Results from NEMO 3

The NEMO 3 experiment is located in the Modane Underground Laboratory and has been taking data since 2003 with seven isotopes. It is searching for the double beta decay process with two or zero neutrinos emitted in the final state. Precision measurements of the half-life of the isotopes due to two neutrino double beta decay have been performed and new results for 96Zr, 48Ca and 150Nd are presented here. Measurements of this process are important for reducing the uncertainties on the nuclear matrix elements. No evidence for zero neutrino double beta decay has been found and a 90% Confidence Level lower limit on the half-life of this process is derived. From this an upper limit can be set on the effective Majorana neutrino mass using the most recent nuclear matrix elements calculations.Comment: 4 pages, 6 figures, a paper submitted to the proceedings for the conference Neutrino0

Chromospheric explosions

Three issues relative to chromospheric explosions were debated. (1) Resolved: The blue-shifted components of x-ray spectral lines are signatures of chromospheric evaporation. It was concluded that the plasma rising with the corona is indeed the primary source of thermal plasma observed in the corona during flares. (2) Resolved: The excess line broading of UV and X-ray lines is accounted for by a convective velocity distribution in evaporation. It is concluded that the hypothesis that convective evaporation produces the observed X-ray line widths in flares is no more than a hypothesis. It is not supported by any self-consistent physical theory. (3) Resolved: Most chromospheric heating is driven by electron beams. Although it is possible to cast doubt on many lines of evidence for electron beams in the chromosphere, a balanced view that debaters on both sides of the question might agree to is that electron beams probably heat the low corona and upper chromosphere, but their direct impact on evaporating the chromosphere is energetically unimportant when compared to conduction. This represents a major departure from the thick-target flare models that were popular before the Workshop

Contents

The Effectiveness of Leadership Behavior Among Academician of Universiti Teknologi MARA Terengganu Thenmolli Vadeveloo, Nor Syamaliah Ngah & Kamaruzaman  Jusoff  ( 1 ) The Prospects of Monetary Cooperation in Developing Countries:Test of the World Finance CrisisCAO Liang, WANG Shi-xiao & WANG Liang-hua  ( 9 ) The TRIPS Agreement Does Little to Promote the Development of Technology Transfer to Developing Countries GUO Wei  ( 20 ) The Royal Commission Report for Strategic Management and Improvement of the Royal Malaysian PoliceNadhrah A. Kadir & Kamaruzaman Jusoff  ( 28 ) Application of Rough Classification of Multi-objective Extension Group Decision-making under UncertaintyZHU Jia-jun, ZHENG Jian-guo & QIN Chao-yong  ( 38 ) Research on BOM Mapping Transformation for Ship Construction Process YAO Shuang-liang, SUN Hong-xia, SHEN Pei-lan & LIAN Chun-guang  ( 54 ) The Impact of Foreign Capital on the Country EconomySofia L. Eremina  ( 69 ) Some Thoughts on the Practice of Job Rotation in Accounting in Colleges and UniversitiesZHAO Bei   ( 91 ) Based on the Efficiency Coefficient-BP Neural Network Study of the Risk of Early Warning TAO Yong-hong & QI Ai-lin  ( 96 ) Asymmetry Information Problem of Moral Hazard and Adverse Selection in a National Health Insurance: the Case of Ghana National Health Insurance Obeng Nyantakyi Clement  ( 101

Serial Interval Distribution of COVID-19 among Iranian Reported Confirmed Cases

Type of manuscript: short report Introduction:  Serial interval refers to the average time between of the onset of the symptoms of two successive cases. Serial interval distribution can be used for the calculation of the basic reproduction number (R0), transmission rate, and study of an epidemic trend. This study aims to investigate the mean, standard deviation, and distribution of serial interval among the confirmed cases of COVID-19 using a Gamma distribution.      Methods: To determine the serial interval, 60 confirmed infected cases of COVID-19 (based on PCR test results) in February 20th-May 20th, 2020 were selected as the cases. For these cases, 37 transmissions occurred. The data of the dates of the occurrence of primary and secondary symptoms were collected by referring to the COVID-19 surveillance system and interviewing the patients Results: The findings showed that the median and mean of the serial interval were 3.0 and 4.5± 3.5 days. The findings showed that the median of the serial interval was 3.0 days (with the inter-quartile range of 2.0-6.0). The mean serial interval was 4.5± 3.5 days (95% confidence interval: 3.1-5.5). Conclusions: Our report showed a shorter period for a serial interval less than the previous reported interval in China. It seems that regarding the shorter serial interval reported in this study, the basic reproduction numbers reported by the first papers published in Iran have been overestimated regarding the serial interval of 7.5 days. Key words: COVID-19, Serial interval, Gamma distributio

Serial Interval Distribution of COVID-19 among Iranian Reported Confirmed Cases

Type of manuscript: short report Introduction:  Serial interval refers to the average time between of the onset of the symptoms of two successive cases. Serial interval distribution can be used for the calculation of the basic reproduction number (R0), transmission rate, and study of an epidemic trend. This study aims to investigate the mean, standard deviation, and distribution of serial interval among the confirmed cases of COVID-19 using a Gamma distribution.      Methods: To determine the serial interval, 60 confirmed infected cases of COVID-19 (based on PCR test results) in February 20th-May 20th, 2020 were selected as the cases. For these cases, 37 transmissions occurred. The data of the dates of the occurrence of primary and secondary symptoms were collected by referring to the COVID-19 surveillance system and interviewing the patients Results: The findings showed that the median and mean of the serial interval were 3.0 and 4.5± 3.5 days. The findings showed that the median of the serial interval was 3.0 days (with the inter-quartile range of 2.0-6.0). The mean serial interval was 4.5± 3.5 days (95% confidence interval: 3.1-5.5). Conclusions: Our report showed a shorter period for a serial interval less than the previous reported interval in China. It seems that regarding the shorter serial interval reported in this study, the basic reproduction numbers reported by the first papers published in Iran have been overestimated regarding the serial interval of 7.5 days. Key words: COVID-19, Serial interval, Gamma distributio