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Pediatric Short Bowel Syndrome
Published 2005“…Objective: To determine predictors of survival and of weaning off parenteral nutrition (PN) in pediatric short bowel syndrome (SBS) patients. Summary Background Data: Pediatric SBS carries extensive morbidity and high mortality, but factors believed to predict survival or weaning from PN have been based on limited studies. …”
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A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences
Published 2025“…Accurate ultra-short-term PhotoVoltaic (PV) power forecasting is crucial for the efficient and reliable operation of these energy systems. …”
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Swimming exercise improves short‐ and long‐term memories: Time‐course changes
Published 2021“…The time course of improvement of learning and both short- and long-term memories after swimming exercise were evident after 7 days and plateaued thereafter. …”
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Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model
Published 2025“…The evaluated machine learning models include traditional shallow detectors, deep learning-based detectors, and hybrid models that employ both horizontal and vertical detection strategies. …”
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Handling Semantic Repetition when Translating Arabic Short Stories: The Case of Excerpt from The Book of The Dead
Published 2019“…The main purpose of this paper is to examine the translation of one of the devices of creative writing used in the construction of Arabic short stories, namely semantic repetition. The analysis is based on comparing the occurrences of semantic repetition in the Arabic short story "ّصفحة من كتاب الموتى "Excerpt from The Book of The Dead with their translations in the target text. …”
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Moderating Effects of Tourists’ Novelty-Seeking Tendencies on Destination Image, Visitor Satisfaction, and Short- and Long-Term Revisit Intentions
Published 2013“…The effect of destination image on visitor satisfaction, as well as satisfaction on short-term revisit intentions, is significantly weaker for high novelty seekers as compared to low novelty seekers. …”
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A novel deep learning identifier for promoters and their strength using heterogeneous features
Published 2024“…<p>Promoters, which are short (50–1500 base-pair) in DNA regions, have emerged to play a critical role in the regulation of gene transcription. …”
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BIM for Economic Green Retrofitting based on LEED- EBOM
Published 2020“…The current situation of global warming requires many actions to reduce the GHG emissions and resources depletion so the governments around the world defined several visions and plans to be achieved within long term and short-term programs. Built environment is considered as one of the main participants in the global warming since it releases 40% of the total GHG in the planet. …”
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Deep Learning for Arabic Error Detection and Correction
Published 2020“…We have developed a systematic framework for spelling and grammar error detection, as well as correction at the word level, based on a bidirectional long short-term memory mechanism and word embedding, in which a polynomial network classifier is at the top of the sys tem. …”
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Feeder protection challenges with high penetration of inverter based distributed generation
Published 2013“…The increasing proportion of inverter based distributed generation (DG) in the power system may limit the short circuit power available at distribution substations and consequently cause significant troubles for the protection of distribution feeders where DG are connected. …”
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Gender-based violence during COVID-19 lockdown: case study of a community in Lagos, Nigeria
Published 2022“…Furthermore, respondents subjected to sexual (p=0.004) and physical assault (p=0.032) during the period earned significantly less money than other respondents.</p><h3>Conclusion</h3><p dir="ltr">The fact that over 1 out of every 2 females was subjected to at least one form of GBV within the short timeframe shows how unsafe girls and women in low-income communities are. …”
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A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem
Published 2020“…This paper presents a new algorithm based on integrating the use of genetic algorithms and tabu search methods to solve the unit commitment problem. …”
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Deep learning based multimodal urban air quality prediction and traffic analytics
Published 2023“…The proposed system tackles the challenge of predicting air quality at locations having no sensors or experiencing sensor failures by training a joint model on the data obtained from nearby stations/sensors using a Particle Swarm Optimization (PSO)-based merit fusion of the sensor data. The proposed methodology is evaluated using various variants of the LSTM model including Bi-directional LSTM, CNN-LSTM, and Convolutions LSTM (ConvLSTM) obtaining an improvement of 48%, 67%, and 173% for short-term, medium-term, and long-term periods, respectively, over the ARIMA model.…”
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Pregnancy-related issues in women with multiple sclerosis: an evidence-based review with practical recommendations
Published 2020“…There is a potential risk for relapse after use of gonadotropin-releasing hormone agonists during assisted reproduction techniques. At short-term, pregnancy leads to a reduction of relapses during the third trimester, followed by an increased risk of relapses during the first three months postpartum. …”
