bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synergistic Effects of Erythromycin and Budesonide on the Mitigation of Tracheal Stenosis through Transformation of the Macrophage Phenotype and Upregulation of HDAC2
Authors: gan jinghua , Liu Guangnan 
Published: October 2023

Abstract
Objective: We investigated the molecular mechanisms of the combination of erythromycin and budesonide for the treatment for tracheal stenosis (TS).
Methods: The rabbit animal model of TS was established by scraping the inner wall of the trachea. and treated with erythromycin or budesonide afterwards. The treatment effects were evaluated by histological measurement. We quantify the mRNA expression of the M1 and M2 macrophage markers by quantitative PCR and the protein expression of histone deacetylase 2 (HDAC2) by western blotting. We used RAW264.7 cells simulated with lipopolysaccharide and interleukin 4 to determine if erythromycin and budesonide can promote the transformation of macrophages by using flow cytometry. M1/M2 macrophages and fibroblasts were co-cultured, and alpha smooth muscle actin (α-SMA) was detected by immunofluorescence.
Results: The rabbit TS model showed the formation of stenosis in the tracheal tissue, and the thickness of the tracheal mucosa and submucosa was significantly increased. These histological changes were recovered in the treatment groups, with the most recovery occurring with combination treatment of erythromycin and budesonide. The mRNA expression of iNOS, CD206, CD163, and Arg1 and the protein expression of HDAC2 were increased in the treated groups. In vitro, erythromycin combined with budesonide transformed naïve macrophages to M2 macrophages, and the ratio of M1 and M2 macrophages tended to be 1.0. The expression level of α-SMA was decreased in the co-culture of M1 and M2 with fibroblasts.
Conclusion: Erythromycin combined with budesonide can regulate the phenotype transformation of macrophages by upregulating HDAC2 and improving stenosis after tracheal injury.
How much vulnerable the flood-affected villagers are? An assessment of Livelihood Vulnerability to Flood Hazard in Assam, India
Authors: Saikia Ananya , Borthakur Monjit 
Published: October 2023

Abstract
This study is a micro-level analysis of the households’ livelihood vulnerability in a flood-prone district of Assam by employing LVI and LVI-IPCC approaches. A total of eight major components of livelihood vulnerability along with fifty-three sub-components or variables are considered in this study. Based on the geographic and socioeconomic specificities of the study area, new variables have been incorporated by the authors in estimating the Livelihood Vulnerability Index. The empirical results categorize the villages into most vulnerable, moderately vulnerable, and low vulnerable. Villages with exposure to natural disasters are more vulnerable due to low adaptive capacity and high sensitivity. However, many villages despite high exposure and sensitivity have been able to enhance adaptive capacity by adopting crop diversification, non-farm activities, out-migration, etc. The livelihood vulnerability assessment carried out in this paper is helpful in identifying the vulnerable communities, households, and societies in any developing region. Less variation in the sensitivity parameters of the communities is one of the key findings of this study. The low livelihood vulnerability of some villages is a result of their lack of exposure to flooding and erosion. In the lack of adaptive capacity, future exposure to erosion and flood may increase the livelihood risk of the low-susceptible villages. Therefore, in a flood-prone state like Assam, policy measures targeting adaptative behavior are crucial.
A New Fuzzy Bio-Inspired Based Classification to Cancer Detection
Authors: Abdolrazzagh-Nezhad Majid , Izadpanah Shaghayegh 
Published: October 2023

Abstract

There are several cancer detection methods with their own disadvantages in flexibility, non-linear complexity and sensitive in imbalance data. In this paper, a new fuzzy bio-inspired based classification method is designed to classify the imbalance medical data. The method consists of a new fuzzy draft of Cuckoo Optimization Algorithm (COA) and separating hyper-planes based on assigning binary codes to separated regions that called Hyper-Planes Classifier (HPC). Based on the technical review is done in the paper, the HPC has a better structural superiority than the other classification algorithms. The Fuzzy Cuckoo Optimization Algorithm (FCOA) which fills up its challenge in proper tuning parameters, is proposed to optimize the weights of the separating hyper-planes with linear complexity time. The FCOA is designed based on a fuzzy inference system for the Egg Laying Radius (ELR) parameter setting to increase the efficiency of the generic COA. The proposed fuzzy bio-inspired based classification method is examined with four famous UCI cancer datasets based on one, two, three and four hyper-planes and compared with more than thirty previous researches. The results show that the proposed method is effective compared to the previous methods and also the COA.
Study protocol for A randomized controlled trial with Rituximab for Psychotic disorder in adults (RCT-Rits)
Authors: Bejerot Susanne , Eklund Daniel , Hesser Hugo , Hietala Max Albert , Kariis Tarmo , Lange Niclas , Lebedev Alexander , Montgomery Scott , Nordenskjöld Axel , Petrovic Predrag , Söderbergh Annika , Thunberg Per , Wikström Sverre , Humble Mats Bertil 
Published: October 2023

Abstract
Background:
The role of inflammation in the aetiology of schizophrenia has gained wide attention and research on the association shows an exponential growth in the last 15 years. Autoimmune diseases and severe infections are risk factors for the later development of schizophrenia, elevated inflammatory markers in childhood or adolescence are associated with a greater risk of schizophrenia in adulthood, individuals with schizophrenia have increased levels of pro-inflammatory cytokines compared to healthy controls, and autoimmune diseases are overrepresented in schizophrenia. However, treatments with anti-inflammatory agents are so far of doubtful clinical relevance.
The primary objective of this study is to test whether the monoclonal antibody rituximab, directed against the B-cell antigen CD20 ameliorates psychotic symptoms in adults with schizophrenia or schizoaffective disorder and to examine potential mechanisms. A secondary objective is to examine characteristics of inflammation-associated psychosis and to identify pre-treatment biochemical characteristics of rituximab responders. A third objective is to interview a subset of patients and informants on their experiences of the trial to obtain insights that rating scales may not capture.
Methods: A proof-of-concept study employing a randomised, parallel-group, double-blind, placebo-controlled design testing the effect of B-cell depletion in patients with psychosis. 120 participants with a diagnosis of schizophrenia spectrum disorders (SSD) (ICD-10 codes F20, F25) will receive either one intravenous infusion of rituximab (1000 mg) or saline. Psychiatric measures and blood samples will be collected at baseline, week 12, and week 24 post-infusion. Brief assessments will also be made in weeks 2 and 7. Neuroimaging and lumbar puncture, both optional, will be performed at baseline and endpoints. Approximately 40 of the patients and their informants will be interviewed for qualitative analyses on the perceived changes in well-being and emotional qualities, in addition to their views on the research.
Discussion: This is the first RCT investigating add-on treatment with rituximab in unselected SSD patients. If the treatment is helpful, it may transform the treatment of patients with psychotic disorders. It may also heighten the awareness of immune-psychiatric disorders and reduce stigma.
Trial registration: NCT05622201, EudraCT-nr 2022-000220-37 version 2.1. registered 14th of October 2022.
Response of winter climate and extreme weather to projected Arctic sea-ice loss in very large-ensemble climate model simulations
Authors: Ye Kunhui , Woollings Tim , Sparrow Sarah , Watson Peter , Screen James 
Published: October 2023

Abstract
Very large initial-condition ensemble simulations have been performed to advance understanding of mean climate and extreme weather responses to projected Arctic sea-ice loss under 2°C global warming above preindustrial levels. These simulations better sample internal atmospheric variability and extremes for each model compared to that from the Polar Amplification Model Intercomparison Project (PAMIP). The mean climate response is mostly consistent with that from the PAMIP multi-model ensemble, including tropospheric warming, reduced midlatitude westerlies and storm track activity, equatorward shift of the eddy-driven jet and increased mid-to-high latitude blocking. Two resolutions (N144 and N216) of the same model exhibit significant differences in stratospheric circulation and jet latitude response. The response of temperature and precipitation extremes largely follows the seasonal-mean response. The responses are weak, and sub-sampling confirms that large ensembles (>=400) are needed to robustly estimate the seasonal-mean large-scale circulation response, and very large ensembles (>=1000) for regional climate and extremes.
Detection of Pharmacolipidodynamic Effects Following the Intravenous and Oral Administration of Gefitinib to C57Bl/6JRj Mice by Rapid UHPLC/MS Analysis of Plasma
Authors: Plumb Robert S , Gethings Lee A , Isaac Giorgis , Munjoma Nyasha C , Wilson Ian D 
Published: October 2023

Abstract

Omics based biomarker technologies including metabolic profiling ( metabolomics /metabonomics) and lipidomics are making a significant impact on disease understanding, drug development, and translational research. A wide range of patho-physiological processes involve lipids, monitoring changes in lipid concentration can give valuable insights into drug toxicity and off target pharmacology. Here we report changes in plasma lipid profiles of male C57Bl/6JRj mice following the PO and IV administration of the TKI inhibitor gefitinib were studied using untargeted LC/MS. Statistical analysis the data obtained for both the IV and PO samples showed time-related changes in the amounts of lipids from a number of classes affected. The largest changes were associated with a rapid onset of these changes following gefitinib administration followed by a gradual returning to the type of profiles seen for predose samples by 24 h post dose. Investigation of the lipids responsible for the variance observed in the data showed that GPE, GPI, GPA, PC and LPC were subject to the largest disruption with both transient increases and decreases in relative amounts seen in response to administration of the drug. The pattern of the changes in the relative amounts of the lipids subject to change appeared to correlate with the pharmacokinetics of gefitinib (and its major metabolites) and supports the concept of a distinct pharmacometabodynamic relationship
Modification of bearing capacity of rock-socketed pile: considering concrete-rock interface roughness and gravity stress of concrete
Authors: chen renyi , Yin Yonggao , He Min 
Published: October 2023

Abstract

The mobilization of side resistance has a significant effect on load-transfer characteristics and the ultimate bearing capacity of rock-socketed piles. A better understanding of the shear mechanism of concrete-rock interface is of great significance to load transfer of rock-socketed piles. However, the calculation of the bearing capacity of rock-socketed pile in the current code does not consider the effects of the roughness of the concrete-rock interface and gravity stress of concrete. A series of direct shear tests of concrete–rock interface samples confirm that the shear strength of the concrete–rock interface is increase with interface roughness and concrete gravity stress. The numerical results show that roughness and concrete can significantly affect the friction resistance distribution of pile, especially for hard rock. A modified vertical bearing capacity formula of rock-socketed pile is presented based on numerical simulation. It is indicated that the modified formula can better describe the bearing characteristics of rock-socketed piles, and the calculated results are closer to the measured values than the specifications by two real experimental cases.
Association between Meteorological Factors and Pediatric Urinary Tract Infections in central China: a 6-years retrospective cohort of 2441 children with UTIs
Authors: LI Changzhen , TANG Feng , ZENG Ye , LUO Wanjun , LIU Jianjun , WANG Xiaomei 
Published: October 2023

Abstract
Backgrounds: To investigate the association between meteorological factors and common uropathogens in children with urinary tract infections (UTIs) and assesses the potential influence of weather conditions on pediatric UTIs.
Methods: 2411 data from infants and children with UTIs in a children’s hospital from 2016 to 2021 were retrospectively analyzed. A correlation analysis was conducted to investigate the relationship between the monthly detection number of uropathogens and meteorological factors.
Results: Multiple linear stepwise regression analyses showed a positive correlation between monthly average temperature, precipitation volume, sunshine hours, monthly total number of uropathogens, and the number of Escherichia coli and Enterococcus faecalis. Enterococcus faecium was predominant in <12-month-old children, while E. coli was dominant in the 3–18-year age category. E. faecium showed a higher prevalence in girls, while E. faecalis was more prevalent in boys. E. coli exhibited resistance rates of >40% to second- or third-generation cephalosporins in multiple age groups. E. faecium showed high resistance rates to tetracyclines, fluoroquinolones, erythromycin, ampicillin, and penicillin, while Klebsiella pneumoniae displayed higher sensitivity to cephalosporin–sulbactam and sulfamethoxazole, but higher resistance rates to ampicillin, cefazolin and ceftazidime.
Conclusions: This study reveals the association between meteorological factors and uropathogens in children with UTIs, as well as the distribution, age-related characteristics, gender differences and antibiotic resistance profiles of pathogenic bacteria. These findings inform the development of targeted strategies for UTI prevention and treatment based on uropathogenic characteristics and meteorological conditions.
Micro dynamics of brain networking for major depression through amplitude modulation–based partial brain functional connectivity analysis
Authors: Yeh Jia-Rong , Yeh Szu-En , Peng Xiao-Jing , Fan Shou-Zen 
Published: October 2023

Abstract
Brain functional networking is complex and dynamical and micro dynamics analysis performs as a good solution to it. In this study, we postulated that micro dynamics of transitioning between states depend on the frequency, enabling the deconstruction of global microstates into a series of partial brain functional connectivities (PBFCs). We propose a novel approach that combines an amplitude modulation (AM)–based algorithm and PBFCs, leveraging a modified similarity measure to assess the differences between two sequences of dynamical state transitions. Moreover, this approach is promising for identifying biomarkers of major depression disorder (MDD). An open data set comprising 128-channel resting-state EEG recordings from both individuals with MDD and healthy controls was used. The results revealed that the characteristic dynamics of the components in the ultra-low-frequency band carrier (0.5–1 Hz) exhibited high accuracy for MDD diagnosis. Moreover, many biomarkers derived from specific PBFCs related to the ultra-low AM of the components of the alpha-band carrier exhibited high sensitivity (area under the receiver operating characteristic curve [AUC] > 0.9). Our novel approach can be used for characterising the intricate brain functional connectivity disparities between individuals with the disorder and their healthy counterparts and thus holds considerable promise for clinical diagnostic applications.
Validation of cross progeny variance genomic prediction using simulations and experimental data in winter elite bread wheat
Authors: Oget-Ebrad Claire , Heumez Emmanuel , Duchalais Laure , Goudemand-Dugué Ellen , Oury François-Xavier , Elsen Jean-Michel , Bouchet Sophie 
Published: October 2023

Abstract

The utilization of genomic prediction is increasing in crop breeding to parental selection and mating. The Usefulness Criterion (UC) that considers Parental Mean (PM), progeny Standard Deviation (SD) and selection intensity has been shown to increase the likelihood to get outstanding progenies compared to mating using PM alone while maintaining more diversity in the germplasm for next generations.
This study estimates our ability to predict UC and its two components (PM and SD) using simulations and experimental data (73-101 winter bread wheat crosses depending on the trait, with 54.8 progenies on average) including heading date, plant height, grain protein content and yield evaluation. The training population comprises 2,146 French varieties registered during the last 20 years and INRAE-AO breeding lines.
According to simulations, prediction ability increases with heritability and progeny size and decreases with QTL number, most notably for SD. We used as a reference a TRUE scenario, i.e. an optimal situation where TP is infinite and where marker effects are perfectly estimated. SD was strongly impacted by the quality of marker effect estimates. In simulations, considering the error in marker effect estimates improved SD predictions for quantitative traits with low heritability. In experimental data, the interest of this method was limited.
PM and UC were reasonably predicted for all traits, while SD was more challenging. This pioneering study experimentally validates genomic prediction of progeny variance. The ability of prediction depends on trait architecture while the realization of cross potential in the field necessitates a sufficient number of progenies.
An Improved Method for Diagnosis of Parkinson’s Disease using Deep Learning Models Enhanced with Metaheuristic Algorithm
Authors: Mallik Saurav , Majhi Babita , Kashyap Aarti , Mohanty Siddarth , Dash Sujata , Li Aimin , Zhao Zhongming 
Published: October 2023

Abstract
Accurate diagnosis of Parkinson's disease (PD) at an early stage is challenging for clinicians as its progression is very slow. Currently many machine learning and deep learning approaches are used for detection of PD and they are popular too. This study proposes four deep learning models and a hybrid model for the early detection of PD. Further to improve the performance of the models, grey wolf optimization (GWO) is used to automatically fine-tune the hyperparameters of the models. The simulation study is carried out using two standard datasets, T1,T2-weighted and SPECT DaTscan. The metaherustic enhanced deep learning models used are GWO-VGG16, GWO-DenseNet, GWO-DenseNet + LSTM, GWO-InceptionV3 and GWO-VGG16 + InceptionV3. Simulation results demonstrated that all the models perform well and obtained near above 99% of accuracy. The AUC-ROC score of 99.99 is achieved by the GWO-VGG16 + InceptionV3 and GWO-DenseNet models for T1, T2-weighted dataset. Similarly, the GWO-DenseNet, GWO-InceptionV3 and GWO-VGG16 + InceptionV3 models result an AUC-ROC score of 100 for SPECT DaTscan dataset.
Preliminary Studies on the Development of Plasma Sprayed YSZ/Gd1.8Yb0.2Zr2O7 Thermal Barrier Coating from Powders Synthesized by Solution Combustion Method
Authors: GK Kishor , N Balaji , S Senthil Kumar , G Sreedhar , T Aruna S 
Published: October 2023

Abstract
Thermal barrier coatings (TBCs) play a vital role in enhancing the lifetime of gas turbine engine components. In recent years, research has been concentrated on the development of bilayer ceramic topcoats containing TBCs. Among the promising ceramic topcoats, rare earth zirconates and in particular Gd2Zr2O7 is a promising topcoat material because of its high-temperature stability, lower thermal conductivity and calcium magnesium alumino-silicate (CMAS) resistance. In the present study, a bilayer TBC system containing YSZ/ytterbia doped gadolinium zirconate (Gd1.8Yb0.2Zr2O7) is developed by atmospheric plasma spray (APS) process from flowable powders synthesized by solution combustion process by varying the plasma spray parameters. The solution combustion method yields flowable ceramic powders in a single step. The hot corrosion behavior of the best coating was tested by spreading a fused Na2SO4 + V2O5 mixture (~ 25 mg/cm2) on the surface of the coating and subjecting it to heat treatment at 910°C for 30 h. Post-hot corrosion tests, the phase, microstructure and elemental analysis of the coating were carried out using an X-ray Diffractometer (XRD), field emission scanning electron microscope and energy dispersive X-ray analyzer respectively. The details of the synthesis of Gd1.8Yb0.2Zr2O7 powder, plasma spraying of the bilayer coatings and characterization of the TBC are discussed in detail. The bilayer coating exhibited a thermal conductivity of 1.054 W/mK at 21°C compared to conventional YSZ coating.
Analysis of the mechanisms involved in the proliferation and invasion of oral squamous cell carcinoma by whole transcriptome sequencing
Authors: Ruan Xiaoxu , Zhang Shudi , Peng Xiaoya , Ma Yifan , Chai Lin , Xu Qing , Deng Chao 
Published: October 2023

Abstract
Background
Oral squamous cell carcinoma (OSCC) accounts for approximately 90% of malignant epithelial tumors of the oral and maxillofacial region. OSCC has a high rate of metastasis and poor prognosis. The specific process of oral mucosal carcinogenesis and progression is very complicated.
Methods
Five OSCC patients' cancer tissues and paracancerous tissues were collected for whole transcriptome sequencing analysis to screen differentially expressed mRNA, long-stranded noncoding RNA (lncRNA), and circular RNA (circRNA) and bioinformatics [gene ontology (GO) enrichment analysis with genomic database (KEGG) pathway analysis and transcript enrichment analysis, etc.]. Target molecules closely associated with oral squamous cell carcinogenesis, migration, and invasion were identified using a miRNA-circRNA association network.
Results
We screened 2310 mRNAs differentially expressed in cancer and paraneoplastic tissues, of which 1019 were upregulated and 1291 were downregulated; 14216 differentially expressed lncRNAs, of which 8829 were upregulated and 5387 were downregulated; and 167 differentially expressed circRNAs, of which 18 were upregulated and 149 were downregulated. Oral squamous cell carcinoma cells had a higher level of hsa circ 0001847 expression than hok cells (P < 0.05). Reduced hsa circ 0001847 expression inhibited oral squamous cell carcinoma cell proliferation, migration, and invasiveness (P < 0.05).
Conclusion
OSCC tissues contain differentially expressed mRNAs, lncRNAs, and circRNAs, and these differentially expressed mRNAs, lncRNAs, and circRNAs may be involved in the development of OSCC.