bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sedimentology and Geochemistry of Upper Devonian Deposits in the Southeastern Framework of the West Siberian Geosyneclise
Authors: Saraev S.V. , Ganashilin A.S. 
Published: February 2022

Abstract
—We have studied an Upper Devonian volcanoterrigenous carbonate complex in the north of the Kuznetsk trough. The northern part of the complex is subducted beneath the Meso–Cenozoic sedimentary cover of the West Siberian geosyneclise. Analysis of sedimentologic processes, the nature and specific composition of pyroclastic impurity, and the petrographic and chemical compositions of sedimentary rocks makes it possible to reconstruct the facies and geodynamic settings. It is shown that the fine-grained pyroclastic material is predominantly of andesite composition, whereas felsic and mafic volcanic components are subordinate. In the transition from the lower Frasnian to the Famennian, the content of felsic pyroclastic component increases. The geodynamic settings of the shelf and continental slope of the Siberian continent up to its base have been established. Facies analysis shows that the slope is west-facing (in the present-day coordinates). The deposits accumulated mainly in the basin; these are fine-grained terrigenous rocks, fine-grained limestones, slope landslide breccias and olistostromes, turbidites, and “conglomerate-like limestones” (paleoseismites). According to the geochemical data, the Late Devonian paleogeodynamic setting was stable and corresponded to the setting of an active continental margin. Arid to semihumid lithogenesis has been established. Marine sediments formed in an oxidizing environment with good water aeration.
Multi-modality MRI fusion for Alzheimer’s disease detection using deep learning
Authors: Houria Latifa , Belkhamsa Noureddine , Cherfa Assia , Cherfa Yazid 
Published: February 2022

Abstract
Diffusion tensor imaging (DTI) is a new technology in magnetic resonance imaging, which allows us to observe the insightful structure of the human body in vivo and non-invasively. It identifies the microstructure of white matter (WM) connectivity by estimating the movement of water molecules at each voxel. This makes possible the identification of the damage to WM integrity caused by Alzheimer’s disease (AD) at its early stage, called mild cognitive impairment (MCI). Furthermore, the brain’s gray matter (GM) atrophy characterizes the main structural changes in AD, which can be sensitively detected by structural MRI (sMRI) modality. In this research, we further develop a novel multi-modality MRI (DTI and sMRI) fusion strategy to detect WM alterations and GM atrophy in AD patients. The latter is based on a 2- dimensional deep convolutional neural network (CNN) features extractor and a Support Vector Machine (SVM) classifier. The fusion framework consists of merging features extracted from DTI scalar metrics (fractional anisotropy (FA) and mean diffusivity (MD)), and GM using 2D-CNN and feeding them to SVM to classify AD vs. cognitively normal (CN), AD vs. MCI, and MCI vs. CN. Our novel multimodal AD method demonstrates a superior performance with an accuracy of 99.79%, 99.6%, and 97.00% for AD/CN, AD/MCI, and MCI/CN respectively.
Reduced risk of serious pneumococcal infection up to 10 years after 7-valent pneumococcal conjugate vaccine in arthritis patients
Authors: Nagel Johanna , Jönsson G , Nilsson J-Å , Manuswin C , Englund M , Saxne T , Kapetanovic MC 
Published: February 2022

Abstract
Background: To examine rates of serious pneumococcal infections up to 10 years after vaccination with 7-valent conjugated pneumococcal vaccine (PCV7) in patients with arthritis compared to non-vaccinated arthritis patients.Methods: In total, 595 adult arthritis patients (rheumatoid arthritis; RA=342, 80% women and spondylarthropathy; SpA=253, 45% women) received one dose of PCV7. Mean age/disease duration were 62/16 and 51/14 years, respectively. For each patient, 4 matched reference subjects were identified.At vaccination, 420 patients received bDMARDs (anti-TNF=330, tocilizumab=15, abatacept=18, anakinra=1, rituximab=56). Methotrexate was given as monotherapy (n=86) or in combination with bDMARD (n=220). 89 SpA patients received NSAIDs without DMARD. The Skåne Healthcare Register was searched for ICD-10 diagnostic codes for pneumococcal infections (pneumonia, lower respiratory tract infection, septicemia, meningitis, septic arthritis) between January 2000 and December 2018. Frequency of infections after vs before vaccination were calculated (relative risks). Relative risk ratio (RRR) and relative risk reduction (1-RRR) were calculated comparing patients vs non-vaccinated references. Kaplan-Meier and Cox regression were used to investigate time to first event and predictors of infections.Results: Among vaccinated RA and SpA patients, there was a significant relative risk reduction of pneumonia and all serious infections; 53% and 46%, respectively. There was no significant difference in time to first pneumonia or all serious infections after vaccination between patients and references. Higher age, RA diagnosis and concomitant prednisolone were associated with infections.Conclusion: One dose of pneumococcal conjugate vaccine may decrease risk of serious pneumococcal infection up to 10 years in patients with arthritis receiving immunomodulating treatment. Clinical trial registration number: EudraCT EU 2007-006539-29 and NCT 00828997Date of study registration: 26/01/2009Date of first patient inclusion: 08/05/2008
Class-specific extreme learning machine based on overall distribution for addressing binary imbalance problem
Authors: Raghuwanshi Bhagat Singh 
Published: February 2022

Abstract
Imbalanced classification problems have significantly unequal class proportions. Conventional extreme learning machine (ELM) gives the same importance to all the samples leading to the results which favor the majority class. To solve this intrinsic deficiency, modification of ELM have been developed like weighted ELM (WELM), WELM based on the overall distribution (ODW-ELM) etc.. We have also recently developed class-specific ELM (CS-ELM) in one of our recent works. It has been shown in this work that the derivation of the output weights, $\boldsymbol{\beta}$ is more efficient compared to class-specific cost regulation ELM (CCRELM) for handling the class imbalance problem. Motivated by CCR-ELM X. Luo et al. has proposed the classifier ODW-ELM which is also not efficient for the imbalance learning. In this work, a novel class-specific WELM based on overall distribution (OD-CSELM) and the kernelized version of OD-CSELM (OD-CSKELM) is proposed to address the binary class imbalance problem more effectively. OD-CSELM and OD-CSKELM are motivated by CS-ELM. In addition, the computational complexities of OD-CSELM and OD-CSKELM are significantly lower than WELM and kernelized WELM respectively. The proposed work is evaluated by using the benchmark real-world imbalanced datasets. The experimental results demonstrate that the proposed work gives good generalization performance in contrast with rest of the classifiers for class imbalance learning.
Design, Manufacture and Experimental Characterization of Magnetorheological Rotary Brake Based on an Peristaltic Pump System
Authors: Korona Tomasz , Kowol Pawel , SCIUTO GRAZIA LO 
Published: February 2022

Abstract
In this article the design and manufacture of the innovative MR rotarybrake based on a peristaltic pump inspired by the concept model of thepliers and the Rochester Pean forceps are presented. For the calculationand analysis of created structure comprehensive of roller, housingand pliers, simulations concerning the stress and strain are conductedto investigate the deformation and possible failure of part or assembly.Experimental tests, including measurements and testing of compressionforce and magnetic field were conducted to evaluate the performanceof proposed design MR rotary brake based on peristaltic pump systemconstituted by tube containing MR fluid and pliers with armresponsible of the movement and arm completely hold on bench vise
The combined use of PD-1 antibodies and anti-angiogenic TKIs induces intractable thoracoabdominal wall ulcer in patients undergoing cryoablation for superficial metastases of hepatocellular carcinoma
Authors: Liu shousheng , Wang Xun , Peng Kunwei , Xu Xia , Lyu Ning , He Meng , Zhang Bei , Zhao Ming 
Published: February 2022

Abstract
Background: Percutaneous cryoablation has been widely used for local analgesia, especially for pain caused by superficial metastases. However, during the process of cryoablation for symptomatic superficial metastases of hepatocellular carcinoma (HCC), we observed that some patients developed intractable thoracoabdominal wall ulcer at the periphery of puncture points. In order to explore the potential causes of thoracoabdominal wall ulcer after cryoablation, we carried out this retrospective study. Methods: We screened out 36 patients who underwent local cryoablation for superficial metastases (chest wall, abdominal wall, rib, clavicle and scapula) of HCC, of which 6 patients developed refractory thoracoabdominal wall ulcer. Clinical characteristics between ulcer and no ulcer groups were compared using the Pearson Chi square test. Risk factors for thoracoabdominal wall ulcer were screened using binary logistic regression model. Results: All clinical factors, except for the administration of PD-1 antibodies plus anti-angiogenic tyrosine kinase inhibitors (TKIs) within 2 months before (p = 0.016) and after (p = 0.000) cryoablation, were balanced between the ulcer and no ulcer groups (all p > 0.05). Combined use of PD-1 antibodies and anti-angiogenic TKIs within 2 months after cryoablation was the only significant risk factor for thoracoabdominal wall ulcer (OR = 55.55, 95% confidence interval (CI) 2.62-1179.46, p = 0.010) in multivariate logistic regression model. Among the 8 patients who received combination therapy within 2 months after procedure , thoracoabdominal wall ulcer occurred in 5 patients (62.5%). Among the 6 patients who developed thoracoabdominal wall ulcer, 3 patients died due to tumor progression, 2 patients improved their ulcers after PD-1 antibodies withdrawal and 1 patient was still under monitoring after stopping anti-PD-1 therapy.Conclusions: HCC patients underwent combination therapy of PD-1 antibodies and anti-angiogenic TKIs within 2 months after cryoablation for superficial metastases is prone to develop thoracoabdominal wall ulcer.
Health-related quality of life and associated factors in Chinese menstrual migraine patients: a cross-sectional study
Authors: Luo Wenxiu , Cao Xing , Zhao Jiayu , Yang Jiaming , Cen Yu , He Jinlong , Luo Jing , Zhong Yunling , Luo Ying , Wang Xinyue , Yang Liqiu , Feng Xingyu , Pang Xiaoqing , Zhang Jiazhu , Luo jiaming 
Published: February 2022

Abstract
Background: Menstrual migraine is a special form of migraine with significant impact on quality of life for those women afflicted. Presently, there is no study reported on quality of life in menstrual migraine patients. The study reported here aimed to assess the health-related quality of life and identify its associated factors among Chinese menstrual migraine patients. Methods: The cross-sectional study group consisted of 109 patients with menstrual migraine and the control group consisted of 397 female patients with non-menstrual migraine. In total, 506 patients completed questionnaires for demographic and clinical information, Self-rating Idea of Suicide Scale, Hamilton Depression Scale, Hamilton Anxiety Scale, Headache Impact Test-6, Perceived Social Support Scale, Pittsburgh Sleep Quality Index. Health-related quality of life was measured using the 36-Item Short Form Survey. Results: Compared with non-menstrual migraine patients, five dimensions of health-related quality of life were all found to be significantly impaired in menstrual migraine patients. Headache frequency (ß=-0.218, P=0.014), the impact of headache on daily life (ß=-0.270, P=0.002), depression symptoms (ß=-0.345, P<0.001) were significantly associated with physical component summary, depression symptoms (ß= -0.379, P<0.001), social support (ß=0.270, P<0.001), suicidal ideation (ß=-0.344, P<0.001) were closely related to mental component summary. Conclusion: Menstrual migraine patients had significantly poorer health-related quality of life in many domains than non-menstrual migraine patients. Headache frequency, the impact of headache on daily life, depression symptoms, social support and suicidal ideation were significantly associated with health-related quality of life in menstrual migraine patients.Trial registration: ChiCTR1800014343. Registered 01 July 2018 at Chinese Clinical Trial registry. http://www.chictr.org.cn/showproj.aspx?proj=24526
Automatic No-reference Quality Assessment in Chest Radiographs Based on Deep Convolutional Neural Networks
Authors: Meng Yu , Gao Yang , Jin Jianqiu , Ruan Jingru , He Linyang , Shen Qiang , Gong Xiangyang 
Published: February 2022

Abstract
Background: Chest radiography is the most frequently performed examinations in the department of radiology. The image quality plays an essential role in further decision making of dignosis. The current manual assessment is low-efficiency with significant inter-observer variability. The purpose of this study is to develop and evaluate the performance of deep learning-based model for the automatic quality assessment in chest radiographs. Methods: A set of 1138 posterior-anterior chest radiographs were included in this retrospective study, which were randomly divided into training (n = 826), validation (n = 207), and testing sets (n = 105). The image quality was evaluated on the aspect of gray-level and sharpness. Ten experienced experts independently assessed all radiographs with a score of 1 to 10 based on their subjective perception for the image quality. On the testing set, three of the ten experts classified chest radiographs as acceptable or non-acceptable based on the image quality further. A neural network model CaHDC-RGA was trained to output the quality score of the gray-level and sharpness automaticlly. The intra-class correlation coefficient (ICC), Pearson correlation coefficient (r), and mean absolute difference (MAD) were used for quantitative scoring. The AUC value, sensitivity, and specificity were used for binary classification. Time spent by model and experts were recorded, respectively. Results: A statistically significant correlation was observed between the model and experts on the aspect of gray-level (ICC=0.92, r = 0.91, MAD=0.45) and sharpness (ICC=0.90, r = 0.89, MAD=0.44). For the classification of image quality as acceptable or non-acceptable, the model achieved an AUC of 0.972 for gray-level, with a sensitivity of 93.90% and a specificity of 95.69%. The AUC for sharpness was 0.970, with a sensitivity of 87.95% and a specificity of 100%. The average time spent by the model was significantly shorter than the human expert's (3.03 seconds VS. 10.96 seconds, P < 0.05).Conclusions: The developed deep learning model could rapidly and automatically evaluate the gray-level and sharpness of chest radiographs, the performance of the model was comparable with the subjective perception of human experts. The model may be further applied to automated quality audits of full samples.
Genotypic variations in GST genes reveal a regulatory role in the accumulation of caffeoylquinic acids in leafy sweet potato
Authors: SOVIGUIDI Deka Reine Judesse , Liu Yi , Pan Rui , Abou-Elwafa Salah Fatouh , Zhang Wenying , Yang Xinshun 
Published: February 2022

Abstract
Leafy sweet potato is rich in caffeoylquinic acids (CQAs), including monoCQAs and diCQAs, which are important for plant resistance to environmental stresses. Knowledge about genes responsible for the accumulation of these CQAs is limited. However, the implication of glutathione S-transferase (GST) genes in the metabolism of plant secondary compounds has been reported. Yet, the mechanism of CQA-related GST proteins is not well understood. In this study, two sweet potato GST genes i.e., itb01g35330 (IbGSTTCHQD) and itb09g30700 (IbGSTT) were selected from our transcriptome database as they exhibited secondary metabolism functions based on gene ontology classification, and investigated for their association with the accumulation of CQAs. Sequence comparison of the IbGST coding regions amplified from EC16 and FS7-6 leafy sweetpotato varieties revealed some mutations at different sites in the amino acid sequences between the two varieties. Besides, the genes were highly expressed in EC16 compared to FS7-6, which corresponded to the amounts of CQAs in both varieties. The amplified sequences from EC16 were further transformed into Agrobacterium tumefaciens and subsequently introduced into Nicotiana benthamiana and Nicotiana tabacum for transient expression and transgenic transformation, respectively. Gene expression profiling in both experimental methods revealed significant increases of IbGST transcripts in transformed leaves, resulting in enhanced amount of monoCQAs compared to the wild types. However, no significant change was observed in the level of diCQAs. Moreover, the IbGSTs responded positively to salinity and oxidative stresses. Our findings suggested that IbGSTTCHQD and IbGSTT genes might be involved in the accumulation of monoCQAs in leafy sweet potato.
Superior incident photon‐to‐current conversion efficiency of Mo-doped activated carbon supported CdS-sensitized solar cells
Authors: Batur Ebru , Kutluay Sinan , Baytar Orhan , Şahin Ömer , HOROZ Sabit 
Published: February 2022

Abstract
In this study, the performance of activated carbon (AC) produced from defatted black cumin (Nigella Sativa L.) by chemical activation with zinc chloride (ZnCl2) activator in photovoltaic application is evaluated. It is of great importance to increase the photovoltaic efficiency of cadmium sulfide (CdS) based solar cells, which are widely used in photovoltaic applications, with AC support. The main purpose of the study is to determine how the incident photon‐to‐current conversion efficiency (IPCE) of undoped and Mo-doped AC supported CdS semiconductor materials changes in the presence of AC support material and to interpret the observed effect in the light of literature. For these reasons, in the study, AC supported CdS (CdS/AC) (5%, 10% and 15% by weight) and Mo-doped CdS/AC semiconductor materials with different molybdenum (Mo) concentrations (0.33%, 1%, 3%) are produced by chemical precipitation method. Produced CdS/AC and Mo-doped CdS/AC semiconductor materials are characterized by incident photon-to-current efficiency (IPCE), scanning electron microscopy (SEM), x-ray diffraction (XRD), energy-dispersive x-ray spectroscopy (EDX), and x-ray photoelectron spectroscopy (XPS) measurements. Based on the result values, the optimum CdS concentration with the highest IPCE (%) value is determined as 10% (for CdS/AC). As a result of the experimental measurements, the optimum Mo concentration with the maximum IPCE (%) value is found as 1% (for Mo-doped CdS/AC). In particular, it is clear that an appreciable increase (from 4.70% to 39.00%) in IPCE (%) of 1% Mo-doped 10% CdS/AC semiconductor material is achieved when compared to pure CdS. Thus, the ability to increase the photovoltaic efficiency of CdS-based solar cells, which are widely used in photovoltaic applications, with AC support has been clearly demonstrated. This study presents a new strategy to increase the solar cell efficiency of semiconductor-based solar cell structures using biowaste-based AC supported CdS semiconductor materials.
Genomic Signature of MTOR Could Be an Immunogenicity Marker in Human Colorectal Cancer
Authors: Wang Chenxing , Aikemu Batuer , Shao Yanfei , Zhang Sen , Yang Guang , Hong Hiju , Huang Ling , Jia Hongtao , Yang Xiao , Zheng Minhua , Sun Jing , Li Jianwen 
Published: February 2022

Abstract
Background
The mTOR signaling pathway plays an important role in cancer. As a master regulator, the status of MTOR affects pathway activity and the efficacy of mTOR inhibitor therapy. However, little research has been performed to explore MTOR in colorectal cancer (CRC).
Methods
In this study, gene expression and clinical data were analyzed using The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Signaling pathways related to MTOR in CRC were identified by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA). Somatic mutation data were downloaded from TCGA and analyzed using the maftools R package. Tumor Immune Estimation Resource (TIMER) and CIBERSORT were used to analyze correlations between MTOR and tumor-infiltrating immune cells (TIICs). Finally, we detected MTOR mutations in a CRC cohort from our own database using whole-exome sequencing.
Results
We found that MTOR was overexpressed in Asian CRC patients and associated with a poor prognosis. Enrichment analysis showed that MTOR was involved in metabolism, cell adhesion, and translation pathways in CRC. High MTOR expression was correlated with high tumor mutation burden (TMB) and several TIICs. Finally, we found that the mTOR signaling pathway was activated in CRC lines characterized by microsatellite instability (MSI), and the frequency of MTOR mutations was higher in MSI-high (MSI-H) patients than in microsatellite stable (MSS) patients.
Conclusions
MTOR may represent a comprehensive indicator of prognosis and immunological status in CRC. The genomic signatures of MTOR may provide guidance for exploring the role of mTOR inhibitors in CRC.
Insights on the Cellulose Pretreatment at Room Temperature by Choline-Chloride-Based Deep Eutectic Solvents: An Atomistic Study
Authors: Sánchez-Badillo Joel A. , Gallo Marco , Rutiaga-Quiñones José G. , Garza Jorge , Lopez-Albarran Pablo 
Published: February 2022

Abstract
The pretreatment or disruption of a cellulose Iβ crystallite, was described from the atomistic interactions evaluated at room temperature within four deep eutectic solvents: choline-chloride ethylene glycol, choline-chloride oxalic acid, choline-chloride urea, and choline-chloride levulinic acid. The analysis was based on the obtained correlations for the Kamlet-Taft α and β parameters with a series of thermodynamic, structural, and energetic properties. The Kamlet-Taft parameters correlated with the thermodynamic properties of the solvent and their changes upon addition of the cellulose crystallite. Structural analysis revealed that the weaker the interactions within the molecules of solvent, the stronger the interactions between the hydroxyl group from cellulose with the chloride anion and with the hydrogen bond donor. Further analysis indicated that the R-CO-R moieties in the hydrogen bond donor within the solvent, interacted better with the cellulose. The hydrogen bond occupancies within the cellulose crystallite, displayed that the main O6-H6···O2/O3 and O2-H2···O6 interchain hydrogen bonds in the glucan located at the edge of the solute were replaced by weak hydrogen bonds in all solvents. This effect was related to the O···H-Cl , C-H···O , and O···H-O HBs between cellulose and DES molecules and confirmed by the non-covalent interactions obtained through DFT calculations. Finally, the energetic interactions and the atomistic degree of disruption of the cellulose crystallite were not completely described by the Kamlet-Taft β or α parameters separately. Surprisingly, by using the net basicity ( β - α) definition, such correlations were improved suggesting that both parameters must be considered in order to develop new, green, and sustainable solvents for cellulose pretreatment process.