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predictive cases » predictive models (Expand Search), predictive model (Expand Search)
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predictive cases » predictive models (Expand Search), predictive model (Expand Search)
changes » change (Expand Search)
decrease » increase (Expand Search)
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Detection of statistically significant network changes in complex biological networks
Published 2017“…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”
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Board changes and CEO turnover
Published 2014“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…<p dir="ltr">NanoLuc (NLuc) <u>luciferase</u> has found extensive application in designing a range of <u>biologica</u><u>l</u><u> assays,</u> including <u>gene expression analysis</u>, protein-protein interaction, and protein conformational changes due to its enhanced brightness and small size. …”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Global gene expression profiling of LY411575-treated cells revealed changes in multiple signaling pathways, including focal adhesion, insulin, TGFβ, IL6, and Notch signaling, and decreased the expression of genes associated with functional categories of tissue development. …”
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Vocal Changes in Patients With Polycystic Ovary Syndrome
Published 2011“…There was no statistically significant difference in the acoustic parameters except for an increase in the relative average perturbation (P value = 0.035) and a decrease in maximum phonation time (P value = 0.001) in patients with PCOS. …”
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Inverse Model Predictive Control for Power Electronic Converters
Published 2024“…<p dir="ltr">In this paper, a new control technique called inverse model predictive control (IMPC) is proposed for power electronic converters. …”
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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks
Published 2022“…We also present a case-study of our model’s interpretability illustrating how clinicians can gain some transparency into the predictions.…”
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Essays on the effect of excess compensation and governance changes on firm value
Published 2012“…This dissertation consists of three essays on the effect of excess compensation and corporate governance changes on the firm’s performance. The first paper utilizes a cost minimization stochastic frontier approach to investigate the efficiency of director total compensation. …”
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Predicting stability of classes in an object-oriented system
Published 2010“…Many metrics have been proposed to assess these software attributes and for this purpose, prediction models have been widely used. However, in almost all cases, these models were not efficient when used to predict the quality characteristics (stability or other) of new unseen software as their prediction accuracy decreases significantly. …”
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Metabolomics of Dynamic Changes in Insulin Resistance Before and After Exercise in PCOS
Published 2019“…While compering within the groups, no significant changes in the amino acid levels before and after exercise were observed. …”
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Prediction of the Backwater Level Due to Bridge Constriction in Waterways
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Role of nutritional indices in predicting outcomes of vascular surgery
Published 2019“…We aimed to assess the combined use of recent significant weight loss (>10% body mass) and serum albumin levels as a nutritional status index to predict outcomes. …”
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Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger
Published 2025“…Focusing on the Cryogenic Heat Exchanger (CHE) as a case study, an essential component of liquefaction, the framework integrates digital twins (DT), machine learning (ML), and predictive model to enable real-time monitoring, early failure detection, and proactive mitigation. …”
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Conceptual Skills in Leading Change: A Competence Approach to Public Sector Leadership
Published 2019“…Leaders’ capacity to think about abstract and complex ideas has long been acknowledged as essential to leadership tasks such as planning and analysis; however, because conceptualisation is often ambiguous and difficult to understand, many frameworks of leadership and change lack clarity on the actual significance of leaders’ conceptual skills when leading change. …”
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Swimming exercise improves short‐ and long‐term memories: Time‐course changes
Published 2021“…In this investigation, changes in the spatial hippocampal memory following a time-course of swimming exercise training were examined. …”