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- 저자 : Vineeth Mohan(Vineeth Mohan ) (검색결과 2 건)
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Vineeth Mohan(Vineeth Mohan ),Pravesh Parekh(Pravesh Parekh ),Ammu Lukose(Ammu Lukose ),Sydney Moirangthem(Sydney Moirangthem ),Jitender Saini(Jitender Saini ),David J. Schretlen(David J. Schretlen ) 대한정신약물학회 2023 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.21 No.2
Objective: Schizophrenia is associated with impairment in multiple cognitive domains. There is a paucity of research on the effect of prolonged illness duration (≥ 15 years) on cognitive performance along multiple domains. In this pilot study, we used the Global Neuropsychological Assessment (GNA), a brief cognitive battery, to explore the patterns of cognitive impairment in recent-onset (≤ 2 years) compared to chronic schizophrenia (≥ 15 years), and correlate cognitive performance with brain morphometry in patients and healthy adults. Methods: We assessed cognitive performance in patients with recent-onset (n = 17, illness duration ≤ 2 years) and chronic schizophrenia (n = 14, duration ≥ 15 years), and healthy adults (n = 16) using the GNA and examined correlations between cognitive scores and gray matter volumes computed from T1-weighted magnetic resonance imaging images. Results: We observed cognitive deficits affecting multiple domains in the schizophrenia samples. Selectively greater impairment of perceptual comparison speed was found in adults with chronic schizophrenia (p = 0.009, η2 partial = 0.25). In the full sample (n = 47), perceptual comparison speed correlated significantly with gray matter volumes in the anterior and medial temporal lobes (TFCE, FWE p < 0.01). Conclusion: Along with generalized deficit across multiple cognitive domains, selectively greater impairment of perceptual comparison speed appears to characterize chronic schizophrenia. This pattern might indicate an accelerated or premature cognitive aging. Anterior-medial temporal gray matter volumes especially of the left hemisphere might underlie the impairment noted in this domain in schizophrenia.
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Assessing Bias Correction Methods in Support of Operational Weather Forecast in Arid Environment
Vineeth Krishnan Valappil,Marouane Temimi,Michael Weston,Ricardo Fonseca,Narendra Reddy Nelli,Mohan Thota,Kondapalli Niranjan Kumar 한국기상학회 2020 Asia-Pacific Journal of Atmospheric Sciences Vol.56 No.3
In this study, theWeather Research and Forecasting (WRF) model is employed for operational forecasting over the United Arab Emirates (UAE). The goal of this study is to assess two bias correction methods, namely the multiplicative Ratio Correction (RC) and Kalman Filter (KF), in support of operational mesoscale forecasts in the UAE. These techniques are applied to the 2-m temperature with the corrected temperature subsequently used to update the Relative Humidity (RH) predictions. The simulation covers the 2-year period 1st January 2017 to 31st December 2018. To evaluate the WRF performance, Meteorological Aerodrome Reports (METARs) observations at five airport stations are used. It is concluded that when any of the bias correction techniques are applied, there is a significant reduction of the bias and Root-Mean-Square-Error (RMSE). This is particularly true in the summer season and during nighttime and early morning hours, when WRF has a systematic cold bias of up to 2 °C. In addition, the bias distribution is more symmetric with a reduced spread, skewness and kurtosis values. The RC technique is found to give the best scores, with the observed and modelled temperatures generally within 0.25 °C for the first two forecast days. In addition, it successfully removes the model tendency of underperforming in the warm season. A similar improvement in the skill scores is seen in the RH forecasts albeit with smaller magnitudes. The KF and RC techniques used here have been employed successfully in operational forecasts with the potential to expand them to other model variables.
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