bluuebunny/crossref_metadata_2025_split huggingface dataset:
Independent Acquisition of Carnassial Teeth in Fishes and Mammals
Authors: Matsui Kumiko , Kimura Yuri 
Published: November 2021

Abstract
Vertebrates evolved tooth replacement over 400 million years ago. Over 200 million years later, the combination of vertical tooth replacement with thecodont implantation (teeth in bone sockets) has been considered a key morphological innovation in mammal evolution. We discovered that an extinct fish taxon, Serrasalmimus secans, that shows this same innovation in a lineage (Serrasalmimidae) that survived the end Cretaceous mass extinction. Carnassial teeth are known in both mammals and pycnodont fish, but these teeth do not share the same tissues nor developmental processes. Therefore, a serrasalmimid pycnodont fish independently acquired mammal-like tooth replacement and implantation, thus showing that fishes and mammals evolved convergent carnassial dental morphologies at about the same time, around 60 Ma, in separate ecosystems.
Effects of Different Probiotic Strains B. Lactis, L. Rhamnosus and L. Reuteri on Brain-Intestinal Axis Immunomodulation in an Endotoxin-Induced Inflammation
Authors: Michels Monique , Jesus Gabriel Fernandes Alves , Abatti Mariane Rocha , Córneo Emily , Cucker Luana , Borges Heloisa de Medeiros , Matos Natan da Silva , Rocha Luana Bezerra , Dias Rodrigo , Simon Carla Sasso , Voytena Ana Paula Lorenzen , Rossetto Marina , Ramlov Fernanda , Dal-Pizzol Felipe 
Published: November 2021

Abstract
Aim: The study evaluated the effects of supplementation with three different probiotic strains B. lactis (LACT GBTM), L. rhamnosus (RHAM GBTM) and L. reuteri (REUT GBTM) on brain-intestinal immunomodulation in an animal model of LPS-induced inflammation. Methods: 50 mice Balb/C were distributed into five groups: Control; lipopolysaccharide (LPS); LPS + B. lactis (LACT GBTM); LPS + L. rhamnosus (RHAM GBTM); LPS + L. reuteri (REUT GBTM). The animals were supplemented with their respective probiotic microorganisms daily, for 30 days, at a concentration of 1x109 CFU/animal/day. After 30 days of supplementation, animals received the inflammatory insult by LPS (15mg/kg). Behavioral tests, oxidative stress and inflammation were performed, as well as gut and brain histology. Results: In the behavioral test, LPS+ B. lactis group was less anxious than the other groups. Serum interleukin IL-1β and IL-6 levels increased in all groups that received the LPS insult and there was a reduction in inflammation in the supplemented groups when compared to the LPS group in brain and gut. A reduction in myeloperoxidase activity and oxidative stress in groups supplemented with probiotics. Intestine histological analysis, damage to tissue integrity in the LPS group and preservation of integrity in the supplemented animals. In the brain, infiltrates of perivascular inflammatory cells can be seen in the LPS group. Conclusion: The three probiotic studies showed efficient immunomodulating activity and ensured integrity of the intestinal barrier function, even after the severe insult by LPS. These results show the important role of probiotics in the gut-brain axis.
Early Detection of Alzheimer’s Disease Using Neuropsychological Tests: a Predict-Diagnose Approach Using Neural Networks
Authors: Mukherji Devarshi , Mukherji Manibrata , Mukherji Nivedita 
Published: November 2021

Abstract
Alzheimer’s Disease (AD) is the most expensive and currently incurable disease that affects a large number of the elderly globally. One in five Medicare dollars is spent on AD-related tests and treatments. Accurate AD diagnosis is critical but often involves invasive and expensive tests that include brain scans and spinal taps. Recommending these tests for only patients who are likely to develop the disease will save families of cognitively normal individuals and hospitals from unnecessary expenditures. Moreover, many of the subjects chosen for clinical trials for AD therapies never develop any cognitive impairment and prove not to be ideal candidates for those trials. It is thereby critical to find inexpensive ways to first identify individuals who are likely to develop cognitive impairment and focus attention on them for in-depth testing, diagnosing, and clinical trial participation. Research shows that AD is a slowly progressing disease. This slow progression allows for early detection and treatment, but more importantly, gives the opportunity to predict the likelihood of disease development from early indications of memory lapses. Neuropsychological tests have been shown to be effective in identifying cognitive impairment. Relying exclusively on a set of longitudinal neuropsychological test data available from the ADNI database, this paper has developed Recurrent Neural Network (RNN) models to predict future neuropsychological test results and Multi-Level Perceptron (MLP) models to diagnose the future cognitive states of individuals based on those predicted results. The RNNs use sequence prediction techniques to predict test scores for two to four years in the future. The predicted scores and predictions of cognitive states based on them showed a high level of accuracy for a group of test subjects, when compared with their known future cognitive assessments conducted by ADNI. This shows that a battery of neuropsychological tests can be used to track the cognitive states of people above a certain age and identify those who are likely to develop cognitive impairment in the future. This ability to triage individuals into those who are likely to remain normal and those who will develop cognitive impairment in the future, advances the quest to find appropriate candidates for invasive tests like spinal taps for disease identification, and the ability to identify suitable candidates for clinical trials.
The Impact Of Waist Circumference And Diabetes On Incident Of Cardiovascular Death During 9 Years Of Follow Up In General Population
Authors: Li Man , Wang Shu-xia , Su Yong-kang , Sun Jin , Zhang An-hang , Cheng Bo-kai , Cai Shuang , Zhu Ping 
Published: November 2021

Abstract
Background: It has been reported that obesity and diabetes are both the risk factors for the development of cardiovascular diseases (CVD). However, recent articles reported that compared with BMI, waist circumference (WC) can better reflect obesity, more closely related to visceral fat tissue which is positively associated with an increased risk of cardiovascular death. Moreover, few studies have both investigated the prognostic value of both WC and diabetes during a long-term follow up. We aimed to investigate whether higher level of WC measurements and diabetes were able to predict cardiovascular mortality in general population.Methods: In this prospective cohort study, a total of 1521 consecutive subjects free of clinical cardiovascular disease were included. The end point was cardiovascular death. The Kaplan-Meier method and Cox regression models were used to evaluate the cumulative risk of outcome at different WC levels with or without diabetes.Results: During a median follow up of 9.2 years, there were 265 patients had the occurrence of cardiovascular death. Kaplan-Meier survival estimates indicated that the patients with higher levels of WC (WC>94cm) coexist with diabetes had significantly increased risk of cardiovascular death (log-rank p＜0.05). After adjustment for potential confounders, multiple COX regression models showed that the incidence of cardiovascular death was significantly higher when patients with high WC coexisted with DM (HR 3.78; 95% CI: 3.35–3.98; p＜0.001).Conclusion: Patients with high WC and diabetes represent a high-risk population for cardiovascular death. WC and diabetes may provide incremental prognostic value beyond traditional risks factors.
Prevalence of and factors associated with non-communicable diseases among Bangladeshi adults: investigation from nationally surveyed data
Authors: Rahman Md. Ashfikur , Halder Henry Ratul , Kundu Satyajit , Banna Md. Hasan Al 
Published: November 2021

Abstract
Background

Chronic non-communicable diseases, owing to their increasing prevalence, are the greatest constraint to disease burden reduction in Bangladesh. As a result, we concentrated on determining the prevalence and risk factors for major chronic non-communicable diseases (NCDs) among adult Bangladeshis.
Methods

Data from Bangladesh Demographic and Health Survey (BDHS) 2017-18 were analyzed. If a participant had diabetes or hypertension, it was classified as NCD. Whereas comorbidity is defined as a subject having both diabetes and hypertension. Both the unadjusted and adjusted log-binomial regression models considering the survey weights were employed to identify the factors associated with NCDs and comorbidity.
Results

The overall prevalence (age-adjusted) of NCDs (40.43% (95% CI: 40.29-40.56) diabetes and hypertension was 11.55% (95% CI: 11.46-11.64) and 35.04% (95% CI: 34.91-35.17), respectively, while 6.16% (95% CI: 6.09-6.23) of participants had comorbidity. The adjusted regression model shows that being aged >34 years, and overweight or obese were significant risk factors of all NCDs, where being involved in work and from rich households were found as risk factors of diabetes and comorbidity. Smoker participants and females were more likely to have hypertension compared to their counterparts. Contrary, being underweight was a protective factor of having NCDs, similarly, engage in work was found as protective factors of diabetes and co-morbidity.
Conclusion

A growing prevalence of diabetes, hypertension, and comorbidity was discovered in this study. To reduce the burden of these NCDs, it is necessary to take the necessary steps.
Bioinformatics Analysis of Apolipoprotein H Demonstrates Its Potential as a Prognostic Biomarker in Kidney Renal Clear Cell Carcinoma
Authors: Wang Peng , Zhao Guan-an 
Published: November 2021

Abstract
Objectives This study aimed to systematically reveal the clinical value of APOH in KIRC.Methods The expression of APOH and its methylation level in KIRC were explored. Also, the prognostic value of APOH was evaluated. In addition, the correlation of APOH and immune infiltrates in KIRC was analyzed. Finally, enrichment analysis was performed to predict the APOH-associated pathways in KIRC.Results Compared with the normal group, APOH was down-regulated in KIRC both in mRNA and protein levels. The APOH expression was related to several phenotypes of KIRC patients. Kaplan-Meier analysis showed that APOH high expression correlated with shorter OS, PFI, and DSS time. Cox regression only indicated the independent prognostic impact of APOH for PFI. ROC curve showed the better prediction performance of APOH for PFI and nomogram further revealed its contribution to survival probability. Additionally, a negative correlation between APOH expression and methylation was observed, and APOH methylation did not influence the prognosis of patients. In addition, both expression and methylation of APOH were related to immune infiltrates, suggesting the importance of immune infiltrates in KIRC. Finally, the KEGG and GSEA analyses indicated a positive relationship of APOH with Complement and coagulation cascades pathways in KIRC.Conclusions APOH was closely related to the prognosis of KIRC patients and might be involved in the Complement and coagulation cascades pathway, implying the involvement of APOH in tumorigenesis and metastasis of KIRC.
Heterogenous Profiles Between Matched Primary Tumors and Brain Metastases Reveal Tumor Evolution
Authors: Chen Yanming , Dai Xiaoxiao , Wang Ji , Tao Chuming , Wang Ye , Zhu Qing , Yuan Liqun , Wang Zhongyong , Sheng Minfeng , Zhang Tan , Li Shenggang , Zhang Yongsheng , Dong Jun , Lan Qing , Zhao Jizong 
Published: November 2021

Abstract
Background: Brain metastases (BMs) are the most common central nervous system (CNS) malignant tumors, with rapid disease progression and extremely poor prognosis. The heterogeneity between primary tumors and BMs leads to the divergent efficacy of the adjuvant therapy response to primary tumors and BMs. However, the extent of heterogeneity between primary tumors and BMs, and the evolutionary process remains little known. Methods: To deeply insight the extent of inter-tumor heterogeneity at single-patient level and the process of these evolutions, we retrospectively analyzed a total of 26 tumor samples from 11 patients with matched primary tumors and BMs. One patient underwent four times brain metastatic lesion surgery with diverse locations and one operation for the primary lesion. The genomic and immune heterogeneity between primary tumors and BMs was evaluated by utilizing the whole-exome sequencing (WESeq) and immunohistochemical analysis.Results: In addition to inheriting genomic phenotype and molecular phenotype from the primary tumors, massive unique genomic phenotype and molecular phenotype were also observed in BMs, which revealed unimaginable complexity of tumor evolution and extensive heterogeneity among lesions at single-patient level. Our study also verified that the expression level of immune checkpoints-related molecule Programmed Death-Ligand 1 (PD-L1) (P = 0.0013) and the density of tumor-infiltrating lymphocytes (TILs) (P = 0.0248) in BMs were significantly lower than that in paired primary tumors. Additionally, tumor microvascular density (MVD) and tumor invasiveness were also differed between primary tumors and paired BMs, indicating that temporal and spatial diversity profoundly contributes to the evolution of BMs heterogeneity.Conclusion: We verified the significance of temporal and spatial factors to the evolution of tumor heterogeneity by multi-dimensional analysis of matched primary tumors and BMs, which also provided novel insight for formulating individualized treatment strategies of BMs.
A System Biology Approach to Explore Host-Pathogen Interaction Under Phytochemical Cross Linkages
Authors: Yousaf Muhammad Junaid , Hussain Anwar , Iqbal Amjad 
Published: November 2021

Abstract
Phyto-signalling molecules are minute, but tangible that has rigorous roles in any plant-pathogen interaction. Certainly, most of the pathogen alters their biosynthesis, transport, degradation and cellular signalling responses to pave their virulence. Therefore, the gene expressions of such molecules with their correlated defense mechanisms were analysed in Arabidopsis thaliana against Erysiphe orontii (a potential biotroph), Botrytis cinerea (a potential necrotroph), Pseudomonas syringae (a bacterial hemibiotroph), and Phytophthora infestans (a fungal hemibiotroph) using molecular biology/ system biology techniques. The findings strongly suggested that each pathogen has its own unique infection strategy based on up-regulation and down-regulation of host phyto-signalling genes. Our studies also explored four basic pathogenic infection maps based on cross linking phyto-signalling molecules.
Assessing the Potential Impact of Immunity Waning on the Dynamics of COVID-19: An Endemic Model of COVID-19
Authors: RABIU MUSA , Iyaniwura Sarafa A. 
Published: November 2021

Abstract
We developed an endemic model of COVID-19 to assess the impact of vaccination and immunity waning on the dynamics of the disease. Our model exhibits the phenomenon of backward bifurcation and bi-stability, where a stable disease-free equilibrium co-exists with a stable endemic equilibrium. The epidemiological implication of this is that the control reproduction number being less than unity is no longer sufficient to guarantee disease eradication. We showed that this phenomenon could be eliminated by either increasing the vaccine efficacy or by reducing the disease transmission rate (adhering to non-pharmaceutical interventions). Furthermore, we numerically investigated the impacts of vaccination and waning of both vaccine-induced immunity and post-recovery immunity on the disease dynamics. Our simulation results show that the waning of vaccine-induced immunity has more effect on the disease dynamics relative to post-recovery immunity waning, and suggests that more emphasis should be on reducing the waning of vaccine-induced immunity to eradicate COVID-19.
Prevalence and Phylogenetic Analysis of Babesia Parasites in Reservoir Host Species in Fujian Province, Southeast China
Authors: Zeng Zhiwei , Zhou Shuheng , Xu Guoying , Liu Weijun , Han Tengwei , Liu Jing , Wang Jiaxiong , Deng Yanqin , Xiao Fangzhen 
Published: November 2021

Abstract
Background: Babesiosis is a tick-borne disease that mainly affects small mammals and it has been reported in at least five provinces in China. However, the host range and geographical distribution of the parasite in Fujian Province are unclear. Therefore, this study aimed to investigate the prevalence and genetic characteristics of Babesia in Fujian Province, Southeast China, between 2015 and 2020.Methods: Rodent blood samples were collected from 26 different surveillance sites across Fujian Province. Genomic DNA was extracted to screen for Babesia infection using polymerase chain reaction (PCR) amplification, based on 18S rRNA. DNA samples from 316 domestic goats, 85 water buffalo, 56 domestic dogs, and 18 domestic pigs were examined. The prevalence of Babesia was statistically analyzed using the Chi-square test or Fisher’s exact test. A phylogenetic tree was constructed using MEGA 5.0 by gene sequence alignment.Results: Babesia infections were found in 3.96% (43/1,087) of rodents and 1.26% (6/475) of other mammals. Multivariate logistic regression analysis revealed that irrigated cropland, shrubs, and forests were risk factors for Babesia microti infections. The infection rates among domestic pigs, dogs, and goats were found to be 5.56%, 1.79%, and 1.27%, respectively, and no infection was found in water buffalo. Sequencing (18S rRNA gene) revealed that rodents were infected with Babesia (sensu lato) while other mammals were infected with Babesia (sensu stricto).Conclusions: The results indicate that there is wide geographical distribution and phylogenetic relationship of Babesia in Southeast China. This study suggests that mammals, especially wild rodents, are the main natural hosts of Babesia in Fujian. Our findings provide a solid foundation for public health officials to develop Babesia prevention and control measures.
Innovative Methodology for the Synthesis of CoFe2O4 Encapsulated La2Fe2O6 Nanoparticles for their Use in Various Applications.
Authors: Ateia Ebtesam. E. , Mohamed Amira. T. 
Published: November 2021

Abstract
It would be helpful to achieve appropriate synthetic routes to attain larger-scale production at industrial levels of nanocomposites at low costs. In the present work, diphasic composites with core-shell nanostructures formed by La2Fe2O6/CoFe2O4 are investigated. The core-shell structure is fabricated via different preparation methods. The advantages and the demerits of the synthesis techniques are discussed. The presence of both the spinel CoFe2O4 nano ferrite and orthorhombic La2Fe2O6 perovskite phases is revealed by X-ray diffraction (XRD). XPS spectroscopy is utilized to investigate the chemical composition of the prepared samples. The hysteresis loops of the prepared samples exhibit a smooth loop that is resulted from the existence of two homogeneous magnetic phases. For the first time, it has been found that the preparation conditions have the advantage of reducing the switching field distribution (SFD) value for the core- shell nanoparticles. Exchange coupled core–shell nanoparticles present a high potential to regulate the magnetic properties for numerous applications such as heavy metal removal and/or data storage devices. The maximum adsorption capacity (qm) of Cr III on the core-shell (S3) is higher compared to other adsorbents previously testified in the literature. The cost-effective and eco-friendly prepared core-shell samples with good metal removal capacity have great potential for commercialization.
Urban Biodiversity in Pre- and Post-Social Isolation Times: A Case Study of the Public Squares on the City of Sorocaba, SP, Brazil
Authors: de Camargo Julia Fernanda , Silva Fabio Leandro da , Smith Welber Senteio 
Published: November 2021

Abstract
The environmental range has long been neglected. Species that play crucial roles for the good functioning of the planet have their activities jeopardized by human ignorance, but the emergence of a zoonotic disease (COVID-19) in December 2019 turned attention to an atypical fact: previously uncommon animals seen in urban environment began to frequent them looking for resources, this is due to the measures of confinement, distance and social isolation adopted in order to contain the spread of the virus. In this work, public squares located in the city of Sorocaba, inlands of São Paulo, were studied, regarding the richness of species, bioindicator groups (birds, butterflies and dragonflies) in three different periods: before the social isolation system coming into effect, during and after it, to analyze whether such measures had an influence on urban biodiversity. The Sorensen and Cluster (Jaccard estimator) analytics methods, Non-metric Multidimensional Scaling (nMDS) and One-Way ANOVA variance analysis showed that, with the reclusion of the citizens, there were no significant difference in species abundance in the sampled locations during the three periods, but the lockdown was marked by the illustrious presence of a rare species butterfly (Greta oto [Hewitson 1854]), unregistered in previous surveys carried out in the municipality. It could be concluded that, although the functioning of urban ecosystems is intrinsically linked to human presence, the sudden decrease in the circulation of people and vehicles has had positive consequences for the environment richness inserted in cities.
Convex Fuzzy Cones of Hypervector Spaces
Authors: Dehghan OmidReza , ameri reza 
Published: November 2021

Abstract
The aim of this paper is to study some main
properties of convex fuzzy cones of hypervector spaces.
In this regard, a characterization of fuzzy subhyperspaces is presented based on ordinary subhyperspaces.
Also the convex cone spanned by non-empty subsets of
real hypervector spaces is obtained. Moreover, by introducing the notion of fuzzy cone, the smallest fuzzy
subhyperspace of V containing µ and the largest fuzzy
subhyperspace of V contained in µ is achieved, for a
convex fuzzy cone µ of real hypervector space V .
Microwaves: a Novel Approach to SARS-CoV-2 Genome Extraction
Authors: Álvarez-Argüelles Marta Elena , Rojo-Alba Susana , Martin Gabriel , Pérez-Martínez Zulema , Castelló-Abietar Cristian , Boga Jose Antonio , Melón Santiago 
Published: November 2021

Abstract
On this study an innovative approach to the heat extraction has been tested: the use of microwaves, which can decrease dramatically the time needed to do the genome extraction. The method can obtain the virus with enough quality to assure the identification by q(RT)-PCR and minimize procedures and contaminations.