bluuebunny/crossref_metadata_2025_split huggingface dataset:
Elucidating the effect of biocontrol agents on seed mycoflora and plant growth characteristics of soybean (Glycine max (L.) Merrill)
Authors: Gujjar Twinkle , Singh Amar , Pal Joginder 
Published: April 2024

Abstract

The effect of different biocontrol agents viz. Trichoderma viride (TV-1), T. harzianum (TH-4), T. koningii (JMA- 11), T. harzianum (TH- 11), T. koningii (DMA- 8), Pseudomonas fluorescens and Bacillus sp. was assessed on seed mycoflora and plant growth characteristics of soybean var. Shivalik under in vitro conditions. Alternaria alternata, Aspergillus niger and Colletotrichum truncatum were recorded more predominant genera in soybean seed. Among different bio control agents T. harzianum (TH-11) was found most effective against mycelial growth of A. niger, C. truncatum and A. alternata exhibited 46.16, 72.90 and 72.13 per cent mycelial inhibition, respectively. The seed treatment with T. harzianum (TH-11) also increased seed germination (85.00%), root length (10.45 cm), shoot length (3.07 cm) and seedling vigour index (1149). The outcomes of this study provide encouragement for continued research on biological control of seed borne diseases. The bioagents especially fungi and bacteria have advantage over chemical control such as self- dispersion, self- sustaining and ecofriendly.
A Short Mental Health Literacy Scale: Validation and Application in Brazil
Authors: Buta Bernardo , Couto Vilma , Tabak Benjamin , Froner Matheus 
Published: April 2024

Abstract
Objective: To validate a version of the Mental Health Literacy Scale (MHLS) adapted to Brazilian Portuguese, and evaluate the level of mental health literacy in a sample of the Brazilian population.
Methods: We applied the Brazilian Portuguese version of the MHLS to a sample of 472 adults. We administered the questionnaire in the presence of the interviewers. We use nonparametric tests to compare literacy scores. Using confirmatory factor analysis, we tested the hypothesis of unidimensionality of the MHLS. The structure that best fit the version of the MHLS in Brazilian Portuguese was extracted through exploratory factor analysis.
Results: The results showed that the model with a single-factor structure did not present a good fit. The Brazilian Portuguese adaptation of the MHLS displayed a four-factor structure, comprising 18 items. This version demonstrated satisfactory factor loadings and high levels of reliability. These characteristics suggest that the tool maintains internal consistency and reliability, and can be used to assess mental health literacy effectively. The average MHLS score of the sample was 123.01. The value of the score varies depending on gender, age, education,and the type of health service used.
Conclusion: The Brazilian adaptation of the MHLS has been effective in gauging mental health literacy levels among Brazilians. Future efforts to enhance mental health literacy should focus on middleaged people with lower education levels who utilize public services.
Bibliometric and altmetric analyses of the 100 top-cited letters in Endodontics
Authors: Yılmaz Bülent , Dinçol Muzaffer Emir 
Published: April 2024

Abstract
ObjectivesTo analyze bibliometric and altmetric features of the 100 top-cited letters in endodontics and the relationships of these features with the number of citations.
Material and Methods Scopus and Web of Science databases were reviewed to identify the relevant letters and obtain their traditional bibliometric measures. Univariate statistical tests were used to analyze the relationships between the number of citations and various continuous (Altmetric Attention Score, captures, usage) and categorical (publication model, journal type, social media, institutional collaboration type) parameters of the letters. Poisson regression in a generalized linear model was used for multivariate analysis of the parameters found to be significant in the univariate tests.
Results The majority of the letters (n = 65) concerned clinical issues. There were 13 different types of letters, with opinion letters as the most cited and letters (n = 31) commenting on a previous document as the most frequent. Articles were the most common type of document commented on, whereas the majority of the comments were negative. The multivariate test revealed that the captures (p = 0.001) and the non-dental journal type (p = 0.001) increased the number of citations by 2.533 and 1.008 times, respectively.
Conclusions Publication in a non-dental journal increased the number of citations. Letters expressing opinions on any free topic were the most cited letter type. Captures can be used to predict future citations.
Clinical Relevance The letter is an appropriate document type for conducting a clinical discourse.
Pathways to Corporate Green Technological Innovation: An Analysis from the Perspective of Dynamic Capabilities
Authors: Du Jianhang , Ganbaatar Batkhuyag , Xiong Ni 
Published: April 2024

Abstract

In the context of current global climate change and sustainable development, green technological innovation has become a crucial issue. Chinese enterprises play a key role in this process, not only because China is the largest developing country in the world, but also because of its significant position in the global economy. Therefore, this study aims to explore the main pathways of green technological innovation in Chinese enterprises from the perspective of dynamic capabilities. After analyzing the impact mechanism of corporate dynamic capabilities on green technological innovation, the study finds that dynamic capabilities have a significant influence on the choice of pathways for corporate green technological innovation at different levels. Enterprises with high-level dynamic capabilities are more efficient in enhancing green technological innovation through independent R&D, while those with medium-level capabilities find cooperative R&D more efficient for enhancing green technological innovation, and enterprises with lower dynamic capabilities find technology transactions more efficient for enhancing green technological innovation. Furthermore, this study also found that environmental turbulence, as a moderating variable, significantly affects the relationship between dynamic capabilities and corporate green technological innovation. In more turbulent market environments, the dynamic capabilities of firms in promoting green technological innovation may be weakened. In light of these findings, this study proposes a series of countermeasures for businesses and governments, including strengthening the cultivation of dynamic capabilities, promoting the coordinated development of independent and collaborative R&D, improving the efficiency of technology transactions and applications, and increasing government support for green technological innovation.
Deep Sedation in Lateral Position for Preterm Infants during Cerebral Magnetic Resonance Imaging: a Prospective Observational Study
Authors: Sbaraglia Fabio , Gaudino Simona , Tiberi Eloisa , Maiellare Federica , Spinazzola Giorgia , Garra Rossella , Sala Filomena Della , Micci Daniela Maria , Russo Rosellina , Riitano Francesca , Ferrara Giuseppe , Vento Giovanni , Rossi Marco 
Published: April 2024

Abstract

Purpose: Respiratory adverse events are common during sedation of preterm babies, often needing an active airways support. During magnetic resonance imaging it could extend the acquisition time, with negative impact on the thermic and metabolic homeostasis. The aim of study is to verify if the lying in lateral position instead of supine could improve quality of sedation, without worsen quality of imaging
Methods. This study was performed as a single-center, prospective study at a university-affiliated tertiary care center. A consultant provided a deep sedation with sevoflurane 3-4% delivered by an external mask, in lateral lying. All patients were evaluated for incidence of apnea and desaturation, quality of imaging obtained, timing of imaging acquisition, thermic and metabolic homeostasis.
Results. We enrolled 23 consecutive preterm babies born < 37 weeks Gestational Age, candidate to sedation for an elective magnetic resonance imaging. All patients completed the radiological procedure in 30 minutes (SD ±6.39 minutes) without complications requiring exam interruption. Only one patient (4%) experienced a transient desaturation, while 2 neonates (9%) showed apnea lasting > 20 seconds. On average, there was a 1°C decrease in body temperature and full enteral feeding was resumed within 1.5 hours. Neuroradiologists rated the quality of the images obtained as high.
Conclusions. The lateral lying seems to be a viable option for sedated preterm babies during magnetic resonance imaging with a low risk of apnea and a reduced impact on thermic and metabolic homeostasis. Quality of imaging would be preserved maintaining correct scheduling of standard care.
Trends in transcranial direct current stimulation research for stroke were analyzed via bibliometric methods
Authors: Dong Boran , Gao Yuling , Zhou Jiaqi , Gong Xiaoyang , Liu Yong 
Published: April 2024

Abstract

Background Stroke is one of the leading causes of death and disability globally., and clinical treatment options are limited. Further research is needed to explore potential treatments, including transcranial direct current stimulation (tDCS). This novel, non-invasive technology has garnered increasing attention for its potential to improve stroke prognosis. Methods We studied "tDCS in stroke" research via bibliometric analysis, using data from Web of Science Core Collection. VOSviewer and Citespace were used for statistical and visualization analyses. Results Between 1999 and 2024, 1223 publications related to the topic were retrieved, with annual output growing from 1 in 1999 to 129 in 2023. The USA had the largest number of publications and made the greatest contribution to the field. (n = 352, 28.78%). The keywords of 2024 lasting represent hot topics with occurrence burst. These include "virtual reality", "systematic review", "ischemic stroke", "safety", "repetitive transcranial magnetic stimulation" and "guidelines". They are likely to be frequently cited over the coming years. Conclusions Future research on tDCS, VR, and stroke can establish more standardized guidelines to enhance therapeutic and clinical applications efficacy. Researchers will continue to explore the topic of "the application of tDCS in stroke," achieving exciting results and delving deeply into current treatment bottlenecks.
Mitigation of Stimulated Raman Amplification Artifact in Transient Absorption Spectroscopy
Authors: Roy Nirankush , Karmakar Ayon Jyoti , Datta Prasanta Kumar 
Published: April 2024

Abstract

Artifacts due to nonlinear optical processes like "Cross Phase Modulation (XPM)", "Stimulated Raman Amplification (SRA)", and "Two-Photon Absorption (TPA)" etc., have a detrimental effect on Transient Absorption Spectroscopy (TAS). In this study, we investigate the transient response of distilled water to explore the nature of SRA artifacts. The supercontinuum probe, generated in a sapphire crystal pumped by 808 nm, 50 fs laser pulse, is approximated as a linearly chirped Gaussian with a chirp parameter of 36. The chirp in the probe affects the TAS data, because the different spectral components of the probe arrive at different times, even at zero delay. The process of eliminating the effect of this chirp on the TAS data is successfully implemented. The method presented here will be useful to correct the dynamics of several processes of light-matter interactions such as coherence phenomena, electron-electron scattering and electron-phonon scattering. Also, the imaginary part of the third-order nonlinear susceptibility (χ(3)Im) of water is extracted to be 2.088 × 10−23 m2/V 2, using the SRA artifacts.
Optimizing Feature Selection in Intrusion Detection Using Fisher Score Algorithm: An Analytical Study
Authors: Rathod Ganesh , Sabnis Vikrant , Jain Jay Kumar 
Published: April 2024

Abstract
Traditional intrusion detection methods often fail to meet the unique security requirements of IoT applications, raising serious security concerns due to the rapid expansion of the Internet of Things (IoT) -connectivity and its extensive property, complex structure, and complexity. Machine learning algorithms for intrusion detection have emerged as a solution, offering promise in protecting these complex systems. This paper examines a comprehensive analysis of an Intrusion Detection System (IDS) in an IoT system. Recognizing the important role of feature extraction in IDS, this study aims to help researchers by providing insights on data set selection and confirming the effectiveness of the Fisher Score algorithm. Through a careful comparative analysis using established selection methods—Mutual Information, Chi-Square, Principal Component Analysis (PCA), and Recursive Feature Elimination (RFE)— this study seeks to help researchers choose the most appropriate feature extraction technique in intrusion detection within the IoT framework. Using logistic regression as a classification model, this study allows a thorough analysis and comparison of different selection methods. The results highlight the importance and accuracy of the Fisher Score algorithm in selecting key features for Intrusion Detection in IoT systems. It is worth mentioning, that this research is limited to a specific dataset, NBaIot, which is considered the best and most up-to-date for Intrusion Detection. The specificity observed in this study is dependent on the number of items and data sets. Although the findings may be variable, the selected sets and item sizes have informed the identification of interventions in this study that are deemed optimal.
Timing and Depth Selection for Sedated Gastroscopy After SARS-CoV-2 Infection—A Retrospective Cohort Study
Authors: Yu Ning , Ji Xiangyu , Wang Min , Feng Li , Sun Jian , Qi Lijie , Wang Li , Liu Yinhuan , Zhou Zangong 
Published: April 2024

Abstract
Background
Sedated gastroscopy is a crucial procedure for patients with upper respiratory infections. SARS-CoV-2-infected patients are more susceptible to anesthesia-related complications, such as edema, pharyngeal mucosa congestion, laryngospasm, and pulmonary infections.
Methods
We retrospectively analyzed a total of 386 patients who underwent sedated gastroscopy at the Affiliated Hospital of Qingdao University during the SARS-CoV-2 infection period. The patients were divided into three groups based on SARS-CoV-2 status: Negative (N), Two-week post-SARS-CoV-2 infection (T), and Three-week post-SARS-CoV-2 infection (Th) groups. Based on the anesthesia method, patients were divided into mild/moderate sedation and deep sedation/general anesthesia groups. Additionally, patients were categorized into groups based on COVID-19 severity and vaccination status. We recorded the laryngeal mucosal conditions, the occurrence rates of adverse reactions such as coughing, laryngospasm, and transient oxygen desaturation during the examination, as well as the satisfaction of patients and endoscopists were recorded.
Results
The T group displayed a significantly higher occurrence rate of adverse reactions when compared to the N and Th group, with decreased satisfaction levels of patients and endoscopists. In the T group, the occurrence rate of adverse reactions was higher in mild to moderate sedation than in deep sedation/general anesthesia methods, while patient and endoscopist satisfaction was lower. In the Th group, there was no statistically significant difference in the examination success rate or patient satisfaction between the mild/moderate sedation and deep sedation/general anesthesia methods; however, endoscopist satisfaction was lower with mild/moderate sedation method than deep sedation/general anesthesia method. There was a significant difference in the gastroscopy success rates of patients with different COVID-19 classifications. A significant difference was observed in the gastroscopy success rates among patients with different vaccination statuses.
Conclusions
Sedated gastroscopy post-three weeks of SARS-CoV-2 infection is safe. Moreover, using a deep sedation/general anesthesia method for sedated gastroscopy in SARS-CoV-2-infected patients within three weeks is significantly safer.
Association between total protein, albumin, globulin, albumin- globulin ratio and rheumatoid arthritis: evidence from NHANES and Mendelian randomization
Authors: Liu Ke , Zhang Le , Zhao Haoming , Tang Zuyu , Sheng Hua , Xiong Yixiao , Ou Liang , Kuang Jianjun 
Published: April 2024

Abstract
Background
With the increasing incidence of rheumatoid arthritis (RA) and the increasing percentage of serum RF negativity, there is an urgent need for more and more accurate methods for the early diagnosis and prevention of RA, among which serum proteins are closely related to the development of RA and are expected to become new auxiliary diagnostic tools, but their relationship with RA is not clear, so this study aimed to investigate the causal relationship between total protein (TP), albumin (ALB), globulin ( GLB), and albumin-globulin ratio (A/G) on the causal relationship of rheumatoid arthritis (RA).
Methods
In this study, the relationship between TP, ALB, GLB, A/G and rheumatoid arthritis was comprehensively evaluated by generalized linear modeling and smoothed curve fitting through the data of serum proteins and RA in the NHANES(National Health and Nutrition Examination Survey) database; moreover, for the positive results with significant associations, the inverse variance weighted (IVW) method in Mendelian Randomization (MR) was used in conjunction with the other four methods to further validate and clarify the causative relationship, and finally, the results were subjected to the inspection of heterogeneity and horizontal polytomousness in order to assess whether the results were robust.
Results
In the observational study, after correction for confounders, TP, GLB, and A/G were not significantly associated with rheumatoid arthritis, whereas ALB was significantly negatively associated with rheumatoid arthritis (OR = 0.662, [95%CI = 0.507–0.864], P = 0.003), and subgroup analyses showed significant negative associations in both males and females (male : OR = 0.674, [95%CI = 0.458–0.991], P = 0.047; females: OR = 0.661, [95%CI = 0.437–0.999], P = 0.049). In further MR analysis, IVW: ALB on RA, OR = 0.70 [95%0.52–0.93], P = 0.013; RA on ALB, OR = 0.95 [95%CI = 0.93–0.98], P < 0.001.The results of the MR analyses remained consistent with NHANES.
Conclusion
There is a significant relationship between ALB and RA, and the reduction of ALB may be one of the risk factors for RA, as well as one of the outcomes in the development of RA.
Tet1-mediated 5hmC regulates hippocampal neuroinflammation via wnt signaling as a novel mechanism in obstructive sleep apnoea leads to cognitive deficit
Authors: kong yaru , Ji Jie , Zhan Xiaojun , Yan Weiheng , Liu Fan , Ye Pengfei , Wang Shan , Tai Jun 
Published: April 2024

Abstract

Background: Obstructive sleep apnoea (OSA) is a sleep-disordered breathing characterized by intermittent hypoxia (IH) that may cause cognitive dysfunction. However, the impact of IH on molecular processes involved in cognitive function remains unclear.
Methods: C57BL / 6J mice were exposed to either normoxia (control) or IH for 6 weeks. DNA hydroxymethylation was quantified by hydroxymethylated DNA immunoprecipitation (hMeDIP) sequencing. ten-eleven translocation 1 (Tet1) was knocked down by lentivirus. Specifically, cognitive function was assessed by behavioral experiments, pathological features were assessed by HE staining, the hippocampal DNA hydroxymethylation was examined by DNA dot blot and immunohistochemical staining, while the Wnt signaling pathway and its downstream effects were studied using qRT-PCR, immunofluorescence staining, and Luminex liquid suspension chip analysis.
Results: IH mice showed pathological changes and cognitive dysfunction in the hippocampus. Compared with the control group, IH mice exhibited global DNA hydroxylmethylation in the hippocampus, and the expression of three hydroxylmethylases increased significantly. The Wnt signaling pathway was activated, and the mRNA and 5hmC levels of Wnt3a, Ccnd2, and Prickle2 were significantly up-regulated. Further caused downstream neurogenesis abnormalities and neuroinflammatory activation, manifested as increased expression of IBA1 (a marker of microglia), GFAP (a marker of astrocytes), and DCX (a marker of immature neurons), as well as a range of inflammatory cytokines (e.g. TNF-a, IL-3, IL-9, and IL-17A). After Tet1 knocked down, the above indicators return to normal.
Conclusion: Activation of Wnt signaling pathway by hippocampal Tet1 is associated with cognitive dysfunction induced by IH.
A novel effective chain encryption approach based on deep learning for IoT-based low-power wide area networks
Authors: Dehghani Abbas , Fadaei Sadegh , Das Resul 
Published: April 2024

Abstract
Low-Power Wide Area Networks (LPWANs) represent a category of wireless technologies hailed for their efficiency in facilitating communication for Internet of Things (IoT) applications. This efficacy is attributed to their characteristics of low power consumption, extensive wireless transmission range, and cost-effectiveness. Despite these notable advantages, LPWANs exhibit drawbacks such as limited processing power, modest transmission rates, and notably constrained payload sizes, posing challenges for encryption techniques. The inadequacy of existing cipher-chaining encryption methods for LPWANs is underscored by their dependency on high computing power and payload capacity. To address this issue, this paper introduces an innovative chaining encryption approach tailored for LPWAN IoT technology. The proposed method incorporates a key synchronization mechanism based on deep learning algorithms. The effectiveness of this approach has been rigorously assessed through case studies and experiments. Results from the experiments reveal a commendable performance of the proposed approach, achieving an average accuracy of 99% in key resynchronization following message loss. These outcomes establish the proposed method as a highly competitive solution within the realm of encryption approaches for LPWANs.
Role of CD25 on resting Treg immune cell in Mediating the Effect of stearate biosynthesis microbiome pathway on lung adenocarcinoma
Authors: Yang Lishi , Li Lei , Liu Jiawen , Tan Siyu , Hu Qingxun , Wang Jianxiong , Sun Fuhua 
Published: April 2024

Abstract

Background
Gut microbiota (GM) often influences the development of diseases by regulating the immune system. The causal relationship between GM and lung adenocarcinoma (LUAD) and whether it can be mediated by immune cells remains unclear.
Methods
We conducted two-step, two-sample Mendelian randomization (MR) analyses. The data of GM, LUAD and immune cells for analysis were derived from publicly available genetic data. The causal relationship between GM and LUAD, as well as the mediation effect of immune cells in the association between GM and LUAD were estimated using inverse variance weighted (IVW), MR-Egger and weighted median. Sensitivity analyses were implemented with Cochran's Q test, MR-Egger intercept test, MR-PRESSO.
Results
MR analyses determined the protective effects of PWY-5989 (stearate biosynthesis II bacteria and plants) on LUAD. In addition, CD25 on resting Treg was negatively correlated with LUAD. Of note, the mediation MR illustrated that in the presence of CD25 on resting Treg, PWY-5989 can promote the risk of LUAD by inhibiting the expression of CD25 on resting Treg.
Conclusion
The study suggested a causal relationship between PWY-5989 and LUAD, which may be mediated by CD25 on resting Treg.