A model for preliminary cost estimation in buildings construction projects by Hassanean S. H. Jassim, Musaab F. Hasan, Mohammed J. Altaee, Yaser Gamil

“…Despite recent rapid developments in computer programs used to improve buildings construction sector cost estimation techniques, costing models utilizable in a building construction project’s early planning stages remain scarce due to the lack of a simplified, integrated method that can operate with the limited data available. …”
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Iterative Analysis of Nonlinear BBM Equations under Nonsingular Fractional Order Derivative by Gauhar Ali, Israr Ahmad, Kamal Shah, Thabet Abdeljawad

“…The concerned tool is formed when the Adomian decomposition method is coupled with some integral transform like Laplace. …”
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Enhancing Anomaly Detection Through Latent Space Manipulation in Autoencoders: A Comparative Analysis by Tomasz Walczyna, Damian Jankowski, Zbigniew Piotrowski

“…A comparative analysis of autoencoders, Variational Autoencoders, and their modified counterparts was conducted within a tailored experimental environment designed to simulate real-world scenarios. …”
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Remote Sensing-Based Assessment of Evapotranspiration Patterns in a UNESCO World Heritage Site Under Increasing Water Competition by Maria C. Moyano, Monica Garcia, Luis Juana, Laura Recuero, Lucia Tornos, Joshua B. Fisher, Néstor Fernández, Alicia Palacios-Orueta

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Apprehension toward generative artificial intelligence in healthcare: a multinational study among health sciences students by Malik Sallam, Malik Sallam, Malik Sallam, Kholoud Al-Mahzoum, Haya Alaraji, Noor Albayati, Shahad Alenzei, Fai AlFarhan, Aisha Alkandari, Sarah Alkhaldi, Noor Alhaider, Dimah Al-Zubaidi, Fatma Shammari, Mohammad Salahaldeen, Mohammad Salahaldeen, Aya Saleh Slehat, Maad M. Mijwil, Maad M. Mijwil, Doaa H. Abdelaziz, Doaa H. Abdelaziz, Ahmad Samed Al-Adwan

“…The study also explored the extent of apprehension among HSSs regarding genAI integration into their future careers.MethodsThe study was based on a self-administered online questionnaire distributed using convenience sampling. …”
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Optimal restoration algorithm for active distribution network considering island mode of the microgrids by J. Marín Quintero, J. Ayala Uribe, O. Bernal, C. Orozco Henao

“…The proposed strategy was validated using a modified IEEE 123-node test feeder with integrated Distributed Energy Resources (DERs), also,it was tested under three approaches: low and high automation penetration of controllable IEDs and special operating conditions such as load variation, topology change and cut off generation. …”
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Dual-stream hybrid architecture with adaptive multi-scale boundary-aware mechanisms for robust urban change detection in smart cities by Israr Ahmad, Fengjun Shang, Muhammad Salman Pathan, Ahsan Wajahat, Yun-Su Kim

“…In comparison with existing methods, DSHA outperformed the existing state-of-the-art methods on the benchmark dataset. …”
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A Versatile Gyro Inclinometer, Adaptive to the Borehole Trajectory, Based on a Uniaxial Angular Rate Sensor by Ya. I. Binder, I. A. Khazov

“…The properties of orientation errors are examined using linearization methods, integral calculus, fundamentals of the calculus of variations, and the theory of linear differential equations.Results. …”
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Performance assessment of basalt fibre concrete under freeze-thaw cycles using hybrid long short-term memory models by Qingguo Yang, Honghu Wang, Qigui Yi, Liuyuan Zeng, Rui Xiang, Longfei Guan, Jiawei Cheng, Keling Chen, Yunhao Li

“…The results demonstrate that swarm intelligence optimization algorithms (SIOA) significantly enhance the prediction accuracy and stability of the LSTM model. The two modified particle swarm optimization algorithms showed notable improvements: AsyLnCPSO performed well on the training set but exhibited limited adaptability to overall data variations, while the GA-HIDMS-PSO excelled in high-dimensional and complex constraint problems, demonstrating the strongest stability with a fitting accuracy of 0.938, significantly improving the prediction accuracy of concrete performance under FTCs. …”
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Mathematical modelling of cerebral haemodynamics and their effects on ICP by Ka Hing Chu, Ihsane Olakorede, Erta Beqiri, Marek Czosnyka, Peter Smielewski

“…Introduction: Electrical-equivalence mathematical models that integrate vascular and cerebrospinal fluid (CSF) compartments perform well in simulations of dynamic cerebrovascular variations and their transient effects on intracranial pressure (ICP). …”
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Clinical and Biometric Factors Associated with Prediction Errors Related to Lens Position in Vitrectomized Patients by Eloi Debourdeau, Pierre Pineau, Chloe Chamard, Julien Plat, Didier Hoa, Frederico Manna, Sandrine Akouete, Thibault Mura, Max Villain, Nicolas Molinari, Vincent Daien

“… Introduction: The aim of the study was to evaluate clinical and biometric factors leading to a prediction error related to lens position in pars plana vitrectomy. Methods: This study was conducted as a consecutive retrospective case series at the Department of Ophthalmology, Montpellier University Hospital. …”
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Modular and efficient assembly of CRISPR vectors and construction of an apple gene editing efficiency evaluation system by HOU Feifan, HUANG Chuanmi, HAO Pengbo, CONG Liu, BAI Tuanhui, SHI Jiangli, WANG Miaomiao, LIU Yu, ZHAO Yujie, WAN Ran, SHEN Yawen, ZHANG Hengtao, ZHANG Kunxi, ZHENG Xianbo, JIAO Jian

“…We aim to develop a modular and efficient CRISPR vector system, optimize the Agrobacterium-mediated transient delivery system in apple plantlets, and establish a corresponding evaluation system for assessing the efficiency of gene editing in apple. [Methods] The conventional vectors pUC19 (DNA cloning plasmid) and pHK2 (Dicotyledonous gene editing plasmid based on pCAMBIA1300 modification) were firstly modified by inserting a pair of type Ⅱ S restriction enzyme sites (such as Esp3 Ⅰ or Bsa Ⅰ etc.) into selected positions, to construct the intermediate vector pUC19-Esp3 Ⅰ-Bb and the plant expression vector backbone pHK2-Bsa Ⅰ-Bb. …”
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COMPARATIVE CHARACTERISTICS OF THE EFFECTIVENESS OF DIRECT AND INDIRECT RESTORATIONS ON TEETH WITH DISCOLORATION by I.V. Zhyvotovskyi, Yu.I. Sylenko, M.V. Khrebor

“…The obtained results were processed by the method of variational statistics using Student's test. …”
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Increasing and maintaining rates of standardized depression screening in youth with childhood-onset systemic lupus erythematosus in a pediatric rheumatology clinic by Emily Datyner, Jodi Dingle, Victoria Newsome, Lisa H. Buckley, Natasha Belsky, Seungweon Park, Manda Mitchell, Brooke Fine, Barron Patterson, T. Brent Graham, Alaina Davis

“…The aim of our quality improvement project was to increase and maintain rates of standardized depression screening for youth with cSLE seen within our pediatric rheumatology clinic. Methods Patients with cSLE 12 years of age or older seen for routine follow-up at our pediatric rheumatology clinic from September 16, 2019, through December 30, 2022, were offered the Patient Health Questionnaire-9 modified for adolescents (PHQ-A) to screen for depressive symptoms. …”
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Correlation of Intraoperative Neuromonitoring (IONM) Signal Changes with Clinical Outcomes in Patients with Compressive Cervical Myelopathy: A Prospective Study by Saumyajit Basu, Aditya Vardhan Guduru, Vikas Hanasoge, Piyush Joshi, Trinanjan Sarangi, Suraj Chakroborthy

“…Materials and Methods: The study included 58 patients with cervical compressive myelopathy who underwent decompression and fusion surgery under IONM guidance. …”
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Engineered celastrol liposomes with glycyrrhizic acid augment synergistic antitumor efficacy in breast cancer by Wei Zhang, Jiping Li, Xiuli Gao, Likun Liu, Hong Liang, Liling Yue

“…This study aimed to develop GA-modified liposomes (GA/LIP-CEL) to synergistically improve CEL’s therapeutic specificity and safety.MethodsGA/LIP-CEL nanoparticles were engineered via thin-film hydration, replacing cholesterol with GA. …”
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A Multi-Source Circular Geodesic Voting Model for Image Segmentation by Shuwang Zhou, Minglei Shu, Chong Di

“…While convolutional neural networks (CNNs) have achieved notable success by learning representative features from large datasets, they often lack geometric priors and global object information, limiting their accuracy in complex scenarios. Variational methods like active contours provide geometric priors and theoretical interpretability but require manual initialization and are sensitive to hyper-parameters. …”
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Virtual Cities: From Digital Twins to Autonomous AI Societies by Andrey Nechesov, Ivan Dorokhov, Janne Ruponen

“…A composite fidelity metric (<inline-formula> <tex-math notation="LaTeX">$F_{0}$ </tex-math></inline-formula>) provides systematic approach to evaluate accuracy variations across applications in VCs. We also discuss autonomy of AI entities and classify them according to their capacity to modify goals&#x2014;ranging from &#x201C;tools&#x201D; with fixed objectives to &#x201C;entities&#x201D; capable of redefining their very purpose. …”
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Enhancement of waste heat recovery from exhaust stack silencers in A simple cycle gas turbine by Bouria Faqihi, Fadi Ghaith

“…In this paper, a novel simple cycle gas turbine (GT) heat recovery system was modeled and evaluated through a computational method. Heat transfer channels were integrated into the existing nose and tail surfaces of the exhaust stack silencer baffles to avoid added turbine back-pressure, which is an issue with some of the existing waste heat recovery (WHR) models. …”
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Replacing normalizations with interval assumptions enhances differential expression and differential abundance analyses by Kyle C. McGovern, Justin D. Silverman

“…Abstract Background Methods for differential expression and differential abundance analysis often rely on normalization to address sample-to-sample variation in sequencing depth. …”
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