bluuebunny/crossref_metadata_2025 huggingface dataset:
Mapping of the superficial lymphatic network of the breast using indocyanine green injection: an anatomical study
Authors: CLAUDIC Yannis , PERRUISSEAU-CARRIER Anne , DEMARTELEIRE Charlie , HU Weiguo , SEIZEUR Romuald
Published: November 2022

Purpose
Indocyanine green (ICG) is a fluorophore that allows exploration of the arterial and lymphatic network. The superficial lymphatic network of the breast is particularly vulnerable in breast augmentation surgery. The intraoperative use of ICG could help the plastic surgeon during breast augmentation surgery. The aim of this work is to demonstrate the feasibility of mapping the superficial breast lymphatic network using ICG.
Methods
This is an anatomical study. A peri-areolar injection of indocyanine green was performed on cadaveric subjects. At the end, a mapping of their spatial distribution was carried out according to four quadrants, delimited by two perpendicular lines passing by the areola.
Results
We performed 60 breast injections. The lymphatic network could be identified in 53 of them. A total of 80 vessels were found in the superior-external quadrant, 17 in the superior-internal quadrant, 28 in the inferior-external quadrant and 0 in the inferior-internal quadrant.
Conclusion
This work shows that indocyanine green allows the identification of the superficial lymphatic network of the breast. Its use could represent an intraoperative assistance in breast augmentation surgery. This work also confirms the existing anatomical notions with a predominance of the axillary drainage route.
The Role Telegram Application for Information Sharing in the Case of Online Ge’ez Language Learning
Authors: Yenesew Selomon
Published: November 2022

Telegram is one of the application, which used for learning language in the online. The current study was aimed investigate how online learning resources facilitate information sharing for Ge’ez language learning. The study was followed the quantitative research strategy conducted a telegram channels created between 2017 and 2021. The data were collected via a searching of telegram channels in the online, particularly, created in Ge’ez language learning user names. The subscribers and the channels number were presented using frequency and percentage. The correlations between subscribers with other factors were analyzed using SPSS. The introducing of Ge’ez language learning in the telegram application was started in Dec 2017. Thirty-one telegram channels with 85970 subscribers’ channels have been providing Ge’ez language in the online. In the telegram channel Basic to advanced Ge’ez language Learning were available. In 2020, maximum telegram channels were created with its correspondent followers. The trends line of telegram channel between 2017 and 2020 were increasing trends and deceasing in 2021. The number of subscribers and shared link positively and highly correlated each other. Telegram application plays a vital role in Ge’ez language learning via sharing a vast amount of material that facilitate Ge’ez language learning in the online.
The immune landscape in SSc-ILD and tow genes are potential risk factors for pulmonary fibrosis
Authors: Yang Beibei , Rui Hongbing , Xue Juan , Liu Jizan , Xiao Hua
Published: November 2022

Background
Interstitial lung disease (ILD) is the most common cause of death in patients with systemic sclerosis (SSc-ILD) and immune cells are crucial in the onset and development of ILD. The aim of this study was to compare the molecular fingerprint of lung tissue from patients with SSc-ILD with that of lung tissue from normal donors, and to determine the immune landscape according to their gene expression profiles.
Methods
Two gene expression omnibus (GEO) datasets were merged as a test set, and another dataset was selected as the validation set. Lung biopsies and alveolar macrophages from 2 SSc-ILD patients and 2 healthy controls were obtained for further validation. Machine-learning algorithms were used to filter and identify potential diagnostic biomarkers of SSc-ILD in the test set. These biomarkers were examined in a validation dataset and further validated by quantitative real-time PCR and western blotting. CIBERSORT was used to quantify the proportions of immune cells in lung samples from SSc-ILD patients and healthy controls. The link between potential biomarkers and immune infiltration cells was established using a logistic regression approach.
Results
CDH3 upregulated and TNFAIP3 downregulated in SSc-ILD, and their encoded proteins (Cadherin 3 and TNFAIP3, respectively) also showed the same trend of changes. TNFAIP3 protein in alveolar macrophages derived from the alveolar lavage fluid of patients with SSc-ILD was decreased too. The proportion of M2 macrophages in SSc-ILD was significantly higher. TNFAIP3 was negatively correlated with M2 macrophages. CDH3 was positively correlated with plasma cells, M0 macrophages, and resting mast cells, and negatively correlated with M1 macrophages, resting NK cells, activated mast cells, eosinophils, and monocytes.
Conclusions
TNFAIP3 and CDH3 are two potential factors for pulmonary fibrosis. In particular, the lower expression of TNFAIP3 in alveolar macrophages of SSc-ILD patients may be linked to the maintenance of the profibrotic phenotype of macrophages. This research offers a fresh viewpoint on how SSc-ILD manifests itself at the transcriptomic and immune cell level, and may be useful in future therapeutic strategies.
A numerical method for space-time fractional advection-reaction-diffusion problems with generalized Caputo-type derivative
Authors: Heydari M. H. , Razzaghi M.
Published: November 2022

In this study, the generalized Caputo-type fractional derivative is applied to construct a family of fractional advection-reaction-diffusion equations. The orthonormal discrete Chebyshev polynomials are considered to construct a computational method for these equations. The proposed method uses the approximation of the unknown solution by these polynomials and it employs the fractional derivative of these polynomials (which is obtained in this study) along with the collocation method to derive an algebraic system of equations. A smooth solution in terms of the mentioned polynomials is obtained for the introduced fractional problem by solving this system. The implementation and numerical simulations of the method are very simple. Three test problems have been studied to investigate the numerical accuracy of the method.
Impact of energy expenditure on zinc intake in healthy adults
Authors: Guimarães Rafael , Andrade Flavia Cristina Drumond , Donadio Janaina L S , Cozzolino Silvia M F , Rocha Aline dos Santos , Salles Cristina
Published: November 2022

The Institute of Medicine provides references of daily nutrient intake stratified by age and gender groups, considering that the basal metabolic rate varies according to these aspects. In this context, this study aimed to evaluate the recommendation of zinc in healthy adults according to the energy expenditure. The study database "Influence of Gender and SNPs in GPX1 Gene on Biomarkers of Selenium Status in Healthy Brazilians" was used, which collected information from 116 apparently healthy adults recruited in São Paulo. The mean age of the sample was 28.7 ± 7.2 years and the mean for zinc intake was 7.63 ± 3.32 mg, with a statistically significant correlation observed between energy expenditure and zinc intake (R = 0.321; p = 0.004). No linear correlation was found between age and energy expenditure and the difference between sex was not statistically significant.
Conclusion: The metabolic rate can be considered as a reference variable for the recommendation of the daily intake of the nutrient, aiming to avoid deficiencies and food poisoning because of its poor intake.
Food, Cooking and Potteries: A Preliminary Study on the Social Developments of the Neolithic Mijiaya Site in Guanzhong Area, China
Authors: Qu Yating , Zhu Junxiao , Yang Han , Zhou Longlong
Published: November 2022

The origins of agriculture and pottery were generally believed to contribute to the changes of human food resources and the innovations of cooking technologies in the Neolithic China. Hence, the investigations of the co-evolutions in human food resources, cooking technologies and pottery functions will provide a new perspective for understanding the ancient social developments. Here, taking the Mijiaya site as an example, we present the multiple analyses on the plant microfossils of pottery remains, the AMS14C dating and isotopes of animal bones, and the types and textures of potteries in comparison with those from some surrounding sites in northern China during the Late Neolithic period. The results indicate that the diets of Mijiaya peoples (ca. 3093‒1961 cal BC) were heavily reliant on the diversified crops and livestock supplemented with some gathering plants and hunting animals; meanwhile, Mijiaya peoples used a variety of ways to refine the pottery functions for the complex food processing. Moreover, the food processing also potentially promoted the development in animal husbandry, basing on their feeding strategy and eating patterns. These preliminarily suggest that the coordinated development in the food, cooking and potteries had contributed to the social complexity in the Late Neolithic China.
Lifetime Extension of the High Voltage Asynchronous Machine in Relation to the Voltage Endurance Test
Authors: Brajović Dragan , Jokanović Bojan , Bebić Milan , Kartalović Nenad , Nikezic Dušan
Published: November 2022

The aim of the study is to achieve a simple, reliable and significant lifetime extension of the high voltage asynchronous machine in relation to the voltage endurance test. In order to achieve this goal, the focus was on achieving a longer-lasting and more stable insulation of the stator package of an asynchronous machine. Longer-lasting and more stable insulation of a stator is achieved by reinforcing the weak points on its prefabricated multiturn coils. These reinforcements were performed with standard insulating materials that are used for the production of the prefabricated multiturn coils (because of the fact that there is no data regarding the long-term behavior of new materials that show some better properties in laboratories, but only during short-term tests). With such reinforced weak spots on the basis of prefabricated models, they were made by the classical procedure with the use of standardized tools. In order to track the effects of the improvement of the insulation characteristics of a stator, an algorithm was developed based on the law of the increasing probability and on the determination of lifetime curves to the voltage endurance test. The lifetime curves were determined by the method of increasing voltage with the transformation of the obtained results to the corresponding results by the constant voltage method. The applied algorithm that was formed for the purpose of this study, had been verified with statistical reliability of 95 %. The combined measurement uncertainty of the measurement procedure was about 5 %.
There’s Some Whores In This House: An Examination of Female Sexuality in R&B/Hip Hop and Pop Music, 1991–2021
Authors: Griffin Marybec , Fournet Adele , Zhai Angela , Mascary Dianney
Published: November 2022

Sexually explicit lyrics are more often expressed by male artists; however, sexually explicit lyrics created by female artists attract greater media interest. During the past thirty years, female-created lyrics about their sexuality have become increasingly more common and may serve as a ‘pink’-print used by adolescent and young women to construct their sexual identity. This study examines female sexuality as expressed in the lyrics of R&B/Hip Hop and Pop music by female artists between 1991–2021. These messages are marked by duality of female sexuality: respectability of the ‘good’ girl and expressing themselves as sexual beings with sexual desire.
Human Randomized Controlled Trail Clinical and Biochemical Evaluation Oral Irrigator Effectiveness in Patients Under Orthodontic Treatment
Authors: Şahin Esma , Cetinkaya Burcu Ozkan , Avci Bahattin , Kurt-Bayrakdar Sevda , Elekdag-Turk Selma
Published: November 2022

Objective

The aim of this study is to compare the effectiveness of oral irrigator (OI) with interdental brush (IB) clinically and biochemically in orthodontic patients.

Materials and Methods

Thirty patients were randomly divided into two equal groups; patients using OI in addition to manuel brushing (OI-group), patients using IB in addition to manual brushing (IB-group). The data was collected in the baseline, 2nd, 4th and 8th weeks. Periodontal indexes were recorded clinically and interleukin (IL)-1β, IL-10, matrix metalloproteinase (MMP)-1, MMP-8 levels in gingival crevicular fluid were evaluated biochemically.

Results

The gingival index and bleeding on probing values at the 8th week and plaque index values at the 2nd, 4th and 8th weeks were found to be statistically lower in the OI-group compared to IB-group. IL-1β total and concentration values at the 2nd week, MMP-8 total and concentration values at the 4th and 8th weeks were statistically lower in the OI-group compared to IB-group. There were no significant differences in MMP-1 and IL-10 total and concentration values between the groups at any time interval of the study.

Conclusions

The result of our study showed that usage of oral irrigator in addition to toothbrush appears to be as effective as interdental brush in patients under orthodontic treatment.

Clinical Revelance

There is limited information about OI’s using in orthodontic patients. The results of this study showed that oral irrigators can be used as an alternative oral care device for the interdental cleaning (NCT05562986).
Rare Earth Metallosis: Gadolinium-rich Nanoparticle Formation from Magnetic Resonance Imaging Contrast Agents in Rodent and Human Kidney
Authors: Wagner Brent , DeAguero Joshua , Howard Tamara , Kusewitt Donna , Brearley Adrian , Ali Abdul , Degnan James , Jett Stephen , Watt John , Escobar G. , Dokladny Karol
Published: November 2022

The leitmotifs of magnetic resonance imaging (MRI) contrast agent-induced complications range from acute kidney injury, symptoms associated with gadolinium exposure (SAGE)/gadolinium deposition disease, potentially gadolinium encephalopathy, and irreversible systemic fibrosis. Gadolinium is the active ingredient of these contrast agents, a non-physiologic lanthanide metal. The mechanisms of MRI contrast agent-induced diseases are unknown. Mice were treated with a MRI contrast agent. Human kidney tissues from contrast-naïve and MRI contrast agent-treated patients were obtained and analyzed. Kidneys (human and mouse) were assessed with transmission electron microscopy and scanning transmission electron microscopy with x-ray energy-dispersive spectroscopy (XEDS). MRI contrast agent treatment resulted in unilamellar vesicles and mitochondriopathy in renal epithelium. Electron-dense intracellular precipitates and the outer rim of lipid droplets were rich in gadolinium and phosphorus. We conclude that MRI contrast agents are not physiologically inert. The long-term safety of these synthetic organometallic compounds, especially with repeated use, should be studied further.
U-SegNet with Parallel Pooling Attention for Crop Pest Detection
Authors: Zhang Shanwen , Huang Wenzhun , Wang Zhen , Wang Harry Haoxiang
Published: November 2022

Crop pests seriously affect the yield and quality of crops. Early pest detection is the premise and basis of scientific pest control in modern intelligent agriculture. However, due to the small size, and irregular shapes, postures, colors and appearances of pests in the field, the detection of pests is always a challenging problem. To solve the problems of the traditional pest detection methods, such as low identification accuracy and vulnerability to orientation, shape, illumination and complex background, a modified U-SegNet model with parallel pooling attention (U-SegNet-PPA) is proposed for pest detection. It is a symmetric hybrid architecture consisting of U-Net, SegNet and parallel pooling attention (PPA), where skip connection and incorporates ﬁne multi-scale feature are used to describe the pixels and boundary of the pest images, and PPA is added into U-SegNet to capture the compositional semantic features of the pest image. Comparing with fully convolutional network (FCN), U-Net, SegNet and U-SegNet, it has some advantages of fast training speed and few model parameters, and attention mechanism and data augmentation are utilized to greatly improve the performance of pest detection in field. The experimental results on our newly collected crop pest image dataset show that the proposed approach performs better than other state-of-the-art methods. It can provide a valuable support for the detection, identiﬁcation and severity estimation of crop pests.
COVID-19 transmission risk in Surabaya and Sidoarjo: An inhomogeneous marked Poisson point process approach
Authors: Choiruddin Achmad , Hannanu Firdaus Fabrice , Mateu Jorge , Fitriyanah Vanda
Published: November 2022

Understanding the spatio-temporal dynamics of COVID-19 transmission is necessary to plan better strategies for controlling the spread of the disease. However, only a few studies explore the COVID-19 transmission risk over a fine spatial resolution while considering relevant spatial and temporal factors. To this aim, we consider an inhomogeneous marked Poisson point process model to assess COVID-19 transmission risk using data of home addresses of confirmed cases, in relation to locations of sources of crowd (enterprise, market, and place of worship) and population density in Surabaya and Sidoarjo, Indonesia. Our marked model is able to analyze how the spatial covariates are varying with time, helping authorities to evaluate the information of covariates depending on the period in which restrictions are taking place. Our results show that enterprise, place of worship, and population densities have significant impact to the transmission risk in Surabaya and Sidoarjo. We finally provide predicted risk maps which provide additional information based on the demographic-based risk analysis to help conduct more efficient testing, tracing, and vaccination programs.
Mast cells activation mediates blood-brain barrier impairment and cognitive dysfunction of septic mice in a histamine dependent pathway
Authors: Yue Jianhe , Tan Ying , Huan Renzheng , Guo Jin , Yang Sha , Deng Mei , Xiong Yunbiao , Han Guoqiang , Liu Lin , Liu Jian , Cheng Yuan , Zha Yan , Zhang Jiqin
Published: November 2022

Background: Sepsis-associated encephalopathy (SAE) is a diffuse cerebral dysfunction resulting from a systemic inflammatory response to infection, but the pathophysiological mechanism remains unclear. Sepsis-induced neuroinflammation and blood-brain barrier (BBB)disruption have been demonstrated as the crucial factors in the brain functional disturbance in SAE. Mast cells (MCs) activation has been reported to play an important role in several neuroinflammation models. However, the role of MCs in SAE has not been comprehensively investigated.
Methods: We first established a SAE model by cecal ligation puncture (CLP) surgery and checked the activation of MCs. We further analyzed the effects of MCs on neuroinflammation response, BBB permeability, cognitive function, and the underlying molecular mechanism in both tissue samples and cellular co-culture system. MCs activation was measured using immumohistochemical staining and 1% Toluidine Blue (TB) staining. We administrated a MC stabilizer, Cromolyn (10mg/ml), to rescue the septic mice. Brain cytokines levels were measured using biochemical assays. BBB disruption was assessed by measuring levels of key tight-junction (TJ) proteins. Cognitive function of mice was analyzed by Y maze and open field test. Transwell cultures of brain microvascular endothelial cells (BMVECs) co-cultured with MCs were used to assess the effect of LPS (1mg/ml) on expression of TJ proteins. The expression of TJ and TLR2/4-MAPK signaling pathway proteins were measured by immunoblotting and/or immunofluorescence.
Results: The results showed that MCs were seriously overactivated in the hippocampus of CLP-induced SAE mice. The inhibition of MCs by Cromolyn i.c.v injection significantly inhibited the inflammation responses, ameliorated the impairment of the BBB, improved the survival rate, and alleviated cognitive dysfunction. In vitro experiments, we revealed that MCs activation increased the sensitivity of brain microvascular endothelial cells (BMVECs) against to lipopolysaccharide (LPS) challenge. Furthermore, we found that histamine-H1R mediates the interaction between MCs and BMVECs, and amplifies the LPS induced inflammation response in BMVECs by modulating the TLR2/4-MAPKsignaling pathway.
Conclusions: The activation of MCs mediates BBB impairment and cognitive dysfunction of septic mice in a histamine dependent pathway.
Features of myocardial contractility of the right atrium and ventricle transformation in a model of pulmonary arterial hypertension induced by monocrotaline
Authors: Gerzen Oksana P. , Lisin Ruslan V. , Balakin Alexander A. , Mukhlynina Elena A. , Kuznetsov Daniil A. , Nikitina Larisa V. , Protsenko Yuri L.
Published: November 2022

Pulmonary arterial hypertension (PAH) leads to changes in the pump function of the heart and causes right-sided hypertrophy and heart failure. The study of the mechanical function of multicellular myocardial preparations was performed on isolated strips of the right atrium (RA) and trabeculae of the right ventricle (RV) of control (CONT) and monocrotaline-treated (MCT) male rats. The mechanical characteristics of the actin-myosin interaction were studied in the right-sided heart chambers from the CONT and MCT groups. For the first time, a comparative study of the contractile characteristics of myocardial preparations of both RA and RV in MCT-induced PAH at the molecular and multicellular levels was performed. For both RA and RV of MCT-treated rats, it was shown a decrease in the fraction of motile filaments and the maximum sliding velocity of actin and reconstituted thin filaments over myosin accompanied by a shift in α-/β-myosin heavy chains (MHC) ratio towards β-MHC. In the RA strips and RV trabeculae, a decrease in the maximum shortening velocity, the amplitude of isometric tension, the amount of work, and an increase in the end-systolic length were found. PAH leads to a greater drop in right atrial contractility than that of the ventricle.
Extraction of naringin and evaluation of its hypolipidemic activity
Authors: Yu Xiao-lei , Meng Xin , Yan Yi-Di , Wang Hui , Zhang Lei
Published: November 2022

Purpose:Pomelo peel is a natural plant product with numerous pharmacological effects and is used in traditional Chinese medicine. Pomelo peel is currently prescribed mainly for respiratory diseases. However, there are few reports on its hypolipidemic efficacy. In the present study, we extracted naringin from pomelo peel and investigated its hypolipidemic activity in a mouse hyperlipidemia model.
Methods: We used ultrasonic assisted extraction to extract naringin from pomelo peel, identified the structure of naringin.The hyperlipidemia mouse model was established. After intragastric administration of naringin for 5 weeks, we measured the weight change, organ index, high-density lipoprotein cholesterol (HDL-C), serum total cholesterol (TC), serum triglycerides (TG), liver superoxide dismutase (SOD), glutathione peroxidase (GSH-Px) Low density lipoprotein cholesterol (LDL-C) level, malondialdehyde (MDA) , alanine aminotransferase (ALT), aspartate aminotransferase(AST)level of mice in normal control group, high fat diet group and high, medium and low dose naringin group. The pathological changes in the liver were observed under a light microscope. The total RNA of liver was extracted, and the mRNA expression level of lipid metabolism related factors in mouse liver was detected by fluorescence quantitative PCR.
Result and conclusion: Naringin significantly (P<0.01) reduced the body weight, organ index, serum TG, LDL-C and TC levels of hyperlipidemic mice, but significantly (P<0.01) increased the serum HDL-C levels. In addition, naringin significantly (P<0.01) increased GSH Px and SOD activity, significantly (P<0.01) decreased MDA, ALT, AST levels, and significantly (P<0.01) decreased liver index. There was no statistically significant difference in brain, heart, spleen, kidney and other indicators (P>0.05). Histopathological analysis of mouse liver showed that naringin could alleviate the degenerative damage of fatty liver cells in hyperlipidemic mice. Naringin could significantly (p<0.01) reduce the expression of FAS and SREBP-1c mRNA, and significantly (p<0.01) increase PPARα mRNA expression. This study shows that naringin has a strong effect of lowering lipid and protecting liver in hyperlipidemic mice. These findings will help clarify the efficacy and mechanism of naringin in preventing hyperlipidemia, obesity and atherosclerosis. Naringin can be regarded as a special medical food for lipid-lowering intervention.
Comprehensive analysis of GEO data reveals potential miRNA-mRNA regulation axis and analyses the role of key regulatory axis on osteoarthritis
Authors: Ying Pu , Xu Yue , Jiang Xiaowei , Wang Kejie , Xue Yi , Wang Qiang , Ding Wenge , Dai Xiaoyu
Published: November 2022

Osteoarthritis is a heterogeneous disease with complex etiology. However, there is no effective treatment strategy at present. The purpose of this study is to explore the miRNA-mRNA regulatory network and molecular mechanism that regulate the progression of osteoarthritis. In this article, we downloaded dataset (GSE55457, GSE82107, GSE143514 and GSE55235) from Gene Expression Omnibus (GEO) to screen differentially expressed mRNAs in osteoarthritis. Then, through weighted gene co-expression network analysis (WGCNA), functional enrichment, protein-protein interaction networks (PPI), miRNA-mRNA co-expression network, ROC curve, immune infiltration analysis and qPCR, the mRNA PLCD3, which was highly expressed in osteoarthritis and had clinical predictive value, was screened. Whereafter, we found that PLCD3 directly targets miR-34a-5p through DIANA and dual luciferase experiment. And the expression of PLCD3 and miR-34a-5p were negatively correlated. In addition, CCK-8 and wound healing showed that miR-34a-5p mimic inhibited hFLS-OA cell proliferation and promoted hFLS-OA cell migration. PLCD3 overexpression showed an opposite trend. Western further found that overexpression of miR-34a-5p reduced the protein expression levels of p-PI3K and p-AKT, while overexpression of PLCD3 also showed the opposite trend. Besides, combined with the effect of PI3K/AKT pathway inhibitor BIO(IC50 = 5.95 µM), the results showed that overexpression of miR-34a-5p increased the inhibitory effect of BIO on p-PI3K and p-AKT protein expression, while overexpression of PLCD3 significantly reversed the inhibitory effect. In all, the miR-34a-5p/PLCD3 axis may mediate the PI3K/AKT pathway in regulating cartilage homeostasis in synovial osteoarthritis. These data indicate that miR-34a-5p/PLCD3 may be a new prognostic factor in the pathology of synovial osteoarthritis.
Reference intervals for Cd, Hg, Mn and Pb in the general children of Kinshasa (DR Congo)
Authors: Tuakashikila Y. M. , Mata H. M. , Kabamba M. M. , Malumba A. M. , Tuakuila J. K.
Published: November 2022

The RIs (reference intervals), proposed by the IFCC (International Federation of Clinical Chemistry and Laboratory Medicine) and the IUPAC (International Union of Pure and Applied Chemistry), were derived for Cd, Hg, Mn and Pb in the blood and urine of the children population living Kinshasa (n = 200, aged 3–14 years with 97 girls). Metals were measured using coupled plasma mass (ICP-MS). In blood, the proposed RIs [P5-P95 (GM)] were 0.022–1.112 µg/L (0.074), 35.69–144.50 µg/L (71.43), 0.060 to 1.161 µg/L (0.208) and 6.597–15.740 µg/L (9.882) for Cd, Pb, Hg and Mn, respectively. Urinary levels [(P5-P95 (GM)] were 0.082–1.530 µg/L(0.366) for Cd, 1.827–18.500 µg/L (5.458) for Pb, 0.323–1.953 µg/L (0.709) for Hg and 0.070 to 1.703 µg/L (0.186) for Mn. As compared to the CDC updated blood Pb reference value (3.5 µg/dL), Pb levels remain higher of public health concern. Cd and Mn levels were similar to those found in the same city in 2015 and databases involving non-occupationally exposed populations from other countries. Hg levels significantly lower than those found in the same city in 2015, probably due to exclusion criteria of metal exposure applying in the present survey (occupationally exposed to the studied metals, smoking habits, amalgam tooth fillings, fish consumption habit more than one time per week, etc.). These background metal exposures will be useful for future occupational and/or environmental surveys as well as undertaking a reliable regulation of chemical exposure in Kinshasa via a national HBM program.
Lysinibacillus macroides 38328, a potential probiotics strain, enhances antioxidant capacity and avian influenza virus vaccine immune response in laying hens
Authors: Zhu Xinyi , Sun Tong , Sun Xiaoyi , Chen Huinan , He Huilin , Duan Haoyuan , Zhang Chuankun , Shangguan Haikun , Yang Hongliang , Zhang Runxiang , Ge Junwei
Published: November 2022

Lysinibacillus sp. is a spore-forming gram-positive bacterium showing excellent adaptive capacity to environment, convenience to storage and antimicrobial properties. Thus, it has appeared a huge potential as probiotics in application, but related studies remain limited. This study was conducted to determine the effects of supplementary Lysinibacillus (L.) macroides 38328 in drinking water on antioxidant capacity and avian influenza virus vaccine immune response of laying hens. Hereon, layers were fed with drinking water with or without supplementary L. macroides 38328 at the dose of 7×109 colony-forming units per milliliter (CFU/mL). The results showed that supplementation with L. macroides 38328 significantly improved the layers’ productive performance while enhancing their antioxidant capacity and immunity. According to the testing results, the rise of serum T-AOC and the downtrend of serum MDA were significant (P < 0.05), while the uptrend of serum SOD concentration was extremely significant (P < 0.01). The bacillus additive also markedly increased the hens’ Stimulation Index and the AIV antibody titer to a trivalent inactivated H5 + H7 vaccine (P < 0.05). Meanwhile, significant improvements (P < 0.05) of productive performance indexes were also noted in treated birds. In conclusion, with its oral safety for laying hens verified, supplementary L. macroides 38328 had positive effects on layers’ heath condition and productivity, indicating great applied potential as a new probiotics strain.
The Impact of Patent Applications on Technological Innovation in European Countries
Authors: Leogrande Angelo , Costantiello Alberto , Laureti Lucio
Published: November 2022

We investigate the innovational determinants of “Patent Applications” in Europe. We use data from the European Innovation Scoreboard-EIS of the European Commission for 36 countries in the period 2010-2019. We use Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled OLS, WLS and Dynamic Panel. We found that the variables that have a deeper positive association with “Patent Applications” are “Human Resources” and “Intellectual Assets”, while the variables that show a more intense negative relation with Patent Applications are “Employment Share in Manufacturing” and “Total Entrepreneurial Activity”. A cluster analysis with the k-Means algorithm optimized with the Silhouette Coefficient has been realized. The results show the presence of two clusters. A network analysis with the distance of Manhattan has been performed and we find three different complex network structures. Finally, a comparison is made among eight machine learning algorithms for the prediction of the future value of the “Patent Applications”. We found that PNN-Probabilistic Neural Network is the best performing algorithm. Using PNN the results show that the mean future value of “Patent Applications” in the estimated countries is expected to decrease of -0.1%.
WITHDRAWN: Cross Double Slit Experiment: Non-Interference Pattern Evolving to Interference Pattern --- Precise Rule of Convex Lens
Authors: peng hui
Published: November 2022

The standard interpretation of Young’s double slit experiment is that the light behaves as waves before and after passing through the diaphragm of the double slit. Recently, the photon chamber has been proposed and utilized to study the behavior of photons near the detecting screen. The experiments show that the light behaves as photons propagating along the straight-line trajectories that distribute as waves. Furthermore, the photon chamber placed near the double slit shows the non-interference pattern. In this article we show how the non-interference pattern evolves gradually to the interference pattern in the same cross double slit experiment: (1) the convex lens is placed at 50 mm from the diaphragm of the cross double slit, the non-interference pattern shows and has four primary maximum intensities (Figure (a)); (2) at 100 mm, the four primary maximum intensities disappeared (Figure (b)); (3) at 200 mm (Figure (c)); (4) at 600 mm, the interference pattern shown (Figure (d)), namely the non-interference pattern evolves to the interference pattern. The optics wave and electromagnetic wave theories cannot interpret this phenomenon and thus, is incomplete. This phenomenon provides information for further theoretical development. The cross double slit experiment is complex than the double slit experiments. We briefly discuss the complexity of the cross double slit experiment and show the comparison of both. Declaration: the author declares that there is no potential interest conflict.
Intermediate Semantic Multi-view Recommender System Based on Multimodal Knowledge Graph
Authors: Mark  , Joan  , Joseph  , Allan
Published: November 2022

Due to the huge amount of multimedia data and the backwardness of traditional data management technology for multimedia data management, it is difficult for people to get the data of interest from the huge amount of multimedia data. Therefore, the problems of "data overload" and "more multimedia data but less knowledge" have emerged. Recommendation system is born to solve such problems. Today, recommendation systems are becoming the core technology of many Internet products. The core problem that recommendation algorithms solve is to evaluate goods or services that users have not consumed themselves, and to recommend goods or services that may be of interest to users. Traditional video recommendation based on the metadata of video (text) or image content of video (image) as video content analysis only considers the content analysis of individual video modalities. However, video data contains information of multiple modalities of text, image and audio, and the multimodal content and the correlations in it are not explored. Therefore, existing video recommendation systems cannot achieve multi-view recommendation of videos. This paper addresses this problem by innovatively converting the multimodal information fusion process in knowledge graphs into an information propagation process on graphs and designing a new model. An intermediate semantic based metric is used. Based on the unimodal labeling, multimodal labeling is proposed to describe the multimodal semantic information in the video. Further, a multicore learning architecture is used to combine the semantics of multiple modalities so as to map the underlying multimodal features to a unified intermediate semantic space and learn the similarity metric function between videos based on the intermediate semantic space. Extensive experiments are conducted on real datasets. The experimental results show that our model outperforms the current mainstream collaborative filtering-based recommendation algorithms, knowledge graph-based recommendation algorithms, and multimodal learning-based recommendation algorithms.
Blood transcriptome analysis in a buck-ewe hybrid points towards an Nuclear Factor-kappa B lymphoproliferative autoimmune disorder
Authors: Falker-Gieske Clemens , Tetens Jens
Published: November 2022

Mammal hybridization is a speciation mechanism and an evolutionary driver. Goat-sheep, especially buck-ewe hybrids, are very rare with only one case reported in 2016, which is the subject of the work presented here. Blood transcriptome analysis revealed that the hybrid largely deviated from imprinting schemes previously described in sheep and other mammals. Furthermore, transcriptome regulation seems to differ from the parent transcriptomes, which is most likely a product of partially incompatible imprinting mechanisms from two closely related species. To gain a deeper understanding of hybridization in mammals we re-analyzed the RNA sequencing data of the buck-ewe hybrid and its parents. We found parent-of-origin-specific expression of genes that functionally clustered, which we explain with the Dobzhansky–Muller incompatibility (DMI) model. According to the DMI model, proteins which interact have a high probability of being barrier loci and hence are prone to monoallelic expression. We discovered enrichment of genes uniquely expressed by the buck-ewe hybrid, which implicate that it suffered from an NF-κB lymphoproliferative autoimmune disorder. Similar findings were reported in the F1 generation of hybrid mice. We propose that hybridization of two related species may lead to an autoimmune phenotype, due to immunoglobulin incompatibilities and incomplete silencing of barrier loci.
Editorial: Schulentwicklungsprozesse für Bildung in der digitalen Welt
Authors: Endberg Manuela , Heinemann Anna , Hasselkuß Marco , Gageik Lisa
Published: November 2022

Das Editorial gewährt einen Überblick über die im Themenheft versammelten Beiträge und ordnet diese in theoretische sowie aktuelle bildungspolitische Diskurse ein. Dazu werden zunächst theoretische Leitthemen erläutert, die für den Auswahlprozess der Beiträge eine entscheidende Rolle spielten: Schulentwicklung, Digitalisierung und Kooperation sind demnach Schlüsselbegriffe bzw. thematische Ankerpunkte, die in allen Beiträgen in unterschiedlicher Intensität aufgegriffen werden. Im Editorial werden diese vorgestellt und miteinander in Beziehung gesetzt. Dabei wird den Fragen nachgegangen, was unter Schulentwicklung verstanden wird, was Schulentwicklung mit Digitalisierung zu tun hat und inwiefern Kooperation ein Merkmal gelingender Schulentwicklung im Kontext der Digitalisierung darstellt – theoretisch sowie unter Aufbereitung des Forschungsstandes. Anschliessend folgt eine Synthese der Beiträge des Themenhefts. Die insgesamt 20 Beiträge werden dabei sowohl hinsichtlich der ihnen zugrunde liegenden Forschungsdesigns sowie methodischer und theoretischer Zugänge beleuchtet. In dem daraus resultierenden Resümee werden einige wenige «blinde Flecken» beschrieben, die im Diskurs um Schulentwicklungsprozesse für Bildung in der digitalen Welt aus Sicht der Herausgebenden eine wichtige Rolle spielen, in den Beiträgen jedoch noch nicht im Fokus stehen und sich daher anbieten, in künftiger Forschung verstärkt aufgegriffen zu werden. Abschliessend wird die Relevanz des Themenheftes für den Gesamtdiskurs des Themenfeldes herausgestellt. Zudem werden in einem Ausblick zahlreiche Herausforderungen benannt, die für Schulentwicklungsprozesse für Bildung in der digitalen Welt bestehen und weitere Forschung erfordern.
Engaging Latina Students in the Invention Ecosystem
Authors: Saenz Cristina , Skukauskaite Audra
Published: November 2022

Researchers who focus on innovation and invention provide empirical evidence for the benefits of drawing on diverse ideas throughout the invention process; however, the majority of inventors in the United States are White, middle-aged males with advanced science, technology, engineering, or mathematics degrees. By relying primarily on the ideas and inventiveness of homogenous groups, the United States is losing out on diverse and valuable funds of knowledge, which could contribute to groundbreaking innovations to improve peoples' everyday lives and the nation's global competitiveness. Considering that one in four students in the U.S. school system identifies as Latinx, and by 2050, one in three U.S. Americans will identify as Latinx, drawing on the rich cultural knowledge found within Latinx communities is essential for fostering innovation and invention in the diverse U.S. society.
 In this conceptual paper, we focus specifically on engaging Latina students in the innovation ecosystem while emphasizing the importance of including the varied perspectives and diverse skill sets of all students. We propose the funds of knowledge theory as a helpful perspective for exploring the ways and reasons for including Latinas (and other diverse students) in inventing. We make the connection between funds of knowledge and invention education (IvE) and argue that one of the most productive ways to engage Latinas and other under-represented students in inventing is to embed IvE within the school day. By including diverse groups in the invention ecosystem, U.S. society and industry can benefit from rich funds of knowledge, which can contribute to solving the complex problems diverse communities face.
Kulttuurien tutkimuksen menetelmät
Authors: Kajander Konsta , Lappi Tiina-Riitta
Published: November 2022

This collection deals with cultural studies in the humanities and the methods it uses. Its authors include scholars of ethnology, anthropology, folkloristics, digital culture research, and study of religions. Its chapters address topics of discussion and debate in humanistic culture research and indicate what tools are currently being used to study cultural phenomena. Various phases of the research process are covered, including epistemology, research ethics, techniques of data collection and analysis, the writing process of research plans, and the process of writing up the analysis. The book’s authors contribute to our knowledge of changes in research paradigms and agendas, scientific philosophies, ethnographic fieldwork, different modes of writing, materiality, reflexivity, observation, researchers’ use of the five senses, digital research, audiovisual techniques of observation, and selected textual methodologies. The book is intended as a textbook and methods guide for students in the fields of cultural research, for postdoctoral researchers, and for more senior researchers.
DETERMINAÇÃO DOS PARÂMETROS CINÉTICOS DE DEGRADAÇÃO E ESTIMATIVA DO TEMPO DE FALHA DE CONTRAMEDIDAS ELETRÔNICAS “FLARE” DO TIPO MAGNÉSIO TEFLON® VITON®
Authors: Rodrigues Carlos , Kirchhof Edemar , Rocco José
Published: November 2022

DETERMINATION OF DEGRADATION KINETIC PARAMETERS AND FAILURE TIME ESTIMATION OF MAGNESIUM TEFLON® VITON® ELECTRONIC “FLARE” COUNTERMEASURES. Flare type countermeasures that use the composition designated as MTV (Magnesium, Teflon®, Viton®), are the most used by Air Forces around the world. In Brazil, these “flares” are used in several locations and are subjected to different handling, storage and operation conditions that can affect their performance and compromise their service life. In this work, the Monte Carlo method was applied to estimate an empirical model to predict the lifetime of these countermeasures, using as variables the temperature and the relative humidity of the place where the material is used. The results were analyzed using multiple linear regression and analysis of variance. The kinetic parameters of material thermal degradation, such as Activation Energy and Pre-exponential Factor, and the estimated failure times of these countermeasures were determined. The results pointed out to strong temperature influence on material degradation resulting in different lifetimes for each site studied.
Comparative study on early recognition and identifying diabetic retinopathy with different layers in CNN
Authors:   Department of CSE, Gitam School of Technology, Gitam Deemed to be University, Visakhapatnam, India, Kumari Gorli L. Aruna , Padmaja Poosapati ,   Department of IT, Anil Neerukonda Institute of Technology and Science, Visakhapatnam, India, Suma Jaya G. ,   Department of IT, College of Engineering, Jawaharlal Nehru Technological University, Kakinada, India
Published: November 2022

Diabetes is the most prevalent condition worldwide, and diabetic retinopathy (DR) is a subsequent condition caused by acute diabetic cases. It causes severe degeneration of the retina. The compounding blood vessels bloat and often burst, causing fluid leaks in the aqueous humor. This, in turn, causes the creation of undesirable nerve fiber infractions from the occlusion of arteries. Diagnosis requires a manual retinal examination that can often be inconsistent and deliberate with potential flaws in the diagnosis. Early detection through an ophthalmologist is paramount to prevent the prognosis of severe vision loss. Considering the current leap of machine learning in the field of healthcare, early detection of DR can be potentially made efficient with intelligent systems. This research proposes methodologies to fine-tune the existing pre-trained architectures, attaining the classification accuracies of 98% to classify the ocular fundus images which identify early prediction of diabetes. Additionally, this study presents an exposition of other equally scrutinized approaches to ultimately showcase a deep neural network architecture that can precisely classify normal fundus and degenerated fundus from the lowest to the most severe hierarchy. Among several layers in the CNN model pre-tuning and post-tuning exception layers outperformed with good results.