , Harun-ur-Rashid Md. 
Published: June 2022

Abstract
The study was investigated to develop the lactose-free probiotic acidophilus milk (PAM) enriched with novel probiotic strains (Lactobacillus acidophilus LDMB01, Lactococcus lactis LDMB10, and Streptococcus thermophilus LDMB09), as well as fortified with cocoa powder. The physicochemical, microbiological, and sensory analyses were performed to see how the formulations worked. Two probiotic acidophilus milk formulations were made with β-galactosidase lactose hydrolysis, one with cocoa (5% m/v). A constant sugar level of 5% was used. The lactose-free acidophilus milk did not differ in acid content and showed values below 0.1% for lactose. The incorporation of cocoa in the PAM provided higher initial pH values reduced with the storage period and higher syneresis values throughout 28 days of storage. In addition, the probiotic bacteria showed high viability during storage, with counts above 7 log CFU/mL. In terms of sensory evaluation, most judges assigned both products an overall acceptability score of 8 for the characteristics (appearance, aroma, taste, texture, and overall acceptance). On the other hand, the sample containing cocoa achieved higher mean scores for appearance and texture. As a result, these products have much potential for industrial use, especially for lactose-intolerant people.