417 research outputs found
ULTRA WIDE BAND RADAR BASED BREAST CANCER DETECTION USING STACKED PATCH AND WIDE SLOT ANTENNA
A wide slot UWB antenna is used for the detection of breast cancer .This method works on the principle of ultra wide band radar imaging technique. In this paper comparing the performance of both stacked patch and wide slot antenna used for the purpose of breast cancer detection. Calculating specific absorption rate of both antenna, when it is placed in a normal tissue and tumors tissue, and comparing its results .And also measuring certain parameters of both simulated and measured results. From this comparative study its clear that wide slot UWB antenna has excellent performance in this UWB frequency range. And also wide slot antenna is three times smaller than stacked patch antenna
Technology-Facilitated sexual violence perpetration and victimization among adolescents: a network analysis
Introduction The present study sought to analyze the relationships between diferent forms of technology-facilitated sexual
violence (TFSV) perpetration and victimization, including gender- and sexuality-based harassment, digital sexual harassment,
and image-based sexual abuse (IBSA), which includes both sextortion and non-consensual pornography.
Methods The sample was composed of 1682 adolescents (865 girls; Mage=13.90, SDage=1.26) who completed self-report
measures from November 2019 to March 2020. We conducted network analyses to analyze the relationships among diferent
forms of TFSV perpetration and victimization.
Results Overall, girls had higher victimization scores, whereas boys had higher scores in the perpetration of several forms
of TFSV. Gender- and sexuality-based victimization formed a cluster with digital sexual harassment victimization, while
sextortion and nonconsensual pornography victimization formed a diferentiated cluster. Forms of IBSA victimization and
digital sexual harassment victimization were strongly associated with their perpetration counterparts for boys, but this was
not the case for girls.
Conclusions The results revealed that the diferent forms of victimization and perpetration appear to be related and suggest
that TFSV is a gendered form of abuse.
Policy Implications Findings from the present study suggest that preventive programs in schools and communities should
be holistic and address various forms of TFSVOpen Access funding provided thanks to the CRUE-CSIC
agreement with Springer Nature. Funding for this study was provided by
the Ministerio de Ciencia e Innovación (the Spanish Government) Grant
RTI2018‐101167‐B‐I0
Response of mycorrhizal grapevine to Armillaria mellea inoculation: disease development and polyamines.
A study was conducted with the vine rootstock Richter 110 (Vitis berlandieri Planch. x Vitis rupestris L.) in order to assess whether the colonisation by the arbuscular mycorrhizal fungus (AMF) Glomus intraradices (BEG 72) can delay the disease development in plants inoculated with the root-rot fungus Armillaria mellea (Vahl:Fr) Kummer, and to elucidate if the levels of polyamines (PAs) are modified in response to G. intraradices, A. mellea or by the dual infection. Four treatments were considered: control and G. intraradices-inoculated plants infected or not with A. mellea. Plant growth, mycorrhizal colonisation and disease development were monitored throughout the experiment. High performance liquid chromatography (HPLC) in combination with fluorescence spectrophotometry was used to separate and quantify free root and leaf polyamines. The slower development of pathogenic symptoms and the higher plant biomass of mycorrhizal plants inoculated with A. mellea indicate an increase of tolerance due to the AMF inoculation. The variations in free PA levels detected at the beginning of the pathogenic infection suggest that PAs may have a potential role in the signalling mechanisms of the tolerance of mycorrhizal plants against A. mellea
Stability of the online grooming victimization of minors: prevalence and association with shame, guilt, and mental health outcomes over one year
Introduction: Online grooming is the process by which an adult manipulates a minor
by using information and communication technologies to interact sexually with that
minor. The objective of this study was to analyze the stability of online grooming
victimization among minors and its relationship with demographic variables (e.g.,
gender, age, and sexual orientation), emotions of shame and guilt, and depression and
anxiety symptoms.
Methods: The participants were 746 adolescents aged 12–14 years when the study
started (Mage = 13.34, SD = 0.87) who completed self‐reports at Time 1 (T1) and 1
year later at Time 2 (T2). Among them, 400 were girls, 344 were boys, and two were
nonbinary. At each time point, the minors self‐reported their online grooming
experiences during the previous year.
Results: The results showed that 11.8% (n = 89) of the participants were T1‐victims,
13% (n = 95) were T2‐victims, and 11% (n = 81) were stable victims of online
grooming. Stability in victimization was related to being older, being a sexual
minority, being born abroad, having separated or divorced parents, and having
parents with a lower education level. Stable victims showed higher shame and guilt
scores at T1 than did T1‐victims, indicating that elevated levels of shame and guilt
could contribute to the persistence of online grooming over time.
Conclusions: Overall, adolescents in the stable victim category presented more
depression and anxiety symptoms. Intervention strategies should address emotions
related to victimization, such as shame and guilt, as well as depression and anxiety
symptomsMinisterio de Ciencia e Innovación (Spanish
Government), Grant/Award Number: RTI2018‐
101167‐B‐I0
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Development and Utility of Quality Metrics for Ambulatory Pediatric Cardiology in Kawasaki Disease.
The Adult Congenital and Pediatric Cardiology (ACPC) Section of the American College of Cardiology sought to develop quality indicators/metrics for ambulatory pediatric cardiology practice. The objective of this study was to report the creation of metrics for patients with Kawasaki disease. Over a period of 5 months, 12 pediatric cardiologists developed 24 quality metrics based on the most relevant statements, guidelines, and research studies pertaining to Kawasaki disease. Of the 24 metrics, the 8 metrics deemed the most important, feasible, and valid were sent on to the ACPC for consideration. Seven of the 8 metrics were approved using the RAND method by an expert panel. All 7 metrics approved by the ACPC council were accepted by ACPC membership after an "open comments" process. They have been disseminated to the pediatric cardiology community for implementation by the ACPC Quality Network
Automated sleep stage classification in sleep apnoea using convolutional neural networks
A sleep disorder is a condition that adversely impacts one\u27s ability to sleep well on a regular schedule. It also occurs as a consequence of numerous neurological sicknesses. These types of disorders can be investigated using laboratory-based polysomnography (PSG) signals. The detection of neurological disorders is exact and efficient thanks to the automated monitoring of sleep relegation stages. This automation method publicly presents a flexible deep learning model and machine learning approach utilizing raw electroencephalogram (EEG) signals. The deep learning model is a Deep Convolutional Neural Network (CNN) that analyses invariant time capacities and frequency actualities and collects assessment adaptations. It also captures the inviolate and long brief length setting conditions between the epochs and the degree of sleep stage relegation.
This method uses an innovative function to calculate data loss and misclassified errors found while training the network for the sleep stage, considering the restrictions found in the publicly available sleep datasets. It is used in conjunction with machine learning techniques to forecast the best approach for the process. Its effectiveness is determined by using two open-source, public databases available from PhysioNet: two recordings with 5402 epoch counts. The technique used in this approach achieves an accuracy of 90.70%, precision of 90.50%, recall of 92.70%, and F-measure of 90.60%. The proposed method is more significant than existing models like AlexNet, ResNet, VGGNet, and LeNet. The comparative study of the models could be adopted for clinical use and modified based on the requirements
CHK1 expression in gastric cancer is modulated by p53 and RB1/E2F1: implications in chemo/radiotherapy response
This work is licensed under a Creative Commons Attribution 4.0 International License.-- et al.Radiation has a limited but relevant role in the adjuvant therapy of gastric cancer (GC) patients. Since Chk1 plays a critical function in cellular response to genotoxic agents, we aimed to analyze the role of Chk1 in GC as a biomarker for radiotherapy resistance. We analyzed Chk1 expression in AGS and MKN45 human GC cell lines by RT-QPCR and WB and in a small cohort of human patient's samples. We demonstrated that Chk1 overexpression specifically increases resistance to radiation in GC cells. Accordingly, abrogation of Chk1 activity with UCN-01 and its expression with shChk1 increased sensitivity to bleomycin and radiation. Furthermore, when we assessed Chk1 expression in human samples, we found a correlation between nuclear Chk1 accumulation and a decrease in progression free survival. Moreover, using a luciferase assay we found that Chk1's expression is controlled by p53 and RB/E2F1 at the transcriptional level. Additionally, we present preliminary data suggesting a posttranscriptional regulation mechanism, involving miR-195 and miR-503, which are inversely correlated with expression of Chk1 in radioresistant cells. In conclusion, Chk1/microRNA axis is involved in resistance to radiation in GC, and suggests Chk1 as a potential tool for optimal stratification of patients susceptible to receive adjuvant radiotherapy after surgery.This work was supported by Instituto de Salud Carlos III–Fondo de Investigación Sanitaria (PS09/1988 to ISP; PI11-00949, pI014-1495 and Feder Funds to RP); Comunidad Autónoma de Madrid-Universidad Autónoma de Madrid (CCG10-UAM/BIO-5871 to ISP); Fundación Leticia Castillejo Castillo and Ministerio de Ciencia
e Innovación (SAF2012-30862 to RSP), Spain. JBI was supported by a fellowship from Catedra Isaac Costero, funded by Banco Santander UAM and is a doctoral student from a double doctorate program in Molecular Biosciences (UAM) and in Biomedical Sciences, (UNAM) and received fellowship CVU:607546 from CONACYT.Peer Reviewe
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