bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and Nucleotide sequence relatedness among Wenyonia species (Cestoda: Caryophyllidea) in Synodontis clarias from Lekki Lagoon, Lagos, Nigeria
Authors: Koledoye Toluwani Yemi , Abazuh Uchenna Desmond , Akinsanya Bamidele , Adekoya Khalid Olajide 
Published: July 2022

Abstract
Background: Wenyonia Woodland, 1923 represents a monophyletic lineage of Caryophyllidean tapeworms that exclusively infect mochokid catfishes of the genus Synodontis. In Nigeria, information on the molecular characterization of Wenyonia sp tracing the phylogenetic relationship within the genus is lacking. This study was therefore aimed to evaluate the genetic relatedness between and among Wenyonia species based on the partial nucleotide sequence of the D1-D3 region of the 28SrRNA gene and the mt region (trnK + nad3 + trnS + trnW + cox1) genes.Methods and results: One hundred and twenty Synodontis clarias from the Lekki Lagoon were purchased fresh at the Oluwo market Epe, Lagos, Nigeria between November 2020 and April 2021. Total genomic DNA of identified Wenyonia species recovered from the fishes were extracted. PCR was done to amplify the divergent domains (D1-D3) region of the 28SrRNA gene and the mt region (trnK + nad3 + trnS + trnW + cox1) genes in the Wenyonia species, and PCR products sequenced. The nucleotide sequences obtained were verified using BLAST and they were subsequently analyzed using the Molecular Evolutionary Genetic Analysis (MEGA 7.0). Wenyonia sp are abundant in Synodontis clarias with W. virilis the most prevalent and W. minuta the least prevalent. The phylogenetic tree based on the D1-D3 region of the partial 28SrRNA gene nucleotide sequence revealed three main clusters that indicated that W. minuta and W. youdeoweii are more genetically related than W. virilis. W. longicauda, however, showed more intermediate relatedness between and among the 5 Wenyonia species used in the tree. W. acuminuta showed the least genetically relatedness among the 5 Wenyonia species. Based on the partial mt region comprising trnK+ nad3+ trnS+ trnW+ cox1, W. acuminuta showed more genetic relatedness with W. longicauda than with W. youdeoweii. Conclusion: The study therefore revealed that Wenyonia sp are abundant in Synodontis clarias and that the species are genetically closely related as revealed by the taxonomical classification. However, some individual among these species may have been evolving.
Milling chatter detection of thin-walled parts based on GA-SE-SCK-VMD and RCMDE
Authors: Liu Xianli , Wang Hanbin , Li Maoyue , Wang Zhixue , Meng Boyang 
Published: July 2022

Abstract
In the milling process, it is easy to produce chatter due to the low rigidity of thin-walled structure, which leads to the deterioration of workpiece surface quality and reduces the service life of cutting tools and machine tools. Therefore, a new chatter detection method for thin-walled parts based on optimal variational mode decomposition (OVMD) and refined composite multiscale dispersion entropy (RCMDE) is proposed in this paper. Firstly, to solve the problem that the decomposition effect of the variational mode decomposition (VMD) algorithm is greatly affected by its parameter, genetic algorithm (GA) is used to iteratively optimize the parameter of the VMD algorithm, and a new index, square envelope spectral correlated kurtosis (SE-SCK), is introduced as the fitness function of the genetic algorithm. Then, the energy ratio of the decomposed signal is calculated as the principle of selecting sub-components, and the sub-components with rich chatter information are selected for signal reconstruction. To solve the problem that the multiscale dispersion entropy (MDE) will miss some information in the multi-scale process, RCMDE is introduced to detect milling chatter. Finally, the experiment of the variable cutting depth in side milling of titanium alloy thin-walled parts is carried out. The experimental results show that the OVMD algorithm proposed can solve the problem of difficult separation of chatter frequency bands caused by mode aliasing, and lay a foundation for subsequent chatter feature extraction. RCMDE is more conducive to chatter detection than the single-scale DE when the scale factor is 4. The distinguishing effect of RCMDE on the machining state is more than 50% higher than that of MDE when the scale factor is 4.
Development of high-performance nickel-based catalysts for production of hydrogen and carbon nanotubes from biogas
Authors: Saconsint Supanida , Sae-tang Nonthicha , Sr Atthapon , Koo-Amornpattana Wanida , Assabumrungrat Suttichai , Fukuhara Choji , Ratchahat Sakhon 
Published: July 2022

Abstract
Selecting a suitable catalyst for implementing both simultaneous productions of hydrogen-rich syngas and multi-walled carbon nanotubes (MWCNTs) through the integration of dry reforming and methane decomposition reactions has recently gained great interests. In this study, a series of bimetallic (NiMo/MgO) and trimetallic (CoNiMo/MgO, FeNiMo/MgO, CoFeMo/MgO) catalysts was prepared and evaluated for a catalytic activity of CH4 and CO2 conversions of biogas in a fixed bed reactor at 800°C and atmospheric pressure. Among the catalysts investigated for directly converting biogas process, the bimetallic NiMo/MgO catalyst showed the outstanding catalytic performance with 86.4% CH4 conversion and 95.6% CO2 conversion as well as producing the highest syngas purity of 90.0% with H2/CO ratio = 1.1. Moreover, the characterization of the synthesized CNTs proved that the well-aligned structured morphology, high purity, and excellent textural properties were obtained using NiMo/MgO catalyst. On the other hand, using trimetallic catalysts which have the composition of Co and Fe particles leads to severe deactivation. This could be elucidated by the influence of the catalyst oxidation with CO2 in biogas, resulting in the transformation of metal into large metal oxide. The integrative process through using NiMo/MgO catalysts is regarded as a promising pathway, which has potentially useful for directly converting biogas into a high value-added product and provides a management approach for the enormous amounts of wastes.
Fatty Infiltrate and Neck Muscle Volume in Individuals with Chronic Whiplash Associated Disorders Compared to Healthy Controls
Authors: Lund Nils , Leinhard Olof Dahlqvist , Elliott Jim , Peterson Gunnel , Borga Magnus , Zsigmond Peter , Karlsson Anette , Peolsson Anneli 
Published: July 2022

Abstract
The underlying pathophysiological mechanisms of chronic Whiplash Associated Disorders (WAD) are not fully understood, and more knowledge of morphology is needed to better understand the disorder, improve diagnostics and treatments. The aim was to investigate muscle fat infiltration (MFI) and muscle volume (MV) in dorsal neck musculature among participants with chronic WAD grade II-III compared to matched healthy controls, and in relation to functional severity of WAD measured with Neck Disability Index (NDI). MV and MFI at spinal segments C4 through C7 in both sexes with mild- to moderate chronic WAD, severe chronic WAD, and age- and sex matched healthy controls was compared. Muscles: trapezius, splenius, semispinalis capitis and semispinalis cervicis were segmented by a blinded assessor and analyzed, showing statistically significantly higher MFI in right trapezius among participants with severe chronic WAD compared to healthy controls (p=0.007). No other statistically significant differences were found for MFI (p=0.22-0.95) or MV (p=0.20-0.76). In conclusion, there are quantifiable changes in muscle composition of right trapezius, the side of dominant pain, among participants with severe chronic WAD. Further research is needed to better understand chronic WAD pathophysiology, muscle morphological changes, and its’ relation to neck disability.
Reduced expression of PRX2/ATPRX1, PRX8, PRX35, and PRX73 affects cell elongation, vegetative growth, and vasculature structures in Arabidopsis thaliana
Authors: Jeong Yu Jeong , Kim Young-Cheon , Lee June Seung , Kim Dong-Gwan , Lee Jeong Hwan 
Published: July 2022

Abstract
Class III peroxidases (PRXs) are involved in a broad spectrum of physiological and developmental processes throughout the life cycle of plants. However, the specific function of each PRX member in the family remains largely unknown. In this study, we selected four class III peroxidase genes (PRX2/ATPRX1, PRX8, PRX35, and PRX73) from a previous genome-wide transcriptome analysis, and performed phenotypic and morphological analyses, including histochemical staining in PRX2RNAi, PRX8RNAi, PRX35RNAi, and PRX73RNAi plants. The reduced mRNA levels of corresponding PRX genes in PRX2RNAi, PRX8RNAi, PRX35RNAi, and PRX73RNAi seedlings resulted in elongated hypocotyls and roots, and slightly faster vegetative growth. To investigate internal structural changes in the vasculature, we performed histochemical staining, which revealed alterations in cell wall structures in the main vasculature of hypocotyls, stems, and roots of each PRXRNAi plant compared to wild-type (Col-0) plants. Furthermore, we found that PRX35RNAi plants displayed the decrease in lignified cell wall in vascular region, which were involved in downregulation of lignin biosynthesis and biosynthesis-regulated genes’ expression. Taken together, these results indicated that the reduced expression levels of PRX2/ATPRX1, PRX8, PRX35, and PRX73 affected hypocotyl and root elongation, vegetative growth, and the vasculature structures in hypocotyl, stem, and root tissues, suggesting that the four class III PRX genes play roles in plant developmental processes.
Diversity and plasticity of simultaneously expressing extracellular protease inhibitors from four marine Streptomyces spp. isolated from West coast of India
Authors: Shintre Neha , Deshpande Neelima , Patwardhan Rajashree , Tamhane Vaijayanti 
Published: July 2022

Abstract
Streptomyces have long been studied for their defense metabolites and Protease Inhibitors (PIs) they secrete for mediating biotic interactions. Current study focuses on diversity of extracellular PIs obtained from four marine Streptomyces species isolated from intertidal regions of West Coast of India. Streptomyces PIs showed strong inhibition of subtilisin followed by trypsin and chymotrypsin. Using shotgun proteomics approach, we identified 15 Streptomyces PIs belonging to 4 PI families namely Streptomyces subtilisin inhibitor (SSI), Potato peptidase inhibitor, Ovomucoid and Serpin. This is a first report of identification of Ovomucoid and Potato peptidase inhibitor families from Streptomyces. Amongst the 15 PIs, 12 were SSIs with 20-75% sequence similarity and variations in the conserved 73rd aa residue. Moreover, 10 SSI isoforms were co-expressed in a single species S. longispororuber. In-silico and in-vitro assays with proteases from microbial, bovine and insect sources suggested that the Streptomyces PIs had a broad-spectrum inhibitory activity. In co-culture of Streptomyces with other protease producing bacteria, cellular secretions differentially affected growth, sporulation and/or pigment production. Present study elucidates the diversity and plasticity of extracellular PIs from marine Streptomyces spp. Further, their role in chemical ecology of the bacterial communities as well as their potential applications in therapeutics are discussed.
Histopathology pattern and survival analysis of patients with kidney biopsy in the Top End of Northern Australia from 2007 to 2020
Authors: Goh Kim Ling , Abeyaratne Asanga , Priyadarshana Kelum 
Published: July 2022

Abstract
Aim: Royal Darwin Hospital (RDH) is the main tertiary hospital that has performed more than 600 biopsies since its establishment. Although Aboriginal people in Australia’s Northern Territory has the highest rate of renal replacement therapy, the histopathology pattern of their renal diseases is still under discussed. We aimed to analyse the histopathology pattern of patients undergoing renal biopsy in RDH from June 2007 to June 2020. Secondary aims include clinical indication and survival analysis of patients with kidney biopsies. Methods: We conducted a retrospective cohort study on all native kidney biopsy reports from patients over the age of 16, from June 2007 to June 2020. Descriptive statistics was used to summarise age, sex, indigeneity, histopathological pattern, and mortality. Categorical values were expressed as absolute frequencies and percentages. Survival analysis was performed using multivariate analyses and Cox proportional hazard regression model. Results: There were 364 native renal biopsies included in the analysis. Sub-nephrotic proteinuria was the most common clinical indication for kidney biopsy (n=160,47.8%). Diabetes nephropathy (DN) was the most common pathological finding (n=71,12.8%). Indigenous population who had dialysis performs poorly compared to their non-indigenous counterpart (HR 2.37,95% CI 1.53-3.67,p<0.001). Conclusion: Diabetic nephropathy is the most common native kidney biopsy in the NT with higher mortality among indigenous patients. This study supports the previous findings of indigenous female excess, younger age of kidney disease requiring kidney biopsy, and excess of diabetic nephropathy in the top-end of the NT. It can be speculated that some diabetic patients had atypical features prompting a biopsy.
A Novel Prognostic Model for Hepatocellular Carcinoma Patients Based on Signature Ferroptosis-Immune Microenvironment-Related Genes
Authors: Yin Xisheng , Tang Jiayi , Yang Qian , Xu Ke , Chen Shi , He Miao , Yang Yuhan , Luo Jincheng , Li Yunyue , Wang Xiaoyu , Liu Xin , Chi Hao , Li Xiaosong 
Published: July 2022

Abstract
Background
Hepatocellular carcinoma (HCC) is one of the leading malignancies in the world due to its progressively increasing incidence. Nonetheless, the impact of ferroptosis and immune microenvironment on prognosis of HCC remains unclear. This research work aims to identify ferroptosis-immune microenvironment-related genes (FIMRGs) which influence the prognosis of HCC, providing a theoretical basis for an in-depth understanding of the pathogenesis and prognosis of HCC.
Methods
TCGA-LIHC cohort and GSE14520 cohort were enrolled in this study. 167 ferroptosis-related genes (FRGs) were retrieved from the FerrDb data resource. Consensus clustering assessment, immune infiltration assessment, weighted gene co-expression network analysis (WGCNA), Pearson correlation analysis along with Cox regression were used to identify and establish FIMRGs signature in HCC. Univariate coupled with multivariate regression assessment were executed to ascertain the independent prognostic worthiness of the risk score. The tumor microenvironment (TME) and drug sensitivity profiling were compared between the high-HCC risk and low-HCC risk groups. Subsequently, the drugs or molecular compounds targeting each prognostic gene were predicted via the DGIdb database.
Results
Based on 15 DEFRGs related with prognosis in individuals with HCC, the two clusters with significant prognostic differences have been mined. 9 genes (PTPRO, CRHBP, HMOX1, FABP5, TREM2, ADAMTS14, LILRA6, CAPG, and RGS2) have been identified from 55 FIMRGs, which were adopted to generate and verify the risk score model in the training along with the validation set. Cox regression assessment manifested the risk score to be independent predictive factor. TME analysis and drug sensitivity profiling exhibited remarkable differences in the immune microenvironment between high-HCC and low-HCC risk groups, with the low-HCC risk group being more likely to benefit from chemotherapy. Furthermore, A miRNA-mRNA regulatory network consisting of four prognostic genes and five prognostic miRNAs was formed. Finally, there were four drugs targeting HMOX1, one drug targeting RGS2, CAPG and CRHBP respectively, which have been extracted from the DGIdb database.
Conclusion
This study proposed a novel and promising prognostic gene signature, which could provide us a panoramic view of the prediction of prognosis for HCC patients.
Valve design considerations in liquid hydrogen systems to prevent failure
Authors: Sotoodeh Karan , Gudmestad Ove 
Published: July 2022

Abstract
Hydrogen has potential as an alternative source of energy (energy carrier) because it can be converted, stored, and used efficiently, with a wide range of applications. It can be created from renewable energy sources and can thus serve as storage of renewable energy like wind- and sun-power. It has been several decades since liquid hydrogen has been used as a fuel in space technology, however, the Space Shuttle Challenger disaster in 1986, was caused by seals leaking due to low outside temperature; the night of January 28th 1986 was freezing cold. This underlines the importance of cautious use of hydrogen.It shall be noted that Hydrogen liquefies at -252.9°C (-423°F), so cryogenic systems and sophisticated insulation techniques are necessary. Furthermore, steel is susceptible to hydrogen induced cracking. Control of the flow has always been carried out by valve assemblies in processing plants. The proper design of industrial valves in every industry, including hydrogen systems, can significantly improve the safety and reliability of the valves specifically, as well as the plant as a whole. An overview of various previous studies is presented in this paper, discussing important design concepts for cryogenic valves. The main research question is to determine what are the main design considerations for valves used in liquid hydrogen, so as to minimize the risk of leakage from the valves to ensure required safety. In this study, different aspects of valve design for liquid hydrogen are examined, such as selection of steel materials, steel wall thickness calculations, stem design, sealing material selection, fire-safe design, cavity over-pressure protection, and body and bonnet extension. The effects of the outside temperature will also be discussed.
Estimation of marine algal biomass using a coverage analysis
Authors: Jung Seung Wook , Choi Chang Geun 
Published: July 2022

Abstract
This study was conducted to assess the feasibility of biomass estimation by non-destructive sampling, determine whether the results derived from various types of marine algae are reliable, and a newly proposed method. A quantitative survey was conducted on marine algae communities distributed in the subtidal zone in 67 coastal regions in Korea. Regression analyses were conducted on 11,642 fresh weight datasets covering of 135 species of marine algae. The linear function was FW = 17.721C (adj r2 = 0.745, p < 0.001) and the power function was FW = 4.48C1.251 (adj r2 = 0.891, p < 0.001). Our analysis accounted for the fact that there were three vertically distributed layers of a marine algal assemblages with various shapes (i.e., the Ecklonia complex, the Sargassum and Undaria complex, and the understory complex). For the Ecklonia complex, the linear function was FW = 27.360C (adj r2 = 0.886, p < 0.001) and the power function was FW = 9.626C1.223 (adj r2 = 0.909, p < 0.001). For the Sargassum and Undaria complex, the linear function was FW = 18.389C (adj r2 = 0.916, p < 0.001) and the power function was FW = 6.567C1.255 (adj r2 = 0.942, p < 0.001). For the understory complex, the linear function was FW = 10.419C (adj r2 = 0.737, p < 0.001) and the power function was FW = 4.377C1.182 (adj r2 = 0.871, p < 0.001). Our findings demonstrated that the proposed method can accurately estimate the primary productivity of a wide range of coastal ecosystems based on remote sensing and non-destructive surveys of small-scale marine algal communities.
Characteristics of Wind Flow Around a University Campus Settlement Estimated by CFD Simulation
Authors: Gorgulu Yasin Furkan , Hazer Aysegul 
Published: July 2022

Abstract
Performing a computational fluid dynamics (CFD) analysis of a settlement can present many parameters such as determining the wind load, predicting the temperature distribution, determining the turbulence formations about how that settlement should be located, to the scientists in the architectural and engineering departments. In this study, a CFD analysis has been done using a commercial analysis program “Ansys Fluent” and the geometry has been created using an architectural program known as “SketchUp”. Istanbul Health and Technology University Merter Campus buildings have been taken as the reference models. Streamlines, velocity, pressure, temperature and turbulence kinetic energy distribution contours have been projected. The highest flow velocities and turbulence density were observed between the campus buildings, and when the temperature distributions were examined, dramatic decreases were found in the building temperatures on the windward facade. The maximum wind loads, temperature distributions and so on have been detected and according to the results, recommendations have been made.
Study on Typhoon Disaster Assessment by Mining Data from Social Media Based on Artificial Neural Network
Authors: Li Shaopan , Wang Yan , Huang Hong , Huang Lida , Chen Yang 
Published: July 2022

Abstract
Typhoon disaster is a major threat to the economy and personnel safety in coastal areas. After the disaster, the objective assessment of typhoon disaster economic losses can provide an important reference for the post-disaster rescue and reconstruction and improve the scientific decision-making. In this study, social media data, disaster causing factors, disaster bearing carriers (exposure and vulnerability) and other factors in traditional disasters were combined to achieve rapid disaster assessment. Convolutional neural networks were used to train a text classifier and perform automatic text classification of social media data. The correlations were discussed between various texts and disaster economic losses. It was found that there was a strong correlation between the geographical distribution of texts describing disaster damage and disaster economic losses. A Back Propagation neural network was used for supervised learning to realize disaster loss assessment. To prove the reliability and applicability of the evaluation model, typhoons “Mangkhut” and “Lekima” were selected as study cases to realize the whole process from information collection to final assessment. The introduction of social media data modified the assessment results obtained by traditional methods and reduced the difference between the estimated disaster loss value and the actual value.