Showing 261 - 280 results of 12,146 for search 'Shotru~', query time: 5.25s Refine Results
  1. 261

    Hamstring Shortness among Undergraduate Students, Using Knee Extension Angle Test by Farhan Ishaque, Saira Bano, Hamna Khan, Suneel Kumar, Saeed Qaiser, Muhammad Asif Khan

    Published 2022-12-01
    “… Objective: To examine the causes and incidence of hamstring tightness/shortness among undergraduate physical therapy students. …”
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    Short- and Intermediate-Term Morbidity Following Total Pelvic Exenteration in Colorectal Cancer by Christopher Guske BS, Nusheen Immen BS, Devon Conant BS, Jose Laborde PhD, Joshua Linscott MD, PhD, Mitchell Hayes MD, Seyed Behzad Jazayeri MD, Adnan Fazili MD, Erin Siegel PhD, MPH, Sophie Dessureault MD, Julian Sanchez MD, Amalia Stefanou MD, Brandon Manley MD, Seth Felder MD

    Published 2025-01-01
    “…Introduction Total pelvic exenteration (TPE) for clinical T4b colorectal cancer (CRC) is associated with significant morbidity. Short (0-30 days)- and intermediate (31-90 days)-term temporal analysis of complication onset is not well described, yet needed, to better counsel patients considering TPE. …”
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  4. 264

    Short Blocklength Nonbinary Raptor-Like LDPC Coding Systems Design and Simulation by Jakub Hyla, Wojciech Sulek

    Published 2025-01-01
    “…We provide a procedure for constructing short NB QC-RL-LDPC codes with low encoding complexity and optimized graph structures. …”
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    Empirical prediction intervals applied to short term mortality forecasts and excess deaths by Ricarda Duerst, Jonas Schöley

    Published 2024-12-01
    “…Methods Using weekly death data from the Short-term Mortality Database (STMF) for 23 countries, we propose empirical prediction intervals based on the distribution of past out-of-sample forecasting errors for the study of weekly expected and excess deaths. …”
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    CodeBuddy: A Programming Assignment Management System for Short-Form Exercises by Stephen R. Piccolo, Emme Tuft, P. J. Tatlow, Zach Eliason, Ashlie Stephenson

    Published 2025-01-01
    “…It is primarily used for short-form exercises, such as those delivered in introductory-programming courses and informal-learning settings. …”
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    Short-Term Traffic Prediction considering Spatial-Temporal Characteristics of Freeway Flow by Jiaqi Wang, Yingying Ma, Xianling Yang, Teng Li, Haoxi Wei

    Published 2021-01-01
    “…This paper presents a short-term traffic prediction method, which takes the historical data of upstream points and prediction point itself and their spatial-temporal characteristics into consideration. …”
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    Reservoir Flood Forecasting Based on Long-Short-Term Memory Neural Network by LUO Zhaolin, ZHANG Bo, MENG Qingkui, CHEN Wufen

    Published 2022-01-01
    “…Accurate flood forecasting is one of the main means to well perform flood control and drainage,and the long-short-term memory neural network (LSTM) has a strong ability to fit time series relationships,which thus is very suitable for simulating and forecasting the complex time series process of basin runoff generation and confluence.To explore the applicability of LSTM in the field of reservoir flood forecasting,this paper established an LSTM model according to different forecast periods in the Baipenzhu Basin and compared it with Xinanjiang model.The LSTM model uses the rainfall and water level data in the basin as input and adopts the water levels of the reservoir at different forecast periods as output.The calibration period is five years,and the verification period is one year.The results show that LSTM has high forecast accuracy when the forecast period is 1~6 h,and the forecast accuracy is the highest when the forecast period is 1h,reaching 0.991.As the forecast period increases,the accuracy of the LSTM model gradually decreases,but its forecast accuracy is higher than that of Xinanjiang model.In addition,reflecting the complexity of the neural network,the prediction period and the number of neurons in the hidden layer will affect not only the forecast accuracy but also the training speed of the model.It is proven that the LSTM model has high forecast accuracy and is of guiding significance to reservoir flood forecasting.…”
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    Tomato Quality during Short-Term Storage Assessed by Colour and Electronic Nose by Valeria Messina, Pía Guadalupe Domínguez, Ana Maria Sancho, Noemi Walsöe de Reca, Fernando Carrari, Gabriela Grigioni

    Published 2012-01-01
    “…Correlations between odour profiles and colour parameter were obtained showing that the electronic nose is a useful technique for monitoring short-term storage of tomato.…”
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