Production forecasting for normal pressure shale gas wells based on coupling of production decline method and LSTM model by HAN Kening, WANG Wei, FAN Dongyan, YAO Jun, LUO Fei, YANG Can

“…Finally, the error of the decline models are used as the inputs of the LSTM model, meanwhile the yield prediction under the coupling method is obtained after superposition. The results show that a type 1 gas well, Well-X1, is in the pesudo-steady flow stage, its optimal decline model is the improved hyperbolic decline model or the AKB model; a type 2 gas well, Well-X2, is in the linear flow stage, the preferred models are SEPD decline and Duong decline model. …”
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Echocardiographic estimation of acute haemodynamic response during optimization of multisite pace-maker using different pacing modalities and atrioventricular delays by Šalinger-Martinović Sonja, Perišić Zoran, Milić Dragan, Apostolović Svetlana, Tomašević Miloje, Kostić Tomislav, Božinović Nenad, Stanojević Dragana

“…The aim of our study was to investigate acute haemodynamic changes with different CRT configurations during optimization procedure. …”
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Impact of gender differences on optimal oxygen delivery thresholds to prevent acute kidney injury in cardiac surgeries with cardiopulmonary bypassCentral MessagePerspective by Tomoya Oshita, CE, Arudo Hiraoka, MD, PhD, Kosuke Nakajima, CE, Ryosuke Muraki, CE, Masahisa Arimichi, CE, Genta Chikazawa, MD, PhD, Hidenori Yoshitaka, MD, PhD

“…The aim of this study was to seek and evaluate the optimal DO2i threshold differences between males and females to avoid AKI during on-pump cardiac surgery. …”
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Influence of Different Strength Training Protocol on Breaststroke Performance in Competitive Swimmers by Nimrot Manalu, Syarifah Fathynah SS, Ivan Reano Panjaitan, Alifian Dwi Putra Situmorang, Deo Rivaldi, Muhammad Farhan Tumanggor

“…This holistic training method optimizes both physiological and biomechanical adaptations, offering a robust framework for enhancing competitive breaststroke swimming. …”
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Generalized MPC-DSVPWM Methods: Reduction Techniques and Explainable Machine Learning With Conformal Prediction for PMSM Drives by Hasan Ali Gamal Al-Kaf, Sadeq Ali Qasem Mohammed, Kyo-Beum Lee

“…MPC-DSVPWM can emulate desired multilevel inverter performance by generating virtual voltage vectors (VVs). Different reduction methods have been used to choose optimal VVs; however, they are limited to low level inverters and require large initialization of VVs. …”
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Application of Artificial Intelligence-Based Methods in Estimating Water Consumption Productivity (Case Study: Sari City) by Ramin Fazloula, Shadi Saraf, Javad Vejahat, Alireza Emadi

“…In the groundwater sector, according to the results obtained, the wavelet network performed better in estimating the desired variables than the ANN method. In the water distribution network section, the results of wavelet analysis and the outputs of the WaterGems software revealed that the deterioration of the studied water distribution network plays a significant role in losses and reduced productivity, in such a way that about 47 percent of the water entering the network is out of reach and wasted in different ways.…”
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Enhancing credit card fraud detection: the impact of oversampling rates and ensemble methods with diverse feature selection by Mohamed Akouhar, Abdallah Abarda, Mohamed El Fatini, Mohamed Ouhssini

“…The key tasks undertaken in this study include assessing the models’ performance based on accuracy, recall, and AUC scores, analyzing the effect of oversampling using the Synthetic Minority Over-sampling Technique (SMOTE), and proposing an ensemble method that combines the strengths of different feature selection techniques and classifiers. …”
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Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study by Emanuele Frassini, Teddy S. Vijfvinkel, Rick M. Butler, Maarten van der Elst, Benno H. W. Hendriks, John J. van den Dobbelsteen

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A Review of Methods for the Removal of Endocrine-Disrupting Compounds with a Focus on Oestrogens and Pharmaceuticals Found in Wastewater by Jolanta Latosińska, Agnieszka Grdulska

“…However, optimal methods of wastewater treatment depend on the quality and quantity of the wastewater, as well as the residual hormonal and pharmaceutical compounds and their hazardous effects.…”
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Comparative Analysis of Electric Buses as a Sustainable Transport Mode Using Multicriteria Decision-Making Methods by Antonio Barragán-Escandón, Henry Armijos-Cárdenas, Adrián Armijos-García, Esteban Zalamea-León, Xavier Serrano-Guerrero

“…This study identifies the optimal electric bus model for Cuenca, Ecuador, using the multicriteria decision-making methods PROMETHEE and TOPSIS. …”
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Non-invasive methods to assess seed quality based on ultra-weak photon emission and delayed luminescence by Adriano Griffo, Stefanie Sehmisch, Frédéric Laager, Andrea Pagano, Alma Balestrazzi, Anca Macovei, Andreas Börner

“…Compared to conventional methods (e.g., germination tests), non-invasive approaches allow a more sustainable and rapid evaluation of seed quality but this is limited by high costs. …”
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Classification and Identification of Foodborne Bacteria in Beef by Utilising Surface-Enhanced Raman Spectroscopy Coupled with Chemometric Methods by Huixin Zuo, Yingying Sun, Mingming Huang, Stephanie Marie Fowler, Jing Liu, Yimin Zhang, Yanwei Mao

“…First, silver nanoparticles (AgNPs) with different particle sizes were prepared as SERS-enhanced substrates by changing the concentration of sodium citrate, and the volume ratio of silver nanosol to bacterial solution was optimised to obtain the optimal SERS signal. …”
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Integrating testing and modeling methods to examine the feasibility of blended waste materials for the compressive strength of rubberized mortar by Amin Muhammad Nasir, Nassar Roz-Ud-Din, Khan Kaffayatullah, Ul Arifeen Siyab, Khan Mubasher, Qadir Muhammad Tahir

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Uterine conservative–resective surgery for selected placenta accreta spectrum cases: Surgical–vascular control methods by Rozi Aditya Aryananda, Aditiawarman Aditiawarman, Khanisyah Erza Gumilar, Manggala Pasca Wardhana, M. Ilham Aldika Akbar, Nareswari Cininta, Ernawati Ernawati, Budi Wicaksono, Hermanto Tri Joewono, Erry Gumilar Dachlan, Citra Aulia Bachtiar, Devita Kurniawati, Dian Puspita Virdayanti, Grace Ariani, Gustaaf Albert Dekker, Agus Sulistyono

“…This study aims to compare maternal outcomes between different methods of vascular control in surgical PAS management. …”
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Comparison and Evaluation of Various Drying Methods on Surface Hardness of Type IV Dental Stones: An In vitro Study by D Sriteja, VS Lakshmi Thorreti, SV Ravindra, M Rohit, Sriharsha Pudi, Abnuri Karan Kumar

“…Accurate dental restorations require die materials with optimal surface hardness. This study evaluated drying method effects on three Type IV dental stones: Elite Rock (ZERMACK), Fuji Rock (GC), and Kal Rock (KALROCK). …”
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The RBF-FD and RBF-FDTD Methods for Solving Time-Domain Electrical Transient Problems in Power Systems by Duc-Quang Vu, Nhat-Nam Nguyen, Phan-Tu Vu

“…In this paper, the development and application of the radial basis function-finite difference (RBF-FD) method and the RBF-finite difference time domain (RBF-FDTD) method for solving electrical transient problems in power systems that are defined by the time-dependent ordinary differential equations (ODEs) and the time-dependent partial differential equations (PDEs), respectively, are presented. …”
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Investigation on Methods of Determining the Grouting Quality of Embedded Rock Bolts Using High Frequency Guided Waves by Peng Li, Changsuo Zhang, Guanlin Yang

“…Through an analysis of the results of the abovementioned method, it was discovered that the optimal guided wave frequency is 2.65 MHz for the evaluation of 20 mm fully-embedded rock bolts because waves with this frequency have the largest average amplitude ratios.…”
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Aircraft Acquisition Post-Pandemic: Human vs. AI Perspectives using Multi-Criteria Decision Methods by Rizki Akbar Prasetya, Akhmad Hidayatno

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Predicting Gender from Twitter Text Messages Using Methods Based on Artificial Intelligence and Text Analysis by Md. Nyem Hasan Bhuiyan, Anisur Rahman

“…ML-based methods include five different models: LR, XGBoost, Support Vector Classification (SVC), RF, and AdaBoost, all of which were converted from text to numerical vectors using a one-hot encoding method. …”
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Comparative analysis of the results of the anterior cruciate ligament reconstruction using an autograft preparation by known and new methods by D. B. Balzhinimaev, I. N. Mikhaylov, M. E. Puseva, N. V. Tishkov

“…To date, the problem of choosing the optimal graft for anterior cruciate ligament (ACL) reconstruction and the methods for its formation is one of the main trends in the surgical treatment of patients with anterior knee joint instability.The aim. …”
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