bluuebunny/crossref_metadata_2025_split huggingface dataset:
Classification of Intracranial Hemorrhage CT images for Stroke Analysis with Transformed and Image-based GLCM Features
Authors: Gudadhe Santwana , Thakare Anuradha 
Published: January 2022

Abstract
Intracranial hemorrhage (ICH) is one of the severe types of brain stroke. Artery burst results in bleeding inside the brain and its surrounding tissue. Depending upon brain bleed location, hemorrhage gets classified. This paper presents a hybrid feature selection approach to form joint feature vector sets using transformed image features and image-based gray level co-occurrence matrix (GLCM) texture features. Feature extraction is performed by applying discrete wavelet transform, discrete cosine transform, and GLCM features. Feature vector selection model is built with the combination of Discrete wavelet transform, Discrete cosine transform, and GLCM features. A joint feature vector is formed with transformed image features and GLCM features. These joint feature vectors form an acute input for the further classification process. The machine learning algorithm i.e. Random Tree, Random Forest, and REPTree are used for the classification of Intracranial hemorrhage CT images. The classification results obtained are further analyzed for accuracy considering transformed features and GLCM features. It is observed that Random forest classifier results in the highest classification accuracy of 87.97% for discrete wavelet transform and GLCM (DWT+GLCM) feature set
Chitosan derivatives modified solid lipid nanoparticles prolonged Rhodojaponin-III active time and enhanced the safety and multimodal analgesic effects in vivo
Authors: Yang Qingyun , Yang Jian , Sun Shuigeng , Zhao Jingyi , Liang Shuang , Feng Yi , Liu Minchen , JiQuan Zhang 
Published: January 2022

Abstract
Background

Rhodojaponin III (RJ-III), a bioactive diterpene, is a characteristic component of Rhododendron molle G. Don (Ericaceae), a potent analgesia in traditional Chinese medicine with thousands of years of clinical applications. However, its clinical use is limited by its acute toxicity and poor pharmacokinetic profile. To reduce such limitations, we incorporated RJ-III into the colloidal drug delivery system of hydroxypropyl trimethyl ammonium chloride chitosan (HACC) modified solid lipid nanoparticles (SLNs) to improve its sustained release and analgesic properties in vivo for oral delivery.
Results

The optimized RJ-III@HACC-SLNs were close to spherical, approximately 134 nm in size, with a positive zeta potential. In vitro experiments showed that RJ-III@HACC-SLNs were stable in the simulated gastric fluid, and were prolonged release in PBS (pH = 6.8). Pharmacokinetics results showed that after intragastric administration in mice, the relative bioavailability of RJ-III@HACC-SLNs was 87.9%, the peak time, half-time, and mean retention time of RJ-III@HACC-SLNs were significantly improved. Pharmacodynamic studies revealed that RJ-III@HACC-SLNs markedly reduced the acetic acid, hot, and formalin-induced nociceptive responses in mice (P < 0.001), and significantly increased the analgesic time (P < 0.01). Moreover, RJ-III@HACC-SLNs not only showed good biocompatibility with Caco-2 cells in vitro, but its LD50 value was also increased by 1.8-fold compared to RJ-III in vivo.
Conclusions

This study indicated that RJ-III@HACC-SLNs could exhibit certain toxicity-attenuating and effectiveness-enhancing effects by improving pharmacokinetic characteristics of the RJ-III, which could be a new strategy for intragastric delivery and analgesic treatment of RJ-III and HACC-modified SLNs, and provide a dosage form reference for the further study of RJ-III.
Rhizosphere Microbiome of Forest Trees Determines Their Resistance to Soil-borne Pathogens
Authors: Yu Li , Zi Haiyun , Zhu Hongguang , Liao Yangwenke , Li Xiaogang 
Published: January 2022

Abstract
Background and aimsThe ability of plants to cope with environmental pressure and the interaction between rhizosphere microorganisms and host trees play an important role in the stability and function of forest ecosystems. Beneficial microbes recruited to the plant rhizosphere and stably association with tree roots can potentially reduce biotic stress, but the biochemical processes involved in coping with pathogen attack are not fully understood. Here, we aimed to investigate the ecology process of rhizosphere microbiota from four broad-leaved and three coniferous tree varieties involving in the suppression of soil-borne fungal pathogens. MethodsWe used separation cultivation and in vitro antagonistic experiments to investigate the inhibitory effects of rhizosphere microbiome on pathogenic fungi. Rhizosphere microbiome was then sequenced using the Illumina MiSeq platform, and root exudates of trees were measured by gas chromatography-mass spectrometry (GC-MS).ResultsRhizosphere microbes from seven tree varieties had strong inhibitory effects on fungal pathogens, nevertheless, there were significant differences in their capacity. The dissimilarities in rhizosphere bacterial communities that were significantly correlated with phylogenetic distance of trees had a greater influence on suppression of pathogens compared with microbial abundance and diversity. Combined analysis of a random forest model and co-occurrence networks, revealed a cooperative relationship between key groups that were positively associated with inhibition of fungal pathogens in the tree rhizosphere. This process was further strengthened by specific metabolites secreted by tree roots. ConclusionsIn general, the rhizosphere microbiota of seven tree species had different inhibitory effects on fungal pathogens, and the cooperative relationship within the rhizosphere microbial community plays an important role in maintaining trees resistance to soil pathogens stress.
Whole-Genome Sequencing of Strain Bacillus Altitudinis D30202 With Inhibitory Activity Against Weed
Authors: xiuhua ma , wei li , jian wang , shuo shen 
Published: January 2022

Abstract
Wild oat (Avena fatua L.) is among the most harmful of gramineous weeds infiltrating crops, resulting in reductions in crop quality and yield. The moderately halophilic bacterium Bacillus altitudinis D30202 has a good biological control effect on wild oat. In order to explore the biocontrol mechanism of B. altitudinis D30202, through whole-genome sequencing analysis, we explored the genome composition of B. altitudinis D30202, and conducted research on the prediction of herbicide secondary metabolite synthesis gene clusters to provide a reference for follow-up research on the mechanism of biological control of weeds.The whole gene sequencing results showed that the genome size of the B. altitudinis D30202 strain was 3,777,154 bp, the GC content was 41.32%, and there were a total of 3809 coding genes. In addition, The strain can also produce substances that may have herbicidal activity, including 4-hydroxy-3-methoxycinnamic acid and indole derivative. Online predictive analysis found that the strain has 10 secondary metabolite gene clusters. The results of whole-genome sequencing obtained in this study provide an information basis for the research and development of the molecular mechanism of weed inhibition. Genomic information reveals the interaction between several enzyme genes and wild oat, provides a reference for the study of metabolite synthesis and regulatory mechanisms, and lays the foundation for the development of new biological control agents.
Can Passive Leg Raise Predict the Response to Fluid Resuscitation in ED?
Authors: Elwan Mohammed H , Roshdy A , Elsharkawy EM , Eltahan SM , Coats TJ 
Published: January 2022

Abstract
ObjectivePassive leg raise (PLR) can be used as a reversible preload challenge to stratify patients according to preload response. We aim to evaluate the accuracy of PLR, monitored by a non-invasive cardiac output monitor in predicting to response to fluid resuscitation in the emergency department (ED) MethodsWe recruited adult patients planned to receive a resuscitation fluid bolus. Patients were monitored using a thoracic electrical bioimpedance (TEB) cardiac output monitor (Niccomo, Medis, Germany). A 3-minute PLR was carried out before and after fluid infusion. Stroke volume changes (ΔSV) were calculated and a positive response was defined as ≥15% increase.ResultsWe recruited 39 patients, of which 37 were included into the analysis. The median age was 63 (50-77) years and 19 patients were females. 17 patients (46%) were fluid responders compared to 11 (30%) with positive response to baseline PLR. ΔSV with baseline PLR and fluid bolus showed moderate correlation (r = 0.47, 95% confidence interval, CI 0.17-0.69) and 62% concordance rate. For the prediction of the response to a fluid bolus the PLR test had a sensitivity of 41% (95% CI 22-64) and specificity of 80% (95% CI 58-92) with an area under the curve of 0.59 (95% CI 0.41-0.78). None of the standard parameters showed a better predictive ability compared to PLR.ConclusionUsing TEB, ΔSV with PLR showed a moderate correlation with fluid bolus, with a limited accuracy to predict fluid responsiveness. The PLR test was a better predictor of fluid responsiveness than the parameters commonly used in emergency care (such as heart rate and blood pressure). These data suggest the potential for a clinical trial in sepsis comparing TEB monitored, PLR directed fluid management with standard care.
Interfacial interaction driven rheological properties of quartz nanofluids from molecular dynamics simulations and density functional theory calculations
Authors: Lou Zhaoyang , Cheng Chen , Cui Yingqi , Tian Hao 
Published: January 2022

Abstract
Correlations of the shear viscosity of quartz nanofluids with particle concentration, particle size, and temperature were investigated with molecular dynamics simulations and density functional theory (DFT) calculations. A new understanding to the experimentally concluded correlations was addressed in terms of microscopic particle–water interfacial interaction in three aspects. First, the viscosity of quartz nanofluids at different particle concentrations, particle sizes and temperatures was simulated using the equilibrium molecular dynamics simulations method to reproduce the experimental observations. The important role of particle–water interaction in the viscosity determination of nanofluids was revealed. Second, DFT calculations confirm a stronger particle–water interaction than that among water molecules. Finally, a correlation was proposed to fit the simulated results and compared with earlier two-parameter correlations. One parameter in the correlation is indeed a constant, while the other is a function of SiO2–water interaction energy. Our study proposes a physical basis for the experimentally concluded correlations on the viscosity of nanofluids.
In vitro effects of 2-methyl-3-propylbutane-1,4-diol Purified From Alstonia Boonei on Erythrocyte Membrane Stabilization and Mitochondrial Membrane Permeabilisation
Authors: Olanlokun John Oludele , Popoola David , Bodede Olusola , Idowu Thomas , Moodley Roshila , Olorunsogo Olufunso , Oyebode Olubukola Titilope 
Published: January 2022

Abstract
A recent review on the ethnomedicinal, chemical, pharmacological, and toxicological properties of Alstonia boonei revealed that the plant’s potential in the treatment and management of a range of diseases. However, most of these pharmacological effects are only traceable to crude form of the plant extract and not specific natural products In this study, the membrane stabilizing activity, mitochondrial membrane permeability transition pore opening, cytochrome c release, mitochondrial ATPase activity and prevention of mitochondrial lipid peroxidation activity of 2-methyl-3-propylbutane-1,4-diol (MPBD) isolated from A. boonei were determined. The results showed MPBD significantly (P<0.05) prevented peroxidation of mitochondrial membrane lipids and hemolysis using both the heat-induced and hypotonic solution-induced membrane stabilization assays. On the other hand, the compound caused large amplitude swelling of rat liver mitochondria in the absence of calcium, significant (P<0.05) cytochrome c release and enhancement of mitochondrial ATPase activity in vitro. Our findings suggest that MPBD showed characteristic biological properties useful in modulating cell death.
Novel Layered Double Hydroxides@Carboxymethyl Cellulose Composite Aerogel Towards Co(II) Absorption
Authors: Liao Wang , Long Xinlei , Wei Yuping , Xiao Yao 
Published: January 2022

Abstract
Cobalt (Co) ion is a common heavy metal ion and the main metal ion in nuclear wastewater. However, the study on the absorption for Co(II) is not sufficient. Herein, a novel ES-layered double hydroxide (LDH) is prepared by intercalated ethylenediaminetetraacetic acid disodium salt (EDTA) and sodium dodecylbenzene sulfonate (SDBS) in a magnesium, iron pristine LDH, which is subsequently used for ES-LDH@carboxymethyl cellulose (CMC) composite aerogel. The results of Fourier transform infrared spectroscopy, X-ray diffraction spectra and thermogravimetric analysis shows successfully preparation of intercalated LDH. The pore morphology, specific surface area and pore size distribution of the composite aerogels are characterized by scanning electron microscope and Nitrogen-BET curves. The significantly improved adsorption capacity, adsorption kinetics and isotherms the absorbents on Co(II) are systematically revealed. This study thus provides an important understanding and path for dealing with the threat of Co(II).
A Signature of Immune-related Gene Pairs (IRGPs) for Risk Stratification and Prognosis of Oral Cancer Patients
Authors: Yu Yanling , Tian Jing , Hou Yanni , Zhang Xinxin , Li Linhua , Cong Peifu , Ji Lei , Wang Xuri 
Published: January 2022

Abstract
Background:With low response to present immunotherapy, it is imperative to identify new immune-related biomarkers for more effective immunotherapies for oral cancer.Methods:RNA profile for 390 oral cancer patients and 32 normal samples were downloaded from the Cancer Genome Atlas (TCGA) database and differentially expressed genes (DEGs) were analyzed. Immune genesets from Immportrepository were overlapped with DEGs. After implementing univariate Cox analysisand the least absolute shrinkage and selection operator (LASSO) Cox regression analysis, key immune-related gene pairs (IRGPs) among the overlappedDEGs for predicting the survival riskwere obtained. Then, the cutoff of risk score was calculated by receiver operating characteristic (ROC) curve to stratify oral cancer patients into high and low-risk groups. Multivariate Cox analysis was used to analyze independent prognostic indicator fororal cancer.Besides, infiltration of immune cells, functional annotation and mutation analysis of IRGPs were conducted.Biological function correlated with IRGPs were enriched by Gene Set Enrichment Analysis (GSEA) method. Results: We identified698 differentially expressed genes (DEGs)in response to oral cancer. 17IRGPs among the DEGs were identified and integrated into a risk score model. Patients in high-risk group have significantly worse prognosis than those in low-risk group. Meanwhile, IRGPs model was identified as an independent prognostic factor for oral cancer. Different infiltration pattern of immune cells were found between high- and low-risk groups that more types of T and B cells were enriched in low-risk group. More immune-related signaling pathways were highly enriched in low-risk group. And Tenascin C (TNC) was the most frequently mutated genes. We have developed a novel 17-IRGPs signature for risk stratification and prognostic predication of oral cancer.Conclusion: Our study provides a foundation for improved immunotherapy and prognosis and is beneficial to the individualized management of oral cancer patients.
The epidemiology of vertebral fractures in the adult German population and an analysis of the socio-economic burden: Trends from 2009 to 2019.
Authors: Lang Siegmund , Walter Nike , Freigang Viola , Neumann Carsten , Loibl Markus , Alt Volker , Rupp Markus 
Published: January 2022

Abstract
ObjectiveTo present nationwide rates of hospitalized patients with vertebral fractures over one decade and a comprehensive analysis of treatment characteristics and incurred costs in 2019.MethodsTrends in the incidence were quantified based on annual ICD-10 diagnosis codes from all German medical facilities between 2009 and 2019, provided by the Federal Statistical Office (Destatis). The ICD-10 Codes “S12.0-2; S22.0; S32.0; S32.1-2” were evaluated. The relative change from 2009 through 2019 was determined and data on the secondary diagnoses, OPS-codes, treatment on an intensive care unit (ICU), in-hospital mortality, proportion of G-DRGs and cumulative costs were assessed based on the Institute for the Hospital Remuneration System (InEK) data for 2019.ResultsThe incidence increased by 45.6% between 2009 and 2019 to 150.7 per 100,000 inhabitants. Lumbar spine fractures showed the highest incidence in 2019 with 70.5/100,000 inhabitants (46.8% of all vertebral fractures). The highest increases were seen in subaxial cervical fractures (+121.2%) and sacral fractures (+306.6%). 63.7% of vertebral fractures in 2019 were diagnosed in women and 69.0% in patients ages 70 years or older. Osteoporosis was documented in 17.9% of cases. In 10.1% of cases an ICU treatment was documented. The in-hospital mortality was 2.0%. The most frequently applied G-DRG code was I68D (33.3%). The total costs in 2019 were €589,205,715.ConclusionThe evaluation of 955,091 vertebral fractures showed a sharp increase in the incidence rate with incurred cost of approximately €590 million in 2019. The age and gender distribution suggests an increase in the diagnosis of osteoporotic fractures.
Recursive Hilbert transform method: algorithm and convergence analysis
Authors: Hu Zhi-Xiang , Zhu Hui-Yu , Huang Xiao , Zhi Lun-Hai 
Published: January 2022

Abstract

The Hilbert transform (HT) is an important method for signal demodulation and instantaneous frequency (IF) estimation. The modulus of the analytic signal constructed by the HT is regarded as the amplitude, and the derivative of the instantaneous phase of the extracted pure frequency modulation signal is the IF. When the spectrums of the amplitude function and the oscillation term overlap so as not to satisfy the Bedrosian condition, the instantaneous amplitude (IA) and frequency calculated by the Hilbert transform will contain errors. The recursive Hilbert transform (RHT) is an effective method to overcome this problem. The RHT regards the pure frequency modulation signal obtained by the previous HT as a new signal and recursively computes its Hilbert transform until convergence. The final pure frequency modulation signal of the recursive procedure has the same zero-crossing points as the original signal, and its corresponding quadrature error signal vanishes. We emphasize the convergence analysis of the algorithm and study the convergent tendency of the quadrature error signal in each recursive step. The key to the proof is that the discrete Fourier transform value of the quadrature error signal is regarded as a vector, and the length/norm of the vector decreases with the recursion process. Finally, three examples are used to demonstrate the effective application of this method in signal demodulation, IF identification and damped vibrating signal analysis, which indicate the application potential of the RHT method in mono-component signal processing.
Do urban/rural and educational differences influence diabetes patients’ risk of developing Common Mental Disorders? Indonesian cross-sectional Community Health Survey analysis
Authors: Isfandari Siti , Mubasyiroh Rofingatul , Siahaan Selma , Idaiani Sri , Mihardja Laurentia 
Published: January 2022

Abstract
Background Depression is one of the major comorbid conditions associated with chronic diseases like diabetes. There are a several studies of diabetes and CMD including diabetes depression (DD) and diabetes-related distress (DRD) in Indonesia mostly performed in health facilities. To the authors’ knowledge, there are yet to be studies exploring the risk of diabetes comorbid on CMD. This analysis is the first to explore urban-rural and educational level differences of diabetes patients risk for also having comorbid CMD using the latest Indonesian community health survey.MethodsThis is secondary cross-sectional data analyzed using the latest 2018 Indonesian community health survey Riskesdas comprised of 240703 respondents aged 30 or higher. CMD data based on face to face interviews using the SRQ-20. Diabetic conditions and other chronic diseases based on doctor's diagnosis were reported by the respondents in the interview. Descriptive bivariate and multivariate logistic regression analyses were carried out for identify risk profiles on Common mental disorders (CMD) for diabetes patients by geographic and social factors.ResultsThree-point three percent of the sample had diabetes-related diagnoses, and almost 20% of diabetes patients had CMD. The analysis identifies different risk of CMD among diabetes patients according to place of residence and education. The highest risk of diabetes without complications diagnosed for developing a CMD is among poorer educated rural patients, while the lowest was among poorer educated urbanites. Being more highly educated in both rural and urban settings shared almost the same risk. Higher educational attainment in a rural setting is most protective – these diabetes patients have the lowest risk of developing a CMDConclusionsThe differing risk profiles of CMD among diabetic patients underpin the importance of tailoring mental health service delivery among diabetics in different geographic settings for patients of differing educational backgrounds.
Preoperative Metabolic Syndrome and Its Components Are Predictive of the Incidence of Hypoxemia After Surgery for Acute Type A Aortic Dissection: An Observational Study
Authors: Zhang Like , Zhang Lei , Zhao Zengren , Liu Yun , Wang Juzeng , Niu Mengye , Zhao Xiansheng 
Published: January 2022

Abstract
Objectives. The aim of this study was to explore whether or to what extent metabolic syndrome (METs) and its components were associated with the incidence of hypoxemia in acute type A aortic dissection (ATAAD) patients after surgery. Design. Observational study. Methods. This study involved 271 ATAAD patients with surgery. Demographic and clinical data were collected. Subgroup analysis, mixed model regression analysis, and receiver operating characteristic (ROC) curve analysis were performed, and a scoring system was evaluated. Results. According to the PaO2/FiO2 ≤300 mmHg after the operation, the 271 inpatients were assigned to the hypoxemia group (n = 48) or no hypoxemia group (n = 223). Compared to the no hypoxemia group, the hypoxemia group had higher incidence of METs. Hypoxemia was present in 0%, 3.7%, 19.8%, 51.5%, 90.0% and 100% in the groups of individuals who met the diagnostic criteria of MetS 0, 1, 2, 3, 4 and 5 times, respectively. After adjustment for potential confounding factors, METs was an independent risk factor of hypoxemia in several models. After established the score system and assigned score for each METs component, the AUCs were 0.852 (95% CI: 0.789–0.914) in all patients, 0.728 (95% CI: 0.573–0.882) in patients with METs and 0.744 (95% CI: 0.636–0.853) in patients without METs by receiver operating characteristic analysis. Conclusions. METs was an independent risk of the incidence of hypoxemia in ATAAD after surgery.