bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioinformatic Analysis of Acute Respiratory Distress Syndrome and Sepsis Reveals Hypoxia Related Genes
Authors: Zhang Rui 
Published: October 2023

Abstract
Backgroud: Use bioinformatic analysis to identify hypoxia related genes in acute respiratory distress syndrome (ARDS) and sepsis.
Methods: Bioinformatic analysis was performed in GSE28750 of sepsis patients and GSE76293 of acute respiratory distress syndrome (ARDS) patients. Then intersected the hypoxia related genes and DEGs to obtain 11 hypoxia-related differentially expressed genes (HRDEGs). GO analysis and GSEA was used to find functional enrichment in diseases. Regulatory network and immunocyte infiltration analysis were performed to evaluate the mechanism in ARDS and sepsis.
Results：A total of 11 genes (CAPG, CKS2, CLU, FLVCR1, FUNDC1, HPSE, LCN2, MAPK14, PFKFB3, PLAC8 and TDRD9) were identified as hypoxia-related differentially expressed genes (HRDEGs). GO analysis and GSEA was used to find functional enrichment among HRDEGs. Regulatory network discovered several mechanisms in ARDS and sepsis, and provide correlation between HRDEGs. CIBERSORT found several HRDGEs were correlation with the abundances of immunocytes.
Conclusion: Several genes related to hypoxia in ARDS and sepsis were found, associated with pathological progress in disease.
Guggulsterone selectively modulates STAT-3, mTOR, and PPAR-gamma signalling in a methylmercury-exposed experimental neurotoxicity: Evidence from CSF, blood plasma and brain samples
Authors: Kumar Sumit , Mehan Sidharth , Khan Zuber , Gupta Ghanshyam Das 
Published: October 2023

Abstract
Amyotrophic lateral sclerosis (ALS) is a paralytic disease that damages the brain and spinal cord motor neurons. Several clinical and preclinical studies have found that methylmercury (MeHg+) causes ALS. In ALS, (MeHg+-induced neurotoxicity manifests as oligodendrocyte destruction; myelin basic protein (MBP) deficiency leads to axonal death. ALS development has been connected to an increase in signal transducer and activator of transcription-3 (STAT-3), a mammalian target of rapamycin (mTOR), and a decrease in peroxisome proliferator-activated receptor (PPAR)-gamma. Guggulsterone (GST), a plant-derived chemical produced from Commiphorawhighitii resin, has been found to protect against ALS by modulating these signalling pathways. Vitamin D3 (VitD3) deficiency has been related to oligodendrocyte precursor cells (OPC) damage, demyelination, and white matter deterioration, which results in motor neuron death. As a result, the primary goal of this work was to investigate the therapeutic potential of GST by altering STAT-3, mTOR, and PPAR-gamma levels in a MeHg+-exposed experimental model of ALS in adult rats. The GST30 and 60 mg/kg oral treatments significantly improved the behavioral, motor, and cognitive dysfunctions and increased remyelination, as proven by the Luxol Fast Blue stain (LFB), and reduced neuroinflammation as measured by histological examinations. Furthermore, the co-administration of VitD3 exhibits moderate efficacy when administered in combination with GST60. Our results show that GST protects neurons by decreasing STAT-3 and mTOR levels while increasing PPAR-gamma protein levels in ALS rats.
Enhancing ECG Signal Data through Denoising Features with Transformer Generative Adversarial Networks for Model Classification 1D-CNN
Authors: Yehezky Hendrico , Bustamam Alhadi , Hermawan Hermawan 
Published: October 2023

Abstract
An important component of telemedicine's remote cardiac health monitoring of patients is the use of artificial intelligence (AI) technology to detect electrocardiograph (ECG) signals. Failure to properly diagnose and treat abnormal ECG patterns caused by arrhythmia symptoms can result in a fatal outcome. Given that arrhythmia symptoms contribute significantly to noncommunicable cardiovascular disease (CVD), which is responsible for approximately 32% of global mortality, this concern becomes even more significant. The high sensitivity of ECG signals to both external and internal electrical disturbances makes accurate interpretation of these signals for arrhythmia detection challenging. An effective denoising technique is presented in this method as a substitute approach to reduce noise disturbances in ECG signal data and enhance the quality of the training data for AI detection models. This pre-processing technique combines a synthesis approach with Gaussian filtering, an auto-encoder-decoder (transformer), and generative adversarial networks (GANs). The MIT-BIH dataset is the subject of research for this study, which has been categorized into Normal, Atrial Premature, Premature Ventricular Contraction, Fusion of Ventricular and Normal, and Fusion of Paced and Normal. The research findings show that the quality of the synthesized data is almost identical to that of the original data. It is advised to use a deep neural network (DNN) model instead of the previous prediction model for this enhanced dataset, specifically a one-dimensional convolutional neural network (1D-CNN), which is well suited for training this reconstruction data through this experiment.
Combining Convolutional Neural Network with Physics- Based Features in Shallow and Intermediate-depth Earthquake Discrimination
Authors: Zheng Zhou , Lin Binhua , Jin Xing , Kang Lanchi , Wang Shicheng , Zhou ShiWen , Zhou Yueyong , Wei Yongxiang , Li Shuilong , YU WeiHeng , Guo Yang 
Published: October 2023

Abstract
It is crucial for earthquake early warning (EEW) to distinguish earthquakes of various focal depths accurately and reliably. However, this task is a significant challenge due to the difficulty in interpreting the underlying physical mechanisms of earthquakes of different focal depths. In this study, we proposed an algorithm that combines a convolutional neural network with physics parameter-based features (CNN-PP) to discriminate between shallow and intermediate-depth earthquakes. A total of 3586 earthquakes in Japan recorded by the K-NET and KiK-net strong-motion seismograph networks from 2003 to 2020 were collected and processed as research data; 38081 Three-channel acceleration seismic records were obtained by station record interception, baseline correction and quality screening along with other pre-processing procedures. Among them, 26644 and 11437 records were used as the training and the test dataset, respectively. The test results show that the CNN-PP model outperforms the CNN model in discriminating shallow and intermediate-depth earthquakes. In addition, we test the CNN-PP model with the seismic events (M ≥ 3) that occurred in Japan in February 2022, and the results confirmed that this model has good performance in discriminating earthquakes of varying magnitudes. The CNN-PP model can effectively discriminate shallow and intermediate-depth earthquakes and has great application potential in EEW.
Morphological and conductivity studies of fullerene and N-vinyl carbazole based interpenetrating Polymer network
Authors: Jafri Mohd. Meraj , Kamal Meet 
Published: October 2023

Abstract
In the present study we have synthesized interpenetrating polymer network (IPN) of fullerene and N-vinyl carbazole (NVK). The IPN was characterized using infrared (IR) spectroscopy, scanning electron microscope (SEM) and conductivity techniques which reveals desirable and interesting results. IR spectroscopy reveals presence of fullerene at 527 cm− 1 and 1600 cm− 1 and poly (N-vinyl carbazole) at 1101 cm− 1. A thin polymeric interconnected film is seen via SEM technique, revealing transparent and dual phase morphology. IPN was also analyzed for permeability and permittivity, which reveals maximum value of εr՛, εr՛՛ and tanδε at 2.77, 0.48 and 0.11 respectively and maximum values of µ՛r of µ՛՛r and tanµr ranging from 0.99 to 1.50, 0.01–0.103 and 0.01–0.08 respectively. Moderate values of permeability and permittivity reveals electromagnetic property of the IPN. Conductivity IPN was calculated and found to be was found to be 4.98 S/m which describes the semi conducting nature of the polymeric network.
Targeted metabolic profiling in determining the metabolic heterogeneity in human biopsies of different grades of glioma
Authors: Vanisree Arambakkam Janardhanan , Gangadharan Thamizhoviya 
Published: October 2023

Abstract

Gliomas are intricate tumors with numerous metabolic and genetic abnormalities contributing to their aggressive phenotypes and poor prognoses. The study aims at identifying the key molecular metabolic as well as gene expressional variations that could be used not only to differentiate between different grades of glioma, with potential for improved early diagnostics but also to obtain a deeper insight about metabolic observation of glioma. In the present study, the metabolomic profiling along with clinical, and expressional analyses of glioma biopsies (n = 56; patients comprising both of benign and malignant lesions) were analyzed. The biopsies were subjected to gene/protein expressional analysis using RT-PCR, western blotting and also were subjected to metabolite analyses. The results of the gene/protein expressional analysis exhibited elevated levels of carnitine palmitoyltransferase, monoglyceride lipase, human phosphofructokinase, and isocitrate dehydrogenase in higher grades of glioma when compared to those of control. Our study suggested that the metabolites and gene/protein expressional levels were found to be discriminative among the grades of glioma. The study is deemed as a provider of deeper insights that are essential for differential therapeutic approaches that specifically target the dysregulated metabolome to the benefit of patients.
Free-Form Grid Structure Multi-Objective Optimization Associated with Integrated Design and Machine Learning
Authors: Fard Mahdi S. , Ghaderi Elham , Fooladi Mohammad Pour 
Published: October 2023

Abstract
Grid structures are among the lightest spatial structures for supporting large-span shells while constructing an efficient free-form casefree-form is exceedingly challenging. This research aims to investigate a special type of pattern for free-form grid structures using a process that combines selected design variables with their corresponding structural properties. Therefore, functional grid structures based on traditional Iranian geometries are parametrically interconnected in a workflow, where the results are compared to a base case. Iranian Chahar-Lengeh Girih as the main generative designer is generated by the Hankin Method that defines a controlling parameter (P) for the shape typology where the elements of the structure support a simple quadrilateral grid or a reciprocal one. Comparing these two validates the structural efficiency of architectural and structural performance. The workflow carries out a multi-objective evolutionary algorithm (NSGAII) to optimize the structural performance of the free-form grid structures with satisfying the architectural design requirements concomitantly. It is composed of the design-related part which includes the parameters of generating free-form grid structures, while the element diameter, element thickness, and the number of columns represents the structure-related counterparts. Consequently, reducing Mass, Displacement, and Elastic Energy are optimization objectives, besides K-Means Clustering with diverse approaches is used to explore patterns of possible solutions among the functions. The results portray that in the Overall-Best solution extracted by the workflow, with a P parameter equal to 0.8, Displacement, and Elastic Energy are improved by %88.44 and %89.82, respectively compared to its Reference Case where P = 0.5 (simple grid shell).
Pregnancy outcomes in patients complicated with pre-excitation syndrome
Authors: Wang Kana , Xin Junguo , Hu Qing , Wang Xiaodong , Yu Haiyan 
Published: October 2023

Abstract
Introduction:
Pregnant women with pre-excitation syndrome are more likely to develop supraventricular tachycardia (SVT) during pregnancy and delivery, leading to an increased risk of adverse events.
Method
This was a retrospective study of 309 pregnancies in 280 women (29 women had two pregnancies in this series) with pre-excitation syndrome who delivered at West China Second University Hospital from June 2011 to October 2021. All of the recruited pregnant women were divided into SVT and non-SVT groups to analyze the cardiac and obstetric complications.
Results
Among the included pregnant women, the prevalence of pre-excitation syndrome was 0.24% (309/127725). In the 309 cases with pre-excitation syndrome during pregnancy, 62 (20.1%, 62/309) had a history of SVT. In the 62 cases with SVT during pregnancy, 22 (35.5%) cases had a history of SVT. Gestational diabetes mellitus was associated with SVT during pregnancy. The cesarean section rate was 88.7% in the SVT group, which was significantly higher than that in the non-SVT group (64.8%) (P < 0.001). Cases with SVT during pregnancy had more cardiac and obstetric complications. Four fetal deaths were recorded in the SVT group. Additionally, 29 women experienced two pregnancies during the study period, among whom, five received radiofrequency ablation after the first delivery and obtained better outcomes in the second pregnancy.
Conclusion
The outcomes of pregnant women with pre-excitation syndrome were closely related to SVT, with possible risk factors including history of SVT before pregnancy, cardiac function, heart organic abnormalities, and gestational diabetes mellitus.
The impact of budget transparency on tax revenue forecasts: Evidence from Croatian local government units
Authors: Prijaković Simona 
Published: October 2023

Abstract
The tax revenues that are actually collected by local government units for a fiscal year frequently differ from what is planned in their enacted budgets. Despite the literature on budget credibility, little is known about the effect of budget transparency on budget forecasting deviations and errors. This paper analyses whether the level of online local budget transparency (OLBT) affects tax revenue forecasting and the impact of other control variables (e.g., budget balance, income, population, political ideology and strength) on budget deviations for all 556 Croatian local government units (LGUs; cities and municipalities) during the period 2016–2022. This paper also analyses public budget cycles in tax revenue planning at the Croatian local government level. The results show that in LGUs where OLBT increases in pre-election years, underestimation of tax revenues is higher, and overestimation is lower. In election and post-election years, with increased OLBT, underestimation of tax revenues is lower and overestimation is higher.
Adsorption and decomposition of water molecules on Al and/or Ga-doped Graphene at ambient temperature: density functional theory
Authors: Afshari Sadegh 
Published: October 2023

Abstract
To use H2 gas as a common fuel it needs to be in high pressures or cryogenic temperatures to have reasonable density. But, if we have adsorbent materials with high volumetric capacities to store hydrogen at ambient temperature and low pressure without any compressing it is worthwhile to use hydrogen as clean and reversible fuel. Here, we want to report the adsorption and decomposition properties of aluminum and gallium-doped graphene at ambient temperature. We studied the adsorption of H2O molecule on pure and doped graphene via density functional theory. So, possible interactions between the H2O molecule from three sides and pure and aluminum and gallium-doped were examined. After adsorption, decomposition of the H2O molecule has been studied and so on, for receive a reaction pathway, possible intermediates and transition states has been studied. To continue the density of states, interaction energies and thermodynamic parameters have been calculated. The results showed that the adsorbed water on aluminum and/or gallium-doped graphene decompose to OH and H and then adsorb on the surface again at ambient temperature and this process was thermodynamically favorable.
Experience of symptom clusters and the supportive needs of patients undergoing concurrent chemoradiotherapy for cervical cancer: a qualitative study
Authors: Song Zihe , Jiang Jinxia , duan xia , yan xiaoxue 
Published: October 2023

Abstract
Purpose
To explore the experience of symptom clusters and the current status of supportive need of cervical cancer patients after concurrent chemoradiotherapy and to provide a basis for improving symptom management and social support systems for cervical cancer patients.
Methods
In this phenomenological study, a total of 13 patients who had undergone concurrent chemoradiotherapy for cervical cancer were selected using a purposive sampling method. From January to October 2022, semi-structured face-to-face interviews were conducted to collect data and a seven-step Colaizzi process was used for data analysis.
Results
Three themes for the symptom cluster experience were found: declining quality of life, prominent negative emotions, and ineffective response to symptoms. Three themes of patient support needs were identified: mental and psychological needs, medical service needs and desired social support.The subtopics corresponded to these themes.
Conclusions
Patients with concurrent chemoradiotherapy of cervical cancer have a long disease course, more adverse reactions, and many cluster symptoms, which lead to a high demand for support. Medical staff should strengthen the education of patients about the disease, provide a systematic continuity of care information management platform, establish an effective emotional support system, make comprehensive efforts to reduce the financial burden on patients, promote physical and mental rehabilitation of patients, and improve their quality of life.
Short variable regions flaA gene (SVR-flaA) diversity of multidrug resistant Campylobacter strains from poultry and poultry meat in India
Authors: Iqbal Saima , Qureshi Sabia , Banday Muddasir. S , Farooq Shaheen , Kashoo Zahid A , Gulzar Maliha , Bhat M. Altaf , Pandit Arif , Hussain Md. Isfaqul , Dar Pervaiz , Badroo Gulzar , Hafiz Mahrukh , din Faheem ud , Mehraj Junaid 
Published: October 2023

AbstractHuman gastrointestinal infections caused byCampylobacterspecies is the second most important foodborne illness after Salmonellosis worldwide. Poultry are the largest reservoir forCampylobacterorganisms. In the present study the short variable region of flagellin gene (SVR-flaA) typing was carried out to determine the variation among the circulating strains ofC. jejuniandC. coli. TheCampylobacter jejuniandC coliisolated from poultry birds and poultry meat were screened for the presence of virulence determinants likecadF,flaA,cdtB, andwlaN gene. The screening forwlaN gene is crucial in view of fact thatC jejunistrains that elicit Guillian Barre’s (GB) syndrome in humans carrywlaN gene. Out of the 200 samples comprising of poultry meat and cloacal swabs, 21.5% of samples were found positive forCampylobacterspp, 2.5% forC. jejuni, and 19% forC. coli. ThecadF,flaA,cdtB virulence genes were detected in all strains ofCampylobacterisolated in the present study. The presence of thewlaN gene in theC jejunistrains isolated in the present study may pose a public health threat with long term human health implications. The SVR-flaA typing ofCampylobacterstrains revealed thatCampylobacter coli flaA sequence 0L471375 is a new strain with a novel allele type 1675 and peptide sequence 5 which stands deposited in pubMLST database forCampylobacter. The otherflaA-SVR gene sequences identified in this study were OL471369, OL471370, OL471371, OL471372, OL471373, and OL471374. VariableDdeI-RFLP patterns ofCampylobacterstrains in the present study ranging from 100-1000bp were observed. Antimicrobial profiling of the strains revealed 100% resistance to ciprofloxacin (CIP), ampicillin (AMP), penicillin (PCN) nalidixic acid (NAL) whereas resistance to Tetracycline (TET) was 57.1%, 57.1% for erythromycin (Ery) 28% for amoxicillin (AMX) and enrofloxacin (ENFX) and 85% for amikacin (AMK). The high degree of resistance to fluoroquinoles is important in view of fluoroquinolones being drugs of choice for treatment of humanCampylobacterinfections.
WITHDRAWN: Cytotoxicity and wound healing efficacy of biosynthesis ZnO Nanoparticles Using Aspergillus niger against Multidrug Resistant Pseudomonas aeruginosa
Authors: Moustafa Elham E. , Hewedy Maha A. , Abdelbary Salah , Mohammed Howida R. , Kheiralla Zeinab M.H. 
Published: October 2023

Abstract

Background
Critically ill patients, particularly burn patients, are at substantial risk from Pseudomonas aeruginosa infection, which is a common source of healthcare-acquired infections. The rise of multidrug resistant pathogens is increasing, making control difficult. Infectious infections continue to be a public health concern worldwide, owing to growing resistance to antimicrobial agents. The current study was designed to assess the effectiveness of biologically produced zinc oxide nanoparticles (ZnO-NPs) in both vitro and vivo against MDR P. aeruginosa.
Results
Four soil samples were gathered from various sites. Fifteen fungus isolates were identified and tested for their ability to produce green ZnO NPs. The antibacterial activity of the biosynthesized ZnO NPs was evaluated against P. aeruginosa. Using morphological and molecular methods, a powerful fungal isolate in producing ZnO NPs was identified. The isolate of the fungus was recognized as A. niger. ZnO-NPs were produced biologically and UV-vis spectroscopy, Fourier-transform infrared (FT-IR), Transmission Electron Microscopy (TEM), X-ray diffraction (XRD), and Zeta potential and particle size analysis were then used to characterize the samples. The biosynthesized ZnO NPs had no impact on normal melanocyte mammalian cell line (Hfb4) with IC50 365.64µM, had an antitumor effect on breast cancer cell lines (Mcf7) with IC50 61.92µM and displayed antiviral effects against the herpes simplex virus type 1 (Hvs1) (91.4%) at 250 µg/ml. Using female albino rats infected with P. aeruginosa, the antibacterial efficacy and wound healing effectiveness of synthesized ZnO NPs were assessed and their activity was compared with different agents including saline solution alone, fusidic acid (20 ml/g), and chemically synthesized ZnO NP. In comparison to other agents employed, the findings demonstrated that biosynthesized ZnO NPs have a significant impact on the process of wound healing. An estimation of the oxidative stress and immune response in rats given biosynthesized ZnO NP treatments revealed that oxidative stress and inflammation were reduced because of the presence of infection. Three weeks later, histopathological examination was performed to assess the wound healing development.
Conclusions
The outcomes showed after 14 days, ZnO NPs are highly effective against MDR P. aeruginosa and accelerate the healing of wounds.