bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on the influence of F16 fault on rockburst
Authors: Rong Hai , Pan Liting , Wang Yadi , Yu Shiqi , Guo Kaipeng , Li Nannan 
Published: March 2022

Abstract
In order to solve the safety problem of rockburst in coal mining under fault conditions and realize safe and efficient production of coal mine, this paper analyzes the existing mechanism and geological environment of fault, constructs fault monitoring scheme and field construction method, and carries out underground monitoring of F16 fault. The stress and displacement of F16 fault in Gengcun Coal Mine are monitored, the deformation and activity of the fault are analyzed, and the influence on energy when the stress and displacement change is observed. The experimental results show that : Before and after the two large energy microseismic events, the stress and displacement changed significantly, and the energy increased first and then decreased sharply. The mining of working face had an important impact on the activity of F16 fault. The deep mining of coal mine would disturb the coal seam and roof and floor strata, destroy the stress state of the original rock mass, increase the in-situ stress, complicate the geological structure, and develop various faults one after another, It will destroy the integrity and integrity of the coal seam, cause the destruction of surrounding rock near the fault, release energy, cause large energy microseismic events, and in serious cases, it will lead to rockburst accidents. The research results have guiding significance for monitoring the impact of F16 fault activity on Rockburst in Gengcun Coal Mine, and provide experimental methods and theoretical basis for other coal mines to study the change process of energy during fault activity.
Biosynthesis of Silica Nanoparticles Using Leaf Extract of Punica Granatum and Assessment of Its Antibacterial Activities Against Human Pathogens
Authors: Periakaruppan Rajiv , Priya C , Ranjitha P , Danaraj Jeyapragash 
Published: March 2022

Abstract
Plant-mediated nanoparticle synthesis is a revolutionary technique with numerous applications in agriculture, food processing, and medicine. This present study reports Punica granatum leaf extract is capable of the green and eco-friendly synthesis of silica nanoparticles which provides simple, cost effective, and efficient methodology. Silica nanoparticles were synthesized by a biological method using Tetra Ethyl Ortho Silicate. Biosynthesized silica nanoparticles characterized by X-Ray Diffraction Analysis, Scanning Electron Microscopy, Energy Dispersive X-Ray Spectroscopy, and Fourier Transform Infrared Spectroscopy. All the analysis and characterization were determined that particles were spherical, amorphous nature with an average size of 12 nm. P. granatum assisted silica nanoparticles were tested for antibacterial activity by well diffusion method against two-gram negative bacterial pathogens (E. coli and Salmonella Sp.). The antibacterial studies prove that P. granatum assisted silica nanoparticles to have good antibacterial properties. These studies will help to find a new nano drug or medicine for multidrug-resistant bacteria.
Does antenatal supplementation with omega-3 affect child development and behavior during the first six months of life? A randomized double-blind placebo-controlled trial
Authors: de Sousa Taciana Maia , Santos Luana Caroline dos 
Published: March 2022

Abstract
Purpose
This randomized double-blind placebo-controlled trial aimed to evaluate the effect of antenatal omega-3 supplementation on child development and behavior during the first six months of life.
Methods
Participants with gestational age between 22–24 weeks were randomized in placebo (olive oil; n = 30) or omega-3 (fish oil; n = 30) groups and supplemented until childbirth. Fish oil capsules provided 1440mg/day of DHA. Child development was assessed using the Survey of Well-being of Young Children in the first, fourth and sixth month of life. Intention-to-treat and per-protocol analyses were performed using Generalized Estimating Equations.
Results
The comparison between groups showed no differences in the Developmental Milestones score at any time, but when compared to the first month, the omega-3 group showed an increase at the fourth and sixth month. Such increase was not observed in the placebo group. No differences were found between groups for Irritability and Inflexibility scores, however, higher scores for Difficulty with Routine were observed in the placebo group when compared to omega-3 at first, fourth and sixth month.
Conclusion
There were no differences between groups for child development, but the omega-3 group showed an increase in this score over time. The placebo group had greater difficulty with routine than the omega-3 group, indicating a beneficial effect of antenatal supplementation on child behavior.
Trial registration:
ReBec U1111-1215-7952 (June 16th 2018).
Short-term Passenger Flow Prediction of railway epidemic Based on SARIMA - LSTM combined model
Authors: WEI Shu-yao , ZHANG Jin 
Published: March 2022

Abstract
The huge disturbance caused by the sudden outbreak of COVID-19 to the short-term passenger flow of railway. The daily passenger flow curves of periodic and seasonal non-stationary time series of Spring Festival travel under the COVID-19 pandemic were analyzed, and the combined model based on SARIMA-LTSM was constructed. SARIMA model was used to predict the linear part and LSTM rolling optimization model was used to predict the nonlinear part. Finally, the two prediction results were put into the weighted sum of attention mechanism module, and the GRU gated loop unit was introduced to assist verification. Through case study and analysis, the results show that the prediction results of SARIMA-LTSM combined model have good control and high accuracy, which can provide theoretical basis for the close representation and prediction of short-term passenger flow data set of epidemic emergencies.
Phytochemicals as Potential Inhibitors for COVID-19 Revealed by Molecular Docking, Molecular Dynamic Simulation and DFT Studies
Authors: Puthanveedu Vinduja , Muraleedharan Karuvanthodi 
Published: March 2022

Abstract
The COVID-19 pandemic outbreak demands the designing of potential drugs as there is no specific treatment available. Thanks to their safety and effectiveness, phytochemicals have been used to treat various diseases, including antiviral therapeutics. Molecular docking is a simple, quick, and effective way to screen a variety of molecules for structure-based drug design. Here, we investigate molecular docking experiments on compounds present in plant species, C.hirsutus and R.rosea and show their potential for the treatment of COVID-19. Almost all the components showed higher binding energies than the built-in ligand, and those with significantly higher binding energies were explored further. Molecular mechanics-based generalized born surface area calculations were used to re-rank the top candidates, rhodionidin and cocsoline, and their stability in association with viral protease was confirmed. Density functional theory was used for detailed investigations of the geometries, electrical properties, and molecule electrostatic potential of rhodionidin and cocsoline. Using the frontier molecular orbitals method, the charge transfer within the molecule was calculated. Chemical reactivity and intermolecular interactions were studied using molecular electrostatic potential maps. These in silico discoveries will simulate the identification of powerful COVID-19 inhibitors, and similar research is likely to make a significant contribution to antiviral drug discovery.
Weyl interface states in non-Hermitian synthetic dimension
Authors: Song Wange , Chen Yuxin , Wu Shengjie , Chen Chen , Huang Chunyu , Yuan Luqi , Zhu Shining , Li Tao 
Published: March 2022

Abstract
Synthetic dimension has emerged as an attractive concept to explore higher-dimensional physics, yet they are usually formed by Hermitian degrees of freedom. Here, we establish a new platform of non-Hermitian synthetic dimension with unprecedented flexibility to investigate the non-Hermitian Weyl physics. The interface modes between two Weyl media of different non-Hermitian topological structures (i.e., Weyl point and Weyl exceptional ring) are explored. Specifically, we construct a spatially modulated silicon waveguide array with well-controlled chromium deposition, creating the non-Hermitian synthetic dimension, where the interface states induced by imaginary mass inversion are predicted and observed in integrated photonic experiments. Besides, it is found that the interface states can also appear with the shift/deformation along non-Hermitian synthetic dimensions according to the phase transition crossing the Weyl exceptional ring. Our work connects the concept of synthetic dimension with the non-Hermitian scope, which remarkably enriches the physics of topological states as well as phase transitions, and implies potentials in chip-scale photonics manipulations.
Analysis of Anti-malarial drug-resistant genes of Plasmodium falciparum 3D7 to understand its expression: the bioinformatics approach
Authors: Waktole Gemechis , Donghee Cho 
Published: March 2022

Abstract
Malaria is one of the most important infectious diseases that threaten half of the world’s population. Ethiopia is among countries with a high malaria burden. Plasmodium falciparum is the most common (64%) cause of malaria in Ethiopia while P. vivax accounts for the remaining cases (34%). Despite numerous advances in malaria control strategies, the disease still kills countless children worldwide, mainly in sub-Saharan African countries and malaria still remains a major public health problem in Ethiopia. Analyzing parasite genetics has enormous potential to aid both efforts at elimination as well as international efforts toward eradication. Therefore, this study is aimed to insilico analysis of regulatory elements such as CpG islands, transcription factors (TFs) and their corresponding binding sites (TFBSs) involved in the regulation of gene expression of Plasmodium falciparum 3D7 isolates drug resistant genes. In this analysis nine drug resistance affecting gene coding sequences, available in NCBI database with the start codon at the beginning of the sequence and only functional genes (protein coding) were deliberated. Accordingly, the promoter prediction by neural network promoter prediction result showed Plasmodium falciparum 3D7 drug resistance affecting genes have 1–6 TSS and five common candidate motifs (MPfI, MPfII, MPfIII, MPfIV and MPfV) were identified. The study indicates the poor occurrence of CpG islands in both gene body and promoter regions which may affect the access of promoter region of genes to their transcription factors, hence affecting their expression. In general, this in silico analysis of genes encoding for Plasmodium falciparum drug resistance affecting genes could be helpful to add knowledge about the molecular data and supportive to identify gene regulatory elements in the promoter regions.
Quantum Annealing with Special Drivers for Circuit Fault Diagnostics
Authors: Leipold Hannes , Spedalieri Federico 
Published: March 2022

Abstract
We present a very general construction for quantum annealing protocols to solve Combinational Circuit Fault Diagnosis (CCFD) problems that restricts the evolution to the space of valid diagnoses. This is accomplished by using special local drivers that induce a transition graph on the space of feasible configurations that is regular and instance independent for each given circuit topology. Analysis of small instances shows that the energy gap has a generic form, and that the minimum gap occurs in the last third of the evolution. We used these features to construct an improved annealing schedule and benchmarked its performance through closed system simulations. We found that degeneracy can help the performance of quantum annealing, especially for instances with a higher number of faults in their minimum fault diagnosis. This contrasts with the performance of classical approaches based on brute force search that are used in industry for large scale circuits.
Role of cyclic adenosine monophosphate-response element binding protein in hypertonic-induced cell injury in human lens epithelial cells
Authors: Zhao Peiquan , Xiao Dong , Zhang Qiqiang , Ye Qing , Xu Yu , Zhu Maolin , Wang Xiaohan , Jin Haiying 
Published: March 2022

Abstract
Purpose: Diabetic cataracts is one of the complication of diabetes mellitus which contributes to the opacification of the lens and blindness by hurting lens epithelial cells (LECs). The hypertonic environment due to the high blood glucose level is a most important reason of LECs injury in diabetes mellitus. However, the mechanism of LEC self-regulation under a hypertonic condition is still not fully understood. This study aims to investigated the function of cyclic adenosine monophosphate-response element binding protein (CREB) and its related mitogen-activated protein kinase (MAPK) pathways, mitochondria-related proteins in regulating of cell viability process of LECs, under hypertonic conditions.Method: We exposed lens epithelial cells to hypertonic conditions to detect the activation of CREB and MAPK pathways and the changes of mitochondrial related proteins in cells,to verify the effect of CREB on cell injury under hypertonic conditionsResults: We found that CREB can attenuate LEC cell viability under hypertonic conditions. Additionally, we found that the activation of proteins in MAPK and apoptosis-related pathways may be responsible for the cellular signaling mechanism of CREB-mediated protection.Conclusion: CREB protects LECs against the hypertonic solution-induced damage by suppressing p53-mediated mitochondria-dependent apoptotic signaling. In addition, activation of extracellular signal-regulated protein kinase 1/2, p38 MAPKs, and B-cell leukemia/lymphoma 2 expression may underlie CREB-mediated protection.
Stereotactical Normalization with Multiple Templates Representative of Normal and Parkinson-Typical Reduction of Striatal Uptake Improves the Diagnostic Power of Automatic Semi-Quantitative Analysis in Dopamine Transporter SPECT
Authors: Apostolova Ivayla , Schiebler Tassilo , Lange Catharina , Mathies Franziska Lara , Lehnert Wencke , Klutmann Susanne , Buchert Ralph 
Published: March 2022

Abstract
Background
The specific binding ratio (SBR) of 123I-FP-CIT in the putamen is widely used to support the interpretation of dopamine transporter (DAT) SPECT. Automatic methods for computation of the putamen SBR often include stereotactical normalization of the individual DAT-SPECT image to an anatomical standard space. This study compared using a single 123I-FP-CIT template image as target for stereotactical normalization versus multiple templates representative of normal and different levels of Parkinson-typical reduction of striatal 123I-FP-CIT uptake.
Methods
123I-FP-CIT SPECT images of 1738 patients (66.2 ± 11.6y) were stereotactically normalized (affine) to the anatomical space of the Montreal Neurological Institute (MNI) with SPM12 either using a single custom-made FP-CIT template representative of normal striatal uptake or using eight different templates representative of normal and different levels of Parkinson-typical reduction of striatal FP-CIT uptake with and without attenuation and scatter correction. In the latter case, SPM finds the linear combination of these templates that best matches the patient’s image. The putamen SBR was obtained using hottest voxels analysis in large unilateral regions of interest predefined in MNI space. The histogram of the putamen SBR in the whole sample was fitted by the sum of two Gaussian functions. The power to differentiate between reduced and normal SBR was estimated by the effect size of the distance between the two Gaussian functions computed as the differences between their mean values scaled to their pooled standard deviation.
Results
The effect size of the distance between the two Gaussian functions was 3.84 with the single template versus 3.96 with multiple templates for stereotactical normalization.
Conclusions
Multiple templates representative of normal and different levels of Parkinson-typical reduction for stereotactical normalization of DAT-SPECT provide improved separation between normal and reduced putamen SBR, suggesting slightly improved power for the detection of nigrostriatal degeneration.
An Open-Label, Randomized Pharmacokinetic Study of Two Formulations of Eldecalcitol Capsules Following Single Oral Administration in Healthy Chinese Volunteers Under Fasting and Fed Conditions
Authors: WU JUAN , Fan Yuru , Zheng Liang , Liu Yueyue , Zhang Qian , Zhao Hui , Shen Chenlin , Hu Wei 
Published: March 2022

Abstract
Purpose
Eldecalcitol is an active vitamin D3 derivative for preventing and treating osteoporosis. The objectives of this study was to evaluate the bioequivalence and safety of two formulations of eldecalcitol capsule (0.75 µg) in healthy Chinese male and female volunteers, as well as to investigate the food effect on the pharmacokinetics.
Methods
An open-label, randomized, three-period, three-sequence, reference-replicated crossover clinical study was performed in 27 healthy Chinese volunteers under fasting condition. Meanwhile, a two-way crossover study was performed in 28 healthy Chinese volunteers under fed condition. Subjects were administered with a single oral dose of 0.75 µg eldecalcitol after an overnight fast. The washout time between each period was 25 days. Blood samples were collected with scheduled time points from 0 to168 h.
Results
The 90% confidence intervals (CI) of test/reference AUC ratio and Cmax ratio of the eldecalcitol were within the acceptance criteria based on average bioequivalence method. Tmax of test and reference formulation were 3.987 h and 3.489 h under the fasting conditions. While Tmax was prolonged to 9.006 h and 6.007 h in test and reference formulation after a high-fat meal. Only mild and transient, but not severe adverse events were detected in the study.
Conclusion
Two formulations of eldecalcitol was bioequivalent under both fasting and fed conditions. Whereas, food intake prolonged the oral absorption of eldecalcitol, but did not significantly influence the system exposure.
A case of Sheehan syndrome six years postpartum with hypothyroidism and mild hyponatremia
Authors: Mishra Priya , Jindal Himanshu , Khan Efa , Palawat Sandeep Singh 
Published: March 2022

Abstract
Sheehan syndrome, also referred to as postpartum hypopituitarism is often a sequela of massive post-partum hemorrhage in resource poor healthcare settings where blood loss during delivery is often neglected. The diagnosis of this rare but fatal is disease is often delayed because the symptoms are vague and the pituitary dysfunction is insidious in nature. This condition sometimes takes more than a decade before it is diagnosed. The classic signs and symptoms include agalactia, secondary amenorrhea and dry wrinkling skin. Often an empty or a partially empty sella is seen on magnetic resonance imaging of the brain. We present the case of a 35-year-old multiparous female with anhedonia and raised serum transaminases who presented to our side with mild hyponatremia and hypothyroidism. She got diagnosed with Sheehan syndrome at our set up six years after her last obstetric event. Through this case report, we intend to provide a clinical account of the patient’s condition and management.
Skin cultivable bacterial of Melanophryniscus admirabilis (admirable red belly toad): the role of bacterial communities on species conservation
Authors: Ienes-Lima Julia , Prichula Janira , Abadie Michelle , Borges-Martins Márcio , Frazzon Ana Paula Guedes 
Published: March 2022

Abstract
Melanophryniscus admirabilis is a small toad, critically endangered with a microendemic distribution in the Atlantic Forest in southern Brazil. The amphibian skin microbiome is considered one of the first lines of defense against pathogenic infections, such as Batrachochytrium dendrobatidis ​(​Bd​). The knowledge of skin amphibian microbiomes is important to numerous fields, including species conservation, detection and quantification of environmental changes and stressors. In the present study, we investigated, for the first time, cultivable bacteria in the skin of wild M. admirabilis, and addressed the ability of these bacterial populations to protect the toads against pathogens, such as Bd fungus. Skin swabs were collected from 15 wild M. admirabilis, and the samples were processed for culture study and presence of Bd fungus by nested-PCR. A total of 62 bacterial isolates being Bacillus (n=22; 34.48%), Citrobacter (n=10; 16.13 %), and Serratia (n=12; 19.35%) were more frequently isolated genera. Interestingly, all skin samples tested were Bd negative. Some bacterial genera identified in our study might be acting in a synergic relationship and protecting them against the Bd fungus. In addition, these bacteria may play an essential role in maintaining this species in an environment modulated by anthropic actions. This first report of skin cultivable bacteria from M. admirabilis natural population improves our knowledge of skin amphibian microbiomes, contributing to a better understanding of their ecology and how this species has survived in an environment modulated by anthropic action.
Development and Validation of a RNA Binding Protein-Associated Prognostic Model for Uterine Corpus Endometrial Carcinoma
Authors: Yao Yong , Liu Kangping , Wu Yuxuan , Zhou Jieyu , Jin Heyue , Zhang Yimin , Zhu Yumin 
Published: March 2022

Abstract
BackgroundThe dysregulation of RNA binding proteins (RBPs) is involved in tumorigenesis and progression. However, information on the overall function of RBPs in Uterine Corpus Endometrial Carcinoma (UCEC) remains to be studied. The aims of this study were to explore the associated molecular mechanisms and to develop an RNA binding protein-associated prognostic model for UCEC.MethodsBased on The Cancer Genome Atlas (TCGA) database, differentially expressed RBPs were identified between UCEC tumor tissues and normal tissues. Hub RBPs were then found by univariate and multivariate Cox regression analysis. The cBioPortal platform, R packages (DESeq2, edgeR and ggplot2) and The Human Protein Atlas (HPA) online database were used to explore the molecular mechanisms of UCEC. Kaplan-Meier (K-M), Area Under Curve (AUC), and the consistency index (c-index) were used to test the performance of our model.ResultsIn total, 128 differentially expressed RBPs between UCEC tumor tissues and normal tissues were identified. Seven RBP genes (NOP10, RBPMS, ATXN1, SBDS, POP5, CD3EAP, ZC3H12C) were screened as prognostic hub genes and used to construct a prognostic model, which are particularly important to prospectively predict patient prognosis and help them get treatment accordingly. Further analysis indicated that the patients in the high-risk subgroup had poor overall survival (OS) compared to those in low-risk subgroup based on the model. We also established a nomogram based on seven RBPs, which potentially improved individualized diagnostic and therapeutic strategies for UCEC.ConclusionOur work focused on the systematic analysis of a large cohort of patients in the TCGA database, which allowed us to construct a robust prognostic model based on seven RBPs, that may be of great value in clinical applications.