Tissue engineering in animal models for urinary diversion: a systematic review. by Marije Sloff, Rob de Vries, Paul Geutjes, Joanna IntHout, Merel Ritskes-Hoitinga, Egbert Oosterwijk, Wout Feitz

“…To continue to clinically translatable studies, TERM alternatives need to be evaluated in (large) controlled and standardized animal studies. Here, we investigated all evidence for the efficacy of tissue engineered constructs in animal models for urinary diversion. …”
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Building Information Modeling Impact on Cost Overrun Risk Factors and Interrelationships by Aljawharah A. Alnaser, Khalid S. Al-Gahtani, Naif M. Alsanabani

“…Building Information Modeling (BIM) has arisen as a promising technology that can enhance construction project outcomes through cost reduction when compared to conventional practices. …”
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A Study on the Pantograph Slide Wear Model Based on Energy Dissipation by Yiming Dong, Binghong Li, Zhonghua Chen, Hebin Wang, Huayang Zhang

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Identification and modelling of applicable wear conditions for stir cast Al-composite by Santanu Sardar, Santanu Kumar Karmakar, Debdulal Das

“…Abstract A comprehensive study of the tribological performance of the Al-Zn-Mg-Cu/Al2O3 composite and its matrix alloy is presented in this paper, with a specific emphasis to identify and model the applicable wear conditions where the composite provides a minimum of 50% reduction in wear rate and 25% lowering of the friction coefficient. …”
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Mesh Stiffness and Dynamic Modeling and Analysis of Modified Straight Bevel Gears by Ding Zhang, Ze-Hua Hu, Wen-Tao Liu, Jin-Yuan Tang, Zhou Sun, Zhao-Yang Tian

“…Gear modification, which involves the removal of material from the theoretical surface to improve the contact characteristics of the gear face, is widely applied in gear vibration reduction and noise optimization design. This paper establishes a dynamic model of the straight bevel gear (SBG) transmission system to accurately and efficiently evaluate the effects of different modification strategies on the vibrational characteristics of SBGs. …”
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Statistical and machine learning models for predicting university dropout and scholarship impact. by Stephan Romero, Xiyue Liao

“…Propensity score matching is conducted first with the training set to better estimate the causal effect of being a scholarship holder on dropout status while controlling confounding variables. The predictive classifiers evaluated are Lasso regression, generalized additive model, random forest, XGBoost and single-layer neural network. …”
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Modeling and Simulation of Cascading Failures in Transportation Systems during Hurricane Evacuations by Yuan Zhu, Kaan Ozbay, Hong Yang, Fan Zuo, Di Sha

“…In particular, to simulate the case in which traffic signals lose power, a capacity-reduction model from signalized intersections to unsignalized (all-way stop control) intersections was developed and calibrated using microscopic model created in SUMO and Synchro. …”
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The Utilization of a Naïve Bayes Model for Predicting the Energy Consumption of Buildings by Behnam Sadaghat, Ali Javadzade Khiavi, Babak Naeim, Erfan Khajavi, Hadi Sadaghat, Amir Reza Taghavi Khanghah

“…These algorithms are employed to improve HVAC system control, equipment sizing, energy management, and cost reduction. …”
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A probabilistic model of bilateral lymphatic spread in head and neck cancer by Roman Ludwig, Yoel Pérez Haas, Sergi Benavente, Panagiotis Balermpas, Jan Unkelbach

“…Occult disease in contralateral LNL III is highly unlikely if upstream LNL II is clinically negative, and in contralateral LNL IV, occult disease is exceedingly rare without LNL III involvement. This model offers an interpretable, probabilistic framework to inform personalized elective CTV-N volume reduction. …”
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Multiple Interventions for Diabetic Foot Ulcer Treatment Trial (MIDFUT): study protocol for a randomised controlled trial by Richard Leigh, Elizabeth McGinnis, Peter Vowden, Roberta Longo, James Wason, Sarah Brown, Paul Chadwick, Catherine Fernandez, Linda Sharples, Ian Chetter, Jane Nixon, Myka Ransom, Rachael Gilberts, Frances Game, Chris Bojke, Akila Chandrasekar, Howard Collier, Shervanthi Homer-Vanniasinkam, Edward Jude, Richard Lomas, David Russell

“…Phase II and phase III primary endpoint analysis will be conducted using a mixed-effects logistic regression model and Cox proportional hazards regression, respectively. …”
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Effects of a group-based weight management programme on anxiety and depression: A randomised controlled trial (RCT). by Laura Heath, Susan Jebb, Richard Stevens, Graham Wheeler, Amy Ahern, Emma Boyland, Jason Halford, Paul Aveyard

“…There was a transient reduction in symptoms of depression, but not anxiety, compared to self-help. …”
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Effect of acceptance and commitment therapy on fear of falling and physical activity in Parkinson’s disease: a randomised controlled trial by Jiyoung Gwak, Jinse Park

“…Data will be analysed using mixed-effects models to evaluate the impact of ACT on FOF and physical activity.Ethics and dissemination We hypothesised that ACT would lead to a significant reduction in FOF and an increase in physical activity levels compared with standard care. …”
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Modelling Future Coronary Heart Disease Mortality to 2030 in the British Isles. by John Hughes, Zubair Kabir, Kathleen Bennett, Joel W Hotchkiss, Frank Kee, Alastair H Leyland, Carolyn Davies, Piotr Bandosz, Maria Guzman-Castillo, Martin O'Flaherty, Simon Capewell, Julia Critchley

“…<h4>Methods</h4>CHD mortality models previously developed and validated in each country were extended to predict potential reductions in CHD mortality from 2010 (baseline year) to 2030. …”
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Public Sector Contracting Model for Management of Construction Tender Price Volatility by moffat tembo, Charles Kahanji, Erastus Misheng’u Mwanaumo

“…This research focuses on implementing procurement strategies by developing a public sector contracting model considering price reduction implications at the project tendering phase. …”
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Path Tracking Control of Agricultural Automatic Navigation Vehicles Based on an Improved Sparrow Search-Pure Pursuit Algorithm by Junhao Wen, Liwen Yao, Jiawei Zhou, Zidong Yang, Lijun Xu, Lijian Yao

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Real-Time Energy Management in Microgrids: Integrating T-Cell Optimization, Droop Control, and HIL Validation with OPAL-RT by Achraf Boukaibat, Nissrine Krami, Youssef Rochdi, Yassir El Bakkali, Mohamed Laamim, Abdelilah Rochd

“…This paper proposes a novel real-time energy management framework that synergizes a bio-inspired T-Cell optimization algorithm with decentralized voltage-based droop control to address these challenges. A JADE-based multi-agent system (MAS) orchestrates coordination between the T-Cell optimizer and edge-level controllers, enabling scalable and fault-tolerant decision-making. …”
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Effect of information and telephone-guided access to community support for people with chronic kidney disease: randomised controlled trial. by Tom Blakeman, Christian Blickem, Anne Kennedy, David Reeves, Peter Bower, Hannah Gaffney, Caroline Gardner, Victoria Lee, Praksha Jariwala, Shoba Dawson, Rahena Mossabir, Helen Brooks, Gerry Richardson, Eldon Spackman, Ivaylo Vassilev, Carolyn Chew-Graham, Anne Rogers

“…The intervention group reported a reduction in costs compared with control.<h4>Conclusions</h4>An intervention to provide tailored information and telephone-guided access to community resources was associated with modest but significant improvements in health related quality of life and better maintenance of blood pressure control for patients with stage 3 CKD compared with usual care. …”
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Carbon source, cell density, and the microbial community control inhibition of V. cholerae surface colonization by environmental nitrate by Jamaurie James, Renato E.R.S. Santos, Paula I. Watnick

“…Here, we show that V. cholerae nitrate respiration in aerated cultures is under control of CRP and, therefore, glucose availability. …”
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Principles of physical factor selection in the early postoperative period of breast cancer treatment: a randomized controlled study by Inna S. Evstigneeva

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Flexible manipulator trajectory tracking based on an improved adaptive particle swarm optimization algorithm with fuzzy PD control by W. Sun, Y. Jin, K. Dai, Z. Guo, F. Ma

“…However, current flexible manipulators remain largely in the research phase, with many studies revealing issues such as poor accuracy in dynamic modeling, weak tracking performance in controller design, and insufficient vibration suppression capabilities. …”
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