LightGBM hybrid model based DEM correction for forested areas. by Qinghua Li, Dong Wang, Fengying Liu, Jiachen Yu, Zheng Jia

“…Compared to other forested area DEMs (such as FABDEM and GEDI), its accuracy is improved by more than 50%, and the performance is significantly better than other commonly used DEMs in forested areas, indicating the feasibility of this method in correcting elevation errors in forested area DEMs and its significant importance in advancing global topographic mapping.…”
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Reducing unnecessary blood tests in elderly care: a quality improvement project by Anavi Prakash, Theik Oo, Soe Aye, Jonathan Cullis

“…Although there was no significant reduction in the absolute number of blood tests and sets ordered, the number of targeted blood tests containing one set only increased from 4 to 13 (p=0.01). …”
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The Relationship between Lean Practices and Organizational Performance: An Analysis of Operations Management in a Public Institution by Patricia Inês Schwantz, Leander Luiz Klein, Eugênio de Oliveira Simonetto

“…<i>Conclusions</i>: It is evident that the members of the military unit are committed to optimizing organizational performance, showing constant improvement in productivity, rarely committing errors, cost reduction in activities and works, high effectiveness in meeting goals, prioritizing cost reduction in the execution of activities, as well as achieving goals and objectives related to the services provided.…”
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Dynamic calibration of low-cost PM2.5 sensors using trust-based consensus mechanisms by Sachit Mahajan, Dirk Helbing

“…Results show mean absolute error (MAE) reductions of up to 68% for poorly performing sensors and 35–38% for reliable ones, outperforming conventional calibration methods. …”
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The CoDiNOS trial protocol: an international randomised controlled trial of intravenous sildenafil versus inhaled nitric oxide for the treatment of pulmonary hypertension in neonat... by Anne Greenough, Thomas Schaible, Neil Patel, Dick Tibboel, Arno van Heijst, Theodore Dassios, Joost van Rosmalen, Viviana Arreo, Yogen Singh, Karel Allegaert, Suzan Cochius-den Otter, Florian Kipfmueller, Maria Dolores Elorza, Ana Sanchez, Leopoldo Martinez, Carlos Labrandero, Pertierra Cortada, Jordi Clotet Caba, Marta Aguar, Ana Gimeno, Raquel Escrig, Irma Capolupo, Pietro Bagolan, Fabrizio Ciralli, Genny Raffaeli, Giacomo Cavallaro, Valentina Condò, Paul D. Losty, Marie Horan, Nimish V. Subhedar, Emma E. Williams, Jennifer B. Brandt, Alexandra Kreissl, Berndt Urlesberger, Carmen Mesas Burgos, Björn Frenckner, Björn Larrson, Carla Pinto, Joana Saldaha, Anne Debeer, Anne Smits, Ragnhild Emblem, Richard Keijzer, Yassar Elsayed, David Tingay, Ulrike Kraemer

“…Different therapies are still mainly based on ‘trial and error’. Inhaled nitric oxide (iNO) is often the drug of first choice. …”
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ILF-neurofeedback in clinical practice: examining symptom change and performance metrics across diagnostic groups by Thomas Theis, Ute Bolduan, Sigrid Seuß, Johannes Spallek, Bernhard Wandernoth, René Mayer-Pelinski, René Mayer-Pelinski

“…IntroductionNeurofeedback (NF), particularly Infra-Low Frequency (ILF) Neurofeedback, is an emerging method of neuromodulation aimed at enhancing the brain’s self-regulation. …”
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Regulatory T Cell Responses in Participants with Type 1 Diabetes after a Single Dose of Interleukin-2: A Non-Randomised, Open Label, Adaptive Dose-Finding Trial. by John A Todd, Marina Evangelou, Antony J Cutler, Marcin L Pekalski, Neil M Walker, Helen E Stevens, Linsey Porter, Deborah J Smyth, Daniel B Rainbow, Ricardo C Ferreira, Laura Esposito, Kara M D Hunter, Kevin Loudon, Kathryn Irons, Jennie H Yang, Charles J M Bell, Helen Schuilenburg, James Heywood, Ben Challis, Sankalpa Neupane, Pamela Clarke, Gillian Coleman, Sarah Dawson, Donna Goymer, Katerina Anselmiova, Jane Kennet, Judy Brown, Sarah L Caddy, Jia Lu, Jane Greatorex, Ian Goodfellow, Chris Wallace, Tim I Tree, Mark Evans, Adrian P Mander, Simon Bond, Linda S Wicker, Frank Waldron-Lynch

“…Primary analysis of the evaluable population (n = 39) found that the optimal doses of aldesleukin to induce 10% and 20% increases in Tregs were 0.101 × 106 IU/m2 (standard error [SE] = 0.078, 95% CI = -0.052, 0.254) and 0.497 × 106 IU/m2 (SE = 0.092, 95% CI = 0.316, 0.678), respectively. …”
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Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management by Vikram Pasupuleti, Bharadwaj Thuraka, Chandra Shikhi Kodete, Saiteja Malisetty

“…The study underscores the importance of adopting advanced technologies to enhance deci-sion-making, evidenced by a 12% improvement in lead time efficiency, a silhouette coefficient of 0.75 for clustering, and an 8% reduction in replenishment errors.…”
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Benchmarking <i>K</i>_DP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations by M. Aldana, M. Aldana, S. Pulkkinen, A. von Lerber, M. R. Kumjian, D. Moisseev, D. Moisseev

“…</p> <p>Using the proposed evaluation framework, we were able to define optimized parameter settings for the methods that have user-configurable parameters. Most of these methods showed a significant reduction in the estimation errors after the optimization, with respect to the default settings. …”
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Logistics business management of provider in Thailand with smart logistics by Natpatsaya Setthachotsombut, Komson Sommanawat, Gritsada Sua-iam

“…This study identifies the performance outcomes: reducing errors, cost reduction, reducing complexity, labor reduction, and operational efficiency improvement. …”
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Integrating BIM with Lean Principles for Enhanced Decision-making: Optimizing Insulation Material Selection in Sustainable Construction Project by Karim El Mounla, Djaoued Beladjine, Karim Beddiar

“…A decision-support tool was developed using Python and RStudio to enhance stakeholder efficiency, reduce errors, and streamline communication. The tool combines Set-Based Design, Choosing By Advantages, and Big Room methods with Industry Foundation Classes (IFC) data to automatically generate and evaluate insulation options based on multi-criteria analysis. …”
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Distribution of University Admission Quotas: Problems of Competitive Selection Process by L. M. Nurieva, S. G. Kiselev

“…Moreover, the results of the present study contribute to the method of competitive distribution of university admission quotas.…”
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Synthesis of a reversible quantum Vedic multiplier on IBM quantum computers by Mojtaba Noorallahzadeh, Mohammad Mosleh

“…Vedic multipliers offer a crucial foundation in the design and implementation of digital circuits, recognized for their speed, efficiency, ease of calculations, reduction of errors, and broad applicability. Prior investigations of quantum Vedic multipliers have faced obstacles like elevated Quantum Cost (QC), substantial Garbage Output (GO), Constant Input (CI), augmented Gate Count (GC), and CNOT-V/V+ count, resulting in more resource use and implementation intricacy. …”
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GNSS time series analysis of the crustal movement network of China: Detecting the optimal order of the polynomial term and its effect on the deterministic model by Shuguang Wu, Hua Ouyang, Houpu Li, Zhao Li, Haiyang Li, Yuefan He

“…GNSS time series analysis provides an effective method for research on the earth's surface deformation, and it can be divided into two parts, deterministic models and stochastic models. …”
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Bicuspid aortic valve repair using geometric ring annuloplasty: A first-in-humans pilot trialCentral MessagePerspective by J. Scott Rankin, MD, Domenico Mazzitelli, MD, Theodor J.M. Fischlein, MD, Yeong-Hoon Choi, MD, Diana Aicher, MD, Lawrence M. Wei, MD, Vinay Badhwar, MD

“…Objective: As bicuspid aortic valve (BAV) repair evolves, more effective annular reduction and stabilization could be advantageous. …”
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Influence of virtual reality simulation (excluding augmented reality) on endodontic learning experiences of undergraduate dental students: a systematic review by Muhammad Qasim Javed, Bilal Arjumand, Shaul Hameed Klarkodi, Sundus Atique, Ayman M. Abulhamael, Muhammad Sohail Zafar

“…Aim To systematically evaluate the effectiveness of virtual reality (VR) simulation in endodontic education among undergraduate dental students, with a specific focus on four key outcomes: procedural accuracy, enhancement of student confidence, reduction in procedural errors, and overall learner satisfaction. …”
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Combined use of near infrared spectroscopy and chemometrics for the simultaneous detection of multiple illicit additions in wheat flour by Xinyi Dong, Ying Dong, Jinming Liu, Siting Wu

“…To identify multiple illicit additives within wheat flour, a simultaneous detection model for three additives—azodicarbonamide, talcum and gypsum powders—was constructed using near-infrared spectroscopy and chemometrics methods. The model combines long short-term memory network (LSTM) data dimensionality reduction with partial least squares to detect multiple illicit additives in wheat flour. …”
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DR Loss-Free Dithering-Based Digital Background Linearity Calibration for SAR-Assisted Multi-Stage ADCs With Digital Input-Interference Cancellation by Lizhen Zhang, Bo Gao, Kun-Woo Park, Kent Edrian Lozada, Raymond Mabilangan, Hyeongjin Kim, Jianhui Wu, Seung-Tak Ryu

“…By comparing the cases with and without the proposed IIC technique, a <inline-formula> <tex-math notation="LaTeX">$50\times $ </tex-math></inline-formula> reduction in convergence cycle could be achieved. The proposed calibration technique can be utilized to overcome the inherent DAC mismatch and residue gain errors to implement high-linearity ADCs, such as SAR-assisted ADCs in many different applications.…”
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Virtual-Vector-Based Predictive Torque Control for Six-Phase IM With Reduced Computational Burden and Copper Losses by Osvaldo Gonzalez, Jesus Doval-Gandoy, Magno Ayala, Jorge Rodas, Paola Maidana, Christian Medina, Carlos Romero, Larizza Delorme, Raul Gregor, Ricardo Maciel

“…Experimental results confirm reductions of approximately 79.7% in computational burden and 98.4% in copper losses when using PTC-VV compared to classic PTC. …”
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A two stage differential evolution algorithm for parameter estimation of proton exchange membrane fuel cell by Mohammad Aljaidi, Sunilkumar P. Agrawal, Pradeep Jangir, Sundaram B. Pandya, Anil Parmar, Arpita, Ali Fayez Alkoradees, Bhargavi Indrajit Trivedi, Mohammad Khishe

“…TDE resulted in a 41% reduction in SSE (minimum SSE of 0.0255 compared to 0.0432), a 92% improvement in maximum SSE, and over 99.97% reduction in standard deviation compared to the HARD-DE algorithm. …”
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