Blood loss in one-stage bilateral total knee arthroplasty: cruciate-retaining vs. posterior stabilized. A propensity score-matched analysis by Laoruengthana Artit, Tantimethanon Thanawat, Santisathaporn Nopparat, Inta-ngam Thisayapong, Pongpirul Krit, Rattanaprichavej Piti

“…Results: Comparing CR BTKA and PS BTKA, drain output was 206.44 mL vs. 194.89 mL (p = 0.47), calculated blood loss was 886.23 mL vs. 724.89 mL (p = 0.05), and blood transfusion rate was 18% vs. 17% (p = 1.00). …”
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Pesticide Residues, Glyphosate Adsorption and Degradation Characteristics in Ethiopian Agricultural Soils by Bereket Ayenew, Endalkachew Getu

“…Background: The decline in wheat output in Ethiopia is widely attributed to pests, which has led to a rise in the usage of pesticides to boost productivity. …”
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La peinture moderniste by Clement Greenberg

“…En peinture, cet élément, ce propre, consiste en la planéité de la surface de la toile ; la peinture moderniste, formelle y trouvera donc son axe exclusif d’exploration.Dès lors, voir un tableau moderniste consiste à voir d’abord et avant tout le tableau, plutôt que ce qui y est peint. La peinture moderniste va être amenée à refuser un certain type d’espace, représentatif d’une profondeur réaliste et donc contraire à la stricte bidimensionnalité de la toile. …”
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Die religiöse Lesart von Faust I by Ulrich Gaier

“…Le Prologue au Ciel n’est pas seulement l’introduction à la première partie de Faust, mais à toute la pièce. Les archanges y présentent la figure d’un Seigneur bienveillant et en même temps celle de son contradicteur. …”
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Bearing Defect Detection with Unsupervised Neural Networks by Jianqiao Xu, Zhaolu Zuo, Danchao Wu, Bing Li, Xiaoni Li, Deyi Kong

“…Gradients of the unlabeled data are used as labels, and autoencoder networks are created with U-net to predict the output. In the second experiment, positive samples of the supervised experiment are used as the training set. …”
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Adapting to change: exploring the distribution dynamics of the alien and potentially invasive aphid species Cinara curvipes (Hemiptera: Aphididae) in the context of global warming by K. Wieczorek, A. Bugaj-Nawrocka, B. Borowiak-Sobkowiak, A. Endrestøl, H. P. Ravn, W. Solarz, R. Durak

“…Its high reproductive output allows the species to quickly colonise new habitats and exploit available resources, contributing to its potential invasiveness. …”
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Investigating the Effect of Inclination Angle of Magnetic Field Vector on Silicon PV Modules by Dioari Ulrich Combari, Emmanuel Wendsongré Ramde, Bruno Korgo, Ramatou Saré, Martial Zoungrana, Issa Zerbo

“…For example, when α moves from 0 to 90°, the power output and consequently the efficiency of the PV module relatively increase of 14%.…”
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Photovoltaic Farm Production Forecasting: Modified Metaheuristic Optimized Long Short-Term Memory-Based Networks Approach by Aleksandar Stojkovic, Bosko Nikolic, Miodrag Zivkovic, Nebojsa Bacanin

“…Although reliability plays a crucial role in enhancing the sustainability of energy production, the dependence of solar power plants on weather conditions poses challenges to maintaining consistent output without significant storage expenses. Consequently, precise forecasting of photovoltaic power generation is essential for effective grid management and energy trade market. …”
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PFAS contamination and mitigation: A comprehensive analysis of research trends and global contributions by Motasem Y.D. Alazaiza, Tharaa M. Alzghoul, Madhusudhan Bangalore Ramu, Salem S. Abu Amr, Mohammed F.M. Abushammala

“…The findings reveal a significant increase in research output, with the number of published articles rising from just 7 in 2015 to 134 in 2024, indicating a growing global awareness of PFAS contamination. …”
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Synergistic effect of artificial intelligence and new real-time disassembly sensors: Overcoming limitations and expanding application scope by Bozhou Li, Dajiang Ju, Xingwang Li, Yan Liu, Hongru He, Hao Wang

“…Then, based on the gated recurrent unit (GRU) model, the article applied the particle swarm optimization (PSO) algorithm to optimize the parameters of the GRU network and used the support vector machine (SVM) model to optimize the classification function of the network output. Finally, the optimized GRU model can be applied to predict the fault types of generators, and based on this, it can be applied to the energy industry, agriculture, medical and health, and transportation industries to verify the application scalability of artificial intelligence and new real-time disassembly sensors. …”
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Fixed-Frequency Control of Piezoelectric Resonator DC-DC Converters for Spurious Mode Avoidance by Eric Stolt, Weston D. Braun, Lei Gu, Jeronimo Segovia-Fernandez, Sombuddha Chakraborty, Ruochen Lu, Juan Rivas-Davila

“…Typically, control of piezoelectric resonator DC-DC converters is constrained to unidirectional power flow each resonant cycle for maximum efficiency operation. However, output power depends on the frequency with such control, which means the converter cannot operate at loads corresponding to spurious mode frequencies. …”
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A Mobile Detector for Muon Measurements Based on Two Different Techniques by B. Mitrica, D. Stanca, M. Petcu, I. M. Brancus, R. Margineanu, A. Apostu, C. Gomoiu, A. Saftoiu, G. Toma, H. Rebel, A. Haungs, O. Sima, A. Gherghel-Lascu, M. Niculescu-Oglinzanu

“…A more recent configuration, consists of two 1 m2 detection layers, each one including four 1 · 0,25 m2 large scintillator plates. The light output in each plate is collected by twelve optical fibers and then read out by one PMT. …”
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The evolution of health policy and systems research in 11 low- and middle-income countries and the role of the Alliance for Health Policy and Systems Research: a bibliometric analy... by Nino Paichadze, Emma K. Cook, Heather E. Rosen, Sara Kurtovic, Adnan A. Hyder

“…Abstract Objectives Given the rapid growth of the field of health policy and systems research (HPSR), it is important to monitor the research environment, especially the evolution of HPSR research outputs in low- and middle-income countries (LMICs). …”
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Prediction of the SYM‐H Index Using a Bayesian Deep Learning Method With Uncertainty Quantification by Yasser Abduallah, Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Vania K. Jordanova, Vasyl Yurchyshyn, Huseyin Cavus, Ju Jing

“…SYMHnet takes, as input, the time series of the parameters' values provided by NASA's Space Science Data Coordinated Archive and predicts, as output, the SYM‐H index value at time point t + w hours for a given time point t where w is 1 or 2. …”
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Machine learning algorithm for predict the in-hospital mortality in critically ill patients with congestive heart failure combined with chronic kidney disease by Xunliang Li, Zhijuan Wang, Wenman Zhao, Rui Shi, Yuyu Zhu, Haifeng Pan, Deguang Wang

“…Notably, the SHAP values highlighted the sequential organ failure assessment score, age, simplified acute physiology score II, and urine output as the four most influential variables in the XGBoost model. …”
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Provide a reliable location-allocation model in the humanitarian supply chain network using combined transport and the application of feasibility-robust planning by Alireza Hamidieh, Maryam Besharat Meymandi

“…The reliability policy used in the distribution hub set has improved the confidence capability of the humanitarian distribution network. Finally, the output results of the case study show the application and effectiveness of the extended relief network model.Originality/Value: The present study, as a decision support system, facilitates relief in the regions of the country in the event of a crisis. …”
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Design of a Medium Scale Ambient PM2.5 Cleaning System by Sheng-Chieh Chen, Qingfeng Cao, Thomas H. Kuehn, Charles Lo, Manoranjan Sahu, Yelia S. Mayya, David Y. H. Pui

“…We found the system with a dimension of 20 m (L) × 20 m (W) × 23 m (H) using 40 sets of 40-HP blowers can output ~1000 m3 s−1 (CMS) of cleaned air. In PM removal, the design of the system, including the filter specifications, filter bank arrangement, and filter quantity, is crucial which results in the PM filtration efficiency, filter service life, and energy consumption. …”
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Maximum power point tracking enhancement for PV in microgrids systems using dual artificial neural networks to estimate solar irradiance and temperature by Ahmad M.A. Malkawi, Zuhour A.B. Alsaqqa, Tareq O. Al-Mosa, Wa'el M. JadAllah, Mohannad M.H. Sadeddin, Ayman Al-Quraan, Mohammad AlMashagbeh

“…The proposed MPPT method stabilizes output power at the MPP, unlike traditional MPPT methods, which oscillate. …”
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Design of High-Speed Multiway Merge Sorting Networks Using Fast Single-Stage N-Sorters and N-Filters by Robert B. Kent, Marios S. Pattichis

“…Both sorting networks feature merges of 2 sorted input lists into a single sorted output list. For both, a full sort of 64 and 512 input values requires 21 and 45 serial stages, respectively. …”
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Integration of carbon dioxide sensor with GNSS receiver for dynamic air quality monitoring applications by Lin Yola, Garrin Alif Nanditho, Kaito Kobayashi, Dinesh Manandhar

“…The two systems generated the CSV database (CO2 and vehicle speed); however, IS generated the automatic synchronized and error-free data output. The statistical regression analysis of CSV data (CO2 and vehicle speed) between the NIS and IS reported significant results, which means both are reliable. …”
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