bluuebunny/crossref_metadata_2025_split huggingface dataset:
A volatile producing Bacillus subtilis strain from the rhizosphere of Haloxylon ammodendron promotes plant root development
Authors: He Ao-Lei , Ren Wei , Zhao Ling-Yu , Li Hui-Ru , Paré Paul W. , Zhao Qi , Zhang Jin-Lin 
Published: October 2022

Abstract
Aims
The colonization of plant growth-promoting rhizobacteria (PGPR) along plant roots in turn facilitates their ability to promote plant growth and health. In this study, we found that Bacillus subtilis strain WM13-24 from the rhizosphere of Haloxylon ammodendron was able to promote the growth of both Arabidopsis and its host plant. Furthermore, we found that volatile compounds (VCs) from strain WM13-24 could promote plant growth by stimulating lateral root formation and root hair growth. However, the molecular mechanism underlying WM13-24-stimulated root development is still unknown.
Methods
In this study, a series of Arabidopsis mutants defective in specific plant hormone signaling pathways were used as materials to preliminarily study the effect of volatile compounds (VCs) released by strain WM13-24 on plant root development through genetic and pharmacological methods. The volatile compounds of strain WM13-24 were identified by solid-phase microextraction gas chromatography-mass spectrometry (SPME-GC-MS).
Results
The results showed that auxin signaling and transport played a crucial role in WM13-24-stimulated changes of root architectures in Arabidopsis. SPME-GC-MS analysis revealed that WM13-24 produces 2, 3-butanediol and benzyl alcohol and the growth responses of plants to the two VCs were concentration dependent.
Conclusions
All these results suggested that VCs emitted from Bacillus subtilis strain WM13-24 from the rhizosphere of Haloxylon ammodendron improves root development depending on auxin signaling.
Prevalence of high-risk Human papillomavirus infections and associated factors among women living with HIV in Shashemene town public health facility, Southern Ethiopia
Authors: Megersa Tariku , Lencha Bikila , Kumsa Kebede , Lemma Kebebaw , Dengo Sisay 
Published: October 2022

Abstract
Background: Every year, large number of women are suffering from cervical cancer. Particularly women living with HIV are at high-risk of being suffered with it. Early testing of high-risk HPV infection can significantly reduce the incidence of cervical cancer. However, lack of early and regular testing has been identified as one of the major problems among risky populations.
Methods: Institutional-based cross-sectional study design was conducted among women living with HIV in Shashemene town public health facilities with a total sample size of 406 from February 1–March 30. Systematic random sampling technique was employed to select the study subjects. A structured questionnaire and checklist was used to collect data. The collected data were cleaned, coded, and entered into Epi-info version 7.2.5 and exported to statistical package for social science version 24 for analysis. Finally, bi-variable and multivariable logistic regression analyses were performed to identify determinants of high-risk human HPV. Odds ratio with 95% confidence interval was used to test association between exposure and outcome under study and p-value< 0.05 was considered significant.
Results: The prevalence of high-risk HPV infections among study participant was 173(35.2%) with 95% CI (30.5%-40.1%). Prevalence of high-risk HPV type 16, 18 and other high-risk HPV types were 62(15.3%), 23(5.7%) and 58(14.3%), respectively. Having history of sexually transmitted infections [AOR=3.120; 95% CI (1.977-4.923)], Endline CD4 count <200 cells/mm3 [AOR=3.072; 95% CI(1.009-9.350)], Endline HIV viral-load >50 copies/ml [AOR=3.446; 95% CI(1.368-8.683)] and more than one-lifetime sexual partner [AOR=2.112; 95% CI(1.297-3.441)] were significantly associated with high-risk HPV infections.
Conclusion: More than one third of women living with HIV had high-risk HPV. Having history of STI, low CD4 count, high viral load and multiple sexual partners were associated with high risk HPV. HIV positive women with these risk factors should be given special consideration in clinical and public health intervention
WITHDRAWN: Developmental Trends in Academic Emergency Medicine Journals, 2000 to 2019
Authors: Cheng Wen-Mei , Cheng Chien-Wei , Lee Ching-Hsing 
Published: October 2022

Abstract
Background
We investigated academic developmental trends in emergency medicine (EM) by analyzing the performance of EM journals.
Methods
This was a literature review study. We collected data from the Journal Citation Reports (JCR) database for EM category journals, including journal titles, language, numbers, and impact factors (IFs) from 2000 to 2019. The aggregate IFs of EM and 11 other categories (cardiac and cardiovascular systems, clinical neurology, critical care medicine, gastroenterology and hepatology, infectious diseases, general and internal medicine, pediatrics, respiratory system, surgery, toxicology, and urology and nephrology) were collected from 2003 to 2019. The slope of the linear regression was used to evaluate the trend in EM journal IFs and the aggregate IFs of all categories. Pearson’s correlation coefficient was used to evaluate the correlation between EM journals’ IF in 2000 and their IF trend from 2000 to 2019.
Results
The EM journal number increased from 8 (all in English) in 2000 to 31 (26 in English) in 2019. In total, 28 EM journals had a positive IF trend since their initial enrollment into the JCR database, and the trend was significant for 18 journals. The correlation of the EM journals’ IF in 2000 and IF trends from 2000 to 2019 was 0.75. The increasing trend of aggregate IF for the EM category was significant and ranked 8th of 12 categories.
Conclusions
The increased number, language diversity, and IF trend for EM journals indicates that the development of academic EM is a continuous international trend. In the past 20 years, the IF trend increased faster for EM journals with a higher initial IF. The overall performance of EM journals was non-inferior to other medical specialties.
Oceanic Carbon in Seagrass Ecosystems in Freshwaters of Northern Brazil
Authors: Ogbuka Josiah 
Published: October 2022

Abstract

Seagrass ecosystems can sequester and retain considerable amount of oceanic carbon. However, few studies and limited data constrain seagrass carbon stocks on regional and global scales, especially in underreported seagrass region of South America. This study measured and predicted carbon stocks in seagrass beds of the Macapa River and the Barra Grande lagoon, northern Brazil. Aboveground and belowground biomass components were sampled from Halodule wrightii seagrass beds of the Macapa River only, while sediment cores were sampled at 50cm depth in the Halodule wrightii seagrass beds of the Macapa River. In Barra Grande lagoon, three sediment cores were sampled at 8-30cm depth in Halodule wrightii and mixed stands of Halodule sp. seagrass beds. The carbon (C) stocks of the seagrass aboveground and belowground biomass of Halodule wrightii seagrass beds of the Macapa River were 0.005MgC/ha− 1 and 0.018MgC/ha− 1 respectively. The C stock of sediment from seagrass beds in Macapa River averaged 41.8MgC/ha− 1, while the C stock of sediment from seagrass beds of Barra Grande lagoon averaged 12.3MgC/ha− 1, These findings add to the limited global database on seagrass carbon stocks to support optimization of carbon capture and storage through sustainable global carbon financing regime for vegetated marine ecosystems. The results also contributes to realizing SDG 13 indicator 13.2.2 on reducing the total annual greenhouse gas (GHG) emissions, SDG 14.2 target, namely, “By 2020, sustainably manage and protect marine and coastal ecosystems to avoid significant adverse impacts, including by strengthening their resilience, and take action for their restoration in order to achieve healthy and productive oceans.”
Role of Galectin-3 in diagnosis and severity assessment of epicardial artery lesions in patients with suspected coronary artery disease
Authors: Bošnjak Ivica , Bedeković Dražen , Selthofer-Relatić Kristina , Roguljić Hrvoje , Mihaljević Ivica , Bilić-Ćurčić Ines 
Published: October 2022

Abstract

Background.This study aimed to investigate a possible role of serum galectin-3 (Gal-3) levels in diagnosis and assessment of significant epicardial artery lesions in patients with suspected coronary artery disease (CAD).
Methods. This was a single center retrospective cohort study including 168 subjects with suspected CAD and indications for coronary angiography divided into three groups: percutaneous coronary intervention (PCI) group (N 64), coronary artery bypass graft surgery (CABG) group (N 57), and group with no coronary stenosis (N 47). Gal-3 levels were measured and the syntax score (Ss) was calculated.
Results: The mean value of Gal-3 in the PCI and CABG group was 19.98 ng/ml, while in the control group it was 9.51 ng/ml (t=9.075, p < 0.001). The highest value of Gal-3 was found in the group of subjects with three-vessel disease (t=-3.652b, p<0.001). When subgroups were analyzed by Gal-3 levels (< 17.8 ng/ml low, 18.8-25.9 ng/ml intermediate, > 25 ng/ml high risk) there was a significant difference between at least two Gal-3 groups for the arithmetic mean of Syntax score (IF=13,898, p<0.001). The syntax I’s arithmetic mean at low and intermediate risk Gal-3 levels was significantly lower than at high-risk Gal-3 levels (p<0.001).
Conclusion. Gal-3 could be used as an additional tool for diagnosis and severity assessment of atherosclerotic disease in patients with suspected CAD. Furthermore, it could help identify high risk subjects in patients with stable CAD.
Automated classification of polyps using deep learning architectures and few-shot learning
Authors: Krenzer Adrian , Heil Stefan , Fitting Daniel , Matti Safa , Zoller Wolfram G. , Hann Alexander , Puppe Frank 
Published: October 2022

Abstract
Background: Colorectal cancer is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is a colonoscopy. However, not all colon polyps have the risk of becoming cancerous. Therefore, polyps are classified using different classification systems. After the classification, further treatment and procedures are based on the classification of the polyp. Nevertheless, classification is not easy. Therefore, we suggest two novel automated classifications system assisting gastroenterologists in classifying polyps based on the NICE and Paris classification.
Methods: We build two classification systems. One is classifying polyps based on their shape (Paris). The other classifies polyps based on their texture and surface patterns (NICE). A two-step process for the Paris classification is introduced: First, detecting and cropping the polyp on the image, and secondly, classifying the polyp based on the cropped area with a transformer network. For the NICE classification, we design a few-shot learning algorithm based on the Deep Metric Learning approach. The algorithm creates an embedding space for polyps, which allows classification from a few examples to account for the data scarcity of NICE annotated images in our database.
Results: For the Paris classification, we achieve an accuracy of 89.35 %, surpassing all papers in the literature and establishing a new state-of-the-art and baseline accuracy for other publications on a public data set. For the NICE classification, we achieve a competitive accuracy of 81.13 % and demonstrate thereby the viability of the few-shot learning paradigm in polyp classification in data-scarce environments. Additionally, we show different ablations of the algorithms. Finally, we further elaborate on the explainability of the system by showing heat maps of the neural network explaining neural activations.
Conclusion: Overall we introduce two polyp classification systems to assist gastroenterologists. We achieve state-of-the-art performance in the Paris classification and demonstrate the viability of the few-shot learning paradigm in the NICE classification, addressing the prevalent data scarcity issues faced in medical machine learning.
Prediction model based on radiomics and clinical features for preoperative lymphovascular invasion in patients with gastric cancer with Lauren classification
Authors: Wang Ping , Chen Kaige , Han Ying , Zhao Min , Abiyasi Nanding , Shang Jiming , Yan Shaolei , Peng Haiyong , Shang Naijian , Meng Wei 
Published: October 2022

Abstract
Objective
Lymphovascular invasion (LVI) is an independent risk factor of gastric cancer (GC) prognosis; however, LVI cannot be determined preoperatively. We explored whether a model based on contrast-enhanced computed tomography (CECT) radiomics features combined with clinicopathological factors can evaluate preoperative LVI in patients with GC with a clear Lauren classification.
Methods
We retrospectively analyzed 495 patients with GC, including 288 with LVI. The extracted CECT features were standardized, followed by consistency testing, correlation analysis, univariate analysis, and multivariate least absolute shrinkage and selection operator (LASSO) regression analysis. The radiomics score (Radcore) was calculated for each patient. Univariate (p < 0.10) and multivariate (p < 0.050) analyses were used to identify the clinical risk factors associated with LVI. Accordingly, three prediction models were established: Clinical + Arterial phase_Radcore, Clinical + Venous phase_Radcore, and a combined model. The prediction performances of the models were verified using receiver operating characteristics, decision curve analysis, and calibration curves in the testing dataset. The relationship between Lauren classification and LVI was analyzed using a histogram.
Results
The areas under the curve of the combined model were 0.8629 (95% confidence interval [CI], 0.8247–0.9011) and 0.8343 (95% CI, 0.7673–0.9012) in the training and testing datasets, respectively. The combined model had superior performance compared with the other models. Diffuse-type GC according to the Lauren classification accounted for 43.4% of LVI cases.
Conclusions
CECT-based radiomics models can effectively predict the preoperative LVI status in patients with GC with Lauren classification. The prediction ability of the models was effectively improved by incorporating clinicopathological factors.
Characterization of the life cycle of Dermacentor nuttalli in the Qinghai-Tibetan Plateau under laboratory conditions and identification of spotted fever group Rickettsia
Authors: Ma Hejia , Ai Jingkai , Kang Ming , Li Jixu , Sun Yali 
Published: October 2022

Abstract
Background
Dermacentor nuttalli has been a focus of study because tick-borne pathogens have been widely identified in D. nuttalli in the northern and southwestern China. The salivary glands and midgut of ticks are specific and major barriers to efficient pathogen transmission. The spotted fever group Rickettsia causes tick-borne rickettsiosis, which poses serious threats to the health of humans and animals. Identification of the species of Rickettsia in the midgut and salivary glands of D. nuttalli is essential for understanding the colonization of the pathogens in ticks and for developing effective control strategies for Rickettsia.
Methods
This study collected D. nuttalli in the field on the Qinghai-Tibetan Plateau from March to April 2021 to characterize the D. nuttalli life-cycle under laboratory conditions, and identified SFG Rickettsia in the D. nuttalli midgut and salivary glands of males and females in both original and next-generational adults.
Results
D. nuttalli ticks collected in this area were molecularly confirmed, and exhibited one life cycle of an average of 67.4 days under laboratory conditions. The average weight of engorged females was 656.0 mg, which was 74.5 times the weight of unfed females. Moreover, high colonization rates of Rickettsia spp. were found in both the midgut and salivary glands of both male (92.0%) and female (93.0%) D. nuttalli ticks, anf no positivity being found in single tissue colonization. However, low rates of 4.0–6.0% of Rickettsia spp. colonization in the D. nuttalli midgut and salivary glands were detected. Furthermore, the sequencing analysis showed that the Rickettsia sequences obtained in this study shared 98.6 to 100% nucleotide identity to R. slovaca and R. raoultii isolated from Dermacentor spp. in China. The phylogenetic analysis of Rickettsia spp. based on the gltA, ompA, ompB and sca4 genes revealed that the Rickettsia sequences obtained could be classified into these two groups, R. slovaca and R. raoultii.
Conclusions
This study is the first to identify the life-cycle of collected D. nuttalli in the field in the Qinghai-Tibetan Plateau under laboratory conditions, and to detect the two species of SFG Rickettsia in the midgut and salivary glands of males and females in both original and next-generational D. nuttalli adults. Our study provides new insights into the pathogen colonization in ticks in the Qinghai-Tibet Plateau, and the relationship among hosts, ticks and pathogens.
Fortification of Wheat Bread with Edible Chrysanthemum (Chrysanthemum morifolium Ramat.): Unraveling the Mechanisms of Dough Rheology and Bread Quality Changes
Authors: Xu Huihuang , Wu Min , Shang Nan , Wei Wenguang , Gao Fei 
Published: October 2022

Abstract

The inclusion of plant material in bread formulations is a global trend, but research on the mechanisms of its effect on the structural and baking performance of the dough is lacking. Herein, edible chrysanthemum (Chrysanthemum morifolium Ramat.) powder (CP) was substituted for wheat flour at 3–15 wt% and its effects on dough structure and rheology, bread physicochemical properties, and aroma profile were investigated. The inclusion of CP reduced the relative crystallinity and structure orderliness of starch in terms of X-ray diffraction (XRD) and Fourier transform infrared (FTIR) spectroscopy analysis. Steady-state shear and oscillation tests showed that the inclusion of CP resulted in an enhanced viscoelastic behavior of dough, implying an increase in the resistance of the dough system to flow and deformation, which caused a decrease in specific volume and softness of bread compared to the control (bread without CP). The large oscillatory amplitude oscillation shear tests (LAOS) indicated that doughs exhibited Ⅰ behavior (strain thinning). The scanning electron microscopy (SEM) observation further confirmed these findings. Significantly, formulations with 3 and 6 wt% CP not only improved the rheological and structural properties of doughs but also enriched the aroma profile of bread compared to the control. Furthermore, sensory evaluators reported that bread enriched with 6% CP scored highest in appearance, texture, and overall acceptability, meaning a product with a high sensory appeal to consumers. This work provides valuable information for an in-depth study of the relationship between bread quality and the rheological behavior and structural properties of the dough.
Public Alert and Warning System Literature Review in the USA: Identifying Research Gaps and Lessons for Practice
Authors: Sadiq Abdul-Akeem , Okhai Ratna , Tyler Jenna , Entress Rebecca 
Published: October 2022

Abstract
As emergencies continue to impact communities in the United States on an unprecedented scale, it is imperative for communities to look for effective ways to keep people safe and reduce future impacts. Public alert and warning systems are an effective means of accomplishing these goals. As such, researchers have studied public alert and warning systems extensively in the United States. Due to the plethora of studies on public alert and warning systems, a systematic and comprehensive synthesize is needed to understand what has been studied and their major findings and identify practical lessons that can be used to further improve public alert and warning systems. Hence, the goal of this study is to answer the following two questions: (1) What are the major findings from public alert and warning system research? (2) What policy and practical lessons can be gleaned from public alert and warning system research to improve public alert and warning system research and practice? We answer these questions by conducting a systematic and comprehensive review of the public alert and warning system literature, starting with a keyword search. The search produced 1,737 studies, and we applied six criteria (e.g., the study has to be a peer-reviewed article, dissertation, or conference paper), which narrowed the number of studies to 100. After analyzing the 100 studies, the results reveal 12 emergent themes regarding the major findings from public alert and warning system research. The results also reveal eight emergent themes related to the policy and practical lessons. We then offer recommended topics for future research as well as outline some policy and practical recommendations. We conclude by summarizing the findings and discussing the limitations of the study.
Design a mobile sensor system based on bee colony optimization: modeling and simulation
Authors: Al-Mousawi Ali 
Published: October 2022

Abstract
Mobile Wireless Sensor Networks (MWSN) plays a central role in modern artificial intelligence-based systems, as they corresponds to the part that senses data and equal human senses in their work. The parts responsible for converting the environmental signal into a digital signal are the sensors. The higher the quality of the sensors, the greater the readability. Because of this fame, the wireless sensor network has become a research field for a lot of research that has worked to develop both the work and performance of wireless sensor networks through the use of artificial intelligence algorithms. This research paper discusses the effect of using beehive algorithms, which is one of the swarm intelligence algorithms within natural computing. This paper discusses the process of creating a three-dimensional simulation model to simulate the MWSN system based on BCO, as well as a simulation model for the network itself. The simulation was tested for the new system and the communication performance of MWSN was improved by adding AI to the working principle of each component of the system. The simulation results were compared with similar protocols to show the extent of the impact of the BCO algorithm on the overall performance of the network. It was found that the use of the BCO algorithm gives MWSN more efficiency in many ways, depending on the indicators of the efficiency of wireless networks. The model was named IAANET for short, which means Intelligent Aerial Ad-hoc Network because the aerial components within MWSN is the optimization target.
Exploring the Effects of Potentization by Electron Microscopy, Raman Spectroscopy and AI Algorithms
Authors: Berghian-Grosan Camelia , Kourounis Drosos , Porav Alin Sebastian , Dag Ilknur , Ay Kursad Osman , Vithoulkas George 
Published: October 2022

AbstractPotentization is a process of successive dilutions and vigorous succussions of a substance or initial tincture. Transmission electron microscopy is adopted for the investigation of potentized ethanol- and water-based solutions of gold and reveals nanoparticles and various assemblies formed in accordance with the level of potentization. Raman spectroscopy is further applied in combination with artificial intelligence algorithms for the analysis of potentized purified water, unpurified water, and purified water-based gold solutions. The proposed methodology is promising and sound in distinguishing potentized and non-potentized spectra or spectra obtained at different levels of potentization.