BAYESIAN PREDICTION METHOD FOR SHADOW DETECTION AND RECONSTRUCTION IN HSR IMAGES USING MORPHOLOGICAL FILTER

Several approaches are exists today according to color, intensity and saturation value etc that are very less accurate. Within this paper, we advise alternative shadow recognition formula according to thresholding and morphological filtering, along with an alternate shadow renovation formula in line with the example learning method and Markov random field (MRF). The primary purpose of this project is recognition and renovation of shadows from VHSR images. Removing or alleviating the instants while using shadows in HSR images for more processing is an extremely important task because the shadows are induce to loss or miss conjecture of radiometric information and induce to image interpretation. Throughout the shadow recognition procedure, the bimodal distributions of pixel values within the near-infrared (NIR) band and also the panchromatic band are adopted for thresholding. Throughout the shadow renovation procedure, we model the connection between non shadow and also the corresponding shadow pixels and between neighboring no shadow pixels by using MRF. With extension for this paper we advise Bayesian conjecture way of accurate conjecture of shadow. Within this paper for accurate shadow recognition we combine thresholding and morphological filtering concepts. This shadow recognition includes Thresholding, Morphological filtering and edge compensation stages

Early-Stage Breast Cancer Detection in Breast Milk

Breast cancer; Breast milkCáncer de mama; Leche maternaCàncer de mama; Llet maternaBreast cancer occurring during pregnancy (PrBC) and postpartum (PPBC) is usually diagnosed at more advanced stages compared with other breast cancer, worsening its prognosis. PPBC is particularly aggressive, with increased metastatic risk and mortality. Thus, effective screening methods to detect early PrBC and PPBC are needed. We report for the first time that cell-free tumor DNA (ctDNA) is present in breast milk (BM) collected from patients with breast cancer. Analysis of ctDNA from BM detects tumor variants in 87% of the cases by droplet digital PCR, while variants remain undetected in 92% of matched plasma samples. Retrospective next-generation sequencing analysis in BM ctDNA recapitulates tumor variants, with an overall clinical sensitivity of 71.4% and specificity of 100%. In two cases, ctDNA was detectable in BM collected 18 and 6 months prior to standard diagnosis. Our results open up the potential use of BM as a new source for liquid biopsy for PPBC detection. Significance: For the first time, we show that BM obtained from patients with breast cancer carries ctDNA, surpassing plasma-based liquid biopsy for detection and molecular profiling of early-stage breast cancer, even prior to diagnosis by image.We thank the patients who participated in the study and donated samples for analysis for their generous contribution, with particular thanks to the first patient, Maite, and her daughter Àneu, who inspired us to initiate this study (oral consent to name the patient and her daughter was provided by the patient, and her legal partner provided written consent after patient's exitus). We are grateful to Javier Carmona for his valuable contributions and support in the manuscript's conceptualization, preparation, and revision. VHIO would like to acknowledge the Cellex Foundation for providing research facilities and equipment and the CERCA Programme from the Generalitat de Catalunya for their support of this research. The authors from VHIO acknowledge the State Agency for Research (Agencia Estatal de Investigación) for the financial support as a Center of Excellence Severo Ochoa (CEX2020-001024-S/AEI/10.13039/501100011033). This research is financially supported by the “El paseíco de la mama” Foundation. C. Saura was the recipient of a II FERO-GHD grant from the FERO Foundation (FERO/5086), a Junior Clinical award from the Spanish Association Against Cancer Foundation (FAECC; CLJUN212026ORTI), and a SEOM-Daiichi Sankyo grant for its support on the Breast Cancer Research Projects 2021 (SEOM/FECMA2022) and received funding from the Department of Health (Generalitat de Catalunya SLT008/18/00198) and from the Instituto de Salud Carlos III (ISCIII) and Fondo Europeo de Desarrollo Regional (FEDER), cofunded by the European Union (PI21/01020). C. Ortiz was the recipient of a Junior Clinician award from the FAECC (CLJUN212026ORTI) and a SEOM-Daiichi Sankyo grant for its support on the Breast Cancer Research Projects 2021 (SEOM/FECMA2022), and received funding from the Department of Health (Generalitat de Catalunya SLT008/18/00198). N. Bayó-Puxan received funding from the Department of Health (Generalitat de Catalunya SLT008/18/00205), MCIN/AEI/10.13039/501100011033 (GPE2022-001029) and MCIN/AEI/10.130.39/501100011033, and the European Union “Next GenerationEU/PRTR” (ECT2020-000827). J.M. Miquel received funding from the Department of Health (Generalitat de Catalunya SLT008/18/00205), MCIN/AEI/10.130.39/501100011033, and the European Union “Next GenerationEU/PRTR” (ECT2020-000827). J. Arribas is funded by the Breast Cancer Research Foundation (BCRF-23-008), Instituto de Salud Carlos III (project reference numbers AC15/00062, CB16/12/00449, and PI22/00001), and the European Commission under the framework of the ERA-NET TRANSCAN-2 initiative cofinanced by FEDER and Asociación Española Contra el Cáncer. A. Vivancos was the recipient of a project award from the FAECC (AVP/18/AECC/3219) and received funding from the Advanced Molecular Diagnostic (DIAMAV) program from the FERO Foundation (8361) and from ISDIN for supporting the development of liquid biopsy applications at the Cancer Genomics Lab (1848). M. Sansó was the recipient of a II FERO-GHD grant from the FERO Foundation (FERO/5086) and an investigator award from the FAECC (INVES19056SANS), and received funding from the Health Research Institute of the Balearic Islands (IdISBa), the RADIX-Janssen program (RADIX/JANSSEN21/01), and the Miguel Servet Program funded by the ISCIII (CP22/00131)

Allogeneic Stem Cell Transplantation in Mature T Cell and Natural Killer/T Neoplasias: A Registry Study from Spanish GETH/GELTAMO Centers

Despite advances in understanding the biology of mature T and natural killer (NK)/T cell neoplasia, current therapies, even the most innovative ones, are still far from ensuring its cure. The only treatment to date that has been shown to control aggressive T cell neoplasms in the long term is allogeneic stem cell transplantation (alloSCT). We aim to report the results of alloSCT for advanced mature T and NK/T neoplasias performed in centers from our national GELTAMO/GETH (Grupo Español de Linfoma y Trasplante de Médula Ósea/Grupo Español de Trasplante Hematopoyético y Terapia Celular) over the past 25 years. As a secondary objective, we analyzed the results of alloSCT from haploidentical donors. We performed a retrospective analysis of all patients who received an alloSCT in Spanish centers (n = 201) from September 1995 to August 2018. The 2-year overall survival (OS) and disease-free survival (DFS) were 65.5% and 58.2%, respectively. The univariate for OS and DFS showed statistically different hazard ratios for conditioning intensity, response pre-alloSCT, comorbidity index, donor/receptor cytomegalovirus status and Eastern Cooperative Oncology Group (ECOG) pre-alloSCT, but only a better ECOG pre-alloSCT remained significant in the multivariate analysis. There was an increased incidence of relapse in those patients who did not develop chronic graft-versus-host disease (GVHD) and an increased risk of death in those developing moderate to severe acute GVHD. The 1-year nonrelapse mortality was 21.9% and was mainly due to GVHD (30%) and bacterial infections (17%). When comparing unrelated donors with haploidentical donors, we found similar results in terms of OS and DFS. There was, however, a reduction of acute GVHD in the haploidentical group (P = .04) and trend to a reduction of chronic GVHD. In conclusion, alloSCT is the only curative option for most aggressive T cell neoplasias. Haploidentical donors offer similar results to related donors in terms of survival with a reduction of acute GVHD

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks

A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV

Search for supersymmetry in events with one lepton and multiple jets in proton-proton collisions at root s=13 TeV

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Measurement of the top quark mass using charged particles in pp collisions at root s=8 TeV

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Search for anomalous couplings in boosted WW/WZ -> l nu q(q)over-bar production in proton-proton collisions at root s=8TeV

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Measurement of the Splitting Function in &ITpp &ITand Pb-Pb Collisions at root&ITsNN&IT=5.02 TeV

Data from heavy ion collisions suggest that the evolution of a parton shower is modified by interactions with the color charges in the dense partonic medium created in these collisions, but it is not known where in the shower evolution the modifications occur. The momentum ratio of the two leading partons, resolved as subjets, provides information about the parton shower evolution. This substructure observable, known as the splitting function, reflects the process of a parton splitting into two other partons and has been measured for jets with transverse momentum between 140 and 500 GeV, in pp and PbPb collisions at a center-of-mass energy of 5.02 TeV per nucleon pair. In central PbPb collisions, the splitting function indicates a more unbalanced momentum ratio, compared to peripheral PbPb and pp collisions.. The measurements are compared to various predictions from event generators and analytical calculations.Peer reviewe

Measurement of nuclear modification factors of gamma(1S)), gamma(2S), and gamma(3S) mesons in PbPb collisions at root s(NN)=5.02 TeV

The cross sections for ϒ(1S), ϒ(2S), and ϒ(3S) production in lead-lead (PbPb) and proton-proton (pp) collisions at √sNN = 5.02 TeV have been measured using the CMS detector at the LHC. The nuclear modification factors, RAA, derived from the PbPb-to-pp ratio of yields for each state, are studied as functions of meson rapidity and transverse momentum, as well as PbPb collision centrality. The yields of all three states are found to be significantly suppressed, and compatible with a sequential ordering of the suppression, RAA(ϒ(1S)) > RAA(ϒ(2S)) > RAA(ϒ(3S)). The suppression of ϒ(1S) is larger than that seen at √sNN = 2.76 TeV, although the two are compatible within uncertainties. The upper limit on the RAA of ϒ(3S) integrated over pT, rapidity and centrality is 0.096 at 95% confidence level, which is the strongest suppression observed for a quarkonium state in heavy ion collisions to date. © 2019 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP3.Peer reviewe