bluuebunny/crossref_metadata_2025_split huggingface dataset:
STAIN Defect Classification by Gabor Filter and Dual-Stream Convolutional Neural Network
Authors: Ha minho , Kim Young-Gyu , Park Tae-Hyoung 
Published: September 2022

Abstract
A STAIN defect is difficult to detect with the naked eye because of its characteristic of having a very minimal difference in brightness with the local area of the surface. Usually, background extraction–based and Gabor filter–based texture feature–based methods have been proposed to detect STAIN defects. Recently, with the development of deep learning, the convolutional neural network (CNN)–based detection method has been proposed. Gabor filter images have an advantage in image texture analysis and can be used as an input to the CNNs. However, because the original image and the Gabor filter image have different domains, it is necessary to design a CNN that can extract features advantageous for STAIN defect classification. In this paper, a CNN for STAIN defect classification using the original image and Gabor filter image was proposed. A Gary-Level Co-occurrence Matrix (GLCM) matrix from the Gabor filter image was constructed, and then the Inverse Difference Moment (IDM) value, which is a homogeneity local feature, was extracted. Gabor filter images suitable for STAIN defect classification were selected using IDM values, and a STAIN defect detection system that uses the selected Gabor filter images and the inspection image as an input to the CNN was constructed. As a result of the experiment based on the magnetic tile data set and the compact camera module (CCM) dataset, it was confirmed that the proposed method has an improved performance based on the precision, recall, and F1-score in comparison to the single-stream CNN-based method.
Construction of a SNP fingerprinting database and population genetic analysis of 329 cauliflower cultivars
Authors: Yang Yuyao , Lyu Mingjie , Liu Jun , Wu Jianjin , Wang Qian , Xie Tianyu , Li Haichao , Chen Rui , Sun Deling , Yang Yingxia , Yao Xingwei 
Published: September 2022

Abstract
Cauliflower is one of the most important vegetable crops grown worldwide. However, efforts to improve cauliflower are hindered by the lack of genetic diversity information and efficient molecular markers. In this study, we aim to construct DNA fingerprints for 329 cauliflower cultivars based on SNP markers and the KASP system. After rigorous filtering, a total of 1,662 candidate SNPs were obtained from nearly 17.9 million SNP loci. The mean values of PIC, MAF, heterozygosity and gene diversity of these SNPs were 0.389, 0.419, 0.075, and 0.506, respectively. To generate ideal SNP marker sets from the candidates, we developed a program for in silico simulations on 153 core cauliflower germplasm samples. Finally, 41 highly polymorphic KASP markers were selected and applied in the identification of 329 cauliflower cultivars which were mainly collected from public market. Furthermore, based on the KASP genotyping data, we performed phylogenetic analysis and population structure analysis of the 329 cultivars. As a result, these cultivars could be classified into three major clusters, and the classification patterns were significantly related to their curd solidity and geographical origin. Finally, fingerprints of the 329 cultivars and 2D barcodes with genetic information of each sample were generated. The fingerprinting database developed in this study provides a practical tool for identifying the authenticity and purity of cauliflower seeds and valuable genetic information of the current cauliflower cultivars.
Mechanical Properties and In-situ Stress Measurement by Rock Core Samples Drilling from a Large Section Underground Station
Authors: Li Diyuan , Zhou Aohui , Wang Lichuan , Chen Yuda , Ma Chunde 
Published: September 2022

Abstract
Chongqing is a mountain city in western China, with complex geological environment, which brings many difficulties to the construction of large section underground projects. The construction experience of a large number of underground projects shows that ordinary engineering geological survey is difficult to meet the requirement of engineering design and construction. Therefore, on the basis of the initial survey, intensive drilling and coring work were carried out for the engineering area of the Guobo underground station with large cross-section to be built, and the basic mechanical, softening properties of the surrounding rock and in-situ stress field of the project area are obtained by laboratory tests. Based on the present experimental results and engineering experiences, it is proposed that the potential risks of Guobo station excavation include: ①bias pressure;②High in-situ stress;③Surrounding rock deterioration. The present study has practical significance for the design and construction of Guobo underground station, and it has certain reference value for the construction of underground projects in similar geological areas.
Identification of miRNAs progressively deregulated in the biological model of gastric carcinogenesis
Authors: Ayala-Diaz Sergio , Manzo-Merino Joaquin , Morales-Espinosa Rosario , Flores-Fortis Mauricio , Lopez-Santacruz Roberto , Perales-Oliva Jorge Arturo , Garcia-Navarro Angel R. , Lino-Silva Leonardo S. , Delgado Gabriela , Aguilar-Ruiz Amairani , Garcia-Vasquez David , Oñate Luis F. , Herrera-Goepfert Roberto , Arechaga-Ocampo Elena 
Published: September 2022

Abstract
Gastric adenocarcinoma is the result of the progression of preneoplastic lesions in gastric mucosa. Helicobacter pylori (H. pylori) infection is the main environmental risk factor linked to the multistep progression from precancerous conditions to gastric cancer. Identification of early diagnosis biomarkers in preneoplastic lesions could prevent progression to cancer. microRNAs (miRNAs) are non-coding RNAs that have emerged as promising candidates with diagnostic and prognostic potential. miRNAs differentially expressed and functional enrichment analysis were identified in miRNomes of gastric preneoplastic samples available at the European Nucleotide Archive (ENA) and in gastric adenocarcinoma samples from TCGA databases by limma-voom linear model on the Galaxy Collections platform and R package. The prognostic value of miRNAs was evaluated by Kaplan-Meier assays. The expression level of miR-18a-5p was determined by RT-qPCR in preneoplastic lesion samples from Mexican patients positive to pathogenic H. pylori and in the H. pylori-AGS cells co-cultures. Fifteen miRNAs were progressively deregulated in the multistep gastric carcinogenesis model, and they were predictors of the outcome in gastric adenocarcinoma patients. Additionally, miR-18a-5p was significantly upregulated in gastric tumors compared to normal gastric epithelium samples and it was also associated with better overall survival in GC patients. The expression of miR-18a-5p was significantly inhibited in gastric preneoplastic lesions positive to pathogenic H. pylori. Further, miR-18a-5p was up-regulated in AGS cells infected with pathogenic H. pylori strain. In conclusion, miRNAs signature distinguished the gastric lesions through malignant transformation process, including miR-18a-5p, which was exclusively associated with H. pylori infection.
Making good decisions is hard when you are at your worst: Investigating the degree of users’ decision-making in an e-Mental health service
Authors: Bartali V. , Brandl L. , Karreman J. , Velsen L. van 
Published: September 2022

Abstract
Background. Empowering people to decide on their health has proven to be beneficial and to enable the creation of a therapeutic alliance. This could be the same in an e-Mental health service. However, little is known about the degree of decision-making people should have when using such services and when they are seriously depressed or in a life-threatening situation.
Method. The topic was explored through two studies. The first study was a quantitative study to investigate how much decision-making freedom the self-help e-Mental health service allowed and in what situation (serious or less serious mental complaints) the service could be used. Participants were randomly assigned to one of four prototypes of a self-help e-Mental health service (for elderly people) with a different degree of decision-making and level of gravity of the situation. Afterwards, they were asked to fill in a survey to measure autonomy, competence, relatedness, privacy, safety, patient-technology alliance and intention to use. To analyse the data, ANOVAs and regression analyses were performed. In a second, qualitative study, 10 (clinical) experts with different backgrounds were interviewed about the degree of decision-making elderly people should have when using an e-Mental health service. The interviews were analysed via open and axial coding.
Results. For the first study, 72 elderly people were recruited. No significant effect of decision-making and level of gravity was found. Relatedness significantly influences patient-technology alliance and intention to use. Additionally, patient-technology alliance significantly influences intention to use. For the second study, it was found that control is central for users, even if it is more difficult for people who are seriously depressed or in a critical situation. Nonetheless, design and technical suggestions on how to support users of e-Mental health services who have more serious symptoms are presented, including personalization, a three-steps approach to control, and setting goals.
Conclusions. The results of this study can be applied to other self-help e-Mental health services with therapeutic purposes. Additionally, further research is needed to understand which other factors, together with relatedness, can influence the creation of a therapeutic alliance and how to foster intention to use.
Laws of high-pressure phase and nanostructure evolution and severe plastic flow
Authors: Levitas Valery , Lin Feng , Pandey Krishan , Yesudhas Sorb , Park Changyong 
Published: September 2022

Abstract
Study of the plastic flow, strain-induced phase transformations (PTs), and microstructure evolution under high pressure is important for producing new nanostructured phases1–10 and understanding physical1,2,7−10 and geophysical11–13 processes. However, these processes depend on an unlimited combination of five plastic strain components and an entire strain path with no hope of fully comprehending. Here, we introduce the rough diamond anvils (rough-DA) to reach maximum friction equal to the yield strength in shear, which allows determination of pressure-dependent yield strength. We apply rough-DA to compression of severely pre-deformed Zr. We found in situ that after severe straining, crystallite size and dislocation density of α and ω-Zr are getting pressure-, strain- and strain-path-independent, reach steady values before and after PT, and depend solely on the volume fraction of ω-Zr during PT. Immediately after completing PT, ω-Zr behaves like perfectly plastic, isotropic, and strain-path-independent. Rough-DA produce a steady state in α-Zr with lower crystallite size and larger dislocation density than smooth diamonds. This leads to a record minimum pressure (0.67 GPa) for α-ω PT with rough-DA, much smaller than 1.36 GPa with smooth diamonds, 6.0 GPa under hydrostatic condition, and phase equilibrium pressure, 3.4 GPa14. Kinetics of strain-induced PT, in addition to plastic strain, unexpectedly depends on time. This opens an unexplored field of the simultaneous strain- and stress-induced PTs under pressure. The obtained results create new opportunities in material design, synthesis, and processing of nanostructured materials by severe plastic deformations at low pressure. Rough-DA can be utilized for finding similar laws for various material systems. The above plethora of results was obtained in a single experiment, thus transforming the main challenge—strongly heterogeneous fields in a sample—into a great opportunity.
Novel y-type and hybrid solutions for the (2+1)-dimensional Korteweg-de Vries-Sawada-Kotera-Ramani equation
Authors: ma hongcai , Gao Yidan , Deng Aiping 
Published: September 2022

Abstract
In this paper, the research object is (2+1)-dimensional KdVSKR equation. After adding new constraint, new solutions which contain y-type molecules are obtained. The process of lump molecules and y-type molecules before and after the collision is studied by long-wave limit method, and the kinetic behavior analysis is given. The interactions between y-type molecules and resonant soliton molecules, y-type molecules and breather molecules are obtained by combining velocity resonance method and mode resonance method, respectively. Finally, a novel hybrid solution containing lump molecule, breather molecule and y-type molecule is given, and the kinetic behavior is shown.
Cryptosporidium infection in cattle and sheep in central Oromia, Ethiopia
Authors: Ayana Aga Dinka , Kumsa Eseta Bersissa , Alkadir Bacha Gebayehu 
Published: September 2022

Abstract
Background: Cryptosporidiosis is commonly caused by Cryptosporidium parvum and causes gastrointestinal illness in a wide variety of mammals including humans, cattle, sheep, goats, pigs and horses worldwide. Methods: A cross sectional study was conducted from December 2021 to July 2022 to estimate the prevalence, identify associated risk factors and estimate infection intensity of the parasite in cattle and sheep in Central Oromia. Fecal flotation sheathers’ solution and modified acid fast technique were used to identify Cryptosporidium oocysts from fecal samples. Results: Out of 687 fecal samples examined, 182 (34.2%) cattle and 30(19.4%) sheep were found to be infected with Cryptosporidium. There was a significant difference (P< 0.05) in the Cryptosporidium infection between age groups of cattle with higher prevalence in young (43.4%) than adult age group (28.4%). Similarly, there was a significant difference (P< 0.05) in Cryptosporidium infection among study sites. There was also a significant difference in Cryptosporidium infection between production systems with higher prevalence in intensive production system (38.7%) than the extensive system (21.6%). There was a significant difference in the intensity of infection of Cryptosporidium (P= 0.000) between the age groups of cattle with more burden of infection in the young age category than the adult age group. Conclusion: The present study indicated that Cryptosporidium is widely distributed in cattle and sheep in the study areas. Significant number of adult animals were infected with this parasite indicating that adult animals could also play a great role in the parasite transmission. The majority of Cryptosporidium infections in both cattle and sheep were mild.
Novel correlative analysis identifies multiple genomic variations impacting ASD with macrocephaly
Authors: Wynshaw-Boris Anthony , fu chen , Ngo Justine , Zhang Shanshan , Lu Leina , Miron Alexancer , Schafer Simon , Gage Fred , Jin Fulai , Schumacher Frederick 
Published: September 2022

Abstract
Autism spectrum disorders (ASD) display both phenotypic and genetic heterogeneity, impeding the understanding of ASD and development of effective means of diagnosis and potential treatments. Genes affected by genomic variations for ASD converge in dozens of gene ontologies (GOs), but the relationship between the variations at the GO level have not been well elucidated. In the current study, multiple types of genomic variations were mapped to GOs and correlations among GOs were measured in ASD and control samples. Several ASD-unique GO correlations were found, suggesting the importance of co-occurrence of genomic variations in genes from different functional categories in ASD etiology. Combined with experimental data, several variations related to WNT signaling, neuron development, synapse morphology/function and organ morphogenesis were found to be important for ASD with macrocephaly, and novel co-occurrence patterns of them in ASD patients were found. Further, we applied this gene ontology correlation analysis method to find genomic variations that contribute to ASD etiology in combination with changes in gene expression and transcription factor binding, providing novel insights into ASD with macrocephaly and a new methodology for the analysis of genomic variation.
Assessment of print quality and coffee-ring effect acquired on wool and cotton fabrics inkjet printed with herbal inks
Authors: Thakker Alka Madhukar , Sun Danmei 
Published: September 2022

Abstract
In this study, the ecologically pre-treated wool and cotton fabrics were digitally printed with eco-friendly plant-based inks of blue, red, yellow, and black colours obtained from the plant extracts of bio indigo leaves, quebracho red bark and the flame of the forest flowers. It was found that the Plasma Surface Treated (PST) wool and cotton fabrics exhibited improved print quality demonstrating clearer edges, sharp lines, and uniform solid patterns. The perceived uneven line and solid pattern were attributed to patchy pre-treatment. The plant-based inks constituted from the Quebracho red bark and the flame of the forest flowers extract both demonstrated reduced dispersion diameter (i.e. diffused) for the PST wool and cotton fabric than the untreated (NPST). These findings could be applied for digital printing on photonics to combat the Coffee-ring effect. The possible explanation for the reduced coffee ring effect is the phenomenon known as Marangoni flow. The predominant phytochemicals functioning as chromophores namely indigotin, tannin and butein enclosed in respective plant extracts are highlighted. The Life Cycle Analysis and assessment of functional phytochemicals on the resultant printed fabrics are suggested for future work.
Neohesperidin alleviates the neuropathic pain behavior of rats by downregulating the P2X4 receptor
Authors: Wang Yueying , Li Chenxi , Xing Jingming , Zhu Yan , Sun Minghao , Yin Sui , Liu Jianming , Zou Lifang , Liang Shangdong , Liu Shuangmei 
Published: September 2022

Abstract
Neuropathic pain (NP) is a type of chronic pain affecting 6–8% of human health as no effective drug exists. The purinergic 2X4 receptor (P2X4R) is involved in NP. Neohesperidin (NH) is a dihydroflavonoside compound, which has anti-inflammatory and antioxidative properties. This study aimed to investigate whether NH has an effect on P2X4R-mediated NP induced by chronic constriction injury (CCI) of the sciatic nerve in rats. In this study, the CCI rat model was established to observe the changes of pain behaviors, P2X4R, and satellite glial cells (SGCs) activation in dorsal root ganglion (DRG) after NH treatment by using RT-PCR, immunofluorescence double labeling and Western blotting. Our results showed CCI rats had mechanical and thermal hyperalgesia with an increased level of P2X4R. Furthermore, SGCs were activated as indicated by increased expression of glial fibrillary acidic protein and increased tumor necrosis factor-alpha receptor 1and interleukin-1β. In addition, phosphorylated extracellular regulated protein kinases and interferon regulatory factor 5 in CCI rats increased. After NH treatment in CCI rats, the levels of above protein decreased, and the pain reduced. Overall, NH can markedly alleviate NP by reducing P2X4R expression and SGCs activation in DRG.
Fire-weather drivers of severity and spread: learning from past fire patterns to inform future wildfire decision making
Authors: Mueller Stephanie Ellen , Young Jesse D , Thode Andrea E , Engbring Matt , Marks Christopher 
Published: September 2022

Abstract

Background
Fire is an essential component in restoring and maintaining healthy forests. However, historic land use and decades of fire suppression has excluded fire from millions of forested hectares across much of the western United States, including Grand Canyon National Park (GCNP). Forest management at GCNP aims to reduce wildfire vulnerability by applying fire (both natural and planned ignitions) to remove forest vegetation and forest fuels and promote species diversity. However, the cost, complexity, and concerns associated with managing fire for resource benefit requires that fire managers utilize and implement locally relevant, science-based knowledge to strategically identify when and where to use fire to produce the greatest benefit. Observations from GCNP, topographic variation and weather were used to assess thresholds that affect burn severity and fire spread to identify conditions that may be beneficial or incompatible with multiple resource objectives.
Results
For ponderosa pine and mixed conifer forests, we developed burn severity and fire spread models by incorporating fire weather variables using gradient boosting machine learning on multi-day wildfires between 2000 and 2018. Elevation, wind, and vapor pressure deficit (VPD) were among the most influential across all models. Elevation was the most influential predictor for both the ponderosa pine severity and spread models. Wind and topographic roughness index were the most influential predictors in the mixed conifer spread and mixed conifer severity models, respectively. Using these models, prediction tables were generated to characterize expected burn severity and fire spread associated with common weather conditions, based on elevation, wind, and VPD. At lower elevations, a VPD threshold between low and moderate severity of 2.0kPa with winds between 8-10mph in both severity models was observed. Thresholds of VPD and wind decreased as elevation increased. In both forest types, average wind speeds greater than 4mph were found to be a threshold for fire spread. Greater fire spread was observed as winds and VPD increased.
Conclusions
Prediction tables can provide fire staff with a quick but comprehensive assessment of the relative likelihood of expected fire activity during changing weather conditions over the course of a fire event or season based on previous fire activity at GCNP.