Datasets:

JerrySiRi

/

SWN_Bert_based_2019_2023_100

like 0

[ { "contexts": [ "A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions. ", "With a view to meet the requirements, we present AGCT (A Geometric Clustering Tool), a software package used to unravel the complex architecture of large-scale, non-necessarily synchronized time-series gene expression data. ", "AGCT capture signals on exhaustive wavelet expansions of the data, which are then embedded on a low-dimensional non-linear map using manifold learning algorithms, where geometric proximity captures potential interactions. ", "Analysis of the whole-cell Yeast Metabolic Cycle (YMC) moreover, Yeast Cell Cycle (YCC) datasets demonstrate AGCT's ability to accurately dissect all stages of metabolism and the cell cycle progression, independently of the time course and the number of patterns related to the signal. ", "Analysis of Pentachlorophenol iduced dataset demonstrat how AGCT dissects data to identify two networks: Interferon signaling and NRF2-signaling networks." ], "name": "AGCT" } ]

[]

[]

[ { "contexts": [ "An Advanced Data-Driven Hybrid Model of SARIMA-NNNAR for Tuberculosis Incidence Time Series Forecasting in Qinghai Province, China. ", "Here, we aim to develop an advanced detection technique driven by the recent TB incidence series, by fusing a seasonal autoregressive integrated moving average (SARIMA) with a neural network nonlinear autoregression (NNNAR).\n\n\n", "Subsequently, the subsamples from January 2004 to December 2015 were employed to measure the efficiency of the single SARIMA, NNNAR, and hybrid SARIMA-NNNAR approaches, whereas the hold-out subsamples were used to test their predictive performances. ", "According to the above-mentioned criteria, the best-fitting basic and hybrid techniques consisted of SARIMA(2,0,2)(1,1,0)12, NNNAR(7,1,4)12 and SARIMA(2,0,2)(1,1,0)12-NNNAR(3,1,7)12, respectively. ", "The best-mimicking SARIMA-NNNAR hybrid model outperforms the best-simulating basic SARIMA and NNNAR models, and has a potential application in forecasting and assessing the TB epidemic trends in Qinghai. " ], "name": "SARIMA" }, { "contexts": [ "An Advanced Data-Driven Hybrid Model of SARIMA-NNNAR for Tuberculosis Incidence Time Series Forecasting in Qinghai Province, China. ", "Here, we aim to develop an advanced detection technique driven by the recent TB incidence series, by fusing a seasonal autoregressive integrated moving average (SARIMA) with a neural network nonlinear autoregression (NNNAR).\n\n\n", "Subsequently, the subsamples from January 2004 to December 2015 were employed to measure the efficiency of the single SARIMA, NNNAR, and hybrid SARIMA-NNNAR approaches, whereas the hold-out subsamples were used to test their predictive performances. ", "According to the above-mentioned criteria, the best-fitting basic and hybrid techniques consisted of SARIMA(2,0,2)(1,1,0)12, NNNAR(7,1,4)12 and SARIMA(2,0,2)(1,1,0)12-NNNAR(3,1,7)12, respectively. ", "The best-mimicking SARIMA-NNNAR hybrid model outperforms the best-simulating basic SARIMA and NNNAR models, and has a potential application in forecasting and assessing the TB epidemic trends in Qinghai. " ], "name": "NNNAR" } ]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[ { "contexts": [ "A systematic review and meta-analysis was performed using Review Manager Software version 5.3 (RevMan 5.3).\n\n\n" ], "name": "Review Manager Software version 5.3 (RevMan 5.3)" } ]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[ { "contexts": [ "Advances in the rehabilitation of intensive care unit acquired weakness: A case report on the promising use of robotics and virtual reality coupled to physiotherapy. " ], "name": "robotics" }, { "contexts": [ "Advances in the rehabilitation of intensive care unit acquired weakness: A case report on the promising use of robotics and virtual reality coupled to physiotherapy. ", "Given that the patient showed a relatively limited improvement after conventional physiotherapy, he was provided with daily sessions of robot-aided training for upper and lower limbs and virtual reality-aided rehabilitation for other 4 months, beyond conventional physiotherapy.\n\n\n" ], "name": "virtual reality" } ]

[]

[]

[]

[ { "contexts": [ "In this paper, a data-driven improved real-time control optimization-simulation tool called SWMM_FLC, which is based on the FLC (fuzzy logic control) and GA (genetic algorithm), was developed for smart decision-making of flooding mitigation. ", "A calibrated and validated SWMM model was used for applying SWMM_FLC to explore the potential in reducing downstream flooding volume at UDSs. ", "The accumulated flooding volume reduction by up to 4.55% under eight artificial rainfall scenarios discloses the possibility of adopting SWMM_FLC as appropriate software to assist decision-makers to effectively minimize urban flooding volume at downstream urban drainage systems." ], "name": "SWMM_FLC" }, { "contexts": [ "In this paper, a data-driven improved real-time control optimization-simulation tool called SWMM_FLC, which is based on the FLC (fuzzy logic control) and GA (genetic algorithm), was developed for smart decision-making of flooding mitigation. " ], "name": "FLC (fuzzy logic control)" }, { "contexts": [ "In this paper, a data-driven improved real-time control optimization-simulation tool called SWMM_FLC, which is based on the FLC (fuzzy logic control) and GA (genetic algorithm), was developed for smart decision-making of flooding mitigation. " ], "name": "GA (genetic algorithm)" }, { "contexts": [ "A calibrated and validated SWMM model was used for applying SWMM_FLC to explore the potential in reducing downstream flooding volume at UDSs. " ], "name": "SWMM model" } ]

[]

[]

[]

[]

[]

[]

[ { "contexts": [ "The analyses were performed by gas chromatography-mass spectrometry after derivatisation of p-cresol with anhydride acetic and pyridine. " ], "name": "gas chromatography-mass spectrometry" }, { "contexts": [ "Better results were achieved by the QuEChERS method, which showed recovery higher than 80%, relative standard deviation lower than 16%, limit of quantification of 5 μg kg-1 and linearity between 5 and 400 μg kg-1 with R2 0.99. " ], "name": "QuEChERS method" } ]

[]

[]

[]

[]

[ { "contexts": [ "Thirty-one patients were eligible and underwent echo-ultrasound, computer tomography, magnetic resonance and lymphoscintigraphy (LSG) as diagnostic procedures. " ], "name": "echo-ultrasound" }, { "contexts": [ "Thirty-one patients were eligible and underwent echo-ultrasound, computer tomography, magnetic resonance and lymphoscintigraphy (LSG) as diagnostic procedures. " ], "name": "computer tomography" }, { "contexts": [ "Thirty-one patients were eligible and underwent echo-ultrasound, computer tomography, magnetic resonance and lymphoscintigraphy (LSG) as diagnostic procedures. " ], "name": "lymphoscintigraphy (LSG)" } ]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[ { "contexts": [ "Statistical analyses were performed with STATA 13.0 statistical software. " ], "name": "STATA 13.0 statistical software" } ]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[ { "contexts": [ "A collaborative narrative review was conducted using literature published through May 2020 (PubMed), which comprised three main topics: reduced in-person interactions arguing for increasing virtual and image-based care, optimisation of the delivery of care, and the effect of COVID-19 in health care facilities on decision-making by patients and their families.\n\n\n" ], "name": "PubMed" } ]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[]

[ { "contexts": [ "The Westlaw database (Thomson Reuters Corporation, Toronto, Canada) was queried for jury verdicts and settlements related to cholecystectomy and malpractice between 2000 and 2018. " ], "name": "Westlaw database" } ]

[]