8 research outputs found

    Effects of job stress on job performance and job satisfaction

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    Job stress is increasingly becoming an epidemic in the work environment. Female Nursing staff is constantly encountering trouble, crisis and conflict in the work environment prevailing in the public sector hospitals that require them to cope with. The central theme of this research study is focused on digging out the fundamental causes of job stress of female nurses. Further, how job stress affects their job performance and job satisfaction. The study generated quantitative data which will open doors for further research in this area. This research study adopts quantitative approach using questionnaire methods. Several procedures were applied to carry out rigorous quantitative analysis. Organizations can help reduce the overall effects of job stress by developing and implementing prevention and intervention methods to help employees manage and cope with job stress. To reduce job stress of female nurses, this study suggests several measures along with employee’s assistance programe (EAP). This programme is focused on the employee’s total mental and physical condition. It was found that public sector hospitals are factories to manufacture stress. Female nurses experience more stress than male counterpart in the public sector hospitals. The findings of this paper revealed that job stress has negative co relation with job performance and job satisfaction

    Search for light dark matter from atmosphere in PandaX-4T

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    We report a search for light dark matter produced through the cascading decay of η\eta mesons, which are created as a result of inelastic collisions between cosmic rays and Earth's atmosphere. We introduce a new and general framework, publicly accessible, designed to address boosted dark matter specifically, with which a full and dedicated simulation including both elastic and quasi-elastic processes of Earth attenuation effect on the dark matter particles arriving at the detector is performed. In the PandaX-4T commissioning data of 0.63 tonne\cdotyear exposure, no significant excess over background is observed. The first constraints on the interaction between light dark matter generated in the atmosphere and nucleus through a light scalar mediator are obtained. The lowest excluded cross-section is set at 5.9×1037cm25.9 \times 10^{-37}{\rm cm^2} for dark matter mass of 0.10.1 MeV/c2/c^2 and mediator mass of 300 MeV/c2/c^2. The lowest upper limit of η\eta to dark matter decay branching ratio is 1.6×1071.6 \times 10^{-7}

    A Search for Light Fermionic Dark Matter Absorption on Electrons in PandaX-4T

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    We report a search on a sub-MeV fermionic dark matter absorbed by electrons with an outgoing active neutrino using the 0.63 tonne-year exposure collected by PandaX-4T liquid xenon experiment. No significant signals are observed over the expected background. The data are interpreted into limits to the effective couplings between such dark matter and electrons. For axial-vector or vector interactions, our sensitivity is competitive in comparison to existing astrophysical bounds on the decay of such dark matter into photon final states. In particular, we present the first direct detection limits for an axial-vector (vector) interaction which are the strongest in the mass range from 25 to 45 (35 to 50) keV/c2^2

    Breast cancer management pathways during the COVID-19 pandemic: outcomes from the UK ‘Alert Level 4’ phase of the B-MaP-C study

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    Abstract: Background: The B-MaP-C study aimed to determine alterations to breast cancer (BC) management during the peak transmission period of the UK COVID-19 pandemic and the potential impact of these treatment decisions. Methods: This was a national cohort study of patients with early BC undergoing multidisciplinary team (MDT)-guided treatment recommendations during the pandemic, designated ‘standard’ or ‘COVID-altered’, in the preoperative, operative and post-operative setting. Findings: Of 3776 patients (from 64 UK units) in the study, 2246 (59%) had ‘COVID-altered’ management. ‘Bridging’ endocrine therapy was used (n = 951) where theatre capacity was reduced. There was increasing access to COVID-19 low-risk theatres during the study period (59%). In line with national guidance, immediate breast reconstruction was avoided (n = 299). Where adjuvant chemotherapy was omitted (n = 81), the median benefit was only 3% (IQR 2–9%) using ‘NHS Predict’. There was the rapid adoption of new evidence-based hypofractionated radiotherapy (n = 781, from 46 units). Only 14 patients (1%) tested positive for SARS-CoV-2 during their treatment journey. Conclusions: The majority of ‘COVID-altered’ management decisions were largely in line with pre-COVID evidence-based guidelines, implying that breast cancer survival outcomes are unlikely to be negatively impacted by the pandemic. However, in this study, the potential impact of delays to BC presentation or diagnosis remains unknown

    Suppression of accidental backgrounds with deep neural networks in the PandaX-II experiment

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    The PandaX dark matter detection project searches for dark matter particles using the technology of dual phase xenon time projection chamber. The low expected rate of the signal events makes the control of backgrounds crucial for the experiment success. In addition to reducing external and internal backgrounds during the construction and operation of the detector, special techniques are employed to suppress the background events during the data analysis. In this article, we demonstrate the use of deep neural networks(DNNs)for suppressing the accidental backgrounds, as an alternative to the boosted-decision-tree method used in previous analysis of PandaX-II. A new data preparation approach is proposed to enhance the stability of the machine learning algorithms to be run and ultimately the sensitivity of the final data analysis.Comment: 12 pages, 5 figures, 3 tables, version accepted by JINS

    Measurement of Double Beta Decay Half-life of 136^{136}Xe with the PandaX-4T Detector

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    Precise measurement of two-neutrino double beta decay~(DBD) half-life is an important step for the searches of Majorana neutrinos with neutrinoless double-beta decay. We report the measurement of DBD half-life of 136^{136}Xe using the PandaX-4T dual-phase Time Projection Chamber~(TPC) with 3.7-tonne natural xenon and the first 94.9-day physics data release. The background model in the fiducial volume is well constrained in situ by events in the outer active region. With a 136^{136}Xe exposure of 15.5\,kg-year, we establish the half-life as 2.27±0.03(stat.)±0.09(syst.)×10212.27 \pm 0.03 (\textrm{stat.})\pm 0.09 (\textrm{syst.})\times 10^{21} year. This is the first DBD half-life measurement with natural xenon and demonstrates the physics capability of a large-scale liquid xenon TPC in the field of rare event searches.Comment: 6 pages, 4 figure

    Determination of Double Beta Decay Half-Life of 136Xe with the PandaX-4T Natural Xenon Detector

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    Precise measurement of two-neutrino double beta decay (DBD) half-life is an important step for the searches of Majorana neutrinos with neutrinoless double beta decay. We report the measurement of DBD half-life of 136Xe using the PandaX-4T dual-phase Time Projection Chamber (TPC) with 3.7-tonne natural xenon and the first 94.9-day physics data release. The background model in the fiducial volume is well constrained in situ by events in the outer active region. With a 136Xe exposure of 15.5 kg-year, we establish the half-life as 2.27±0.03stat.±0.10syst.×1021 years. This is the first DBD half-life measurement with natural xenon and demonstrates the physics capability of a large-scale liquid xenon TPC in the field of rare event searches
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