bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tandospirone Prevents Anesthetic-Induced Respiratory Depression through 5-HT1A Receptor Activation in Rats
Authors: Song Mengran , Huang Mingzhi , Tao Weijie , Yong Zheng , Su Ruibin 
Published: March 2024

Abstract

Background: Respiratory depression is a side effect of anesthetics such as fentanyl, dexmedetomidine, and midazolam. Clinical treatment with specific antagonists or respiratory stimulants interferes with the sedative effects of anesthetics; therefore, drugs that ameliorate respiratory depression without affecting the sedative effects of anesthetics are needed. Previous studies have suggested that tandospirone may be one such candidate. Therefore, we performed pharmacological studies in rats to evaluate this issue.
Methods: The pharmacodynamic ability of tandospirone to ameliorate respiratory depression and its effects on arterial oxygen saturation (SaO2) were evaluated in a rat model under anesthesia. The protein kinase A redistribution method was used to determine whether tandospirone activated α2a/2c and μ receptors. The effects of tandospirone on current modulation of α1β2γ2 and α4β2δ gamma amino-butyric acid (GABA) receptors were explored using the two-electrode voltage clamp technique.
Results: Prophylactic administration of tandospirone reduced respiratory depression caused by fentanyl, dexmedetomidine, and midazolam in rats. Tandospirone increased SaO2 in rats treated with fentanyl or midazolam. The ability of tandospirone to prevent respiratory depression was completely inhibited by the 5-hydroxytryptamine (5-HT)1A receptor antagonist WAY100635. Co-administration of tandospirone with dexmedetomidine or fentanyl did not affect the activation of α2a/2c or μ receptors by dexmedetomidine or fentanyl. Tandospirone did not affect the modulation of α1β2γ2 and α4β2δ GABA receptors by midazolam.
Conclusion: Tandospirone ameliorates respiratory depression caused by anesthetics in rats through 5-HT1A receptor activation. Future studies should validate these findings and evaluate whether tandospirone has clinical application value for ameliorating respiratory depression in patients receiving anesthetics.
Characterization of Two Novel Isolates of Photorhabdus and Xenorhabdus: Molecular Identification, Growth Rate, Virulence, and Antibacterial Susceptibility
Authors: Azar Zahra Sharifi , Kary Naser Eivazian , Mohammadi Davoud 
Published: March 2024

Abstract

This study provides an analysis of two isolates of entomopathogenic nematodes and their symbiotic bacteria recovered from soil samples of north-west of Iran. Molecular techniques, including phylogenetic analysis of ITS-rDNA, 28s-rDNA, 16s-rDNA and gyrB sequences identified nematodes as Heterorhabditis bacteriophora and Steinernema carpocapsae, along with their symbiotic bacteria Photorhabdus thracensis and Xenorhabdus nematophila, respectively. The growth dynamics of these bacteria were also explored, revealing similar growth curves and distinctive patterns. Xenorhabdus nematophila displayed a rapid transition into the log and stationary phases, differing from P. thracensis. Within 32 hours post-inoculation, both bacteria experienced growth reduction, but P. thracensis demonstrated a steeper decrease. Moreover, the study assessed the virulence of the bacteria against Galleria mellonella larvae, highlighting higher virulence of X. nematophila (LC50 = 294.36 × 106). Additionally, we explored the inhibitory effect of antibiotics, with Ampicillin and Chloramphenicol identified as the most effective against P. thracensis and X. nematophila, respectively. The inhibitory effect of antimicrobial agents on the growth of P. thracensis and X. nematophila was concentration-dependent, highlighting the importance of selecting appropriate concentrations for effective control of bacterial infections while minimizing disruption to beneficial symbiotic bacteria during mass production process of bacteria or entomopathogenic nematodes. Among the antibiotics with the lowest inhibitory effects on bacteria, Erfamicin caused lowest mortality on infective juveniles of both nematodes.
Pilot protection of new energy field station transmission line based on Kendall correlation coefficient
Authors: Deng Lichuan , Wu Hao , Xiaopeng Li 
Published: March 2024

Abstract
In order to solve the problems of mis-actuation and rejection based on the protection method of industrial frequency quantity, a new pilot protection method applicable to the new energy field station sending out line is proposed to ensure the reliable operation of the new energy grid-connected system and the sending out line. The fault transient current characteristics of synchronous generator and inverter power supply are analyzed, and it is concluded that the fault transient current waveforms of the new energy side and the system side have obvious differences when the in- and out-of-area faults occur in the transmission line, and the new longitudinal protection method based on the Kendall correlation coefficient is proposed by using the improved soft-threshold wavelet packet network method for preprocessing of the sampled data. The simulation results show that the proposed new protection method can reliably and sensitively recognize various types of faults inside and outside the new energy field station sending line area, and has strong noise immunity and tolerance to transition resistance.
Clinical characteristics and analysis of risk factors for disease progression in patients on maintenance hemodialysis infected with SARS-CoV-2 omicron variant
Authors: Zhang Huanhuan , Liao Cong , Wu Ting , Hu Chun , Liao Meiyan , Shui Hua 
Published: March 2024

Abstract

Objective:To summarize the clinical characteristics of patients on maintenance hemodialysis (MHD) with the novel coronavirus omicron variant and explore the risk factors for severe cases.
Methods:We retrospectively analyzed the data of 158 patients on MHD from Zhongnan Hospital of Wuhan University between December 7, 2022 and January 31, 2023. We collected clinical data, described clinical characteristics, and analyzed the relationships between these factors and critical illness using univariate and multivariate logistic regression analyses.
Results: The median age of the 158 patients was 63 (interquartile range: 52–71) years, and 128 (63.7%) were men. Fever (62.7%) and cough (60.1%) were the two most common symptoms. Hypertension (80.4%) was the most common comorbidity, followed by diabetes (31.0%), cardiovascular disease (22.8%), and cerebrovascular disease (15.2%). Unvaccinated patients constituted the majority of the enrolled patients (88.6%, 140/158), whereas only a small proportion (11.4%, 18/158) had been vaccinated (including fully vaccinated and partially vaccinated patients). Multivariate logistic regression analysis indicated that an elevated C-reactive protein (CRP) level (odds ratio [OR]: 1.03, 95% confidence interval [CI], 1.014–1.046], p<0.001) and a decreased platelet count (OR: 0.986, 95% CI, 0.986 (0.976–0.997), p=0.013) during hospitalization were risk factors for the severe group.
Conclusions:This study demonstrated a high mortality rate among patients on MHD infected with omicron variant. Furthermore, advanced age, increased CRP levels, and decreased platelet count were predictors of critical illness.
Molecular characterization of potential zinc solubilizing bacterial isolates from onion rhizosphere and validation of solubilization ability of PantoeaeucrinaZSC9 using FE-SEM and EDS
Authors: Choudhary Shivi , Saharan Baljeet Singh , Gera Rajesh , Kumar Shubham , Gupta Anshika 
Published: March 2024

Abstract
Zinc (Zn) is essential for optimal growth and nutrition of plant and zinc solubilizing bacteria (ZSB) enhance its accessibility for plants by converting insoluble forms into usable ones. The primary objective of current research was to isolate and identify Zn solubilizing strains from onion rhizosphere and evaluate their ability to solubilize different insoluble Zn compounds, including ZnO, ZnCO3 and Zn3(PO4)2. Out of the nineteen bacterial isolates retrieved, fifteen were found to be proficient in solubilizing inorganic Zn minerals based on plate assay techniques. The Zn solubilizing bacterial strains chosen through qualitative assessment were subjected to quantitative testingin the broth culture using AAS and FE-SEM-EDS. Seven most potential bacterial isolates with the ability to solubilize Zn were identified using 16S rRNA gene amplification and sequence analysis. The isolates were found to be affiliated with Pantoeaeucrina, Pantoeadispersa, Pseudomonas aeruginosa, Bacillus velezensis and Pseudomonas fluorescens. To the best of our knowledge, this appears to be the first finding demonstrating Pantoeaeucrina as a potential ZSB. The maximum Zn solubilization index (8.85) and the highest soluble Zn content (624 mg/l) among the three insoluble Zn salts was exhibited by the strain Pantoea eucrina ZSC9 on the 10th day of incubation in ZnO enriched basal medium. Among the three insoluble Zn compounds, all of the bacterial isolates were more effective at solubilizing ZnO compared to ZnCO3 and Zn3(PO4)2. The solubilization of Zn led to a significant drop in pH of the broth and Pantoeaeucrina ZSC9 exhibited the maximum reduction in pH (3.82) in ZnO supplemented medium. A negative correlation was observed between the pH of broth and Zn solubilization by all the isolates. Based on our results, it is suggested that the identification of promising ZSB isolates and their application as biofertilizers has the potential to enhance plant growth and development.
Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks
Authors: Lone Aijaz , Tang Meng , Rahimi Daniel Norouzzadeh , zou xuecui , Zheng Dong-xing , Fariborzi Hossein , Zhang Xixiang , Setti Gianluca 
Published: March 2024

Abstract
Spintronic devices, -based on the domain walls and skyrmions, Spintronic devices have shown significant potential for applications in energy-efficient data storage and beyond CMOS computing architectures. Based on the magnetic multilayer spintronic devices, we demonstrate the magnetic field-gated and current-controlled Leaky integrate and fire neuron characteristics for the spiking neural network applications. The LIF characteristics are controlled by the current pulses, which drive the domain wall motion, and an external magnetic field is used as the bias to tune the firing properties of the neuron. Thus, the device works like a gate-controlled LIF neuron, acting like a spintronic Mem-transistor device. The current and magnetic field-controlled neuron spiking rate is shown. We developed a LIF neuron model based on the measured characteristics to show the device's integration in the system-level SNNs. We extend the study and propose a scaled version of the demonstrated device with a multilayer spintronic domain wall magnetic tunnel junction as a LIF neuron. using the combination of SOT and the variation of the demagnetization energy across the thin film, the modified leaky integrate and fire LIF neuron characteristics are realized in the proposed devices. Finally, we integrate the measured and simulated neuron models in the 3-layer spiking neural network (SNN) and convolutional spiking neural network CSNN framework to test these spiking neuron models for classification of the MNIST and FMNIST datasets. In both architectures, the network achieves classification accuracy above 96%. Considering the good system-level performance, mem-transistor properties, and promise for scalability. The presented devices show an excellent alternative for neuromorphic computing applications.
Safe and Reconfigurable Manufacturing: Safety Aware Multi-Agent Control for Plug &amp; Produce System.
Authors: Massouh Bassam , Danielsson Fredrik , Lennartson Bengt , Ramasamy Sudha , Khabbazi Mahmood 
Published: March 2024

Abstract

Plug & Produce is a concept that is envisioned to revolutionise manufacturing by enabling the seamless integration of machines into production processes without extensive programming, offering increased flexibility, and faster production ramp-up times after reconfiguration. This concept implies a smart and advanced system control architecture typically achieved with Multi-Agent Systems (MAS). In the context of moving towards more human participation in smart manufacturing, the realization of the Plug & Produce concept depends on enabling the safe operation of the manufacturing system which is the focus of this paper. The main challenge to safe operation comes from autonomous decision-making, as agents in the multi-agent system are typically not aware of the risk consequence of their behaviour. Another challenge is the difficulty of perceiving the exact behaviour of the system which leads to the implementation of overly restrictive safety measures. This in turn limits the system’s flexibility and ability to make decisions for efficient production. This paper proposes a method utilizing multi-agent control of Plug & Produce to conduct automatic safety analysis and reason the task allocations to avoid risks. The benefit of this method is it enables generating control actions in compliance with safety requirements during operation. Also, the method eliminates the need for overly restrictive safety measures, this flexibility allows for more effective utilization of equipment while maintaining safety requirements. Illustrated through a manufacturing scenario with two different reconfigurations, safety requirements are proven satisfied by the formal verification of the proposed method using the model checker NuSMV. The formal verification results confirm the benefits of the proposed method.
Construction of a Prognostic Model for Lung Adenocarcinoma Based on Nucleotide Metabolism-Related Genes and Bioinformatics Analysis
Authors: Cui Xiangyu , Han Wenjie , Liu hongyu , Li Yongwen , Zhang Ruihao , Zhu Guangsheng , Huang Hua , Chen Jun 
Published: March 2024

Abstract
Background: Metabolic reprogramming is an important hallmark of cancer. However, it is still uncertain how nucleotide metabolism-related genes (NMRGs) may affect the prognosis of Lung adenocarcinoma (LUAD).
Methods: In our study, the LUAD cohorts from the bioinformatics databases were downloaded. Characteristic genes related to prognosis of LUAD patients were obtained through combining differentially expressed analysis, univariate COX analysis, least absolute shrinkage and selection operator (LASSO), and multivariate COX, and the risk model was constructed. Then, the immune infiltration, immunotherapy, and mutations analyses between high and low risk groups were conducted. Finally, drug sensitivity analysis and reverse transcription-polymerase chain reaction (RT-qPCR) was executed to validate the expression of the biomarkers.
Results: Based on 4 characteristic genes (RRM2, TXNRD1, NME4, and NT5E), the risk model was established, and the patients were assigned to high/low risk groups. The survival analysis demonstrated that patients in low risk groups had higher survival. The infiltrating abundance of 11 immune cells, the expression of 25 immune checkpoints, TIDE score, Dysfunction score, Exclusion score, IPS, and IPS-CTLA4 were significantly different between two risk groups. Additionally, the survival of patients in low-risk and high-TMB group was the highest. Finally, the IC50 of 124 drugs was considerably different between two risk groups, such as Doramapimod_1042, BMS-754807_2171, MK-2206_1053, etc. Finally, RT-qPCR results showed that RRM2 and NT5E expression was obviously up-regulated and TXNRD1 expression was obviously down-regulated in LUAD.
Conclusion: Taken together, this study created a nucleotide metabolism related prognostic characteristic, which was relevant to immune microenvironment and immunotherapy.
Genome transposon analysis of blackleg causal pathogen
Authors: Tian Min , Hao Lingyu , Li Ru , Zhang Lugang 
Published: March 2024

Abstract

Background
To understand genome transposon presence of blackleg pathogen and the relationship between its pathogenicity and transposons, we performed transposon analysis of blackleg pathogen through bioinformatics.
Results
For three pathogen strains, their genome transposon proportion was distantly beyond 4%, the pathogen strain Lmb V23.1.3 indicated the most genome transposons, followed by Lbb B3.5 and Lbb CA1, the LTR retrotransposons proportion was obviously more than other types of transposons and the Ty3/Gypsy retrotransposon proportion was greater than Ty1/Copia retrotransposons. there were no Ty1/Copia retrotransposons in Lbb CA1. Most Ty1/Copia and Ty3/Gypsy retrotransposons presented distinct evolutionary distance among different pathogen strains. Besides, the higher LTR retrotransposon density, the lower gene density, the Solo-LTR retrotransposons were much greater than intact LTR retrotransposons. Both Solo-LTR and intact LTR retrotransposon counts were the highest in Lmb V23.1.3, followed by Lbb B3.5 and Lbb CA1 respectively. Many intact LTR retrotransposons in Lmb V23.1.3 were more ancient than those in Lbb B3.5 and Lbb CA1. However, lots of homologous LTR retrotransposons in Lmb V23.1.3 were younger than those in Lbb B3.5 and Lbb CA1. No common intact LTR retrotransposons were identified between L. maculans species and L. biglobosa species, and significantly few even between two strains of the same pathogen species. Large number of special intact LTR retrotransposons in L. biglobosa were relatively younger than those in L. maculans. In addition, the LINE elements only occurred in Lmb V23.1.3, which was possibly responsible for its stronger pathogenicity.
Conclusions
Some pathogen strains of L. biglobosa species also contained genome transposon of distantly beyond 4%. For both L. biglobosa and L. biglobosa species, the LTR retrotransposon proportion was obviously more than other types of transposons. There was distinct evolutionary distance of LTR retrotransposons and no common intact LTR retrotransposons between two pathogen species. The Ty3/Gypsy retrotransposon proportion was greater than Ty1/Copia retrotransposons. Large number of special intact LTR retrotransposons in L. biglobosa were relatively younger than those in L. maculans. The LINE elements only occurred in Lmb V23.1.3 of L. maculans species, which was possibly responsible for its stronger pathogenicity.
Altered Functional Connectivity of Resting-State Networks and the Correlation with Clinical Characteristics in Intermittent Exotropia: A Resting-state Magnetic Resonance Imaging Study
Authors: Li Huixin , Li Wei , Hong Jie , Liu Jiawen , Hao Jie , Dai Wei , Liu Zhaohui , Fu Jing 
Published: March 2024

Abstract

Background: The pathogenesis of intermittent exotropia (IXT) remains unclear. The study aims to investigate alterations of resting-state networks (RSNs) in IXT patients using resting-state functional magnetic resonance imaging (rs-fMRI) data to explore the potential neural mechanisms.
Methods:26 IXT patients and 22 age-, sex-, handedness-, and education-matched healthy controls (HCs) underwent fMRI scanning and ophthalmological examinations. Brain areas with significant functional connectivity (FC) differences between the IXT and HC groups were selected as regions of interest (ROI) and mean z-scores were calculated to control for individual differences.
Results:Compared with HCs, IXT patients exhibited altered FC in various brain regions within RSNs involved in binocular fusion, stereopsis, ocular movement, emotional processes and social cognition, including the default mode network (DMN), the dorsal attention network (DAN), the visual network (VN), the sensorimotor network (SMN), the executive control network (ECN), the frontoparietal network (FPN) and the auditory network (AN). The degree of exodeviation was positively correlated with FC value of left middle occipital gyrus (MOG) within the VN. Correspondingly, we found a negative correlation between the degree of exodeviation and the FC value of left angular gyrus (AG) within FPN(P<0.05). The FNC analysis between different RSNs also provides evidence on visual-motor cortical plasticity.
Conclusions: IXT patients showed widespread changes of brain activity within RSNs related to binocular fusion, stereopsis, oculomotor control, emotional processes, and social cognition. These findings extend our current understanding of the neuropathological mechanisms of IXT.
Trial registration:
Beginning date of the trial: 2021-09-01
Date of registration:2021-07-18
Trial registration number: ChiCTR 2100048852
Tegistration site: http://www.chictr.org.cn/index.aspx
Precision mapping of snail habitat in lake and marshland areas: integrating environmental and textural indicators using Random Forest modeling
Authors: Zhang Xuedong , Lv Zelan , Dai Jianjun , Ke Yongwen , Hu Yi 
Published: March 2024

Abstract
Background
Schistosomiasis japonica poses a significant health issue in China, largely due to the spatial distribution of Oncomelania hupensis, the only intermediate host of Schistosoma, which directly affects schistosomiasis incidence. This study therefore aimed to address the limitations in existing remote sensing studies, particularly the oversight of spatial scale and seasonal variations in snail habitats by introducing a multi-source data-driven Random Forest approach.
Methods
This method effectively integrates bottomland and ground-surface texture data with traditional environmental variables for a more comprehensive and accurate snail habitat analysis. Four distinct models focusing on lakes and marshlands in Guichi, China, were developed: the baseline model, including ground-surface texture, bottomland variables, and environmental variables; Model 1, including only environmental variables; Model 2, including ground-surface texture and environmental variables; and Model 3, including bottomland and environmental variables.
Results
The baseline model outperformed the others, achieving a true skill statistic of 0.93, accuracy of 0.97, kappa statistic of 0.94, and area under the curve of 0.98. The findings identified key high-risk snail habitats, particularly along major rivers and lakes in a belt-like distribution, particularly near the Yangtze River, Qiu Pu River, and surrounding areas of Shengjin Lake, Jiuhua River, and Qingtong River.
Conclusions
This study providing vital data for effective snail monitoring, control strategies, and schistosomiasis prevention. This approach may also be applicable in locating other epidemic hosts with similar survival and ecological characteristics.