On neutrino and charged lepton masses and mixings: A view from the electroweak-scale right-handed neutrino model

We present a model of neutrino masses within the framework of the EW-$\nu_R$ model in which the experimentally desired form of the PMNS matrix is obtained by applying an $A_4$ symmetry to the \emph{Higgs singlet sector} responsible for the neutrino Dirac mass matrix. This mechanism naturally avoids potential conflict with the LHC data which severely constrains the Higgs sector, in particular the Higgs doublets. Moreover, by making a simple $ans\ddot{a}tz$ we extract $\mathcal{M}_l {\mathcal{M}_l}^\dagger$ for the charged lepton sector. A similar $ans\ddot{a}tz$ is proposed for the quark sector. The sources of masses for the neutrinos are entirely different from those for the charged leptons and for the quarks and this might explain why $U_{PMNS}$ is {\em very different} from $V_{CKM}$.Comment: 19 pages. Two figure

Lepton Flavor Violating Radiative Decays in EW-Scale νR\nu_R Model: An Update

We perform an updated analysis for the one-loop induced lepton flavor violating radiative decays $l_i \to l_j \gamma$ in an extended mirror model. Mixing effects of the neutrinos and charged leptons constructed with a horizontal $A_4$ symmetry are also taken into account. Current experimental limit and projected sensitivity on the branching ratio of $\mu \to e \gamma$ are used to constrain the parameter space of the model. Calculations of two related observables, the electric and magnetic dipole moments of the leptons, are included. Implications concerning the possible detection of mirror leptons at the LHC and the ILC are also discussed.Comment: 9 figures, 36 single-side pages. Updated email addresses and referenc

ỨNG DỤNG DỮ LIỆU VIỄN THÁM HỒNG NGOẠI NHIỆT LANDSAT NGHIÊN CỨU ĐỘ ẨM ĐẤT TRÊN CƠ SỞ CHỈ SỐ KHÔ HẠN NHIỆT ĐỘ THỰC VẬT

Drought  is  a  natural  phenomenon,  which  occurs  in  most  regions  in  the  world,  caused  immense  damage  in agricultural  production  and  seriously  affected  on  the  environment.  Application  of  remote  sensing  data  in  studying, monitoring  and  dealing  with  drought  phenomenon  has  achieved  positive  results.  Compared  to traditional  methods, remote  sensing  technology  with  advantages  such  as  wide  area  coverage  and  short  revisit  interval  has  been  used effectively in the study of soil moisture and monitoring vegetation health. This article presents results of soil moisture monitoring from LANDSAT multispectral images with average spatial resolution using temperature vegetation dryness index (TVDI) based analyzes a correlation between land surface temperature and land cover. Land surface temperature and soil moisture are the most important physical factors for water exchange processes and energy exchanges between land surfaces and the overlying atmosphere. Temperature can rise very quickly in the situation of drought on surface and vegetation.  This  study  shows  a  program  to  use  for  calculation  land  surface  temperature  and  temperature  vegetation index by Visual C++ programming languages, which can help to reduce costs and save time - compared to using the image processing software such as ERDAS Imagine, ENVI,... The results obtained in this study can be used to create the soil moisture map, to monitor drought phenomenon and vegetation health.ReferencesBarsi J.A., Schott J.R., Palluconi F.D., Helder D.L., Hook S.J., Markham B.L., Chander G., O’Donnell E.M., 2003. LANDSAT TM and ETM+ thermal band calibration, Canada Journal of Remote sensing, Vol.29, No.2, pp. 141-153. Chavez P.S., 1996. Image-based atmospheric corrections-revisited and improved, Photogrammetric Engineering and Remote Sensing 62(9): pp.1025-1036. Chavez P.S., 1988. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data, Remote Sensing of Environment 24: pp.459-479. Fei Yuan, Marvin E. Bauer, 2007: Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in LANDSAT imagery, Remote sensing of Environment, 106, pp. 375-386. Hyung Moo Kim, Beob Kyun Kim, Kang Soo You, 2005. A statistic correlation analysisalgorithm between land surface temperature and vegetation index, International journal of information processing systems, Vol. 1, No. 1, pp. 102-106. Trịnh Lê Hùng, 2014. Nghiên cứu sự phân bố nhiệt độ bề mặt bằng dữ liệu ảnh đa phổ LANDSAT. Tạp chí Các khoa học về Trái Đất, tập 36, số 01, 82-89. Lambin T.R., Ehrlich D., 1996. The surface temperature-vegetation index space for land cover and land cover change analysis, International journal of remote sensing, 17(3), 163-187. Lu Yuan, Tao Heping, Wu Hua, 2007. Dynamic drought monitoring in Guangxi using revised temperature vegetation dryness index, Wahan University journal of Natural sciences, Vol. 12, No.4, pp. 663-668. Sandholt I., Rasmussen K., Anderson J., 2002. A simple interpretation of the surface temperature/vegetation index space for assessment of the surface moisture status, Remote Sensing of Environment, Vol. 79, pp. 213-224. Sundara Kumar K., Udaya Bhaskar P., Padmakumari K., 2012. Estimation of land surface  temperature to study urban heat island effect using LANDSAT ETM+ image. International journal of Engineering Science and technology, Vol. 4, No. 2, pp. 771-778. Trần Thị Vân, Hoàng Thái Lan, Lê Văn Trung, 2009. Phương pháp viễn thám nhiệt trong nghiên cứu phân bố nhiệt độ đô thị. Tạp chí Các Khoa học về Trái Đất, T.31, 2, 168-177. Tran H., Yasuoka Y., 2001. MODIS data acquisition, processing and scientific ultilization framework at the Institute of Industrial Science, University of Tokyo. In Proceeding of the 22nd Asian conference on Remote sensing, Singapore, 1, 488-492. Valor E., Caselles V., 1996. Mapping land surface emissivity from NDVI. Application to European African and South American areas. Remote sensing of Environment, 57, pp. 167-184. Van de Griend A.A., Owen M., 1993. On the relationship between thermal emissivity and the normalized difference vegetation index for natural surface. International journal of remote sensing, 14, pp. 1119-1131. Yuhai Bao, Gang Gama, Bao Gang, Yongmei, Alatengtuya, Yinshan, Husiletu, 2013. “Monitoring of drought disaster in Xilin Guole grassland using TVDI model”, Taylor Francis group, London, ISBN 978-1-138-00019-3, pp. 299-310. [National Aeronautics and Space Administration (NASA), LANDSAT Science data user’s Handbook. National Aeronautics and Space Administration (NASA), LANDSAT 8 Atmospheric correction. Inclides COST, DOS and TOA reflectance.  Drought  is  a  natural  phenomenon,  which  occurs  in  most  regions  in  the  world,  caused  immense  damage  in agricultural  production  and  seriously  affected  on  the  environment.  Application  of  remote  sensing  data  in  studying, monitoring  and  dealing  with  drought  phenomenon  has  achieved  positive  results.  Compared  to  traditional  methods, remote  sensing  technology  with  advantages  such  as  wide  area  coverage  and  short  revisit  interval  has  been  used effectively in the study of soil moisture and monitoring vegetation health. This article presents results of soil moisture monitoring from LANDSAT multispectral images with average spatial resolution using temperature vegetation dryness index (TVDI) based analyzes a correlation between land surface temperature and land cover. Land surface temperature and soil moisture are the most important physical factors for water exchange processes and energy exchanges between land surfaces and the overlying atmosphere. Temperature can rise very quickly in the situation of drought on surface and vegetation.  This  study  shows  a  program  to  use  for  calculation  land  surface  temperature  and  temperature  vegetation index by Visual C++ programming languages, which can help to reduce costs and save time - compared to using the image processing software such as ERDAS Imagine, ENVI,... The results obtained in this study can be used to create the soil moisture map, to monitor drought phenomenon and vegetation health

Malaria in central Vietnam: analysis of risk factors by multivariate analysis and classification tree models

BACKGROUND: In Central Vietnam, forest malaria remains difficult to control due to the complex interactions between human, vector and environmental factors. METHODS: Prior to a community-based intervention to assess the efficacy of long-lasting insecticidal hammocks, a complete census (18,646 individuals) and a baseline cross-sectional survey for determining malaria prevalence and related risk factors were carried out. Multivariate analysis using survey logistic regression was combined to a classification tree model (CART) to better define the relative importance and inter-relations between the different risk factors. RESULTS: The study population was mostly from the Ra-glai ethnic group (88%), with both low education and socio-economic status and engaged mainly in forest activities (58%). The multivariate analysis confirmed forest activity, bed net use, ethnicity, age and education as risk factors for malaria infections, but could not handle multiple interactions. The CART analysis showed that the most important risk factor for malaria was the wealth category, the wealthiest group being much less infected (8.9%) than the lower and medium wealth category (16.6%). In the former, forest activity and bed net use were the most determinant risk factors for malaria, while in the lower and medium wealth category, insecticide treated nets were most important, although the latter were less protective among Ra-glai people. CONCLUSION: The combination of CART and multivariate analysis constitute a novel analytical approach, providing an accurate and dynamic picture of the main risk factors for malaria infection. Results show that the control of forest malaria remains an extremely complex task that has to address poverty-related risk factors such as education, ethnicity and housing conditions

A hybrid interval type-2 semi-supervised possibilistic fuzzy c-means clustering and particle swarm optimization for satellite image analysis

Although satellite images can provide more information about the earth’s surface in a relatively short time and over a large scale, they are affected by observation conditions and the accuracy of the image acquisition equipment. The objects on the images are often not clear and uncertain, especially at their borders. The type-1 fuzzy set based fuzzy clustering technique allows each data pattern to belong to many different clusters through membership function (MF) values, which can handle data patterns with unclear and uncertain boundaries well. However, this technique is quite sensitive to noise, outliers, and limitations in handling uncertainties. To overcome these disadvantages, we propose a hybrid method encompassing interval type-2 semi-supervised possibilistic fuzzy c-means clustering (IT2SPFCM) and Particle Swarm Optimization (PSO) to form the proposed IT2SPFCM-PSO. We experimented on some satellite images to prove the effectiveness of the proposed method. Experimental results show that the IT2SPFCM-PSO algorithm gives accuracy from 98.8% to 99.39% and is higher than that of other matching algorithms including SFCM, SMKFCM, SIIT2FCM, PFCM, SPFCM-W, SPFCM-SS, and IT2SPFCM. Analysis of the results by indicators PC-I, CE-I, D-I, XB-I, t -I, and MSE also showed that the proposed method gives better results in most experiments

Chemical profiles and biological activities of acetone extracts of nine Annonaceae plants

This study investigated the chemical components and bioactivities of acetone leaf extracts of nine Annonaceae plants collected in the Binh Chau-Phuoc Buu Nature Reserve, Vietnam. A total of 182 constituents were identified, with linolenic acid, diaeudesmin, germacrene D, 1-octadecenoic acid, 8-(3-octyl-2-oxiranyl)-1-octanol, oleic acid, and phenylmethyl ester being the major compounds. The antimicrobial activity of the extracts was evaluated using a disc diffusion assay. Eight of the nine extracts, except for the Mitrephora thorelii extract, showed an inhibition effect against Bacillus cereus and Staphylococcus aureus. The antioxidant activity of the extracts was determined using DPPH assay, and the cytotoxic activity was deter mined using SRB assay. The results showed that the acetone extracts of Artabotrys hexapetalus, Uvularia grandiflora, Polyalthia luensis, Xylopia pierrei, Sphaerocoryne affinis, Desmos cochinchinensis, Uvaria littoralis, Mitrephora thorelii, and Goniothalamus touranensis had significant activity with IC50 for the DPPH radical scavenging activity ranging from 18.56 to 702.33 μg/mL, and the IC50 for the cytotoxic effects ranged from 5.39 to 251.77 μg/mL. Overall, the results obtained provide experimental evidence for the potential use of these plants in medicine and other related fields