bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction of a ceRNA network reveals functional lncRNAs in left ventricular noncompaction through weighted gene co-expression network analysis
Authors: Kan Jun-Yan , Zhang Chong-Yi , Qu Qiang , Wang Ru-Xing 
Published: July 2022

Abstract
Background
Left ventricular noncompaction (LVNC) is a rare genetic cardiomyopathy. Lack of biomarkers and insights into epigenetic mechanism limits its screening, diagnosis and therapy. This study aimed to delineate the lncRNA-miRNA-mRNA interaction underlying LVNC through weighted gene co-expression network analysis (WGCNA) and construction of a competing endogenous RNA (ceRNA) network.
Methods
By analyzing microarray data from GSE178582, we acquired lncRNA and mRNA expression profiling in LVNC. Differentially expressed lncRNAs and mRNAs were identified using R package “limma”. Gene set enrichment analysis (GSEA) was conducted to detect biological function alteration in LVNC. We performed WGCNA to pick cardinal gene modules in LVNC and supplemented enrichmsent annotation based on mRNA modules. Interactions of lncRNA-miRNA and miRNA-mRNA were respectively predicted by LncBase and miRTarBase. In comprehensive consideration of expression change, gene clustering results and database prediction, we constructed a ceRNA network and visualized the lncRNA-miRNA-mRNA interaction. Then, a subnetwork centered on hub genes was extracted.
Results
2452 mRNAs (1275 upregulated and 1177 downregulated) and 1415 lncRNAs (839 upregulated and 576 downregulated) were differentially expressed between LVNC patients and healthy controls. Enriched pathways involved acute myeloid leukemia, bile secretion, thyroid hormone synthesis etc. A ceRNA network with 3 lncRNAs, 5miRNAs and 106 mRNAs was constructed. Furthermore, we identified 9 hub mRNAs and visualized their lncRNA-miRNA-mRNA subnetwork.
Conclusions
The ceRNA regulatory network participates in the pathogenesis of LVNC, and identified hub genes may be potential targets for intervention and biomarkers to screen LVNC patients.
Volume-based and Surface-Based Methods in Autism compared with Healthy Controls; Are Freesurfer and CAT12 in Agreement?
Authors: Faraji Reyhane , Ganji Zohreh , Alreza Zahra Khandan Khadem , Akbari-Lalimi Hossein , Zare Hoda 
Published: July 2022

Abstract
Background: Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders. Early detection is critical. Common structural biomarkers are obtained using the Freesurfer and CAT12 approach. This study aim is to identify ROIs with significant differences between healthy and autism groups, then to evaluate the compatibility of the two methods, Freesurfer and CAT12.Methods: In this study, the region of interest (ROI)-wise biomarkers were estimated by surface-based and volume-based features extracted from Freesurfer software and CAT12 toolbox for SPM, respectively. These biomarkers were then compared between 18 TDCs from the analysis, and 40 sex-matched subjects with Autism Spectrum Disorder (ASD) were used to assess the potential for detecting group differences for each method. Finally, regression and agreement were performed between the two methods for TDCs and ASD groups.Results: In both methods, some ROIs were obtained for each parameter with significant differences. According to the p-value obtained for both TDCs and ASD groups, there is a significant relationship between the two methods (p<0.001), and according to the R2 value for TDCs and ASD groups, 0.692 and 0.680, respectively. An average correlation was observed between CAT12 and FS6. Matching to Bland-Altman graphs, the moderate agreement between the two methods was reported.Conclusion: Due to the agreement and moderate correlation between the two methods in this study, method CAT12 cannot be a superior alternative to FS6 software.
Phononic second-order topological phase on realistic material C3N
Authors: Zhou Pan , Huang Fenfen , Li Wenqi , Ma Zengsheng , He Shenda , Sun L.Z 
Published: July 2022

Abstract
Second-order topological states in the artificial systems have been extensively studied, but the study in the phonons of atomic vibrations has been limited. In this paper, we propose that a phononic two-order topological phase can be realized in two-dimensional C3N, a previously synthesized and intensively investigated two-dimensional material, and its nontrivial phase arises from the mismatch between the Wannier center of the out-of-plane phonon modes and the atomic positions. Using a simplified force constant model, we find that gapped edge states and in-gap corner states can only exist on the structures with broken-pure-carbon-ring terminations, and this unexpected phenomenon can be explained by the electron-like filling anomaly for phonons. Further calculations reveal that these corner modes are robust to external disturbances. The nontrivial phononic phase in C3N provides an avenue in crystal for exploring higher-order topological phases in Bose systems.
TwinNet: A Symmetrically Structured Convolutional Architecture for Identifying Tibetan Characters
Authors: Hao Yusheng , Wang Weilan , Lin Qiang , Lu Yulan 
Published: July 2022

Abstract
Although the Tibetan language is widely used, its intelligent application is seriously lagging behind. Most studies on character recognition have almost ignored minority languages like Tibetan. For the purpose of recognizing Tibetan characters, a convolutional architecture named TwinNet is proposed in this work. Specifically, two parallel convolutional sub-networks sharing the same parameters were firstly carefully designed and connected using an energy function, thus achieving Tibetan character recognition via one-shot verification task based on similarity metric. Second, a fuzzy c-means clustering module based on statistical laws of Tibetan characters was integrated into the pipeline of TwinNet, thus greatly reducing the search space at the recognition stage. Third, a Tibetan similar character dataset (TSCD) is constructed after sufficient amount of mining and analysis work, providing data support for training supervised models. The results of binary classification experiment demonstrate that TwinNet can differentiate the similar and dissimilar image pairs with a recall of 0.92, a precision of 0.89, an accuracy of 0.90, an F-1 score of 0.90 and a Kappa coefficient of 0.82. Furthermore, the consistency between the output TwinNet and the subjective evaluation by Tibetan-speaking volunteers is also evaluated. The experimental results support the idea that the similarity evaluation of Tibetan characters by TwinNet is highly consistent with that of humans, the indicator of SROCC, PLCC and RMSE are 0.68, 0.84 and 0.04, respectively. The results of character recognition experiments based on one-shot verification task show that the improved model with the integration of the fuzzy c-means clustering module has an average accuracy of 92% for regular characters and 80% for severely deformed characters.
A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter
Authors: Liu Qi , Zeng Lei , Liu Xiaodong , Sun Jiawei , Zhang Yonghong 
Published: July 2022

Abstract
In recent years, supply chain management has become an incrementally vital part of industrial sectors, which affects the service quality and production efficiency of relevant enterprises. With the rapid development of cloud computing technology, a distributed datacenter plays a vital role in supply chain management of many infrastructures but suffers from high energy consumption and low service efficiency due to heavy allocation of massive calculation and analysis tasks. In this paper, an efficient multi-swarm particle swarm optimization approach is proposed based on load balancing. Both makespan and completion time variances of all resources have been minimized. An initialization scheme is also presented concerning the convergence rate and adaptive inertia weights. An open dataset from an Alibaba datacenter has been employed to resolve the uneven load events caused by inefficient supply chain arrangement between distributed tasks and resources. Two criteria, makespan and response time during task scheduling have been chosen for performance evaluation. According to the results, the proposed work can improve task scheduling efficiency and sustainability in distributed datacenters supporting diverse supply chain environments.
Nuclear localization signal peptides enhance genetic transformation of Dunaliella salina
Authors: Feng Shuying , Hu Lina , Li Aifang , Li shuxuan , Li yalan , Niu chunling , wang Baiyan , Yin Sugai , Guo Tao 
Published: July 2022

Abstract
Dunaliella salina (D. salina) expression system shows a very attractive application prospect, but it currently has a technical bottleneck, namely the low or unstable expression of recombinant proteins. Given the characteristics of cell-penetrating peptides (CPPs) or/and nuclear localization signal (NLS) peptides, this study firstly attempted to improve the transformation rate of foreign gene with trans-activating transcriptional (TAT) protein or/and NLS peptides. Using salt gradient method, exogenous plasmids were transferred into D. salina cells with TAT or TAT/NLS complexes simultaneously. The β-glucuronidase (GUS) gene expression was identified by means of histochemical stain and RT-qPCR detection. Through observation with light microscope, TAT-mediating cells exhibit an apparent cytotoxicity even at ratios of 0.5, no significant toxicity was noted in the TAT/plasmid/NLS complex group. It is obvious that with the addition of peptides the toxicity decreases significantly. Histochemical staining showed that the transformants presented blue color. under light microscope, but the negative control and blank control are not. Furthermore, based on a TAT/plasmids ratio of 4 with 10 µg NLS peptides mediation, RT-qPCR results demonstrated that the transcripts of target gene were increased by 269 times than that of control group. Collectively, this study demonstrated that combination of TAT and NLS peptides can significantly improve the transformation rate and expression level of foreign gene in D. salina system. It offers a promising way for promoting the application and development of D. salina bioreactor.
New fixed point theorems andcharacterization of the continuity inColombeau algebra
Authors: Taqbibt Abdellah , Chaib Mohamed , Melliani Said 
Published: July 2022

Abstract
In the present article, we investigate a new concept of fixedpoint theorems in the framework of Colombeau algebra of gen-eralized funtions. introduce a characterisation of the continuity of some C−linear maps, We gave another representation of the contraction of the maps among Colombian algebras.In addition, wehave given a general frame of fixed-point theorems in the clas-sic: the fixed point theorems of Banach, Kannan and Chatterjea.We concluded the applicability of these results by an application.
The effect of tooth size on the dimensional accuracy of three types of intraoral scanners
Authors: Shayegh Sayed Shojaedin , Kargar Kamran 
Published: July 2022

Abstract
Background: Digital impressions by intraoral scanning (IOS) have become an increasingly popular alternative to conventional impressions. From previous studies, scanning systems, scanner acquisition process, and powder application do not appear to be major influencing factors on accuracy of IOS. Studies revealed multiple variables that can influence accuracy of IOS, such as span length and surface morphology. There is evidence that smooth surfaces are easier to capture by light scanners than irregular and corrugated surfaces. Another influential factor affecting scan results is tooth dimensions that previous studies have not studied. This laboratory study aimed to evaluate the accuracy of IOS based on effect of tooth size on dimensional accuracy recorded by three types of scanners.
Materials and methods: Samples of this study include two gypsum and ceramic dies from canine and molar acrylic teeth. All-ceramic restoration standard guidelines have prepared samples. For gypsum dies, digital impressions were made by an Open Technology scanner, and then zirconia samples were manufactured by CAD / CAM technology. Each ceramic piece was scanned ten times by three IOSs. The reference STL file was considered CAD, and the STL files obtained from scanners were considered Mesh. Mesh was then superimposed using the "best-fit" protocol on the reference file. Shapiro-Wilk and paired t-test were used to find the data discrepancies.
Results: The lowest and highest values and mean of precision and trueness in molar teeth were observed in Cerec Omnicam. The highest value and mean precision in molar teeth were observed in Open Technology. There were no significant differences within the four types of scanners in canine teeth in the mean of precision and trueness.
Conclusion: Based on the findings of this study, it seems that tooth size does not affect the accuracy of these types of scanners in terms of accuracy and repeatability.
Efficient Multi-Object Detecting Assistive System for Visually Impaired People
Authors: A.Badiger Narayan , Nagarali Rithika B. , Naik Ms.Sejal , Koppad Ms.Rajeshwari 
Published: July 2022

Abstract
Technology these days is growing drastically, and of which the expense of using this technology is increasing leading to the increase in the price of the devices used by visually impaired people. There is a need for a portable and easily accessible smart aid. This proposed system allows the unperceptive community to have access to such a device that is portable and affordable. People with deprived vision face difficulties in navigation and carrying out their daily life chores, our device aims to empower such people. ESP32CAM (Esprissif Systems 32-Bit Camera) captures images of objects/intruders, converting them into text and then into audio which alerts the user through headphones/speakers. The YOLO (You Only Look Once) package is installed, which scans the images and performs augmentation and annotation, before feature extraction to perform classification. Once classified, the image is then converted into audio. The COCO (Common Objects in Context) dataset is used for implementation. The purpose of this device is to process the images of objects as input into a voice as output. It has less error rate, less processing time, and is cost-effective. This device acts as an artificial eye for visually impaired people.
Molecular identification of vivax malaria relapse cases in Yunnan Province based on the homologyical analysis of Plasmodium vivax circumsporozoite protein gene
Authors: Xu Yanchu , Dong Ying , Deng Yan , Huang Herong , Chen Mengni , Liu Yan , Wu Jing , Zhang Canglin , Zheng Webi 
Published: July 2022

Abstract
Background
More than 85% of the malaria burden is caused by imported vivax malaria in Yunnan Province and Yunnan is also where the majority of vivax malaria cases are diagnosed across China. Timely removal of the source of Plasmodium vivax and its breeding environment remains the key to eliminating the secondary transmission of imported malaria. To compensate for the uncertainty of epidemiological surveys in tracing vivax malaria recurrence, this study attempted to use molecular markers for identification.
Materials and methods
To do so, blood samples were collected from cases diagnosed and revalidated as single infections of Plasmodium vivax in Yunnan Province from 2013 to 2020. Specifically, samples from suspected relapses with recurrent episodes were subjected to PCR amplification, product sequencing, and analysis of the Plasmodium vivax circumsporozoite protein (pvcsp) gene.
Results
Seventy-eight suspected recurrent cases were retrieved from 2484 vivax malaria cases, with a total of 81 recurrent episodes. A total of 159 blood samples from primary infection Plasmodium vivax and recurrences were subjected to PCR amplification and sequencing to obtain 156 CDS sequences of pvcsp gene, 121 of which can be matched into the paired sequences of 59 cases. There were 475 polymorphic loci and 84 haplotypes (H01-H84) in the 121 sequences. Also, there were 79 and 5 haplotypes with CRR repeat units (PRM) of VK210 and VK247 structure, respectively. Of the 59 pairs of pvcsp gene sequences, every one of 31 pairs showed only one haplotype and no variant sites, meaning the every paired sequences were completely homologous and the paired Plasmodium vivax strains were homologous single clone. Every one of the remaining 28 paired sequences had two haplotypes but no length polymorphism, and except for 2 polymorphic loci (39 and 1027), all single nucleotide polymorphisms were double-equivalent bases differentially transferred between paired sequences, indicating that the paired sequences are "weakly heterologous" with no fragment insertions (or deletions) and only individual site polymorphisms. All 59 vivax malaria recurrences were respectively caused by the activation of Plasmodium vivax hypnozoites from the same population as the primary infection.
Conclusions
The paired analysis of the similarity of Plasmodium high variant genes allowed the identification of recurrent episodes caused by Plasmodium vivax homologous hypnozoites, and also demonstrated pvcsp gene as a good molecular marker. Moreover, the study showed most of the hypnozoites causing vivax malaria recurrence in Yunnan Province belonged to homologous single clone or sibling strains comparison with the original infection strains.
Learning at Stations on the Secondary Level in Biology Education: The Determination of Toxic Plants
Authors: Kubiatko Milan , Fancovicova Jana 
Published: July 2022

Abstract
The importance of plants for humans is unquestionable. Learning stations are a very useful tool for understanding the meaning of plants for people. The purpose of the study was to describe the effect of learning stations in practice, its use and whether or not it might help change misconceptions and build accurate content knowledge about toxic plants. The quasi-experimental design was used and the research sample consisted of a control group and an experimental group. The knowledge test (pretest / posttest) focused as a research tool on the ability to identify toxic plants, to gain the occurrence of plants and decide about the toxicity of plants. The effect of learning stations was significant, with the students from the experimental group achieving a higher score after implementation of the independent variable in all categories (naming of plants, occurrence, toxicity).
Genetic diversity of pea (Pisum sativum L.) genotypes differing in leaf type using SNP markers
Authors: Tran Chi Thanh , Beissinger Timothy M.. , Becker Heiko C. , Horneburg Bernd 
Published: July 2022

Abstract
A collection of 46 pea (Pisum sativum L.) accessions, mostly from Europe, of the two leaf types semi-leafless and normal-leafed, were analysed for genetic diversity using the GenoPea 13.2K SNP Array chip. Principal components analysis separated the peas into two groups characterized by the two different leaf types, although some genotypes were exceptions and appeared in the opposite group. Cluster analysis confirmed the two groups. A dendrogram illustrated larger genetic distances between genotypes in the normal-leafed group compared to semi-leafless genotypes.The coincidence between the results of PCA and clustering by genetic distance confirms that leaf type plays a role in the diversity of peas.
Electrolytic treatment of crystal violet by TiO2–Fe–C electrodes
Authors: Wang Ben , Sun Yan , Du Lei 
Published: July 2022

Abstract
Journal of Water and Climate Change issues a formal withdrawal in relation to the above article by Ben Wang, Yan Sun and Lei Du. This decision has been taken as the authors failed to complete the necessary corrections to their paper, and production could not be completed. As a result of this the paper has been withdrawn.
Distribution feature of heavy metals in the system of sediment-submerged plant-water in Xuanwu Lake
Authors: Liu Yu , OU Chun , Zhang Nan , Wang Xiaoli 
Published: July 2022

Abstract
In view of the distribution of heavy metal pollutants in Xuanwu Lake after the comprehensive dredging, contents of Cr, Mn, Ni, Cu, Zn, Cd and Pb in 4 dominant submerged plants and their corresponding sediments in the lake and in surface water were determined, so as to reveal the pollution and distribution of the heavy metals in the system of sediments-submerged plants-water in Xuanwu Lake. Results showed that the average mass concentration of Cr and Ni in the surface water of Xuanwu Lake exceeded the national standard Grade II of the quality of surface water which were 1.79 and 1.56 times, respectively; The content of Cd and Pd in sediments was respectively 3.31 and 1.17 times of the background value of Nanjing soil, and the North Lake, the contents of Mn, Ni, Zn, Cd and Pd in surface water and Cr, Ni, Zn, Cd and Pd in sediments were higher than other lake areas. The average value Igeo of each element was ranked by size as Cd &gt; Pb &gt; Zn &gt; Cr &gt; Cu &gt; Mn &gt; Ni, except that Cd was slight pollution (Igeo value is 0.20–0.47), the other heavy metal elements were at a clean level. In the four submerged plants, Mn was significantly positively correlated with Ni, Cu, Zn and Cd (p &lt; 0.01). Ni was significantly positively correlated with Cu, Zn and Cd. Cr in the submerged plants was significantly positively correlated with Cr and Ni in the surface water; The contents of Cd and Pd were significantly positively correlated with Pd and Cu in the surface water (p &lt; 0.05).
Efektivitas penggunaan media pembelajaran audio-visual berbasis e-learning pada pembelajaran akutansi
Authors: Siswanto Siswanto , Aghni Rizqi Ilyasa , Siregar‬ Merinda Noorma Novida , Purnama Dian Normalitasari 
Published: July 2022

Penelitian bertujuan untuk mengetahui efektivitas penggunaan media pembelajaran dalam meningkatkan pemahaman pembelajaran akuntansi. Penelitian ini dilaksanakan di Program Studi Pendidikan Akuntansi FE UNY pada mata kuliah kurikulum dan pembelajaran akuntansi. Penelitian ini merupakan penelitian eksperimen dengan jenis Kuasi Esperimen. Teknik analisis data yang digunakan dalam penelitian ini adalah analisis data deskriptif dengan teknik analisis data menggunakan uji normalitas menggunakan chi square, uji homogenitas menggunakan uji-F, dan uji hipotesis menggunakan uji-t. Hasil penelitian menunjukkan (1) Penggunaan media audio visual dinilai tidak efektif untuk meningkatkan prestasi belajar mahasiswa pada pembelajaran akuntansi; (2) Penggunaan media pembelajaran yang berbasis audio visual menunjukkan kenaikan nilai jika dibandingkan antara pre-test dengan post tes. (3) Akses media pembelajaran audio visual yang diakses melalui e-learning cenderung membutuhkan fasilitas sinyal internet dan kuota internet cukup baik dan besar membuat mahasiswa enggan dalam memaksimalkan keseluruhan media pembelajaran audio – visual yang telah disediakan untuk menunjang kegiatan.AbstractThis study aims to determine the effectiveness of using instructional media in increasing understanding of accounting learning. This research was conducted in the Accounting Education Study Program, FE UNY, in the curriculum and accounting courses of study. This research is experimental research with a quasi-experimental type. The data analysis technique used in this research is descriptive data analysis with data analysis techniques using the normality test using the chi-square test, homogeneity test using the F-test, and hypothesis testing using the t-test. The results showed (1) the use of audio-visual media was considered ineffective to improve student achievement in accounting learning; (2) The use of audio-visual-based learning media shows an increase in value when compared between pre-test and post-test. (3) Access to audio-visual learning media accessed through e-learning tends to require internet signal facilities and the internet quota is quite good and large, making students reluctant to maximize the overall audio-visual learning media that has been provided to support activities